Search Results - Deep-learning algorithms for image classification

ANALYSIS OF DEEP LEARNING ALGORITHMS FOR IMAGE CLASSIFICATION

Authors: Geetika Dhand Kavita Sheoran Rachna Jain et al.

Source: Proceedings on Engineering Sciences, Vol 7, Iss 3, Pp 1771-1780 (2025)

Subject Terms: deep learning, neural networks, activation functions, classification, perceptron model, Engineering (General). Civil engineering (General), TA1-2040

File Description: electronic resource

Relation: https://pesjournal.net/journal/v7-n3/35.pdf; https://doaj.org/toc/2620-2832; https://doaj.org/toc/2683-4111

Access URL: https://doaj.org/article/d87c80ed72944dbdbeedcf06c139f641

Comparative Analysis of Deep Learning Algorithms for Image Classification

Authors: Ginjupalli Pranay Chowdary Rajakumar K Sri Satya Narendra Yalla et al.

Source: 2024 2nd International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES). :1-6

Feature Fusion Using Deep Learning Algorithms in Image Classification for Security Purposes by Random Weight Network

Authors: Mustafa Servet Kiran Gokhan Seyfi Merve Yilmaz et al.

Source: Applied Sciences. 15:9053

A Comparative Analysis of Machine Learning and Deep Learning Algorithms for Image Classification

Authors: Mukesh Madanan Saraswathy Shamini Gunasekaran Moamin A. Mahmoud

Source: 2023 6th International Conference on Contemporary Computing and Informatics (IC3I). :2436-2439

Architecture of Deep Learning Algorithms in Image Classification: Systematic Literature Review

Authors: Ochango, Vincent Mbandu Ochango John Gichuki Ndia

Source: International Journal of Formal Sciences: Current and Future Research Trends; Vol. 20 No. 1 (2023); 19-42; 2790-7945

Index Terms: Feature extraction, deep learning, deep neural network architectures, convolution neural network, transfer learning, info:eu-repo/semantics/article, info:eu-repo/semantics/publishedVersion, Peer-reviewed Article

URL: https://ijfscfrtjournal.isrra.org/Formal_Sciences_Journal/article/view/906
https://ijfscfrtjournal.isrra.org/Formal_Sciences_Journal/article/view/906/114
https://ijfscfrtjournal.isrra.org/Formal_Sciences_Journal/article/view/906/114

Texture Image Classification Based on Deep Learning and Wireless Sensor Technology

Authors: Fengping Chen Jianhua Qi Xinquan Li

Source: Comput Intell Neurosci

Subject Terms: Technology, Deep Learning, Radar, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Wireless Technology, Algorithms, Research Article

Access URL: https://pubmed.ncbi.nlm.nih.gov/35655490

Feature Fusion Using Deep Learning Algorithms in Image Classification for Security Purposes by Random Weight Network.

Authors: Kiran, Mustafa Servet Seyfi, Gokhan Yilmaz, Merve et al.

Source: Applied Sciences (2076-3417); Aug2025, Vol. 15 Issue 16, p9053, 29p

Subject Terms: DEEP learning, FEATURE extraction, SECURITY management, IMAGE recognition (Computer vision), ANOMALY detection (Computer security), RADIOGRAPHY

Performance Evaluation of Four Deep Learning-Based CAD Systems and Manual Reading for Pulmonary Nodules Detection, Volume Measurement, and Lung-RADS Classification Under Varying Radiation Doses and Reconstruction Methods.

Authors: Chen, Sifan Gao, Lingqi Tan, Maolu et al.

Source: Diagnostics (2075-4418); Jul2025, Vol. 15 Issue 13, p1623, 17p

Subject Terms: PULMONARY nodules, COMPUTER-aided diagnosis, CLASSIFICATION algorithms, VOLUME measurements, DEEP learning

A comparative study of deep learning algorithms for image-based classification of hyperpigmented skin disease.

Authors: Ranuh, I Gusti Bagus Ramadha Saverian Sanjoto, Marvellino Christian Zakiyyah, Alfi Yusrotis et al.

Source: Procedia Computer Science. 2024, Vol. 245, p1129-1138. 10p.

Subject Terms: Convolutional neural networks, Machine learning, Pigmentation disorders, Human skin color, Skin diseases, Deep learning, Melanins

Classification of Boiling Regimes, Fluids, and Heating Surfaces Through Deep Learning Algorithms and Image Analysis

Authors: Concepción Paz Adrián Cabarcos Miguel Concheiro et al.

Source: Investigo. Repositorio Institucional de la Universidade de Vigo
Universidade de Vigo (UVigo)

Subject Terms: 2210 Química Física

Access URL: http://hdl.handle.net/11093/9274
https://linkinghub.elsevier.com/retrieve/pii/S001793102500170X

Optimization of neural networks for deep learning and applications to CT image segmentation

Authors: Pezzano, Giuseppe

Contributors: University/Department: Universitat de Barcelona. Facultat de Matemàtiques

Thesis Advisors: Radeva, Petia, Ribas Ripoll, Vicent

Source: TDX (Tesis Doctorals en Xarxa)

Subject Terms: Xarxes neuronals convolucionals, Redes neuronales convolucionales, Convolutional neural networks, Aprenentatge automàtic, Aprendizaje automático, Machine learning, Diagnòstic per la imatge, Diagnóstico por imagen, Diagnostic imaging, Càncer de pulmó, Cáncer de pulmón, Lung cancer, COVID-19, Ciències Experimentals i Matemàtiques

File Description: application/pdf

Access URL: http://hdl.handle.net/10803/689814

Classification of boiling regimes, fluids, and heating surfaces through deep learning algorithms and image analysis.

Authors: Paz, Concepción Cabarcos, Adrián Concheiro, Miguel et al.

Source: International Journal of Heat & Mass Transfer. Jun2025, Vol. 242, pN.PAG-N.PAG. 1p.

Subject Terms: *CONVOLUTIONAL neural networks, *MACHINE learning, *IMAGE recognition (Computer vision), *COMPUTER vision, *SINGLE-phase flow, *DEEP learning, *SOLAR collectors

User-Centric Enhancements to Explainable AI Algorithms for Image Classification

Authors: Soltani, Severine Kaufman, Robert A Pazzani, Michael J

Source: Proceedings of the Annual Meeting of the Cognitive Science Society. 44(44)

Subject Terms: Artificial Intelligence, Neural Networks, Survey

File Description: application/pdf

Access URL: https://escholarship.org/uc/item/0n90s7q6
https://escholarship.org/content/qt0n90s7q6/qt0n90s7q6.pdf

Evaluation Of Image Recognition Models In Machine Learning.

Authors: Gambino, Alberto

Source: International Journal of High School Research; Nov2023, Vol. 5 Issue 6, p1-9, 9p

Subject Terms: IMAGE recognition (Computer vision), MACHINE learning, CONVOLUTIONAL neural networks, DEEP learning, CLASSIFICATION algorithms

Spectral Image Classification with Deep Learning

Authors: Jankov, Viktor Prochaska, J. Xavier

Source: Publications of the Astronomical Society of the Pacific, 2018 Sep 01. 130(991), 1-8.

Access URL: https://www.jstor.org/stable/26660656

Comparative Investigation of Learning Algorithms for Image Classification with Small Dataset.

Authors: Iqbal, Imran Odesanmi, Gbenga Abiodun Wang, Jianxiang et al.

Source: Applied Artificial Intelligence. 2021, Vol. 35 Issue 10, p697-716. 20p.

Subject Terms: *MACHINE learning, *DEEP learning, *CLASSIFICATION algorithms

Classification of digital dermatitis with image processing and machine learning methods.

Authors: Yiğitarslan, Kürşad Kırbaş, İsmail

Source: Veterinary Journal of Mehmet Akif Ersoy University. Dec2022, Vol. 7 Issue 3, p195-200. 6p.

Subjects: Skin inflammation, Image processing, Machine learning, Dairy cattle, Supervised learning

Deep learning for lithological classification of carbonate rock micro-CT images

Authors: Carlos E. M. dos Anjos Manuel R. V. Avila Adna G. P. Vasconcelos et al.

Source: Computational Geosciences. 25:971-983

Subject Terms: 02 engineering and technology, 0204 chemical engineering, 01 natural sciences, 0105 earth and related environmental sciences

Access URL: https://link.springer.com/article/10.1007/s10596-021-10033-6
https://arxiv.org/pdf/2007.15693
https://dblp.uni-trier.de/db/journals/corr/corr2007.html#abs-2007-15693
https://www.scilit.net/article/ab2929f0bf755fbebe23b945779e2c29
https://arxiv.org/abs/2007.15693
https://www.arxiv-vanity.com/papers/2007.15693/

Enhancing the Accuracy of an Image Classification Model Using Cross-Modality Transfer Learning.

Authors: Liu, Jiaqi Chui, Kwok Tai Lee, Lap-Kei

Source: Electronics (2079-9292); Aug2023, Vol. 12 Issue 15, p3316, 26p

Subject Terms: IMAGE recognition (Computer vision), KNOWLEDGE transfer, DEEP learning, CLASSIFICATION algorithms, PROBLEM solving

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