边缘智能 · 全部实体（第 46 / 100 页）

本页收录第 4501–4600 条，共 10000 条 · 返回 边缘智能 首页

• Machine Learning Approaches for Student Effort Optimisation in Digital Learning Systems
  crossref Olga Ovtšarenko, Tarvo Mill 2026-05-12T19:47:00Z 置信度 0.70
• Machine Learning and Synthetic Data Improve Early Warning Systems for Chronic Absenteeism
  How can synthetic data and machine learning algorithms significantly improve the accuracy of early warning systems for chronic absenteeism?
  crossref Tiffany Wu 2026-06-29T02:00:39Z 置信度 0.70
• Machine Learning in Pollution Detection and Control in Air, Water, and Soil
  crossref Robert Birundu Onyancha, Kingsley Eghonghon Ukhurebor, Uyiosa Osagie Aigbe 2026-04-29T13:25:47Z 置信度 0.70
• Physics-Informed Neural Networks
  crossref Tongyi Zhang 2026-06-27T09:47:50Z 置信度 0.70
• Artificial Intelligence and Machine Learning Techniques in Pharmacy
  crossref Mohammed Alnuhait, Tariq Alqahtani 2026-06-17T22:00:06Z 置信度 0.70
• Processes and Data Granularity
  crossref Elmar Rueckert 2026-08-01T23:30:31Z 置信度 0.70
• Review for "Higher-order phonon scattering and lattice thermal conductivity prediction via machine learning"
  crossref 2026-05-26T07:12:33Z 置信度 0.70
• Optimal Control of Fluid Restless Multi-armed Bandits: A Machine Learning Approach
  crossref Dimitris Bertsimas, Cheol Woo Kim, José Niño-Mora 2026-03-10T10:59:29Z 置信度 0.70
• Machine Learning and Rule-Based Hybrid Approach for Advanced Persistent Threat Attribution from Threat Intelligence Reports
  crossref Jagadam Tejaswini, Kola Sathyanarayana, Lakireddy Sudheshna Lakshmi, Manikonda Rahul Chowdary 等 2026-05-01T19:51:20Z 置信度 0.70
• Integrating AI and Machine Learning to Enhance Data Security in Intelligent IoT Systems
  crossref M. T. Vasumathi, Manju Sadasivan, M. Kamarasan, G. Manikandan 2026-05-22T21:19:27Z 置信度 0.70
• Machine learning nonequilibrium phase transitions in charge-density wave insulators
  Abstract Nonequilibrium electronic forces play a central role in voltage-driven phase transitions but are notoriously expensive to evaluate in dynamical simulations. Here we develop a machine-learning (ML) framework for adiabatic lattice dynamics coupled to no…
  crossref Yunhao Fan, Sheng Zhang, Gia-Wei Chern 2026-05-05T22:54:30Z 置信度 0.70
• Explainable Multimodal AI for Real-Time Accessibility Support in Neurodiverse Learning Environments
  crossref Pandya Kartikkumar Ashokbhai 2026-05-01T19:51:20Z 置信度 0.70
• How accurate are salinity measurements around Antarctica? A machine learning based approach
  crossref Taimoor Sohail, Jan D Zika, Tobias Ehmen 2026-05-21T22:48:02Z 置信度 0.70
• Machine Learning-Based Spectrum Forecasting for Ultra-Dense IoT Environments
  crossref Jyoti Sunil More, Bharati Khatawate, Nupur Gaikwad, Deepshikha Sarjare 2026-08-31T13:18:09Z 置信度 0.70
• Machine Learning Models for Predicting Stock Market Trends
  crossref Kannagi Rajkhowa, Yash Rawat 2026-01-12T10:33:16Z 置信度 0.70
• Intelligent Digital Business: AI, Analytics, Automation, and Strategic Transformation
  crossref 2026-06-15T05:23:10Z 置信度 0.70
• Machine Learning Based Early Power and Area Prediction for VLSI Circuits Using Regression Modelling
  crossref Ritul Shrivastava, Jyoteesh Malhotra 2026-06-03T03:42:36Z 置信度 0.70
• Building Surface Crack Detection Based on Deep Convolutional Neural Networks and Ensemble Learning
  crossref Yichi Li 2026-03-31T19:49:32Z 置信度 0.70
• Machine Learning and Quantum Machine Learning: A Comprehensive Review of Algorithms, Applications, and Future Directions
  The rapid advancement of artificial intelligence has positioned Machine Learning (ML) as a cornerstone technology across scientific and industrial domains. In parallel, the emergence of quantum computing has catalyzed a new interdisciplinary field—Quantum Mach…
  crossref Loveleen Kumar, Rajesh Rajaan, Nilam Choudhary, Aakriti Sharma 2026-05-22T07:54:17Z 置信度 0.70
• Comment on “Systematic review and meta-analysis of the role of machine learning in predicting postoperative complications following colorectal surgery: how far has machine learning come?”
  crossref Xutao Jiang, Guixin Zhang 2025-12-09T11:01:29Z 置信度 0.70
• A brief review of quantum machine learning techniques for financial services
  Abstract This review paper examines state-of-the-art algorithms and techniques in quantum machine learning (QML) with potential applications in finance. We discuss QML techniques in supervised learning tasks, such as quantum variational classifiers, quantum Ke…
  crossref Mina Doosti, Petros Wallden, Conor Brian Hamill, Robert Hankache 等 2026-03-13T22:54:12Z 置信度 0.70
• A Machine Learning–Driven Health Risk Index for Predicting Chronic Disease Burden
  crossref Ved Sharma 2026-04-02T12:10:13Z 置信度 0.70
• Review for "Supply Chain Optimisation Using Physics-Informed Machine Learning for Digital Product Passport"
  crossref 2026-07-10T21:09:02Z 置信度 0.70
• Introduction
  crossref Clemens Apprich 2026-05-21T13:44:07Z 置信度 0.70
• A Systematic Review of Machine Learning Approaches For AI-Driven Fraud Detection in Loyalty Programs
  This article examines machine learning approaches used for fraud detection in loyalty programs, treating loyalty abuse as a distinct analytical problem rather than a simplified extension of payment fraud. The topic is timely because contemporary loyalty ecosys…
  crossref Igor Litovsky 2026-04-06T05:35:41Z 置信度 0.70
• Predicting Side Effects of Drug Reactions Using Machine Learning and Graph Neural Network
  crossref V. Rekha, B. Syed Moinuddin Bokhari, Erkin Kholiyarov, Bekzod Madaminov 等 2026-05-01T19:51:20Z 置信度 0.70
• Analysing the Predictive Accuracy of Machine Learning Models in Stock Price Forecasting
  crossref S. T Surulivel, Nandhini Priya A, Dhivya V, S Selvabaskar 2026-05-22T19:33:52Z 置信度 0.70
• Review for "Mechanistic Principles of Antimicrobial Peptides Uncovered by Charge Density Based Machine Learning"
  crossref 2026-01-28T21:08:11Z 置信度 0.70
• Identifying Determinants of Exchange Rates: A Machine Learning Perspective
  Exchange rates are key economic variables that shape international competitiveness; yet, there is no consensus on the universal factors determining their dynamics under floating regimes. This study identifies the determinants of exchange rates for six major cu…
  crossref Michał Buszko, Witold Orzeszko 2026-04-14T22:41:21Z 置信度 0.70
• Comparing Econometric and Machine Learning Approaches to Forecasting India's CPI Inflation
  <p>This paper presents an applied forecasting comparison between a classical econometric model (ARIMAX) and a machine learning approach (Extreme Gradient Boosting – XGBoost) in the context of macroeconomic inflation forecasting. Using monthly CPI inflati…
  crossref Anurag Sarangi 2026-01-26T16:00:12Z 置信度 0.70
• Detection of Fraudulent Internship Opportunities Using Machine Learning Techniques
  Abstract Online internships have become a common pathway for students to gain industry exposure and practical skills. Along with this growth, fraudulent internship offers have also increased, often misleading students through unrealistic benefits, misleading d…
  crossref Priyanshi Rajendrakumar Patel 2026-02-06T09:26:27Z 置信度 0.70
• Bibliography
  crossref 2026-06-26T23:12:41Z 置信度 0.70
• Deep Learning Architectures for Brain Signal Processing
  crossref Goldwyn Sudhakar Jebaraj, S. Vidhya, Konguvel Elango 2026-08-14T21:23:06Z 置信度 0.70
• Product selection in drop-shipping: Reinforcement learning stacked on multiple machine learning algorithms
  crossref Chaher Alzaman 2026-01-05T07:38:46Z 置信度 0.70
• Reinforcement Learning Pruning with Dynamic Reward Function and Joint Selecting Mechanism
  crossref Rui Cai, Yixin Zhao 2026-08-20T12:00:10Z 置信度 0.70
• About the authors
  crossref 2026-02-06T09:34:01Z 置信度 0.70
• The Kernel Trick: Turning Lines Into Curves
  crossref Weisheng Jiang 2026-07-31T10:55:03Z 置信度 0.70
• Review of Machine Learning in Surfactant Science: QSPR Modelling and Generative Approaches
  This paper reviews recent advances in the application of machine learning (ML) methods to quantitative structure-property relationship (QSPR) modelling and molecular generation in surfactant science. As the variety of surfactant species and annual production v…
  crossref Timur Yunusov 2026-05-08T07:36:42Z 置信度 0.70
• Front Matter
  crossref 2025-12-19T21:25:58Z 置信度 0.70
• Deep Reinforcement Learning and the IID Assumption
  crossref Fatih Özgan, Herman Engelbrecht, Gregor Schiele 2026-05-06T19:38:02Z 置信度 0.70
• Crowdsourced Article: Your Best Tiny Tech Tips
  crossref 2024-07-09T23:47:47Z 置信度 0.70
• PREVISÃO DE DEMANDA COM APOIO DE MACHINE LEARNING
  Demand forecasting poses a challenge in any economic activity. The objective of this research was to analyze the demand forecasting process, supported by machine learning, in a large-scale footwear manufacturer. This process used a qualitative approach, collec…
  crossref Dusan Schreiber, Jenifer Valim, Cristiane Froehlich 2026-07-23T22:04:34Z 置信度 0.70
• Machine Learning-Based Photometric Classification of Galaxies, Quasars and Stars
  crossref Donato Cascio 2026-04-12T23:05:00Z 置信度 0.70
• Machine-Learning Enhanced In Silico Screening: A Methodological Approach
  crossref Krish W. Ramadurai, Abhirup Banerjee 2026-01-30T15:41:37Z 置信度 0.70
• Adaptive multi-domain uncertainty quantification for digital twin water forecasting
  crossref Mohammadhossein Homaei, Mehran Tarif, Pablo García Rodríguez, Mar Ávila 等 2025-12-13T02:44:40Z 置信度 0.70
• Harness Machine Learning with Carry 
  crossref Fang Qiao, Zhan Shi, Yicheng Zhu 2026-01-28T11:34:07Z 置信度 0.70
• A Global Early-Warning System for Political Instability Using Machine Learning
  Political instability remains one of the most significant global challenges, influencing economic development, humanitarian crises, and international security. Traditional forecasting approaches typically rely on qualitative geopolitical assessments or limited…
  crossref Gabriela Fernandes 2026-04-20T15:13:35Z 置信度 0.70
• BACK MATTER
  crossref 2025-12-08T02:04:12Z 置信度 0.70
• Machine Learning for Reliable Energy Demand Forecasting in U.S. Energy Infrastructure
  crossref Yixuan Liang 2026-02-13T16:16:48Z 置信度 0.70
• Machine Learning and Technical Analysis in International Market
  This paper explores the use of various machine learning models to forecast stock returns in the international market. We calculate 107 technical variables and use them to train an array of machine learning models. Using data from 25 markets, we uncover machine…
  crossref Jern Tat Chin, Hai Lin 2026-04-20T16:22:54Z 置信度 0.70
• Bootstrap consistency for general double/debiased machine learning estimators
  Double/debiased machine learning (DML) provides a general framework for inference with high-dimensional or otherwise complex nuisance parameters by combining Neyman-orthogonal scores with cross-fitting, thereby circumventing classical Donsker-type conditions i…
  crossref Ziming Lin, Fang Han 2026-05-02T17:39:13Z 置信度 0.70
• Quantifying Representation-Induced Decision Drift in Reliability-Critical Machine Learning Systems
  Machine learning models are increasingly deployed in reliability-critical workflows in manufacturing, sensing, and prognostics, where discrete operational decisions-such as maintenance triggers, quality holds, and alarm issuance-directly affect safety, cost, a…
  crossref James D. Bourassa 2026-02-27T14:49:37Z 置信度 0.70
• Review for "Scaling Quantum Machine Learning without Tricks: Full-Resolution and Diverse Image Generation"
  crossref 2026-06-17T22:57:36Z 置信度 0.70
• Convergence of Architecture and Machine Learning Product Development Life Cycle
  The rapid advancement of Artificial Intelligence (AI) and Machine Learning (ML) has enabled organizations to innovate and gain a competitive edge through data-driven products. However, transitioning ML projects from prototypes to scalable, production-grade IT …
  crossref Vijay Joshi, Iver Band 2026-01-03T01:29:55Z 置信度 0.70
• Polynomial Regression: Making Linear Models Go Nonlinear
  crossref Weisheng Jiang 2026-07-31T10:55:03Z 置信度 0.70
• Exploring IoT-enabled machine learning approaches for soil quality monitoring in agriculture: a systematic review
  crossref Ruchika Bindal, Mandeep Kaur, Righa Tandon 2026-05-16T06:41:52Z 置信度 0.70
• Fake News Detection Using Machine Learning and Sentiment Analysis Integrated in a Flask Web Application
  crossref Yash Mehta, Raj Nayan, Sumit Malik, Vinay Shukla 2026-07-12T22:15:50Z 置信度 0.70
• Application of Machine Learning in Bioremediation and Detection of Pollutants
  crossref Dipti Madgaocar, Cannon Antony Fernandes, Vasantha Veerappa Lakshmaiah 2026-01-12T08:30:18Z 置信度 0.70
• Generalizing reactivity for machine-learning potentials
  crossref Hao Li 2026-01-15T15:36:34Z 置信度 0.70
• Artificial Intelligence and Machine Learning in Physical Sciences
  crossref Mohammed Muttayem Mahi Khan 2026-02-07T10:48:24Z 置信度 0.70
• Machine-learning-based approaches for predicting child mortality
  crossref Pavani Vemulapati, Rajitha Datla, Rohit Penki, Jyothi Kumari Thota 2026-08-26T13:42:08Z 置信度 0.70
• Application of machine learning and artificial intelligence methods in predictions of absorption, distribution, metabolism, and excretion properties of chemicals
  crossref Wei-Chun Chou, Miao Li, Srijit Seal, Zhoumeng Lin 2025-09-23T11:38:32Z 置信度 0.70
• Machine Learning and Computational Biology‐Based Epigenetics for Uncovering Plant Adaptive Evolution
  crossref Thiruvengadam Abarna, S. Gomathi, Shobana Devi Paulraj, Thirunethiran Karpagam 等 2026-06-19T21:20:22Z 置信度 0.70
• Sentiment Analysis on LGBT Presence in Timor-Leste Using Machine Learning: A Study of Social Media and Public Opinion
  crossref Marcelino Caetano Noronha, Hindriyanto Dwi Purnomo, Hendry, Irwan Sembiring 等 2026-07-31T18:10:45Z 置信度 0.70
• Predictive Fault Detection in Power System using Machine Learning
  crossref Chiranjeevi Yarramsetty, Amoolya Shettigar, Divij Santosh Mandrekar, Chethan Kumar 等 2026-06-08T19:49:07Z 置信度 0.70
• Safety-Enhanced Machine Learning for Fetal Health Classification Using Cardiotocography Data
  crossref Md Abdullah Hossien Molla, Shajalal Sojib, Most. Sunzida Akter, Md. Ataur Rahman 等 2026-05-01T19:51:20Z 置信度 0.70
• Integrating Quantum Computing and Machine Learning in 6G Networks
  crossref Ogobuchi D. Okey, Theodore T. Chiagunye, Henrietta U. Udeani, Ikechukwu Nicholas 等 2026-01-09T21:37:26Z 置信度 0.70
• Application of IoT and Machine Learning to Improve Biogas Production Through Anaerobic Digestion
  crossref Akshay Jain, Bhaskor Jyoti Bora 2025-12-19T21:25:58Z 置信度 0.70
• A Targeted Study of Lightweight Machine Learning Techniques for Cardiac Arrhythmia Risk Prediction
  crossref Sanyam Bhardwaj, R. Krishna Priya, Anju S. Pillai 2026-05-06T23:55:28Z 置信度 0.70
• Quantum Machine Learning‐Based Smart IoT Model for Precision Agriculture
  crossref D. Anu Disney, V. Akilandeswari, G. Suseela, Balasubramanian Prabhu Kavin 等 2026-05-22T21:19:27Z 置信度 0.70
• Machine learning algorithms and tools in medicine
  crossref Melissa A. St. Hilaire 2026-02-06T09:32:55Z 置信度 0.70
• Will Chemical Exposomics Be Ready for a Human Exposome Project?
  europepmc 2026 置信度 0.80
• Optimization of cross-institutional medical federated learning framework driven by confidential computing.
  europepmc 2026 置信度 0.80
• A U-Net Improved Version for Crop and Weed Segmentation from Aerial Images.
  europepmc 2026 置信度 0.80
• Neutron and photon science facilities at a crossroads: embracing innovation in a changing world.
  Sustaining public investment in neutron and photon science facilities demands breakthrough results comparable to a Higgs moment. Harnessing AI across their accumulated experimental data and collaborative programmes is what makes that possible.
  europepmc 2026 置信度 0.80
• Smart Energy Management in Agricultural Wireless Sensor Nodes Using TinyML-Based Adaptive Sampling.
  Smart sensors are increasingly used in agriculture to monitor environmental conditions and support data-driven decision-making. However, traditional sensor implementations face critical challenges related to power consumption, especially in remote farms—such a…
  europepmc Adrian Hinostroza, Jimmy Tarrillo, Moises Nuñez 2026 置信度 0.80
• I&S-ViT: An Inclusive & Stable Method for Post-Training ViTs Quantization.
  europepmc 2026 置信度 0.80
• Tomato Ripeness Detection and Localization Based on the Intelligent Inspection Robot Platform.
  The field inspection and ripeness detection of tomatoes in China remain heavily dependent on manual labor, while existing robotic solutions often exhibit limited functionality, poor environmental adaptability, prohibitive hardware costs, and unstable positioni…
  europepmc 2026 置信度 0.80
• Non-Destructive Early Sex Identification of Embryonated Quail Eggs Using Raman Spectroscopy.
  europepmc 2026 置信度 0.80
• Intelligent predictive neural network analysis on LTNE impacts on thermophoretic particle deposition in HFE 7100 nanofluid with Co<sub>3</sub>O<sub>4</sub> nanoparticle.
  europepmc 2026 置信度 0.80
• High-Accuracy and Efficient Classification of Uranium Slag by Origin and Category via LIBS Integrated with Hybrid Machine Learning.
  europepmc 2026 置信度 0.80
• PCB-YOLOV8X: a network for detecting micro-sized defects on PCB surfaces based on enhanced feature information.
  europepmc 2026 置信度 0.80
• SeaLSOD-YOLO: A Lightweight Framework for Maritime Small Object Detection Using YOLOv11.
  europepmc 2026 置信度 0.80
• Superior resilience to poisoning and amenability to unlearning in quantum machine learning.
  europepmc 2026 置信度 0.80
• Real-Time Pain Assessment from Electrodermal Activity Using Deep Learning.
  europepmc 2026 置信度 0.80
• An explainable deep learning framework for few shot crop disease detection in rice and sugarcane using CNN based feature extraction.
  europepmc 2026 置信度 0.80
• A Non-Destructive Early Sex Identification Method for Chicken Embryos Based on Improved MobileViT-V3.
  europepmc 2026 置信度 0.80
• An adaptive multiscale local mesh ternary pattern technique with extensive pre-processing and Grey Wolf optimisation based classifiers for oral cancer image classification.
  europepmc 2026 置信度 0.80
• Explainable EEG-based machine learning for early diagnosis of Alzheimer's disease and frontotemporal dementia.
  europepmc 2026 置信度 0.80
• ImageNet pre-training and two-step transfer learning in chromosome image classification.
  europepmc 2026 置信度 0.80
• Detection and identification of insect processed animal proteins in microscopic images using deep learning.
  europepmc 2026 置信度 0.80
• Study on pore features in sintered die-attach microstructures based on machine learning.
  europepmc 2026 置信度 0.80
• Square-slotted THz metamaterial-inspired MIMO antenna design optimized with machine learning for TWPAN networks and next-generation communication systems.
  europepmc 2026 置信度 0.80
• Attention-enhanced MobileNetV2 models for robust forest fire detection and classification.
  europepmc 2026 置信度 0.80
• Identification and validation of an ultrasound-based interpretable machine learning model for the preoperative evaluation of microvascular invasion in patients with hepatocellular carcinoma.
  europepmc 2026 置信度 0.80
• Lightweight Vision-Transformer Network for Early Insect Pest Identification in Greenhouse Agricultural Environments.
  europepmc 2026 置信度 0.80
• DSCANet: Integrating dual encoder and spatial cross-attention for polyp segmentation.
  europepmc 2026 置信度 0.80
• From Sensing to Sense-Making: A Framework for On-Person Intelligence with Wearable Biosensors and Edge LLMs.
  europepmc 2026 置信度 0.80
• Slope displacement forecasting with limited field data using time series model.
  europepmc 2026 置信度 0.80
• Development and validation of a predictive model for cognitive impairment after first-episode acute ischemic stroke without reperfusion therapy.
  europepmc 2026 置信度 0.80