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Patentai / Patents [190]
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A Comparative Study of Bird Species Classification Using K-Nearest Neighbors, Convolutional Neural Networks, and Support Vector Machines
(2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)Bird species classification is crucial for ecological monitoring and biodiversity conservation, providing valuable insights into ecosystem health. This study aims to compare the performance of three machine learning ... -
iBon: A Web Application for Aerial Fauna Identification and Counting Using Machine Learning
(2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)Abstract: With the alarming decline in aerial fauna populations worldwide, the need for timely and accurate tools to monitor species trends and support conservation strategies has become critical. This paper aims to develop ... -
YOLOv8-Based Transfer Learning for Mangrove Species Classification Using Leaf Images
(2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)Reliable classification of mangrove species is essential for conservation efforts, ecological research, and effective biodiversity monitoring. Traditional identification methods, which depend on human observation, are ... -
Fire Classification and Detection Using a CNN-YOLO Hybrid Model for Early Warning Systems
(2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)Fire detection is essential for preventing and mitigating disaster impacts, requiring rapid and accurate identification to minimize damage and loss of life. Conventional fire detection systems based on sensors often lead ...
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