边缘智能 · 全部实体（第 19 / 100 页）

本页收录第 1801–1900 条，共 10000 条 · 返回 边缘智能 首页

• Machine Learning for Differentiating Dengue from Chikungunya in Northern Brazil
  Abstract Purpose: Dengue and chikungunya, viral diseases spread by Aedes mosquitoes, are prevalent in northern Brazil, where overlapping symptoms hinder accurate diagnosis. This study aims to develop machine learning models to differentiate these diseases, enh…
  crossref Victor Hugo Ovani Marchetti 2025-05-21T05:05:38Z 置信度 0.70
• Reviewer #1 (Public review): Machine learning of dissection photographs and surface scanning for quantitative 3D neuropathology
  crossref 2024-06-20T06:10:20Z 置信度 0.70
• Review for "Accurate and efficient machine learning interatomic potentials for finite temperature modelling of molecular crystals"
  crossref 2025-05-25T06:08:09Z 置信度 0.70
• Review for "Unsupervised machine learning techniques applied to composite reliability assessment of power systems"
  crossref 2021-09-20T17:11:27Z 置信度 0.70
• Review for "Automated Structural Analysis of Small Angle Scattering Data from Common Nanoparticles via Machine Learning"
  crossref 2025-05-02T20:54:31Z 置信度 0.70
• Challenges and Opportunities in Machine Learning for Bioenergy Crop Yield Prediction: A Review
  crossref Olugbenga Akande 2024-07-24T14:35:50Z 置信度 0.70
• Improving Clinical Trial Design Using Interpretable Machine Learning Based Approach
  Abstract This study proposes using a machine learning pipeline to optimise clinical trial design. The goal is to use machine learning modelling to predict early termination probability of clinical trials and to understand feature contributions driving this out…
  crossref Ece Kavalci, Anthony Hartshorn 2022-09-01T19:34:46Z 置信度 0.70
• Review for "Observation of the hexatic phase in a two-dimensional complex plasma using machine learning"
  crossref 2024-11-15T01:36:33Z 置信度 0.70
• Early Stage Diabetes Prediction by Approach Using Machine Learning Techniques
  Abstract Diabetes is the most viral and chronic disease throughout the world. A large number of people are affected by this chronic disease. Early detection of diabetes in a patient is crucial for ensuring a good quality of life. Machine learning techniques or…
  crossref Muhammad Zarar, Yulin Wang 2023-07-12T18:37:53Z 置信度 0.70
• Cloud Security: A Review Based on Machine Learning Techniques
  crossref 2025-09-22T11:03:39Z 置信度 0.70
• Review for "Ensuring Transparency and Trust in Supervised Machine Learning Studies: A Checklist for Psychological Researchers"
  crossref 2026-03-13T21:07:08Z 置信度 0.70
• Review of: "Tweeting AI: A Machine Learning Approach for Bird Species Detection and Classification"
  crossref Ramalingam Kamalraj 2023-07-11T07:05:57Z 置信度 0.70
• Reviewer #1 (Public Review): Broad functional profiling of fission yeast proteins using phenomics and machine learning
  crossref 2023-10-03T09:51:21Z 置信度 0.70
• Review for "Firefly Interval Selection Combined With Extreme Learning Machine for Spectral Quantification of Complex Samples"
  crossref 2024-07-03T17:12:25Z 置信度 0.70
• Review for "Data-Augmented Response Surface Methodology-Machine Learning Hybrid Model for Predicting Polyvinyl Butyral Synthesis"
  crossref 2026-04-01T21:14:06Z 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
• Review of: "Secure and Private Machine Learning: A Survey of Techniques and Applications"
  crossref Muhammad Imran Tariq 2023-07-03T07:21:38Z 置信度 0.70
• Review of: "Supply Chain Fraud Prediction with Machine Learning and Artificial intelligence"
  crossref Ferdin Joe John Joseph 2022-10-03T02:01:47Z 置信度 0.70
• Review for "Synthesis of Challenging Cyclic Tetrapeptides by Machine Learning Assisted High-throughput Continuous Flow Technology"
  crossref 2025-03-05T15:42:14Z 置信度 0.70
• Reviewer #1 (Public Review): Machine learning of dissection photographs and surface scanning for quantitative 3D neuropathology
  crossref 2024-03-21T09:26:03Z 置信度 0.70
• Review for "Exploring the potential of machine learning for more efficient development and production of biopharmaceuticals"
  crossref 2022-08-08T09:04:55Z 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
• Peer Review Report For: Improving palliative care with machine learning and routine data: a rapid review [version 2; peer review: 3 approved]
  crossref 2025-11-21T12:22:07Z 置信度 0.70
• Artificial Intelligence & Machine Learning Models to Predict Thyroid Cancer during Pregnancy: A Review
  crossref Shefali Raizada 2024-06-03T12:18:01Z 置信度 0.70
• Detection of Suspicious Human Behavior Using Deep Learning and Machine Learning leveraging IoT and Sensors: A Review
  crossref Shivansh Shivansh, Pradeep Chouksey, Parveen Sadotra, Mayank Chopra 等 2025-06-27T15:07:41Z 置信度 0.70
• A Review of Machine Learning Approaches for Semantics-Based String Matching
  crossref Srivatsana Srivatsana, Kala K U 2024-06-24T02:09:27Z 置信度 0.70
• Explainability Versus Accuracy of Machine Learning Models: The Role of Task Uncertainty and Need for Interaction with the Machine Learning Model
  crossref Dominik Hammann, Marc Wouters 2025-02-25T10:05:15Z 置信度 0.70
• Database task processing optimization based on Performance evaluation and machine learning algorithm
  Abstract One of the key components of artificial intelligence algorithms is machine learning, involving a variety of fields, and has been applied in many artificial intelligence systems, including computer vision algorithm, radio network algorithm, medical dia…
  crossref Aqin Deng 2023-03-13T20:32:23Z 置信度 0.70
• Machine Learning Based Indian raga Identification for Music Therapy
  Abstract The concept of Music Therapy in India is approached with different terms like Music Therapy or Healing Music, Nada Chikitsa, Nada Yoga, Raga Chikitsa, and Raga Therapy. Out of many languages in the world, which are used to convey information, the lang…
  crossref Anitha K, Parameshachari B D 2022-06-30T14:56:31Z 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
• Urban Area Extraction Using Machine Learning Algorithms
  Abstract Urbanization is the major concern nowadays for the whole world as it is increasing at a very tremendous rate. Several studies have already been conducted and new researches still going on in this particular field. Considering optical data for urban ma…
  crossref Ajay Saraswat, Sanjay Kumar Ghosh, Sumit Kumar 2022-09-22T20:59:09Z 置信度 0.70
• Enhanced Network Security against SQL Injection Attack Using Machine Learning
  Abstract SQL injection attacks pose a significant risk to the security of computer networks. These attacks have the potential to gain unauthorized access to sensitive data, modify or remove data, or even render entire websites and databases inoperable. Convent…
  crossref Seema Joshi, Neel Oza 2024-05-09T17:56:33Z 置信度 0.70
• Review for "Automated Structural Analysis of Small Angle Scattering Data from Common Nanoparticles via Machine Learning"
  crossref 2025-05-02T20:54:31Z 置信度 0.70
• Review for "Machine Learning Assisted Construction of a Shallow Depth Dynamic Ansatz for Noisy Quantum Hardware"
  crossref 2024-01-20T23:42:33Z 置信度 0.70
• Review for "Machine Learning Model Predicts Postoperative Outcomes in Chronic Rhinosinusitis With Nasal Polyps"
  crossref 2024-08-08T17:08:06Z 置信度 0.70
• Peer Review #2 of "Classification model for accuracy and intrusion detection using machine learning approach (v0.1)"
  crossref 2021-04-12T02:31:50Z 置信度 0.70
• Review for "Using Scientific Machine Learning to Develop Universal Differential Equation for Multicomponent Adsorption Separation Systems"
  crossref 2022-06-20T17:02:26Z 置信度 0.70
• Review for "Machine learning projection of climate and technology impacts on crops key to food security"
  crossref 2025-04-12T17:18:13Z 置信度 0.70
• Reviewer #2 (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
• Application of Machine Learning for Enhanced Optimal Power Flow in Power Systems: A Review
  This paper synthesizes the latest advancements in solving the Optimal Power Flow (OPF) problem within power systems through the application of machine learning, specifically neural network technologies. The OPF problem, crucial for efficient and reliable power…
  crossref Zeheng Xia 2024-08-20T15:06:37Z 置信度 0.70
• Review for "Machine Learning-Driven Multidimensional Tea Profiling from a Single SERS Spectrum: Toward Practical Application"
  crossref 2026-03-18T21:14:28Z 置信度 0.70
• Reviewer #1 (Public review): Unraveling the Power of NAP-CNB’s Machine Learning-enhanced Tumor Neoantigen Prediction
  crossref 2025-02-12T09:25:41Z 置信度 0.70
• Review for "Creating a Real‐Time Capable Surrogate Model of a Wind Turbine Using Machine Learning"
  crossref 2025-10-16T21:15:52Z 置信度 0.70
• Review for "Firefly Interval Selection Combined With Extreme Learning Machine for Spectral Quantification of Complex Samples"
  crossref 2024-07-03T17:12:25Z 置信度 0.70
• Review for "Automated Structural Analysis of Small Angle Scattering Data from Common Nanoparticles via Machine Learning"
  crossref 2025-05-02T20:54:31Z 置信度 0.70
• Review for "Electrostatic Embedding Machine Learning for Ground and Excited State Molecular Dynamics of Solvated Molecules"
  crossref 2024-10-11T17:58:46Z 置信度 0.70
• Review for "Machine learning classification reveals robust morphometric biomarker of glial and neuronal arbors"
  crossref 2022-10-05T17:02:37Z 置信度 0.70
• Using Electroencephalographic Signal Processing and Machine Learning Binary Classification to diagnose Schizophrenia
  Abstract Electroencephalography (EEG) is an electrical activity measurement technique used to identify brain activity in Schizophrenic patients. Novel machine learning methods have emerged with useful applications for Schizophrenia classification. This researc…
  crossref Krish Desai 2023-03-28T04:34:56Z 置信度 0.70
• Review for "Phylogenomics of the rarest animals: a second species of Micrognathozoa identified by machine learning"
  crossref 2025-02-20T16:15:36Z 置信度 0.70
• Review of: "Generative Artificial Intelligence Using Machine Learning on Wireless Ad Hoc Networks"
  crossref Zahraa A. Jaaz 2024-07-26T11:08:55Z 置信度 0.70
• Review for "Machine learning is a valid method for predicting prehospital delay after acute ischemic stroke"
  crossref 2020-08-19T17:03:37Z 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 "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
• Deep Learning and Machine Learning Techniques for Apple Leaf Disease Recognition: A Systematic Review and Future Directions
  The new generations of exploring automated quality assessment of fruits and vegetables in post-harvest processing based on machine vision, hyperspectral imaging and deep learning applications. We examine the technical issues and challenges associated with the …
  crossref Rahul Neware 2025-05-16T03:11:12Z 置信度 0.70
• Peer Review #1 of "A systematic review of literature on credit card cyber fraud detection using machine and deep learning (v0.2)"
  crossref 2023-04-22T02:30:31Z 置信度 0.70
• Review of: "Machine Learning Methods in Algorithmic Trading: An Experimental Evaluation of Supervised Learning Techniques for Stock Price"
  crossref Marcos de Almeida Leone Filho 2023-10-25T15:15:48Z 置信度 0.70
• Machine Learning and Deep Learning for Soil Analysis and Classification of Micro and Macro Nutrient Using IOT
  Abstract The soil is the entity that keeps living on Earth alive. Despite substantial progress in the service sector, agriculture remains India's primary source of employment and revenue. The soil sample is a useful method for determining the present nutrient …
  crossref Ashish Kumar, Jagdeep Kaur 2024-03-11T05:59:05Z 置信度 0.70
• tiny ergonomic world
  crossref James Schiller 2013-05-05T13:00:37Z 置信度 0.70
• Big Machine Meets Tiny' God Particle': High-Energy Physics Seeks Final Secret of Universe
  crossref 2008-01-04T18:38:15Z 置信度 0.70
• Improving Tuberculosis Diagnosis and Forecasting Through Machine Learning Techniques: A Systematic Review
  crossref 2024-12-07T08:26:11Z 置信度 0.70
• Peer Review of “Machine Learning and Medication Adherence: Scoping Review”
  crossref Przemyslaw Kardas 2021-11-24T09:17:07Z 置信度 0.70
• Peer Review #2 of "A systematic review of literature on credit card cyber fraud detection using machine and deep learning (v0.2)"
  crossref 2023-04-22T02:30:26Z 置信度 0.70
• Identification of Cuproptosis-Related Gene in Sepsis by Machine-Learning
  Abstract Sepsis is a serious public issue that affects millions of people. Cuproptosis, a newly form of cell death, has been linked to the course of certain illnesses. Therefore, the goal of our study was to investigate clusters of sepsis associated with cupro…
  crossref Junjie Xie, Lijun Xue 2022-10-27T19:55:57Z 置信度 0.70
• Review of: "Tweeting AI: A Machine Learning Approach for Bird Species Detection and Classification"
  crossref Azharul Islam 2023-07-19T20:48:55Z 置信度 0.70
• Review for "Integrated environment for Machine Learning-aided heat transfer optimisation in internal flows: Hammerhead software"
  crossref 2025-12-22T23:01:03Z 置信度 0.70
• Review of: "Secure and Private Machine Learning: A Survey of Techniques and Applications"
  crossref Agbotiname Lucky Imoize 2023-07-25T06:27:47Z 置信度 0.70
• Review for "Application of Machine Learning in the Diagnosis of Temporomandibular Disorders: An Overview"
  crossref 2025-03-12T17:52:12Z 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 for "Accurate and efficient machine learning interatomic potentials for finite temperature modelling of molecular crystals"
  crossref 2025-05-25T06:08:09Z 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 of "Machine Translation System Using Deep Learning for Punjabi to English"
  crossref António Manuel Batista Martins 2022-01-24T07:55:19Z 置信度 0.70
• Precision Agriculture using Machine Learning and Deep Learning Algorithms: A Comprehensive Study
  Abstract Farming has evolved from the basic irrigation techniques used in ancient river valley civilizations to the sophisticated Precision Agriculture of today. It plays an important role in the advancement of human society. This paper explores the use of Mac…
  crossref Md. Ashav Noman Mahin, Md. Nasim Adnan, Rahamatullah Khondoker 2025-05-06T02:45:36Z 置信度 0.70
• CNN-based Deep Learning Techniques for Movie Review Analysis of Sentiments
  Twitter, Facebook, Instagram, etc. are just a few of the many online discussion platforms that have sprung up as a result of the explosion in internet use and popularity, giving individuals a place to air their views on current events. Films get both acclamati…
  crossref Prateek Garg 2025-02-12T11:53:51Z 置信度 0.70
• Machine learning concepts
  crossref 2012-06-19T17:06:44Z 置信度 0.70
• A Review of Machine Learning Techniques for Early Detection of Alzheimer's disease
  crossref 2024-12-07T09:05:57Z 置信度 0.70
• Artificial Intelligence, Machine Learning, Deep Learning, and Blockchain in Financial and Banking Services: A Comprehensive Review
  This research offers a thorough overview of the current research on artificial intelligence, machine learning, deep learning, and blockchain applications in the financial and banking industries, emphasizing the notable influence these technologies have had on …
  crossref Mallikarjuna Paramesha, Nitin Rane, Jayesh Rane 2024-06-07T13:40:58Z 置信度 0.70
• How does Machine Learning Predict the Success of Bank Telemarketing?
  Abstract This paper intends to understand the antecedents in the success of bank telemarketing prediction modeling better and seeks to evaluate the predictive performance of machine learning. For this, we are using a machine learning technique on the dataset o…
  crossref Youngkeun Choi, Jae Choi 2022-05-31T21:36:33Z 置信度 0.70
• Using Machine Learning Techniques to predict malaria prevalence in Rwanda
  Abstract Malaria is a terrible communicable disease that leads to the death of people every day throughout the world despite the effort made to eradicate it. This vector-borne disease affects Africa because of limited medical resource, lack of information and …
  crossref Esperance Mukeshimana, Joseph Nzabanita 2024-10-25T03:00:01Z 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: "Tweeting AI: A Machine Learning Approach for Bird Species Detection and Classification"
  crossref Thang Ta 2023-07-05T17:01:08Z 置信度 0.70
• Review of: "Implementing Machine Learning to predict the 10-year risk of Cardiovascular Disease"
  crossref Smita Parija 2023-09-29T13:58:48Z 置信度 0.70
• Review for "Inverse design of skull osteoinductive implants with multi-level pore structure through machine learning"
  crossref 2024-08-27T17:03:15Z 置信度 0.70
• Metabolic-Electrophysiological Modeling and Machine Learning Diagnosis of Diabetic Neuropathy
  Abstract This study establishes an integrated theoretical framework for understanding and diagnosingdiabetic neuropathy through combined metabolic, electrophysiological, and artificialintelligence (AI) approaches. We derive mathematical models characterizing p…
  crossref Hossein Sadeghi, Fatemeh Seif 2026-05-25T08:32:57Z 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 for "A machine learning approach to facilitate parasitic egg identification in a conspecific brood parasite"
  crossref 2025-11-27T22:47:54Z 置信度 0.70
• Causal Effect Analysis of Serving Performance Using Double Machine Learning
  Abstract Serving performance is widely recognized as a critical factor influencing match outcomes in professional tennis. To assess its true contribution to winning probability, this study applies Double Machine Learning (DML) to 2013–2024 ATP men’s singles ma…
  crossref JIACAI MA, FUZHU ZOU 2025-08-26T12:04:19Z 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
• Agricultural Crops Disease Identification and Classification through Leaf Images using Machine Learning and Deep Learning Technique: A Review
  With the rapid growth of population agricultural food production is now a major aspect. Today major crops are suffering from various types of diseases. The diseases in crops are in the different parts like roots, leaves, and stem; but leaves are the most commo…
  crossref Ganesh Bhadur, Rajneesh Rani 2020-04-02T07:31:24Z 置信度 0.70
• Machine Learning and Imbalanced Learning Approaches in Condition-Based Monitoring and Predictive Maintenance: A Systematic Literature Review
  Maintaining machine health remains a significant challenge in general industrial production because of the complexities involved in diagnostics or prognostics. Current methods rely heavily on the human touch, which makes them expensive and unsustainable, espec…
  crossref Abed M. Mutemi, Fernando Bacao 2021-12-20T23:01:16Z 置信度 0.70
• An Empirical Review on Machine Learning and Deep Learning Models for Crop Disease Detection and Classification
  Increasing crop diseases are being reported, threatening the world food supply and requiring methods of detection that are both sophisticated and precise. Despite strides and successes of deep learning (DL) and machine learning (ML), most assessments fail to a…
  crossref Rajeshwari B, Balajee Maram, T Venkatakrishnamoorthy 2025-01-14T08:33:32Z 置信度 0.70
• Peer Review Report For: Machine learning methods to predict particulate matter PM2.5 [version 1; peer review: 2 approved]
  crossref 2025-11-25T16:47:06Z 置信度 0.70
• Flood Prediction Using Machine Learning, Literature Review
  Floods are among the most destructive natural disasters, which are highly complex to model. The research on the advancement of flood prediction models has been contributing to risk reduction, policy suggestion, minimizing loss of human life and reducing the pr…
  crossref Amir Mosavi, Pinar Ozturk, Kwok-wing Chau 2018-10-29T05:30:51Z 置信度 0.70
• Review for "Comparative analysis of machine learning algorithms for prediction of smart grid stability †"
  crossref 2021-02-19T19:05:11Z 置信度 0.70
• A Review of Some Classic Solvers
  crossref 2022-06-01T00:05:30Z 置信度 0.70
• Review for "Inductorless Cascaded Low-Power DC-DC Converter: Optimizing Performance Metrics through Machine Learning Techniques"
  crossref 2025-11-04T21:09:38Z 置信度 0.70
• Review for "An interpretable machine learning framework for modelling macromolecular interaction mechanisms with nuclear magnetic resonance"
  crossref 2024-09-27T00:12:05Z 置信度 0.70
• Review for "Leveraging Machine Learning Models to Explore Disparities in Prostate Cancer Diagnosis, Treatment, and Survival"
  crossref 2025-10-10T21:07:00Z 置信度 0.70
• Machine Learning in Health: A Systematic Review
  crossref Alessandra Rodrigues Cardoso Padovam, Danilo Rodrigues Pereira, Romis Attux 2025-04-28T01:43:16Z 置信度 0.70
• Peer Review #1 of "A decision support system for primary headache developed through machine learning (v0.3)"
  crossref 2022-01-16T01:30:58Z 置信度 0.70
• Review for "Merging computational fluid dynamics and machine learning to reveal animal migration strategies"
  crossref 2021-04-06T17:01:37Z 置信度 0.70