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• Reservoir Inflow Prediction using Machine Learning Techniques
  Accurate forecasting of reservoir inflow is crucial for effective water management, especially in regions with limited water resources and high demand from various sectors, including irrigation, domestic, and industrial uses. For the effective planning and man…
  crossref Yuvraj Nanasaheb Dhivar, Madan Kumar Jha 2026-03-14T00:39:53Z 置信度 0.70
• Conclusion
  crossref Clemens Apprich 2026-05-21T13:44:07Z 置信度 0.70
• Computational Modeling and Machine Learning Approaches to Individual Decision-Making Variability
  Behavioral variability in decision-making reflects disruptions in attention and efficiency that manifest both within and between individuals. This study examines the potential for computational modeling and machine learning to reveal the underlying mechanisms …
  crossref Jessica Schmilovich 2026-07-01T13:33:32Z 置信度 0.70
• Random Forest
  crossref Yinglin Xia, Jun Sun 2026-01-17T03:25:26Z 置信度 0.70
• Machine Learning in Nanoelectronics
  crossref 2026-03-08T14:57:25Z 置信度 0.70
• Index
  crossref 2026-06-26T23:12:41Z 置信度 0.70
• Front Matter: Volume 14307
  crossref 2026-08-28T14:20:24Z 置信度 0.70
• Integration of , , and Machine Learning for Turbulent Neutral Jet Flows
  crossref Mohammed Fathy El-Amin, Narjisse Kabbaj, Passent El-Kafrawy 2026-03-06T14:09:53Z 置信度 0.70
• Evaluation of Principal Component Analysis Algorithm for Locomotion Activities Detection in a Tiny Machine Learning Device
  crossref Ricardo Yauri, Ruben Acosta, Marco Jurado, Milton Rios 2021-11-30T23:57:57Z 置信度 0.70
• Pathways
  crossref 2026-03-10T08:53:34Z 置信度 0.70
• Adversarial Attacks on Machine Learning Based Photometric Redshift Estimation
  The success of next-generation survey missions, including LSST and Euclid, depends on the precision of photo metric redshift (photo-z) estimation. Although high-performance architectures like Multi-Layer Perceptrons (MLPs) and XGBoost achieve remarkable accura…
  crossref Samruddhi Kathale, Pranjal Pandit 2026-04-14T06:45:12Z 置信度 0.70
• Algorithms and Applications of Machine Learning Techniques for Healthcare
  crossref 2026-03-02T06:50:16Z 置信度 0.70
• Introduction
  crossref Zhou Xu 2025-11-19T22:47:26Z 置信度 0.70
• Artificial Intelligence, Machine Learning, and Cloud Computing in Higher Education: Intelligent Learning Systems, Analytics, and Digital Transformation
  Artificial Intelligence, Machine Learning, and Cloud Computing in Higher Education: Intelligent Learning Systems, Analytics, and Digital Transformation explores how emerging technologies are reshaping modern academia. The book examines AI-driven personalized l…
  crossref 2026-04-29T07:08:31Z 置信度 0.70
• Heterogeneity-Aware Federated Learning: From FedAvg to Multi-Task Personalization
  crossref Lakshmi Rangayya Naidu Kandulapati 2026-07-10T19:36:45Z 置信度 0.70
• Ten Tiny Fingers, Nine Tiny Toes
  crossref 2024-07-19T11:15:04Z 置信度 0.70
• Adoption of Machine Learning Techniques in Smart Applications based on Blockchain Technology
  The Internet of Things (IoT) has advanced toward smart houses as a result of the widespread detection and supply administration brought about by the advancement of technological advances in the field of sensing devices advancements. Many IoT gadgets in smart h…
  crossref K. M. Rashmi, Balraj Kumar, K. T. Thilagham, Harish Kumar 等 2026-01-15T11:48:36Z 置信度 0.70
• Supplementary material to "From Single Compounds to Ambient Aerosols: A Machine-Learning-Based Estimation of Organic Hygroscopicity"
  crossref Shravan Deshmukh, Laurent Poulain, Birgit Wehner, Silvia Henning 等 2026-04-30T09:40:22Z 置信度 0.70
• Review for "Scaling Quantum Machine Learning without Tricks: Full-Resolution and Diverse Image Generation"
  crossref 2026-06-17T22:57:36Z 置信度 0.70
• Review for "Machine Learning Aided Design of Reversible MXene Electrocatalysts for Li-Air Batteries"
  crossref 2026-03-24T21:14:44Z 置信度 0.70
• Harnessing Machine Learning Models for Pavement Texture Clustering
  Pavement texture is a critical element affecting road safety and ride quality. It is affected by traffic volume, climate conditions, aggregate properties, and asphalt volumetric properties. This research aims to study the effect of different parameters on pave…
  crossref Masud Rana Munna, Kaustav Chatterjee 2026-03-20T01:18:11Z 置信度 0.70
• Machine Learning
  crossref Mark Rowbotham 2026-04-17T12:06:22Z 置信度 0.70
• Prediction of SQL injection using Machine Learning
  Abstract A protection susceptibility called SQL injection (SQLi) permits an attacker to alter database queries which an application submits. An attacker has the ability to examine data that they would not commonly have access to. This could incorporate any dat…
  crossref Radhika Sreedharan, Sampath A K 2026-07-28T15:46:28Z 置信度 0.70
• Review for "Developing a Machine-Learning Interatomic Potential for Non-Covalent Interactions in Proteins"
  crossref 2026-06-08T15:13:01Z 置信度 0.70
• Machine Learning-Guided Optimization of Hydrogen Production via Catalytic Pyrolysis of Biomass
  crossref Persaud, Vishal 2026-04-19T03:16:36Z 置信度 0.70
• Machine Learning for Predicting the Configuration of Small Molecules
  The configuration of small molecules plays a key role in their measurable properties. This includes their spatial arrangement in 3-dimension space, giving rise to stereoisomers. As different stereoisomers can have vastly different biological effects, its deter…
  crossref Qingyi Zhu, Emma King-Smith 2026-07-20T10:20:52Z 置信度 0.70
• Adversarial Machine Learning for Robust Personalization in Modern Social Media Apps
  Modern social media platforms are increasingly reliant on deep learning models to deliver highly personalized user experiences, curating content feeds, recommending connections, and targeting advertisements. However, the very data that fuels this personalizati…
  crossref James Carrington 2026-07-29T04:52:27Z 置信度 0.70
• Review for "Machine learning for smell: Ordinal odor strength prediction of molecular perfumery components"
  crossref 2026-05-14T21:11:34Z 置信度 0.70
• Empirical Asset Pricing via Machine Learning: Evidence from Indian Equity Markets
  This paper applies the machine learning asset-pricing framework of Gu, Kelly & Xiu (2020) to Indian equity markets. Using a panel of 375 stocks listed on the National Stock Exchange (NSE) over 2000-2024 and ten price-based firm characteristics, we eval…
  crossref Umang Sharma 2026-08-25T10:18:56Z 置信度 0.70
• Recovering atmospheric dynamics from atmospheric composition snapshots using machine learning
  Abstract Atmospheric composition is shaped by transport and mixing, but whether an individual composition scene retains recoverable information about the dynamical state that produced it remains unclear. Here I test whether winds and boundary-layer height can …
  crossref Sudhanshu Pandey 2026-08-26T08:33:26Z 置信度 0.70
• SecuGRC: A Machine Learning Secure SDLC Code Compliance Auditor Based on Governance Framework Mapping
  crossref Harshini T.V, Adina Auldwin Paul, B. Uma Maheswari 2026-05-22T19:33:52Z 置信度 0.70
• Control of Thin Film Deposition Process Using Machine Learning-Based Analysis of Scanning Electron Microscopy Measurements
  crossref Alex Kondi, Efi-Maria Papia, Vassilios Constantoudis 2026-07-02T03:45:58Z 置信度 0.70
• Deep Feature Extraction Techniques For Machine Learning-Based Digital Image Steganalysis
  crossref Jayashri Jagannath Patil, Nilesh Ashok Suryawanshi 2026-08-25T08:47:06Z 置信度 0.70
• Machine Learning-Based Hand Gesture Recognition Using Wearable Smart Glove
  crossref Aya Mohammed Dakheel Allah, Aseel Mohammed Ali 2026-06-02T20:03:16Z 置信度 0.70
• Mobile-based Colorimeter with a Hybrid Machine Learning Approach for Enhanced Accuracy
  This work proposes a cost-effective, user-developed colorimeter leveraging widely available mobile devices such as smartphones, tablets, and embedded electronic boards with programming and wireless communication capabilities. To achieve high accuracy, these de…
  crossref Sarun Sumriddetchkajorn 2026-02-11T09:48:53Z 置信度 0.70
• Review for "Higher-order phonon scattering and lattice thermal conductivity prediction via machine learning"
  crossref 2026-05-26T07:12:33Z 置信度 0.70
• Adaptive risk controlled target latent retrieval for small-sample industrial vehicle shape prediction under family shift
  crossref Ziyuan Xi, Jinyan Ouyang, Jianning Su, Shutao Zhang 等 2026-08-17T15:49:41Z 置信度 0.70
• Machine Learning Analysis of Lake Van and Lake Urmia Using Satellite Data
  crossref Mozhgan Yarahmadi, Mahmood Rahmani Firozjaei, Mahdieh Kalhori 2026-08-28T01:23:50Z 置信度 0.70
• Reimagining Urban Operations in the Era of Industry 5.0
  crossref 2026-06-15T05:23:10Z 置信度 0.70
• Kernel Principal Component Analysis: Unlocking Nonlinear Dimensions
  crossref Weisheng Jiang 2026-07-31T10:55:03Z 置信度 0.70
• Front Matter: Volume 14304
  crossref 2026-08-07T18:01:11Z 置信度 0.70
• Machine Learning and Spatial Optimization
  Machine Learning and Spatial Optimisation is an exploration positioned at the intersection of environmental science, geospatial technology, and data analytics, exploring how advanced computational methods and spatial data analysis can address critical environm…
  crossref 2026-06-17T04:13:31Z 置信度 0.70
• Securing the internet of medical things (IoMT): a multi-stage machine learning approach for effective intrusion detection
  crossref Lo’ai Tawalbeh, Rama Jaradat 2026-07-01T08:38:00Z 置信度 0.70
• Sustainable Investing and Green Bonds: Insights into Investor Perception
  crossref 2026-06-15T05:23:10Z 置信度 0.70
• Robust Machine Learning for HRTEM Image Analysis
  crossref Mary Scott 2026-07-27T23:57:49Z 置信度 0.70
• TRANSFORMERS
  crossref FABIAN RUEHLE 2026-07-20T02:15:48Z 置信度 0.70
• Predicting Student Academic Success Using Comparative Machine Learning and Explainable Artificial Intelligence
  crossref 2026-06-03T09:10:01Z 置信度 0.70
• Behavioural Analytics: Machine Learning Approaches for Predictive Insights
  Applied Machine Learning for IoT and Data Analytics (Volume 3) offers a comprehensive exploration of how machine learning transforms behavioural data into actionable intelligence. In an era where data-driven strategies shape competitive advantage, this volume …
  crossref 2026-05-04T05:53:28Z 置信度 0.70
• 2026 4th International Conference on Artificial Intelligence and Machine Learning Applications Theme: Healthcare and Internet of Things (AIMLA)
  crossref 2026-05-22T19:34:49Z 置信度 0.70
• Nanofabrication in the Era of Machine Learning
  crossref Ampere A Tseng 2026-02-19T04:23:51Z 置信度 0.70
• Front Matter: Volume 14256
  crossref 2026-06-10T18:49:50Z 置信度 0.70
• Fake Profile Detection on Social Media Using Machine Learning
  crossref Sakshi Tapkir 2026-06-16T05:21:26Z 置信度 0.70
• Redefining Machine Learning Models Performance: What matters?
  crossref 2026-03-31T19:49:45Z 置信度 0.70
• Artificial Intelligence and Machine Learning: Foundations, Algorithms, and Applications
  crossref 2026-07-05T11:12:27Z 置信度 0.70
• Acknowledgements
  crossref 2026-05-13T04:55:56Z 置信度 0.70
• Machine Learning Tutorials for Pure Mathematics and Theoretical Physics
  crossref Andrei Constantin, Yang-Hui He 2026-04-14T01:02:53Z 置信度 0.70
• IntellCollab: A Machine Learning-Driven Recommender System for Academic-Industry Project Collaboration
  Collaboration between academia and industry faces systemic challenges including misaligned objectives, communication barriers and inefficient matching of expertise to project requirements. This paper presents IntellCollab, a web-based platform that addresses t…
  crossref Rifa Ferzana 2026-01-13T02:50:57Z 置信度 0.70
• A Comparative Analysis of Stock Market Prediction Using Machine Learning Models
  Stock market prediction has gained significant importance with the rapid expansion of financial data and the advancement of data-driven technologies such as machine learning and statistical analysis techniques. The increasing availability of large-scale histor…
  crossref Meet Prajapati 2026-05-04T13:26:26Z 置信度 0.70
• Generative Adversarial Networks (GANs)
  crossref Tongyi Zhang 2026-06-27T09:40:50Z 置信度 0.70
• Spectral Clustering: Finding Hidden Communities in Networks
  crossref Weisheng Jiang 2026-07-31T10:55:03Z 置信度 0.70
• Copyright Page
  crossref 2026-08-24T19:10:33Z 置信度 0.70
• Machine Learning Data Quality Assessment Pipeline
  crossref Maksim Poryvai, Dmitry Namiot 2026-04-27T19:47:39Z 置信度 0.70
• Half Title Page
  crossref 2026-02-12T14:25:02Z 置信度 0.70
• Front Matter
  crossref 2026-06-02T19:38:21Z 置信度 0.70
• AWS ® Certified Machine Learning Engineer Study Guide
  crossref Dario Cabianca 2026-05-29T21:20:26Z 置信度 0.70
• Chemometrics/machine learning methods in infrared spectroscopy analysis
  crossref Alessandra Biancolillo, Federico Marini 2025-11-29T00:53:30Z 置信度 0.70
• Author Index
  crossref 2026-08-24T19:15:59Z 置信度 0.70
• Machine learning approaches in protein-protein and protein-drug binding
  crossref Thomas Schlichthaerle 2026-04-22T22:00:36Z 置信度 0.70
• Machine Learning Based ENSO Prediction Using Multivariate Ocean Atmosphere Data
  crossref Dibyadarshini Maharatha, Prashant Kumar, Yukiharu Hiasaki, Rajni Rajni 2026-06-03T03:43:17Z 置信度 0.70
• Machine Learning Techniques for Predictive Maintenance in Natural Gas Infrastructure
  The reliability and safety of natural gas infrastructure are critical to ensuring uninterrupted energy supply and minimizing operational risks across production, transportation, and distribution systems. Predictive maintenance, enhanced by Machine Learning (ML…
  crossref Michael A. Johnson 2026-07-11T09:14:41Z 置信度 0.70
• Review for "Developing a Machine-Learning Interatomic Potential for Non-Covalent Interactions in Proteins"
  crossref 2026-06-08T15:13:01Z 置信度 0.70
• Review for "Developing a Machine-Learning Interatomic Potential for Non-Covalent Interactions in Proteins"
  crossref 2026-06-08T15:13:01Z 置信度 0.70
• Algebraic Foundations of Machine Learning: A Unified Mathematical Framework
  We present a unified algebraic framework for machine learning in which a "neural network" is formalized as a parameterized morphism in a structured category via the Para construction. Backpropagation is reverse-mode differentiation, identified with cotangent p…
  crossref Miquel Noguer I Alonso 2026-03-13T04:54:27Z 置信度 0.70
• Operationalizing GIS and Machine Learning across Contrasting Cropping Systems
  Precision-agriculture case studies are typically reported as isolated, single-crop demonstrations, making it difficult to assess whether GIS/remote-sensing workflows transfer across cropping systems. This study integrates three independent Portuguese field cam…
  crossref Naziru Halilu, Juwairiyyah Sulaiman 2026-07-28T01:44:12Z 置信度 0.70
• Machine Learning for Active Matter
  crossref Giovanni Volpe 2026-01-13T10:15:08Z 置信度 0.70
• Modern Machine Learning in Thin Film Device Development
  Recent advances in deep learning and scientific machine learning (SML) offer a wide spectrum of novel tools with the potential to radically transform various areas of academic research, industrial R&D, and manufacturing. These include inverse device design…
  crossref A Dobrynin, Y Khaydukov, M Gubbins 2026-02-18T04:34:24Z 置信度 0.70
• Projecting future climate change impacts on ozone pollution with machine learning
  Ozone (O3) is a secondary pollutant in the atmosphere formed by photochemical reactions that endangers human health and ecosystems. Since the mid-1990s, Asian regions have experienced the fastest O3 increase rate of 2–8 ppb per decade at remote surface sites a…
  crossref Huimin Li 2026-03-13T21:26:36Z 置信度 0.70
• Review for "Supply Chain Optimisation Using Physics-Informed Machine Learning for Digital Product Passport"
  crossref 2026-07-10T21:09:02Z 置信度 0.70
• Why machine learning trading strategies failed: empirical analysis on Nifity 50
  This study was motivated by growing trend in students and retail traders who tries to build algorithmic trading by technical analysis and machine learning models, they often expect to generate higher returns by relatively low efforts. Many people think that th…
  crossref yaksh kumar 2026-04-20T15:54:49Z 置信度 0.70
• Review for "Scaling Quantum Machine Learning without Tricks: Full-Resolution and Diverse Image Generation"
  crossref 2026-06-17T22:57:36Z 置信度 0.70
• Review for "Machine Learning Aided Design of Reversible MXene Electrocatalysts for Li-Air Batteries"
  crossref 2026-03-24T21:14:44Z 置信度 0.70
• Model-Aware Representation Strategies for Applied Machine Learning in Environmental Engineering
  crossref Duani Rojas, Aris 2026-07-24T14:23:47Z 置信度 0.70
• Review for "Machine learning to predict plasma-based CO2 conversion in dielectric barrier discharges"
  crossref 2026-05-14T21:11:23Z 置信度 0.70
• Beyond Algorithms: The Strategic Impact of Machine Learning on Modern Banking
  This research paper provides a comprehensive analysis of the implementation of machine learning (ML) in the banking and financial sectors. The primary objectives are to examine how ML enhances credit risk assessment, improves fraud detection and prevention, op…
  crossref Rishabh Dubey 2026-04-29T15:15:42Z 置信度 0.70
• Review for "Machine-learning-guided understanding of defect accommodation in spin-gapless semiconductor Mn2CoAl"
  crossref 2026-07-15T21:10:27Z 置信度 0.70
• Beyond Accuracy: A Validation Framework for Machine Learning in Cryptocurrency Trading
  <div> Machine learning strategies for cryptocurrency trading routinely report exceptional backtest results, yet practitioners consistently fail to replicate them. We identify three systematic failure modes—directional prediction bias, statistical-economi…
  crossref Jaewook Kim 2026-04-28T14:24:01Z 置信度 0.70
• Position: Ideas Should be the Center of Machine Learning Research
  crossref Jairo Diaz-Rodriguez 2026-01-30T16:56:23Z 置信度 0.70
• FRONT MATTER
  crossref 2025-12-08T02:04:12Z 置信度 0.70
• Harnessing Machine Learning to Transform Waterbody Monitoring
  Abstract George Gerring, River Deep Mountain AI Programme Lead, and Chris Dawson, R&D Lead at Xylem, speak to Grant Powell MBCS about an innovative project to analyse water pollution with a view to improving water quality and benefit public health.
  crossref Grant Powell 2026-03-09T21:39:48Z 置信度 0.70
• Glossary
  crossref 2026-01-09T21:22:08Z 置信度 0.70
• Continuous Improvement: Strategies for Success
  crossref D. Vetrithangam 2026-02-02T09:13:29Z 置信度 0.70
• A Systematic Introduction to Quantum Computing and Quantum Machine Learning for IoT Applications
  crossref Mathew Vincent, Parvathy Gopakumar, Asha Sebastian, G. Rubell Marion Lincy 2026-05-22T21:19:27Z 置信度 0.70
• Wind Farm Layout Optimization: Genetic Algorithms, Machine Learning, and Bibliometric Insights
  crossref Tayeb Brahimi, Rawan Asfour, Mohammed Fathy El-Amin 2026-03-06T14:09:53Z 置信度 0.70
• Machine learning fundamentals
  crossref Francisco Câmara Pereira, Stanislav Borysov 2026-03-07T07:32:02Z 置信度 0.70
• Organizational Psychology and Workplace Behavior: Theoretical and Empirical Perspectives
  crossref 2026-06-15T05:23:10Z 置信度 0.70
• Convolutional Operations
  crossref Sanad Aburass, Ibrahim Aljarah 2026-07-30T08:24:04Z 置信度 0.70
• Machine Learning in Urban Morphology and Urban Climate: Prospects and Applications
  Quantitative descriptions of urban morphology enhance our understanding of urban systems' operation and evolution. In recent years, with the rapid development of the AI, the application of machine learning in urban research has become increasingly widespread. …
  crossref Mengqing Yu 2026-03-14T00:39:53Z 置信度 0.70
• Review for "Scaling Quantum Machine Learning without Tricks: Full-Resolution and Diverse Image Generation"
  crossref 2026-06-17T22:57:36Z 置信度 0.70
• Leveling up upconverting nanoparticles with machine learning
  Upconverting nanoparticles (UCNPs) transform low-energy light into higher-energy photons, enabling applications in subwavelength and subsurface imaging, nanoscale sensing, therapeutics, optogenetics, printing, and optical computing. However, the widespread ado…
  crossref Ripeng Luo, Jungmin Hamm, Emory M Chan 2026-05-11T09:30:59Z 置信度 0.70
• Review for "Machine-learning-guided understanding of defect accommodation in spin-gapless semiconductor Mn2CoAl"
  crossref 2026-07-15T21:10:27Z 置信度 0.70