边缘智能 · 全部实体（第 27 / 100 页）

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• Review of: "Generative Artificial Intelligence Using Machine Learning on Wireless Ad Hoc Networks"
  crossref Dimokritos Panagiotopoulos 2024-08-17T18:04:17Z 置信度 0.70
• Review for "Microplastic Detection and Recognition System Enabled by Triboelectric Nanogenerator and Machine Learning Techniques"
  crossref 2026-02-10T21:10:51Z 置信度 0.70
• Review of: "Generative Artificial Intelligence Using Machine Learning on Wireless Ad Hoc Networks"
  crossref Koppala Guravaiah 2024-08-13T06:52:46Z 置信度 0.70
• Peer Review #3 of "Prioritizing bona fide bacterial small RNAs with machine learning classifiers (v0.2)"
  crossref 2019-01-29T01:30:50Z 置信度 0.70
• Review for "FTIR coupled with machine learning to unveil spectroscopic benchmarks in the Italian EVOO"
  crossref 2022-09-08T00:42:25Z 置信度 0.70
• Review for "Evolutionary Machine Learning of Physics-Based Force Fields in High-Dimensional Parameter-Space"
  crossref 2025-06-24T17:05:11Z 置信度 0.70
• The Emergence of Automated Machine Learning (AutoML): Trends and Future Prospects
  Abstract Automated Machine Learning (AutoML) represents a transformative advancement in the field of artificial intelligence, aiming to democratize access to machine learning technologies by automating the complex processes traditionally handled by data scient…
  crossref Arimondo Scrivano 2025-09-04T06:20:48Z 置信度 0.70
• Vehicular Outdoor Localization Using CellularNetwork Signals and Machine Learning
  Abstract Accurate vehicular localization is an essential parameter for enabling intelligent fleet management and predictive maintenance, especially in connected Electric Vehicles (EVs). Global Navigation Satellite Systems, such as the Global Positioning System…
  crossref Abdelrahman Basha, Soumaya Yacout 2026-02-23T03:25:12Z 置信度 0.70
• Review for "Developmental data science: How machine learning can advance theory formation in Developmental Psychology"
  crossref 2022-10-11T17:04:43Z 置信度 0.70
• Review for "Machine learning-driven implementation of workflow optimization in cloud computing for IoT applications"
  crossref 2025-07-10T02:46:52Z 置信度 0.70
• Review for "Machine learning from quantum chemistry to predict experimental solvent effects on reaction rates"
  crossref 2024-01-11T16:11:25Z 置信度 0.70
• Review for "Machine Learning-Driven Security for Malware Detection in Wireless Android Devices"
  crossref 2026-02-04T21:05:29Z 置信度 0.70
• Review for "A clustering machine learning approach for improving concrete compressive strength prediction"
  crossref 2024-06-05T17:07:00Z 置信度 0.70
• Review for "Development and validation of machine learning models to predict frailty risk for elderly"
  crossref 2025-11-11T20:47:13Z 置信度 0.70
• A Review on Bankruptcy Prediction Using Machine Learning Techniques
  Bankruptcy prediction is the most significant way of predicting the financial distress in various firms. It attracts the attention of many researchers and practitioners due to its vast area of finance and accounting research. Due to the impact of modern techno…
  crossref Baiju B, Rufsana A R 2023-08-08T14:42:57Z 置信度 0.70
• Fake News Identification using Machine Learning: A Review
  Fake news refers to false or misleading information presented as legitimate news. It can take many forms, including fabricated stories, doctored images or videos, misleading headlines, and out-of-context information. The spread of fake news is often driven by …
  crossref Ravinder Goyat, Suman Goyat, Deepak Sharma 2024-08-26T16:41:05Z 置信度 0.70
• A Systematic Review on the Applications of Machine Learning for Fetal Birth Weight Prediction
  In order to protect the maternal and infant safety, birth weight is an important indicator during fetal development. A doctor's experience in clinical practice, however, helps estimate birth weight by using empirical formulas based on the experience of the doc…
  crossref 2024-04-27T06:49:26Z 置信度 0.70
• A Review of Machine Learning Methods Applied for Handling Zero-Day Attacks in the Cloud Environment
  Cloud computing is an emerging technological paradigm that provides a flexible, scalable, and reliable infrastructure and services for organizations. Services of cloud computing is based on sharing; thus, it is open for attacker to attack on its security. The …
  crossref Swathy Akshaya M., Padmavathi Ganapathi 2022-07-08T11:31:23Z 置信度 0.70
• Review on Machine and Deep Learning Applications for Cyber Security
  In today's world, everyone is generating a large amount of data on their own. With this amount of data generation, there is a change of security compromise of our data. This leads us to extend the security needs beyond the traditional approach which emerges th…
  crossref Thangavel M., Abiramie Shree T. G. R., Priyadharshini P., Saranya T. 2022-07-08T11:31:23Z 置信度 0.70
• A Comparative Analysis of Deep Learning and Traditional Machine Learning for Classifying Cognitive Workload from Raw EEG Signals
  Abstract The objective assessment of cognitive workload is critical for enhancing performance and safety in high-stakes environments such as aviation and process control. This study presents a comparative analysis of two machine learning paradigms for classify…
  crossref Senushi Dinara 2025-10-09T06:49:06Z 置信度 0.70
• Peer Review Report For: Improved local weather forecasting using machine learning [version 1; peer review: 1 not approved]
  crossref 2025-11-20T11:17:14Z 置信度 0.70
• Adapting Physiologically-Based Pharmacokinetic Models for Machine Learning Applications
  Abstract Both machine learning and physiologically-based pharmacokinetic models are becoming essential components of the drug development process. Integrating the predictive capabilities of physiologically-based pharmacokinetic (PBPK) models within machine lea…
  crossref Sohaib Habiballah, Brad Reisfeld 2023-04-20T04:51:43Z 置信度 0.70
• Review of: "Generative Artificial Intelligence Using Machine Learning on Wireless Ad Hoc Networks"
  crossref Arkin Gupta 2024-09-09T03:59:48Z 置信度 0.70
• Metamaterial Parameter Estimation by Machine Learning Method
  Abstract Artificial neural network modeling is used to synthesize the metamaterial unit cell. Artificial neural networks are powerful tools to establish the relation between inputs and outputs parameters under highly nonlinear conditions. Artificial neural net…
  crossref Shipra Tiwari, Pramod Sharma, Shoyab Ali 2024-07-19T11:09:39Z 置信度 0.70
• Incorporating Machine Learning in Dispute Resolution and Settlement Process for Financial Fraud
  Abstract This paper aims to classify disciplinary hearings into two types (settlement and contested). The objective is to employ binary machine learning classifier algorithms to predict the hearing outcomes given a set of features representing the victims, off…
  crossref Mark 2022-10-05T16:03:37Z 置信度 0.70
• Forecasting water demand for Istanbul by applying different machine learning algorithms
  Abstract This paper applies three machine learning algorithms, namely decision tree, random forest, and AdaBoost, and two hybrid algorithms, particle swarm optimization and genetic algorithm, to monthly water prediction data. Experiments were carried out on th…
  crossref Engin PEKEL 2022-09-29T14:57:46Z 置信度 0.70
• Review of "Auroral Classification Ergonomics and the Implications for Machine Learning" by McKay et al.
  crossref 2020-04-02T09:20:39Z 置信度 0.70
• Review for "Machine Learning Inversion of Interatomic Force Constants from Single-Crystal Inelastic Neutron Scattering"
  crossref 2026-03-17T21:11:08Z 置信度 0.70
• Medical Signal based Depression Classification Method using Machine Learning: A Review and Future Research Directions
  crossref 2025-10-09T04:36:07Z 置信度 0.70
• Review for "A clustering machine learning approach for improving concrete compressive strength prediction"
  crossref 2024-06-05T17:07:00Z 置信度 0.70
• Review of: "A machine learning platform to estimate anti-SARS-CoV-2 activities"
  crossref Babak Sokouti 2021-07-18T05:51:55Z 置信度 0.70
• Review for "Uncertainty-aware and explainable machine learning for early prediction of battery degradation trajectory"
  crossref 2024-09-27T00:06:40Z 置信度 0.70
• Review for "Rapid Recognition of Processed Milk Type Using Electrical Impedance Spectroscopy and Machine Learning"
  crossref 2023-04-03T09:07:45Z 置信度 0.70
• Review for "Application of artificial intelligence and machine learning for prediction of oral cancer risk"
  crossref 2021-03-08T15:38:22Z 置信度 0.70
• Review for "Uncertainty-aware and explainable machine learning for early prediction of battery degradation trajectory"
  crossref 2024-09-27T00:06:40Z 置信度 0.70
• Review of "Property valuation by machine learning for the Norwegian real estate market"
  crossref Bonaventure Molokwu 2021-10-27T03:15:11Z 置信度 0.70
• Review for "Machine Learning Quantifies Fine‐Scale Hairiness in Shore Flies (Diptera: Ephydridae)"
  crossref 2025-10-14T21:14:28Z 置信度 0.70
• Comparative Analysis of Machine Learning Models for Multi-Horizon PM2.5 Forecasting
  Abstract Accurate forecasting of particulate matter (PM2.5) concentrations is critical for public health management and environmental policy-making. This study presents a comprehensive comparison of six machine learning models—Linear Regression, Support Vector…
  crossref Shengqi Shao 2026-01-29T09:03:16Z 置信度 0.70
• Review for "Machine Learning Inversion of Interatomic Force Constants from Single-Crystal Inelastic Neutron Scattering"
  crossref 2026-03-17T21:11:08Z 置信度 0.70
• Review for "Rapid Recognition of Processed Milk Type Using Electrical Impedance Spectroscopy and Machine Learning"
  crossref 2023-04-03T09:07:45Z 置信度 0.70
• Automated Machine Learning—A Brief Review at the End of the Early Years
  crossref Hugo Jair Escalante 2021-07-28T14:02:55Z 置信度 0.70
• Peer Review Report For: Multimodal Machine Learning Approach for Diagnosing Atopic Dermatitis [version 2; peer review: 2 approved]
  crossref 2026-02-17T03:16:06Z 置信度 0.70
• Allocation of virtual machine in a cloud environment based on machine learning
  Abstract Nowadays, the technics of health applications that use the cloud are being developed. However, the existing methods are static and cannot approve dynamic changes in the dynamic environment (for example, when the network and virtual machines (VMs) have…
  crossref Ferdaous kamoun-abid, Hounaida Frikha, Amel Meddeb-Makhoulf, Faouzi Zarai 2023-01-18T05:14:24Z 置信度 0.70
• Peer Review #2 of "Improving clinical refractive results of cataract surgery by machine learning (v0.2)"
  crossref 2019-07-07T02:30:20Z 置信度 0.70
• Review of "Machine Learning and Artificial Intelligence in drug repurposing – challenges and perspectives"
  crossref Hermann Mucke 2024-05-16T05:55:14Z 置信度 0.70
• Review of: "Generative Artificial Intelligence Using Machine Learning on Wireless Ad Hoc Networks"
  crossref Reguieg Hicham 2024-07-29T14:18:03Z 置信度 0.70
• Review of "Machine Learning and Artificial Intelligence in drug repurposing – challenges and perspectives"
  crossref Jordi Quintana 2024-05-10T12:40:14Z 置信度 0.70
• Machine Learning and Prediction of Infectious Diseases: A Systematic Review
  The aim of the study is to show whether it is possible to predict infectious disease outbreaks early, by using machine learning. This study was carried out following the guidelines of the Cochrane Collaboration and the meta-analysis of observational studies in…
  crossref Omar Enzo Santangelo, Vito Gentile, Stefano Pizzo, Domiziana Giordano 等 2023-02-01T05:57:56Z 置信度 0.70
• MACHINE LEARNING and DEEP LEARNING in OPPOSITION to COVID-19: A REVIEW
  crossref 2020-11-01T16:21:37Z 置信度 0.70
• Review for "Machine learning of polyurethane prepolymer viscosity: a comparison of chemical and physicochemical approaches"
  crossref 2025-11-04T21:08:47Z 置信度 0.70
• 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 0.70
• Tiny Little Orbits of Community
  crossref James Silas Rogers 2021-04-25T13:00:16Z 置信度 0.70
• Peer Review #2 of "Comparison of machine learning and deep learning techniques in promoter prediction across diverse species (v0.3)"
  crossref 2021-02-14T01:32:43Z 置信度 0.70
• Tiny predators avoid herbivorous caterpillar traces to prevent revolutionary predation
  Abstract We report the first example of predators having a strategy to avoid ‘revolutionary predation’ by herbivores, i.e. predation on the higher trophic levels by the lower ones. The predatory mites Neoseiulus womersleyi and Euseius sojaensis are smaller tha…
  crossref Shiori Kinto, Shuichi Yano 2025-05-29T09:33:20Z 置信度 0.70
• Comprehensive Exploration of Facial Emotion Recognition using Conventional Machine Learning and Transfer learning Models
  Abstract Facial emotion recognition plays a vital role in enhancing human-computer interaction by allowing machines to perceive and react to human emotions. This paper conducts an in-depth exploration of various methodologies employed for recognizing facial em…
  crossref C Saravanan, M Poonkodi, Prem Sankar 2024-05-03T03:56:55Z 置信度 0.70
• Federated Learning for Privacy-Preserving Smart Cities: A Secure and Scalable Machine Learning Framework
  Abstract The exponential growth of data in smart city infrastructures—from traffic systems to health monitoring and surveillance—has created unprecedented opportunities for machine learning applications. However, centralizing such diverse and sensitive data in…
  crossref Deepak Juneja, Arvinder Singh, Jagvinder Singh 2025-06-24T07:11:03Z 置信度 0.70
• Review of: "Machine Learning Methods in Algorithmic Trading: An Experimental Evaluation of Supervised Learning Techniques for Stock Price"
  crossref Anna Diva Plasencia Lotufo 2023-10-31T09:23:43Z 置信度 0.70
• Deep Learning Driven Drug Discovery and Use of Machine Learning Strategies: A Review
  crossref 2022-10-04T07:03:16Z 置信度 0.70
• A COMPARATIVE REVIEW OF SELECTED METHODS FOR LEARNING FROM EXAMPLES
  crossref Thomas G. Dietterich, Ryszard S. Michalski 2014-06-29T22:29:09Z 置信度 0.70
• Advancements in network security threat detection systems for wireless sensor networks: a review of machine learning and deep learning techniques
  crossref Bikash Kalita, Satyajit Sarmah 2025-07-04T10:42:08Z 置信度 0.70
• Review of: "Share a Tiny Space of Your Freezer to Preserve Seed Diversity"
  crossref Svein Øivind Solberg 2025-03-10T04:44:01Z 置信度 0.70
• Four-quadrant permanent magnet synchronous machine drive with a tiny DC link capacitor
  crossref Mahima Gupta, Giri Venkataramanan 2017-02-16T17:28:51Z 置信度 0.70
• Dengue Prediction Through Machine Learning and Deep Learning: A Scoping Review Protocol.
  Abstract Background : Dengue is an endemic disease caused by the DENV virus. There are four types of serology for this virus (DENV1, DENV2, DENV3 e DENV4). All of these variations can cause the disease and, once infected with one type, the patient is not immun…
  crossref Ewerthon Dyego de Araujo Batista, Frederico Moreira Bublitz, Wellington Candeia de Araujo, Romeryto Vieira Lira 2020-10-26T14:13:42Z 置信度 0.70
• Breast cancer classification using machine learning and deep learning: a systematic review of WBCD-based research and future directions
  crossref Shafiq Ahamed, Amitabh Wahi 2025-07-04T10:42:08Z 置信度 0.70
• Timed cooperative multitask for tiny real-time embedded systems
  crossref Jozsef Kopjak, Janos Kovacs 2012-06-06T21:25:40Z 置信度 0.70
• The Tiny One
  crossref Ed Peaco, Eliza Minot 2010-11-03T17:28:51Z 置信度 0.70
• Machine learning and medical education
  crossref 2020-02-28T10:24:42Z 置信度 0.70
• Editorial: Human and Machine Learning
  crossref Pat Langley 2003-04-04T16:57:10Z 置信度 0.70
• Enhancing youth motivation for STEM through Tiny house construction projects.
  Abstract This research aimed to gain insight into the impact of motivational interventions on adolescents' motivation for STEM activities in an extracurricular project. The participants in this project were twelve adolescents with a minimum age of fourteen. A …
  crossref Christophe Kegels, Valérie Thomas 2024-11-14T02:16:23Z 置信度 0.70
• Tiny Object Detection in Aerial Traffic Surveillance using YOLOv10-Nano
  Abstract Detecting tiny objects in aerial traffic surveillance remains a significant challenge due to minimal object scale, frequent occlusions, and dense environments. This study investigates the performance of the lightweight YOLOv10-Nano (YOLOv10n) model fo…
  crossref Sreenivasa Reddy Edara, Shanmukesh Bonala 2025-06-27T00:23:24Z 置信度 0.70
• Machine Learning and Qualitative Reasoning
  crossref Ivan Bratko 2003-04-04T16:55:36Z 置信度 0.70
• Front Matter
  crossref 2022-02-25T22:49:03Z 置信度 0.70
• Modelling Cognitive Energy Dynamics in Online Learning Using Behavioural Learning Analytics and Machine Learning
  Abstract Understanding learner engagement in digital learning environments remains a significant challenge in learning analytics and adaptive educational systems. Although learning management systems generate extensive behavioural data, most existing approache…
  crossref Patrick O. Akinwumi, Itunu O. Akande, Meihua Qian, Oyinkansola A. Babatope 2026-06-19T10:57:12Z 置信度 0.70
• Machine Learning and Grammar Induction
  crossref Pat Langely 2003-04-04T16:57:10Z 置信度 0.70
• 1Chapter 1 Bibliometric Review of Bibliometric Studies on Machine Learning Research Trends
  crossref Prachi Saraswat, Rohan Singh, Aniket Goyal, Mohit Rajput 2026-01-19T18:34:03Z 置信度 0.70
• A Brief Review of Popular Machine Learning Algorithms in Geosciences
  crossref Shuvajit Bhattacharya 2021-05-03T22:24:25Z 置信度 0.70
• Machine Learning: A Maturing Field
  crossref Jaime Carbonell 2003-04-04T16:55:36Z 置信度 0.70
• Peer Review Report For: Driving event recognition using machine learning and smartphones [version 2; peer review: 2 approved]
  crossref 2025-11-25T04:32:08Z 置信度 0.70
• A Review on Vessel Segmentation of X-Ray Coronary Angiography Images Based on Deep Learning
  crossref YUN NING, JIJUN TONG 2021-12-29T23:52:48Z 置信度 0.70
• Tiny trace detection at high speed for medical vials
  crossref 2014-11-15T18:26:53Z 置信度 0.70
• Dexterous learning of the robot hand using machine learning algorithms for object grasping
  Abstract Grasping is an essential skill that humans possess and replicating or imitating its functionality has been a significant focus in robotics research. Robotic hands by imitating human grasping behavior, can perform versatile grasping tasks and enhance h…
  crossref Hamidreza Heidari, Tahereh Ghahri Saremi, Tayebeh Ghahri Saremi 2023-12-22T04:24:47Z 置信度 0.70
• Research Papers in Machine Learning
  crossref Pat Langley 2003-04-04T16:55:36Z 置信度 0.70
• A Review on Machine Learning and Data Mining Techniques for Residential Energy Smart Management
  crossref Hajer Salem, Moamar Sayed-Mouchaweh, Ahlem Ben Hassine 2017-02-07T20:39:53Z 置信度 0.70
• A Machine Learning-based Optimization Approach for Pre-copy Live Virtual Machine Migration
  Abstract Organizations widely use cloud computing to outsource their computing needs. One crucial issue of cloud computing is that services must be available to clients at all times. However, the cloud services may be temporarily unavailable due to maintenance…
  crossref Raseena M Haris, Khaled M Khan, Armstrong Nhlabatsi, Mahmoud Barhamgi 2023-02-07T13:16:47Z 置信度 0.70
• Clinical prediction models for pediatric Epstein-Barr virus infectious mononucleosis: from 6 machine learning algorithms Running Title: Machine learning Models for Pediatric EBV Infectious Mononucleosis
  Abstract Background Pediatric Epstein-Barr virus (EBV) Infectious mononucleosis (PEBV-IM) is an acute infectious disease. However, there are no effective clinical diagnostic indicators for PEBV-IM. The study aimed to construct a clinical model for effective pr…
  crossref Ruibing Zhao, Ce Wang, Qian Tian, Nan Wang 2026-02-11T05:26:12Z 置信度 0.70
• Machine learning for grasping recognition using wearable sensors
  Introduction: The objective is to evaluate the traditional classifiers for the identification of the grasp while doing different jobs, in order to obtain information that can be used in the diagnostic of the physical work requirements and job design. Methodolo…
  crossref Graciela Rodriguez Vega, Dora Aydee Rodríguez Vega 2025-02-05T01:13:53Z 置信度 0.70
• Maté
  Composed of tens of thousands of tiny devices with very limited resources ("motes"), sensor networks are subject to novel systems problems and constraints. The large number of motes in a sensor network means that there will often be some failing nodes; network…
  crossref Philip Levis, David Culler 2005-11-14T18:08:27Z 置信度 0.70
• Efficiency of simulation and machine learning algorithms for modeling and forecasting greenhouse gas emissions: A review
  crossref Oluwafunke Olorunsola, Festus Adedoyin, Aliu Adebiyi 2025-10-17T10:22:59Z 置信度 0.70
• Scenario Analysis of Human - Machine Learning in Industry
  Background: Industry 4.0 characterized by ‘smart factories’ gave rise to the absolute customized product which has become possible through the creation of new operating models where virtual and physical systems of manufacturing cooperate mutually. The breakthr…
  crossref Mr. Mirza Rizwan 2026-05-09T11:55:58Z 置信度 0.70
• Advancing Tiny Machine Learning Operations: Robust Model Updates in the Internet of Intelligent Vehicles
  crossref Thommas K. S. Flores, Ivanovitch Silva, Mariana B. Azevedo, Thaís de A. de Medeiros 等 2024-01-17T18:26:13Z 置信度 0.70
• Capturing Unanticipated Drug Toxicities Using an Ensemble Machine Learning Approach
  Abstract Despite rigorous safety evaluations during development, numerous drugs have been withdrawn from the market due to serious toxicities. Here we investigate the features found in drugs with these unanticipated toxicities and apply a machine learning appr…
  crossref Nicole Zatorski, Avner Schlessinger 2025-07-10T11:51:39Z 置信度 0.70
• Review for "Quantifying the Drivers of Well Drilling Efficiency Using a Hierarchical Explainable Machine-Learning Framework"
  crossref 2026-07-30T21:06:51Z 置信度 0.70
• Review for "Enhancing outlier detection in air quality index data using a stacked machine learning model"
  crossref 2024-06-01T17:13:15Z 置信度 0.70
• Review of: "Implementing Machine Learning to predict the 10-year risk of Cardiovascular Disease"
  crossref Kirti Singh 2023-09-15T14:39:30Z 置信度 0.70
• Review for "Machine learning techniques for the prediction of polymerization kinetics and polymer properties"
  crossref 2024-04-23T13:32:07Z 置信度 0.70
• Review for "Machine Learning Assisted Stability and CO2 Reduction Reaction Activity Prediction of Single Atom Alloys"
  crossref 2026-05-26T08:46:29Z 置信度 0.70
• Review for "Qualitative and quantitative analysis of pharmaceutical content by terahertz spectroscopy and machine learning algorithms"
  crossref 2026-07-27T21:34:47Z 置信度 0.70
• Review for "An Ultrasound-based Machine Learning Model for Predicting Tumor-Infiltrating Lymphocytes in Breast Cancer"
  crossref 2025-04-20T06:06:01Z 置信度 0.70
• Reviewer #1 (Public review): Unraveling the power of NAP-CNB’s machine learning-enhanced tumor neoantigen prediction
  crossref 2025-03-11T12:01:13Z 置信度 0.70
• Review for "Spinel nitride solid solutions: charting properties in the configurational space with explainable machine learning"
  crossref 2024-09-27T00:07:11Z 置信度 0.70