Results 21 to 30 of about 6,685 (188)

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

open access: yesAdvanced 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   +5 more
wiley   +1 more source

Enhanced fire hazard detection in solar power plants: an integrated UAV, AI, and SCADA-based approach

open access: yesРадіоелектронні і комп'ютерні системи
The Subject of this research is the development of an intelligent, integrated system for the early detection and causal analysis of fire hazards in large-scale solar power plants (SPPs).
Andrii Lysyi   +6 more
doaj   +1 more source

Design of an Intelligent Energy Management Prototype for an Electric Lighting Network on a Raspberry Pi Board [PDF]

open access: yesITM Web of Conferences
Efficient management of street lighting is crucial for cities seeking to reduce their energy consumption and greenhouse gas emissions. This paper proposes an innovative approach that dynamically adjusts the brightness of streetlights according to two key
Jouahri Mohammed Amine   +5 more
doaj   +1 more source

BSMD-YOLOv8: Enhancing YOLOv8 for Book Signature Marks Detection

open access: yesApplied 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   +3 more
openaire   +2 more sources

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

open access: yesCytometry Part A, EarlyView.
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   +3 more
wiley   +1 more source

Shrimp Diseases Detection Method Based on Improved YOLOv8 and Multiple Features

open access: yes智慧农业
ObjectiveIn recent years, there has been a steady increase in the occurrence and fatality rates of shrimp diseases, causing substantial impacts in shrimp aquaculture.
XU Ruifeng   +5 more
doaj   +1 more source

FB-YOLOv8s: A fire detection algorithm based on YOLOv8s

open access: yesCognitive 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

Dried biofluid droplet morphologies for automated and scalable disease classification

open access: yesDroplet, EarlyView.
For the first time, disease‐specific fingerprints of diabetes and influenza are revealed from dried biofluid droplet morphologies. Using automated droplet detection, texture analysis, and interpretable machine learning, this scalable workflow transforms endpoint droplet patterns into diagnostic biomarkers for point‐of‐care healthcare applications ...
Anusuya Pal   +5 more
wiley   +1 more source

An Improved Small Target Detection Algorithm Based on YOLOv8s [PDF]

open access: yesRadioengineering
Due to challenges such as the small size of targets, complex backgrounds, limited feature extraction capa-bilities, and frequent false positives and false negatives, traditional detection algorithms often perform poorly in small object detection tasks ...
G. Ma, C. Xu, Z. Xu, X. Song
doaj  

Federated Learning and Blockchain-Based Collaborative Framework for Real-Time Wild Life Monitoring

open access: yesCybernetics and Information Technologies
Effective wildlife monitoring in hilly and rural areas can protect communities and diminish human-wildlife conflicts. A collaborative framework may overcome challenges like inadequate data integrity and security, declining detection accuracy over time ...
Jagannathan Preetha   +3 more
doaj   +1 more source

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