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• Data Mining and Machine Learning with Applications
  The Special Issue entitled "Data Mining and Machine Learning with Applications aimed to connect researchers in the fields of deep learning, artificial intelligence, data mining, and machine learning. Included within this reprint are all the accepted articles t…
  crossref 2024-02-27T13:57:51Z 置信度 0.82 computer sciencedata scienceartificial intelligencefieldbig data
• Review for "MolToxPred: small molecule toxicity prediction using machine learning approach"
  crossref 2024-01-31T16:18:37Z 置信度 0.66
• Privacy Amplification in Quantum Key Distribution with Machine Learning
  The Quantum Key Distribution (QKD) method leverages the principles of quantum mechanics to securely create and distribute private keys using quantum systems and an authenticated public classical channel. Despite offering informationtheoretical security, its ph…
  crossref Nipun Agarwal 2024-07-15T15:40:41Z 置信度 0.82 quant-phcryptography and securityquantumcomputer securitykey
• Proceedings of the 2024 2nd International Conference on Machine Learning and Pattern Recognition
  crossref 2024-12-17T04:58:59Z 置信度 0.66
• On BiasWrappers: New Regularization Techniques for Machine Learning Regression
  Regressive models in machine learning require regularization to balance the bias-variance tradeoff and attain realistic predictions in the real world. Two new regularization techniques, referenced as BiasWrappers, will be discussed in this paper: BiasWrapperC1…
  crossref Karthik Singaravadivelan 2024-02-12T09:00:21Z 置信度 0.82 computer sciencecs.lgartificial intelligencestat.mlcs.ai
• Gaze sequence enhanced with machine learning
  Gaze sequencing, the analysis of the order and duration of eye fixations, plays a crucial role in understanding human behavior, cognitive processes, and decision-making. It has applications in various fields such as human-computer interaction, healthcare, psyc…
  crossref Kelvin Jackson 2024-02-14T00:00:55Z 置信度 0.82 computer sciencedata sciencecognitive sciencepsychologytransformative learning
• Stock Market Prediction Using Machine Learning: Evidence from India
  crossref Subhamitra Patra, Trilok Nath Pandey, Biswabhusan Bhuyan 2024-08-26T22:02:03Z 置信度 0.66
• Title Page iii
  crossref 2024-05-10T17:22:05Z 置信度 0.59
• Linear threshold machines
  crossref Marco Gori, Alessandro Betti, Stefano Melacci 2023-06-05T05:21:34Z 置信度 0.61
• Classification
  crossref Carlos A. Escobar, Ruben Morales-Menendez 2024-03-22T09:07:52Z 置信度 0.59
• Answers to exercises
  crossref Marco Gori, Alessandro Betti, Stefano Melacci 2023-06-05T05:21:43Z 置信度 0.57
• Back Matter
  The back matter includes Bibliography, Index, and back cover.
  crossref 2024-04-11T18:47:43Z 置信度 0.64
• AI-Powered Anomaly Detection for Kubernetes Security: A Systematic Approach to Identifying Threats
  This study delves into the intricacies of AI-based threat detection in Kubernetes security, with a specific focus on its role in identifying anomalous behavior. By harnessing the power of AI algorithms, vast amounts of telemetry data generated by Kubernetes cl…
  crossref Arvind Kumar Bhardwaj, P.K. Dutta, Pradeep Chintale 2024-08-27T00:20:32Z 置信度 0.73 computer sciencecomputer securitycloud computingcomputer and information sciencesdistributed computing
• Bank Customer Churn Prediction Using Machine Learning Framework
  crossref Rasha Ashraf 2024-03-13T10:18:50Z 置信度 0.66
• Fortifying Network Security with Machine Learning
  The pervasive integration of machine learning in various domains has positioned it at the forefront of technological advancements, with cybersecurity being a significant beneficiary. In this paper, we explore the widespread adoption of machine learning techniq…
  crossref Ashley Audrey Innocent Yanguema 2024-01-06T13:11:16Z 置信度 0.82 computer sciencecs.lgartificial intelligencemachine learningcomputer security
• Machine learning algorithms in personalized treatment planning
  Machine learning algorithms are revolutionizing personalized treatment planning by analyzing patient data to create tailored interventions. These algorithms optimize treatment strategies, improve outcomes, and minimize adverse effects, enabling precision medic…
  crossref Kiran Kumar Maguluri 2025-01-16T05:02:51Z 置信度 0.76
• Machine Learning Evaluation
  As machine learning applications gain widespread adoption and integration in a variety of applications, including safety and mission-critical systems, the need for robust evaluation methods grows more urgent. This book compiles scattered information on the top…
  crossref Nathalie Japkowicz, Zois Boukouvalas 2024-11-07T00:06:30Z 置信度 0.82 computer scienceartificial intelligencemachine learningcs.lgconvolutional neural network
• Applications of artificial intelligence, machine learning, and deep learning in plant breeding
  crossref 2024-09-24T12:45:10Z 置信度 0.66
• Introduction
  crossref Carlos A. Escobar, Ruben Morales-Menendez 2024-03-22T09:07:43Z 置信度 0.59
• Authors
  crossref 2024-08-15T17:18:59Z 置信度 0.59
• The big picture
  crossref Marco Gori, Alessandro Betti, Stefano Melacci 2023-06-05T05:21:30Z 置信度 0.57
• Front Matter
  METAHEURISTICS for MACHINE LEARNING The book unlocks the power of nature-inspired optimization in machine learning and presents a comprehensive guide to cutting-edge algorithms, interdisciplinary insights, and real-world applications. The field of metaheuristi…
  crossref 2024-03-29T21:41:43Z 置信度 0.82 computer scienceartificial intelligencemachine learningdata sciencecs.lg
• Copyright Page
  crossref 2025-04-29T17:29:35Z 置信度 0.59
• Insights into Deep Learning and Non-Deep Learning Techniques for Code Clone Detection
  A source code clone is a type of bad smell caused by pieces of code that have the same functional semantics, but the syntactical representation varies. In the past few years, there have been several studies about code clone detection, steered by numerous machi…
  crossref Ajinkya Kunjir 2024-05-10T11:38:12Z 置信度 0.82 computer scienceartificial intelligencedeep learningcs.lginterpretability
• Using machine learning to provide understanding along with results
  A cyclical implementation of machine learning algorithms provides insights into physical mechanisms, improving efficiency.
  crossref Avery Thompson 2024-08-09T12:39:50Z 置信度 0.74
• Early detection approach for analysis of osteoarthritis using artificial intelligence and machine learning
  crossref Chander Prabha 2024-11-22T05:37:30Z 置信度 0.66
• Galaxy Classification with Machine Learning
  Galaxy classification, a fundamental task in astronomy, involves categorizing galaxies based on their morphological features. To streamline this process and reduce manual effort, researchers have turned to machine learning methods. A recent study explored seve…
  crossref Abhinav Singh, Prashante ., Indra Kumari 2024-08-28T09:10:19Z 置信度 0.82 artificial intelligenceconvolutional neural networkcomputer sciencedeep learningmachine learning
• Review for "Prediction of hydrogel swelling states using machine learning methods"
  crossref 2024-05-04T17:08:25Z 置信度 0.66
• Prediction of Neonatal Mortality from Jaundice Using Machine Learning
  Around the world, jaundice – a birth complication – is the primary cause of newborn mortality and morbidity. As more is discovered about the causes of this illness and possible therapies, the severity of the conditions may lessen. While some progress has been …
  crossref Mayank Srivastava, Yajur, Sujata 2024-11-22T14:16:12Z 置信度 0.82 artificial intelligenceintensive care medicinecomputer scienceconvolutional neural networkbrain-computer interface
• Development of a Machine Learning derived Anticholinergic Burden Scale (ML-ACB scale): A Machine Learning Approach with Enhanced Drug Properties and Weighting
  Aim: This study aims to refine the anticholinergic burden (AB) scale developed in our previous research by incorporating additional drug properties, such as Lipophilicity and Molecular Weight, and implementing a new weighting approach to address the varying in…
  crossref Oteng Phutietsile, Nikoletta Fotaki, Prasad Nishtala 2024-10-03T06:32:12Z 置信度 0.82 internal medicinemedicineintensive care medicinepsychologymathematics education
• Author comment: Machine learning for stochastic parametrization — R0/PR1
  Atmospheric models used for weather and climate prediction are traditionally formulated in a deterministic manner. In other words, given a particular state of the resolved scale variables, the most likely forcing from the subgrid scale processes is estimated a…
  crossref Hannah Christensen 2025-01-22T04:57:24Z 置信度 0.82 environmental sciencecomputer sciencecs.lgclimate changeastrobiology
• Deep Learning Machine Vision
  Wie können industrielle Bildverarbeitung (IBV), 3D-Technologie und Robotik die Fertigungsprozesse und Lieferketten für Elektrobatterien unterstützen? Dies war im Juni 2024 auf der Branchenveranstaltung in Stuttgart zu sehen.
  crossref 2024-09-18T03:58:50Z 置信度 0.80 philosophypolitical sciencedigital twinmechanical engineeringai governance
• Internet of Things and Machine Learning for Type I and Type II Diabetes
  crossref 2024-07-19T06:25:56Z 置信度 0.66
• Breast Cancer Prediction Using a Machine Learning Approach
  Every year, millions of people are dying due to cancer. Cancer is a group of diseases that involves abnormal or out-of-control cell growth. The actual reason for this abnormal cell growth is still unknown. This abnormal cell growth can spread to other parts of…
  crossref Arijit Ghosal, Harshita Somolu, Suchibrota Dutta 2024-04-19T18:45:33Z 置信度 0.82 medicinecancerbiologyinternal medicinepharmacology
• Machine Learning—Automated Machine Learning (AutoML) for Disease Prediction
  crossref Jason H. Moore, Pedro H. Ribeiro, Nicholas Matsumoto, Anil K. Saini 2023-11-04T05:08:25Z 置信度 0.64
• Proceedings
  crossref 2024-07-23T17:37:15Z 置信度 0.59
• Unsupervised Anomaly Detection
  This research focuses on Unsupervised Anomaly Detection using the "ambient_temperature_system_failure.csv" dataset from Numenta Anomaly Benchmark (NAB). The dataset contains time-series temperature readings from an industrial machine's sensor. The aim is to de…
  crossref Suliman Alnutefy, Ali Alsuwayh 2024-02-04T14:25:56Z 置信度 0.82 computer scienceartificial intelligencemachine learningcs.lgcomputer and information sciences
• Speaker identification using hybrid subspace, deep learning and machine learning classifiers
  Abstract Speaker identification is crucial in many application areas, such as automation, security, and user experience. This study examines the use of traditional classification algorithms and hybrid algorithms, as well as newly developed subspace classifiers…
  crossref Serkan KESER, Esra GEZER 2024-05-14T07:03:25Z 置信度 0.82 computer scienceartificial intelligencebrain-computer interfaceconvolutional neural networkcs.lg
• Machine learning with sklearn
  This chapter’s goal is to show how to apply machine learning algorithms in a general setting using some classic methods. In particular, it demonstrates how to apply three important machine learning algorithms, a support vector classifier (SVC), a random forest…
  crossref Thomas P. Trappenberg 2020-01-23T10:54:18Z 置信度 0.79 cs.lgartificial intelligencecomputer sciencestat.mlmachine learning
• DDoS Detection using Machine Learning
  In the cybersecurity domain, Denial of Service (DoS) attacks maliciously disrupt the availability of systems, inundating them with packets or requests. Distributed Denial of Service (DDoS) attacks compound this challenge, utilizing multiple compromised sources…
  crossref Nour Ahmed Nagah, Mariam Bahaa, Wael Farouk Elsersy 2024-07-11T17:39:34Z 置信度 0.82 computer securitycs.crcryptography and securitycs.aicomputer and information sciences
• Optimized Extreme Learning Machine with Bacterial Colony Optimization Algorithm for Disease Diagnosis in Clinical Datasets
  crossref P. Vigneshvaran, A. Vijaya Kathiravan 2024-05-26T17:01:17Z 置信度 0.66
• Clinical Applications of Machine Learning
  Objective: This review introduces interpretable predictive machine learning approaches, natural language processing, image recognition, and reinforcement learning methodologies to familiarize end users. Background: As machine learning, artificial intelligence,…
  crossref Nadayca Mateussi, Michael P. Rogers, Emily A. Grimsley, Meagan Read 等 2024-04-18T14:00:05Z 置信度 0.82 artificial intelligencecomputer sciencemachine learningcs.lgdeep learning
• Copyright Page
  crossref 2024-11-21T19:04:04Z 置信度 0.59
• Unveiling Diagnostic Precision: Evaluating Machine Learning and Deep Learning Approaches for Pneumonia Recognition of COVID-19 Patients Using Chest X-Rays
  crossref Nakiba Nuren Rahman, Rashik Rahman, Nusrat Jahan, Md. Akhtaruzzaman Adnan 2024-08-13T17:03:06Z 置信度 0.66
• Freeze the motion: Machine learning for motion correction
  crossref Haikun Qi, Chen Qin 2025-12-22T14:06:00Z 置信度 0.66
• MATLAB Machine Learning Recipes
  Harness the power of MATLAB to resolve a wide range of machine learning challenges. This new and updated third edition provides examples of technologies critical to machine learning. Each example solves a real-world problem, and all code provided is executable…
  crossref Michael Paluszek, Stephanie Thomas 2024-03-01T13:02:27Z 置信度 0.82 computer scienceartificial intelligencecognitive sciencecs.lgfield
• AI-Powered Ecommerce
  This book takes you from decoding ecommerce business models to optimizing efficiency in AI-powered ecommerce, with strategies for success.
  crossref Ramgopal Prajapat 2024-12-13T13:17:40Z 置信度 0.66
• Machine learning for bone deformation detection in real-world applications
  crossref Chandrakant Mahobiya, Sailesh Suryanarayan Iyer 2024-11-22T05:37:30Z 置信度 0.66
• The Importance of Feature Engineering in Machine Learning Model Development
  Feature engineering is a fundamental step in machine learning (ML) model development that involves transforming raw data into meaningful features to enhance model performance. This process can greatly influence the accuracy, interpretability, and efficiency of…
  crossref Dr. Carlos Fernández 2026-03-31T07:25:34Z 置信度 0.82 artificial intelligencecs.lgmachine learningcomputer scienceinterpretability
• Evolutionary Approaches to Explainable Machine Learning
  crossref Ryan Zhou, Ting Hu 2023-11-01T05:06:35Z 置信度 0.64
• Title Page i
  crossref 2024-05-10T17:22:05Z 置信度 0.59
• Author biography
  crossref 2024-01-19T09:16:27Z 置信度 0.59
• Automating Data Engineering Workflows with AI and Machine Learning
  Data engineering is a critical component of modern data-driven organizations, encompassing the extraction, transformation, and loading (ETL) of data, as well as the management and optimization of data pipelines. The increasing volume, velocity, and variety of …
  crossref Aditya Banerjee 2025-06-25T09:25:21Z 置信度 0.82 data sciencecomputer sciencebig datahealth carecloud computing
• Traditional and Machine-Learning Methods for Efficacy Analysis
  crossref Ton J. Cleophas, Aeilko H. Zwinderman 2019-09-03T12:33:35Z 置信度 0.64
• Smart Health: Advancements in Machine Learning and the Internet of Things Solutions
  This chapter examines the transformative intersection of healthcare analytics, Machine Learning (ML), and the Internet of Things (IoT), exploring how these state-of-the-art technologies reshape healthcare delivery. This chapter focuses on the benefits brought …
  crossref Narasimha Rao Vajjhala, Philip Eappen 2024-10-02T15:32:01Z 置信度 0.82 health caretransformative learninginternet of thingsdata sciencecomputer security
• Real Time Sign Language Translator Using Machine Learning
  In today's interconnected world, effective communication is fundamental. For the deaf and mute community, communicating with those who don't understand sign language is challenging. To bridge this gap, we propose a web app translating sign language into spoken…
  crossref Ms. Pradnya Repal 2024-06-10T10:11:01Z 置信度 0.82 cs.clcomputer vision and pattern recognitioncs.hcembodied cognitioncs.ir
• Human Machine Interface Through Electromyography
  This study aimed to compare different continuous electromyography (EMG)--based interface styles for forecasting wrist and hand motions. The interfaces are moving towards continuous, simultaneous control with many degrees of freedom, utilizing data-driven strat…
  crossref Dumpeti Moses Manohar, Tirumani Prakash, Gonnuri Prudhvi, S. Teena Mrudhula 2025-05-23T17:02:44Z 置信度 0.82 brain-computer interfacephysical medicine and rehabilitationcomputer sciencemotor imageryelectroencephalography
• Machine Learning
  crossref Arshad Khan 2024-07-29T08:02:54Z 置信度 0.66
• Machine learning
  crossref Guohui Li 2024-04-05T04:23:28Z 置信度 0.66
• Vision Bridge: Empowering Blind Individuals Using Machine Learning
  crossref 2024-11-28T05:48:53Z 置信度 0.66
• The AI Playbook
  In his bestselling first book, Eric Siegel explained how machine learning works. Now, in The AI Playbook, he shows how to capitalize on it. “Eric Siegel delivers a robust primer on machine learning, the key mechanism in AI. A forward-looking, practical book an…
  crossref Eric Siegel 2024-02-06T19:44:47Z 置信度 0.76
• Beyond Single Biomarkers: Multimodal Machine Learning for Precision Medicine Across Clinical Specialties
  This article is a preprint and has not yet been peer-reviewed. Not for clinical use. Precision medicine has traditionally relied on individual biomarkers to guide diagnosis, risk stratification, and treatment selection. However, most clinical phenotypes arise …
  crossref Simbarashe Magwenzi 2026-06-09T09:09:31Z 置信度 0.82 artificial intelligencemedicinecomputer sciencemachine learningdata science
• Optimizing Machine Learning for ResourceConstrained Devices: A Comparative Analysis of Preprocessing Techniques and Machine Learning Algorithms
  One of the challenges in the rapid development of Internet of Things (IoT) and edge computing is deploying machine learning (ML) models on resource constrained devices (RCD). Preprocessing methods are important for improving ML model performance, especially wh…
  crossref Abdul Haseeb, Ian Cleland, Chris Nugent, James McLaughlin 2024-07-29T19:00:45Z 置信度 0.82 computer scienceartificial intelligencecomputer and information sciencescs.lgbrain-computer interface
• Advancing Clinical Decision-Making: Utilizing Machine Learning to Predict Postoperative Stroke Following Craniotomy
  Abstract Objection: Postoperative stroke (PS) represents a significant and grave complication, which often remains challenging to detect until clear clinical symptoms emerge. The early identification of populations at high risk for perioperative stroke is esse…
  crossref Tianyou Lu, Qin Huang, Tongsen Luo, Yaxin Lu 等 2024-04-09T12:57:53Z 置信度 0.82 medicinebiological sciences not elsewhere classifiedartificial intelligencemachine learningcs.lg
• Chapter 7 Neural Networks and Deep Learning
  crossref 2024-08-22T18:47:27Z 置信度 0.63
• LOGIC OF DECEPTION IN MACHINE LEARNING
  crossref 2024-04-01T13:25:24Z 置信度 0.66
• Risk Assessment Framework for Data Leakage Prevention Using Machine Learning Techniques
  Data leakage remains a critical concern for organizations handling sensitive information, requiring effective risk assessment methods to identify potential vulnerabilities. This paper proposes a machine learning-based framework for assessing data leakage risks…
  crossref Xiaolan Wu, Juan Li, Wenkun Ren 2026-01-07T18:32:21Z 置信度 0.82 computer sciencecomputer and information sciencescs.aiartificial intelligencehealth care
• Artificial Neural Network Application on Weather Forecasting using Machine Learning Approaches
  crossref 2024-03-27T05:19:10Z 置信度 0.66
• Front Matter
  The front matter includes the Title page, Series page, Copyright page, TOC, Preface, and List of Figures.
  crossref 2024-04-11T18:47:43Z 置信度 0.64
• Machine Learning Methods for Multi-Omics Data Integration
  This book covers the latest multi-omics technologies, machine learning techniques for data integration, and multi-omics databases for validations.
  crossref 2023-11-13T20:01:33Z 置信度 0.72
• A Machine Learning Approach for Deriving Atmospheric Temperatures and Typhoon Warm Cores From FY‐3E MWTS‐3 Observations
  Abstract Machine learning has gained an increasing popularity in the fields of satellite retrieval and numerical weather modeling. In this study, machine‐learning (ML) neural‐network (NN) models are utilized to retrieve atmospheric temperatures from observatio…
  crossref Zeyi Niu, Xiaolei Zou 2024-09-25T16:10:02Z 置信度 0.82 climatologygeologyastrophysicsartificial neural networkenvironmental science
• Machine Learning in Clinical Medicine
  crossref Jingli Ren, Yiwen Tao 2026-02-12T08:17:14Z 置信度 0.66
• Quantum and machine learning applications involving matrices
  crossref Charles R. Giardina 2024-02-16T10:15:06Z 置信度 0.66
• An Enhanced Machine Learning-Based Approach for Analysis and Prediction of Student Performance in Classroom Learning
  crossref 2024-08-30T03:27:49Z 置信度 0.66
• Initial Selection and Subsequent Updating of OML Models
  crossref Thomas Bartz-Beielstein 2024-02-05T05:02:18Z 置信度 0.59
• Early Warning System of Attrition in the BPO Industry Using Machine Learning Classification Models
  Employee attrition is one of the factors affecting gross margin erosion in the BPO industry, the fastest-growing industry in the Philippines, due to hiring and training costs. The cost of employee attrition depends on the employee's role and salary/wage level.…
  crossref Sandrilito Abogada, Laurence Usona 2024-04-06T10:23:37Z 置信度 0.82 convolutional neural networkbrain-computer interfaceelectroencephalographybenchmarkphysical medicine and rehabilitation
• Evolutionary Algorithms for Fair Machine Learning
  crossref Alex Freitas, James Brookhouse 2023-11-01T05:06:35Z 置信度 0.64
• Machine Learning-Based Analytics for Premature Rheumatoid Arthritis and Osteoarthritis Detection in Clinical Practices—A Review
  People experience significant health discomfort as a result of rheumatoid arthritis (RA) and osteoarthritis (OA). There are numerous other types of arthritis that have an impact on people’s comfort and efficiency. In terms of using computer-aided diagnostic so…
  crossref Kumar M. Ganesh, Agam Das Goswami 2025-09-02T12:03:00Z 置信度 0.82 computer sciencedata sciencecognitioncontextinterpretability
• Machine-learning operations streamlined clinical workflows of DNA methylation-based CNS tumor classification
  Abstract Background The diagnosis and grading of central nervous system (CNS) tumors, which was traditionally relied on histology, has been enhanced significantly by molecular testing, including DNA methylation profiling, which has been widely adopted for tumo…
  crossref Alexander L Markowitz, Dejerianne G Ostrow, Chern-Yu Yen, Xiaowu Gai 等 2024-01-26T18:35:12Z 置信度 0.82 computer scienceartificial intelligencemedicinecomputer and information sciencescs.lg
• GFPrint™: A MACHINE LEARNING TOOL FOR TRANSFORMING GENETIC DATA INTO CLINICAL INSIGHTS
  ABSTRACT The increasing availability of massive genetic sequencing data in the clinical setting has triggered the need for appropriate tools to help fully exploit the wealth of information these data possess. GFPrint ™ is a proprietary streaming algorithm desi…
  crossref Guillermo Sanz-Martín, Daniela Paula Migliore, Pablo Gómez del Campo, José del Castillo-Izquierdo 等 2024-03-12T21:14:49Z 置信度 0.82 biologycancermedicinecomputational biologygenetics
• IoT-driven machine learning mechanisms for healthcare applications
  The integration of Internet of Things (IoT) and machine learning algorithms has revolutionized biomedical applications by enabling the analysis of vast amounts of data from interconnected devices. This chapter explores the potential of IoT-enabled machine lear…
  crossref Gopalakrishnan Karuppaiah, Karthikeyan Velayuthapandian, Sridhar Raj Sankara Vadivel 2024-10-04T11:24:27Z 置信度 0.82 computer scienceartificial intelligencehealth caredata sciencemachine learning
• Enhancing clinical decision-making in closed pelvic fractures with machine learning models
  Closed pelvic fractures can lead to severe complications, including hemodynamic instability (HI) and mortality. Accurate prediction of these risks is crucial for effective clinical management. This study aimed to utilize various machine learning (ML) algorithm…
  crossref Dian Wang, Yongxin Li, Li Wang 2024-11-29T11:53:48Z 置信度 0.82 medicineinternal medicinebiological sciences not elsewhere classifiedartificial intelligencemedline
• Predicting cognitive decline in Alzheimer’s disease using minimal clinical features: A machine learning approach with the NACC cohort
  Early identification of individuals at risk for Alzheimer’s disease–related cognitive decline is crucial for timely intervention and clinical trial enrollment. We developed a machine learning model using only five routinely collected clinical variables, age, s…
  crossref Maryam Tarkesh Esfahani 2026-06-02T09:48:23Z 置信度 0.82 medicinediseaseinternal medicinepsychologyartificial intelligence
• Advanced Predictive Modeling for Hepatitis C Diagnosis Using Machine Learning
  The hepatitis C virus (HCV) virus, which has infected nearly fifty million individuals across the world, has recently been receiving significant attention. With the advent of artificial intelligence, there is an increasing effort to predict the HCV by utilizin…
  crossref Mahdyeh Abbasi Hezari, Marzieh Baes, Atyeh Abassi Hezari, Mobina Hassanbabaei 2024-11-19T08:53:00Z 置信度 0.82 cs.lgcomputer scienceartificial intelligencemachine learningmedicine
• The Role of Machine Learning in Predicting Energy Consumption Patterns
  Machine learning (ML) techniques have gained significant attention in the prediction of energy consumption patterns due to their ability to handle complex, non-linear relationships within data. This paper explores various ML models, such as regression, classif…
  crossref Dr. Lisa Morgan 2026-03-31T08:00:56Z 置信度 0.82 computer sciencerenewable energyenergy storagecloud computingenvironmental economics
• Predicting Depressive Disorders in Diabetic Workers: A Comparative Analysis of Relevance Vector Machine and Traditional Machine Learning Models
  crossref 2024-10-14T08:53:35Z 置信度 0.66
• Innovation, KPIs, Best Practices, and More for Machine Learning
  crossref Patanjali Kashyap 2023-12-22T12:03:36Z 置信度 0.64
• Car Price Prediction Using Machine Learning
  crossref Rui Chen 2026-02-19T15:45:45Z 置信度 0.66
• RocMLMs: Predicting Rock Properties Through Machine Learning Models
  Abstract Mineral phase transformations significantly alter the bulk density and elastic properties of mantle rocks and consequently have profound effects on mantle dynamics and seismic wave propagation. These changes in the physical properties of mantle rocks …
  crossref Buchanan Kerswell, Nestor G. Cerpa, Andréa Tommasi, Marguerite Godard 等 2024-10-23T06:45:38Z 置信度 0.82 geologyphysicsmeteoriteastrobiologychondrite
• Comparison and Recognition of Images
  This chapter discusses the problem of image matching or locating a known part of the image, which is usually described as a pattern. This type of problem is typical in applications, such as the search for reference points in stereo vision, the location of a ce…
  crossref Erik Cuevas, Alma Nayeli Rodríguez 2024-01-02T16:14:23Z 置信度 0.78 neuromorphic computingai governanceeess.ivconsciousnessphysics.pop-ph
• Clinical Applications of Machine Learning in the Diagnosis, Classification and Prediction of Heart Failure
  Heart failure (HF) remains a leading cause of mortality and morbidity worldwide, necessitating innovative approaches to its diagnosis, classification, and management. This paper explores the transformative potential of machine learning (ML) technologies in the…
  crossref Eman H. Abd-Elkawy, Rabie Ahmed 2024-04-08T11:00:16Z 置信度 0.82 transformative learninghealth caredata sciencemedicinecomputer science
• Machine Learning techniques applied to identifying clinical factors regarding automated medical prognosis
  e de Computação, Universidade de São Paulo, São Carlos -SP, 2022.Algoritmos de Aprendizado de Máquina têm apresentado resultados promissores em diversas áreas do conhecimento, entre elas a medicina preventiva.Ao passo que técnicas de aprendizado profundo têm s…
  crossref Pedro Henrique Ferracini de Barros 2023-01-19T11:43:05Z 置信度 0.79 philosophymedicinepolitical sciencegeneticsgeography
• Predicting Functional Outcomes of Total Hip Arthroplasty Using Machine Learning: A Systematic Review
  The aim of this review was to assess the reliability of machine learning (ML) techniques to predict the functional outcome of total hip arthroplasty. The literature search was performed up to October 2023, using MEDLINE/PubMed, Embase, Web of Science, and NIH …
  crossref Nick D. Clement, Rosie Clement, Abigail Clement 2024-01-22T11:36:41Z 置信度 0.82 medicinemedlinebiotechnologybiological sciences not elsewhere classifiedinternal medicine
• Automated machine learning with R: AutoML tools for beginners in clinical research
  Recently, interest in machine learning (ML) has increased as the application fields have expanded significantly. Although ML methods excel in many fields, establishing an ML pipeline requires considerable time and human resources. Automated ML (AutoML) tools o…
  crossref Youngho Park 2024-09-20T00:48:07Z 置信度 0.82 computer sciencedata sciencecs.aiartificial intelligencecs.lg
• Diagnosing coronaviruses (COVID-19) using machine learning
  crossref Sheikh Burhan Ul Haque, Aasim Zafar, Ahmad Raza Shibli, Samudrala Gourinath 2024-07-19T05:34:32Z 置信度 0.66
• Application of machine learning models for power systems security assessment
  The integration of machine learning techniques in power system security assessment has emerged as a transformative approach to enhancing the reliability and efficiency of electrical grids. This study explores the application of machine learning algorithms for …
  crossref Mukesh Singh, Sushil Chauhan, Ankur Maheshwari 2024-12-19T15:48:22Z 置信度 0.82 computer scienceartificial intelligenceengineeringcomputer and information sciencescs.lg
• Clinical Utility of Psychiatric Neuroimaging: Exploring Psychoradiology and Use of Machine Learning in Psychoradiology
  Psychoradiology, an emerging discipline, applies advanced radiological imaging technologies to psychiatric disorders.Over the past thirty years, progress in brain imaging has significantly enhanced our understanding of psychiatric illnesses and treatment outco…
  crossref Ishaan Bakshi 2023-12-15T06:06:33Z 置信度 0.79 medicineneurosciencepsychologymedical physicsdata science
• Machine Learning Algorithmic Model for Pairs Trading
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