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• Review of: "Generative Artificial Intelligence Using Machine Learning on Wireless Ad Hoc Networks"
  crossref Ryhan Uddin 2024-08-16T23:09:20Z 置信度 0.70
• Artificial Intelligence Model for Parkinson Disease Detection using Machine Learning Algorithms
  Abstract Background In order for Parkinson's disease (PD) treatment and examination to be logical, a key requirement is that estimates of disease stage and severity are quantitative, reliable, and repeatable. The PD research in the past 50 years has been overw…
  crossref Sunil Yadav 2022-09-26T20:58:38Z 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 "Microplastic Detection and Recognition System Enabled by Triboelectric Nanogenerator and Machine Learning Techniques"
  crossref 2026-02-10T21:10:51Z 置信度 0.70
• Review for "Machine Learning-Based Failure Prediction in Concrete Slabs and Cubes Under Impact Loading"
  crossref 2025-10-01T00:24:55Z 置信度 0.70
• Review for "Robust ecological analysis of camera trap data labelled by a machine learning model"
  crossref 2021-02-22T05:45:18Z 置信度 0.70
• A Review on Industrial Surface Defect Detection Based on Deep Learning Technology
  crossref Shengxiang Qi, Jiarong Yang, Zhenyi Zhong 2020-12-17T18:50:38Z 置信度 0.70
• Machine Learning Tools For off-Target Early Safety Assessment of Small Molecules In Drug Discovery (Single Task Neural Networks Vs Automated Machine Learning)
  Abstract Unpredicted drug safety issues constitute the majority of failures in the pharmaceutical industry according to several studies[1-3]. Some of these preclinical safety issues could be attributed to the non-selective binding of compounds to targets other…
  crossref Doha Naga, Wolfgang Muster, Eunice Musvasva, Gerhard F. Ecker 2021-10-11T20:01:09Z 置信度 0.70
• FALCON: Fast Active Learning for Machine Learning Potentials in Atomistic and ab initio Molecular Dynamics Simulations
  Abstract The use of machine learning (ML) techniques has become increasingly important in computational chemistry and materials science, in recent years. ML potentials can be used for the construction of potential energy surfaces (PES) to avoid computationally…
  crossref Wilke Dononelli, Noah Felis 2025-07-17T02:49:07Z 置信度 0.70
• Forecasting Bitcoin Prices: A Comparative Study of Machine Learning and Deep Learning Algorithms
  Abstract The cryptocurrency market, particularly Bitcoin, has witnessed significant volatility, making accurate price prediction a challenging yet crucial task. This research explores the application of four powerful machine learning algorithms), Light Gradien…
  crossref Hamed Alizadegan, Arian Radmehr, Mohsen Asghari Ilani 2024-05-09T10:38:59Z 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 "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 "Machine Learning-Enhanced Identification of Fluorophilic Interactions for Improved SERS Detection of PFOA"
  crossref 2026-02-20T21:04:29Z 置信度 0.70
• Statistical and Machine Learning Analysis of PM2.5 Concentrations and Meteorological Influences
  Abstract Fine particulate matter (PM2.5) poses a significant public health risk in densely populated urban areas like Dhaka, Bangladesh. This study presents a comprehensive analysis of PM2.5 concentrations and their relationship with meteorological variables f…
  crossref Md. iftekharuzzaman 2025-12-08T11:07:56Z 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 of: "Generative Artificial Intelligence Using Machine Learning on Wireless Ad Hoc Networks"
  crossref Arkin Gupta 2024-12-31T18:53:11Z 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 "Identifying Careless Survey Respondents Through Machine Learning Using Responses to a Gibberish Scale"
  crossref 2025-10-10T21:05:28Z 置信度 0.70
• Machine Learning in Accounting and Finance Research: A Literature Review
  crossref Evangelos Liaras, Michail Nerantzidis 2023-02-12T16:25:38Z 置信度 0.70
• Mathematics Review
  crossref 2020-07-09T23:41:13Z 置信度 0.70
• Review for "Machine Learning for Analyzing Atomic Force Microscopy (AFM) Images Generated from Polymer Blends"
  crossref 2024-10-22T17:13:03Z 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 of "A machine learning forecasting model for COVID-19 pandemic in India"
  crossref Sandeep Trivedi 2022-08-01T11:15:26Z 置信度 0.70
• Review for "Achieving a Scalable Machine Learning Workflow for Crystal Structure Discovery with Experimental Validations"
  crossref 2026-05-26T07:48:36Z 置信度 0.70
• Review for "Diagnosis of Schizophrenia and Its Subtypes Using MRI and Machine Learning"
  crossref 2025-01-01T16:07:43Z 置信度 0.70
• Peer Review #2 of "Prioritizing bona fide bacterial small RNAs with machine learning classifiers (v0.2)"
  crossref 2019-01-29T01:30:58Z 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 of "A Mass- and Energy-Conserving Framework for Using Machine Learning to Speed Computations"
  crossref 2020-05-29T12:29:06Z 置信度 0.70
• Peer Review #2 of "Drought stress detection technique for wheat crop using machine learning (v0.1)"
  crossref 2023-05-24T02:30:23Z 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 of: "Strong Machine Learning: a Way Towards Human-Level Intelligence"
  crossref Sikder Tahsin Al-Amin 2024-02-04T19:56:51Z 置信度 0.70
• Review for "Machine learning-driven implementation of workflow optimization in cloud computing for IoT applications"
  crossref 2025-07-10T02:46:52Z 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
• Machine Learning Techniques in Bankruptcy Prediction: A Systematic Literature Review
  crossref Apostolos Dasilas, Anna Rigani 2023-09-20T15:18:55Z 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 "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 of: "Generative Artificial Intelligence Using Machine Learning on Wireless Ad Hoc Networks"
  crossref Barnali Dey 2024-08-22T00:59:45Z 置信度 0.70
• Peer Review #2 of "Prioritizing bona fide bacterial small RNAs with machine learning classifiers (v0.1)"
  crossref 2019-01-29T01:30:48Z 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 of "Big-Data Science in Porous Materials: Materials Genomics and Machine Learning"
  crossref Ajit Singh 2021-02-25T13:10:13Z 置信度 0.70
• Review for "Leveraging machine learning and accelerometry to classify animal behaviours with uncertainty"
  crossref 2025-12-08T21:11:39Z 置信度 0.70
• A Review of Machine Learning Solutions to Denial-of-Services Attacks in Wireless Sensor Networks
  crossref Sedef Gunduz, Bilgehan Arslan, Mehmet Demirci 2016-03-03T17:17:42Z 置信度 0.70
• A Review of Explainable Machine Learning Methods for Malware Detection and Classification
  Traditional cybersecurity solutions have been greatly challenged by the fast growth of malware, making accurate and interpretable malware detection crucial. In recent years, deep learning (DL) and machine learning (ML) have gained traction as potent methods fo…
  crossref Mr. Deepak Mehta 2026-07-22T04:49:00Z 置信度 0.70
• Review on Malware Classification with a Hybrid Deep Learning
  This study introduces advanced methodology for classifying malware by leveraging hybrid deep learning algorithms. The research presents a pioneering framework that seamlessly integrates Convolutional Neural Networks (CNNs) and Long Short-Term Memory (LSTM) mod…
  crossref Divyashree N, Nagaraja J 2023-08-28T05:13:20Z 置信度 0.70
• Peer Review #2 of "Improved YOLOv4-tiny based on attention mechanism for skin detection (v0.3)"
  crossref 2023-03-15T02:32:05Z 置信度 0.70
• A Review of the High-Performance Gas Sensors Using Machine Learning
  crossref Shulin Yang, Gui Lei, Huoxi Xu, Zhigao Lan 等 2023-05-22T20:35:09Z 置信度 0.70
• Movie Review System Using Machine Learning
  Abstract Sentiment analysis, the natural language processing (NLP) industry, is concerned with discerning the emotional context of text. In the realm of movie reviews, sentiment analysis automates the task of determining whether a review conveys positive, nega…
  crossref Rahul Mishra Rahul Mishra, Hemant Hemant, Parveen Kumar Bajaj Parveen Kumar Bajaj 2024-04-30T03:06:35Z 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
• Machine Learning for Automating Monitoring, Review and Testing at Financial Institutions
  There is increasing deployment of machine learning algorithms by financial institutions during and after the coronavirus pandemic. However, majority of these models are being implemented for credit risk management, anti-fraud and anti-money laundering use case…
  crossref Jun Anthony Garcia 2023-07-26T08:35:17Z 置信度 0.70
• Peer Review #1 of "Cyber-attack method and perpetrator prediction using machine learning algorithms (v0.3)"
  crossref 2021-04-14T02:57:25Z 置信度 0.70
• Review of: "Generative Artificial Intelligence Using Machine Learning on Wireless Ad Hoc Networks"
  crossref Mahendra Prasad 2024-08-05T11:49:24Z 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 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
• Classifying Grains Using Behaviour-Informed Machine Learning
  Abstract Sorting granular materials such as ores, coffee beans, cereals, gravels and pills is essential forapplications in mineral processing, agriculture and waste recycling. Existing sorting methods are based on the detection of contrast in grain properties …
  crossref Sudip Laudari, Benjy Marks, Pierre Rognon 2021-12-17T15:45:30Z 置信度 0.70
• Position: The Machine Learning Community is Accumulating Calibration Debt Anonymized for Review
  <div> When a model says it is 90% confident, it should be right about 90% of the time. The gap between expressed confidence and actual reliability—calibration error—has been treated as a percommunity engineering detail. We argue it is something worse: a …
  crossref Madhav Mittal 2026-07-22T09:56:18Z 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
• Review for "Learning in a closed-loop brain-machine interface with distributed optogenetic cortical feedback"
  crossref 2022-12-15T16:38:18Z 置信度 0.70
• Advancements in Brain Cancer Detection Using Machine Learning-A Comprehensive Review.
  crossref Rabbi Hasan Himel 2024-10-17T08:35:59Z 置信度 0.70
• REVIEW OF MACHINE LEARNING
  In recent times, machine learning and deep learning have quickly risen to prominence as highly effective instruments across a multitude of domains, encompassing areas such as image and speech interpretation, the processing of natural language, and even applica…
  crossref Sevda Rezazadeh 2025-07-24T18:23:31Z 置信度 0.70
• A Systematic Review of Satellite Image Classification
  crossref 2025-07-22T07:21:42Z 置信度 0.70
• Review for "Fractal Analysis for Cognitive Impairment Classification in DAVF Using Machine Learning"
  crossref 2025-07-25T21:09:16Z 置信度 0.70
• The Prediction of Global Mean Temperature through Machine Learning
  Abstract Global Mean Temperature (GMT) is a very important variable to be predicted based on its history. The fluctuations in GMT might not be describable by exact mathematical modelling since the underlying Physics is not yet understood fully, and a data-driv…
  crossref Debdarsan Niyogi, Jayaraman Sriniva 2022-08-01T14:15:05Z 置信度 0.70
• Dating Greek Papyri Images with Machine Learning
  Abstract Dating papyri accurately is crucial not only to editing their texts, but also for our understanding of palaeography and the history of writing, ancient scholarship, material culture, networks in antiquity, etc. Most ancient manuscripts offer little ev…
  crossref Asimina Paparrigopoulou, John Pavlopoulos, Maria Konstantinidou 2022-11-17T09:35:08Z 置信度 0.70
• Review for "Diagnosis of Schizophrenia and Its Subtypes Using MRI and Machine Learning"
  crossref 2025-01-01T16:07:43Z 置信度 0.70
• Review for "Machine learning of polyurethane prepolymer viscosity: a comparison of chemical and physicochemical approaches"
  crossref 2025-11-04T21:08:47Z 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
• Review for "Machine Learning Inversion of Interatomic Force Constants from Single-Crystal Inelastic Neutron Scattering"
  crossref 2026-03-17T21:11:08Z 置信度 0.70
• Review for "Machine Learning Inversion of Interatomic Force Constants from Single-Crystal Inelastic Neutron Scattering"
  crossref 2026-03-17T21:11:08Z 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
• Peer Review #2 of "TransPrise: a novel machine learning approach for eukaryotic promoter prediction (v0.2)"
  crossref 2019-11-06T01:30:42Z 置信度 0.70
• Review of: "Secure and Private Machine Learning: A Survey of Techniques and Applications"
  crossref Rupen Mitra 2023-07-02T09:36:16Z 置信度 0.70
• Machine Learning and Neural Network Models for Cognitive Disorders: A Literature Review
  Cognitive disorders pose ongoing challenges for accurate diagnosis and treatment due to the brain’s complex, nonlinear mechanisms. This review examines the expanding role of machine learning and neural network models in understanding and managing cognitive dys…
  crossref Fimijoba Micheal Oladokun 2025-10-20T12:25:12Z 置信度 0.70
• Exploring the Intersection of Rough Set Theory and Machine Learning: A Review
  The Rough Set (RS) theory has clinched more popularity in input dimensionality reduction and managing impreciseness in datasets. Rough set applications in artificial intelligence have grown many folds in recent times. This heightened interest led to the coveri…
  crossref Naga Raju M 2024-07-29T10:46:59Z 置信度 0.70
• Review: Operational uncertainty in machine learning based debris block detection in urban waterways — R0/PR3
  crossref 2026-04-06T05:40:51Z 置信度 0.70
• Peer Review #2 of "An interpretable machine learning model for diagnosis of Alzheimer's disease (v0.1)"
  crossref 2019-03-06T01:31:55Z 置信度 0.70
• Review for "Machine Learning-Based Failure Prediction in Concrete Slabs and Cubes Under Impact Loading"
  crossref 2025-10-01T00:24:55Z 置信度 0.70
• SOFTWARE DEFECT PREDICTION USING MACHINE LEARNING APPROACH : A Contemporary review
  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 techniques are dep…
  crossref Abubakar Sadiq Shittu, Baseerat Abdulsalami 2023-07-16T22:44:15Z 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
• Research progress in imaging detection of brain metastases.
  europepmc 2026 置信度 0.80
• Review for "Perovskite single crystal SCLC measurement prediction using a machine learning model"
  crossref 2024-07-25T17:08:25Z 置信度 0.70
• Review for "Physics-informed machine learning enabled virtual experimentation for 3D printed thermoplastic"
  crossref 2024-10-03T17:14:32Z 置信度 0.70
• Latent Semantic Analysis
  crossref Hang Li 2023-12-06T00:02:11Z 置信度 0.70
• Can Destruction through Pakistan’s Continuous Floods Be Prevented Using Machine Learning?
  crossref Sana Shakeel 2024-01-16T19:30:31Z 置信度 0.70
• Attempt to Using Machine Learning Technique for Temperature Profile Estimation
  Accurate temperature profile estimation is a critical component in various atmospheric studies and applications, including weather forecasting, climate modeling, and atmospheric dynamics research. This study explores the potential of employing machine learning…
  crossref Qian Ye 2024-07-03T11:09:04Z 置信度 0.70
• Reviewer #3 (Public Review): Lipid discovery enabled by sequence statistics and machine learning
  crossref 2024-02-22T06:32:26Z 置信度 0.70
• Reviewer #2 (Public Review): Lipid discovery enabled by sequence statistics and machine learning
  crossref 2024-02-22T06:32:26Z 置信度 0.70
• Unveiling Alzheimer’s Early: A Comparative Exploration of Machine Learning Methods for Disease Detection
  crossref K. Venkatraman, S. Vishnu, D. Niranjan Kumar, D. Asha 2024-07-29T16:04:04Z 置信度 0.70
• A Multimedia-Driven Machine Learning Approach to Mastitis Detection in Dairy Cattle
  crossref Nishtha Negi, SRN Reddy 2024-11-22T14:16:12Z 置信度 0.70
• Machine Learning Components for Autonomous Navigation Systems
  crossref Kruttidipta Samal, Marilyn Wolf 2023-10-06T14:02:42Z 置信度 0.70
• Using Machine Learning to Achieve Cyber security Requirements: A Comprehensive
  crossref Mohammed Alsalamony 2024-07-17T11:19:19Z 置信度 0.70
• Review of: "Strong Machine Learning: a Way Towards Human-Level Intelligence"
  crossref Yaganteeswarudu Akkem 2024-02-04T23:38:01Z 置信度 0.70
• Machine Learning in AIML: SOLID WASTE MANAGEMENT TREATMENT
  With the confluence of exponentially increasing pop- ulation and continuous growth and development of urban cities, India calls upon an urgent need for large scale and efficient Solid Waste Management. India has seen a huge and drastic change in past few decad…
  crossref Gitanjali Gupta, Heena Khanna 2024-08-19T20:18:48Z 置信度 0.70
• REINDEER: A Protein-Ligand Feature Generator Software for Machine Learning Algorithms
  Machine learning-based scoring functions, which apply feature-generation methods for protein-ligand representation, have become ubiquitous in the past few years for binding affinity prediction. However, most of these feature-generation techniques are hidden in…
  crossref Milad Rayka 2024-04-09T03:59:50Z 置信度 0.70
• Review of: "Strong Machine Learning: a Way Towards Human-Level Intelligence"
  crossref Gurmohan Singh 2024-02-06T04:21:22Z 置信度 0.70
• Segmentation of Transmission Tower Components Based on Machine Learning
  crossref Satheeswari Damodaran, Leninisha Shanmugam, K. Parkavi, Nirmala Venkatachalam 等 2024-09-09T04:06:39Z 置信度 0.70
• SAAVY machine learning program can determine 3D culture viability without harming cells
  Machine learning trained image analysis software can accurately determine culture viability without killing the cells, enabling longitudinal studies.
  crossref Maura Shapiro 2024-03-28T12:42:31Z 置信度 0.70
• Research on machine vision-based unmanned aerial vehicle landing technology
  crossref Chao Xie 2024-04-01T14:13:09Z 置信度 0.70
• Phototropic bionics: realization of intelligent machine detection and obstacle avoidance
  crossref Sirui Pu 2024-04-01T14:12:51Z 置信度 0.70
• Automatic Photo Enhancer Using Machine Learning and Deep Learning with Python
  crossref S. Saravanan, Hemal Shingloo, Nameera Sajid, Navneet Lamba 等 2024-04-15T19:02:10Z 置信度 0.70
• Enhancing Cardiovascular Disease Prediction with Machine Learning: A Comparative Study Using the UCI Heart Disease Dataset
  crossref Hanwen Li 2025-07-01T23:23:26Z 置信度 0.70