Results 81 to 90 of about 6,685 (188)

YOLOv8-Coal: a coal-rock image recognition method based on improved YOLOv8

PeerJ Computer Science
To address issues such as misdetection and omission due to low light, image defocus, and worker occlusion in coal-rock image recognition, a new method called YOLOv8-Coal, based on YOLOv8, is introduced to enhance recognition accuracy and processing speed.
Wenyu Wang, Yanqin Zhao, Zhi Xue
openaire   +3 more sources

Prioritized Real‐Time UAV‐Based Vessel Detection for Efficient Maritime Search

Journal of Field Robotics, Volume 43, Issue 2, Page 561-577, March 2026.
ABSTRACT Real‐time vessel detection in maritime environments is crucial for diverse applications requiring speed and accuracy. Static camera views often introduce blind spots, compromising detection efficiency. This paper proposes a novel, real‐time UAV‐based system that uses a dynamic camera control strategy to address this limitation.
Lyes Saad Saoud, Zikai Jia, Siyuan Yang, Muhayy Ud Din, Lakmal Seneviratne, Shaoming He, Irfan Hussain   +6 more
wiley   +1 more source

Basket pose estimation method based on monocular vision and improved YOLOv8-pose model

Huanan Nongye Daxue xuebao
ObjectiveCurrently, the handling operation of vegetable baskets after harvesting in protected greenhouses is still dominated by manual labor, which has problems such as low efficiency and high labor intensity, seriously restricting the large-scale and ...
Lin CHEN, Zhen XU, Chunyan ZHANG, Xiaosheng JI, Songsong CHENG, Jiajun HUANG   +5 more
doaj   +1 more source

Development of a Grasshopper‐Leg‐Inspired Back‐Type Exoskeleton for the Reduction of Muscle Activation During Stoop Activities

Journal of Field Robotics, Volume 43, Issue 2, Page 739-760, March 2026.
ABSTRACT Farmers frequently suffer from musculoskeletal disorders, particularly lower back pain (LBP), mainly due to occupational ergonomic factors such as repetitive stooping and lifting. This study proposes using an exoskeleton to reduce LBP risk by providing external torque to the hip joints.
Dang Khanh Linh Le, Wei Chih Lin
wiley   +1 more source

INTELLIGENT HUMAN RESCUE ROBOT: AN AI-DRIVEN APPROACH WITH FPGA TECHNOLOGY

Mağallaẗ Al-kūfaẗ Al-handasiyyaẗ
This study introduces an innovative AI-driven robotic system designed to enhance search and rescue operations in disaster-stricken areas, including earthquakes, floods, and conflict zones.
Salam Al-Khammasi, Hasanain Ali Hussein, Ebtesam Najim AlShemmary, Ammar Karkar   +3 more
doaj   +1 more source

YOLOv8-UCB: Visual Detection of Pouch Battery Using Improved YOLOv8

IEEE Access
The aluminum laminate pouch of pouch batteries is highly prone to deformation, which can cause various surface defects, thereby affecting their service life and potentially posing safety hazards. To address this problem, we propose an algorithm named YOLOv8-UCB for detecting surface defects in pouch batteries, which is based on the YOLOv8 model. First,
Hao Hao, Xiang Yu
openaire   +2 more sources

Smart Waste, Smarter World: Exploring Waste Types, Trends, and Tech‐Driven Valorization Through Artificial Intelligence, Internet of Things, and Blockchain

Sustainable Development, Volume 34, Issue S2, Page 132-153, March 2026.
ABSTRACT Global municipal solid waste generation is projected to exceed 3.8 billion tonnes annually by 2050. This makes the need for smart, inclusive, and scalable waste valorization systems more urgent than ever. This review critically explores the shift from conventional waste management to intelligent, technology‐driven solutions aligned with ...
Segun E. Ibitoye, Amit K. Ball, Raul V. Rodriguez, Olalekan A. Olayemi, Peplluis Esteva, Peter O. Omoniyi, Isaac K. Adegun, Rasheedat M. Mahamood, Esther T. Akinlabi   +8 more
wiley   +1 more source

Improving YoloPX using YoloP and Yolov8 for Panoptic Driving Perception

JOIV: International Journal on Informatics Visualization
Autonomous driving technology (ADS) has seen significant advancements over the past decade, with car manufacturers investing heavily in its development to meet the growing demand for safer, more efficient, and eco-friendly transportation solutions.
Xie Yumeng, Noridayu Binti Manshor, Nor Azura Husin, Liu Chengzhi   +3 more
doaj   +1 more source

YOLOv8-E: An Improved YOLOv8 Algorithm for Eggplant Disease Detection

Applied Sciences
During the developmental stages, eggplants are susceptible to diseases, which can impact crop yields and farmers’ economic returns. Therefore, timely and effective detection of eggplant diseases is crucial. Deep learning-based object detection algorithms can automatically extract features from images of eggplants affected by diseases. However, eggplant
Yuxi Huang, Hong Zhao, Jie Wang
openaire   +2 more sources

Step‐Ladder Bioprinting to Align Collagen Fibers for Anisotropic Tissue Fabrication

Small, Volume 22, Issue 13, 3 March 2026.
The step‐ladder printing platform includes successive segments of channels with varying widths in a custom barrel design. This design allows for improved anisotropy of collagen fibers during extrusion. To demonstrate its effectiveness, corneal constructs with high transparency and shape fidelity, as well as articular cartilage constructs, displaying ...
Ilayda Namli, Yogendra Pratap Singh, Deepak Gupta, Syed Hasan Askari Rizvi, Yasar Ozer Yilmaz, Joao Vitor Silva Robazzi, Medine Dogan Sarikaya, Mehmet Baykara, Ibrahim T. Ozbolat   +8 more
wiley   +1 more source