Results 81 to 90 of about 10,225 (242)

Real-Time Dynamic Gesture Recognition: A Novel Approach for Efficient Human-Computer Interaction

Acta Electrotechnica et Informatica
Dynamic gesture recognition systems face persistent challenges in achieving real-time performance and high recognition efficiency. This paper presents a novel framework integrating computer vision techniques with machine learning algorithms to address ...
Ahmed Mohammed Moyed
doaj   +1 more source

IoT-Based Image Segmentation and Fuzzy Mamdani for Ceramic Insulator Contaminant Identification

Jurnal Ilmiah Telsinas
Ceramic insulators on 150 kV transmission lines are prone to contamination from dust and moss, which can degrade insulation performance and increase the risk of system failure.
Rahul Maryulis Putra, Yusreni Warmi, Arif Handika   +2 more
doaj   +1 more source

Two‐Photon Endomicroscopy for Image‐Guided Magnetic Micro‐Agents

Small, EarlyView.
Image‐guided manipulation of magnetic micro‐agents requires localized fluorescence feedback capable of resolving dynamic interactions in confined environments. This study introduces a two‐photon endomicroscopy platform for real‐time motion tracking, multicolor micro‐agent discrimination, and imaging through biological tissue.
Juan J. Huaroto, Gert‐willem Römer, Ivo M. Vellekoop, Sarthak Misra   +3 more
wiley   +1 more source

Sistem Deteksi Bentuk Rokok Menggunakan Faster Regional Convolutional Neural Network

Medika Teknika
Merokok adalah masalah adiksi berbahaya yang telah lama berakar di masyarakat Indonesia. Konsumsi produk tembakau menyebabkan 7,2 juta kematian, dan sebagian besar terjadi di negara berkembang, termasuk Indonesia.
Yona Ramadika, Romi Mulyadi
doaj   +1 more source

Filtration‐Based SERS With In Situ Gold Growth in Bacterial Microenvironment for Rapid Detection of Low‐Level Bacteria

Small Methods, EarlyView.
A filtration‐assisted SERS platform integrating in situ gold growth within the bacterial microenvironment enables rapid and highly sensitive detection of low‐level bacteria in complex biological matrices. By overcoming hotspot–bacteria mismatch, the platform simultaneously achieves selective bacterial identification and rapid antimicrobial ...
Eun‐Bi Jang, Ji Young Lee, Hoeil Chung, Min‐Young Lee   +3 more
wiley   +1 more source

Automated computer vision morphometry of Siberian elm (Ulmus pumila L.) leaves for the assessment of fluctuating asymmetry

Acta Biologica Sibirica
Developmental stability is a sensitive indicator of environmental quality, and fluctuating asymmetry of bilateral morphological traits offers a straightforward means of its assessment.
Zlata V. Tikhomirova, Denis Yu. Kozlov, Galina G. Sokolova   +2 more
doaj   +1 more source

ІНТЕЛЕКТУАЛЬНИЙ АНАЛІЗ ОПТИЧНИХ ЗОБРАЖЕНЬ НА ОСНОВІ ГІБРИДНОГО ПІДХОДУ

Вісник Національного технічного університету "ХПÌ": Системний аналіз, управління та інформаційні технології
У статті розглянуто інтелектуальний підхід до аналізу оптичних зображень у реальному часі, який базується на поєднанні методів розпізнавання обличчя із використанням глибокого навчання та класичних алгоритмів комп’ютерного зору для їх відстеження ...
Maksym Holikov, Volodymyr Donets, Viktoriia Strilets   +2 more
doaj   +1 more source

YOLO‐GDCNN: Real‐Time Operating Point Detection for Live Working Robots in the Power Industry

High Voltage, EarlyView.
ABSTRACT In the power industry maintenance, the capability of live working robots to detect and operate with power components in real time is paramount. This paper proposes a cascaded detection framework for real‐time detection of live working operation points, named YOLO‐GDCNN. The framework consists of two parts.
Haoning Zhao, Jiamin Guo, Erbao Dong, Rui Guo, Linkun Zhao, Chaoqun Wang, Xuewen Rong, Yibin Li   +7 more
wiley   +1 more source

Comparative Analysis of Machine Learning Algorithms for Automated Hydrophobicity Classification in Composite Insulators Using Contour Features

High Voltage, EarlyView.
ABSTRACT This study presents a comparative analysis of six machine learning algorithms for automated hydrophobicity classification in composite insulators using contour‐based image features. A robust image‐processing pipeline was developed to extract statistical features from water droplet patterns on insulator surfaces, enabling objective ...
Salihu Salisu, Christos Zachariades, Aliyu Abubakar   +2 more
wiley   +1 more source

The role of generative AI in collaborative problem‐solving of authentic challenges

British Journal of Educational Technology, EarlyView.
Abstract This study investigates undergraduate and postgraduate teamwork in a four‐week ‘Generative AI for Social Good’ hackathon, focusing on how students use GAI tools in authentic problem‐solving within their learning ecology. It examines the factors that foster productive collaboration and explores evidence of AI extending human cognition beyond ...
Nancy Law, Nan Wang, Ming Ma, Zhichun Liu, Leon Lei, Shuhui Feng, Xiao Hu, Jack Tsao   +7 more
wiley   +1 more source