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• The Role of Machine Learning and Deep Learning in Shaping Modern Computer Science: Challenge, Opportunities, and Future Directions
  crossref 2024-10-15T13:18:16Z 置信度 0.70
• Spatiotemporal integration of GCN and E-LSTM networks for PM2.5 forecasting
  crossref Ali Kamali Mohammadzadeh, Halima Salah, Roohollah Jahanmahin, Abd E Ali Hussain 等 2023-12-15T02:32:35Z 置信度 0.70
• A Machine Learning Approach for Predictive Maintenance in Manufacturing Companies
  Predictive maintenance has been a key component of the aerospace sector in the United Kingdom, helping to guarantee the dependability and security of aircraft. Predictive maintenance systems have reportedly cut maintenance costs by 15% and unscheduled downtime…
  crossref Raymond Betuel Kamgba 2024-10-01T00:57:34Z 置信度 0.70
• EEG Data Analysis for IQ Test Using Machine Learning Approaches
  crossref H. C. Bhoomika Patel, V. Ravikumar, S. P. Pavan Kumar 2024-08-23T13:21:26Z 置信度 0.70
• Decision-making system for the prediction of type II diabetes using machine learning techniques and data balancing
  crossref Sourav Kumar Giri, Sujata Dash 2024-07-19T05:38:10Z 置信度 0.70
• Deciphering the Dynamics of Hospital Readmissions Patterns Using Supervised Machine Learning
  crossref Nithin Narayan Koranchirath 2024-05-10T07:22:06Z 置信度 0.70
• Enhancing Carcass Yield Prediction in Angus Cattle Feedlots: A Comparative Analysis of Machine Learning Models
  crossref Ricardo Garro, Cara Wilson, David Swain, Anibal Pordomingo 等 2025-02-17T18:27:08Z 置信度 0.70
• Forecasting Urban Water Escherichia coli Contamination Using Machine Learning Models
  The state of Indiana ranks first in the nation for water recreation impairments due to contaminated waterways. According to U.S. Environmental Protection Agency, 73% of rivers and streams and 23% of lakes and reservoirs have recreational use impairments like s…
  crossref Vidhatri Iyer 2024-03-26T16:08:13Z 置信度 0.70
• Wireless Indoor Localization by Using Machine Learning Techniques
  Due to its numerous applications in industries like robotics, security, and healthcare, wireless indoor localization is a new technology that has attracted a lot of attention. The localization techniques work by estimating the position of a mobile device or ob…
  crossref Atul Kumar, Jaspreet Kaur 2024-04-02T16:21:23Z 置信度 0.70
• Here’s how machine learning can violate your privacy
  crossref Jordan Awan 2025-08-25T07:45:52Z 置信度 0.70
• Neutrosophic Computing and Machine Learning Vol 35
  The special edition of Neutrosophic Computing and Machine Learning, Vol. 35 (2024), commemorates two significant milestones: 70 years of contributions by Florentin Smarandache and 30 years of Neutrosophic Theory. This volume highlights the transformative impac…
  crossref Maikel Yelandi Leyva Vázquez, Florentin Smarandache 2024-12-16T18:09:07Z 置信度 0.70
• Machine Learning-Enabled Recommendations for the Air Force Officer Assignment System: Volume 5
  crossref 2024-03-04T14:10:55Z 置信度 0.70
• Review for "Embedded machine-readable molecular representation for resource-efficient deep learning applications"
  crossref 2025-02-04T16:11:58Z 置信度 0.70
• Review for "Clustering Electrophysiological Predisposition to Binge Drinking: An Unsupervised Machine Learning Analysis"
  crossref 2024-11-23T16:02:22Z 置信度 0.70
• Author comment: A Bibliographic Outlook: Machine Learning on Biofilm — R0/PR1
  crossref Shan Chen 2025-01-09T02:05:01Z 置信度 0.70
• Review for "Perovskite single crystal SCLC measurement prediction using a machine learning model"
  crossref 2024-07-25T17:08:25Z 置信度 0.70
• Exploration on Learning Disorder using Machine Learning
  crossref Jincy J, Subha Hency Jose P, Georgina Abraham 2024-06-07T17:22:16Z 置信度 0.70
• Data Driven Machine Learning Model for Traffic Flow Forecasting using VANET
  crossref Praveen x 2024-12-11T11:42:56Z 置信度 0.70
• NAÏVE BAYES IS AN INTERPRETABLE MACHINE LEARNING ALGORITHM FOR PREDICTING OSTEOPOROTIC HIP FRACTURE IN‐HOSPITAL MORTALITY COMPARED TO OTHER MACHINE LEARNING ALGORITHMS
  crossref 2024-05-16T02:44:36Z 置信度 0.70
• From Evolution to Intelligence: Exploring the Synergy of Optimization and Machine Learning
  crossref Kedar Nath Das, Rahul Paul 2024-04-22T12:02:17Z 置信度 0.70
• Predictive Modeling of Heart Disease: A Machine Learning Approach
  crossref Sujal Junghare, Preet Patel, Sakshi Bhoyar, Gagandeep Kaur 等 2025-02-11T18:21:27Z 置信度 0.70
• Evaluating the Impact of Subsidies on Solar PV Adoption Using Multi-Agent Systems and Machine Learning
  crossref Iias Faiud, Michael Schukat, Karl Mason 2025-02-11T18:21:27Z 置信度 0.70
• Novel End-to-End Production-Ready Machine Learning Flow for Nanolithography Modeling and Correction
  crossref Mohamed Habib, Hossam A. H. Fahmy, Mohamed F. Abu-ElYazeed 2024-04-01T02:34:45Z 置信度 0.70
• Game Design Evaluating Using Machine Learning
  crossref 2024-01-10T17:03:06Z 置信度 0.70
• Machine Learning Methods for Prediction of Biomedical Properties of Nanomaterials
  crossref 2024-07-31T12:56:30Z 置信度 0.70
• Proceedings of the International Conference on Image Processing, Machine Learning and Pattern Recognition
  crossref 2024-12-09T07:30:07Z 置信度 0.70
• Metaheuristic Methods for Clustering
  crossref 2024-11-08T21:32:12Z 置信度 0.70
• Chapter 7: Variational Autoencoders
  crossref 2024-04-11T18:47:43Z 置信度 0.70
• Real-Time Healthcare Resource Management Planning Using Advanced Machine Learning Methods
  The purpose of this study is to develop predictive and optimization models to reduce patients' waiting time for diagnostic tests and medical treatments. Long wait times for receiving medical care is a pressing issue in the Canadian healthcare system. These wai…
  crossref Tasquia Mizan 2024-06-18T16:42:33Z 置信度 0.70
• Review for "Machine learning inspired models for Hall effects in non-collinear magnets"
  crossref 2024-05-30T17:17:15Z 置信度 0.70
• Machine Learning Techniquesin Joint Default Assessment
  crossref Edoardo Fadda, Elisa Luciano, Patrizia Semeraro 2024-06-12T02:19:30Z 置信度 0.70
• Reviewer #3 (Public review): Lipid discovery enabled by sequence statistics and machine learning
  crossref 2024-12-10T11:59:06Z 置信度 0.70
• Dimensionality Reduction
  crossref Ulisses Braga-Neto 2024-08-06T15:05:23Z 置信度 0.70
• Machine Learning Approach For Data Security Audit In Cloud Computing
  crossref 2024-10-29T07:09:38Z 置信度 0.70
• Conditional Random Field
  crossref Hang Li 2023-12-06T00:02:11Z 置信度 0.70
• Decision letter for "Machine Learning Visualization Tool for Exploring Parameterized Hydrodynamics"
  crossref 2024-11-02T08:11:27Z 置信度 0.70
• Review for "Physics-informed machine learning enabled virtual experimentation for 3D printed thermoplastic"
  crossref 2024-10-03T17:14:32Z 置信度 0.70
• Review for "Regulatory‐based classification of rums: a chemometric and machine learning analysis"
  crossref 2024-09-11T17:14:27Z 置信度 0.70
• Fault Diagnosis and Prediction of Railway Communication Technology Based on Deep Learning
  crossref Lin Wang 2026-01-22T20:58:30Z 置信度 0.70
• Self-Supervised Learning for Identifying Maintenance Defects in Sewer Footage
  Sewerage infrastructure is among the most expensive modern investments requiring time-intensive manual inspections by qualified personnel. Our study addresses the need for automated solutions without relying on large amounts of labeled data. We propose a novel…
  crossref Daniel Otero Gomez, Rafael Mateus 2024-11-13T17:11:31Z 置信度 0.70
• Table of Contents
  crossref 2024-07-23T17:37:15Z 置信度 0.70
• Artificial Intelligence Based Machine Learning Application For Ascertianing Credit Eligibility
  crossref 2024-10-21T09:02:58Z 置信度 0.70
• Table of Contents
  crossref 2024-12-20T18:56:07Z 置信度 0.70
• Chapter 17: Clustering Algorithms
  crossref 2024-12-18T22:35:18Z 置信度 0.70
• Unsupervised Machine Learning Identifies Latent Ultradian States in Multi-Modal Wearable Sensor Signals
  crossref Christopher Thornton, Billy C. Smith, Guillermo M. Besné, Bethany Little 等 2025-02-11T13:21:27Z 置信度 0.70
• Automated Fraud Detection in Financial Transactions using Machine Learning: An Ensemble Perspective
  crossref Tamanna, Shivani Kamboj, Lovedeep Singh, Tanvir Kaur 2024-05-21T17:20:38Z 置信度 0.70
• Data Mining and Machine Learning
  crossref Tsutomu Sasao 2023-07-14T19:01:50Z 置信度 0.70
• Deep Learning Using Geometric Algebra
  crossref Eduardo Bayro-Corrochano 2024-09-26T19:02:03Z 置信度 0.70
• Chapter 26: Automatic Differentiation
  crossref 2024-12-18T22:35:18Z 置信度 0.70
• Machine Learning Techniques: Predictive Modeling for Customer Churn in Telecommunications
  crossref 2024-09-04T13:25:52Z 置信度 0.70
• Machine Learning: Enhancing Intelligent Search and Information Discovery
  Machine learning algorithms are revolutionizing intelligent search and information discovery capabilities. By incorporating techniques like supervised learning, unsupervised learning, reinforcement learning, and deep learning, systems can automatically extract…
  crossref Nikhil Ghadge 2024-06-30T14:58:01Z 置信度 0.70
• Avoiding common machine learning pitfalls
  crossref Michael A. Lones 2024-08-28T10:33:12Z 置信度 0.70
• Machine Learning-Based Forecasting Research on Stocks
  crossref Yuhui Hu 2026-06-29T13:06:28Z 置信度 0.70
• Intelligent Selection of Machine Learning Algorithms - Water Tank Monitoring Example
  crossref Dhafer Thabet, Mouez Ali 2024-07-22T18:02:18Z 置信度 0.70
• Traffic Prediction and Congestion Control Using Regression Models in Machine Learning for Cellular Technology
  crossref R. Madonna Arieth, Subrata Chowdhury, B. Sundaravadivazhagan, Gautam Srivastava 2024-04-10T14:59:45Z 置信度 0.70
• Oracle OIPA Cloud Migration Analysis: Machine Learning Models for Predicting Resource Utilization and Success Outcomes
  This study examines Oracle Insurance Policy Administration (OIPA) Coud Migration projects, analyzing 30 implementations that migrated from SQL Server to Oracle Cloud Infrastructure (OCI) environments. The research focuses on Universal Life Insurance systems mi…
  crossref Tirumala Gundala 2025-11-04T10:11:26Z 置信度 0.70
• Reinforcement learning methods and role of internet of things in civil engineering applications
  crossref Kundan Meshram 2024-01-21T07:47:05Z 置信度 0.70
• A Multimodal Approach for Real-Time Engagement Monitoring in E-Learning Using Machine Learning
  crossref Rohan Shankar 2025-02-26T13:43:35Z 置信度 0.70
• Appliances Energy Prediction using Supervised Machine Learning Approach
  Abstract This paper presents and discusses data-driven predictive models for the energy use of appliances. Data used include measurements of temperature and humidity sensors from a wireless network, weather from a nearby airport station and recorded energy use…
  crossref Pankaj Ramanlal Beldar 2024-03-15T15:06:46Z 置信度 0.70
• Exploring Large Language Model survey papers via Machine and Ensemble Learning
  Nowadays, there is an influx of researchers emphasizing Large Language Models (LLMs). While the field is broadening, it becomes difficult to keep up all the models, and techniques associated with the novel idea. To tackle this problem, a study has been conduct…
  crossref Mehenaz Afrin 2024-10-02T21:01:42Z 置信度 0.70
• Review for "Parsimonious machine learning for the global mapping of aboveground biomass potential"
  crossref 2025-03-20T18:20:01Z 置信度 0.70
• Is BigSMILES the Friend of Polymer Machine Learning?
  Computational methods, particularly machine learning (ML), have significantly advanced the development of innovative polymers across sectors such as aerospace, environmental science, healthcare, and green energy. Traditionally, the Simplified Molecular Input L…
  crossref Haoke Qiu, Zhao-Yan Sun 2024-10-22T07:34:06Z 置信度 0.70
• Principal Component Analysis
  crossref Hang Li 2023-12-06T00:02:11Z 置信度 0.70
• Cryptocurrency Price Prediction Analysis Using Machine Learning Algorithms
  As the importance and relevance of cryptocurrency continue to grow, organizations worldwide are recognizing its benefits and progress is being made at an astounding rate. However, predicting cryptocurrency prices in today's financial market conditions remains …
  crossref Akshat Mishra, Parampreet Kaur 2024-05-17T17:41:36Z 置信度 0.70
• Applying Deep Learning and Computer Vision for Early Diagnosis of Eye Diseases
  Medical image processing has a significant role in clinical investigation and recent medical research. An appropriate image-based medical assessment helps to analyze or detect critical diseases early, as it has a high value of medical information. In this stud…
  crossref Shradha Dubey, Manish Dixit 2024-03-07T14:29:53Z 置信度 0.70
• Extreme Learning Machine Enhanced Remote Sensing Image Classification System
  crossref Nithya Jayakumar, Harihara Prasath B, Gokulnath G, Jayarekha C T 2024-05-21T17:20:38Z 置信度 0.70
• Network Intrusion Detection System Using Machine Learning and Deep Learning
  crossref Pranodnard Viboonsang, Somkiat Kosolsombat 2024-05-21T17:21:02Z 置信度 0.70
• Research and preliminary design of cooking robots
  crossref 2024-06-12T10:11:42Z 置信度 0.70
• MACHINE LEARNING IN PRACTICE: TECHNIQUES FOR VARIED USE
  crossref P. Lalitha Kumari, Venkata Rami Reddy Ch 2024-03-05T16:46:57Z 置信度 0.70
• Front Matter
  crossref 2024-10-25T21:22:56Z 置信度 0.70
• Foreword
  crossref Ajay Kumar 2024-10-15T06:29:03Z 置信度 0.70
• Causal Fairness Analysis: A Causal Toolkit for Fair Machine Learning
  crossref Drago Plečko, Elias Bareinboim 2024-02-04T14:30:20Z 置信度 0.70
• Application of English semantic understanding in multimodal machine learning
  crossref Luo Yun 2025-02-14T18:24:13Z 置信度 0.70
• Tiny Person, Big Impact
  crossref T.S. Moran 2024-11-26T10:11:14Z 置信度 0.70
• History of Quantum Theory and Related Concepts
  crossref 2024-07-12T00:29:50Z 置信度 0.70
• Machine Learning-Enabled Smart Transit: Real-Time Bus Tracking System for Enhanced Urban Mobility
  crossref Nadimpalli Madana Kailash Varma, Md. Irfan Ahmed, G. Madhusudhan, G. Rishab Babu 等 2025-05-23T17:02:44Z 置信度 0.70
• Forecasting Health: Machine Learning Approaches to Disease Prediction
  crossref Nandana Santhosh, Prayag Tushar, Rohan Gilroy Gomez, Devanarayanan V 2024-07-26T09:31:50Z 置信度 0.70
• Adaptive Security in Hybrid Cloud Environments: Leveraging AI and Machine Learning
  crossref Yamini Kannan 2024-07-29T11:39:33Z 置信度 0.70
• Detecting gaze shifts of moving observers in dynamic environments.
  europepmc 2026 置信度 0.80
• Multi class photoplethysmography-based deep model for cardiovascular disease classification.
  europepmc 2026 置信度 0.80
• Image-Based Deep Learning for Cataract Diagnosis: Systematic Review and Meta-Analysis.
  europepmc 2026 置信度 0.80
• CryoPromptSeg: prompt-guided segmentation with integrated denoising for cryo-EM particle picking.
  europepmc 2026 置信度 0.80
• Decoding the Self: Single-Trial Prediction of Self-Boundary Meditation States From Magnetoencephalography Recordings.
  europepmc 2026 置信度 0.80
• Machine learning-based prediction of soiling losses in photovoltaic modules under different cleaning frequencies: an experimental investigation.
  europepmc 2026 置信度 0.80
• Automated heart disease detection using Swin Transformer and ECG signal processing: a high-accuracy approach.
  europepmc 2025 置信度 0.80
• Detecting mangrove seedlings from UAV imagery using deep learning for restoration monitoring.
  europepmc 2025 置信度 0.80
• Quantifying energy and accuracy trade-offs of federated learning on wearable health devices.
  europepmc 2026 置信度 0.80
• Enhancing Academic Trajectories: A Machine Learning Framework for Optimized Student Placement
  In the context of increasing enrollments and concerns over student retention in higher education, this study introduces a machine learning framework designed to optimize student placement in academic programs. Addressing the challenges posed by the surge in st…
  crossref Yashpreet Malhotra 2025-08-28T02:16:23Z 置信度 0.70
• Review for "Machine Learning in Next-Generation AEM Fuel Cells: A Systematic Review"
  crossref 2026-02-07T21:09:45Z 置信度 0.70
• Finding Changes in Transition Probabilities in Reinforcement Learning
  crossref Chang-Hwan Lee 2026-03-25T19:53:58Z 置信度 0.70
• Advanced Persistent Threat Identification in Cloud Infrastructures Using Tensor-Based Machine Learning Approaches
  Advanced Persistent Threats (APTs) pose a significant challenge to cloud infrastructures due to their stealthy, multi-stage attack strategies. This chapter explores the role of tensor-based machine learning approaches in identifying APTs by leveraging the mult…
  crossref S Sreejith Sreekandan Nair, Muralidharan J 2025-06-03T05:22:35Z 置信度 0.70
• Benchmarking universal machine learning interatomic potentials for rapid analysis of inelastic neutron scattering data^*
  Abstract The accurate calculation of phonons and vibrational spectra remains a significant challenge, requiring highly precise evaluations of interatomic forces. Traditional methods based on the quantum description of the electronic structure, while widely use…
  crossref Bowen Han, Yongqiang Cheng 2025-08-11T22:51:25Z 置信度 0.70
• Machine Learning aplicado en la seguridad informática.
  Machine Learning (ML) has become one of the most widely used technologies and tools today; however, its utility and significance are often overlooked. The purpose of this research is to examine how ML is currently being applied in the field of cybersecurity th…
  crossref Raymond Pérez Meza 2025-12-06T05:32:06Z 置信度 0.70
• Machine Learning Techniques for Particle Classification in Microphysics
  crossref Zeyu Yang, Deshui He 2025-03-19T10:06:03Z 置信度 0.70
• Bibliographic Analysis of Machine Learning in Shaping Educational Psychology
  Educational psychology plays a crucial role in enhancing students' learning experiences, academic performance, and personal development by ensuring their mental health. Traditionally reliant on qualitative methods such as interviews and educator assessments, t…
  crossref Yuanzhao Ding 2025-03-05T05:38:46Z 置信度 0.70
• Building a high-resolution machine learning weather model
  After numerous successful applications of machine-learning-based global weather models, a new interesting direction of application is to seek high-resolution regional ML-based models that could complement high resolution numerical models serving day-to-day pur…
  crossref Karolina Stanisławska, Olafur Rognvaldsson 2025-03-15T05:26:19Z 置信度 0.70
• Machine Learning Models for Predicting Creditworthiness Among Informal Sector Entrepreneurs
  crossref Oluwagboyega Emmanuel 2025-12-18T12:52:13Z 置信度 0.70
• Preface
  crossref 2026-02-05T00:05:56Z 置信度 0.70
• A data-to-forecast machine learning system for global weather
  Operational numerical weather prediction (NWP) systems consist of three fundamental components: the global observing system for data collection, data assimilation (DA) for generating initial conditions (referred to as analysis), and the forecasting model to pr…
  crossref Xiuyu Sun 2025-03-14T21:32:56Z 置信度 0.70
• Machine Learning Applications in Biogas and Methane Production: A Bibliometric Analysis
  crossref Rıfat YILDIRIM 2025-01-29T08:42:53Z 置信度 0.70