Results 71 to 80 of about 12,664 (249)

Efficient Few‐Shot Learning in Remote Sensing: Fusing Vision and Vision‐Language Models

Applied AI Letters, Volume 7, Issue 1, February 2026.
ABSTRACT Remote sensing has become a vital tool across sectors such as urban planning, environmental monitoring, and disaster response. Although the volume of data generated has increased significantly, traditional vision models are often constrained by the requirement for extensive domain‐specific labelled data and their limited ability to understand ...
Jia Yun Chua, Argyrios Zolotas, Miguel Arana‐Catania   +2 more
wiley   +1 more source

Enhanced fire hazard detection in solar power plants: an integrated UAV, AI, and SCADA-based approach

Радіоелектронні і комп'ютерні системи
The Subject of this research is the development of an intelligent, integrated system for the early detection and causal analysis of fire hazards in large-scale solar power plants (SPPs).
Andrii Lysyi, Anatoliy Sachenko, Pavlo Radiuk, Mykola Lysyi, Oleksandr Melnychenko, Oleksii Ishchuk, Oleg Savenko   +6 more
doaj   +1 more source

Improved YOLOv5 for Efficient Elimination of Unwanted Video Frames From High‐Speed Video Arrays Capturing Bat's Kinematics

Applied AI Letters, Volume 7, Issue 1, February 2026.
Deep learning pipeline developed to filter high‐speed bat flight recordings captured inside a custom flight tunnel. ABSTRACT This research aims to investigate the flying kinematics of bats, drawing inspiration from nature to benefit humans in achieving vision‐independent flights. The project uses 50 cameras mounted inside a specially designed tunnel to
D. P. Jayathunga, M. Ramashini, Juliana Zaini, R. Müller, Liyanage C. De Silva   +4 more
wiley   +1 more source

Application of YOLOv8 Architecture Optimized based on BiFPN in Leather Defect Recognition

Pige Kexue Yu Gongcheng
Traditional image processing methods are difficult to effectively deal with complex backgrounds and defects with different scales. This paper proposed a YOLOv8 architecture optimization strategy that integrates Bidirectional Feature Pyramid Network ...
Hao TANG, Faming CHEN, Zhipeng FENG, Lingzhi HE   +3 more
doaj   +1 more source

Automated Chess Gameplay With Computer Vision and A Robotic Arm

Engineering Reports, Volume 8, Issue 2, February 2026.
This work demonstrates an autonomous chess‐playing robot integrating deep learning vision, Stockfish engine, and robotic arm with real‐world design recommendations. ABSTRACT This paper presents a fully automated chess‐playing system that integrates computer vision, artificial intelligence, and robotics to enable autonomous gameplay.
Mohammad AlKhatib, Fahed Jubair, Mohammad Al Mashagbeh, Moath Khaleel, Samah Rahamneh   +4 more
wiley   +1 more source

An Improved Small Target Detection Algorithm Based on YOLOv8s [PDF]

Radioengineering
Due to challenges such as the small size of targets, complex backgrounds, limited feature extraction capa-bilities, and frequent false positives and false negatives, traditional detection algorithms often perform poorly in small object detection tasks ...
G. Ma, C. Xu, Z. Xu, X. Song
doaj  

Federated Learning and Blockchain-Based Collaborative Framework for Real-Time Wild Life Monitoring

Cybernetics and Information Technologies
Effective wildlife monitoring in hilly and rural areas can protect communities and diminish human-wildlife conflicts. A collaborative framework may overcome challenges like inadequate data integrity and security, declining detection accuracy over time ...
Jagannathan Preetha, Saravanan Kalaivanan, Deepajothi Subramaniyam, Vadivel Sharmila   +3 more
doaj   +1 more source

Shrimp Diseases Detection Method Based on Improved YOLOv8 and Multiple Features

智慧农业
ObjectiveIn recent years, there has been a steady increase in the occurrence and fatality rates of shrimp diseases, causing substantial impacts in shrimp aquaculture.
XU Ruifeng, WANG Yaohua, DING Wenyong, YU Junqi, YAN Maocang, CHEN Chen   +5 more
doaj   +1 more source

Optimized Time–Frequency Analysis for Induction Motor Fault Detection Using Hybrid Differential Evolution and Deep Learning Techniques

International Journal of Adaptive Control and Signal Processing, Volume 40, Issue 1, Page 2-26, January 2026.
Workflow of the parameter optimization process for ITSC fault detection, applying Differential Evolution optimization and the Smooth Pseudo Wigner‐Ville Distribution for signal processing. The optimized parameters are then used in the failure identification pipeline, which combines the signal processing with a YOLO‐based architecture for fault severity
Rafael Martini Silva, Avyner Lorran de Oliveira Vitor, Marcelo Favoretto Castoldi, Alessandro Goedtel, Wesley Angelino Souza   +4 more
wiley   +1 more source

QL-YOLOv8s: Precisely Optimized Lightweight YOLOv8 Pavement Disease Detection Model

IEEE Access
Detecting road surface defects is essential for highway maintenance, yet the application of most models is hindered by the limitations of existing detection resources. To address this challenge, we have enhanced YOLOv8, introducing a lightweight detection model dubbed QL-YOLOv8s.
Guo Jinbo, Wang Shenghuai, Chen Xiaohui, Wang Chen, Zhang Wei   +4 more
openaire   +2 more sources