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• Research on Machine Translation Model Construction Based on Feature Fusion of Pre-Trained Models
  crossref Yuhua Qin 2026-07-22T19:09:45Z 置信度 0.70
• Back Matter
  crossref 2026-06-02T19:38:21Z 置信度 0.70
• Future Directions and Innovation on Emerging Machine Learning Technologies in Environmental Science
  crossref Robert Birundu Onyancha, Kingsley Eghonghon Ukhurebor, Uyiosa Osagie Aigbe 2026-04-29T13:25:47Z 置信度 0.70
• Attention Mechanism and Transformers
  crossref Tongyi Zhang 2026-06-27T09:45:59Z 置信度 0.70
• Front Matter: Volume MLES100
  crossref 2026-07-20T15:16:23Z 置信度 0.70
• Training as Treatment: A Causal Framework for Machine-Learning Evaluation
  Abstract Machine-learning evaluation conventionally treats training, validation, and test assignment as a procedural step rather than an object of causal analysis. This paper proposes Training as Treatment, a potential-outcomes framework in which data-role ass…
  crossref Vikas Ramachandra 2026-08-10T04:48:26Z 置信度 0.70
• AI-Assisted Bug Prediction and Code Review Automation using Machine Learning
  This paper proposes an AI-aided framework for bug-prone commit prediction and automated code review, leveraging a hybrid of traditional machine learning with deep learning models. We harness commit-level datasets such as JIT, DeepJIT, and state-of-the-art high…
  crossref Subham Prasad 2026-07-29T13:13:05Z 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
• 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
• Keratoconus severity detection using LSTM and machine learning techniques
  Abstract Keratoconus(KC) is a common degenerative condition of the cornea delineated by corneal steeping caused by corneal protrusion and thinning, impacting the quality of vision or simply affecting the vision negatively. In the early stages, non-surgical tre…
  crossref Sibel Tariyan Ozyer 2026-08-25T06:24:03Z 置信度 0.70
• Machine Learning methods for Small Wet-Lab Data Challenges in Enzyme Engineering
  Enzyme engineering is fundamentally constrained by the scarcity of high-quality sequencefunction data, and the vastness of protein sequence space is severely mismatched with the limited through put of experimental characterization. Traditional machine learning…
  crossref Yumeng Zhang 2026-08-25T01:59:38Z 置信度 0.70
• Linear Algebra with Applications in Machine Learning
  crossref Md. Jalil Piran 2026-06-13T10:49:18Z 置信度 0.70
• High-Precision Photovoltaic Power Forecasting under Complex Weather Conditions
  crossref 2026-06-09T09:17:10Z 置信度 0.70
• Prelims
  crossref 2025-12-22T14:47:04Z 置信度 0.70
• Summary of the Chapters
  crossref 2026-05-07T05:06:57Z 置信度 0.70
• Machine Learning for the Real World: Applications and Insights
  crossref 2026-02-21T04:25:27Z 置信度 0.70
• Quantamental Portfolio Allocators: Deriving Alpha from Fundamental Metrics with Machine Learning
  "The consequences of failing to solve the great dilemma of risk won't just appear as abstract figures in the newspaper. They are all too real-people's savings wiped out, governments forced to tax or inflate their economies to death-human tragedy with real econ…
  crossref Nathaniel Coulter 2026-07-10T03:45:22Z 置信度 0.70
• Machine Learning in Liquid Foams: A Survey
  Machine Learning (ML), a developing field with many applications, is spearheading data-driven science. ML techniques are able to process large amounts of data in a fraction of the time it would take a team of human scientists to trudge through it, and with bet…
  crossref Helio Figueiredo, Artur Ferreira, Paulo Teixeira 2026-06-01T15:38:16Z 置信度 0.70
• Bangladesh Tourist Spot Recommendation System Using Hybrid Machine Learning Techniques
  Tourism plays a significant role in the economic and cultural development of a country. Bangladesh possesses a wide variety of tourist attractions, including historical sites, natural landscapes, beaches, waterfalls, religious places, and archaeological monume…
  crossref Md. Soyaeb Hossain 2026-07-17T07:12:51Z 置信度 0.70
• On Reasoning About Statistical Requirements for Machine-Learning Models
  crossref Yakoub Salhi 2026-08-24T18:47:01Z 置信度 0.70
• "Eco aware Machine learning:Minimizing Environmental Footprints in Model training"
  crossref Nabbya kumari, Sangita Bose 2026-06-18T11:06:12Z 置信度 0.70
• Organizing Committee of CIOSE 2026
  crossref 2026-08-24T19:17:04Z 置信度 0.70
• Machine‐Guided Approaches for Synthetic Biology Part Design
  crossref Marc Amil, Leandro N. Ventimiglia, Aleksej Zelezniak 2026-01-09T21:39:28Z 置信度 0.70
• Tiny chip is size of a fingernail
  crossref Matthew Sparkes 2026-07-04T00:24:11Z 置信度 0.70
• Automatic Crater Classification Using a Deep‐Learning‐Based Pipeline
  Abstract Identifying and classifying impact craters on Mars is crucial for understanding the planet's geological history and surface evolution. Traditional crater classification relies on manual annotation methods, which are often limited by human biases and t…
  crossref L. Martinez, F. Andrieu, F. Schmidt, M. S. Bentley 2026-08-29T09:28:19Z 置信度 0.70
• Enhanced Fraud Prediction in Health Insurance Using Binary Whale Optimization Algorithm and Machine Learning Models
  crossref Sushma Rath, Suvasini Panigrahi 2026-07-16T12:06:08Z 置信度 0.70
• Reservoir Computing-Based Parameter Tracking
  crossref 2026-06-17T03:29:03Z 置信度 0.70
• Swarm-Based Optimization Algorithms
  crossref Tongyi Zhang 2026-06-27T09:42:09Z 置信度 0.70
• Machine Learning and Covariance Matrices
  crossref Wei Lan, Chih-Ling Tsai 2026-04-15T22:53:51Z 置信度 0.70
• Machine Learning Observations About a Mature Unconventional Reservoir
  Abstract The Bakken formation is a well-established unconventional play in the United States. There have been several thousand wells drilled there, and there has been a production history of more than 5 years on many of these wells. This study is focused on es…
  crossref D. Satbaldy, I. Ershaghi 2026-05-04T00:03:37Z 置信度 0.70
• MACHINE LEARNING APPLICATIONS IN MEDICAL, SOCIAL, INDUSTRIAL, AND ENVIRONMENTAL SYSTEMS
  Machine learning has emerged as a transformative technology across diverse domains, fundamentally reshaping how we approach complex problems in healthcare, social systems, industrial processes, and environmental management. This chapter explores the multifacet…
  crossref Mr. Ravi Shanker Pathak, Dr. Vinay Pathak, Kanchan Singh, Dr. Rolly Gupta 等 2026-07-03T10:31:48Z 置信度 0.70
• AI and Machine Learning Framework Development for Future AC Interference Induced Corrosion Monitoring and Prediction
  Abstract This paper builds upon findings from the 2025 AMPP paper Field Investigation into AC Corrosion at Coating Defects Simulated on 3LPE and HBPU Coating Systems in Low Resistance Sabkha Soils, which documented corrosion depth, current density variation, c…
  crossref Craig Botha 2026-03-06T14:14:16Z 置信度 0.70
• How secure is forgetting? Linking machine unlearning to machine learning attacks
  crossref Muhammed Shafi K.P., Serena Nicolazzo, Antonino Nocera, Vinod P. 2025-11-01T15:50:52Z 置信度 0.70
• Decision Tree
  crossref 2025-03-30T22:13:40Z 置信度 0.70
• Preliminaries
  crossref 2025-09-04T01:52:31Z 置信度 0.70
• Mechanisms for Enforcing Copyright in the Age of Machine Learning
  crossref 2025-05-05T20:03:05Z 置信度 0.70
• Detection of Diabetic Retinopathy Based on Machine Learning
  crossref Xiang Kuang 2026-02-25T17:06:05Z 置信度 0.70
• Social-psychological Dual-dimensional Clustering Modeling: Heterogeneity Analysis of Smoking Cessation Success Based on Machine Learning
  crossref Yuting Wu, Xiao Sun 2025-09-15T10:49:44Z 置信度 0.70
• Predictive Analytics and Machine Learning Models for Assessing Educational Outcomes in Higher Education
  The rapid digitalization of higher education has generated extensive datasets encompassing academic performance, behavioral patterns, and socio-emotional indicators. Traditional assessment frameworks fail to fully leverage these data streams, limiting the abil…
  crossref E Manigandan, K.A Dhamotharan 2025-10-30T09:41:08Z 置信度 0.70
• A Context-Aware Proactive Algorithm for Health Recommendations using Machine Learning
  crossref Pranali G. Chavhan, Ritesh V. Patil 2026-01-05T10:21:55Z 置信度 0.70
• Machine Learning-Driven Software Testing: Towards Autonomous Bug Detection in 2025
  The application of Machine Learning (ML) in software testing aims to automated bug detection and resolution processes. We anticipate the culmination of such developments to result in system autonomy by 2025. Traditional testing approaches have yet to address t…
  crossref Maryam Jawad Kadhim, Asmaa Ghali Sabea, Adian Rasmi Hasan Alkhafaji 2026-06-28T06:07:19Z 置信度 0.70
• Learning measurement for classification in compressed domain
  crossref Robiulhossain Mdrafi, Ali Cafer Gurbuz 2025-06-05T17:27:14Z 置信度 0.70
• Virtual Machine Resource Prediction Model Based on Deep Learning
  crossref Keke Qin 2025-07-24T17:51:04Z 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
• Introduction to Machine Learning
  crossref Carlos J. Costa 2025-05-03T14:06:28Z 置信度 0.70
• Harnessing Interpretability and Efficiency with Kolmogorov–Arnold Networks in Machine Learning
  Kolmogorov–Arnold Networks (KANs) are a class of machine learning models that offer a unique blend of interpretability and flexibility by representing complex functions as compositions of simpler, univariate functions. This framework is inspired by the Kolmogo…
  crossref Jessica Beatrize 2025-04-21T15:12:08Z 置信度 0.70
• Quantum Intelligence: Machine Learning Algorithms for Secure Quantum Networks
  Abstract: As quantum computing and quantum communication technologies advance, securing quantum networks against emerging cyber threats has become a critical challenge. Traditional cryptographic methods are vulnerable to quantum attacks, necessitating the deve…
  crossref Murali Krishna Pasupuleti 2025-03-17T15:04:54Z 置信度 0.70
• Data Meets Medicine: Machine Learning Innovations in Health Information Technology
  crossref Elevane Dave 2025-01-27T23:10:23Z 置信度 0.70
• Review for "A Supervised Machine Learning Approach for Assessing Grant Peer Review Reports"
  crossref 2025-09-02T21:04:13Z 置信度 0.70
• Automated Tuning of Machine Learning Models in Real-World Applications
  The growing intricacy of machine learning (ML) models and their extensive use in practical applications demand effective and expandable methods for automating model adjustment. This study investigates the most recent approaches and technologies for automatic m…
  crossref Ravikumar Perumallaplli 2025-05-06T16:05:22Z 置信度 0.70
• The Most Optimal Machine Learning Model for Defense Stock Prediction
  <span>Escalated geopolitical tensions across the globe have increasingly affected the volatility and potential profitability of defense stocks, drawing increased public attention to predictive financial models. This study examines the use of Natural Lang…
  crossref Evan Chan 2025-01-02T09:00:38Z 置信度 0.70
• Self-Healing Systems in Software Engineering: A Machine Learning Approach
  Self-healing systems have emerged as a promising solution in software engineering, aiming to automatically detect, diagnose, and rectify issues within complex software infrastructures. Leveraging machine learning techniques, these systems offer a way to enhanc…
  crossref Jay Patel 2025-04-07T16:14:21Z 置信度 0.70
• Integrating Multiple Modalities in Machine Learning Systems
  Multimodal machine learning is an emerging field at the intersection of artificial intelligence, computer vision, natural language processing, and signal processing, which focuses on learning from and integrating data from multiple modalities, such as text, im…
  crossref Feidlimid Shyama, Lucas Pereira, Maria Silva 2025-12-29T21:36:27Z 置信度 0.70
• Review for "A Supervised Machine Learning Approach for Assessing Grant Peer Review Reports"
  crossref 2025-09-02T21:04:13Z 置信度 0.70
• Review: Modelling suspended sediment concentration in coastal Ireland using machine learning — R0/PR2
  crossref 2025-11-26T08:04:36Z 置信度 0.70
• Deep Learning Based Received Signal Strength Estimation
  crossref Mohammed Mallik, Guillaume Villemaud 2025-09-03T17:49:08Z 置信度 0.70
• Olive Leaf Disease Detection using Improvised Machine Learning Techniques
  Plants are integral to human life, and so, plant health is important. Regularly monitoring of plant health and plant disease detections are important in property agriculture. In agriculture, the use of image processing techniques run by computers in solving ag…
  crossref Qusay Bsoul Bsoul, Malik Jawarneh 2025-03-22T08:37:00Z 置信度 0.70
• Optimization Algorithms for Feature Selection and Disease Prediction With Machine Learning
  Machine learning (ML) is widely used in healthcare applications like disease prediction, but high-dimensional datasets can reduce model performance and cause overfitting. Feature selection is crucial to address these issues. The filtering method evaluates each…
  crossref Pınar Özen Kavas, Evin Şahin Şahin Sadık 2025-07-03T10:23:27Z 置信度 0.70
• Machine Learning Techniques Applied in Predictive Maintenance: A Review
  crossref P. Chenga Reddy, Karamala Naveen, Naveen Kilari, Nagendra Panini Challa 2025-09-04T14:16:51Z 置信度 0.70
• Predictive Modeling of Surface Roughness in Manufacturing A Study Using Multiple Machine Learning Techniques
  This study provides an in-depth study advanced machining processes and their optimization using various machine learning algorithms. The study focuses on key machining parameters such as cutting speed (m/min), feed rate (mm/rev), and cutting depth (mm), and ro…
  crossref Rakesh Mittapally 2025-04-25T02:55:13Z 置信度 0.70
• Using Machine Learning to Accelerate Computational Fluid Dynamic Modelling of Wave Propagation in Complex Geometries
  crossref Jesse Flaman, Kanwar Pannu, Mohammad Islam Miah, Travis Wiens 2026-07-02T19:42:14Z 置信度 0.70
• Benchmarking Text Embedding Models for Multi-Dataset Semantic Textual Similarity: A Machine Learning-Based Evaluation Framework
  crossref Sutriawan, Wasis Haryo Sasoko, Zumhur Alamin, Ritzkal 2025-04-18T04:02:40Z 置信度 0.70
• The Impact and Limitations of Machine Learning in Everyday Life
  crossref Alexandre Davitaia 2025-07-08T10:17:24Z 置信度 0.70
• CredibleIDs: Leveraging Biometric Authentication, Blockchain Technology, and Machine Learning for Enhanced Digital Identity Management Systems
  crossref Pratyusa Mukherjee 2025-05-31T12:22:47Z 置信度 0.70
• Machine Learning Models for Assessing and Enhancing Faculty Performance in Higher Education
  The effectiveness of faculty performance critically influences academic quality, student engagement, and institutional success in higher education. Traditional evaluation methods, often reliant on subjective feedback and periodic reviews, provide limited insig…
  crossref Jayamala R, A Rajesh 2025-10-30T09:41:08Z 置信度 0.70
• Integrating Support Vector Machine Learning Algorithm to Patient Status of COVID-19 Cases in Baguio City, Philippines
  crossref Criselda P. Libatique, Joel M. Addawe, Rizavel C. Addawe 2026-02-23T20:45:29Z 置信度 0.70
• Complying with the EU AI Act: Innovations in explainable and user-centric hand gesture recognition
  crossref Sarah Seifi, Tobias Sukianto, Cecilia Carbonelli, Lorenzo Servadei 等 2025-04-25T12:04:34Z 置信度 0.70
• 8th International Conference on Data Science and Machine Learning Applications (CDMA2025)
  crossref Mohammad Alsharaa, Layla Alfawzan, Suliman Fati, Basit Qureshi 等 2025-03-07T18:33:22Z 置信度 0.70
• Machine Learning Analysis of Greetings on Korea Professional Sports Clubs Websites
  crossref Kyoungho Choi 2025-02-07T06:24:51Z 置信度 0.70
• AN EMPIRICAL COMPARISON OF MACHINE LEARNING MODELS FOR TIME SERIES FORECASTING
  Time series data analysis and forecasting stands as a critical information source, shaping future decision-making, strategy formulation, and operational planning across diverse industries. Ranging from marketing and finance to education, healthcare, and roboti…
  crossref Simranjeet Kaur 2025-09-25T08:50:43Z 置信度 0.70
• Self-adaptive physics-informed quantum machine learning for solving differential equations
  Abstract Chebyshev polynomials have shown significant promise as an efficient tool for both classical and quantum neural networks to solve linear and nonlinear differential equations (DEs). In this work, we adapt and generalize this framework in a quantum mach…
  crossref Abhishek Setty, Rasul Abdusalamov, Felix Motzoi 2024-12-27T22:51:49Z 置信度 0.70
• Using Machine Learning to Predict Women at Risk Having a Child With Congenital Heart Defects
  Congenital heart defects (CHD) are heart malformations present at birth, affecting heart function and circulation, and are a leading cause of infant mortality. CHD can result from genetic, environmental, and maternal health factors, making early detection esse…
  crossref Amany Abdo, Asmaa Mostafa Mosallam, Laila Abdel-Hamid 2025-04-18T06:24:36Z 置信度 0.70
• Predicting Academic Performance: Machine Learning Insights into GPA Determinants
  crossref Sakib Hossain, Afzalul Abid Nazir, Subrina Islam Prity, Islam Saiful 等 2025-12-12T18:33:34Z 置信度 0.70
• A Smart City Cloud Platform for Road Inspection and Analysis Using Machine Learning
  crossref Sweekruthi Balivada, Yuting Sha, Manisha Lagisetty, Damini Vichare 等 2025-09-01T19:13:34Z 置信度 0.70
• Customer Segmentation Using K-Means Clustering in Unsupervised Machine Learning
  crossref Aparna S Nair, Sindhu Daniel 2025-04-21T06:08:51Z 置信度 0.70
• Application of Machine Learning in Moisture Content Prediction of Coffee Drying Process
  crossref Tuan M. Le, Thuy T. Tran, Hieu M. Tran, Son V.T. Dao 2025-06-07T09:48:56Z 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
• Comparative Analysis of Machine Learning Models for Predicting Mental Health
  crossref Ruchika Mali 2025-07-29T17:29:13Z 置信度 0.70
• Exploring the weightage of correlates of Diabetes prediction using Machine learning
  crossref Aarush Raheja 2025-10-11T23:52:36Z 置信度 0.70
• Dedication
  crossref Christophe Gaillac, Jérémy L'Hour 2025-05-15T07:34:57Z 置信度 0.70
• Review 2: "Multi-Contrast Machine Learning Improves Schistosomiasis Diagnostic Performance"
  crossref Xue-bo Jin 2025-05-06T20:19:10Z 置信度 0.70
• An Efficient Machine Learning-Based Prediction Model for JAK2 Inhibitor pIC50
  Background: Janus Kinase 2 (JAK2) is a key kinase in cellular signal transduction. Its abnormal activation is closely related to various myeloproliferative neoplasms and inflammatory diseases. Developing selective JAK2 inhibitors is an important direction in d…
  crossref Shengyao Liang 2025-05-02T05:28:21Z 置信度 0.70
• Review for "Defect formation in CsSnI3 from Density Functional Theory and Machine Learning"
  crossref 2025-03-05T15:25:18Z 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
• Review for "Point defect formation at finite temperatures with machine-learning force fields"
  crossref 2025-04-10T00:11:06Z 置信度 0.70
• Advances in Healthcare Using Machine Learning
  crossref Sriparna Saha, Lidia Ghosh 2025-10-10T07:39:36Z 置信度 0.70
• The Role of Machine Learning in Cybersecurity: Advances and Limitations
  The Role of Machine Learning in Cybersecurity: Advances and Limitations explores how machine learning (ML) is transforming the way digital systems detect, respond to, and defend against cyber threats. This book provides a comprehensive overview of both the cut…
  crossref Mohit Yadav 2026-06-23T06:45:52Z 置信度 0.70
• Exploiting Machine Learning for Robust Security
  crossref 2025-04-16T11:55:06Z 置信度 0.70
• Sentiment Analysis of Airline Tweets Using Machine Learning Algorithms and Regular Expression
  crossref S. Nagendra Prabhu, A.P. Rohith, Shubhankar Bhope, P. Sivakumar 2025-01-28T19:00:48Z 置信度 0.70
• Machine Learning Techniques to Predict the Risk of Chronic Obstructive Pulmonary Disease
  crossref K P Malarkodi, M Jenifer 2025-02-04T20:19:40Z 置信度 0.70
• Introduction to Artificial Intelligence and Machine Learning
  crossref Latesh Malik, Sandhya Arora, Urmila Shrawankar 2025-08-29T15:12:32Z 置信度 0.70
• A Review of Machine Learning in Diabetes Research
  crossref Runnan Wu 2026-02-25T21:01:25Z 置信度 0.70
• Data Preparation
  crossref 2025-03-30T22:13:40Z 置信度 0.70
• Anomaly Detection
  crossref 2025-03-30T22:13:40Z 置信度 0.70
• Acknowledgments
  crossref 2025-03-17T18:22:56Z 置信度 0.70
• Clustering
  crossref A. C. Faul 2025-03-25T02:29:52Z 置信度 0.70
• Improved detection of bird vocalisations using BirdNET embeddings and machine learning
  Automated bird sound recognition has become an essential tool for biodiversity monitoring, enabling large-scale species detection from audio recordings. BirdNET is a well-known deep learning algorithm that has been trained using a large dataset of community la…
  crossref Hakan Dogan 2025-03-25T14:43:28Z 置信度 0.70
• Review: Modelling suspended sediment concentration in coastal Ireland using machine learning — R2/PR12
  crossref 2025-11-26T08:04:36Z 置信度 0.70
• Characterizing RNA Tetramer Conformational Landscape Using Explainable Machine Learning
  We present a simulation framework that combines explainable artificial intelligence (XAI) with the on-the-fly probability enhanced sampling (OPES) algorithm to efficiently sample the complex free energy landscapes of RNA tetramers. Our simulations effectively …
  crossref Sompriya Chatterjee, Dhiman Ray 2025-04-24T08:22:20Z 置信度 0.70
• Machine learning and tourism: Uncovering patterns in tourist behavior through machine learning methods
  crossref Judit Sulyok, Ágnes Vathy-Fogarassy, Tibor Csizmadia, Zsolt T. Kosztyán 等 2025-03-21T22:19:54Z 置信度 0.70