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• Big Data and Machine Learning for Hybrid Power System—Power Quality
  crossref Namrata Manohar, Mousmi Ajay Chaurasia, Stefan Mozar, Chia-Feng Juang 2025-02-26T12:14:23Z 置信度 0.70
• Bone cancer classification and detection using machine learning technique
  crossref Pawan Whig, Balaram Yadav Kasula, Nikhitha Yathiraju, Anupriya Jain 等 2024-11-22T05:37:15Z 置信度 0.70
• Operationalizing Machine Learning Pipelines Using Azure ML and DevOps
  crossref Sibaram Prasad Panda 2025-06-20T16:42:37Z 置信度 0.70
• Artificial Intelligence and Machine Learning in Spine Research
  crossref 2026-01-02T07:29:01Z 置信度 0.70
• Machine Learning for Optimizing IoT Energy Consumption in Connected Environments
  crossref Gopathy Purushothaman 2025-12-16T22:14:57Z 置信度 0.70
• Review for "Pattern recognition in living cells through the lens of machine learning"
  crossref 2025-07-16T10:12:37Z 置信度 0.70
• References
  crossref 2025-03-17T18:22:56Z 置信度 0.70
• Review for "Leveraging machine learning and accelerometry to classify animal behaviours with uncertainty"
  crossref 2025-12-08T21:11:39Z 置信度 0.70
• Machine Learning for Instrumental Variable Regression: From Bias to Resilience
  crossref Jing Peng 2025-01-08T02:40:56Z 置信度 0.70
• Leveraging Vivino Experts Via Machine Learning
  crossref Sasha Stoikov, Stefano Borzillo, Karl Levy 2025-05-07T13:22:04Z 置信度 0.70
• Machine Learning for Industrial Applications
  crossref Kolla Bhanu Prakash 2024-07-31T08:48:24Z 置信度 0.70
• Machine Learning Based Physical Layer Monitoring
  We review progress on machine learning for physical layer monitoring with a focus on Gaussian progress regression for nonlinear signal-to-noise estimation and amplifier characterization. We also discuss hybrid models to improve interpretability of ML models. F…
  crossref Seb J. Savory 2025-07-07T15:54:35Z 置信度 0.70
• State of Health estimation of Li-ion cells via internal degradation modes identification and physics-informed machine learning
  crossref Quentin Bigouraux, Vincent Heiries, Saifeddine Aloui, Antoine Laurin 等 2026-04-07T19:54:58Z 置信度 0.70
• Survey of neural network optimization methods for sustainable AI: From data preprocessing to hardware acceleration
  crossref Omar Ghoneim, Petr Dobias, Olivier Romain 2025-10-22T11:02:45Z 置信度 0.70
• Integrating Explainable Machine Learning (XAI) in Stroke Medicine: Opportunities and Challenges for Early Diagnosis and Prevention
  crossref V. Shobana, S. Maheshwari, M. Savithri, Siva Shankar Ramasamy 等 2025-04-25T17:38:13Z 置信度 0.70
• Hardware–Software Co-Design for Real-Time Latency–Accuracy Navigation in Tiny Machine Learning Applications
  crossref Payman Behnam, Jianming Tong, Alind Khare, Yangyu Chen 等 2023-09-20T17:44:30Z 置信度 0.70
• The Role of IoT and Machine Learning in Automating Space Docking: Challenges, Advancements, and Future Prospects
  crossref Nayan Jikar, Yash Tale, Abhay Tale, Aditya Barhate 等 2025-04-25T17:38:13Z 置信度 0.70
• Machine-learning emergent spacetime from linear response in future tabletop quantum gravity experiments
  Abstract We introduce a novel interpretable neural network (NN) model designed to perform precision bulk reconstruction under the AdS/CFT correspondence. According to the correspondence, a specific condensed matter system on a ring is holographically equivalen…
  crossref Koji Hashimoto, Koshiro Matsuo, Masaki Murata, Gakuto Ogiwara 等 2025-01-30T23:01:21Z 置信度 0.70
• Early Detection of Diabetes With Different Machine Learning Approach
  Early detection of diabetes is critical for effective management and prevention of complications[1]. This study leverages DiaBD[2] dataset to develop a machine learning approach for predicting diabetes status, utilizing clinical data from approximately 5,288 i…
  crossref Md. Shohan Arafat 2025-08-26T19:28:16Z 置信度 0.70
• Unsupervised Machine Learning Models for Focused Target Customer Segmentation
  This research investigates novel methods for customer segmentation using advanced machine learning models. As digital marketing rapidly expands, accurately identifying target segments is crucial for optimizing campaign reach and enhancing return on investment …
  crossref Blessington Naveen Palaparthi 2025-05-07T13:07:12Z 置信度 0.70
• Machine Learning‐Enhanced Plant Disease Detection and Management
  crossref Lellapalli Rithesh, Sucharita Mohapatra, Shimi Jose, Juel Debnath 等 2025-11-14T20:08:44Z 置信度 0.70
• A Review on Machine Learning in Environmental Engineering
  crossref Vamsi Krishna Kudapa, Patchamatla J. Rama Raju, Arbind Ghataney, Nageswara Rao Lakkimsetty 2025-09-12T21:20:48Z 置信度 0.70
• Also of Interest
  crossref 2025-06-07T09:48:56Z 置信度 0.70
• Appendices
  crossref 2025-09-04T01:52:31Z 置信度 0.70
• Scalable Fake Review Detection: Leveraging Machine Learning for Trustworthy Online Platforms
  crossref Neetu Bala, Anwesha Choudhury, Aditi Raj, Himanshu Poonia 2025-06-27T17:42:05Z 置信度 0.70
• From Data to Diagnosis: A Review of Machine Learning Models for Postpartum Depression Prediction
  crossref Sreeji S, Shirley C P 2025-06-27T17:42:05Z 置信度 0.70
• Last-Mile Route Optimization Using Genetic Algorithm, Integer Programming, and Machine Learning-Based Clustering and Cost Estimation Models
  crossref Afia Yeboah, Deo Chimba, Jeannine Mbabazi, Sandeep Bist 2026-03-25T19:53:58Z 置信度 0.70
• An analysis of IoT and machine learning–enabled smart grids for sustainable and future–pro energy management
  crossref S. Vedhanayaki, R. Elakkiya, R. Selvamathi, V. Subramaniyaswamy 等 2024-11-15T04:55:38Z 置信度 0.70
• Learning to Communicate in Multi-Agent Reinforcement Learning for Autonomous Cyber Defence
  crossref Faizan Contractor, Li Li, Ranwa Al Mallah 2025-12-15T18:36:24Z 置信度 0.70
• Human-Centered Machine Learning
  crossref Corinne Schillizzi 2025-08-13T02:50:46Z 置信度 0.70
• Risk and compliance analytics using machine learning
  Risk is an essential concept in all walks of life. All decisions contain an inherent level of risk. One can choose to be exposed to and exploit risk or choose to avoid risk and thus (presumably) yield lower expected returns. However, both the risk-averse and r…
  crossref Pallav Kumar Kaulwar 2025-05-16T07:22:59Z 置信度 0.70
• Preface
  crossref Jamal Amani Rad, Snehashish Chakraverty, Kourosh Parand 2025-02-28T20:45:39Z 置信度 0.70
• Evaluating Emerging Machine Learning and Multiple Imputation Methods for Estimating Individual Treatment Effects
  crossref Sangbaek Park 2025-08-11T14:00:38Z 置信度 0.70
• Time Series
  crossref 2025-03-30T22:13:40Z 置信度 0.70
• Title Page iii
  crossref 2026-03-25T19:53:58Z 置信度 0.70
• Data Comprehension
  crossref 2025-03-30T22:13:40Z 置信度 0.70
• Green Supply Chain Management in the Constrained Economy: Artificial Intelligence and Machine Learning
  crossref 2025-03-11T18:42:06Z 置信度 0.70
• Wireless Communications and Machine Learning
  This focused textbook demonstrates cutting-edge concepts at the intersection of machine learning (ML) and wireless communications, providing students with a deep and insightful understanding of this emerging field. It introduces students to a broad array of ML…
  crossref Le Liang, Shi Jin, Hao Ye, Geoffrey Ye Li 2025-10-21T00:05:29Z 置信度 0.70
• Active deep kernel learning of molecular properties from structural embeddings
  As vast databases of chemical identities become increasingly available, the challenge shifts to how we effectively explore and leverage these resources to study molecular properties. This paper presents an active learning approach for molecular discovery using…
  crossref Ayana Ghosh, Maxim Ziatdinov, Sergei V. Kalinin 2025-10-22T13:06:44Z 置信度 0.70
• Adversarial Robustness
  crossref Fengxiang He, Dacheng Tao 2025-02-01T15:16:51Z 置信度 0.70
• Predictive Modeling of Multilink Delay in Avionic Networks: A Machine Learning Approach for Enhanced Communication Reliability
  crossref Samaneh Poostforoushan, Giovanni Nardini, Giovanni Stea 2025-09-03T17:49:08Z 置信度 0.70
• Two-stage machine learning for efficient network intrusion detection in software defined networks
  crossref Perekebode Amangele, Shakeel Ahmad, Mays Al-Naday, Nikolaos Thomos 等 2025-09-03T17:49:08Z 置信度 0.70
• Machine learning technique for breast cancer detection and classification
  crossref N. Kavitha, P. Madhumathy, R. Manjunatha Prasad, D. N. Chandrappa 2025-04-05T15:24:27Z 置信度 0.70
• Intelligent underwriting: applying machine learning to risk assessment
  Intelligent underwriting (IU) is a new, specialized area of work in the smart insurance space that seeks to harness the latest advancements in artificial intelligence (AI) and machine learning (ML) to deliver near-term rewards for the global insurance communit…
  crossref Balaji Adusupalli 2025-05-16T09:44:07Z 置信度 0.70
• Data Extraction
  crossref 2025-03-30T22:13:40Z 置信度 0.70
• Table of Contents
  crossref 2026-03-25T19:53:58Z 置信度 0.70
• Wildeye: Wildlife Surveillance and Alert System using Deep Learning
  crossref Urmela S, Santhiya M 2025-04-25T17:38:13Z 置信度 0.70
• Prediction of Airline Passenger Satisfaction Using Machine Learning and Deep Learning Approaches
  crossref Sena Bilgin 2025-10-30T17:57:40Z 置信度 0.70
• Saudi Stock Market Prediction Using Machine Learning and Deep Learning
  crossref Raid Mohsen Alhazmi 2025-05-21T17:36:26Z 置信度 0.70
• Revolutionizing Healthcare through Artificial Intelligence: The role of Machine Learning, Deep Learning and NLP in transforming Patient Care
  Fast paced globalization engendered the requirement of smart and rapid healthcare solutions. These developments have significantly enhanced the diagnosis, management, and treatment of diseases, leading to better patient outcomes and a higher standard of living…
  crossref Jayandrath Mangrolia 2025-05-16T05:11:11Z 置信度 0.70
• Machine Learning based Prediction of Parkinson's Diseases
  crossref Arockiya Selvi S, T. Kamalakannan 2025-03-28T02:32:33Z 置信度 0.70
• Machine Learning and Python for Deep Learning in Public Health Surveillance
  The rapid evolution of artificial intelligence (AI) has significantly transformed public health surveillance, particularly through the application of machine learning (ML) and deep learning techniques. Traditional surveillance systems, which rely on manual rep…
  crossref Sanimgul Sambayeva 2026-05-23T09:00:10Z 置信度 0.70
• Operations and Supply Chain Management: An Integrated Approach
  crossref 2025-06-29T07:01:58Z 置信度 0.70
• Table of Contents
  crossref 2025-10-21T17:07:16Z 置信度 0.70
• Regression
  crossref A. C. Faul 2025-03-25T02:29:52Z 置信度 0.70
• Understanding Patenting Disparities via Causal Human+Machine Learning
  crossref Lin William Cong, Stephen Yang 2025-09-08T23:31:53Z 置信度 0.70
• Index
  crossref 2025-03-17T18:22:56Z 置信度 0.70
• Capturing Excited State Proton Transfer Dynamics with Reactive Machine Learning Potentials
  Excited state proton transfer is a fundamental process in photochemistry, playing a crucial role in fluorescence sensing, bioimaging, and optoelectronic applications. However, fully resolving its dynamics remains challenging due to the prohibitive computationa…
  crossref Umberto Raucci 2025-04-25T05:26:11Z 置信度 0.70
• Leveraging GenAI for Machine Learning Education in Public Health
  crossref Ricky Leung 2025-11-10T19:26:48Z 置信度 0.70
• Research on Image Classification Based on Deep Learning
  crossref Kaiyuan Ran 2026-01-19T20:53:06Z 置信度 0.70
• A Brief Study on Methods of Preparing Data for Machine Learning Models
  crossref M. Chandra Pal, Abhishek Dubey, Regula Thirupathi, Mohammed Ghouse Haneef Maqsood 等 2025-09-12T21:20:48Z 置信度 0.70
• Identification of paget disease in the human body using artificial intelligence and machine learning
  crossref Palvi Sharma, Rakesh Kumar, Meenu Gupta 2024-11-22T05:37:11Z 置信度 0.70
• A Configurable Intrinsic Curiosity Module for a Testbed for Developing Intelligent Swarm UAVs
  crossref Jawad Mahmood, Muhammad Adil Raja, John Loane, Fergal McCaffery 2025-08-04T08:43:24Z 置信度 0.70
• Sentiment Analysis of Mobile Legends: Bang Bang User Reviews Using Machine Learning Models
  crossref Nafiatun Sholihah, Bima Pramudya Asaddulloh, Afrig Aminuddin, Jeeva Ekanayake 等 2025-07-22T18:00:49Z 置信度 0.70
• Smart Air and Water Quality Monitoring for Industrial Emissions using IoT and Machine Learning
  crossref Ms. R. Ramya, Mr. S. Amithesh Sharavan, Ms. S. Asfiya Taj, Mr. D. Kaviyarasan 2025-04-25T17:38:13Z 置信度 0.70
• Robustness of Machine Learning Based Compression
  crossref Fahad Hasan, Thomas Richter 2025-05-20T17:05:48Z 置信度 0.70
• Title Page i
  crossref 2026-03-25T19:53:58Z 置信度 0.70
• Title Page i
  crossref 2025-07-23T18:33:43Z 置信度 0.70
• Author Index
  crossref 2026-01-14T20:39:11Z 置信度 0.70
• Table of Contents
  crossref 2026-02-23T20:45:29Z 置信度 0.70
• Evaluation of Crime rate Prediction Using Machine Learning and Deep Learning for GRA Method
  Predicting crime rates using machine learning and deep learning techniques Various factors analysing an inclusive one a complex task. can influence criminal activity. Here's a general outline of how you could approach this problem: Data Collection: Gather hist…
  crossref 2025-03-15T09:44:52Z 置信度 0.70
• Enhanced Contrastive Learning with Local Calibration for Recommendation
  crossref Yao Tao, Rong Gao 2026-01-20T20:38:44Z 置信度 0.70
• Interactive Visual Learning in Machine Learning: A Cognitive Learning Theories-Driven Approach
  crossref Areej Alatawi, Ebru Burcu, Dimitris Kalogiros, Jesús Requena Carrión 2025-06-03T17:42:47Z 置信度 0.70
• Machine learning
  crossref 2012-08-08T15:35:08Z 置信度 0.70
• SensOL: Memory-Efficient Online Learning for Tiny MCUs
  crossref Lokmane Demagh, Patrick Garda, Cedric Gilbert, Khalil Hachicha 2024-12-17T19:07:24Z 置信度 0.70
• Analyst vs. Machine Learning in Implied Cost of Capital Estimations
  crossref Minghui Chen 2025-09-17T18:14:29Z 置信度 0.70
• Machine Learning-Based Anomaly Detection for Proactive Cloud Threat Mitigation
  crossref Santhosh Chitraju 2025-10-29T18:39:04Z 置信度 0.70
• An Analytics Framework for Healthcare Expenditure Forecasting with Machine Learning
  crossref zhongxian wang 2025-10-03T18:04:06Z 置信度 0.70
• Machine Learning Predicts Liquid–Gas Transition
  crossref Mark Buchanan 2025-02-20T09:10:35Z 置信度 0.70
• Modeling Urban Heat Island Intensity Using Satellite Imagery and Machine Learning
  The Urban Heat Island (UHI) effect, a phenomenon in which urban regions exhibit higher temperatures than the surrounding rural areas, is creating growing environmental and public health challenges in the context of global climate change. This study aims to eva…
  crossref Rohit Ramesh 2025-07-14T00:55:21Z 置信度 0.70
• Resilient Privacy Preserving Machine Learning for Internet of Things
  The rapid development of the Internet of Things (IoT) presents new challenges (such as privacy concerns) to existing data analytics frameworks deployed in IoT-based applications. Federated learning (FL), a type of distributed and privacy-preserving learning fr…
  crossref Kun Yang, Neena Imam 2025-04-28T15:42:57Z 置信度 0.70
• Intelligent Resource Allocation Optimization For Cloud Computing Via Machine Learning
  crossref Yuqing Wang 2025-04-30T09:14:25Z 置信度 0.70
• Inferential Machine Learning: Towards Human-collaborative Foundation Models
  Neural network driven applications like ChatGPT suffer from hallucinations where they confidently provide inaccurate information. A funda- mental reason for this inaccuracy is the feed-forward nature of inductive decisions taken by neural networks. Such decisi…
  crossref Ghassan AlRegib 2025-03-18T06:23:26Z 置信度 0.70
• DeepAesthetics
  crossref ANNA MUNSTER 2025-03-31T16:20:14Z 置信度 0.70
• Automated machine learning for positive-unlabelled learning
  Abstract Positive-Unlabelled (PU) learning is a field of machine learning that aims to learn classifiers from data consisting of labelled positive and unlabelled instances, which can be in reality positive or negative, but whose label is unknown. Many PU learn…
  crossref Jack D. Saunders, Alex A. Freitas 2025-07-16T12:03:16Z 置信度 0.70
• Revisiting the Renaissance gaze through the eyes of machine learning
  Cultural attractor theory proposes that recurrent psychological biases shape the persistence and transformation of cultural traditions. Portraiture offers a unique test case, embedding perceptual cues that reflect both individual choices and collective convent…
  crossref Masaki Suyama 2025-09-20T19:05:34Z 置信度 0.70
• Neural-network quantum states
  crossref 2025-06-13T00:05:29Z 置信度 0.70
• Review for "Point+Gaussian Charge Model for Electrostatic Interactions Derived by Machine Learning"
  crossref 2025-06-13T17:05:52Z 置信度 0.70
• Review for "Construction of Predictive Machine Learning Model of Glioma‐Associated Gut Microbiota"
  crossref 2025-10-01T00:13:47Z 置信度 0.70
• Review: Modelling suspended sediment concentration in coastal Ireland using machine learning — R1/PR7
  crossref 2025-11-26T08:04:36Z 置信度 0.70
• Fraud Detection Pipeline Using Machine Learning: Methods, Applications, and Future Directions
  The prevalence of fraudulent activities in various sectors such as finance, healthcare, and e-commerce has necessitated the development of robust fraud detection systems. This review article presents a comprehensive examination of the current state-of-the-art …
  crossref Arimondo Scrivano 2025-07-04T13:02:45Z 置信度 0.70
• Data-Driven Approaches and Machine Learning Frameworks for Academic Performance Analysis
  Academic performance evaluation has transformed through the adoption of data-driven methodologies and machine learning frameworks, enabling precise, predictive, and actionable insights. The integration of structured and unstructured educational data from learn…
  crossref Kharmega Sundararaj G, Joshua Bapu J 2025-10-30T09:41:08Z 置信度 0.70
• Machine Learning-Aided ISAC with OTFS for 6G
  crossref Lianet Méndez-Monsanto Suárez, Kun Chen-Hu, María Julia Fernández-Getino García, Ana García Armada 2025-09-03T17:49:08Z 置信度 0.70
• Conclusion: Leveraging Artificial Intelligence and Machine Learning to Improve Cybersecurity Protocols
  crossref Richard Gwashy Young 2025-10-31T22:41:47Z 置信度 0.70
• Machine Learning in Research and Practice: A Multidisciplinary Perspective
  This book presents a multidisciplinary exploration of machine learning techniques, frameworks, and applications across diverse real-world domains. Beginning with foundational concepts of supervised, unsupervised, and reinforcement learning, the chapters progre…
  crossref 2025-09-23T14:46:32Z 置信度 0.70
• Diagnosing Musculoskeletal Conditions using Artifical Intelligence and Machine Learning to Aid Interpretation of Clinical Imaging
  crossref 2024-11-22T05:18:15Z 置信度 0.70
• The Artificial Intelligence and Machine Learning Blueprint: Foundations, Frameworks, and Real-World Applications
  In the current era of data-centric transformation, Artificial Intelligence (AI) and Machine Learning (ML) are influencing organizational strategies and operations. The AI and Machine Learning Blueprint serves as a guide connecting academic concepts with indust…
  crossref Priyambada Swain 2025-08-16T09:10:06Z 置信度 0.70
• Machine learning for NeuroImaging data analysis
  crossref Bertrand Thirion 2024-06-05T17:33:35Z 置信度 0.70
• KNOWLEDGE REPRESENTATION
  The demand for effective Knowledge Representation has surged alongside the rise of smart technologies. This process encompasses gathering data, conveying information, and accessing accurate knowledge. It's evident that a straightforward and lucid representatio…
  crossref Husnara khan, Daljeet Kaur 2025-09-18T06:24:10Z 置信度 0.70
• Ensemble Methods
  crossref 2025-03-30T22:13:40Z 置信度 0.70