边缘智能 · 全部实体（第 29 / 100 页）

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• Review for "Rapid Detection of Sea Bass Quality Level with Machine Learning and Electronic Nose"
  crossref 2023-02-26T16:02:02Z 置信度 0.70
• Peer Review #1 of "Network intrusion detection using oversampling technique and machine learning algorithms (v0.1)"
  crossref 2022-01-13T01:30:27Z 置信度 0.70
• Review of: "Secure and Private Machine Learning: A Survey of Techniques and Applications"
  crossref Harsh Kasyap 2023-07-20T06:38:28Z 置信度 0.70
• Peer Review #1 of "Improving clinical refractive results of cataract surgery by machine learning (v0.1)"
  crossref 2019-07-07T02:30:17Z 置信度 0.70
• Review for "Machine Learning Prediction of Acute Toxicity with In Vivo Experiments on Tetrazole Derivatives"
  crossref 2025-11-12T21:07:41Z 置信度 0.70
• Machine Learning Integration in Cryptocurrency Trading: A Systematic Review of Fintech Implications
  Abstract This review synthesizes research on fintech implications of integrating machine learning algorithms into cryptocurrency trading strategies to address the fragmented understanding of their impact on trading efficacy, risk management, and financial inno…
  crossref Péter Lengyel, János Pancsira, István Füzesi 2025-10-27T12:37:12Z 置信度 0.70
• COVID-19 Detection Using Machine Learning: A Dataset-Centric Review
  crossref Ravneet Kaur 2026-02-02T07:24:58Z 置信度 0.70
• Machine Learning Techniques in Speech Generation: A Review
  crossref Ruchika Kumari, Amita Dev, Archana Balyan, Ashwani Kumar 2019-12-30T07:19:51Z 置信度 0.70
• Review of: "Generative Artificial Intelligence Using Machine Learning on Wireless Ad Hoc Networks"
  crossref Dr.Reshma V.K 2024-07-26T07:36:48Z 置信度 0.70
• Review for "Can the quality of published academic journal articles be assessed with machine learning?"
  crossref 2022-02-22T16:01:15Z 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 on Machine Learning Algorithms in Data Science
  Over the last few years, data science has become a big trend. Organizations all over the world have recognized the true intrinsic value of their results, resulting in a boom in demand for data scientists. It's becoming more common to set up Business Intelligen…
  crossref Pankaj A. Nawale, Vishwas R. Wadekar 2022-03-04T22:09:40Z 置信度 0.70
• Predicting the Risk of Surgical Complications Using Machine Learning Models
  Abstract Predicting the risk of surgical complications is essential to improve patient outcomes and optimize healthcare resources. In this paper, we propose the application of machine learning (ML) techniques to predict surgical risks based on pre-operative da…
  crossref Dheiver Francisco Santos 2024-11-14T02:26:08Z 置信度 0.70
• Machine learning for discovering laws of nature
  Abstract A macroscopic particle obeys Newton's law, and a microscopic particle obeys the principles of quantum mechanics - so where is the sharp boundary between the macroscopic and microscopic worlds? It was this "interpretation problem" that prompted Schrödi…
  crossref Lizhi Xin, Kevin Xin, Houwen Xin 2023-04-04T03:02:09Z 置信度 0.70
• Analysis of Different Machine Learning Models for Credit Card Fraud Detection
  Abstract The increase in number of online transactions has led to a significant amount of credit card fraud over the past decade. Unauthorized use of one’s credit card information by stealing the information through dark web or scam calls, poses a major risk t…
  crossref Harsh Mehta 2024-10-24T16:36:18Z 置信度 0.70
• Machine Learning-Based Implied Volatility Prediction and Trading Models for Options
  Abstract The occurrence of a series of major emergencies, such as the Russian-Ukrainian conflict and the COVID-19 epidemic, has caused a huge impact on the financial market, and the volatility of the global market has increased significantly. Facing the volati…
  crossref Diao Lin 2025-10-06T14:18:38Z 置信度 0.70
• Material Classification System using Inductive Tactile Sensors and Machine Learning Algorithms
  Abstract This study presents an innovative material classification system designed using an inductive tactile sensor and machine learning algorithms. A simple-structured sensor based on the principle of electromagnetic induction was developed to capture varyin…
  crossref Yuning Jiang 2024-11-18T22:12:07Z 置信度 0.70
• Crop Yield Prediction Using Machine Learning: A Pragmatic Approach
  Abstract The agricultural sector is the major driver of revenues in India. organic , economic, and seasonal factors all have got a bearing on an agricultural producer's manufacturing. Accurate crop yield prediction (CYP) is required due to the agricultural ind…
  crossref Rajswee Surana, Ritu Khandelwal 2024-07-01T18:06:21Z 置信度 0.70
• Review of: "Secure and Private Machine Learning: A Survey of Techniques and Applications"
  crossref Andrey Kim 2023-07-17T21:41:18Z 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
• Review for "Lightweight ELF Header Analysis Model for IoT Malwares Detection based on Machine Learning"
  crossref 2025-04-10T00:11:22Z 置信度 0.70
• Peer Review #2 of "Roof type classification with innovative machine learning approaches (v0.2)"
  crossref 2023-01-30T01:32:12Z 置信度 0.70
• Peer Review #1 of "Code4ML: a large-scale dataset of annotated Machine Learning code (v0.1)"
  crossref 2023-02-28T01:30:39Z 置信度 0.70
• Review of: "Secure and Private Machine Learning: A Survey of Techniques and Applications"
  crossref Haonan Yan 2023-07-10T23:06:37Z 置信度 0.70
• SOFTWARE DEFECT PREDICTION USING MACHINE LEARNING APPROACH : A Contemporary review
  <p>Detecting defects in software at the bleeding edge of a software development life cycle is vital. Identifying defects before the deployment of software aids in delivering high-quality products, and reduces development costs. Machine learning technique…
  crossref Abubakar Sadiq Shittu, Baseerat Abdulsalami 2023-07-17T02:44:15Z 置信度 0.70
• Review of: "Secure and Private Machine Learning: A Survey of Techniques and Applications"
  crossref George Meghabghab 2023-07-27T17:02:11Z 置信度 0.70
• Review of: "Secure and Private Machine Learning: A Survey of Techniques and Applications"
  crossref Orhan Korhan 2023-07-24T05:09:30Z 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
• 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 from quantum chemistry to predict experimental solvent effects on reaction rates"
  crossref 2024-01-11T16:11:25Z 置信度 0.70
• Machine Learning-Enhanced Requirements Engineering: A Systematic Literature Review
  crossref Ana-Gabriela Núñez, Maria Granda, Victor Saquicela, Otto Parra 2024-05-01T12:36:46Z 置信度 0.70
• A Review of Enhancing Women Safety in Social Media using Machine Learning
  crossref Konda Bhashini 2024-12-14T15:56:43Z 置信度 0.70
• A Systematic Review on the Use of Machine Learning Algorithms for Soil Fertility Prediction
  Abstract Soil fertility assessment is crucial for sustainable agriculture, directly impacting crop productivity and efficient resource management. Traditional assessment methods, while accurate, are often labor-intensive and time-consuming. This study provides…
  crossref GUEDEZOUME BEHANZIN Marthe Paulette 2025-03-14T03:07:06Z 置信度 0.70
• Peer Review #2 of "Cyber-attack method and perpetrator prediction using machine learning algorithms (v0.2)"
  crossref 2021-04-14T02:56:25Z 置信度 0.70
• Review for "Reduction of Persistent Stress-Equivalent Wind Biases With Machine Learning and Scatterometer Data"
  crossref 2025-10-21T22:59:16Z 置信度 0.70
• Peer Review #1 of "Cyber-attack method and perpetrator prediction using machine learning algorithms (v0.2)"
  crossref 2021-04-14T02:55:50Z 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
• Adaptive Platoon Offset Optimization Using Machine Learning for Heterogeneous Traffic Conditions
  Abstract Urban traffic congestion in Indian cities imposes heavy economic and envi-ronmental burdens, with commuters facing significant delays at signalized intersections. This paper presents APOO, a predict-then-optimize framework tai-lored for India’s hetero…
  crossref Om Shrivastava 2026-05-11T08:28:47Z 置信度 0.70
• Review of: "Predicting Mobile Money Transaction Fraud using Machine Learning Algorithms"
  crossref Qasem Abu Al-Haija 2022-10-20T10:16:45Z 置信度 0.70
• WITHDRAWN: A Survey and Analysis of Extreme Machine Learning Models and Its Techniques
  Abstract The full text of this preprint has been withdrawn by the authors due to author disagreement with the posting of the preprint. Therefore, the authors do not wish this work to be cited as a reference. Questions should be directed to the corresponding au…
  crossref 2022-06-13T16:00:52Z 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 2025-11-25T05:57:07Z 置信度 0.70
• Comparative Analysis of Machine Learning Algorithms for Predicting House Prices
  Abstract This study conducted a thorough examination of residential property data in the Abbotsford area of M elbourne with the goal of identifying significant trends in housing, regional patterns, and variables aff ecting home values.The dataset contained a n…
  crossref Sachith Nimesh Yamannage 2024-03-11T02:26:26Z 置信度 0.70
• Discover knowledge of big data in social networks using machine learning
  Abstract Big data is the product of human collective intelligence, which has a high cost with the development of e-commerce in terms of complexity, semantics, distribution and processing in web-based computing, cloud computing and computing intelligence. Big d…
  crossref Mahdi Ajdani 2024-07-01T05:31:26Z 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
• Advanced Optimization of 2D Material-BasedBiosensor Through Machine Learning
  Abstract This work introduces a highly sensitive and tunableTHz biosensor designed for detecting breast cancer cells. Theproposed sensor is based on a ring resonator with a centrallypositioned sample carrier, utilizing a hybrid structure of blackphosphorus (BP…
  crossref Aymen Hlali, Hassen Zairi 2025-06-23T16:06:11Z 置信度 0.70
• Optimum machine learning models for osteosarcoma cancer detection and classification
  Abstract Osteosarcoma is a bone-forming tumor which is more common with children and young adults than adults. Timely detection and classification of its type is crucial to its proper treatment and possible survival. Machine learning models, trained on dataset…
  crossref Amoakoh Gyasi-Agyei 2024-08-05T09:49:52Z 置信度 0.70
• Review for "Identifying factors associated with terrorist attack locations by data mining and machine learning"
  crossref 2023-04-09T17:03:15Z 置信度 0.70
• Review of: "Generative Artificial Intelligence Using Machine Learning on Wireless Ad Hoc Networks"
  crossref Hanaa Mohsin 2024-08-05T04:02:25Z 置信度 0.70
• Review for "Machine Learning Classification of Palatal Salivary Gland Tumors Using Clinical and Demographic Descriptors"
  crossref 2025-11-18T21:03:41Z 置信度 0.70
• Review for "Rapid Detection of Sea Bass Quality Level with Machine Learning and Electronic Nose"
  crossref 2023-02-26T16:02:02Z 置信度 0.70
• Review on Commodity Recognition and Inventory Counting Based on Machine Vision in Retail Scenarios
  crossref 2025-12-01T14:29:14Z 置信度 0.70
• Fabric Defect Detection Based on Machine Learning
  Abstract In this paper, a method is proposed for the fabric defect detection based on the two-level K-Nearest Neighbor classifiers. First, six features are extracted from the directional grey level co-occurrence matrix of the fabric input image. Next, the mini…
  crossref Zahra Nouri, Farahnaz Mohanna, Mina Boluki 2024-06-13T17:13:06Z 置信度 0.70
• Student Performance Prediction Using Machine Learning Techniques
  Abstract With the emergence of the covid 19 pandemic, E-learning usage was the only way to solve the problem of study interruption in educational institutions and universities. Therefore, this field has garnered significant attention in recent times. In this p…
  crossref Tarek Abd El-Hafeez, Ahmed Omar 2022-03-23T19:16:17Z 置信度 0.70
• Review for "Machine learning enabling high-throughput and remote operations at large-scale user facilities"
  crossref 2024-09-27T00:11:07Z 置信度 0.70
• Peer Review #2 of "TransPrise: a novel machine learning approach for eukaryotic promoter prediction (v0.1)"
  crossref 2019-11-06T01:30:37Z 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 "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 2023-07-11T03:33:55Z 置信度 0.70
• Review for "Leveraging advances in machine learning for the robust classification and interpretation of networks"
  crossref 2025-04-30T04:36:16Z 置信度 0.70
• Review for "A new, machine learning-based approach to metastatic neuroendocrine tumors of unknown origin"
  crossref 2026-02-08T21:09:38Z 置信度 0.70
• Fraud Detection in Fintech Leveraging Machine Learning and Behavioral Analytics
  Abstract Fraud detection in the fintech sector is a critical area of concern as financial transactions increasingly shift to digital platforms. This paper presents a comprehensive analysis of enhancing fraud detection in fintech by combining machine learning t…
  crossref Hari Prasad Josyula 2023-11-05T21:31:02Z 置信度 0.70
• Fake News Detection in Social Networks using Machine Learning: A Review
  crossref Sonali Raturi, Amit Kumar Mishra, Srabanti Maji 2022-06-07T11:40:25Z 置信度 0.70
• Using Machine Learning Techniques to Increase Profit by Retaining Customers
  Abstract According to the overview, client interest in the financial sector has recently increased and can be found in a variety of classes. It's a well-known fact that the cost of acquiring a new client is significantly higher than the cost of maintaining an …
  crossref Gandhi Jabakumar. G 2022-12-13T13:51:27Z 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 2020-03-17T03:56:00Z 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 for "Machine Learning-Enhanced Identification of Fluorophilic Interactions for Improved SERS Detection of PFOA"
  crossref 2026-02-20T21:04:29Z 置信度 0.70
• Review for "Regulatory‐based classification of rums: a chemometric and machine learning analysis"
  crossref 2024-09-11T17:14:27Z 置信度 0.70
• Review for "Adaptive DNA Cryptography With Intelligent Machine Learning for Cloud Data Defense"
  crossref 2025-09-30T23:37:33Z 置信度 0.70
• Review for "A new, machine learning-based approach to metastatic neuroendocrine tumors of unknown origin"
  crossref 2026-02-08T21:09:38Z 置信度 0.70
• Review for "Automated retrieval of information on threatened species from online sources using machine learning"
  crossref 2021-04-08T17:14:35Z 置信度 0.70
• Cloud computing English teaching application platform based on machine learning algorithm
  Abstract Due to the progress of computer technology at this stage, English teaching has gradually achieved reforms with the help of the Internet. This paper builds an English teaching application platform based on machine learning algorithms, and realizes pers…
  crossref Peili Zhang 2023-04-04T15:09:29Z 置信度 0.70
• Predicting Suspicious Money Laundering Transactions using Machine Learning Algorithms
  Abstract This study employs machine learning techniques to identify key drivers of suspicious activity reporting. The data for this study comes from all suspicious activities reported to the California government in 2018. In total, there were 45,000 records of…
  crossref Mark Lokanan, Vikas Maddhesia 2023-01-31T22:01:52Z 置信度 0.70
• Application of machine learning in measurement of ageing and geriatric diseases: A systematic review
  Abstract Background As the ageing population continues to grow in many countries, the prevalence of geriatric diseases is on the rise. In response, healthcare providers are exploring novel methods to enhance the quality of life for the elderly. Over the last d…
  crossref Ayushi Das, Preeti Dhillon 2023-06-13T15:32:52Z 置信度 0.70
• Peer Review Report For: Multimodal Machine Learning Approach for Diagnosing Atopic Dermatitis [version 1; peer review: 1 approved]
  crossref 2025-11-25T23:57:07Z 置信度 0.70
• Peer Review #2 of "Comparison of machine learning and deep learning techniques in promoter prediction across diverse species (v0.1)"
  crossref 2021-02-14T01:32:23Z 置信度 0.70
• Predicting participant attrition in paediatric clinical trials using machine learning and deep learning models
  Abstract Participant attrition in paediatric clinical trials remains a major challenge, leading to higher costs, longer trial durations, and compromised research outcomes. Existing retention and prediction methods have shown limited success. This study aimed t…
  crossref Mailosi Innussa, Priscilla Maliwichi, Clement Nyirenda 2026-02-27T14:12:36Z 置信度 0.70
• Comparison of Heart Disease Prediction Using different Machine Learning Algorithms
  Abstract Heart disease is a dreadful threat to the human society that affects globally. Any heart condition and its background should be identified as early as possible to enhance the likelihood of survival. After risks are identified, it helps to anticipate s…
  crossref Ashish Kumar Dass 2023-02-06T04:43:25Z 置信度 0.70
• Review for "Machine learning enabling high-throughput and remote operations at large-scale user facilities"
  crossref 2024-09-27T00:11:07Z 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
• Dimension reduction with structure-aware quantum circuits for hybrid machine learning
  Abstract Schmidt decomposition of a vector can be understood as writing the singular value decomposition (SVD) in vector form. A vector can be written as a linear combination of tensor product of two dimensional vectors by recursively applying Schmidt decompos…
  crossref Ammar Daskin 2025-08-26T05:52:02Z 置信度 0.70
• WITHDRAWN: Machine Learning based Intrustion Detection. System for IoT Applications using Explainable AI
  Abstract The full text of this preprint has been withdrawn, as it was submitted in error. Therefore, the authors do not wish this work to be cited as a reference. Questions should be directed to the corresponding author.
  crossref 2023-09-11T12:25:38Z 置信度 0.70
• Comparing Machine Learning and Traditional Statistical Methods for Gold Price Prediction
  Abstract Gold is as a chemical element with the symbol AU, which belongs to the metal chemical element group. However, this thesis examines gold from a financial rather than a chemical perspective. We can assume that gold was the first instrument used to store…
  crossref Richard Lesko 2025-07-08T02:12:37Z 置信度 0.70
• Review: Operational uncertainty in machine learning based debris block detection in urban waterways — R0/PR2
  crossref 2026-04-06T05:40:51Z 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 of: "A machine learning platform to estimate anti-SARS-CoV-2 activities"
  crossref Christina Eckhardt 2021-08-31T15:50:01Z 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
• Peer Review #1 of "Drought stress detection technique for wheat crop using machine learning (v0.2)"
  crossref 2023-05-24T02:30:27Z 置信度 0.70
• Review for "Machine learning enabling high-throughput and remote operations at large-scale user facilities"
  crossref 2024-09-27T00:11:07Z 置信度 0.70
• Review for "Bridging Structure and Activity in Nanocatalysts via Machine Learning and Global Structure Representations"
  crossref 2026-07-16T21:10:25Z 置信度 0.70
• Can Machine Learning Predict the Price of Art at Auction?
  crossref 2020-04-30T17:09:09Z 置信度 0.70
• A Review on Continuous Integration and Continuous Deployment (CI/CD) for Machine Learning
  crossref Ankur Mahida 2024-04-16T20:54:35Z 置信度 0.70
• Review of: "Generative Artificial Intelligence Using Machine Learning on Wireless Ad Hoc Networks"
  crossref Sakshi Gupta 2024-07-25T00:38:41Z 置信度 0.70
• Review of: "Generative Artificial Intelligence Using Machine Learning on Wireless Ad Hoc Networks"
  crossref Ali Seyfollahi 2024-08-05T12:15:40Z 置信度 0.70
• Peer Review #1 of "TransPrise: a novel machine learning approach for eukaryotic promoter prediction (v0.1)"
  crossref 2019-11-06T01:30:41Z 置信度 0.70
• Peer Review #2 of "Improving clinical refractive results of cataract surgery by machine learning (v0.1)"
  crossref 2019-07-07T02:30:16Z 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
• Review for "Data-driven machine learning models for decoding speech categorization from evoked brain responses"
  crossref 2021-03-13T16:18:45Z 置信度 0.70
• Review for "Research on the classification of ancient silicate glass artifacts based on machine learning"
  crossref 2024-06-27T17:23:08Z 置信度 0.70
• RNA-Seq Data Analyses and Machine Learning Predict Frailty Classifier Genes
  Abstract A set of frailty classifier genes is constructed based on a RNA-seq dataset with phenotypically contrasting frail and non-frail samples. Authentication of the obtained classifier genes as a generic set that will be applicable to new test samples is ve…
  crossref Marshall Tabetah 2025-10-27T12:15:26Z 置信度 0.70