边缘智能 · 全部实体（第 31 / 100 页）

本页收录第 3001–3100 条，共 10000 条 · 返回 边缘智能 首页

• Improving Tropical Cyclone Precipitation Forecasting With Deep Learning and Satellite Image Sequencing
  Abstract Precipitation forecasting in tropical cyclones (TC) is vital for warning systems and disaster management. Artificial intelligence (AI)‐based methods show promise in this domain. Here, we investigate two aspects of AI forecasting for TC precipitation: …
  crossref Nan Yang, Chong Wang, Xiaofeng Li 2024-05-27T21:09:06Z 置信度 0.70
• What we can do with one qubit in quantum machine learning: ten classical machine learning problems that can be solved with a single qubit
  crossref Manuel P. Cuéllar 2024-11-12T07:55:49Z 置信度 0.70
• A Comprehensive IDs to Detect Botnet Attacks Using Machine Learning Techniques
  crossref Abdullah Alghamdi, Ayad Barsoum 2024-07-11T17:41:52Z 置信度 0.70
• Applications of cluster-based transfer learning in image and localization tasks
  crossref Liuyi Yang, Patrick Finnerty, Chikara Ohta 2024-11-07T13:09:38Z 置信度 0.70
• Message from Conference Chair: FMLDS 2024
  crossref 2025-02-17T18:27:08Z 置信度 0.70
• Implementing Transfer Learning and Domain Adaptation in IoT
  The rapid expansion of IOT technologies has introduced unprecedented volumes and varieties of data, necessitating advanced analytical techniques to harness this information effectively. Transfer learning and domain adaptation have emerged as pivotal strategies…
  crossref N Rehna 2025-06-04T07:11:33Z 置信度 0.70
• PICL: Physics informed contrastive learning for partial differential equations
  Neural operators have recently grown in popularity as Partial Differential Equation (PDE) surrogate models. Learning solution functionals, rather than functions, has proven to be a powerful approach to calculate fast, accurate solutions to complex PDEs. While …
  crossref Cooper Lorsung, Amir Barati Farimani 2024-11-14T12:28:59Z 置信度 0.70
• Machine Learning–Based Online Visual Tracking with Multi-featured Adaptive Kernel Correlation Filter
  crossref P. Ranjithkumar, S. Nivethini 2024-04-15T19:02:10Z 置信度 0.70
• Predicting Bitcoin Price: Comparative Analysis of Machine Learning and Deep Learning Models
  Bitcoin has become a prominent financial instrument in recent years, attracting increasing attention as a digital currency. Accurately forecasting the valuation of a financial asset carries substantial significance for both retail and institutional investors. …
  crossref Ahmed İhsan Şimşek 2024-10-14T05:52:05Z 置信度 0.70
• Deep Learning and Extreme Learning Machine for the Diagnosis of Alzheimer's Disease
  The aim of this study to analyze the performance of some of the significant methods using machine learning techniques for diagnosis the Alzheimer’s disease (AD). Deep learning methods have been widely used in the AD diagnosis but Extreme learning machine (ELM)…
  crossref Ashutosh Mishra, Priya Arora, Akshay Jaiswal, Bireshwar Mazumdar 2024-01-30T15:57:00Z 置信度 0.70
• Chapter 5 Unsupervised learning model
  crossref 2024-12-17T05:21:44Z 置信度 0.70
• OSNR Monitoring for QPSK and QAM in Fiber-Optic Networks Using Machine Learning
  crossref Shakrajit Sahu, J. Christopher Clement 2024-08-02T15:03:41Z 置信度 0.70
• Machine learning approaches for intrusion detection
  crossref Kshyamasagar Mahanta, Hima Bindu Maringanti 2024-07-15T13:53:07Z 置信度 0.70
• Classification of Skin Lesions Using Deep Learning and Machine Learning Methods
  crossref Merve Gun, Gokhan Bilgin 2025-01-10T19:42:50Z 置信度 0.70
• "Advances in Emotion Text Analysis: A Systematic Review of Machine Learning and Deep Learning Techniques"
  Emotion text analysis, the study of discerning emotional content within textual data, has witnessed remarkable progress over the years. This review paper provides a comprehensive survey of the evolution of techniques and methodologies employed in the field, wi…
  crossref Dr. Shweta Bansal, Monika . 2024-06-04T09:43:19Z 置信度 0.70
• Enhancing Time Series Forecasting with Machine Learning and Deep Learning Models
  crossref Amit Kumar Sharma, Ritwick Roy, Sandeep Chaurasia 2024-10-22T16:02:58Z 置信度 0.70
• Enhancing River Channel Dimension Estimation: A Machine Learning Approach Leveraging the National Water Model, Hydrographic Networks, and Landscape Characteristics
  Abstract Knowledge of bankfull hydraulic geometry represents an essential requirement for various applications, including accurate flood prediction, hydrological routing, river behavior analysis, river management and engineering practices, water resource manag…
  crossref Arash Modaresi Rad, J. Michael Johnson, Zahra Ghahremani, James Coll 等 2024-11-25T11:24:51Z 置信度 0.70
• Leveraging Machine Learning Approaches to Predict Organic Carbon Abundance in Mars‐Analog Hypersaline Lake Sediments
  Abstract Modern advancements in laboratory and instrumental techniques in astrobiology have improved our life detection capabilities on both Earth and beyond. These advancements have also increased the complexity of data often resulting in data sets that are c…
  crossref Floyd Nichols, Alexandra Pontefract, Andrew L. Masterson, Mia L. Thompson 等 2024-06-23T23:45:08Z 置信度 0.70
• Preface: ICMLANT 2024
  crossref Vijender Kumar Solanki 2025-03-05T18:41:54Z 置信度 0.70
• The Early Warning Model of College Students' Learning Situations Based On Machine Learning
  crossref Zhiqing Li 2024-10-02T17:38:34Z 置信度 0.70
• DeltaAug: Cross-Modal Hard Feature Mining for Few-Shot Learning
  crossref Xuan Chen 2025-03-05T13:34:41Z 置信度 0.70
• Heart Disease Prediction by Machine Learning
  crossref Anubhav Mishra, Simran Sharma, Sayantani Dutta, Arijit Banerjee 等 2025-01-02T20:02:54Z 置信度 0.70
• Super-Teaching in Machine Learning
  crossref Dina Barak-Pelleg, Daniel Berend, Aryeh Kontorovich 2024-12-17T18:15:42Z 置信度 0.70
• Personalized Learning Recommendation System in E-learning Platforms Using Collaborative Filtering and Machine Learning
  crossref Joel Alanya-Beltran 2024-07-25T17:19:50Z 置信度 0.70
• MACHINE LEARNING ALGORITHMS FOR PERSONALIZED LEARNING PATHS
  crossref 2024-03-04T05:55:55Z 置信度 0.70
• Evaluating Energy Efficiency Strategies in a Tiny House
  crossref Jaya Mukhopadhyay, Diego Ruiz Diaz 2024-01-09T14:22:58Z 置信度 0.70
• Learning from Uncertainty: Improving Churn Prediction using Conformal Confidence Intervals
  crossref Yameng Guo, Seppe vanden Broucke 2025-03-04T18:39:11Z 置信度 0.70
• YYNet: A Deep Learning-Based Frame-to-Event Simulation Method
  crossref Jian Zhang 2024-09-19T17:22:29Z 置信度 0.70
• Learning from Text
  crossref Blaž Škrlj 2024-05-21T15:05:22Z 置信度 0.70
• Mapping Dissolved Oxygen Concentrations by Combining Shipboard and Argo Observations Using Machine Learning Algorithms
  Abstract The ocean oxygen (O 2 ) inventory has declined in recent decades but the estimates of O 2 trend are uncertain due to its sparse and irregular sampling. A refined estimate of deoxygenation rate is developed using machine learning techniques and biogeoc…
  crossref Takamitsu Ito, Ahron Cervania, Kaylin Cross, Sanika Ainchwar 等 2024-08-23T06:19:59Z 置信度 0.70
• A Machine Learning Zircon Trace Element Tool to Predict Porphyry Deposit Type and Resource Size
  Abstract Porphyry deposits are primarily known for their association with base metals like copper and to some extent molybdenum and gold. Here we present machine learning models, based on zircon composition, that provide quantitative distinction between differ…
  crossref Zi‐Hao Wen, Bo Xu, Christopher L. Kirkland, David R. Lentz 等 2024-10-18T10:09:52Z 置信度 0.70
• Machine Learning, Deep Learning e Aplicações
  Neste minicurso será apresentado e comentado brevemente sobre alguns conceitos básicos de Aprendizagem de Máquina (Machine Learning) relacionados aos tipos de aprendizagem que elas desenvolvem as quais podem ser: Aprendizagem Supervisionada e Aprendizagem Não …
  crossref Carlos Ropelatto Fernandes 2024-12-11T15:52:51Z 置信度 0.70
• Forecasting of Solar Power Generation Using Machine Learning and Deep Learning Algorithms
  Abstract This study analyses the predictability of solar electricity generation using various machine and deep learning methods on large solar datasets from diverse cities in Saudi Arabia and the United States. According to our most recent article [1], the "Mu…
  crossref Debasish Sarker, S. M. Rezaul Karim 2024-09-02T05:31:41Z 置信度 0.70
• OVERVIEW OF MACHINE LEARNING AND DEEP LEARNING
  crossref 2024-09-25T06:32:13Z 置信度 0.70
• Earthquake Classification Using Resnet 50 Model: A Machine Learning Approach
  ABSTRACT: Earthquakes can result in significant loss and damage to life and infrastructure, which requires rapid and accurate detection. Traditional methods often face challenges in classifying earthquake signals from noise especially in seismically active zon…
  crossref K. M. Kaushik Mahanta 2025-01-22T19:24:20Z 置信度 0.70
• Proceedings of the Eighth Workshop on Data Management for End-to-End Machine Learning
  crossref 2024-05-29T20:13:23Z 置信度 0.70
• Enhancing Salesforce with Machine Learning: Predictive Analytics for Optimized Workflow Automation
  crossref 2024-11-17T00:42:49Z 置信度 0.70
• Improved Diffusion Model for Fast Image Generation
  crossref Maoyu Mao, Zhuoyi Shen, Pengfei Fan 2024-12-02T10:47:56Z 置信度 0.70
• Predicting Student Performance in Flipped Learning through Machine Learning Techniques: A Bibliometric Analysis with R
  Machine learning (ML) is an emerging field of study that utilizes data to enhance the learning process and optimize the learning environment. The primary goals of ML are to observe students’ activities and provide early predictions about their academic perform…
  crossref Ragazou Vasiliki, Antonis Konstantinos 2024-12-12T09:46:23Z 置信度 0.70
• Case study: Handling small datasets – Transfer learning for medical images
  crossref Andrew Green, Alan McWilliam 2024-01-21T10:30:46Z 置信度 0.70
• Machine Learning–Based Image Processing in Radiotherapy
  crossref Shinichiro Mori, Yasukuni Mori 2025-01-22T09:14:50Z 置信度 0.70
• Prediction of Distributed River Sediment Respiration Rates Using Community‐Generated Data and Machine Learning
  Abstract River sediment microbial respiration is a key indicator of ecosystem functioning and the biogeochemical fluxes across this critical zone link surface and subsurface waters. As such, there is tremendous interest in measuring and mapping these respirati…
  crossref Stefan F. Gary, Timothy D. Scheibe, Em Rexer, Alvaro Vidal Torreira 等 2024-07-20T03:53:48Z 置信度 0.70
• Review of: "Machine Learning Methods in Algorithmic Trading: An Experimental Evaluation of Supervised Learning Techniques for Stock Price"
  crossref Qinan Wang 2024-01-02T23:27:21Z 置信度 0.70
• Chapter 8: Tiny Homes for Individuals Experiencing Homelessness and Living with Disabilities or Trauma
  crossref 2025-03-11T13:09:39Z 置信度 0.70
• Implementation of Hierarchically Coupled Tiny Network of Neurons to Discriminate Odors
  crossref Sunitha Ramachandran 2024-07-15T23:19:52Z 置信度 0.70
• Learning Technologies: Toward Machine Learning and Deep Learning for Cybersecurity
  crossref Iqbal H. Sarker 2024-04-28T10:01:14Z 置信度 0.70
• Chapter 9: Machine Learning and Deep Learning in Finance
  crossref 2025-01-14T08:52:31Z 置信度 0.70
• Human-Computer Interaction: Universal Design for Learning and AI in Accounting Curriculum
  crossref 2024-12-26T03:08:06Z 置信度 0.70
• A REVIEW OF RICE BLAST DISEASE DETECTION USING MACHINE LEARNING AND DEEP LEARNING
  crossref Biswajit Saha, Gour Sundar Mitra Thakur 2024-07-12T13:07:20Z 置信度 0.70
• Integrating deep learning with machine learning: technological approaches, methodologies, applications, opportunities, and challenges
  The field of artificial intelligence (AI) has seen tremendous advancements, particularly in machine learning (ML) and deep learning (DL) technologies. This research paper investigates the potential benefits of combining ML and DL to enhance performance and inn…
  crossref Nitin Rane, Saurabh Choudhary, Jayesh Rane 2024-05-31T13:01:26Z 置信度 0.70
• Detection of Smart Android Malware Employing Deep Learning and Machine Learning
  crossref Pooja B 2024-07-01T17:26:52Z 置信度 0.70
• Deep learning variational Monte Carlo for solving the electronic Schrödinger equation
  crossref 2024-05-27T07:46:54Z 置信度 0.70
• Feature Extraction by Traditional Machine Learning and Deep Learning for Facial Expression Classification
  crossref Deepa D. Mandave, Lalit V. Patil 2024-04-19T01:21:20Z 置信度 0.70
• Machine Learning Methods for Heart Disease Prediction
  crossref Hongyu Zhou 2024-11-25T18:59:59Z 置信度 0.70
• Parameter Optimization of Adaptive PID Controller Based on Deep Reinforcement Learning
  crossref Jinzhao Li 2025-04-29T17:29:35Z 置信度 0.70
• Credit scoring using machine learning and deep Learning-Based models
  <abstract><p>Credit scoring is a useful tool for assessing the capability of customers repayments. The purpose of this paper is to compare the predictive abilities of six credit scoring models: Linear Discriminant Analysis (LDA), Random Forests (RF…
  crossref Sami Mestiri 2024-05-07T06:32:16Z 置信度 0.70
• Probability Distributions
  crossref Charu C. Aggarwal 2024-05-14T18:01:47Z 置信度 0.70
• Post-quantum secure and efficient outsourced machine learning
  crossref Bo Shen, Jun Yang, Fei Yang, Yongyong Xu 2024-05-22T19:34:33Z 置信度 0.70
• Empowering Bangladesh's Financial Infrastructure, Machine Learning, and Deep Learning Perspectives on Banking Cybersecurity
  The rapid expansion of Bangladesh's financial infrastructure, coupled with the increasing digitization of banking services, underscores the critical importance of cybersecurity. Machine learning and deep learning methodologies have emerged as potent tools in c…
  crossref Md. Badiuzzaman Biplob 2024-09-04T01:46:34Z 置信度 0.70
• Explainable Machine Learning for Alarm Prediction
  crossref Kalleb Abreu, Julio Reis, André Santos, Giorgio Zucchi 2024-05-02T19:14:30Z 置信度 0.70
• Materials informatics with machine learning
  crossref T. Miyake, Y. Ando 2023-05-05T18:19:26Z 置信度 0.70
• Index
  crossref 2024-08-23T13:21:26Z 置信度 0.70
• Chapter 27: Appendix: Geophysics Background
  crossref 2024-12-18T22:35:18Z 置信度 0.70
• Feature extraction and selection
  crossref Maria Deprez, Emma C. Robinson 2024-01-18T13:40:57Z 置信度 0.70
• Reinforcement Learning as an Improvement Heuristic for Real-World Production Scheduling
  crossref Arthur Müller, Lukas Vollenkemper 2025-03-04T18:39:11Z 置信度 0.70
• Geometric Algebra Applications Vol. III
  crossref Eduardo Bayro-Corrochano 2024-09-26T19:02:03Z 置信度 0.70
• Enhancing Continuous Well Flow Rates Estimation with Ensemble Machine Learning Models
  Abstract This study introduces a novel method to enhance predictive model performance for estimating continuous well production flow rates using daily operational conditions. The approach leverages machine learning algorithms, employing bagging as ensemble tec…
  crossref V. Martinez 2024-04-09T00:03:00Z 置信度 0.70
• PREDICTING FINANCIAL INFORMATION BY USING SUPERVISED MACHINE LEARNING METHODS
  crossref 2024-03-30T08:47:21Z 置信度 0.70
• Front Matter
  crossref 2024-06-19T16:26:55Z 置信度 0.70
• Chapter 6: Deep Neural Networks
  crossref 2024-04-11T18:47:43Z 置信度 0.70
• Hyper-parameter Tuning
  crossref Umberto Michelucci 2024-05-16T15:01:42Z 置信度 0.70
• Pandemia Prediction Using Machine Learning
  crossref Amir Nasir 2024-05-20T08:45:24Z 置信度 0.70
• Machine Learning for Agriculture: YOLOv7 for Multiple Tomato Fruit Diseases Detection
  crossref 2025-01-21T09:12:57Z 置信度 0.70
• Chapter 1: Introduction
  crossref 2024-03-26T11:03:09Z 置信度 0.70
• Machine Learning-Based Automatic Fault Diagnosis Method for Operating Systems
  crossref 2024-04-24T11:35:37Z 置信度 0.70
• Python for Machine Learning
  crossref A. Lakshmi Muddana, Sandhya Vinayakam 2024-04-18T19:01:45Z 置信度 0.70
• Evaluating Machine Learning Classifiers for Prostate Cancer Diagnosis: A Comparative Study
  crossref 2024-11-30T02:27:14Z 置信度 0.70
• Enhancing Tumor Classification Through Machine Learning Algorithms for Breast Cancer Diagnosis
  crossref 2024-07-02T02:04:47Z 置信度 0.70
• Also of Interest
  crossref 2024-08-23T13:21:26Z 置信度 0.70
• Machine Learning Based Early Rejection of Low Performance Cells in Li Ion Battery Production
  crossref Xukuan Xu, Michael J. Moeckel 2024-05-29T16:20:33Z 置信度 0.70
• Copyright
  crossref 2024-07-19T05:36:33Z 置信度 0.70
• Sponsors
  crossref 2024-10-29T17:28:54Z 置信度 0.70
• Transforming Ophthalmology: The Impact of Artificial Intelligence and Machine Learning
  crossref 2026-03-28T09:04:34Z 置信度 0.70
• Machine Learning for Nonlinear Fiber Optics
  In this talk, we will review our recent work on the application of the techniques of machine learning to control, predict, and analyse nonlinear dynamics in optical fiber systems. Full-text article not available; see video presentation
  crossref Goëry Genty 2024-12-16T15:02:46Z 置信度 0.70
• Botnet Classification using Machine Learning
  crossref Man Ni, Gabriela Mogos 2024-11-29T18:49:10Z 置信度 0.70
• Image Processing and Machine Learning Techniques for Detecting Stress in IT Professionals
  crossref 2024-10-18T02:17:57Z 置信度 0.70
• Designing Polymer Nanocomposites for Optimizing and Predicting Using Machine Learning Algorithms
  crossref 2024-07-31T12:56:30Z 置信度 0.70
• Utilizing Machine Learning to Mitigate Attack Risks in MANET
  crossref 2024-09-03T08:03:28Z 置信度 0.70
• An Alternate History for Machine Learning?
  crossref Peter Rousseeuw 2024-05-24T18:58:08Z 置信度 0.70
• Index
  crossref 2024-07-19T05:40:15Z 置信度 0.70
• Role of Database in Epidemiological Situation
  In this technological era, the technology of databases is very essential to many aspects of modern life. To give the prospective medical practitioner, the finest in class and most recent medical knowledge, it seems mandatory that education in the health domain…
  crossref Kanika Soni, Shelly Sachdeva, Shivani Batra 2024-03-07T14:29:53Z 置信度 0.70
• Research on the Classification of Apple Leaf Pathology Images Based on Deep Learning
  crossref Zongheng Xu 2026-01-22T20:58:30Z 置信度 0.70
• Learning Input Driven Dynamic Bayesian Networks with Measurement Noise
  crossref David Veres, Ping Li, Visakan Kadirkamanathan 2025-03-04T18:39:11Z 置信度 0.70
• Deep Learning — MLP Neural Networks Explained
  crossref Carsten Lange 2024-04-29T15:20:15Z 置信度 0.70
• 8 Deep learning
  crossref 2024-05-07T04:33:40Z 置信度 0.70
• Research on Practical Applications of Machine Learning and Deep Learning Based on Distributed Computing
  crossref 2024-06-27T11:33:02Z 置信度 0.70
• Channel Estimation and Data Transmission Optimization with Deep Learning in Wireless Communication Systems
  crossref Ziwei Li 2026-01-22T20:58:30Z 置信度 0.70
• Machine Learning-Based Wine Quality Predictive Modelling
  crossref Xiang Li 2024-11-25T18:59:59Z 置信度 0.70
• Homemade Renegades
  crossref Allison Formanack 2025-06-23T12:01:43Z 置信度 0.70
• Advanced computer architecture optimization for machine learning/deep learning
  Abstract The recent progress in Machine Learning (Géron, 2022) and particularly Deep Learning (Goodfellow, 2016) models exposed the limitations of traditional computer architectures. Modern algorithms demonstrate highly increased computational demands and data…
  crossref Shefqet Meda, Ervin Domazet 2024-07-31T20:18:20Z 置信度 0.70