Results 71 to 80 of about 5,394 (229)

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

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

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

DETEKSI RUPIAH EMISI 2022 UNTUK DISABILITAS NETRA MENGGUNAKAN YOLOV5M DENGAN OUTPUT SUARA [PDF]

People with visual disabilities have difficulty recognizing rupiah denominations using blind codes due to differences in paper size for each denomination, wrinkled paper, and variations in blind codes for different emission years..
Abdillah, Mokhammad Nurkholis, Fatkhurrozi, Bagus, Mahfuzh, Muhammad Farhan   +2 more
core   +2 more sources

เครื่องจ่ายยาอัตโนมัติเเละตรวจสอบความถูกต้องด้วยโมเดล YOLOv5

Journal of Computer and Creative Technology
วารสารคอมพิวเตอร์และเทคโนโลยีสร้างสรรค์, 2, 2, 45 ...
openaire   +2 more sources

Label‐Free Holographic Imaging Flow Cytometry With Deep‐Learning‐Based Detection and Classification of Thousands of Cells Per Second

Cytometry Part A, Volume 109, Issue 2, Page 89-97, February 2026.
ABSTRACT We present a new end‐to‐end neural network approach for real‐time biological cell detection and classification via label‐free quantitative imaging flow cytometry based on digital holography, offering a comprehensive representation of cellular structures without the need for chemical cell staining. In contrast to previous studies, our method is
Dana Yagoda‐Aharoni, Eden Dotan, Matan Dudaie, Natan T. Shaked   +3 more
wiley   +1 more source

Yolov5s-PSG: Improved Yolov5s-Based Helmet Recognition in Complex Scenes

IEEE Access
In the field of industrial safety, due to the existence of color, distance and other reasons in complex industrial environments caused by the helmet small target detection methods have the problem of misdetection and omission, and the Yolov5s model for real-time detection of helmets is not ideal.
Yi Li, Xiaolin Shi, Xiaolong Xu, Han Zhang, Fan Yang   +4 more
openaire   +2 more sources

Artificial intelligence‐powered microscopy: Transforming the landscape of parasitology

Journal of Microscopy, Volume 301, Issue 2, Page 280-329, February 2026.
Abstract Microscopy and image analysis play a vital role in parasitology research; they are critical for identifying parasitic organisms and elucidating their complex life cycles. Despite major advancements in imaging and analysis, several challenges remain. These include the integration of interdisciplinary data; information derived from various model
Mariana De Niz, Sara Silva Pereira, David Kirchenbuechler, Leandro Lemgruber, Constadina Arvanitis   +4 more
wiley   +1 more source

FES-YOLOv5s: A Lightweight Model for Agaricus Bisporus Detection

IEEE Access
Agaricus bisporus grows in complex environments and suffers from adhesion and occlusion problems. In this study, we propose a lightweight recognition model for Agaricus bisporus— FES-YOLOv5s—based on YOLOv5s.
Hao Ma, Haigang Ma, Jiangtao Ji, Hongwei Cui   +3 more
doaj   +1 more source