Residual Attention Augmentation Graph Neural Network for Improved Node Classification

Authors: Muhammad Affan Abbas, Waqar Ali, Florentín Smarandache, Sultan S. Alshamrani, Muhammad Ahsan Raza, Abdullah Alshehri, Mubashir Ali

Source: Engineering, Technology & Applied Science Research. 14:13238-13242

Subject Terms: Artificial neural network, Artificial intelligence, Life Sciences, Structural engineering, Classification of Brain Tumor Type and Grade, 02 engineering and technology, Traffic Flow Prediction and Forecasting, Building and Construction, Node (physics), Computer science, 7. Clean energy, Graph, Anomaly Detection in High-Dimensional Data, Algorithm, Engineering, Theoretical computer science, Neurology, Artificial Intelligence, Residual, Physical Sciences, Computer Science, 0202 electrical engineering, electronic engineering, information engineering, Neuroscience

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FortisEDoS: A Deep Transfer Learning-Empowered Economical Denial of Sustainability Detection Framework for Cloud-Native Network Slicing

Authors: Chafika Benzaïd, Tarik Taleb, Ashkan Sami, Othmane Hireche

Source: IEEE Transactions on Dependable and Secure Computing

Subject Terms: Artificial intelligence, Denial-of-service attack, Computer Networks and Communications, 7. Clean energy, 12. Responsible consumption, Anomaly Detection in High-Dimensional Data, Transfer of learning, Characterization and Detection of Android Malware, Deep Learning, Artificial Intelligence, Computer security, 11. Sustainability, Cloud computing, 14. Life underwater, DDoS Attacks, Deep learning, 15. Life on land, Computer science, Intrusion Detection, World Wide Web, Detection, Operating system, 13. Climate action, Computer Science, Physical Sciences, Signal Processing, Network Intrusion Detection and Defense Mechanisms, Botnet Detection, The Internet

Meta‐analysis and systematic review for anomaly network intrusion detection systems: Detection methods, dataset, validation methodology, and challenges

Authors: Ziadoon Kamil Maseer, Qusay Kanaan Kadhim, Baidaa Al‐Bander, Robiah Yusof, Abdu Saif

Source: IET Networks, Vol 13, Iss 5-6, Pp 339-376 (2024)

Subject Terms: FOS: Computer and information sciences, Artificial intelligence, Computer Science - Cryptography and Security, Outlier Detection, Computer Networks and Communications, TK5101-6720, Systems and Control (eess.SY), Anomaly detection, Electrical Engineering and Systems Science - Systems and Control, Anomaly Detection in High-Dimensional Data, Traffic Analysis, Artificial Intelligence, computer network security, FOS: Electrical engineering, electronic engineering, information engineering, Anomaly-based intrusion detection system, Data mining, Intrusion detection system, Computer science, Intrusion Detection, Machine Learning for Internet Traffic Classification, Computer Science, Physical Sciences, Telecommunication, Network Intrusion Detection and Defense Mechanisms, Anomaly Detection, computer networks, Botnet Detection, Cryptography and Security (cs.CR)

Access URL: http://arxiv.org/abs/2308.02805
https://doaj.org/article/fb47601826e4494991980cd451b5df62

Unsupervised feature based algorithms for time series extrinsic regression

Authors: David Guijo-Rubio, Matthew Middlehurst, Guilherme Arcencio, Diego Furtado Silva, Anthony Bagnall

Source: Data Mining and Knowledge Discovery. 38:2141-2185

Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, Economics and Econometrics, Artificial intelligence, Time series, Feature (linguistics), Social Sciences, Machine Learning (stat.ML), 02 engineering and technology, Econophysics: Complexity in Financial Markets, Clustering of Time Series Data and Algorithms, Pattern recognition (psychology), Feature Extraction, Machine Learning (cs.LG), Unsupervised, Anomaly Detection in High-Dimensional Data, Agent-Based Modeling, Statistics - Machine Learning, Artificial Intelligence, Machine learning, Series (stratigraphy), FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Data mining, Biology, Dynamic Time Warping, Statistics, Nonstationary Time Series, Paleontology, Linguistics, Computer science, Regression, FOS: Philosophy, ethics and religion, Algorithm, Economics, Econometrics and Finance, Philosophy, Signal Processing, Computer Science, Physical Sciences, FOS: Languages and literature, Mathematics

Access URL: http://arxiv.org/abs/2305.01429

Performance analysis of physically-based (HEC-RAS, CADDIES) and AI-based (LSTM) flood models for two case studies

Authors: Marina Batalini de Macedo, Nikunj K. Mangukiya, Maria Clara Fava, Ashutosh Sharma, Roberto Fray da Silva, Ankit Agarwal, Maria Tereza Razzolini, Eduardo Mário Mendiondo, N. K. Goel, Mathew Kurian, Adelaide Cássia Nardocci

Source: Proceedings of the International Association of Hydrological Sciences, Vol 386, Pp 41-46 (2024)

Subject Terms: Artificial intelligence, Environmental Engineering, Rainfall-Runoff Modeling, Hydrological Modeling, 0208 environmental biotechnology, Urban Flooding, 0207 environmental engineering, 02 engineering and technology, Anomaly Detection in High-Dimensional Data, Global Flood Risk Assessment and Management, Artificial Intelligence, Hydrological Modeling using Machine Learning Methods, GE1-350, 14. Life underwater, QE1-996.5, Global and Planetary Change, Geography, FOS: Environmental engineering, 1. No poverty, Groundwater Level Forecasting, Geology, Flood myth, 15. Life on land, Computer science, 6. Clean water, Environmental sciences, Archaeology, 13. Climate action, Computer Science, Physical Sciences, Environmental Science, Flood Inundation Modeling

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Access URL: https://piahs.copernicus.org/articles/386/41/2024/
https://doaj.org/article/e8afd355961f4555854fe6c08f32cf2c
https://repository.publisso.de/resource/frl:6482483

An Ensemble Feature Selection Approach-Based Machine Learning Classifiers for Prediction of COVID-19 Disease

Authors: J. Hossen, Thirumalaimuthu Thirumalaiappan Ramanathan, Abdullah Al Mamun

Source: Int J Telemed Appl
International Journal of Telemedicine and Applications, Vol 2024 (2024)

Subject Terms: 0301 basic medicine, Artificial neural network, Radiology, Nuclear Medicine and Imaging, Artificial intelligence, Support vector machine, Pattern recognition (psychology), Genetic programming, Feature Extraction, Anomaly Detection in High-Dimensional Data, 03 medical and health sciences, Artificial Intelligence, Automated Analysis of Blood Cell Images, Ensemble learning, Health Sciences, Machine learning, Decision tree, Multilayer perceptron, 0303 health sciences, Naive Bayes classifier, Particle swarm optimization, Applications of Deep Learning in Medical Imaging, Computer science, Q300-390 Cybernetics, 3. Good health, Computer Science, Physical Sciences, Feature selection, Medicine, Computer Vision and Pattern Recognition, Classifier (UML), Research Article, Random forest

File Description: text

Access URL: https://pubmed.ncbi.nlm.nih.gov/38660584
https://doaj.org/article/c1d9c8ebfd3647289be61572b2847337

Structural entropy minimization combining graph representation for money laundering identification

Authors: Shaojiang Wang, Pengcheng Wang, Bin Wu, Yifan Zhu, Wei Luo, Yaodong Pan

Source: International Journal of Machine Learning and Cybernetics. 15:3951-3968

Subject Terms: Artificial intelligence, Sociology and Political Science, Economics, Money laundering, Social Sciences, Money Laundering, Graph, Anomaly Detection in High-Dimensional Data, Theoretical computer science, Artificial Intelligence, FOS: Mathematics, Entropy (arrow of time), Computational intelligence, Minification, Physics, Mathematical optimization, 1. No poverty, 16. Peace & justice, Computer science, Computer Science, Physical Sciences, 8. Economic growth, Thermodynamics, Organized Crime and Criminal Networks Analysis, Mathematics, Finance

Cumulative histogram as a feature selection technique for anomaly detection

Authors: Mostafa Y. Nassar, Fathi E. Abd El‐Samie, Adel A. Saleeb, Nirmeen A. El‐Bahnasawy, Hossam Eldin H. Ahmed

Source: Multimedia Tools and Applications. 84:10095-10107

Subject Terms: Artificial intelligence, Computer Networks and Communications, Feature (linguistics), Biomedical Engineering, 02 engineering and technology, Anomaly detection, FOS: Medical engineering, Pattern recognition (psychology), Anomaly Detection in High-Dimensional Data, Engineering, Selection (genetic algorithm), Artificial Intelligence, 0202 electrical engineering, electronic engineering, information engineering, Artificial Immune Systems in Science and Engineering, Image (mathematics), Data mining, Histogram, Physics, Linguistics, Condensed matter physics, Computer science, Anomaly (physics), FOS: Philosophy, ethics and religion, Philosophy, Computer Science, Physical Sciences, Feature selection, Network Intrusion Detection and Defense Mechanisms, FOS: Languages and literature

Advancing IoT Cybersecurity: Adaptive Threat Identification with Deep Learning in Cyber-Physical Systems

Authors: C. Atheeq, Ruhiat Sultana, Syeda Asfiya Sabahath, M. Mohammed

Source: Engineering, Technology & Applied Science Research. 14:13559-13566

Subject Terms: Artificial neural network, Artificial intelligence, IoT Security, Computer Networks and Communications, Industrial control system, Internet of Things, Control (management), 02 engineering and technology, 7. Clean energy, Cyber-physical system, Anomaly Detection in High-Dimensional Data, Identification (biology), Engineering, Deep Learning, Artificial Intelligence, Computer security, Machine learning, Decision tree, 0202 electrical engineering, electronic engineering, information engineering, Biology, Cyber-Physical Systems, Botany, Deep learning, Security Challenges in Smart Grid Systems, 15. Life on land, Computer science, 6. Clean water, Intrusion Detection, Operating system, Control and Systems Engineering, Attack Detection, 13. Climate action, Physical Sciences, Computer Science, Network Intrusion Detection and Defense Mechanisms

Automatic landslide detection and visualization by using deep ensemble learning method

Authors: Kemal Hacıefendioğlu, Nehir Varol, Vedat Toğan, Ümit Bahadır, Murat Emre Kartal

Source: Neural Computing and Applications. 36:10761-10776

Subject Terms: Artificial intelligence, 0211 other engineering and technologies, 02 engineering and technology, Management, Monitoring, Policy and Law, Pattern recognition (psychology), Anomaly Detection in High-Dimensional Data, Computational Science and Engineering, Artificial Intelligence, Ensemble learning, Machine learning, 11. Sustainability, 0202 electrical engineering, electronic engineering, information engineering, 14. Life underwater, Landslide Hazards and Risk Assessment, Seismology, Visualization, 4. Education, Deep learning, Geology, FOS: Earth and related environmental sciences, 15. Life on land, Computer science, Landslide, 13. Climate action, Environmental Science, Physical Sciences, Computer Science, Deep Learning in Computer Vision and Image Recognition, Computer Vision and Pattern Recognition

Advancements in Crime Prevention and Detection: From Traditional Approaches to Artificial Intelligence Solutions

Authors: Oghenevovwero Zion Apene, Nachamada Vachaku Blamah, Gilbert I.O. Aimufua

Source: European Journal of Applied Science, Engineering and Technology. 2:285-297

Subject Terms: Artificial intelligence, Outlier Detection, Novelty Detection, 05 social sciences, FOS: Law, 02 engineering and technology, Criminology, 15. Life on land, 16. Peace & justice, Computer science, Data science, 3. Good health, Anomaly Detection in High-Dimensional Data, FOS: Psychology, Crime prevention, Artificial Intelligence, Computer Science, Physical Sciences, 11. Sustainability, 0202 electrical engineering, electronic engineering, information engineering, Anomaly Detection, Psychology, 0509 other social sciences

Object Knowledge Integration for Skeleton-Based Action Recognition

Authors: Oumaima Moutik, Hiba Sekkat, Taha Ait Tchakoucht, B. Kari, A. El Alaoui

Source: Statistics, Optimization & Information Computing. 12:782-798

Subject Terms: Artificial intelligence, Class (philosophy), Novelty Detection, Action (physics), Physics, 4. Education, Skeleton-Based Recognition, Human Activity Analysis, Video Analysis, 15. Life on land, Skeleton (computer programming), Computer science, Quantum mechanics, Action recognition, Programming language, Anomaly Detection in High-Dimensional Data, Artificial Intelligence, Action Recognition, Human Action Recognition and Pose Estimation, Computer Science, Physical Sciences, Object (grammar), Computer vision, Computer Vision and Pattern Recognition

Blockchain and explainable AI for enhanced decision making in cyber threat detection

Authors: Prabhat Kumar, Danish Javeed, Randhir Kumar, A. K. M. Najmul Islam

Source: Software: Practice and Experience. 54:1337-1360

Subject Terms: Computer Networks and Communications, 02 engineering and technology, Computer science, 7. Clean energy, Intrusion Detection, 3. Good health, Anomaly Detection in High-Dimensional Data, Characterization and Detection of Android Malware, Blockchain, Artificial Intelligence, Computer security, Computer Science, Physical Sciences, Signal Processing, 0202 electrical engineering, electronic engineering, information engineering, Network Intrusion Detection and Defense Mechanisms, Security Analysis, Internet privacy

Improving Techniques for Convolutional Neural Networks Performance

Authors: Dina Darwish

Source: European Journal of Electrical Engineering and Computer Science. 8:1-16

Subject Terms: Radiology, Nuclear Medicine and Imaging, Artificial intelligence, Novelty Detection, Convolutional neural network, 02 engineering and technology, Transfer Learning, Applications of Deep Learning in Medical Imaging, Computer science, 7. Clean energy, Anomaly Detection in High-Dimensional Data, 03 medical and health sciences, 0302 clinical medicine, Deep Learning, Artificial Intelligence, Health Sciences, Computer Science, Physical Sciences, Object Detection, 0202 electrical engineering, electronic engineering, information engineering, Medicine, Neural Network Architectures, Deep Learning in Computer Vision and Image Recognition, Computer Vision and Pattern Recognition

Enhanced Recognition of Human Activity using Hybrid Deep Learning Techniques

Authors: S. Abinaya, T. Rajasenbagam, K. Indira, Uttej Kumar K, P Jayanth

Source: International Journal of Electrical and Electronics Research. 12:36-40

Subject Terms: Artificial intelligence, Activity Recognition in Pervasive Computing Environments, Deep learning, 02 engineering and technology, Human Activity Analysis, 15. Life on land, Activity Recognition, Pattern recognition (psychology), Computer science, 12. Responsible consumption, Anomaly Detection in High-Dimensional Data, Context-Aware Applications, Deep Learning, Artificial Intelligence, Action Recognition, 13. Climate action, Human Action Recognition and Pose Estimation, Computer Science, Physical Sciences, 11. Sustainability, 8. Economic growth, 0202 electrical engineering, electronic engineering, information engineering, Computer Vision and Pattern Recognition, 14. Life underwater

Adaptive Approach to Anomaly Detection in Internet of Things Using Autoencoders and Dynamic Thresholds

Authors: Nayer Tumi Figueroa E, Vishnu Priya A, Selvanayaki Kolandapalayam Shanmugam, K. Ashok Kumar, Sudhakar Sengan, Aleena Teresa C

Source: Journal of Machine and Computing. :1-10

Subject Terms: Artificial intelligence, Outlier Detection, IoT Security, Computer Networks and Communications, Internet of Things, 02 engineering and technology, Anomaly detection, 7. Clean energy, Data science, Anomaly Detection in High-Dimensional Data, Characterization and Detection of Android Malware, Artificial Intelligence, Computer security, 11. Sustainability, 0202 electrical engineering, electronic engineering, information engineering, Biology, Ecology, Intrusion detection system, Computer science, Intrusion Detection, Adaptability, FOS: Biological sciences, Computer Science, Physical Sciences, Signal Processing, Network Intrusion Detection and Defense Mechanisms, Anomaly Detection, Botnet Detection, Interconnectivity

Intrusion Detection in Internet of Things Systems: A Feature Extraction with Naive Bayes Classifier Approach

Authors: Juan Carlos Juárez Vargas, Hayder M. A. Ghanimi, S Sivaprakash, K Amarendra, M. Rajendiran, Sheylla Cotrado

Source: Journal of Machine and Computing. :21-30

Subject Terms: Artificial intelligence, Outlier Detection, Support vector machine, IoT Security, Computer Networks and Communications, Novelty Detection, FOS: Mechanical engineering, Dissemination, 02 engineering and technology, 7. Clean energy, Anomaly Detection in High-Dimensional Data, Automation, Engineering, Artificial Intelligence, Machine learning, 11. Sustainability, 0202 electrical engineering, electronic engineering, information engineering, Data mining, Naive Bayes classifier, Intrusion detection system, Computer science, Mechanical engineering, Intrusion Detection, World Wide Web, Computer Science, Physical Sciences, Feature selection, Network Intrusion Detection and Defense Mechanisms, Telecommunications, Feature extraction, Computer Vision and Pattern Recognition, Botnet Detection, Classifier (UML), Face Recognition and Dimensionality Reduction Techniques, The Internet

3D Graph Convolutional Feature Selection and Dense Pre-Estimation for Skeleton Action Recognition

Authors: Junxian Zhang, Aiping Yang, Changxing Miao, Xiang Li, Rui Zhang, Dang N. H. Thanh

Source: IEEE Access, Vol 12, Pp 11733-11742 (2024)

Subject Terms: Cross-View Recognition, Artificial intelligence, 3D Human Pose, Pose, Class (philosophy), Robustness (evolution), Biomedical Engineering, Gait Recognition, RGB color model, Convolutional neural network, Skeleton-Based Recognition, FOS: Medical engineering, Pattern recognition (psychology), Biochemistry, Gene, smart healthcare, Action recognition, Graph, Anomaly Detection in High-Dimensional Data, Human skeleton, feature selection, Engineering, Theoretical computer science, Artificial Intelligence, Computer security, Machine learning, Interpretability, Key (lock), Skeleton (computer programming), Computer science, TK1-9971, Programming language, Gait Recognition for Human Identification, Chemistry, Action Recognition, Skeleton action recognition, dense pre-estimation, Human Action Recognition and Pose Estimation, Computer Science, Physical Sciences, Feature selection, Feature extraction, Computer vision, Electrical engineering. Electronics. Nuclear engineering, Computer Vision and Pattern Recognition, attention mechanism

Access URL: https://doaj.org/article/ced65894ef8e4f40892f2a86f77acc65

Weighted salp swarm algorithm with deep learning-powered cyber-threat detection for robust network security

Authors: Maha M. Althobaiti, José Escorcia‐Gutierrez

Source: AIMS Mathematics, Vol 9, Iss 7, Pp 17676-17695 (2024)

Subject Terms: Artificial intelligence, Computer Networks and Communications, 02 engineering and technology, Pattern recognition (psychology), 7. Clean energy, Swarm behaviour, Anomaly Detection in High-Dimensional Data, 03 medical and health sciences, Characterization and Detection of Android Malware, Deep Learning, 0302 clinical medicine, Artificial Intelligence, Computer security, Machine learning, network security, QA1-939, 0202 electrical engineering, electronic engineering, information engineering, salp swarm algorithm, cyber threat, Deep learning, Network security, Computer science, convolutional autoencoder, Intrusion Detection, Network Security, Algorithm, intrusion detection systems, Computer Science, Physical Sciences, Signal Processing, Network Intrusion Detection and Defense Mechanisms, Security Analysis, Botnet Detection, Mathematics

Access URL: https://doaj.org/article/70ff11a1d438471ba0570f1e62c30cef

COVID-19 classification based on a deep learning and machine learning fusion technique using chest CT images

Authors: Gerges M. Salama, Asmaa H. Mohamed, Mahmoud Khaled Abd-Ellah

Source: Neural Computing and Applications. 36:5347-5365

Subject Terms: 0301 basic medicine, Artificial neural network, Radiology, Nuclear Medicine and Imaging, Artificial intelligence, Deep Learning in Medical Image Analysis, 02 engineering and technology, Infectious disease (medical specialty), Pattern recognition (psychology), Anomaly Detection in High-Dimensional Data, 03 medical and health sciences, Computational Science and Engineering, Artificial Intelligence, Health Sciences, Machine learning, Deep neural networks, 0202 electrical engineering, electronic engineering, information engineering, Pathology, Disease, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), 4. Education, Deep learning, Applications of Deep Learning in Medical Imaging, Computer-Aided Detection, Computer science, 3. Good health, Coronavirus disease 2019 (COVID-19), Computer Science, Physical Sciences, Medicine, Classifier (UML)