Search Results - Embedded stacked group sparse autoencoder (ESSAY)

Systematic Literature Review of LLM‐Large Language Model in Medical: Digital Health, Technology and Applications.

Authors: Salehin, Imrus Tomal Ahmed Sajib, Md Huda Badhon, Nazmul et al.

Source: Engineering Reports; Sep2025, Vol. 7 Issue 9, p1-36, 36p

Subject Terms: LANGUAGE models, DIGITAL health, MEDICAL consultation, GENERATIVE pre-trained transformers, MEDICAL informatics, MEDICAL technology, SCIENTIFIC observation, ETHICAL problems

A review of LLMs and their applications in the architecture, engineering and construction industry.

Authors: Kampelopoulos, Dimitrios Tsanousa, Athina Vrochidis, Stefanos et al.

Source: Artificial Intelligence Review; Aug2025, Vol. 58 Issue 8, p1-46, 46p

A comprehensive survey of loss functions and metrics in deep learning.

Authors: Terven, Juan Cordova-Esparza, Diana-Margarita Romero-González, Julio-Alejandro et al.

Source: Artificial Intelligence Review; Jul2025, Vol. 58 Issue 7, p1-172, 172p

Subject Terms: NATURAL language processing, COMPUTER vision, ARTIFICIAL intelligence, IMAGE processing, RESEARCH personnel, DEEP learning

2023 World Molecular Imaging Congress Program.

Source: Molecular Imaging & Biology; Jan2025, Vol. 27 Issue 1, p1-759, 759p

Subject Terms: MEDICAL sciences, MAGNETIC particle imaging, MOLECULAR biology, BIOTECHNOLOGY, NONINVASIVE diagnostic tests, DEEP learning, COINCIDENCE, GLYCOLYSIS

Intelligent Cinematography: a review of AI research for cinematographic production: Intelligent Cinematography: A review...: A. Azzarelli et al.

Authors: Azzarelli, Adrian Anantrasirichai, Nantheera Bull, David R.

Source: Artificial Intelligence Review; Apr2025, Vol. 58 Issue 4, p1-53, 53p

Subject Terms: GENERATIVE artificial intelligence, OBJECT recognition (Computer vision), ARTIFICIAL intelligence, CINEMATOGRAPHY, CAMERA calibration

Towards Robust SDN Security: A Comparative Analysis of Oversampling Techniques with ML and DL Classifiers.

Authors: Bajenaid, Aboubakr Khemakhem, Maher Eassa, Fathy E. et al.

Source: Electronics (2079-9292); Mar2025, Vol. 14 Issue 5, p995, 42p

Subject Terms: MACHINE learning, DEEP learning, PRINCIPAL components analysis, SOFTWARE-defined networking, RESEARCH personnel

A comprehensive review on performance-based comparative analysis, categorization, classification and mapping of text extraction system techniques for images.

Authors: Ghai, Deepika Saxena, Sobhit Dhingra, Gittaly et al.

Source: Multimedia Tools & Applications; Feb2025, Vol. 84 Issue 5, p2327-2484, 158p

Subject Terms: EXTRACTION techniques, ARTIFICIAL intelligence, EVIDENCE gaps, HYPERLINKS, MACHINE learning

Single-cell omics: experimental workflow, data analyses and applications.

Authors: Sun, Fengying Li, Haoyan Sun, Dongqing et al.

Source: SCIENCE CHINA Life Sciences; Jan2025, Vol. 68 Issue 1, p5-102, 98p

Deep learning-based software engineering: progress, challenges, and opportunities.

Authors: Chen, Xiangping Hu, Xing Huang, Yuan et al.

Source: SCIENCE CHINA Information Sciences; Jan2025, Vol. 68 Issue 1, p1-88, 88p

Abstract Supplement ACR Convergence 2024.

Source: Arthritis & Rheumatology; Sep2024 Supplement 1, Vol. 76, p1-5598, 5598p

Subject Terms: CONFERENCES & conventions, RHEUMATOLOGY

Geographic Terms: WASHINGTON (D.C.), UNITED States

A Machine Learning Approach for the Simultaneous Detection of Preknowledge in Examinees and Items When Both Are Unknown.

Authors: Pan, Yiqin Wollack, James A.

Source: Educational Measurement: Issues & Practice; Mar2023, Vol. 42 Issue 1, p76-98, 23p, 1 Diagram, 4 Charts, 13 Graphs

Subject Terms: MACHINE learning, COMPUTER adaptive testing, CONFIDENCE

A review of deep learning-based human violence actions detection.

Authors: Khalaf, Suadad Zaidan Shujaa, Mohamed Ibrahim Alwahhab, Ahmed Bahaaulddin A.

Source: AIP Conference Proceedings; 2024, Vol. 3232 Issue 1, p1-19, 19p

Subject Terms: COMPUTER vision, RECURRENT neural networks, CONVOLUTIONAL neural networks, FEATURE extraction, IMAGE recognition (Computer vision), DEEP learning

Survey of Transformer-Based Malicious Software Detection Systems.

Authors: Alshomrani, Mohammed Albeshri, Aiiad Alturki, Badraddin et al.

Source: Electronics (2079-9292); Dec2024, Vol. 13 Issue 23, p4677, 34p

Subject Terms: TRANSFORMER models, MACHINE learning, MALWARE, DEEP learning, CYBERTERRORISM, RANSOMWARE

Exploring the Potential of Deep Learning and Blockchain for Intrusion Detection Systems: A Comprehensive Review.

Authors: Nagarjun, A. Venkata Rajkumar, Sujatha

Source: Journal of Circuits, Systems & Computers; 11/15/2024, Vol. 33 Issue 16, p1-40, 40p

Subject Terms: DEEP learning, BLOCKCHAINS, QUALITY of service, COMPUTATIONAL complexity, SCALABILITY, INTRUSION detection systems (Computer security)

Blockchain, artificial intelligence, and healthcare: the tripod of future—a narrative review.

Authors: Bathula, Archana Gupta, Suneet K. Merugu, Suresh et al.

Source: Artificial Intelligence Review; Sep2024, Vol. 57 Issue 9, p1-123, 123p

The Promise of Artificial Intelligence in Neuroanesthesia: An Update.

Authors: Liao, Zhenrui Mathur, Niharika Joshi, Vidur et al.

Source: Journal of Neuroanaesthesiology & Critical Care; Sep2024, Vol. 11 Issue 3, p167-178, 12p

Subject Terms: ARTIFICIAL intelligence laws, COMPUTERS, DATA analysis, ARTIFICIAL intelligence, ANESTHESIA in neurology, MEDICAL research, ARTIFICIAL neural networks, ANESTHESIOLOGY, AUTOMATION, DIGITAL image processing, MACHINE learning, ALGORITHMS

Survey of deep emotion recognition in dynamic data using facial, speech and textual cues.

Authors: Zhang, Tao Tan, Zhenhua

Source: Multimedia Tools & Applications; Jul2024, Vol. 83 Issue 25, p66223-66262, 40p

Subject Terms: EMOTION recognition, SPEECH, AUTOMATIC speech recognition, HUMAN-computer interaction, STREAMING media, EMOTIONAL state

In-Network Machine Learning Using Programmable Network Devices: A Survey.

Authors: Zheng, Changgang Hong, Xinpeng Ding, Damu et al.

Source: IEEE Communications Surveys & Tutorials; Q2 2024, Vol. 26 Issue 2, p1171-1200, 30p

Cognitive Plausibility in Natural Language Processing.

Authors: Beinborn, Lisa Hollenstein, Nora

Source: Synthesis Lectures on Human Language Technologies; 2024, piii-158, 162p

Interactive and Explainable Robot Learning: A Comprehensive Review.

Authors: Seraj, Esameil Lee, Kin Man Zaidi, Zulfiqar et al.

Source: Foundations & Trends in Robotics; 2024, Vol. 12 Issue 2/3, p75-349, 275p