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• Review of: "Enhancing Project Performance Forecasting using Machine Learning Techniques"
  crossref Chandrasekar Rohith Bhat 2025-01-20T03:13:45Z 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
• Prediction of Youth Political Involvement in Bangladesh through Social Media: A Machine Learning Perspective
  crossref Sajjadul Islam Somon, Peyal Sarker, Intisar Ilham, Md. Ahsanur Rahman 2025-09-17T17:29:46Z 置信度 0.70
• Machine Learning Techniques for Wastewater Treatment and Water Purification
  crossref Swarnadeep Saha, Protyasha Kundu, Sumanta Banerjee, Anindita Kundu 2025-09-12T21:20:48Z 置信度 0.70
• Machine Learning Algorithm Comparison with Class Imbalance Handling for Sentiment Analysis Satusehat Application Reviews on Play Store
  crossref Yulia Ery Kurniawati, Muhammad Fakhri Ardhiyan Firdaus, Tota Pirdo Kasih 2025-07-22T18:00:49Z 置信度 0.70
• Review for "Point defect formation at finite temperatures with machine-learning force fields"
  crossref 2025-04-10T00:11:06Z 置信度 0.70
• Revolutionizing Healthcare: The Role of Machine Learning in Health IT
  crossref Elevane Dave 2025-01-27T22:36:59Z 置信度 0.70
• Review for "Point defect formation at finite temperatures with machine-learning force fields"
  crossref 2025-04-10T00:11:06Z 置信度 0.70
• Review for "Adaptive DNA Cryptography With Intelligent Machine Learning for Cloud Data Defense"
  crossref 2025-09-30T23:37:33Z 置信度 0.70
• Review for "Pathogenic Bacteria Characterization through Portable Optical Scatter Device and Machine Learning"
  crossref 2025-10-01T21:13:15Z 置信度 0.70
• Cost-Sensitive Machine Learning for Reducing Customer Attrition in Financial Markets
  crossref Arthur Thopmson 2025-06-27T11:51:52Z 置信度 0.70
• Automated Machine Learning in the Biological and Medical Healthcare Industries
  crossref Iram Fatima, Naved Ahmed, Mehtab Alam, Ihtiram Raza Khan 等 2025-07-25T21:17:31Z 置信度 0.70
• Time series modeling of Monkeypox incidence in Central Africa’s endemic regions
  crossref Chidozie Williams Chukwu, George Obaido, Ibomoiye Domor Mienye, Kehinde Aruleba 等 2025-11-01T15:56:45Z 置信度 0.70
• Machine learning for cyber-attack detection in IoT networks: an overview
  crossref Bui Duc Manh, Nguyen Quang Hieu, Dinh Thai Hoang, Diep N. Nguyen 等 2025-06-02T07:56:02Z 置信度 0.70
• Evaluation of uncertainty estimations for Gaussian process regression based machine learning interatomic potentials
  Abstract Uncertainty estimations for machine learning interatomic potentials (MLIPs) are crucial for quantifying model error and identifying informative training samples in active learning (AL) strategies. In this study, we evaluate uncertainty estimations of …
  crossref Matthias Holzenkamp, Dongyu Lyu, Ulrich Kleinekathöfer, Peter Zaspel 2025-09-22T22:52:23Z 置信度 0.70
• A Systematic Analysis of Machine and Deep Learning Frameworks for Human Resource Attrition Dataset
  crossref G. Ramani, Lakshmi Praba V 2025-06-27T17:42:05Z 置信度 0.70
• Machine Learning Based Optimization of Multiband LPDA Antenna for Wireless Applications
  crossref Md Mohidul Alam, Kallol Mondal, Md Samsuzzaman, Md Abdul Masud 等 2025-09-17T17:29:46Z 置信度 0.70
• Advancing Healthcare with Machine Learning: Current Insights and Future Prospects
  crossref Sivudu Macherla 2025-04-25T12:12:38Z 置信度 0.70
• Introduction
  Abstract The introductory chapter discusses the cultural differences between econometrics and machine learning (ML) through three main angles: their objectives, their approaches to building models, and the role of data. It hints at their potential complementar…
  crossref Christophe Gaillac, Jérémy L'Hour 2025-05-15T07:34:57Z 置信度 0.70
• Understanding Patenting Disparities via Causal Human+Machine Learning
  crossref Lin Cong, Stephen Yang 2025-04-24T10:23:42Z 置信度 0.70
• Index
  crossref 2026-02-05T00:05:56Z 置信度 0.70
• Review for "Adaptive DNA Cryptography With Intelligent Machine Learning for Cloud Data Defense"
  crossref 2025-09-30T23:37:33Z 置信度 0.70
• Review for "Machine Learning Quantifies Fine‐Scale Hairiness in Shore Flies (Diptera: Ephydridae)"
  crossref 2025-10-14T21:14:28Z 置信度 0.70
• Machine Learning for Network Traffic Classification in Software-Defined Networks
  Software-Defined Networks' (SDNs') quick development has given network administration previously unheard-of flexibility and programmability. But there are also serious difficulties in efficiently controlling and safeguarding network traffic because of this fle…
  crossref Ravikumar Perumallaplli 2025-05-06T16:05:22Z 置信度 0.70
• The Global Landscape of Technology-assisted English Language Teaching Research: A Bibliometric Analysis
  The purpose of this study is to provide a comprehensive overview of the development and notable patterns in the field of Technology-Assisted English Language Teaching (TAELT) research by conducting a bibliometric analysis of the domain. Author productivity, ci…
  crossref Sara S. Alnakeeb, Eslam Hossam, Ramy Aldallal, Omega John Unogwu 等 2025-03-29T17:57:27Z 置信度 0.70
• IOT AND MACHINE LEARNING BASED EFFECTIVE AGRICULTURE WITH REAL TIME PREDICTION
  This paper implementation of an AI-based smart sprinkler system for automated irrigation and fertilization, integrated with capabilities. The system utilizes deep learning algorithms for the early detection of plant diseases through analysis of leaf images. Up…
  crossref S Kalaivany, R Gajendiran, K Loganathan, S Sathiya 等 2025-07-08T01:35:21Z 置信度 0.70
• Editorial: Here to bridging tradition and innovation: a prelude to the <i>Journal of Machine Learning and Data Science in Geotechnics</i>
  crossref Mohammad Rezania 2025-04-25T04:22:25Z 置信度 0.70
• Classification
  crossref 2025-02-22T00:05:26Z 置信度 0.70
• Machine Learning and the Carbon Cycle: Chasing the Holy Grail
  Over the past two decades, machine learning (ML) has become a key tool in carbon cycle research, offering new methods to quantify fluxes, map carbon stocks and turnover, and disentangle processes like photosynthesis and respiration. Early efforts with classica…
  crossref Markus Reichstein 2025-03-15T04:22:26Z 置信度 0.70
• Review for "Same data, different results? Machine learning approaches in bioacoustics"
  crossref 2025-09-30T23:58:17Z 置信度 0.70
• Review for "Supervised Machine Learning for Predicting Drug Release from Acetalated Dextran Nanofibers"
  crossref 2025-03-30T03:42:37Z 置信度 0.70
• Secure Communication Protocols for Software-Defined Vehicles:A Machine Learning Approach
  Software-defined networking, sometimes known as SDN for short, is an intriguing method of networking that combines centralized management with network programming. When software-defined networking (SDN) is utilized, the control plane and the data plane are sep…
  crossref Venkata Lakshmi Namburi 2025-03-11T15:50:32Z 置信度 0.70
• Review for "Applications of flexible materials in health management assisted by machine learning"
  crossref 2025-06-30T17:04:57Z 置信度 0.70
• Machine Learning for Predictive Analytics: Trends and Future Directions
  Machine Learning has become an integral part of predictive analysis, empowering organizations to identify and analyze trends, uncover patterns, and make data-driven decisions across diverse domains. This review explores the evolution of machine learning proced…
  crossref Ruhul Quddus Majumder 2025-05-28T14:25:30Z 置信度 0.70
• Using Machine Learning to Detect Financial Fraud in Corporate Filings
  Financial fraud remains a prominent concern to regulators, investors, and companies since it undermines confidence and destabilizes the markets. While traditional fraud detection methods mainly rely on audits, whistleblower complaints, and financial ratio anal…
  crossref Paru Acharya 2025-04-09T13:35:56Z 置信度 0.70
• Leveraging AI and Machine Learning for Enhanced Cloud Migration Efficiency
  crossref Mallikarjun Gannavaram 2025-02-10T12:53:22Z 置信度 0.70
• Advances in Healthcare using Machine Learning
  crossref Sriparna Saha, Lidia Ghosh 2025-10-10T07:38:51Z 置信度 0.70
• Authors
  crossref Christophe Gaillac, Jérémy L'Hour 2025-05-15T07:34:57Z 置信度 0.70
• Machine Learning for Enhanced Portfolio Stability: Entropy and Clustering Insights
  crossref William Smyth 2025-06-13T19:32:32Z 置信度 0.70
• MLMD: Machine Learning Velocities to Propagate Molecular Dynamics Simulations
  Temporal evolution in molecular dynamics (MD) simulations requires updates on particle velocities. These updates are obtained from forces that are computed traditionally from physics-based Hamiltonians, and more recently from machine-learned (ML) numerical for…
  crossref Guy Dayhoff, Sameer Varma 2025-05-05T04:25:47Z 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
• Bridging the Markets: Machine Learning Insights into Cross-Market Dynamics
  crossref Kanak Dahal 2025-06-24T20:18:06Z 置信度 0.70
• Architects of Attention: Mapping the Hidden Infrastructures of Machine-Mediated Learning
  This study provides a systematic review of the evolving role of tutoring technologies-specifically Intelligent Tutoring Systems (ITS) and Robot Tutoring Systems (RTS)-in addressing global educational challenges through advanced computational and interactive me…
  crossref Yu Ji 2025-12-04T17:55:11Z 置信度 0.70
• Corporate Sustainability Data and Machine Learning
  crossref Christian Haas, Ulf Moslener, Sebastian Rink 2025-12-12T11:58:24Z 置信度 0.70
• Machine Learning-Based Sentiment Index for China's Interbank Money Market
  crossref Yuqing Zhang 2025-05-28T21:20:12Z 置信度 0.70
• Review for "Point defect formation at finite temperatures with machine-learning force fields"
  crossref 2025-04-10T00:11:06Z 置信度 0.70
• MACHINE LEARNING MODELS FOR SUSTAINABILITY TRACKING IN SAP-BASED MANUFACTURING
  This paper surveys the application of machine learning models for sustainability tracking in SAP-based manufacturing environments. With increasing global emphasis on sustainability, manufacturing industries face the challenge of optimizing resource usage, mini…
  crossref Ravikumar Perumallaplli 2025-05-06T16:05:25Z 置信度 0.70
• Convolutional Neural Networks
  crossref Sanad Aburass, Ibrahim Aljarah 2026-07-30T08:23:57Z 置信度 0.70
• PDF [DOWNLOAD] The Tiny Things are Heavier by Esther Ifesinachi Okonkwo on Iphone
  crossref Donna Morales 2026-05-01T16:01:12Z 置信度 0.70
• Design and Application of Intelligent Online Learning System Based on Machine Learning Algorithm
  crossref Xiaobo Wang 2026-05-30T07:33:17Z 置信度 0.70
• Unsupervised Learning Techniques
  crossref Abdelrahim Al Aqqad 2026-07-16T06:54:39Z 置信度 0.70
• Introduction
  crossref 2026-03-10T08:53:34Z 置信度 0.70
• Simulation and Machine Learning-Assisted Optimization of X-ray Detector Circuit for Noise Reduction
  This paper presents a hybrid methodology combining circuit simulation, modelling and machine learning (ML) for optimizing X-ray detector front-end electronics. The said circuit consists of a PIN photodiode-based charge-sensitive preamplifier (CSP), and leverag…
  crossref Aleksandra Dimković 2026-04-23T08:08:50Z 置信度 0.70
• Recurrent Neural Networks
  crossref Sanad Aburass, Ibrahim Aljarah 2026-07-30T08:24:12Z 置信度 0.70
• Testing of machine learning wavefront sensing algorithms on the Tiny Observatory for Telescope Optimization (TOTO) testbed
  crossref Sanchit Sabhlok, Solvay A. Blomquist, Maggie Y. Kautz, Debstuti Biswas 等 2026-07-02T22:15:37Z 置信度 0.70
• Bayesian and Machine Learning Approaches to the Classification Problem
  Abstract Background: Classification problems are fundamental in statistical learning and arise in numerous fields such as healthcare, finance, and environmental sciences. Traditional statistical models provide interpretable parameter estimates but may struggle…
  crossref Romuald Daniel BOY-NGBOGBELE 2026-05-07T06:56:54Z 置信度 0.70
• Intelligent Power System Management Based on Machine Learning Technology
  Abstract This scholarly article delineates a novel approach for forecasting wind power load. The proposed methodology bifurcates the forecasting challenge into two principal sub-problems: the sequence modeling of temporal dynamic attributes and the nonlinear m…
  crossref Jie Wu, Hanyuan Li 2026-02-05T17:46:43Z 置信度 0.70
• Multi-Model Machine Learning Identifies MAPT, CHEK1, AURKA as Breast Cancer Prognostic Markers
  crossref Jasmine Chan 2026-06-07T09:17:58Z 置信度 0.70
• Machine Learning for Data-Centric Geotechnics
  crossref Kok-Kwang Phoon, Chong Tang, Zi-Jun Cao 2026-07-30T18:37:51Z 置信度 0.70
• Machine Learning Based Assessment of Landscape Dynamics and Land Surface Temperature
  crossref T. V. Ramachandra, T. R. Chandana, Tulika Mondal 2026-01-12T08:30:22Z 置信度 0.70
• Variance-Controlled Stacked Hybrid Ensemble of Deep State Space Modeling and Gradient Boosting for Remaining Useful Life Prediction in Aerospace Prognostics
  crossref P. Vaishnavi, P. Yogasrinithi, E. Elakiya, C. Christopher Columbus 2026-07-25T15:41:31Z 置信度 0.70
• Machine Learning Use Cases for Predicting Mine Material Characteristics
  ABSTRACT: Multivariate and high-frequency data collected during the mine project life cycle such as drill core bulk chemical assay and vibrating wire piezometer (VWP) measurements can be used as proxy to predict mine material properties (e.g., strength classif…
  crossref T.M. Meuzelaar, D.M. Warren 2026-07-16T04:44:24Z 置信度 0.70
• Machine Learning-Based Estimation of SPT-N Values from CPT Measurements
  crossref Vahidreza Mahmoudabadi, Milad Fatehnia 2026-03-05T14:48:03Z 置信度 0.70
• Drive-Safe: Smart Braking Against Neutral Danger Using A Machine Learning Approach
  Road safety is essential. Some reasons for road safety breaches include keeping the vehicle in neutral mode, using a manual braking system, driver drowsiness, and uncontrollable vehicle speed. Any technological development that enhances road safety is utterly …
  crossref Jyoti Kanjalkar, Pramod Kanjalkar, Suyash Chandolikar, Swayam Chandak 等 2026-05-13T05:08:26Z 置信度 0.70
• A market sentiment analytics framework for intelligent manufacturing decision support: Evidence from special-purpose vehicles
  crossref Enming Zhang, Chanjuan Zhang, Yeye Chen 2026-04-26T14:49:38Z 置信度 0.70
• FUADroid: android malware detection with multi-view API feature fusion using machine learning
  crossref Jiyun Yang, Fan Mei, Zhengdong Wan, Xintong Cai 等 2026-07-22T07:07:31Z 置信度 0.70
• Index
  crossref 2026-05-22T21:19:27Z 置信度 0.70
• Hierarchical Clustering: Building a Tree From the Data
  crossref Weisheng Jiang 2026-07-31T10:55:03Z 置信度 0.70
• Segmentation and Tracking of Eruptive Solar Phenomena With Convolutional Neural Networks
  Abstract Solar eruptive events are complex phenomena, which most often include coronal mass ejections (CME), CME‐driven compressive and shock waves, flares, and filament eruptions. CMEs are large eruptions of magnetized plasma from the Sun's outer atmosphere o…
  crossref Oleg Stepanyuk, Kamen Kozarev 2026-02-03T11:41:23Z 置信度 0.70
• Prediction of Daily Egg-Laying in Japanese Quails Using Machine Learning
  crossref Kemal ESKİOĞLU, Berkant İsmail YILDIZ, Demir ÖZDEMİR, Mustafa AKŞİT 2026-06-25T07:22:39Z 置信度 0.70
• Machine Learning Model for Early Detection of Autism Spectrum Disorder (ASD) During Childhood
  crossref Paolo Adriano Edmundo Loro Ramirez, Angelo Chipulina Meza, Pedro Castañeda, Juan Mansilla Lopez 等 2026-08-10T19:12:46Z 置信度 0.70
• Improving English Machine Translation via Adversarial Transfer Learning–Based Domain Adaptation
  Abstract This paper investigates the application of adversarial transfer learning in domain-adaptive English machine translation. The approach employs adversarial training to align source and target domain feature spaces, thereby enhancing translation quality …
  crossref Tingting Hou 2026-01-20T10:25:22Z 置信度 0.70
• Glossary
  crossref 2026-07-26T00:05:30Z 置信度 0.70
• Benchmarking Machine Learning and Generative AI Paradigms for Automated Test Case Design From Industrial Requirements
  crossref Ibrahim ElSamman, Mohamed Safy 2026-07-07T19:42:03Z 置信度 0.70
• Nonlinear Dynamics and Chaos: A Primer
  crossref 2026-06-17T03:29:03Z 置信度 0.70
• Machine Learning for Clinical Pattern Discovery
  crossref Triveni Kolla 2026-04-15T10:14:24Z 置信度 0.70
• Introduction
  This chapter begins by motivating the need for more precise and resource-efficient irrigation scheduling in the face of growing freshwater scarcity. It highlights the inefficiencies associated with conventional open-loop irrigation practices and advocates for …
  crossref 2026-03-08T14:03:28Z 置信度 0.70
• Index
  crossref 2026-03-08T14:03:28Z 置信度 0.70
• Machine Learning Integrated Mathematical Modeling of Heatwave-Related Mortality: an LSTM–Random Forest Hybrid Model for Urban Indian Cities
  crossref 2026-08-12T09:34:21Z 置信度 0.70
• Applications of Artificial Intelligence and Machine Learning
  crossref 2026-02-05T03:14:52Z 置信度 0.70
• BACK MATTER
  crossref 2026-07-02T03:45:58Z 置信度 0.70
• Overfitting and Underfitting
  crossref Yinglin Xia, Jun Sun 2026-01-17T03:25:26Z 置信度 0.70
• Machine Learning-Based Financial Distress Prediction: Evidence from Bangladesh's Banking Sector
  Predicting financial distress in banks is critical for regulators, depositors, and investors, particularly in emerging economies where information asymmetries and macro-fragilities amplify systemic risk. This paper develops and benchmarks a suite of machine-le…
  crossref Ripon Chandra Das 2026-07-23T16:10:05Z 置信度 0.70
• Machine-Learning Screening of Marginal-Field Productionand Economic Viability
  crossref 2026-08-14T18:32:41Z 置信度 0.70
• Credit Risk Assessment with Stacked Machine Learning
  Banca d’Italia’s In-house Credit Assessment System (ICAS) for Italian non-financial corporations, used in the Eurosystem’s collateral framework for monetary policy implementation, consists of a statistical model (S-ICAS) and of the analysts’ evaluation. This p…
  crossref Francesco Columba, Manuel Cugliari, Stefano Di Virgilio 2026-07-29T13:41:25Z 置信度 0.70
• Machine Learning
  crossref Alina Trapova 2024-03-08T13:00:47Z 置信度 0.70
• Review for "Bridging Structure and Activity in Nanocatalysts via Machine Learning and Global Structure Representations"
  crossref 2026-07-16T21:10:25Z 置信度 0.70
• Review for "Differentiating Long QT Syndrome Genotypes Using Electrocardiographic Geometric Parameterization and Machine Learning Approaches"
  crossref 2026-04-10T21:09:49Z 置信度 0.70
• Review for "Achieving a Scalable Machine Learning Workflow for Crystal Structure Discovery with Experimental Validations"
  crossref 2026-05-26T07:48:36Z 置信度 0.70
• Acceleration of Cloud Region Deployment Using Machine-Learning-Assisted Infrastructure Automation
  Rapid expansion of cloud regions is constrained by long, manual build processes that span capacity planning, infrastructure provisioning, network configuration, service bring-up, and readiness validation. This study defines an end-to-end automation framework t…
  crossref Shraddhaben R Gajjar 2026-03-18T15:49:27Z 置信度 0.70
• AI and Machine Learning Applications in Water Quality Monitoring and Treatment Optimization
  The increasing complexity of water quality management and treatment systems is being driven by climate variability, rapid urbanization, and escalating regulatory demands, which collectively challenge conventional monitoring and control approaches. Recent advan…
  crossref Owolabi Oyebode 2026-03-19T11:37:49Z 置信度 0.70
• Quantum Machine Learning: Bridging Quantum Computing &amp; Machine Learning
  crossref Wei Zhang, Tianming Liu, Yingfeng Wang, Xiang Li 等 2026-07-04T09:54:41Z 置信度 0.70
• Machine Learning in Emerging Nanofabrication Processes: From Imprinting and Tip-Based to Ion-Beam, Laser, and Capillary Approaches
  crossref Ampere A. Tseng, Miroslav Raudensky, Jun-ichi Shirakashi 2026-07-02T03:45:58Z 置信度 0.70
• A Cone-Penetration-Test Inversion Model Trained by Machine Learning
  crossref Gunjan Rateria, Brett W. Maurer 2026-03-05T14:48:03Z 置信度 0.70
• Predictive modeling of error categories in English-Slovak machine translation using automatic evaluation metrics
  crossref Dasa Munkova, Lucia Benkova, Michal Munk, Lubomir Benko 等 2025-12-04T08:14:19Z 置信度 0.70
• Stochastic and Tree-Based Machine Learning for Air Pollution Forecasting
  This book presents cutting-edge, effective methods of artificial intelligence and machine learning for data modeling, with applications to the important and challenging area of air pollution. Both classical stochastic and tree-based ensemble learning approache…
  crossref Snezhana Gocheva-Ilieva, Atanas Ivanov, Maya Stoimenova-Minova 2026-02-10T19:59:37Z 置信度 0.70
• State and Statistical Prediction of Chaos
  crossref 2026-06-17T03:29:03Z 置信度 0.70
• Front Matter
  crossref 2026-05-29T21:20:26Z 置信度 0.70
• An Explainable Machine Learning Based Clinical Decision Support Framework for Early Heart Disease Risk Stratification
  crossref Shubham Gupta, Suhaib Ahmed 2026-04-23T19:57:06Z 置信度 0.70
• Mean Shift: Climbing Toward Peaks of Density
  crossref Weisheng Jiang 2026-07-31T10:55:03Z 置信度 0.70