Results 31 to 40 of about 13,805 (234)

CDF-YOLOv8: City Recognition System Based on Improved YOLOv8

IEEE Access
To address challenges in urban traffic management, especially detection under low exposure conditions and image quality degradation caused by weather factors, this paper proposes an urban detection algorithm based on the YOLOv8 model. Initially, The idea introduced the Chain-of-Thought Prompt Adaptive Enhancer (CPA-enhancer) to enhance image processing
P. Lu, Y. S. Jia, W. X. Zeng, P. Wei
openaire   +2 more sources

Artificial Intelligence in Autonomous Mobile Robot Navigation: From Classical Approaches to Intelligent Adaptation

Advanced Intelligent Systems, EarlyView.
Artificial intelligence (AI) is reshaping autonomous mobile robot navigation beyond classical pipelines. This review analyzes how AI techniques are integrated into core navigation tasks, including path planning and control, localization and mapping, perception, and context‐aware decision‐making. Learning‐based, probabilistic, and soft‐computing methods
Giovanna Guaragnella, Angelo Cardellicchio, Cosimo Patruno, Massimiliano Nitti, Nicola Pedrocchi, Vito Renò   +5 more
wiley   +1 more source

BSMD-YOLOv8: Enhancing YOLOv8 for Book Signature Marks Detection

Applied Sciences
In the field of bookbinding, accurately and efficiently detecting signature sequences during the binding process is crucial for enhancing quality, improving production efficiency, and advancing industrial automation. Despite significant advancements in object detection technology, verifying the correctness of signature sequences remains challenging due
Long Guo, Lubin Wang, Qiang Yu, Xiaolan Xie   +3 more
openaire   +2 more sources

Quantifying Soft‐Surgery in Cochlear Implantation: Multimodal Data From 30 International Specialists

The Laryngoscope, EarlyView.
Objective data from 30 specialist cochlear implant surgeons showed that surgical handling strongly influences intracochlear mechanical stress during implantation. Surgeons with fewer than 50 lifetime insertions performed significantly worse than more experienced colleagues, while self‐assessment did not reflect objective performance in any group ...
Philipp Aebischer, Georgios Mantokoudis, Marco Caversaccio, Stefan Weder   +3 more
wiley   +1 more source

Optimizing traffic management in Danang: a comparative study of multi-object tracking techniques for real-time vehicle flow monitoring

Tạp chí Khoa học và Công nghệ
This study evaluates the effectiveness of various detection-based object-tracking algorithms to optimize accuracy and efficiency in traffic flow monitoring. Due to its high accuracy in detecting objects, YOLOv8 was chosen as the vehicle detector for this
Hai T. Ton, Hung V. Nguyen, Hanh T. M. Tran, Tien V. Thai, Phong-Phu Le, Tung T. Huynh, Duy-Tuan Dao   +6 more
doaj   +1 more source

FB-YOLOv8s: A fire detection algorithm based on YOLOv8s

Cognitive Robotics
The significance of fire detection lies in protecting public safety and safeguarding the lives and property of people. However, there exist some problems in traditional detection algorithms of fire, such as low accuracy, high miss rate, and low detection rate of small targets.
Yuhang Liu, Chunjuan Bo, Chong Feng
openaire   +2 more sources

A machine learning assisted method for rapidly annotating benthic megafauna in large volumes of marine imagery

Limnology and Oceanography: Methods, EarlyView.
Abstract Recent technological advancements have rapidly expanded our capacity for collecting image data in the marine environment, but processing images into meaningful ecological metrics remains a manual, time‐consuming, and biased process. This is particularly challenging with electro‐optical cabled imaging systems which generate images at a rate ...
Katharine T. Bigham, Ada Carter
wiley   +1 more source

CSD-YOLOv8s: Dense Sheep Small Target Detection Model Based on UAV Images

智慧农业
ObjectiveThe monitoring of livestock grazing in natural pastures is a key aspect of the transformation and upgrading of large-scale breeding farms. In order to meet the demand for large-scale farms to achieve accurate real-time detection of a large ...
WENG Zhi, LIU Haixin, ZHENG Zhiqiang
doaj   +1 more source

Soybean seedling detection and counting from UAV images based on an improved YOLOv8 Network [PDF]

The utilization of unmanned aerial vehicle (UAV) for soybean seedling detection is an effective way to estimate soybean yield, which plays a crucial role in agricultural planning and decision-making.
Kang, Junhua, Li, Heli, Wu, Haotian
core   +1 more source

Matching habitat choice could be brightness‐based instead of hue‐based in green‐brown polymorphic grasshoppers

Oikos, EarlyView.
Some prey species have evolved background matching, that is they resemble their surrounding environment in terms of colour and/or brightness. When prey populations inhabit patchy environments, they may even have evolved specialised phenotypes: each phenotype matching a specific subset of patches.
Lilian Cabon, Holger Schielzeth
wiley   +1 more source