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• Unsupervised Learning and Optimization
  crossref John Tuhao Chen, Lincy Y. Chen, Clement Lee 2024-06-11T13:10:10Z 置信度 0.70
• APPLICATION OF DEEP LEARNING-BASED TECHNIQUES FOR PRECISION AGRICULTURE
  Agriculture is a vital industry that adds significantly to the global economy. Researchers are currently starting to investigate the prospect of integrating deep learning techniques and machine learning into agriculture, due to recent developments in technolog…
  crossref Bazila Farooq 2024-05-07T02:15:51Z 置信度 0.70
• Application of Deep Learning Based Semantic Understanding Model in New Media Cultural Communication
  crossref Zhenhua Lin 2026-01-22T20:58:30Z 置信度 0.70
• DeepCensored: Deep-Learning Based Probabilistic Forecasting Framework for Censored Data
  crossref Jiahao Tian, Michael D. Porter 2025-03-04T18:39:11Z 置信度 0.70
• Author Index
  crossref 2024-06-24T19:21:25Z 置信度 0.70
• Wave Dynamics Run-Up Modelling: Machine Learning Approach
  Abstract This study proposes an alternative approach to predict wave elevation near multi-column semi-submersible structures by applying machine-learning methods from experimental data. The most common approach to this problem is to apply linear potential theo…
  crossref Vinicius L. Vileti, Svein Ersdal 2024-08-09T13:04:09Z 置信度 0.70
• Early Prediction of University Student Dropout Using Machine Learning Models
  crossref 2024-07-28T02:49:16Z 置信度 0.70
• 11 Reinforcement learning
  crossref 2024-05-07T04:33:40Z 置信度 0.70
• Chapter 4 Supervised learning models
  crossref 2024-12-17T05:21:44Z 置信度 0.70
• Learning Production Process Heterogeneity: Implications of Machine Learning for Corporate M&A Decisions
  We introduce novel metrics to evaluate production process heterogeneity using both machine learning (ML) and traditional kernels. ML kernels, particularly through economically motivated transfer learning models, enhance M&A forecasting accuracy. A wide…
  crossref Jongsub Lee, Hayong Yun 2024-12-07T19:46:55Z 置信度 0.70
• Advanced Corrosion Classification Utilizing Machine Learning and Deep Learning Algorithms
  Abstract One of the most critical elements in petroleum production engineering is downhole casing integrity. Thus, monitoring downhole casing corrosion is an important element as it ensures the safety and integrity of well assets. Corrosion logging is one impo…
  crossref Ali H. Alquraini, Hussain H. Al Sadah, Ryyan A. Bayounis, Mohammad S. Al-Kadem 2024-11-04T00:27:06Z 置信度 0.70
• Exploration of Machine Learning for Sound and Signal Investigation
  crossref 2025-01-11T04:32:46Z 置信度 0.70
• Computational Fluid Dynamics And Machine Learning For Predictive Analysis In Turbomachinery
  crossref 2024-11-17T00:42:49Z 置信度 0.70
• Preface
  crossref Chee Peng Lim 2024-12-12T19:06:44Z 置信度 0.70
• Front Matter
  crossref 2024-07-19T05:39:50Z 置信度 0.70
• Simultaneous Learning and Multiplicity
  crossref John Tuhao Chen, Lincy Y. Chen, Clement Lee 2024-06-11T13:10:10Z 置信度 0.70
• Blockchain-Enhanced Federated Learning: A New Paradigm for Secure Distributed Machine Learning
  crossref Shiva Mehta, Amanveer Singh 2024-08-15T13:21:37Z 置信度 0.70
• Machine learning for Developing neurorehabilitation-aided assistive devices
  crossref Shivalika Goyal, Amit Laddi 2024-01-25T06:08:53Z 置信度 0.70
• Deep Learning and Machine Learning Based Facial Expression Recognition Employed in Mental Health
  crossref Hanyu Lin 2024-09-19T13:57:50Z 置信度 0.70
• Machine Learning Applications in Predicting Bond Market Trends: Explore How Machine Learning Algorithms Can Be Used to Predict Movements in the Fixed Bond Market
  This paper explores the application of machine learning (ML) algorithms in predicting trends in the fixed bond market, where traditional analytical methods have proven inadequate. Focusing on various ML techniques such as supervised and unsupervised learning, …
  crossref Dharika Kapil, Kannan Yamini 2024-04-29T08:42:45Z 置信度 0.70
• Prediction of DASH Price Based on Machine Learning
  crossref Xinze Wu 2026-02-19T17:04:17Z 置信度 0.70
• Studying Cloud Computing Offloading Using Machine Learning Strategies
  Sophisticated messaging networks require many advances in source priority applications that can be suggested to multiple clients. Although peripheral equipment is increasingly "used," nearby and accessible supplies cannot cope with the necessities of such appl…
  crossref Hiba A. Tarish 2025-04-03T23:11:12Z 置信度 0.70
• LightGBM for Human Activity Recognition Using Wearable Sensors
  crossref 2024-05-16T03:08:36Z 置信度 0.70
• Advanced Machine Learning Algorithms For Predictive Maintenance In Industrial Manufacturing Systems
  crossref 2024-11-07T09:40:32Z 置信度 0.70
• Machine Learning in Geosciences: A Review of Complex Environmental Monitoring Applications
  This is a systematic literature review of the application of machine learning (ML) algorithms in geosciences, with a focus on environmental monitoring applications. ML algorithms, with their ability to analyze vast quantities of data, decipher complex relation…
  crossref Maria Silvia Binetti, Carmine Massarelli, Vito Felice Uricchio 2024-06-05T05:59:42Z 置信度 0.70
• Table of Contents
  crossref 2025-01-08T19:58:48Z 置信度 0.70
• Acknowledgment
  crossref 2024-07-19T05:36:31Z 置信度 0.70
• Machine learning of cellular metabolic rewiring
  Abstract Metabolic rewiring allows cells to adapt their metabolism in response to evolving environmental conditions. Traditional metabolomics techniques, whether targeted or untargeted, often struggle to interpret these adaptive shifts. Here, we introduce Meta…
  crossref Joao B Xavier 2024-07-02T19:50:12Z 置信度 0.70
• Performance Evaluation of Multimodal Image Generation Algorithm Based on Deep Learning
  crossref Zexiang Chen 2024-11-21T19:04:04Z 置信度 0.70
• Beyond Federated Learning: Survival-Critical Machine Learning
  crossref Eric Sturzinger, Mahadev Satyanarayanan 2025-01-01T19:22:59Z 置信度 0.70
• Fatty Liver Disease Prediction Through Machine Learning
  crossref Siddharth Mathur, Priyansh Karodi, Ritesh Dhanare 2024-07-25T17:19:48Z 置信度 0.70
• Hydroponic Agriculture with Machine Learning and Deep Learning Methods
  crossref Nurten BULUT, Mehmet HACIBEYOGLU 2024-03-13T08:13:46Z 置信度 0.70
• Fault diagnosis and prognosis driven by deep transfer learning
  crossref Ruqiang Yan, Fei Shen 2024-01-19T09:16:14Z 置信度 0.70
• Chapter 12: Recurrent Neural Networks
  crossref 2024-12-18T22:35:18Z 置信度 0.70
• Enhancing The Effectiveness Of Weather Forecasting Using Ensemble Machine Learning Techniques
  crossref 2024-11-28T05:48:53Z 置信度 0.70
• Research on Hierarchical Futures Pair Trading Strategy Based on Machine Learning and Kalman Filteringresearch on Hierarchical Futures Pair Trading Strategy Based on Machine Learning and Kalman Filtering
  crossref Shuo Yang, Ke Huang 2024-06-12T19:17:19Z 置信度 0.70
• A Precision Health Approach For Knee Osteoarthritis Prediction of Rapid Progression Using Automated Machine Learning
  crossref 2024-01-12T12:13:28Z 置信度 0.70
• Chapter 18: Generative Adversarial Networks
  crossref 2024-12-18T22:35:18Z 置信度 0.70
• Machine Learning Model for Applicability of Hybrid Learning in Practical Laboratory
  crossref Chaman Verma 2024-05-31T23:51:21Z 置信度 0.70
• Utilisation of Machine Learning in Islamic Learning
  Background. Machine learning is a branch of artificial intelligence that has become an important component in modern technology. This is due to its ability to develop computer programmes that can access and process data. In the context of Islamic learning, the…
  crossref Rahman Rahman 2024-08-21T19:38:52Z 置信度 0.70
• Python-Driven Machine Learning and Deep Learning: Cutting-Edge Solutions for Autonomous Systems, Diagnostics, and Financial Risk Management
  Abstract: This chapter explores the application of Python-driven machine learning (ML) and deep learning (DL) techniques in transforming key industries such as autonomous systems, healthcare diagnostics, and financial risk management. Utilizing powerful Python…
  crossref Murali Krishna Pasupuleti 2024-09-23T14:21:46Z 置信度 0.70
• Chapter 7: Support Vector Machines
  crossref 2024-12-18T22:35:18Z 置信度 0.70
• Self-regulated Learning
  crossref Myint Swe Khine 2024-12-06T00:51:43Z 置信度 0.70
• Copyright Page
  crossref 2024-06-24T19:21:25Z 置信度 0.70
• Robust Watermarking and Image Enhancement Technique Using Classification in Machine Learning
  crossref 2024-08-25T03:31:55Z 置信度 0.70
• Machine Learning, Natural Language Processing, and Psychometrics
  With the exponential increase of digital assessment, different types of data in addition to item responses become available in the measurement process. One of the salient features in digital assessment is that process data can be easily collected. This non-con…
  crossref 2025-11-20T22:34:06Z 置信度 0.70
• Network Science and Machine Learning for Precision Nutrition
  Nutrition is a significant factor in determining our health that is directly under our control, affecting our risk of chronic conditions like diabetes, heart disease , and cardiovascular diseases. Yet, the nutritional recommendations are centered around 150 es…
  crossref Michael Sebek, Giulia Menichetti 2023-10-27T05:05:22Z 置信度 0.70
• Machine learning
  crossref Jugal K. Kalita, Dhruba K. Bhattacharyya, Swarup Roy 2024-01-21T06:11:02Z 置信度 0.70
• Machine Learning for Space Domain Awareness Sensor Scheduling
  crossref Neil Dhingra, Cameron DeJac, Clayton McGuire 2026-02-25T20:57:22Z 置信度 0.70
• Interpretable Deep Learning Model for Multiclass Brain Tumor Classification
  crossref Raihana Tasnim, Kaushik Roy, Madhuri Siddula 2025-03-04T18:39:11Z 置信度 0.70
• Fair Federated Learning via Bounded Group Loss
  crossref Shengyuan Hu, Zhiwei Steven Wu, Virginia Smith 2024-05-10T17:22:05Z 置信度 0.70
• Research on Object Detection and Tracking Based on Deep Learning
  crossref Jing Pan 2024-09-19T13:22:29Z 置信度 0.70
• Research on Business Incubator Evaluation System Based on Support Vector Machine and Machine Learning
  crossref Doudou Yao 2024-12-18T19:24:36Z 置信度 0.70
• A Bayesian Perspective on Machine Learning
  crossref 2024-07-12T21:19:15Z 置信度 0.70
• Evaluation und Performance-Messung
  crossref Thomas Bartz-Beielstein 2024-09-19T14:13:15Z 置信度 0.70
• Metaheuristic Methods for Dimensional Reduction
  crossref 2024-11-08T21:32:12Z 置信度 0.70
• Mmt-Vin: An Intelligent Lung Cancer Detection Framework Utilizing Machine Learning
  crossref 2024-10-24T03:33:54Z 置信度 0.70
• Machine Translation Using Deep Learning
  crossref Usman Qamar, Muhammad Summair Raza 2024-06-10T20:09:12Z 置信度 0.70
• Examining Graduates' Job-Readiness, Employability Skills, and Awareness using machine learning
  crossref 2024-07-16T03:18:08Z 置信度 0.70
• Copyright
  crossref 2024-02-19T04:15:17Z 置信度 0.70
• Dedication
  crossref 2024-07-19T05:36:25Z 置信度 0.70
• A Study on the Prediction of Bike Availability Using Machine Learning
  crossref 2024-07-31T09:27:20Z 置信度 0.70
• Research on Optimization and Implementation of Education-Theory-Driven Intelligent Learning System Based on Machine Learning
  crossref 2025-01-07T08:20:07Z 置信度 0.70
• Enhance Learning Performance Predictions with Explainable Machine Learning
  crossref Wan-Chong Choi, Chan-Tong Lam, António José Mendes 2025-02-26T18:43:35Z 置信度 0.70
• Machine Learned Material Simulation
  crossref N. M. Anoop Krishnan, Hariprasad Kodamana, Ravinder Bhattoo 2024-05-06T21:01:45Z 置信度 0.70
• A Novel Tiny Open-Source Board BioRon_EEG for Dry Active Electrode
  This paper introduces an open-source active high-precision signal amplifier designed for enhancing biodata acquisition, specifically focusing on EEG signals. The compact device, with a diameter of 18 mm, seamlessly integrates electronics, signal processing, an…
  crossref ildar rakhmatulin 2024-09-27T01:04:10Z 置信度 0.70
• Review of Machine Learning and Artificial Intelligence in Health Care
  This paper explores the emerging role of machine learning in healthcare, underscoring its potential to enhance diagnostic precision, optimize treatment strategies, and improve patient outcomes through data analysis. It emphasizes that its integration can revol…
  crossref Sivudu Macherla 2025-04-09T16:12:39Z 置信度 0.70
• Applications of Bioinformatics and Machine Learning Algorithms in Survival Analysis of Cancer Patients
  crossref Aakansha Singh, Anjana Dwivedi 2025-06-09T15:50:39Z 置信度 0.70
• Real-Time Monitoring and Control Using Machine Learning in Industry
  crossref Harpreet Kaur Channi, Raman Kumar, Swapandeep Kaur, Sehijpal Singh 等 2025-10-29T15:02:02Z 置信度 0.70
• Machine Learning-Based Robotic Control: A Dual Approach Using Linear and Support Vector Regression
  The study on Data Robot Implementation explores the development, modeling, and performance evaluation of intelligent robotic systems that combine both traditional control methods and data-driven machine learning approaches. It explores the transition from cont…
  crossref Rajender Radharam 2026-06-04T09:15:21Z 置信度 0.70
• Machine Learning for Everyone: Simplifying Healthcare Analytics with BigQuery ML
  crossref Mohammad Amir Salari, Rahmani B 2025-03-05T12:22:28Z 置信度 0.70
• Ocean models for climate applications : progress expected from Machine Learning
  As an ocean and climate modeller, I propose to expose a few venues of ocean modelling where Machine Learning (ML) is expected to break through persistent challenges. My prime target is the numerical representation of the global ocean, with distinguishable coar…
  crossref Julie Deshayes 2025-03-15T01:45:01Z 置信度 0.70
• Machine Learning for Volatility Prediction and Options Trading: A Comprehensive Analysis
  This paper examines the application of machine learning (ML) techniques-Support Vector Machines (SVMs), XGBoost, Long Short-Term Memory (LSTM) networks, and Generalized Autoregressive Conditional Heteroskedasticity (GARCH) models-in predicting stock market vol…
  crossref Trammell Whitfield 2025-09-04T16:25:59Z 置信度 0.70
• Using Machine Learning to Enhance SAP Cloud's Predictive Capabilities
  crossref Lawal G. Anand 2025-08-21T09:36:33Z 置信度 0.70
• Machine Learning Applications for Earthquake Magnitude Prediction in Western Türkiye
  crossref Ilknur Kaftan 2025-04-29T06:59:01Z 置信度 0.70
• Estimating the hydrogen bond strength by machine learning approaches
  The capabilities of regression models was investigated to predict the hydrogen bond energy based on partial charges, bond orders, bond distances and element types. Support vector regression in combination with gradient boosting resulted in a mean absolute perc…
  crossref Nahera Samangani, Stefan Zahn 2025-08-25T04:37:51Z 置信度 0.70
• Exponential Family and Residuals for Machine Learning
  crossref Jaime Cavalcante, Patrícia Leone Espinheira 2025-07-11T21:36:51Z 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
• Exploring Machine Learning Models to Detect Outliers in HydroMet Sensors
  Iram Parvez1, Massimiliano Cannata2, Giorgio Boni1, Rossella Bovolenta1 ,Eva Riccomagno3 , Bianca Federici11 Department of Civil, Chemical and Environmental Engineering (DICCA), Università degli Studi di Genova, Via Montallegro 1, 16145 Genoa, Italy (…
  crossref Iram Parvez 2024-03-08T13:34:41Z 置信度 0.70
• Introduction
  crossref A. C. Faul 2025-03-25T02:29:52Z 置信度 0.70
• Prediction of Survey Item Nonresponse Through Supervised Machine Learning
  This study investigates response patterns to political questions in the European Social Survey and identifies latent classes based on item nonresponse using Latent Class Analysis. Three distinct latent classes were identified: a politically engaged group with …
  crossref Eric Ohemeng 2025-08-26T00:09:58Z 置信度 0.70
• Optimized Feature Engineering for Machine Learning-Based Financial Trend Prediction
  crossref Bin Zhou 2025-11-11T08:42:42Z 置信度 0.70
• Review for "Decoding lithium's subtle phase stability with a machine learning force field"
  crossref 2025-02-19T16:15:26Z 置信度 0.70
• Review for "Premolar Ecomorphology in Anthropoid Primates: A Machine Learning Approach"
  crossref 2025-10-01T00:13:00Z 置信度 0.70
• Review for "Decoding lithium's subtle phase stability with a machine learning force field"
  crossref 2025-02-19T16:15:26Z 置信度 0.70
• Large-scale integrated optoelectronic chaos for machine learning acceleration
  Abstract Chaos finds widespread use in modern machine learning, yet its implementations in traditional nonlinear circuits have encountered speed bottlenecks due to ever-expanding computational needs. The optical chaotic source offers an attractive alternative,…
  crossref Jijun He 2025-10-22T18:45:55Z 置信度 0.70
• Machine Learning Models for Dynamic Load Balancing in Edge Computing
  In edge computing, dynamic load balancing guarantees optimal resource allocation and lowers latency in distributed systems. In order to facilitate real-time decision-making and effective resource use, this work investigates the integration of machine learning …
  crossref Ravikumar Perumallaplli 2025-05-06T16:05:15Z 置信度 0.70
• Machine Learning for Economic Forecasting: A Sentiment and Time-Series
  The integration of unstructured textual data with quantitative economic indicators remains a critical challenge in financial forecasting. This study proposes a hybrid framework that combines sentiment analysis of financial news (via FinBERT) with time-series m…
  crossref Wenbin Zhao 2025-04-07T06:55:35Z 置信度 0.70
• Exploring Sentiment Patterns in ChatGPT Interactions: A Machine and Deep Learning Approach to Sentiment Classification
  crossref Andrew Jonathan, Cornelius Karel Halim, Lili Ayu Wulandhari, Ghinaa Zain Nabiilah 2025-07-22T18:00:49Z 置信度 0.70
• Symptom Based Disease Prediction Using Machine Learning Techniques
  crossref Yuvan Krishna. M, Dr.A. Mythili 2025-04-20T19:16:01Z 置信度 0.70
• Handling Class Imbalance in Student Success Prediction Using Machine Learning: A Comparison of SMOTE and SMOTETomek
  crossref Ridwan Setiawan, Edi Nursasongko, Abdul Syukur, Fikri Budiman 等 2025-07-22T18:00:49Z 置信度 0.70
• Real-Time Subtitle Generation for Live Videos Using AI and Machine Learning
  crossref Sahil Anand, Shristi Priya, SK SS Shameem 2025-06-27T17:42:05Z 置信度 0.70
• Correction to “Comparing Scientific Machine Learning With Population Pharmacokinetic and Classical Machine Learning Approaches for Prediction of Drug Concentrations”
  crossref 2025-03-26T04:27:31Z 置信度 0.70
• Machine Learning and Hybrid Models for Placement Prediction and Career Path Forecasting
  Predicting student placement and forecasting career trajectories have become critical challenges in higher education due to the increasing complexity of skill requirements and dynamic labor market demands. Traditional statistical approaches often fail to captu…
  crossref Rohini Chittakula, C. Senthilkumar 2025-10-30T09:41:08Z 置信度 0.70
• Aesthetic chills modulate reward learning in anhedonic depression
  crossref Abhinandan Jain, Felix Schoeller, Shiba Esfand, Jessica Duda 等 2024-10-11T06:43:55Z 置信度 0.70
• Prediction of Rainfall in One of the Wettest Regions in India Using Machine Learning Methods
  crossref Vishal Singh, Japjeet Singh, Sanjay Kumar Jain, Pushpendra Kumar Singh 2024-11-04T19:04:25Z 置信度 0.70
• Learning Low‐Dimensional Representations of Ensemble Forecast Fields Using Autoencoder‐Based Methods
  Abstract Large‐scale numerical simulations often produce high‐dimensional gridded data, which is challenging to process for downstream applications. A prime example is numerical weather prediction, where atmospheric processes are modeled using discrete gridded…
  crossref Jieyu Chen, Kevin Höhlein, Sebastian Lerch 2025-10-28T13:09:44Z 置信度 0.70
• Season‐Net: A Deep Learning Framework for Bias Correction of Seasonal Forecasting Models
  Abstract Seasonal climate forecasts play a crucial role in decision‐making across sectors like agriculture, energy, and disaster management. However, these forecasts often exhibit spatially structured biases that undermine their reliability, but this structure…
  crossref Zahir Nikraftar, Rendani Mbuvha, Mojtaba Sadegh, Willem A. Landman 2025-10-17T09:57:28Z 置信度 0.70
• Artificial Intelligence and Machine Learning as Enablers of Energy Transition
  Artificial Intelligence (AI) and Machine Learning (ML) have emerged as central tools in addressing the complexity of modern energy systems. The global transition towards low-carbon and decentralized energy infrastructures requires advanced analytical methods t…
  crossref Eliseo Curcio 2025-09-17T17:52:17Z 置信度 0.70
• Identifying Potential Missteps of Machine Learning in Molecular Chemistry
  Machine learning-based methods are widely used today in chemical tasks, particularly in drug design. Graph Convolutional Neural Networks (GCNNs) compete with one another in predicting chemical properties, achieving errors comparable with those of experimental …
  crossref Anastasiia Smirnova, Artem Mitrofanov 2025-03-07T03:45:26Z 置信度 0.70