Results 131 to 140 of about 54,995 (246)

System Integration and Field Testing of Low‐Cost Autonomous Platooning Platforms: Collision Avoidance Scenario

Journal of Field Robotics, Volume 43, Issue 2, Page 847-878, March 2026.
ABSTRACT This paper presents the development and validation of a scalable platooning system based on the predecessor‐following (PF) topology, designed for low‐cost follower platforms. It integrates key technologies such as localization, path planning, profile generation, and low‐level control to create a practical solution.
Dongwoo Seo, Jinhee Lee, Jaeyoung Kang
wiley   +1 more source

Efficient Few‐Shot Learning in Remote Sensing: Fusing Vision and Vision‐Language Models

Applied AI Letters, Volume 7, Issue 1, February 2026.
ABSTRACT Remote sensing has become a vital tool across sectors such as urban planning, environmental monitoring, and disaster response. Although the volume of data generated has increased significantly, traditional vision models are often constrained by the requirement for extensive domain‐specific labelled data and their limited ability to understand ...
Jia Yun Chua, Argyrios Zolotas, Miguel Arana‐Catania   +2 more
wiley   +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

Machine Learning‐Enhanced Clinical Decision Support for Diagnosing Sinusitis With Nasal Endoscopy

International Forum of Allergy &Rhinology, Volume 16, Issue 2, Page 152-161, February 2026.
ABSTRACT Background Sinusitis is a prevalent disease for which nasal endoscopy (NE) is an optimal diagnostic modality. However, NE accuracy is limited by inter‐operator variability in landmark identification and localization of mucus that is necessary for sinusitis diagnosis. We sought to develop a novel multi‐class machine learning (ML) framework that
Dipesh Gyawali, Thomas Mundy, Majid Hosseini, Morteza Bodaghi, Akio Fujiwara, Sejal Shyam Bhatia, Kayla Baker, Elena Bartolone, Dhara Patel, Henry Chu, Raju Gottumukkala, Jonathan Bidwell, Edward D. McCoul   +12 more
wiley   +1 more source

Dusty Streets: The Challenge of Dust‐Borne Pollutants in Low‐Income Countries

CLEAN – Soil, Air, Water, Volume 54, Issue 2, February 2026.
Generally, pollution impacts developed and low‐income countries (LICs) to different extents, and the disease burden due to roadway dust is not uniformly distributed across socio‐economic classes. Roadway dust materials from paved and unpaved urban and rural roads were reported to contain organic constituents which are toxic and affect public health ...
Abimbola E. Oluwalana‐Sanusi, Simbarashe Jombo, Johane Hlatywayo, Wisdom A. Munzeiwa, Thendo Mafame, Ibidun C. Obagbuwa, Danielle Speek, Jeremia S. Sefadi, Willis Gwenzi, Nhamo Chaukura   +9 more
wiley   +1 more source

Automated Chess Gameplay With Computer Vision and A Robotic Arm

Engineering Reports, Volume 8, Issue 2, February 2026.
This work demonstrates an autonomous chess‐playing robot integrating deep learning vision, Stockfish engine, and robotic arm with real‐world design recommendations. ABSTRACT This paper presents a fully automated chess‐playing system that integrates computer vision, artificial intelligence, and robotics to enable autonomous gameplay.
Mohammad AlKhatib, Fahed Jubair, Mohammad Al Mashagbeh, Moath Khaleel, Samah Rahamneh   +4 more
wiley   +1 more source

DMS-YOLO: Small target detection algorithm based on YOLOv11. [PDF]

PLoS One
Huang M, Jiang W.
europepmc   +1 more source

Research on Three‐Dimensional Autonomous Obstacle Avoidance Path Planning Methods for UAVs

Transactions on Emerging Telecommunications Technologies, Volume 37, Issue 2, February 2026.
This study presents a three‐dimensional autonomous obstacle‐avoidance path planning method for unmanned aerial vehicles (UAVs) based on a deep reinforcement learning (DRL)‐enhanced Mayfly Algorithm. The traditional Mayfly Algorithm suffers from issues such as random initial population generation and slow convergence.
Chong Wu, Hao Cheng, Hua Wang
wiley   +1 more source

Tackling Small Lunar Impact Crater Classification: A Novel Augmented Data Set and Enhanced Deep Learning Framework

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract Small lunar impact craters, exhibiting diverse morphological characteristics, represent the most abundant geological features on the Moon's surface. These structures serve as crucial indicators for understanding regolith thickness distribution and surface modification processes.
Junjiao Li, Jiao Wang, Junhong Jia, Weiming Cheng, Dijun Guo   +4 more
wiley   +1 more source

Energy-Efficient Automated Detection of OPGW Features for Sustainable UAV-Based Inspection. [PDF]

Sensors (Basel)
Yan X, Mao W, Li X, Huang R, Ye C, Li F, Fan Z.   +6 more
europepmc   +1 more source