Results 61 to 70 of about 5,295 (214)

A joint algorithm of multi-target detection and tracking for underground miners

Gong-kuang zidonghua, 2022
The existing multi-target tracking algorithms for underground miners has the problems of slow detection speed and low recognition precision. In order to solve the above problems, a joint algorithm of multi-target detection and tracking algorithm based on
ZHOU Mengran, LI Xuesong, ZHU Ziwei, HUANG Kaiwen   +3 more
doaj   +1 more source

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

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

SuperYOLO: Super Resolution Assisted Object Detection in Multimodal Remote Sensing Imagery

, 2023
Accurately and timely detecting multiscale small objects that contain tens of pixels from remote sensing images (RSI) remains challenging. Most of the existing solutions primarily design complex deep neural networks to learn strong feature ...
Du, Qian, Fang, Zhenman, Lei, Jie, Li, Yunsong, Xie, Weiying, Zhang, Jiaqing   +5 more
core   +1 more source

Research on coal gangue recognition method based on CED-YOLOv5s model

Gong-kuang zidonghua
Due to the complex working conditions of high noise, low illumination, and blurred movement in coal mines underground, as well as the phenomenon of coal gangue easily gathering, it is difficult to extract features from coal gangue object detection models.
HE Kai, CHENG Gang, WANG Xi, GE Qingnan, ZHANG Hui, ZHAO Dongyang   +5 more
doaj   +1 more source

Improvement of Lightweight Convolutional Neural Network Model Based on YOLO Algorithm and Its Research in Pavement Defect Detection

Sensors, 2022
To ensure the safe operation of highway traffic lines, given the imperfect feature extraction of existing road pit defect detection models and the practicability of detection equipment, this paper proposes a lightweight target detection algorithm with ...
Fu-Jun Du, Shuang-Jian Jiao
doaj   +1 more source

IGZO‐Based First Spike Timing Tactile Encoders and Coupling‐Enhanced Transistor Synapses for Efficient Spiking Neural Networks

Advanced Science, Volume 13, Issue 7, 3 February 2026.
Here, a bioinspired light‐accelerated neuromorphic system that seamlessly links tactile sensing, first‐spike‐timing (FST) encoding, and light–electric synaptic learning. Pressure stimuli trigger FST spikes in dual‐gate PDTFTs, while GaOx/IGZO hetero‐synapses exhibit enhanced memory under optical–electrical co‐activation, enabling spiking neural ...
Dan Cai, Jinyong Wang, Tianchen Zhao, Miao Shen, Yunbo Liu, Tieyi Zhang, Fangjie Zhang, Yang Wang, Yadong Jiang, Deen Gu   +9 more
wiley   +1 more source

Image recognition method of coal gangue in complex working conditions based on CES-YOLO algorithm

Meitan kexue jishu
Aiming at the complex working conditions environmental factors such as high noise, low illumination, motion blur and mass gangue mixing in coal mines, which lead to the problems of misdetection, omission and low detection accuracy in gangue recognition ...
Deyong LI, Guofa WANG, Yongcun GUO, Shuang WANG, Yuhao YANG   +4 more
doaj   +1 more source

Underwater Sea Cucumber Identification Based on Improved YOLOv5

Applied Sciences, 2022
In order to develop an underwater sea cucumber collecting robot, it is necessary to use the machine vision method to realize sea cucumber recognition and location.
Xianyi Zhai, Honglei Wei, Yuyang He, Yetong Shang, Chenghao Liu   +4 more
doaj   +1 more source

YOLOv5-ASFF: A Multistage Strawberry Detection Algorithm Based on Improved YOLOv5

Agronomy, 2023
The smart farm is currently a hot topic in the agricultural industry. Due to the complex field environment, the intelligent monitoring model applicable to this environment requires high hardware performance, and there are difficulties in realizing real-time detection of ripe strawberries on a small automatic picking robot, etc. This research proposes a
Yaodi Li, Jianxin Xue, Mingyue Zhang, Junyi Yin, Yang Liu, Xindan Qiao, Decong Zheng, Zezhen Li   +7 more
openaire   +2 more sources