Results 71 to 80 of about 5,295 (214)

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

YOLOv5s-Fog: An Improved Model Based on YOLOv5s for Object Detection in Foggy Weather Scenarios

Sensors, 2023
In foggy weather scenarios, the scattering and absorption of light by water droplets and particulate matter cause object features in images to become blurred or lost, presenting a significant challenge for target detection in autonomous driving vehicles.
Xianglin Meng, Yi Liu, Lili Fan, Jingjing Fan   +3 more
doaj   +1 more source

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

เครื่องจ่ายยาอัตโนมัติเเละตรวจสอบความถูกต้องด้วยโมเดล YOLOv5

Journal of Computer and Creative Technology
วารสารคอมพิวเตอร์และเทคโนโลยีสร้างสรรค์, 2, 2, 45 ...
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

Detection and Classification of Railway Track Surface Erosion-caused Holes and Scratches Defects Based on YOLOv5s [PDF]

Railway tracks are exposed to various environmental conditions, which can lead to defects that affect the safe operation of trains and potentially cause accidents.
Dimyati, Kaharudin, Mohamad, Mahazani, Yang, Congbo   +2 more
core   +2 more sources

Improved small target detection algorithm based on multiattention and YOLOv5s for traffic sign recognition

工程科学学报
Traffic sign detection and recognition facilitates real-time monitoring and interpretation of various traffic signs on the road, such as those indicating speed limits, prohibition of overtaking, and navigation cues.
Ge MA, Hongwei LI, Ziwei YAN, Zhijie LIU, Zhijia ZHAO   +4 more
doaj   +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

Large Language Model‐Embedded Intelligent Robotic Scrub Nurse with Multimodal Input for Enhancing Surgeon–Robot Interaction

Advanced Intelligent Systems, Volume 8, Issue 1, January 2026.
A large language model (LLM)‐powered multimodal robotic scrub nurse control framework is proposed for enhancing human–robot interaction. Inside, the vision module gives out instrument class, location, and occlusion relationship. Speech module captures and converts user's speech commands.
Wing Yin Ng, Wanyu Ma, Pheng Ann Heng, Philip Wai Yan Chiu, Zheng Li   +4 more
wiley   +1 more source