边缘智能 · 全部实体（第 28 / 100 页）

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• Review for "Exploring the Psychophysiological Predictors of Performance Under Stress—Insights from a Machine Learning Approach"
  crossref 2026-02-04T21:12:05Z 置信度 0.70
• Review for "Machine learning-based statistical downscaling of wind resource maps using multi-resolution topographical data"
  crossref 2022-09-08T00:47:35Z 置信度 0.70
• Review for "Automated detection of potential artifacts in machine learning based bio-image segmentation"
  crossref 2025-10-21T21:16:14Z 置信度 0.70
• Application of Machine Learning in Nanotoxicology: A Critical Review and Perspective
  crossref 2024-08-07T09:42:16Z 置信度 0.70
• Reviewer #1 (Public Review): Machine learning of dissection photographs and surface scanning for quantitative 3D neuropathology
  crossref 2024-02-13T12:23:01Z 置信度 0.70
• Review for "Machine learning for non‐invasive sensing of hypoglycemia while driving in people with diabetes"
  crossref 2023-02-20T09:05:25Z 置信度 0.70
• Review for "Decoding substrate specificity determining factors in glycosyltransferase-B enzymes – Insights from machine learning models"
  crossref 2025-07-05T17:05:43Z 置信度 0.70
• Review of: "Implementing Machine Learning to predict the 10-year risk of Cardiovascular Disease"
  crossref murali Bhavani 2023-09-08T02:16:56Z 置信度 0.70
• Machine Learning Techniques to Predict Daily Rainfall Amount
  Abstract It is crucial to predict the amount of daily rainfall to improve agricultural productivities to secure food, and water quality supply to keep the citizen healthy. To predict rainfall, various researches are conducted using data mining and machine lear…
  crossref Chalachew Muluken Liyew, Haileyesus Amsaya Melese 2021-09-20T20:16:50Z 置信度 0.70
• Review for "Machine learning for refining interpretation of magnetic resonance imaging scans in the management of multiple sclerosis: a narrative review"
  crossref 2025-01-24T15:04:20Z 置信度 0.70
• MathExpr-DETR: An RT-DETR-Based Deep Learning Algorithm for Tiny Target Detection of Mathematical Expressions
  Mathematical expression detection is a fundamental task in document analysis. To address the missed detection and inefficiency of tiny mathematical expression targets, this paper proposes MathExpr-DETR, built on the RT-DETR architecture. The model introduces t…
  crossref Khang Wen Goh, ZhanJiang Wei 2026-03-17T10:41:12Z 置信度 0.70
• Peer Review Report For: Improving palliative care with machine learning and routine data: a rapid review [version 2; peer review: 3 approved]
  crossref 2025-11-21T13:27:10Z 置信度 0.70
• Review of Cyril Goutte, Nicola Cancedda, Marc Dymetman, and George Foster (eds): Learning machine translation
  crossref Philipp Koehn 2010-02-06T03:09:35Z 置信度 0.70
• Bradshaw, Tiny
  crossref 2018-01-12T01:40:37Z 置信度 0.70
• Behavior-specific binary machine learning models: Bout length of behavioral elements as biologically relevant parameter improves machine learning accuracy in analysis of dog behavior sequences
  Abstract Machine learning methods are frequently used to detect behavioral and ecological data patterns. Even though these new mathematical methods are useful tools, the results are often ambivalent if we do not utilize biologically relevant parameters in the …
  crossref Gábor Csizmadia, Bálint Daróczy, Bence Ferdinandy, Ádám Miklósi 2022-10-26T14:00:36Z 置信度 0.70
• Peer Review #3 of "A systematic review of literature on credit card cyber fraud detection using machine and deep learning (v0.1)"
  crossref 2023-04-22T02:30:15Z 置信度 0.70
• Peer Review Report For: Machine learning techniques applied in border crossing [version 1; peer review: 1 approved with reservations]
  crossref 2026-03-18T10:51:09Z 置信度 0.70
• Review on Machine Vision-Based Detection of Pedestrians and Non-Motorized Vehicles in Autonomous Driving
  crossref 2025-12-01T14:29:14Z 置信度 0.70
• A Systematic Review of Machine Learning Methods in Smart Hydroponic Farming
  Abstract The burgeoning global population coupled with the increasing scarcity of arable land has necessitated innovative agricultural practices. Hydroponics, a soil-less cultivation method, has emerged as a promising solution to address these challenges by of…
  crossref O. Ukoba Joseph, A. Okengwu Ugochi, Fubara Egbono 2025-05-22T04:05:24Z 置信度 0.70
• Editorial: The Terminology of Machine Learning
  crossref Pat Langley 2003-04-04T16:57:10Z 置信度 0.70
• Matton, Tiny
  crossref 2018-01-12T02:17:11Z 置信度 0.70
• Review of: "Implementing Machine Learning to predict the 10-year risk of Cardiovascular Disease"
  crossref Saman Rajebi 2023-09-09T04:04:32Z 置信度 0.70
• Review for "DBMLFF: Linear scaling machine learning force fields via electron density decomposition for molecular electrolytes"
  crossref 2026-01-20T21:08:44Z 置信度 0.70
• Review of: "Tweeting AI: A Machine Learning Approach for Bird Species Detection and Classification"
  crossref Dharminder Yadav 2023-07-23T01:39:26Z 置信度 0.70
• Review for "Machine Learning-Based Classifier for Identifying Inpatients With Schizophrenia at High Risk of Suicide"
  crossref 2025-09-30T23:09:38Z 置信度 0.70
• Review for "Δ<sup>2 </sup>Machine Learning for Reaction Property Prediction"
  crossref 2023-07-20T17:01:31Z 置信度 0.70
• Reviewer #3 (Public Review): Broad functional profiling of fission yeast proteins using phenomics and machine learning
  crossref 2023-05-31T10:43:08Z 置信度 0.70
• Review of: "Implementing Machine Learning to predict the 10-year risk of Cardiovascular Disease"
  crossref Jyotir Moy 2023-10-02T06:40:22Z 置信度 0.70
• Review for "Virtual sensors for wind turbines with machine learning‐based time series models"
  crossref 2022-06-14T17:03:34Z 置信度 0.70
• Machine Learning for Warpage Prediction of Fused Deposition Modelling Processed Parts
  Abstract This paper provides a methodology for the application of a machine learning-based framework for fused deposition modelling manufacturing. The approach was developed to take into account the influence of the material, the part geometry, the process par…
  crossref Davide Nardi 2021-06-01T21:36:31Z 置信度 0.70
• Review of: "Supply Chain Fraud Prediction with Machine Learning and Artificial intelligence"
  crossref Charles Pérez Espinoza 2022-09-30T21:02:25Z 置信度 0.70
• An interpretable machine learning method for detecting novel pathogens
  Abstract Background: According to the World Health Organization (WHO), infectious diseases continue to one of the leading causes of death worldwide. Since the core microbiota flora of humans is largely diverse and horizontal gene transfer (HGT), it is very cha…
  crossref Xiaoyong Zhao, Ningning Wang 2020-01-09T20:20:03Z 置信度 0.70
• Review of: "Secure and Private Machine Learning: A Survey of Techniques and Applications"
  crossref Zhiyu Xie 2023-12-28T07:45:03Z 置信度 0.70
• Review of: "Secure and Private Machine Learning: A Survey of Techniques and Applications"
  crossref Yange Chen 2023-07-10T11:06:48Z 置信度 0.70
• Review of: "Machine learning for manually-measured water quality prediction in fish farming"
  crossref Sadiya Swaleh 2021-08-20T04:34:34Z 置信度 0.70
• Adversarial Machine Learning for Enhanced Security and Byzantine Resilience in Federated Learning Architectures: A Comprehensive Review
  Federated Learning (FL) has rapidly emerged as a foundational paradigm shift in Artificial Intelligence (AI), specifically designed to address stringent privacy and data governance demands. Despite its inherent privacy-by-design architecture, FL is fundamental…
  crossref Maharshi S Patel, Gayatri S Pandi 2025-11-05T21:58:31Z 置信度 0.70
• Analyzing digital consumer insights through RoBERTa LLM based sentiment analysis and topic modeling.
  europepmc 2026 置信度 0.80
• Predictive modeling and optimization of surface roughness in Reverse-µEDM fabricated microeletrode arrays using ML models.
  europepmc 2026 置信度 0.80
• How far can you go? Extrapolating values of catalytic activity from known protein landscapes in natural and directed evolution.
  europepmc 2026 置信度 0.80
• The impact of AI on modern oncology from early detection to personalized cancer treatment.
  europepmc 2026 置信度 0.80
• Machine learning-driven design of engineered cilia enables hybrid operations in acoustic microrobots.
  europepmc 2026 置信度 0.80
• Lightweight Real-Time Navigation for Autonomous Driving Using TinyML and Few-Shot Learning.
  europepmc 2026 置信度 0.80
• Toward robust social media sentiment for SMEs: a comparative study of dictionary-based and machine learning approaches with insights for hybrid methodologies.
  europepmc 2025 置信度 0.80
• The Evolving Landscape of NMR Structural Elucidation.
  europepmc 2026 置信度 0.80
• Tracking the Metabolites of Health and Disease Using Artificial Intelligence.
  europepmc 2026 置信度 0.80
• Hybrid feature-selection and diversity-guided stacking framework for interpretable ensemble learning: Application to COVID-19 mortality prediction.
  europepmc 2026 置信度 0.80
• A Systematic Review of AI-Based Techniques for Automated Waste Classification.
  europepmc 2025 置信度 0.80
• Novel approach of encrypted network traffic classification using deep convolutional neural network with Artificial Bee Colony and Genetic Algorithm.
  europepmc 2026 置信度 0.80
• An Improved YOLOv8 Detection Algorithm Based on Screen Printing Defect Images.
  europepmc 2026 置信度 0.80
• Cardiac health assessment across scenarios and devices using a multimodal foundation model pretrained on data from 1.7 million individuals.
  europepmc 2026 置信度 0.80
• Drift-Robust Lightweight Deep Learning on Open Gas Sensor Benchmarks: A Reproducible Architecture Study with CBRN Applicability Mapping.
  europepmc 2026 置信度 0.80
• YOLO-DST: MEMS Small-Object Defect Detection Method Based on Dynamic Channel-Spatial Modeling and Multi-Attention Fusion.
  europepmc 2026 置信度 0.80
• AI based Chest X-Ray (CXR) Scan Texture Analysis Algorithm for Digital Test of COVID-19 Patients
  preprints 2020 置信度 0.74
• World of EdCraft: Challenges and Opportunities in Synchronous Online Teaching
  preprints 2021 置信度 0.74
• Automated Detection of COVID-19 through Convolutional Neural Network using Chest x-ray images
  preprints 2021 置信度 0.74
• Citizen Learner Discourse and Emergent Global Knowledge Societies
  preprints 2020 置信度 0.74
• Remote Health Monitoring System for Bedbound Patients
  preprints 2020 置信度 0.74
• Inference on a Multi-Patched Epidemic Model with Partial Mobility, Residency and Demography: The Case of 2020 COVID-19 Outbreak in Hermosillo, Mexico
  preprints 2023 置信度 0.74
• Online Education Trajectory during the COVID-19 Pandemic Among the Bangladeshi Adolescent Children
  preprints 2022 置信度 0.74
• COVID-19 Lesion Segmentation using Lung CT Scan Images: Comparative Study based on Active Contour Models
  preprints 2020 置信度 0.74
• Shareholder Voting and COVID-19: The China Experience
  preprints 2021 置信度 0.74
• Are Seasonality of Meteorological Factors Influenced COVID-19 Era in Contrasting Geographic Settings? A Case of Subtropical Country
  preprints 2022 置信度 0.74
• The Portuguese Public Hospitals Performance and Sustainability Evolution Before and During the SARS-CoV-2 Pandemic (2017-2022)
  preprints 2023 置信度 0.74
• Does Human-algorithm Feedback Loop Lead To Error Propagation? Evidence from Zillow’s Zestimate
  preprints 2022 置信度 0.74
• An Innovative Electronic Sterilization System (S-Vehicle, NaOCI.5H2O and CeO2NP) for Epidemic Areas by Virus Covid-19 Manage Remotely using Mobil Application
  preprints 2022 置信度 0.74
• Data Privacy Issues in West Virginia and Beyond: A Comprehensive Overview of the Issues
  preprints 2021 置信度 0.74
• The Impact of Low Emission Zones on Personal Exposure to Ultrafine Particles in the Commuter Environment
  preprints 2022 置信度 0.74
• Assessment of The Renewable Energy Offshore and Wind Energy Markets Affects During The COVID-19 Virus
  preprints 2021 置信度 0.74
• A review of Li-ion battery temperature control and a key future perspective on cutting-edge cooling methods for electrical vehicle applications
  preprints 2023 置信度 0.74
• Rethinking Evidentiary Rules in an Age of Bench Trials
  preprints 2022 置信度 0.74
• Privacy in Pandemic: Law, Technology, and Public Health in the COVID-19 Crisis
  preprints 2020 置信度 0.74
• Exploring the Impact of COVID-19 on Firm Performance: Evidence from Indian FMCG and Consumer Durables Sectors
  preprints 2022 置信度 0.74
• URGENT: Understanding and Responding to Global Emerging News Threats
  preprints 2023 置信度 0.74
• Perspectives of Healthcare Workers, National and Regional Policy Stakeholders on the Management of Chronic Lung Disease in Five Sub-Saharan African Countries: Tale of a Vicious Cycle of Neglect
  preprints 2020 置信度 0.74
• Modelling and Forecasting COVID-19 Stock Returns using Asymmetric GARCH-ICAPM with Mixture and Heavy-Tailed Distributions
  preprints 2021 置信度 0.74
• Revisiting Quality Investing
  preprints 2021 置信度 0.74
• Courts Without Court
  preprints 2022 置信度 0.74
• A Novel Model for Simulating COVID-19 Dynamics Through Layered Infection States that Integrate Concepts from Epidemiology, Biophysics and Medicine: SEI₃R₂S-Nrec
  preprints 2020 置信度 0.74
• Just-Right Government: Interstate Compacts and Multistate Governance in an Era of Political Polarization, Policy Paralysis, and Bad-Faith Partisanship
  preprints 2021 置信度 0.74
• Does the 'Wirecard AG' Case Address FinTech Crises?
  preprints 2020 置信度 0.74
• Crushed by COVID-19 Medical Bills, Coronavirus Victims Need Debt Relief Under the Bankruptcy Code and Workers’ Compensation Laws
  preprints 2021 置信度 0.74
• Digital Finance Platforms: Toward a New Regulatory Paradigm
  preprints 2020 置信度 0.74
• When the Conditions Are the Confinement: Eighth Amendment Habeas Claims During COVID-19
  preprints 2021 置信度 0.74
• Review for "Best Practices in Supervised Machine Learning: A Tutorial for Psychologists"
  crossref 2023-08-04T17:00:42Z 置信度 0.70
• A survey on bias in machine learning research
  Abstract Current research on bias in machine learning often focuses on fairness, while overlooking the roots or causes of bias. Bias was originally defined as a ”system-atic error” often caused by humans at different stages of the research process. This paper …
  crossref Agnieszka Mikołajczyk-Bareła, Michał Grochowski 2024-10-03T17:17:42Z 置信度 0.70
• High-Performance Phishing Email Detection Using Hybrid Machine Learning and Deep Learning Approaches
  Abstract Phishing emails continue to represent a major cybersecurity threat, leveraging increasingly sophisticated social engineering techniques to evade conventional detection systems. Addressing this challenge requires intelligent and adaptive approaches cap…
  crossref Mohamed Khayati, Driss Ait Omar, Mohamed Baslam 2026-04-07T11:12:06Z 置信度 0.70
• Literature Review on Flower Classification using Machine Learning and Deep Learning
  The rapid evolution of Artificial Intelligence (AI) and Machine Learning (ML) technologies has led to the development of increasingly sophisticated algorithms and models. In particular, these advancements have been pivotal in the domain of flower classificatio…
  crossref Raunak Kharbanda, Shubham Singhal, Dr. Soumi Ghosh, Dilshad Anjum Khan 2024-03-22T11:07:47Z 置信度 0.70
• Random Vector Functional Link, Extreme Learning Machine, and Broad Learning System Approaches to Imbalanced Classification: A Systematic Review
  Class imbalance remains a fundamental challenge in machine learning, inducing systematic bias toward majority classes and degrading minority class recognition in high-impact applications such as medical diagnosis, fraud detection, and industrial fault monitori…
  crossref Bhagat Singh Raghuwanshi 2026-08-19T20:36:29Z 置信度 0.70
• Artificial intelligence, machine learning, and deep learning for advanced business strategies: a review
  This study thoroughly analyses how artificial intelligence (AI), machine learning (ML), and deep learning (DL) impact the development and improvement of business strategies. It examines how AI changes business models, highlighting its ability to stimulate inno…
  crossref Nitin Rane, Mallikarjuna Paramesha, Saurabh Choudhary, Jayesh Rane 2024-05-21T14:23:45Z 置信度 0.70
• Addressing Spurious Correlations in Machine Learning Models: A Comprehensive Review
  Spurious correlations present a significant challenge in the deployment of machine learning models, as they can lead to models relying on irrelevant or unnatural features. This paper provides a comprehensive review of the current state of research on spurious …
  crossref Mashrin Srivastava 2023-04-22T01:01:40Z 置信度 0.70
• Review for "Psychological improvement in Employee Productivity by Maintaining Attendance System using Machine Learning Behavior"
  crossref 2022-07-13T17:02:05Z 置信度 0.70
• Review for "Identifying Careless Survey Respondents Through Machine Learning Using Responses to a Gibberish Scale"
  crossref 2025-10-10T21:05:28Z 置信度 0.70
• Review: Operational uncertainty in machine learning based debris block detection in urban waterways — R1/PR8
  crossref 2026-04-06T05:40:51Z 置信度 0.70
• Review of: "Generative Artificial Intelligence Using Machine Learning on Wireless Ad Hoc Networks"
  crossref Tanya Jaber 2024-08-30T18:33:55Z 置信度 0.70
• Review Paper: Predicting Diabetes by Machine learning Algorithm
  crossref 2024-08-22T12:13:29Z 置信度 0.70
• A Machine Learning Framework for Predicting Drug-drug Interactions
  Abstract Understanding drug-drug interaction is an essential step to reduce the risk of adverse drug events before clinical drug co-prescription. Existing methods commonly integrate multiple heterogeneous data sources to increase model performance but result i…
  crossref Suyu Mei, Kun Zhang 2021-05-11T16:20:06Z 置信度 0.70
• A Review: Credit Card Fraud Detection in Banks using Machine Learning Algorithms
  A fraud Detection System
  crossref Muhammad Hazeel Ahmed 2023-02-08T18:50:12Z 置信度 0.70
• Review for "Physics-based representations for machine learning properties of chemical reactions"
  crossref 2022-09-03T17:01:03Z 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
• Can Machine Learning Catch Economic Recessions Using Economic and Market Sentiments?
  Abstract Quantitative models are an important decision-making factor for policy makers and investors. Predicting an economic recession with high accuracy and reliability would be very beneficial for the society. This paper assesses machine learning technics to…
  crossref Kian Tehranian 2023-08-27T19:21:43Z 置信度 0.70