Unveiling network intrusions: Leveraging large language models for anomaly detection in cybersecurity.

Authors: Patel, Vraj, Savani, Bhargavi, Shah, Bela, Thakkar, Amit

Source: AIP Conference Proceedings; 2025, Vol. 3255 Issue 1, p1-5, 5p

Subject Terms: Language models, Pattern recognition systems, Anomaly detection (Computer security), Computer network security, Internet security, Intrusion detection systems (Computer security)

Machine learning-based cyber threat analysis and handling healthcare environments.

Authors: Chinappan, Sahaya Kingsly, Baby, Abin, Kurian, Anu T., Lalmohan, Arjun Mohan C., Cyriac, Christy

Source: AIP Conference Proceedings; 2025, Vol. 3260 Issue 1, p1-10, 10p

Subject Terms: Random forest algorithms, Decision trees, Internet security, Electronic health records, Intrusion detection systems (Computer security), Pattern recognition systems, Health care industry, Machine learning

STID-Net: Optimizing Intrusion Detection in IoT with Gradient Descent.

Authors: Hezekiah, James Deva Koresh, Duraisamy, Usha Nandini, Nallusamy, Kalaichelvi, Ramalingam, Avudaiammal, Chandran, Saranya, Thiyagupriyadharsan, Murugesan Rajeswari, Selvaraju, Periasamy, Maheswar, Rajagopal

Source: Sensors (14248220); Mar2025, Vol. 25 Issue 6, p1852, 25p

Subject Terms: Pattern recognition systems, Feature extraction, Anomaly detection (Computer security), Sequential analysis, Internet of things, Intrusion detection systems (Computer security)

The associative pattern classifier: Progress in theoretical understanding.

Authors: Valadez-Godínez, Sergio, Sossa, Humberto, Santiago-Montero, Raúl

Source: Journal of Intelligent & Fuzzy Systems; Feb2026, Vol. 50 Issue 2, p307-321, 15p

Subject Terms: Pattern recognition systems, Static equilibrium (Physics), Fisher discriminant analysis, Vector algebra

Electroencephalogram pattern recognition using fuzzy logic

Authors: Hu, J., Knapp, B.

Source: [1991] Conference Record of the Twenty-Fifth Asilomar Conference on Signals, Systems & Computers Signals, Systems and Computers, 1991. 1991 Conference Record of the Twenty-Fifth Asilomar Conference on. :805-807 vol.2 1991

Relation: Conference Record of the Twenty-Fifth Asilomar Conference on Signals, Systems & Computers

Efficient Intrusion Detection Through the Fusion of AI Algorithms and Feature Selection Methods.

Alternate Title: كشف التسلل من خلال دمج خوارزميات الذكاء الاصطناعي وطرق اختيار الميزات. (Arabic)

Authors: Obaid, Marwa Mohammad, Saleh, Muna Hadi

Source: Journal of Engineering (17264073); Jul2024, Vol. 30 Issue 7, p184-201, 18p

Subject Terms: Intrusion detection systems (Computer security), Feature selection, Pattern recognition systems, Artificial intelligence, Computer network traffic, K-nearest neighbor classification, Machine learning

Applying Generative Machine Learning to Intrusion Detection: A Systematic Mapping Study and Review.

Authors: Halvorsen, James, Izurieta, Clemente, Cai, Haipeng, Gebremedhin, Assefaw

Source: ACM Computing Surveys; Oct2024, Vol. 56 Issue 10, p1-33, 33p

Subject Terms: Artificial neural networks, Machine learning, Pattern recognition systems, Information technology, Artificial intelligence, Intrusion detection systems (Computer security)

Successful intrusion detection with a single deep autoencoder: theory and practice.

Authors: Catillo, Marta, Pecchia, Antonio, Villano, Umberto

Source: Software Quality Journal; Mar2024, Vol. 32 Issue 1, p95-123, 29p

Subject Terms: Intrusion detection systems (Computer security), Pattern recognition systems, Computer security, Feature selection, Machine learning, Theory-practice relationship

Semantic Segmentation Method for Surface Gaps of Brick‐Built Cultural Relic Buildings Based on the Improved U‐Net Network.

Authors: Zhang, Yage, Yu, Yongbo, Zhang, Chunhang, Yue, Jianwei, Yang, Qiong, Guan, Yijie, Chen, Zeyu, Zhao, Shihang, Chen, Zhihua, Yuen, Ka-Veng

Source: Structural Control & Health Monitoring; 5/31/2026, Vol. 2026, p1-20, 20p

Subject Terms: Image segmentation, Convolutional neural networks, Surface cracks, Historic buildings, Structural health monitoring, Mathematical convolutions, Feature extraction, Pattern recognition systems

Curriculum for a New Five-Year Academic Program in Intelligent Systems Engineering and Software Engineering

Authors: Solo, Ashu M. G.

Source: 2023 International Conference on Computational Science and Computational Intelligence (CSCI) CSCI Computational Science and Computational Intelligence (CSCI), 2023 International Conference on. :1700-1707 Dec, 2023

Relation: 2023 International Conference on Computational Science and Computational Intelligence (CSCI)

AudioGuard: Speech Recognition System Robust against Optimized Audio Adversarial Examples.

Authors: Kwon, Hyun

Source: Multimedia Tools & Applications; Jun2024, Vol. 83 Issue 20, p57943-57962, 20p

Subject Terms: Automatic speech recognition, Artificial neural networks, Intrusion detection systems (Computer security), Image recognition (Computer vision), Machine learning

Driver cell phone usage detection on Strategic Highway Research Program (SHRP2) face view videos

Authors: Seshadri, Keshav, Juefei-Xu, Felix, Pal, Dipan K., Savvides, Marios, Thor, Craig P.

Source: 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) Computer Vision and Pattern Recognition Workshops (CVPRW), 2015 IEEE Conference on. :35-43 Jun, 2015

Relation: 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

طراحی و ساخت ماشین بویایی با قابلیت انتقال اطلاعات از دور برای کاردبردهای صنایع غذایی. (Persian)

Alternate Title: Design and development of a machine olfaction with the capability of remote information transmission for food industry applications. (English)

Authors: مهدی قاسمی ورنام, زهرا ایزدی

Source: Iranian Journal of Biosystem Engineering; Fall2024, Vol. 55 Issue 3, p33-47, 15p

Subject Terms: Electronic equipment, Food inspection, Electronic systems, Pattern recognition systems, Computers, Electronic noses

Role of artificial neural networks in fortifying cybersecurity: A review.

Authors: Yadav, Avantika, Aggarwal, Vishesh, Bansal, Sulabh

Source: AIP Conference Proceedings; 2025, Vol. 3253 Issue 1, p1-13, 13p

Subject Terms: Artificial neural networks, Digital technology, Cyberterrorism, Anomaly detection (Computer security), Internet security, Intrusion detection systems (Computer security)

PyTorchによる物体検出

Authors: 新納浩幸

Resource Type: eBook.

Subjects: Machine learning, Computer vision--Computer programs, Pattern recognition systems--Computer programs, Image processing--Computer programs

Categories: COMPUTERS / Machine Theory, COMPUTERS / Artificial Intelligence / General

Algorithm for EDAP-extracting data and plotting

Authors: Zein, D.A.

Source: [1992] Conference Record of the Twenty-Sixth Asilomar Conference on Signals, Systems & Computers Signals, Systems and Computers, 1992. 1992 Conference Record of The Twenty-Sixth Asilomar Conference on. :229-233 vol.1 1992

Relation: Conference Record of the Twenty-Sixth Asilomar Conference on Signals, Systems & Computers

Comprehension-Driven Program Analysis (CPA) for Malware Detection in Android Phones

Authors: Kothari, Suraj

Contributors: IOWA STATE UNIV AMES

Source: DTIC

Subject Terms: Computer Programming and Software, Computer Systems Management and Standards, Human Factors Engineering & Man Machine System, COMPUTER NETWORK SECURITY, COMPUTER VIRUSES, DATA MINING, MOBILE COMPUTING, AUTOMATION, COMPUTER PROGRAMS, INFORMATION EXCHANGE, MAN MACHINE SYSTEMS, NETWORK FLOWS, OPERATING SYSTEMS(COMPUTERS), PARALLEL PROCESSING, PATTERN RECOGNITION, REASONING, RELATIONAL DATA BASES, SCALING FACTOR, SEMANTICS, SYSTEMS ANALYSIS, TARGET CLASSIFICATION, TARGET DETECTION, ANDROID OPERATING SYSTEMS, ANDROID MALWARE, GRAPH PARADIGM FOR SOFTWARE ANALYSIS, MAN-MACHINE SYSTEMS TO REASON ABOUT LARGE SOFTWARE, AUTOMATED SUMMARIZATION OF SOFTWARE LIBRARIES, PE61101E, WUAFRLAPAC9776

File Description: text/html

Relation: http://www.dtic.mil/docs/citations/ADA621995

Availability: http://www.dtic.mil/docs/citations/ADA621995
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA621995

A Semantic Approach to Host-Based Intrusion Detection Systems Using Contiguousand Discontiguous System Call Patterns.

Authors: Creech, Gideon, Hu, Jiankun

Source: IEEE Transactions on Computers; Apr2014, Vol. 63 Issue 4, p807-819, 13p

Subject Terms: Semantic Web, Intrusion detection systems (Computer security), Pattern recognition systems, Constant false alarm rate (Data processing), Programming languages, Computer architecture

Development of intelligent and integrated technology for pattern recognition in EMG signals for robotic prosthesis command.

Authors: Xu, Yongzhao, Barbosa, Paulo C. S., da Cunha Neto, Joel S., Zhang, Lijuan, Shanmuganathan, Vimal, de Albuquerque, Victor Hugo C., Pasupathi, Subbulakshmi

Source: Expert Systems; Jun2023, Vol. 40 Issue 5, p1-15, 15p

Subject Terms: Pattern recognition systems, Artificial intelligence, Prosthetics, Graphical user interfaces, Robotics, Standard of living

Developing A Neural Network-Based Model for Identifying Medicinal Plant Leaves Using Image Recognition Techniques.

Authors: Tiwari, Nidhi, Gupta, Bineet Kumar, Prakash, Abhijityaditya, Tiwari, Kartikesh, Alshmrany, Sami, Ali, Arshad, Husain, Mohammad, Singh, Devendra

Source: Journal of Advanced Zoology; 2023 Supplement, Vol. 44, p1944-1958, 15p

Subject Terms: Image recognition (Computer vision), Pattern recognition systems, Artificial neural networks, Digital image processing, Neural computers, Plant identification, Medical marijuana, Medicinal plants