Naršyti 2024 International Conference "Electrical, Electronic and Information Sciences“ (eStream) pagal temą "Convolutional neural network"
Dabar rodomi įrašai 1-4 iš 4
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Identification of Tomato Leaf Disease using YOLOv8 Detection Models on GPU and Raspberry Pi
(2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania, 2024)The paper explores the automated identification of tomato leaf diseases using YOLOv8 detection models on both GPU and Raspberry Pi hardware. Through convolutional neural networks (CNNs) and transfer learning techniques, ... -
Person Detection in Thermal Images: A Comparative Analysis of YOLOv8 and YOLOv9 Models
(2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania, 2024)Person detection in thermal imagery is crucial for surveillance and monitoring applications. We assess the performance of YOLOv8 and YOLOv9 models using a new thermal image dataset. Our study reveals that both models achieve ... -
Predicting Time Complexity of TensorFlow Lite Models
(2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania, 2024)The Internet of Things (IoT) revolutionizes global communication and data exchange, while edge computing optimizes data transmission and enhances security, adaptability, and cost-effectiveness. However, integrating computer ... -
Towards Human Activity Recognition in Smart Environments through Thermal Imaging
(2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania, 2024)This paper presents the results of keypoint detection achieved through training YOLOv8 pose models on a thermal person dataset, aiming towards human activity recognition in smart environments. The YOLOv8 pose models, ranging ...
