Search Results - Deep Learning in Computer Vision and Image Recognition

Computer Vision and Deep Learning Transforming Image Recognition and Beyond

Authors: Yizhi Chen Sihao Wang Luqi Lin et al.

Source: International Journal of Computer Science and Information Technology. 2:45-51

Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey.

Authors: Xu, Huali Zhi, Shuaifeng Sun, Shuzhou et al.

Source: ACM Computing Surveys. Aug2025, Vol. 57 Issue 8, p1-37. 37p.

Subject Terms: DEEP learning, IMAGE recognition (Computer vision), MACHINE learning

Evaluating Convolutional Neural Networks for Class Imbalance in Mars Image Classification.

Authors: Gao, Kehan Tasneem, Sarah Khoshgoftaar, Taghi M.

Source: International Journal of Reliability, Quality & Safety Engineering. Oct2025, Vol. 32 Issue 5, p1-22. 22p.

Subject Terms: IMAGE recognition (Computer vision), CONVOLUTIONAL neural networks, COMPUTER vision, DEEP learning, MARS (Planet)

3D Image Modeling and Deep Learning-based Ambient Sound Processing Tools, Multi-Sensor Data Fusion Simulation and Computer Vision Algorithms, and 3D Reconstruction and Digital Twin Technologies in Internet of Things-enabled Smart City Governance

Authors: Ciurlău, Cristian Florin Pantovic, Danijela (Durkalic) Curčić, Nikola et al.

Source: Geopolitics, History, and International Relations, 2024 Jan 01. 16(1), 67-82.

Access URL: https://www.jstor.org/stable/48813031

Gating Attention Convolutional Model Based on Long/Short-Range Features and its Application in Intelligent Livestock Farming.

Authors: Yang, Yadong Yang, Kang She, Deyong et al.

Source: International Journal of Pattern Recognition & Artificial Intelligence. Nov2025, p1. 28p. 12 Illustrations.

Subject Terms: IMAGE recognition (Computer vision), FEATURE extraction, DEEP learning, LIVESTOCK farms, ATTENTION

A Robust Deep Learning Framework: Ensemble of YOLOv8 and EfficientNet.

Authors: Kaur, Harjeet Prashar, Deepak Kumar, Vipul

Source: Journal of Information Technology Management (JITM). 2025 Special Issue, Vol. 17, p32-44. 13p.

Subject Terms: IMAGE recognition (Computer vision), OBJECT recognition (Computer vision), DEEP learning, PLURALITY voting, AGRICULTURE, PAPAYA, BANANAS

Development of an Automated Sports Teaching Assistance Tool Based on Image Recognition.

Authors: Zhang, Shu Toldoya, Jacklyn Anne D.

Source: Traitement du Signal. Jun2025, Vol. 42 Issue 3, p1493-1502. 10p.

Subject Terms: *DIGITAL transformation, *ARTIFICIAL neural networks, IMAGE recognition (Computer vision), SPORTS instruction, DEEP learning, MOTION analysis, MOVEMENT education

图像分类任务中的注意力机制研究综述.

Alternate Title: A Survey of Attention Mechanisms in Image Classification Tasks.

Authors: 林国军 龚 涛 林 通

Source: Telecommunication Engineering. 8/28/2025, Vol. 65 Issue 8, p1349-1362. 14p.

Subject Terms: ATTENTION, IMAGE recognition (Computer vision), MACHINE learning, DEEP learning

Determining the efficiency of using deep learning methods to detect fields of industrial crops using satellite image analysis

Source: Information and control systems at railway transport; Vol. 30 No. 2 (2025): Information and control systems at railway transport; 159-167
Информационно-управляющие системы на железнодорожном транспорте; Том 30 № 2 (2025): Інформаційно-керуючі системи на залізничному транспорті; 159-167
Інформаційно-керуючі системи на залізничному транспорті; Том 30 № 2 (2025): Інформаційно-керуючі системи на залізничному транспорті; 159-167

Subject Terms: computer vision, image recognition, convolutional neural networks (CNN), image segmentation, transfer learning, комп'ютерний зір, розпізнавання зображень, згорткові нейронні мережі (CNN), сегментація зображень, трансферне навчання

File Description: application/pdf

Access URL: http://jiks.kart.edu.ua/article/view/336439

Proposed design of an augmented deep learning model for estimation of sustainable development goals via satellite image analysis.

Authors: Chatrabhuj Meshram, Kundan

Source: Environment, Development & Sustainability. May2025, Vol. 27 Issue 5, p11307-11333. 27p.

Subject Terms: *NATURAL language processing, IMAGE recognition (Computer vision), REMOTE-sensing images, IMAGE analysis, OPTIMIZATION algorithms, DEEP learning, BIOLOGICALLY inspired computing

A review of deep learning methods for gastrointestinal diseases classification applied in computer-aided diagnosis system.

Authors: Jiang, Qianru Yu, Yulin Ren, Yipei et al.

Source: Medical & Biological Engineering & Computing. Feb2025, Vol. 63 Issue 2, p293-320. 28p.

Subject Terms: COMPUTER-aided diagnosis, IMAGE recognition (Computer vision), GASTROINTESTINAL diseases, NOSOLOGY, DEEP learning

Deep Learning for Marine Vehicles Parking Availability: A ResNet50-Based Deep Feature Engineering Model.

Authors: Gurturk, Mert Cambay, Veysel Yusuf Hafeez-Baig, Abdul et al.

Source: Traitement du Signal. Apr2025, Vol. 42 Issue 2, p663-674. 12p.

Subject Terms: *PARKING facilities, IMAGE recognition (Computer vision), COMPUTER vision, DEEP learning, FEATURE selection, BOATS & boating, FEATURE extraction

Do you "like" my tweets? Exploring verbal and visual cues in traveler's dual-coding process.

Authors: Luo, Yi Zheng, Jie Tang, Liang Rebecca et al.

Source: Journal of Travel & Tourism Marketing. Jul2025, Vol. 42 Issue 5, p693-707. 15p.

Subject Terms: *COVID-19 pandemic, *CONSUMERS' reviews, IMAGE recognition (Computer vision), DEEP learning, TEXT mining

Image Recognition Technology in Supply Chain Management Based on Deep Learning.

Authors: Huang, Jikai¹ (AUTHOR) HJK03341@163.com

Source: Traitement du Signal. Dec2024, Vol. 41 Issue 6, p3193-3201. 9p.

Subject Terms: *SUPPLY chain management, *MANUFACTURING defects, *QUALITY control, *PRODUCT quality, IMAGE recognition (Computer vision), DEEP learning

A Tourist Flow Monitoring and Management System for Scenic Areas Using Image Recognition.

Authors: Yao, Jing Wang, Jiawei Wang, Yiran et al.

Source: Traitement du Signal. Apr2025, Vol. 42 Issue 2, p963-973. 11p.

Subject Terms: *TOURISM, *REAL-time computing, IMAGE recognition (Computer vision), LANDSCAPES, OBJECT recognition (Computer vision)

Three‐dimensional dental image segmentation and classification using deep learning with tunicate swarm algorithm.

Authors: Awari, Harshavardhan Subramani, Neelakandan Janagaraj, Avanija et al.

Source: Expert Systems. Jun2024, Vol. 41 Issue 6, p1-18. 18p.

Subject Terms: *ALGORITHMS, DEEP learning, IMAGE recognition (Computer vision), IMAGE segmentation, THREE-dimensional imaging, COMPUTER-aided diagnosis

Histological tissue classification with a novel statistical filter‐based convolutional neural network.

Authors: Ünlükal, Nejat Ülker, Erkan Solmaz, Merve et al.

Source: Anatomia, Histologia, Embryologia: Journal of Veterinary Medicine Series C. Jul2024, Vol. 53 Issue 4, p1-15. 15p.

Subjects: Convolutional neural networks, Image recognition (Computer vision), Deep learning, Central processing units, Feature extraction

Deep practice of internet of things image recognition technology based on deep learning in intelligent financial supervision system.

Authors: Gao, Yanbing Ma, Rui

Source: Journal of Intelligent & Fuzzy Systems. 2024, Vol. 46 Issue 4, p9511-9523. 13p.

Subject Terms: *ARTIFICIAL intelligence, DEEP learning, IMAGE recognition (Computer vision), CONVOLUTIONAL neural networks, INTERNET of things, IMAGING systems

Deep Learning-Based Approach to Automated Monitoring of Defects and Soiling on Solar Panels.

Authors: Hamdi, Ahmed Noura, Hassan N. Azar, Joseph

Source: Future Internet. Oct2025, Vol. 17 Issue 10, p433. 20p.

Subject Terms: *Knowledge transfer, *Transformer models, Solar panels, Deep learning, Engineering inspection, Clean energy, Image recognition (Computer vision), Convolutional neural networks

Deep ensemble framework with Bayesian optimization for multi-lesion recognition in capsule endoscopy images.

Authors: Guo, Xudong Pang, Liying Chen, Peiyu et al.

Source: Medical & Biological Engineering & Computing. Oct2025, Vol. 63 Issue 10, p3037-3052. 16p.

Subject Terms: *MATHEMATICAL optimization, CAPSULE endoscopy, IMAGE recognition (Computer vision), TRANSFER of training, ENSEMBLE learning, GASTROINTESTINAL diseases