Results 91 to 100 of about 6,685 (188)

Unmanned aerial vehicle classification and detection system based on deep learning, internet of military things, and PID control system

International Journal of Applied Mathematics, Sciences, and Technology for National Defense
Indonesia is an archipelagic country situated between two continents and two oceans. With numerous islands, it is rich in natural resources but faces various military and non-military threats.
Azka Versantariqh Lesmana, Iqbal Ahmad Dahlan, Hendrana Tjahjadi, Setya Widyawan Prakosa, Muhammad Azka Firdaus   +4 more
doaj   +1 more source

AI‐Driven Deep Learning Framework for Detecting Subtle Surface Defects on Wind Turbine Blades

Wind Energy, Volume 29, Issue 3, March 2026.
ABSTRACT Wind turbine blade surface defect detection is of great significance in ensuring the safety and operational efficiency of wind power systems. However, accurately detecting subtle and small‐scale defects remains challenging under complex imaging conditions.
Shoutu Li, Jiawei Pan, Ling Liu, Jin Zhao, Nianxi Yue, Zhen Wu   +5 more
wiley   +1 more source

Optimizing YOLOv8 for Enhanced Melon Maturity Detection with Attention Mechanisms: A Case Study from Puspalebo Orchard

JOIV: International Journal on Informatics Visualization
Enhancing fruit maturity detection is crucial in the agricultural industry to ensure product quality and reduce post-harvest losses. However, commonly used maturity detection methods still rely on human visual inspection, which is prone to errors and ...
Ubaidillah Umar, Tri Arief Sardjono, Hendra Kusuma, Mohamad Yani, Helmy Widyantara   +4 more
doaj   +1 more source

A general method for detection and segmentation of terrestrial arthropods in images

Methods in Ecology and Evolution, Volume 17, Issue 3, Page 727-739, March 2026.
Abstract Automated monitoring of insects and other arthropods is vital for ecological research and conservation; yet current image recognition tools often lack generalizability across diverse imaging conditions and struggle with varying specimen sizes. This limits their practical utility and wide adoption by ecologists.
Asger Svenning, Guillaume Mougeot, Jamie Alison, Daphne Chevalier, Nisa Chavez Molina, Song‐Quan Ong, Kim Bjerge, Juli Carrillo, Toke Thomas Høye, Quentin Geissmann   +9 more
wiley   +1 more source

Prototipo de Sistema de Monitoreo Inteligente para la detección en Tiempo Real de Objetos y Actividades Sospechosas Utilizando Deep Learning

Informática y Sistemas
Esta investigación trata sobre la necesidad de optimizar los sistemas de videovigilancia a través del uso de inteligencia artificial para detectar proactivamente amenazas.
Lauro Alfonso Erreyes Cuenca, Nahin Josue Olmedo Chica, Mariuxi Paola Zea Ordóñez, Nancy Magaly Loja Mora   +3 more
doaj   +1 more source

Evaluating Open‐Source Solutions for Computerized Inference of Infant Facial Affect

Developmental Science, Volume 29, Issue 2, March 2026.
ABSTRACT Infant affect is often expressed through facial expressions, making this modality a key source of insight into the child's well‐being and social functioning. Computational inference of infant affect could critically assist both researchers and clinicians working with infant development and mitigate the need for manual coding.
Martin Lund Trinhammer, Ida Egmose, Marianne Thode Krogh, Anne Christine Stuart, Mette Skovgaard Væver, Sami Sebastian Brandt, Stella Graßhof   +6 more
wiley   +1 more source

Edge-Accelerated Real-Time Egg Recognition Using YOLOv8

Proceedings of the International Conference on Applied Innovations in IT
Mechanised egg collection systems require vision models that are both accurate and light enough to run on embedded hardware. We built and evaluated an end to end pipeline that couples YOLOv8 object detection variants with Google’s Coral Edge TPU for real
Wesam Basil Abdulhameed, Zaidoon Tareq Abdulwahab   +1 more
doaj   +1 more source

GFI-YOLOv8: Sika Deer Posture Recognition Target Detection Method Based on YOLOv8

Animals
As the sika deer breeding industry flourishes on a large scale, accurately assessing the health of these animals is of paramount importance. Implementing posture recognition through target detection serves as a vital method for monitoring the well-being of sika deer.
He Gong, Jingyi Liu, Zhipeng Li, Hang Zhu, Lan Luo, Haoxu Li, Tianli Hu, Ying Guo, Ye Mu   +8 more
openaire   +3 more sources

Design, Training, and Field Validation of a YOLOv8‐Based Automated Trap for Remote Detection of Codling Moth, Cydia pomonella

Entomologia Experimentalis et Applicata, Volume 174, Issue 3, Page 212-224, March 2026.
We developed and field‐validated a fully automated trap for Cydia pomonella monitoring, combining a camera with a YOLOv8 object‐detection model for remote insect identification. In controlled laboratory validation, the model showed strong performance (precision 0.77, recall 0.83), with moderate reductions under field conditions. Across six experiments,
Veronica Carnio, Michele Preti, Riccardo Favaro, Orneda Lecini, Giovanni Giannotta, Sergio Angeli   +5 more
wiley   +1 more source

SD-YOLOv8: An Accurate Seriola dumerili Detection Model Based on Improved YOLOv8

Sensors
Accurate identification of Seriola dumerili (SD) offers crucial technical support for aquaculture practices and behavioral research of this species. However, the task of discerning S. dumerili from complex underwater settings, fluctuating light conditions, and schools of fish presents a challenge.
Mingxin Liu, Ruixin Li, Mingxin Hou, Chun Zhang, Jiming Hu, Yujie Wu   +5 more
openaire   +3 more sources