PUBLICATIONS

Journal Papers:

[1] J.P. Carvalho, J.M. Fonseca, A.D. Mora, Terrain Classification Using Static and Dynamic Texture Features by UAV Downwash Effect, J. Autom. Mob. Robot. Intell. Syst. 13 (2019) 84–93. https://doi.org/10.14313/JAMRIS_1-2019/11.

[2] J.P. Matos-Carvalho, F. Moutinho, A.B. Salvado, T. Carrasqueira, R. Campos-Rebelo, D. Pedro, L.M. Campos, J.M. Fonseca, A. Mora, Static and Dynamic Algorithms for Terrain Classification in UAV Aerial Imagery, Remote Sens. 11 (2019) 2501. https://doi.org/10.3390/rs11212501.

[3] – S. Tomic, M. Beko, M. Tuba, “Target Localization in NLOS Environments Using RSS and TOA Measurements’’, IEEE Wireless Communications Letters, vol. 7, no. 6, pp. 1062-1065, December 2018. https://doi.org/10.1109/LWC.2018.2858248 ^ieeexplore, ^{web of science}

[4] – K. Turbic, M. Beko, L. Correia, “A Mobility Model for Wearable Antennas on Dynamic Users’’, IEEE Access, vol. 6, pp. 63635-63648, December 2018. http://dx.doi.org/10.1109/ACCESS.2018.2877500 ^ieeexplore, ^{web of science}

[5] – S. Tomic, M. Beko, M. Tuba, “A Robust NLOS Bias Mitigation Technique for RSS-TOA-based Target Localization’’, IEEE Signal Processing Letters, vol. 26, no. 1, pp. 64-68, January 2019. https://doi.org/10.1109/LSP.2018.2879720 ^ieeexplore, ^{web of science}

[6] – S. Tomic, M. Beko, M. Tuba, “A Linear Estimator for Network Localization Using Distance and Directional Data’’, IEEE Signal Processing Letters, vol. 26, no. 3, pp. 405-409, March 2019. https://doi.org/10.1109/LSP.2019.2892225 ^{ieeexplore, web of science}

[7] – S. Tomic, M. Beko, “Target Localization via Integrated and Segregated Ranging Based on RSS and TOA Measurements’’, Sensors, vol. 19, no. 230, pp. 1-20, January 2019. http://dx.doi.org/10.3390/s19020230 ^{web of science}

[8] – D. Pedro, S. Tomic, L. Bernardo, M. Beko, P. Pinto, “Algorithms for Estimating the Location of Remote Nodes using Smartphones’’, IEEE Access, vol. 7, pp. 33713-33727, December 2019. https://doi.org/10.1109/ACCESS.2019.2904241 ^{ieeexplore, web of science}

[9] – S. Tomic, M. Beko, R. Dinis, “Estimating Directional Data From Network Topology for Improving Tracking Performance’’, Journal of Sensors and Actuator Networks, vol. 8, no. 30, pp. 1-20, May 2019. https://doi.org/10.3390/jsan8020030 ^{web of science}

[10] – S. Tomic, M. Beko, “A Geometric Approach for Distributed Multi-hop Target Localization in Cooperative Networks’’, IEEE Transactions on Vehicular Technology, Regular Paper in Wireless Networks Section, vol. 69, no. 1, pp. 914-919, January 2020. https://doi.org/10.1109/TVT.2019.2952715 ^{ieeexplore, web of science}

[11] – G Douzas, F Bacao, J Fonseca, M Khudinyan (2019) “Imbalanced Learning in Land Cover Classification: 3040. (Q1 Earth and Planetary Sciences). https://doi.org/10.3390/rs11243040

[12] I. M. Filanovsky, L. B. Oliveira, N. T. Tchamov, “Using Modified Bessel Functions for Analysis of Nonlinear Effects in a MOS Transistor Operating in Moderate Inversion”, IEEE Trans. Circuits and Systems I – Regular Papers. vol. 66, no. 5, pp. 1897-1907, Maio 2019. (Q1 – IF:3.934).

https://ieeexplore.ieee.org/document/8602361

[13] D. Batista, L. B. Oliveira, N. Paulino, C. Carvalho, J. P. Oliveira, J. Farinhas, A. Charas, P. M. Santos, “Combined Organic Photovoltaic Cells and Ultra Low Power CMOS Circuit for Indoor Light Energy Harvesting”. Sensors, vol. 19 nº8, pp. 1-20, Abril 2019. (Q1 – IF: 3.031). https://doi.org/10.3390/s19081803

[14] S. Tomic, M. Beko, L. M. Camarinha-Matos, L. B. Oliveira, “Distributed Localization with Complemented RSS and AOA Measurements: Theory and Methods”, Special Issue Multi-Channel and Multi-Agent Signal Processing, Appl. Sci., (Q2 – IF:2.27) https://doi.org/10.3390/app10010272

[15] Nuno Pereira, João Goes, “A Charge-Sharing Analog-to-Digital Converter with Embedded Downconversion using a Variable Reference Voltage”, International Journal of Circuit Theory and Applications (IJCTA), Wiley, 2020.

[16] S. Tomic, M. Beko, “A Geometric Approach for Distributed Multi-hop Target Localization in Cooperative Networks’’, IEEE Transactions on Vehicular Technology, Regular Paper in Wireless Networks Section, vol. 69, no. 1, pp. 914-919, Jan. 2020. https://doi.org/10.1109/TVT.2019.2952715

[17] S. S. Stankovic, M. Beko, M. S. Stankovic, “Nonlinear Robustified Stochastic Consensus Seeking’’, Elsevier Systems and Control Letters, vol. 139, no. 104667, pp. 1-9, May 2020. https://doi.org/10.1016/j.sysconle.2020.104667

[18] S. Correia, M. Beko, L. Cruz, “Energy-based Localization by Enhanced Elephant Herding Optimization’’, IEEE Access, vol. 8, no. 1, pp. 28548-28559, Dec. 2020. https://doi.org/10.1109/ACCESS.2020.2971787

[19] L. Berbakov, G. Dimic, M. Beko, J. Vasiljevic, “Collaborative Data Transmission in Wireless Sensor Networks’’, IEEE Access, vol. 8, no. 1, pp. 39647-39658, Dec. 2020. https://doi.org/10.1109/ACCESS.2020.2975834

[20] S. Tomic, M. Beko, “Special Issue: Localization in Wireless Sensor Networks’’, Journal of Sensor and Actuator Networks, vol. 9, no. 14, pp. 1-4, February 2020. https://doi.org/10.3390/jsan9010014

[21] S. Tomic, M. Beko, M. Tuba, “Exploiting Orientation Information to Improve Range-based Localization Accuracy’’, IEEE Access, vol. 8, no. 1, pp. 44041-44047, December 2020. https://doi.org/10.1109/ACCESS.2020.2978298

[22] A. Rajaram, R. Dinis, D. Jayakody, M. Beko, “Secure Information Transmission with Self Jamming SWIPT”, Electronics, vol. 9, no. 587, pp. 1-13, March 2020. http://dx.doi.org/10.3390/electronics9040587 ^{web of science}

[23] S. Vujovic, A. Draganic, I. Orovic, M. Dakovic, M. Beko, S. Stankovic, “Sparse analyzer tool for biomedical signals’’, Sensors, vol. 20, no. 2602, pp. 1-18, May 2020. https://doi.org/10.3390/s20092602 ^{web of science}

[24] S. Correia, J. Fé, S. Tomic, M. Beko, “Development of a Test-bench for Evaluating the Embedded Implementation of the Improved Elephant Herding Optimization Algorithm Applied to Energy-based Acoustic Localization’’, Computers, vol. 9, no. 87, November 2020. http://dx.doi.org/10.3390/computers9040087

[25] Pereira-Pires, J. E., Aubard, V., Ribeiro, R. A., Fonseca, J. M., Silva, J. M. N., & Mora, A. (2020). Semi-Automatic Methodology for Fire Break Maintenance Operations Detection with Sentinel-2 Imagery and Artificial Neural Network. Remote Sensing, 12(6), 909. https://doi.org/10.3390/rs12060909

[26] Aubard, V., Pereira-Pires, J. E., Campagnolo, M. L., Pereira, J. M. C., Mora, A., & Silva, J. M. N. (2020). Fully Automated Countrywide Monitoring of Fuel Break Maintenance Operations. Remote Sensing, 12(18), 2879. https://doi.org/10.3390/rs12182879

2021:

[27] M. Lourenço, et al, An Integrated Decision Support System for Improving Wildfire Suppression Management, International Journal of Geo-Information, 2021, 10(8), 497; https://doi.org/10.3390/ijgi10080497.

28 – S. Correia, et al, “Development of a Test-bench for Evaluating the Embedded Implementation of the Improved Elephant Herding Optimization Algorithm Applied to Energy-based Acoustic Localization’’, Computers, vol. 10, no. 4, March 2021. https://doi.org/10.3390/computers9040087

29 – M. Costa, et al, “An SOCP Estimator for Hybrid RSS and AOA Target Localization in Sensor Networks’’, Sensors, vol. 21, no. 5, March 2021. https://doi.org/10.3390/s21051731

30 – M. Beko, S. Tomic, “Towards Secure Localization in Randomly Deployed Wireless Network’’, IEEE IoT Journal, vol. 8, no. 24, pp. 17436-17448, Dec. 2021. https://doi.org/10.1109/JIOT.2021.3078216

31 – I. Orovic, et al, “Multi-base compressive sensing procedure with application to ECG signals reconstruction’’, EURASIP Journal on Advances in Signal Processing, vol. 21, May 2021. https://doi.org/10.1186/s13634-021-00728-4

32 – Miloš Brajović, Irena Orović, Marko Beko, and Srdjan Stanković , “Parameter Optimization of Orthogonal Discrete Hermite Transform Formed Using Eigenvectors of a Symmetric Tridiagonal Matrix”, Elsevier Journal on DSP, vol. 117, pp. 1-11, October 2021.https://doi.org/10.1016/j.dsp.2021.103140

33 – S. Correia, S. Tomic and M. Beko, “A Feed-forward Neural Network Approach for Energy-Based Acoustic Source Localization”, Journal of Sensor and Actuator Networks, vol. 10, no. 2, pp. 1-16, April 2021. https://doi.org/10.3390/jsan10020029

34 – J. P. Matos-Carvalho, R. Santos, S. Tomic and M. Beko, “GTRS-Based Algorithm for UAV Navigation in Indoor Environments Employing Range Measurements and Odometry,” in IEEE Access, vol. 9, pp. 89120-89132, 2021, doi: 10.1109/ACCESS.2021.3089900.

35 – Diogo Oliveira, Leonardo Martins, André Mora, Carlos Damásio, Mário Caetano, José Fonseca & Rita A. Ribeiro (2021) Data fusion approach for eucalyptus trees identification, International Journal of Remote Sensing, 42:11, 4087-4109. https://doi.org/10.1080/01431161.2021.1883198

36 – Miguel Tavares, José Gerald, João Goes, 2021, Zoom discrete spectral correlation function, with application to cyclostationary signal detection, Digital Signal Processing, Elsevier, https://doi.org/10.1016/j.dsp.2021.103316

37 – Silva, Carlos, Jorge Martins, Jonas Deuermeier, Maria Elias Pereira, Ana Rovisco, Pedro Barquinha, João Goes, Rodrigo Martins, Elvira Fortunato, and Asal Kiazadeh. 2021. “Towards Sustainable Crossbar Artificial Synapses with Zinc-Tin Oxide” Electronic Materials 2, no. 2: 105-115.

https://doi.org/10.3390/electronicmat2020009

38 – Fonseca, Joao, Georgios Douzas, and Fernando Bacao. 2021. “Increasing the Effectiveness of Active Learning: Introducing Artificial Data Generation in Active Learning for Land Use/Land Cover Classification” Remote Sensing 13, no. 13: 2619. https://doi.org/10.3390/rs13132619

39 – Fonseca, Joao, Georgios Douzas, and Fernando Bacao. 2021. “Improving Imbalanced Land Cover Classification with K-Means SMOTE: Detecting and Oversampling Distinctive Minority Spectral Signatures” Information 12, no. 7: 266. https://doi.org/10.3390/info12070266

40 – Bacao, Fernando, Maribel Yasmina Santos, and Martin Behnisch. 2020. “Spatial Data Science” ISPRS International Journal of Geo-Information 9, no. 7: 428. https://doi.org/10.3390/ijgi9070428

41 – Correia, Ana, Vítor Grade Tavares, Pedro Barquinha, and João Goes. 2022. “All-Standard-Cell-Based Analog-to-Digital Architectures Well-Suited for Internet of Things Applications” Journal of Low Power Electronics and Applications 12, no. 4: 64. https://doi.org/10.3390/jlpea12040064

42 – S. Shrivastava, P. G. Bahubalindruni and J. Goes, “A Pulse Width Modulator Using a High-Speed Comparator With Flexible Oxide TFT Technology,” in IEEE Solid-State Circuits Letters, vol. 5, pp. 288-291, 2022, doi: 10.1109/LSSC.2022.3228072.

43 – Miguel Tavares, José Gerald, João Goes, “Zoom discrete spectral correlation function, with application to cyclostationary signal detection”, Digital Signal Processing, Vol. 121, March 2022. DOI: https://doi.org/10.1016/j.dsp.2021.103316

44 – B. Tiwari, P. G. Bahubalindruni, S. Shrivastava and J. Goes, “Mixed-Signal Building Blocks for Communication Systems Using Flexible Oxide TFT Technology,” in IEEE Journal on Flexible Electronics, vol. 1, no. 4, pp. 223-230, Oct. 2022, doi: 10.1109/JFLEX.2022.3220719.

45 – Barbosa, B.; Rocha, J.; Costa, H.; Caetano, M. “Uncovering Vegetation Changes in the Urban–Rural Interface through Semi-Automatic Methods”. Appl. Sci. 2022, 12, 2294, https://doi.org/10.3390/app12052294

46 – Barbosa, B.; Rocha, J.; Costa, H.; Caetano, M. Automatic detection of vegetation cover changes in urban-rural interface areas. MethodsX 2022, 101643, https://doi.org/10.1016/j.mex.2022.101643

47 – Costa, H.; Benevides, P.; Moreira, F. D.; Moraes, D.; Caetano, M. Spatially Stratified and Multi-Stage Approach for National Land Cover Mapping Based on Sentinel-2 Data and Expert Knowledge. Remote Sens. 2022, 14, 1865, https://doi.org/10.3390/rs14081865 .

48 – Sá, A. C. L., Aparicio, B., Benali, A., Bruni, C., Salis, M., Silva, F., Marta-Almeida, M., Pereira, S., Rocha, A., and Pereira, J.: Coupling wildfire spread simulations and connectivity analysis for hazard assessment: a case study in Serra da Cabreira, Portugal, Nat. Hazards Earth Syst. Sci., 22, 3917–3938, https://doi.org/10.5194/nhess-22-3917-2022, 2022.

49 – Bruno A. Aparício, José M.C. Pereira, Francisco C. Santos, Chiara Bruni, Ana C.L. Sá, Combining wildfire behaviour simulations and network analysis to support wildfire management: A Mediterranean landscape case study, Ecological Indicators, Volume 137, 2022, 108726, ISSN 1470-160X, https://doi.org/10.1016/j.ecolind.2022.108726.

50 – Lourenço, Miguel, Diogo Estima, Henrique Oliveira, Luís Oliveira, and André Mora. 2023. “Automatic Rural Road Centerline Detection and Extraction from Aerial Images for a Forest Fire Decision Support System” Remote Sensing 15, no. 1: 271. https://doi.org/10.3390/rs15010271

Conference Papers :

[1] J. Goes, B. Tardivel, J. de Melo and J. Marques, “A Temperature-Compensated Class-AB Parametric Residue Amplifier for SAR-Assisted Pipeline ADCs,” 2020 IEEE International Symposium on Circuits and Systems (ISCAS), Seville, Spain, 2020, pp. 1-5, https://doi.org/10.1109/ISCAS45731.2020.9180530

[2] D. Batista, L. B. Oliveira, Pedro Santos, “Characterization and Optimization of an Inductive DC-DC Converter for Ultra-Low Power Energy Harvesting”, International Young Engineers Forum (YEF-ECE), Costa da Caparica, pp. 77-82, 2019. https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8740825

[3] J.P. Matos-Carvalho, D. Pedro, L.M. Campos, J.M. Fonseca, A. Mora, Terrain Classification Using W-K Filter and 3D Navigation with Static Collision Avoidance, in: K.S. Bi Y., Bhatia R. (Ed.), Intell. Syst. Appl. IntelliSys 2019. Adv. Intell. Syst. Comput., Springer, Cham, 2019: pp. 1122–1137. https://doi.org/10.1007/978-3-030-29513-4_81.

[4] J.P. Matos-Carvalho, A. Mora, R.T. Rato, R. Mendonça, J.M. Fonseca, UAV Downwash-Based Terrain Classification Using Wiener-Khinchin and EMD Filters, in: IFIP Adv. Inf. Commun. Technol., 2019: pp. 83–90. https://doi.org/10.1007/978-3-030-17771-3_7.

[5] Garcia, C., Tavares, R. S., Mora, A. D., Fonseca, J., Oliveira, H., Oliveira, L. B. (2020). FPGA-based satellite image classification for water bodies detection. Proceedings – 2020 International Young Engineers Forum, YEF-ECE 2020. https://doi.org/10.1109/YEF-ECE49388.2020.9171811

[6] Pereira-Pires, J. E., Aubard, V., Silva, J. M. N., Ribeiro, R. A., Pereira, J. M. C., Fonseca, J. M., Campagnolo, M. L., Mora, A. (2020). Pixel-based and object-based change detection methods for assessing fuel break maintenance. Proceedings – 2020 International Young Engineers Forum, YEF-ECE 2020, 49–54. https://doi.org/10.1109/YEF-ECE49388.2020.9171818

[7] José Curva, Nuno Paulino, João Pedro Oliveira, Luís Oliveira, Henrique Oliveira and Miguel Lourenço, Infrared Fire Alarm for Vehicle Protection, YEF-ECE 2020. DOI: https://doi.org/10.1109/YEF-ECE49388.2020.9171813 .

[8] Madeira R., Paulino N. (2020) A Simple Analysis to Determine the Limits of a CMOS Technology to Implement SC DC- DC Converters. In: DoCEIS 2020., vol 577. Springer, Cham. https://doi.org/10.1007/978-3-030-45124-0_25

9 – Campilho-Gomes, M., Tavares, R., Goes, J., “Automatic Flat-Level Circuit Generation with Genetic Algorithms”, 11 th Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2020, IFIP Advances in Information and Communication Technology, Pages 101-108, Vol. 577, Costa de Caparica, Portugal, July 2020. https://doi.org/10.1007/978-3-030-45124-0_9

DGT:

10 – Hernandez, I.; Benevides, P.; Costa, H.; Caetano, M. Exploring Sentinel-2 for land cover and crop mapping in Portugal. Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. 2020, XLIII-B3-2, 83–89, https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-83-2020

11 -Costa, H.; Benevides, P.; Marcelino, F.; Caetano, M. Introducing automatic satellite image processing into land cover mapping by photo-interpretation of airborne data. ISPRS – Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. 2020, XLII–3/W11, 29–34, https://doi.org/10.5194/isprs-archives-XLII-3-W11-29-2020

12 – Costa, H.; Giraldo, A.; Caetano, M. Exploring BFAST to detect forest changes in Portugal. In Image and Signal Processing for Remote Sensing XXVI; Notarnicola, C., Bovenga, F., Bruzzone, L., Bovolo, F., Benediktsson, J. A., Santi, E., Pierdicca, N., Eds.; SPIE, 2020; Vol. 1153308, p. 6, https://doi.org/10.1117/12.2566669.

2021:

13 – J. Gerhardt, L. Oliveira and H. Oliveira, “A Reconfigurable Switched-Capacitor DC-DC Step-up Converter Integrated in 130 nm CMOS,” 2021 International Young Engineers Forum (YEF-ECE), Caparica / Lisboa, Portugal, 2021, pp. 58-62, https://doi.org/10.1109/YEF-ECE52297.2021.9505159

14 – M. Gameiro, L. Oliveira and H. Oliveira, “Analysis and Implementation of a Charge Pump DC-DC Converter,” 2021 International Young Engineers Forum (YEF-ECE), Caparica / Lisboa, Portugal, 2021, pp. 75-79. https://doi.org/10.1109/YEF-ECE52297.2021.9505056

15 – D. Batista, L. B. Oliveira and I. Filanovsky, “Design of Ultra Low Power CMOS Oscillators Using Active Inductors,” 2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS), Lansing, MI, USA, 2021, pp. 141-145. https://doi.org/10.1109/MWSCAS47672.2021.9531816

16 – F. Neves, J. P. Oliveira and H. Oliveira, “A sub-1V CMOS Instrumentation Amplifier for an AFE Interfacing with Sensors,” 2021 International Young Engineers Forum (YEF-ECE), Caparica / Lisboa, Portugal, 2021, pp. 1-6. https://doi.org/10.1109/YEF-ECE52297.2021.9505076

17 – J. E. Pereira-Pires, V. Aubard, R. A. Ribeiro, J. M. Fonseca, J. M. N. Silva and A. Mora, “Fuel Break Vegetation Monitoring with Sentinel-2 NDVI Robust to Phenology and Environmental Conditions,” 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, Brussels, Belgium, 2021, pp. 6264-6267. https://doi.org/10.1109/igarss47720.2021.9554943

18 – J. Pereira-Pires, et al, (2021). Assessment of Sentinel-2 Spectral Features to Estimate Forest Height with the New GEDI Data, DOCEIS 2021, Vol. 626, pp. 123–131. https://doi.org/10.1007/978-3-030-78288-7_12

19 – M. Vaqueiro, et al. Multi-image Super-Resolution Algorithm Supported on Sentinel-2 Satellite Images Geolocation Error. 2021 YEF-ECE, 50–57. https://doi.org/10.1109/yef-ece52297.2021.9505092

20 – N. Wadhwa, P. Bahubalindruni, A. Correia, J. Goes, S. Deb and P. Barquinha, “Mostly Passive Δ – Σ ADC with a-IGZO TFTs for Flexible Electronics,” 2021 IEEE International Symposium on Circuits and Systems (ISCAS), Daegu, Korea, 2021, pp. 1-6. DOI: 10.1109/ISCAS51556.2021.9401704.

21 – J. Xavier, P. Barquinha and J. Goes, “Design of a Ring-Amplifier Robust Against PVT Variations in Deep-Nanoscale FinFET CMOS,” 2021 XXXVI Conference on Design of Circuits and Integrated Systems (DCIS), Vila do Conde, Portugal, 2021, pp. 1-5. https://doi.org/10.1109/DCIS53048.2021.9666185

22 – A. Correia, V. G. Tavares, P. Barquinha and J. Goes, “Trade-offs and Limitations in Energy-Efficient Inverter-based CMOS Amplifiers,” 2021 XXXVI Conference on Design of Circuits and Integrated Systems (DCIS), Vila do Conde, Portugal, 2021, pp. 1-5. https://doi.org/10.1109/DCIS53048.2021.9666176

23 – F. Briquemont and A. Benali, “Soil Moisture and Live Fuel Moisture Content as key remote sensing variables to unlock improved wildfire predictions”, EGU General Assembly 2021, April 2021, https://doi.org/10.5194/egusphere-egu21-13648, 2021.

24 – Benevides, P.; Costa, H.; Moreira, F. D.; Moraes, D.; Caetano, M. Annual Crop Classification Experiments in Portugal Using Sentinel-2. In 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS; IEEE, 2021; pp. 5838–5841, https://doi.org/10.1109/IGARSS47720.2021.9555009.

25 – Costa, H.; Machado, I.; Moreira, F. D.; Benevides, P.; Moraes, D.; Caetano, M. Exploring the Potential of Sentinel-2 Data for Tree Crown Mapping in Oak Agro-Forestry Systems. In 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS; IEEE, Ed.; IEEE, 2021; pp. 5807–5810, https://doi.org/10.1109/IGARSS47720.2021.9553780.

26 – Moraes, D.; Benevides, P.; Costa, H.; Moreira, F. D.; Caetano, M. Influence of sample size in land cover classification accuracy using Random Forest and Sentinel-2 data in Portugal. Int. Geosci. Remote Sens. Symp. 2021, 4232–4235, https://doi.org/10.1109/IGARSS47720.2021.9553924.

27 – Moraes, D.; Benevides, P.; Moreira, F. D.; Costa, H.; Caetano, M. Exploring the use of classification uncertainty to improve classification accuracy. Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. 2021, XLIII–B3–2, 81–86, doi:10.5194/isprs-archives-XLIII-B3-2021-81-2021, https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-81-2021.

28 – Moraes, D.; Benevides, P. J.; Costa, H.; Moreira, F. D.; Caetano, M. Assessment of the introduction of spatial stratification and manual training in automatic supervised image classification. In Proceedings of SPIE – The International Society for Optical Engineering; 2021; p. 8, https://doi.org/10.1117/12.2599740.

29 – Benevides, P. J.; Silva, N.; Costa, H.; Moreira, F. D.; Moraes, D.; Castelli, M.; Caetano, M. Land cover mapping at national scale with Sentinel-2 and LUCAS: a case study in Portugal. In Remote Sensing for Agriculture, Ecosystems, and Hydrology XXIII; Neale, C. M., Maltese, A., Eds.; SPIE, 2021; Vol. 1185606, p. 5, https://doi.org/10.1117/12.2598789.

30 – Bruno A. Aparício , Ana C.L. Sá, Francisco C. Santos, Chiara Bruni, and José M.C. Pereira. “Combining wildfire behaviour simulations and complex network theory to support decision-making: A case-study in a Mediterranean region”, EGU General Assembly 2021. URL: https://www.egu21.eu/

31 – Albuquerque, E., Bugalho, R., Oliveira, L., Niknejad, T., Boletti, A., Varela, J. (2022). “A Full Current-Mode Timing Circuit with Dark Noise Suppression for the CERN CMS Experiment,” ESSCIRC 2022- IEEE 48th European Solid State Circuits Conference (ESSCIRC), 2022, pp. 177-180, https://doi.org/10.1109/ESSCIRC55480.2022.9911529

32 – D. Dias, J. Goes and T. Costa, “A Parasitic Resistance Extraction Tool Leveraged by Image Processing,” 2022 IEEE International Symposium on Circuits and Systems (ISCAS), Austin, TX, USA, 2022, pp. 1585-1589. https://doi.org/10.1109/ISCAS48785.2022.9937879

33 – Leonardo, D., Goes, J. “An Energy-Efficient Wideband Input-Buffer for High-Speed CMOS ADCs”, in: Technological Innovation for Digitalization and Virtualization. DoCEIS 2022. IFIP Advances in Information and Communication Technology, vol 649. Springer, 2022. https://doi.org/10.1007/978-3-031-07520-9_18

34 – Oliveira, J. P., Lourenço, M., Oliveira, L., Mora, A., & Oliveira, H. (2022). A Data Fusion of IoT Sensor Networks for Decision Support in Forest Fire Suppression. In L. Camarinha- Matos, L.M., Heijenk, G., Katkoori, S., Strous (Ed.), Internet of Things. Technology and Applications. IFIP IoT 2021 (pp. 96–108). doi: https://doi.org/10.1007/978-3-030-96466- 5_7

35 – Pedro, D., Rato, R.T., Matos-Carvalho, J.P., Fonseca, J.M., Mora, A. (2022). Flow Empirical Mode Decomposition. In: Arai, K. (eds) Intelligent Systems and Applications. IntelliSys 2021. Proceedings of SAI Intelligent Systems Conference, Lecture Notes in Networks and Systems, vol 296. Springer, Cham. https://doi.org/10.1007/978-3-030- 82199-9_14

36 – Pereira-Pires, J. E., Aubard, V., Baldassarre, G., Fonseca, J. M., Silva, J. M. N., & Mora, A. (2022). Fuel Break Monitoring with Sentinel-2 Imagery and GEDI Validation. In L. Camarinha-Matos, L.M., Heijenk, G., Katkoori, S., Strous (Ed.), IFIP Advances in Information and Communication Technology (pp. 67–85). IFIP IoT 2021 doi: https://doi.org/10.1007/978-3-030-96466-5_5

37 – Santos, J. J. M., Palma, S. I. C. J., Esteves, C., Gamboa, H., Oliveira J. P. and Roque, A. C. A. (2022). “An electrical model characterization of an electronic nose chemical sensor using a programmable system-on-a-chip based AFE,” 2022 International Young Engineers Forum (YEF-ECE), 2022, pp. 33-38, doi: 10.1109/YEF-ECE55092.2022.9850098.

38 – Costa, H.; Benevides, P.J.; Moreira, F.D.; Caetano, M.R. Detection and classification of changes in agriculture, forest, and shrublands for land cover map updating in Portugal. In Proceedings of the Remote Sensing for Agriculture, Ecosystems, and Hydrology XXIV; Neale, C.M., Maltese, A., Eds.; SPIE, 2022; p. 19. https://doi.org/10.1117/12.2636127

39 – Benevides, P.J.; Costa, H.; Moreira, F.D.; Caetano, M.R. Mapping annual crops in Portugal with Sentinel-2 data. In Proceedings of the Remote Sensing for Agriculture, Ecosystems, and Hydrology XXIV; Neale, C.M., Maltese, A., Eds.; SPIE, 2022; p. 20. https://doi.org/10.1117/12.2636125

40 – Moraes, D.; Benevides, P.; Costa, H.; Moreira, F.D.; Caetano, M. “Exploring Different Levels of Class Nomenclature in Random Forest Classification of Sentinel-2 Data”. In Proceedings of the IGARSS 2022 – 2022 IEEE International Geoscience and Remote Sensing Symposium; IEEE, 2022; Vol. 2018, pp. 2279–2282.

https://doi.org/10.1109/IGARSS46834.2022.9883798

41 – Sá, A. C. L., Aparicio, B., Benali, A., Bruni, C., Salis, M., Silva, F., Marta-Almeida, M., Pereira, S., Rocha, A., and Pereira, J.,”Wildfire hazard and landscape connectivity assessment in the Serra da Cabreira Mountain, Portugal”. 3rd International Conference on Fire Behavior and Risk, Alghero (Italy), 03-06 May 2022 (oral communication). https://www.icfbr2022.it/en/programme/

42 – Chiara Bruni, Bruno Aparício, Beatriz Lourenço, Martinho Marta-Almeida, Akli Benali, Susana Barreiro, Alfredo Rocha, Ana C.L. Sá, “Wildfire hazard and risk assessment in pulp paper industrial properties under extreme weather conditions: a case-study in North-Western Portugal”. 3rd International Conference on Fire Behavior and Risk, Alghero (Italy), 03-06 May 2022 (oral communication). https://www.icfbr2022.it/en/programme/

43 – A. Benali, Hugo Gonçalves, Nuno Guiomar, Carlos Mota, Bernardo Mota, Florian Briquemont , João Santos , Paulo Fernandes , Fábio Silva, José M.C. Pereira, Ana C.L. Sá. “The Portuguese large wildfire spread database: development and lessons learned”. 3rd International Conference on Fire Behavior and Risk, Alghero (Italy), 03-06 May 2022 (oral communication). https://www.icfbr2022.it/en/programme/

44 – A. Benali, Fàbio Silva, Alfredo Rocha, Susana C. Pereira, José M.C. Pereira, Ana C.L. Sá. “A near-real time operational stochastic fire spread simulator”. 3rd International Conference on Fire Behavior and Risk, Alghero (Italy), 03-06 May 2022 (oral communication). https://www.icfbr2022.it/en/programme/

Prototypes

1 – Multisensor-node: A prototype capable of monitoring the status of a vehicle unit carrying fire fighters, monitoring oxygen levels inside the vehicle, high levels of CO inside the vehicle.

2 – Infrared Fire Alarm for Vehicle Protection: Flames surrounding the vehicle can be detected and instantly communicated to the central unit.

3 – A portable device to classify fire front intensity using stereo video processing was designed and implemented. It uses a visible and a near-infrared camera and a microcontroller.

4 – FPGA-Based Satellite Image Classification for Water Bodies Detection

5 – Prototype for the Detection of vegetation changes with satellite image processing using GPU accelerators.

6 – Fire Spread Simulator.

7 – Fire spread database (2015-2021) with 80 uses-cases.

8 – Two prototypes of analog to digital converters for sensor Interfaces: 1) 10-V, 5-bit, 100-Hz CS-MCS Hybrid DAC SAR ADC with Oxide TFT Technology and 2) 0.8-V 10-bit 40-MS/s CS-MCS Hybrid DAC SAR ADC with 65-nm Bulk CMOS Technology.

9 – A Fully Integrated Power Management Unit with a Multi-ratio and Multi-cell Switched-Capacitor DC-DC Converter in 130nm CMOS technology.

10 – Prototype for fuel break maintenance Monitoring.

Dissemination activities :

National Communications and public actions for dissemination of the results:

1 – Luis Oliveira, project foRESTER in FCT session “Incêndios Rurais: Melhor gestão baseada em evidência científica”, IPMA 27th November 2019

2 – Luis Oliveira, André Mora, “foRESTER” – 1^st Workshop on Scientific Research and Technological Development Projects was carried out within the scope of the Forest Fire Prevention and Fighting, financed by the Foundation for Science and Technology (FCT) under the scope of the competitions for IC&DT projects carried out in the year of 2017. University of Coimbra 14^th February 2020.

3 – A.C.L. Sá, “Near-Real Time Fire Spread Modelling: lessons learned with the 2019 fire season”, 1^st Workshop on Scientific Research and Technological Development Projects was carried out within the scope of the Forest Fire Prevention and Fighting, financed by the Foundation for Science and Technology (FCT) under the scope of the competitions for IC&DT projects carried out in the year of 2017. University of Coimbra 14^th February 2020. Universidade de Coimbra. URL: https://adai.pt/firestorm/pt/1o-workshop-de-projetos-de-investigacao-no-dominio-dos-incendios-florestais/

4 – (ISA) Ana Sá: Presentation of the results of the 2019 fire season to the National Emergency and Civil Protection Command, and to the various District Commanders, at Santarém District Operations Command, December 11^th.

5 – Miguel Lourenço, Luis Oliveira, “Sistema de Apoio a Decisão para o combate a incêndios rurais” 17º Encontro de Utilizadores ESRI Portugal, 20th October 2020, online event. https://www.youtube.com/watch?v=K2n2R50fiKE

6 – André Mora, Luís Oliveira, José Barata, José M. Fonseca Cyber-physical systems for wildfire management operations, Encontro Ciencia 2020, 3 e 4 de Novembro 2020 https://www.encontrociencia.pt/

7 – Caetano, M. e Costa, H., 2021. “foRESTER: Data fusion of sensor networks and fire spread modelling for decision support in forest fire suppression”, 2º Workshop Projetos ICDT no âmbito da Prevenção e Combate a Incêndios Florestais, 30 de April 2021.

8 – Luis Oliveira and André Mora, Organization of the special session: “Cyber-physical IoT systems in Wildfire Context” at the conference 4th IFIP International Internet of Things (IoT) Conference, 4^th and 5^th November 2021.

9 – Special Issues in International Journals ():

– Fernando Bação, Spatial Data Science” ISPRS International Journal of Geo-Information (ISSN 2220-9964).

https://www.mdpi.com/journal/ijgi/special_issues/Spatial_Data_Science;

– Fernando Bação, Machine Learning Techniques Applied to Geosciences and Remote Sensing” Remote Sensing (ISSN 2072-4292).

https://www.mdpi.com/journal/remotesensing/special_issues/geosciences_information);

– Fernando Bação, Remote Sensing and Spatial Data Science” Information (ISSN 2078-2489)

https://www.mdpi.com/journal/information/special_issues/remote_sensing_spatial

– André Mora, José Fonseca, Information Retrieval from Remote Sensing Images, Remote Sensing (ISSN 2072-4292)

https://www.mdpi.com/journal/remotesensing/special_issues/Information_Retrieval

10 – 4 presentations given by Luis Oliveira, Mario Caetano, Ana Sá and André Mora, at final Workshop project foRESTER 11 November 2022, at Mação Municipality.

11 – Miguel Lourenço, presentation of project foRESTER in Workshop of project FireLoc, Coimbra 27^th of February 2023.

12 – Luis Oliveira, André Mora, and Ana Sá – Forestwise Co-Lab, several presentations (20-07-2022, 12-09-2022, and Focus Group participation 07-03-2023).

In the Focus group the results of Project foRESTER were presented and discussed with potential end-users:

AGIF, I.P. | Agência para a Gestão Integrada de Fogos Rurais
CRGIFR | Comissões Regionais para a Gestão Integrada de Fogos Rurais
ICNF, I.P. | Instituto da Conservação da Natureza e das Florestas
DGT | Direção-Geral do Território
ANEPC | Autoridade Nacional de Emergência e Proteção Civil
ENB | Escola Nacional de Bombeiros
GNR | Guarda Nacional Republicana
Forestis | Associação Florestal de Portugal
Fórum Florestal | Estrutura Federativa da Floresta Portuguesa
BALADI | Federação Nacional dos Baldios

Organization of Seminars and Conferences:

1 – José Fonseca, André Mora, João Pereira-Pires, Remote Sensing, CTS-UNINOVA Seminars, 31 march 2021
https://cts.uninova.pt/events.html

2 – Seminar: MACFire – A Decision Support System for fire suppression given by Eng. António Louro. (26-03-2019)
https://events.vtools.ieee.org/m/218956

3 – Seminar: mFORESTER – Wildfire Mobile System for Data Management and Communication given by MSc Miguel Lourenço (17-06-2019)
https://events.vtools.ieee.org/m/218957

4 – Seminar: Infrared Fire Alarm for Vehicle Protection given by MSc José Curva (31-10-2019)
https://events.vtools.ieee.org/m/218958

5 – Seminar: Sistema de Apoio a Decisão para o combate a incêndios rurais given by Miguel Lourenço (20 – 10 – 2020)
https://events.vtools.ieee.org/m/253172

6 – Seminar: Breaks for Additive Seasonal and Trend (BFAST) algorithm applied to support the detection of changes in Portuguese forests given by Carolina Oliveira (25-06-2021)
https://events.vtools.ieee.org/m/296264

7 – Final Workshop of project forester 18-11-2022
https://forester.pt/web/wp-content/uploads/2022/11/Forester_Diptico.pdf

8 – IEEE Conference: IEEE ESSDERC/ESSCIRC 2023, Lisbon September 11-14 2023

ESSDERC- 53rd European Solid-State Device Research Conference

ESSCIRC – 49th European Solid-State Circuits Conference

The aim of ESSCIRC and ESSDERC is to provide an annual European forum for the presentation and discussion of recent advances in solid-state devices and circuits.

https://www.esscirc-essderc2023.org

BOOKS

Madeira, R., Oliveira, J. P., Paulino, N. (2022), Fully Integrated Switched-Capacitor PMU for IoT Nodes Analysis and Design, Publisher Springer Cham, ISBN: 978-3-031-14701-2, https://doi.org/10.1007/978-3-031-14701-2

Serra, H., Santos-Tavares, R., Paulino, N. (2022), “Optimization Methodologies for the Automatic Design of Switched-Capacitor Filter Circuits for IoT Applications”, Synthesis Lectures on Engineering, Science, and Technology, Springer, ISBN/eISBN: 978-3-031-04183-9/978-3-031-04184-6, https://doi.org/10.1007/978-3-031-04184-6, 2022.