| Object detection using convolutional neural networks RL Galvez, AA Bandala, EP Dadios, RRP Vicerra, JMZ Maningo TENCON 2018-2018 IEEE Region 10 Conference, 2023-2027, 2018 | 225 | 2018 |
| Automated image capturing system for deep learning-based tomato plant leaf disease detection and recognition RG De Luna, EP Dadios, AA Bandala TENCON 2018-2018 IEEE Region 10 Conference, 1414-1419, 2018 | 167 | 2018 |
| Common garbage classification using mobilenet SL Rabano, MK Cabatuan, E Sybingco, EP Dadios, EJ Calilung 2018 IEEE 10th International Conference on Humanoid, Nanotechnology …, 2018 | 144 | 2018 |
| Low cost smart security camera with night vision capability using Raspberry Pi and OpenCV WF Abaya, J Basa, M Sy, AC Abad, EP Dadios 2014 International conference on humanoid, nanotechnology, information …, 2014 | 125 | 2014 |
| Path planning for mobile robots using genetic algorithm and probabilistic roadmap RMC Santiago, AL De Ocampo, AT Ubando, AA Bandala, EP Dadios 2017IEEE 9th international conference on humanoid, nanotechnology …, 2017 | 72 | 2017 |
| Fuzzy logic: controls, concepts, theories and applications E Dadios BoD–Books on Demand, 2012 | 64 | 2012 |
| Swarming algorithm for unmanned aerial vehicle (uav) quadrotors–swarm behavior for aggregation, foraging, formation, and tracking– AA Bandala, EP Dadios, RRP Vicerra, LAG Lim Journal of Advanced Computational Intelligence and Intelligent Informatics …, 2014 | 63 | 2014 |
| Water usage optimization of Smart Farm Automated Irrigation System using artificial neural network JR Dela Cruz, RG Baldovino, AA Bandala, EP Dadios 2017 5th International Conference on Information and Communication …, 2017 | 55 | 2017 |
| Determination of soil nutrients and pH level using image processing and artificial neural network JC Puno, E Sybingco, E Dadios, I Valenzuela, J Cuello 2017IEEE 9th International Conference on Humanoid, Nanotechnology …, 2017 | 54 | 2017 |
| Preparing the Philippines for the fourth industrial revolution: A scoping study EP Dadios, AB Culaba, JRG Albert, VB Paqueo, AC Orbeta, RB Serafica, ... PIDS Discussion Paper Series, 2018 | 53 | 2018 |
| A kNN-based approach for the machine vision of character recognition of license plate numbers ARF Quiros, RA Bedruz, AC Uy, A Abad, A Bandala, EP Dadios, ... Tencon 2017-2017 ieee region 10 conference, 1081-1086, 2017 | 51 | 2017 |
| Object recognition and detection by shape and color pattern recognition utilizing Artificial Neural Networks JPN Cruz, ML Dimaala, LGL Francisco, EJS Franco, AA Bandala, ... 2013 International Conference of Information and Communication Technology …, 2013 | 49 | 2013 |
| Smart farm using wireless sensor network for data acquisition and power control distribution FB Culibrina, EP Dadios 2015 International Conference on Humanoid, Nanotechnology, Information …, 2015 | 42 | 2015 |
| Path planning for quadrotor UAV using genetic algorithm RL Galvez, EP Dadios, AA Bandala 2014 International Conference on Humanoid, Nanotechnology, Information …, 2014 | 42 | 2014 |
| A comparative analysis of machine learning algorithms modeled from machine vision-based lettuce growth stage classification in smart aquaponics SC Lauguico, RS Concepcion, JD Alejandrino, RR Tobias, DD Macasaet, ... Int. J. Environ. Sci. Dev 11 (9), 442-449, 2020 | 41 | 2020 |
| Genetic algorithm on line controller for the flexible inverted pendulum problem EP Dadios, PS Fern, DJ Williams Journal of Advanced Computational Intelligence and Intelligent Informatics …, 2006 | 41 | 2006 |
| Application of fuzzy logic in recognition of tomato fruit maturity in smart farming JBU Dimatira, EP Dadios, F Culibrina, JA Magsumbol, JD Cruz, ... 2016 IEEE Region 10 Conference (TENCON), 2031-2035, 2016 | 40 | 2016 |
| Fuzzy logic: algorithms, techniques and implementations E Dadios BoD–Books on Demand, 2012 | 39 | 2012 |
| Cooperative mobile robots with obstacle and collision avoidance using fuzzy logic EP Dadios, OA Maravillas Proceedings of the IEEE Internatinal Symposium on Intelligent Control, 75-80, 2002 | 39 | 2002 |
| Tomato growth stage monitoring for smart farm using deep transfer learning with machine learning-based maturity grading RG de Luna, EP Dadios, AA Bandala, RRP Vicerra AGRIVITA Journal of Agricultural Science 42 (1), 24-36, 2020 | 38 | 2020 |
