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检索条件"任意字段=2019 International Conference on Applied Machine Learning and Data Science, ICAMLDS 2019"
11127 条 记 录,以下是91-100 订阅
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The State of the Art in Deep learning-Based Anomaly Detection for Crowded Videos  15th
The State of the Art in Deep Learning-Based Anomaly Detectio...
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15th international conference on Soft Computing and Pattern Recognition, SoCPaR 2023 and 14th World Congress on Nature and Biologically Inspired Computing, NaBIC 2023
作者: Tank, Dharmesh R. Patel, Sanjay G. Pandya, Devang S. CE Department LDRP-ITR Kadi Sarva Vishwavidyalaya Gujarat Gandhinagar 382016 India CSE Department Nirma University Gujarat Ahmedabad 382481 India IT Department Ganpat University Gujarat Mehsana 384012 India
Autonomous crowd activity analysis is imperative in light of recent global events. The study of crowd behavior has generated considerable interest in the fields of computer vision and cognitive science. Consider a sce... 详细信息
来源: 评论
Enhanced Diabetes Prediction Through Advanced machine learning and Imbalance Handling Techniques
Enhanced Diabetes Prediction Through Advanced Machine Learni...
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Computing and Information Technology (ICCIT-1441), 2020 international conference on
作者: Inam Abousaber Dept. of Information Technology Faculty of Computers and Information Technology University of Tabuk Tabuk Saudi Arabia
This paper presents a comprehensive analysis of various machine learning classifiers for diabetes prediction, with a specific focus on addressing the challenges posed by imbalanced datasets. The study evaluates the ef... 详细信息
来源: 评论
Comparative Study Using Ensemble Methods and Sampling Techniques for Imbalanced Diabetes data  4th
Comparative Study Using Ensemble Methods and Sampling Techni...
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4th international conference on Intelligent Systems and Pattern Recognition, ISPR 2024
作者: Khemisa, Hana Dendani, Nadjette Khedimi, Yasmine Amara, Nour Djihane Azizi, Nabiha Department of Computer Science Badji Mokhtar University Annaba Algeria
In medical decision making, the efficacy of classification, a vital component of decision support systems, can be significantly compromised by imbalanced class distributions within training data. This discrepancy is e... 详细信息
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Enhancing Network Security: An Ensemble of machine learning Model for Detection of Distributed Denial of Service Attack  2nd
Enhancing Network Security: An Ensemble of Machine Learning ...
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2nd international conference on Emerging Wireless Technologies and sciences, ICEWTS 2024
作者: Rajput, Deepak Singh Upadhyay, Arvind Kumar Amity University Madhya Pradesh Gwalior India
This research aims to address the pressing issue of detecting and mitigating distributed denial of service (DDoS) attacks on computer networks. A hybrid machine learning model is proposed that leverages unsupervised a... 详细信息
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Creating and Analyzing a Multimedia dataset for Building Energy Efficiency Estimation  4th
Creating and Analyzing a Multimedia Dataset for Building Ene...
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4th international conference on Smart Multimedia, ICSM 2024
作者: Chen, Gong Qi Kashyap, Ninad Zhang, Zihao Kucheva, Yana Bobker, Michael Zhu, Zhigang Department of Computer Science The CUNY Graduate Center 365 5th Avenue New YorkNY10016 United States Sustainability in the Urban Environment The CUNY City College 160 Convent Avenue New YorkNY10031 United States Spitzer School of Architecture The CUNY City College 160 Convent Avenue New YorkNY10031 United States Department of Sociology The CUNY City College 160 Convent Avenue New YorkNY10031 United States Building Performance Laboratory The CUNY City College 160 Convent Avenue New YorkNY10031 United States Department of Computer Science The CUNY City College 160 Convent Avenue New YorkNY10031 United States
This paper presents the results of a research that created and analyzed a Multimedia dataset for building energy efficiency estimation. First a new Multimedia Building Energy Efficiency (MMBEE) dataset was created fro... 详细信息
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The Evaluation of Adversarial Attacks Against ML-Powered NIDS in a Realistic Scenario  2nd
The Evaluation of Adversarial Attacks Against ML-Powered NID...
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2nd international conference on applied Intelligence, ICAI 2024
作者: Uccello, Federica Pawlicki, Marek Pawlicka, Aleksandra D’Antonio, Salvatore Kozik, Rafal Choraś, Michal University of Naples ‘Parthenope’ Centro Direzionale Isola C4 Naples80133 Italy Linköping University Linköping Sweden Bydgoszcz University of Science and Technology PBS Bydgoszcz Poland ITTI Poznań Poland
machine learning-based Network Intrusion Detection Systems have significantly advanced network security by identifying and mitigating sophisticated threats. However, current research on adversarial attacks focuses on ... 详细信息
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Intrusion Detection in the Internet of Vehicles Using Transformer Models
Intrusion Detection in the Internet of Vehicles Using Transf...
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Computational Intelligence Approaches and Applications (ICCIAA), international conference on
作者: Mohammad Alauthman Ashraf Mashaleh Nauman Aslam Amjad Aldweesh Ammar Almomani Department of Information Security University of Petra Jordan Al-Balqa Applied University Al-Salt Jordan Department of Computer and Information Sciences Northumbria University U.K. College of computing and IT Shaqra University Shaqra Saudi Arabia Department of Computer Information Science Higher Colleges of Technology UAE Al-Balqa Applied University Jordan
The proliferation of Internet of Vehicles (IoV) systems has introduced critical cybersecurity vulnerabilities in connected vehicle infrastructures. This paper presents a novel application of Transformer architecture f... 详细信息
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The application of ultrasonic measurement and machine learning technique to identify flow regime in a bubble column reactor
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Sensors international 2025年 第1期6卷 100294-100294页
作者: Wongsaroj, Wongsakorn Thong-Un, Natee Hansot, Jirayut Shoji, Naruki Treenuson, Weerachon Kikura, Hiroshige Department of Instrumentation and Electronics Engineering King Mongkut's University of Technology North Bangkok 1518 Wongsawang Bangsue Bangkok10800 Thailand Center of Excellence on Instrumentation Technology and Automation King Mongkut's University North Bangkok Prachinburi Campus 129 Noenhom MuangPrachinburi25230 Thailand Robotics and Mechanical Engineering Research Unit Muroran Institute of Technology 27-1 Mizumoto-cho MuroranHokkaido050-0071 Japan Office of Atoms for Peace Ministry of Science and Technology 2-12-1 Ookayama Meguro-ku Tokyo152-8550 Japan Laboratory for Zero-Carbon Energy Tokyo Institute of Technology 2-12-1 Ookayama Meguro Tokyo152-8550 Japan
This paper presents a novel technique to classify the flow regimes in bubble columns. The ultrasonic velocity profiler is employed to detect the velocity deviation and echo characteristic of bubbles rising in the colu... 详细信息
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Deep learning accelerated inverse modeling and forecasting for large-scale geologic CO2 sequestration
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international Journal of Greenhouse Gas Control 2025年 144卷
作者: Chen, Bailian Yan, Bicheng Aslam, Billal Kang, Qinjun Harp, Dylan Pawar, Rajesh Earth and Environmental Sciences Division Los Alamos National Laboratory NM87545 United States Physical Science and Engineering Division King Abdullah University of Science and Technology Thuwal23955 Saudi Arabia The Freshwater Trust OR97205 United States
Traditional physics-simulation based approaches for inverse modeling and forecasting in geologic CO2 sequestration (GCS) are very time consuming. For example, a single inverse modeling may take a few weeks for a large... 详细信息
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Advancements on multi-fidelity random Fourier neural networks: application to hurricane modeling for offshore wind energy
Advancements on multi-fidelity random Fourier neural network...
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AIAA science and Technology Forum and Exposition, AIAA SciTech Forum 2025
作者: Davis, Owen Geraci, Gianluca Wentz, Jacqueline M. King, Ryan N. Cortiella, Alexandre Rybchuk, Alex Gomez, Miguel Sanchez Deskos, Georgios Motamed, Mohammad Optimization and Uncertainty Quantification Sandia National Laboratories AlbuquerqueNM United States Computational Data Science Sandia National Laboratories LivermoreCA United States National Wind Technology Center National Renewable Energy Laboratory GoldenCO United States Department of Applied Mathematics and Statistics University of New Mexico AlbuquerqueNM United States
Multi-fidelity approaches are emerging as effective strategies in computational science to handle otherwise intractable tasks like Uncertainty Quantification (UQ), training of machine learning (ML) models, and optimiz... 详细信息
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