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• Review for "Pathogenic Bacteria Characterization through Portable Optical Scatter Device and Machine Learning"
  crossref 2025-10-01T21:13:15Z 置信度 0.70
• Review for "Construction of Predictive Machine Learning Model of Glioma‐Associated Gut Microbiota"
  crossref 2025-10-01T00:13:47Z 置信度 0.70
• Predicting Solar Irradiance using Machine Learning
  crossref Salabh Shashank, Neha Tyagi, Rajat Kumar Behera, Hrudaya Kumar Tripathy 2025-10-21T17:07:42Z 置信度 0.70
• Classification
  crossref 2026-02-05T00:05:56Z 置信度 0.70
• Travel distance prediction for rock avalanche based on machine learning
  Rock avalanches are one of the most destructive geological phenomena in mountainous regions. Understanding the dynamics and characteristics of rock avalanche movement plays a crucial role in assessing the potential hazards. However, the prediction for rock ava…
  crossref Ruoshen Lin 2024-03-09T03:12:10Z 置信度 0.70
• Predicting stock prices using linear and non linear machine learning models
  crossref Ishaan Bondre 2025-10-05T07:28:12Z 置信度 0.70
• The Machine That Goes “Ping”: Machine Learning and Pattern Recognition
  crossref Jesús Rogel-Salazar 2025-05-15T17:58:16Z 置信度 0.70
• Soft touchdowns for tiny robots
  crossref Ryan Dahn 2025-05-13T10:59:20Z 置信度 0.70
• Machine Learning and Deep Learning for Multi-Source Precipitation Integration in the Yangtze River Basin
   Accurate precipitation estimation is crucial for hydrological modeling and flood forecasting in the Yangtze River Basin (YRB), China. This study explores the use of machine learning (ML) and deep learning (DL) methods to fuse multi-source precipitati…
  crossref Tao Chen 2025-03-14T16:48:36Z 置信度 0.70
• Integrating Traditional Machine Learning and Deep Learning Methods for Enhanced Wilms Tumor Detection
  Background/Objectives: Wilms tumor is the most common pediatric renal malignancy, and delayed or inaccurate diagnosis can significantly affect clinical outcomes. This study aimed to evaluate whether integrating traditional machine-learning and deep-learning mo…
  crossref Anirudh Anandarao, Bhadresh Amarnath 2026-01-02T01:09:21Z 置信度 0.70
• Learning Systems
  crossref Mutlu Yuksel, Yigit Aydede 2025-12-04T17:53:56Z 置信度 0.70
• A Study on the Application of Machine Learning Models in Stock Price Prediction and Portfolio Optimization
  crossref Keyin Tang 2026-07-19T11:57:04Z 置信度 0.70
• Fine-tuned YOLO-based deep learning model for detecting malaria parasites and leukocytes in thick smear images: A Tanzanian case study
  crossref Beston Lufyagila, Bonny Mgawe, Anael Sam 2025-07-15T17:04:48Z 置信度 0.70
• Toward Spatio‐Temporally Consistent Multi‐Site Fire Danger Downscaling With Explainable Deep Learning
  Abstract This study introduces a novel Convolutional Long Short‐Term Memory neural networks (ConvLSTM)‐based multi‐site downscaling approach for fire danger prediction, that leverages the properties of Long‐Short Term Memory (LSTM) Recursive Neural Networks an…
  crossref Óscar Mirones, Jorge Baño‐Medina, Swen Brands, Joaquín Bedia 2025-01-21T12:02:39Z 置信度 0.70
• Towards Xai for the Facilitation of Human-Machine Learning of Graph Structure
  crossref Julia Handl, Nikolay Mehandjiev 2025-09-17T17:29:13Z 置信度 0.70
• Identifying critical fire spread to the wildland–urban interface using cellular automata and reinforcement learning
  crossref Javier González-Villa, David Lázaro, Arturo Cuesta, Adriana Balboa 等 2025-11-05T05:42:01Z 置信度 0.70
• Data-Driven Innovations: Transforming Healthcare through Machine Learning Integration
  Today's healthcare sector generates an unprecedented amount of data, creating a promising junction between data mining and machine learning. This research aims to achieve two key healthcare goals. First, it effortlessly integrates AI into clinical decision-sup…
  crossref Purna Chandra Rao Kandimalla, Anuradha T 2025-01-03T06:44:18Z 置信度 0.70
• Machine learning
  crossref 2012-06-19T17:06:44Z 置信度 0.70
• Big ideas from tiny minds: Vicarious learning in jumping spiders
  crossref R. Matt Adams, Alan Kamil 2013-11-04T16:03:40Z 置信度 0.70
• Decision letter for "Integration of Deep Learning and Machine Learning Techniques for Advancing the Detection of Plant Diseases"
  crossref 2025-09-30T23:01:19Z 置信度 0.70
• Enhanced Deep Learning and Machine Learning Framework for Automated Citrus Disease Detection
  Citrus is a fruit crop that significantly contributes to the global economy but many factors such as citrus disease and pest causes a significant damage to both the quality and production of citrus fruit. Various traditional method were developed for disease d…
  crossref Meenakshi Vishnoi, Vasudha Vashisht, Ashwani Kumar Dubey 2025-03-26T12:56:17Z 置信度 0.70
• Machine-learning molecular simulations show role of atomic-scale roughness in hydrophilicity
  Simulations comparing aluminum oxide models with differing amounts of corrugation demonstrate the significance of hydroxyl groups in water interactions.
  crossref Adam Liebendorfer 2025-11-20T13:49:36Z 置信度 0.70
• Attention-Based Deep Learning for Runoff Forecasting: Evaluating the Temporal Fusion Transformer Against Traditional Machine Learning Models
  Reliable runoff forecasting is critical for water management and flood preparedness in Nepal’s steep, data-scarce catchments. Traditional models such as SWAT provide process insights but demand extensive calibration and detailed inputs often unavailable in suc…
  crossref Gunjan Mishra 2025-11-20T17:34:19Z 置信度 0.70
• Geological Knowledge‐Guided Dual‐Branch Deep Learning Model for Identification of Geochemical Anomalies Related to Mineralization
  Abstract Geochemical survey data are a type of spatial big data that play an increasingly significant role in mineral exploration. One challenge in the era of big data is how to mine geochemical data in support of mineral exploration. In this study, based on a…
  crossref Ying Xu, Renguang Zuo, Yang Bai 2025-01-21T06:58:07Z 置信度 0.70
• Comparative Analysis of Machine Learning and Deep Learning Techniques for Predicting and Detecting Cyberbullying on Social Media
  crossref Deepika Jain, Manisha Shrimali 2025-04-15T12:19:23Z 置信度 0.70
• Agentic AI-Driven Real-Time Inventory Management Using Distributed Cloud Architectures and Machine Learning
  crossref Nitin Tiwari 2025-10-21T17:07:42Z 置信度 0.70
• A Skillful Prediction of Monsoon Intraseasonal Oscillation Using Deep Learning
  Abstract The northward‐propagating 30–60 days mode of monsoon rainfall anomalies over India, commonly referred to as the monsoon intraseasonal oscillation (MISO), plays a critical role in driving the active and break spells over the monsoon zone of the country…
  crossref K. M. Anirudh, Prasang Raj, S. Sandeep, Hariprasad Kodamana 等 2025-04-14T03:16:51Z 置信度 0.70
• Bio-Inspired Algorithms-Based Machine Learning and Deep Learning Models in Healthcare 6.0
  crossref Shugufta Fatima, C. Kishor Kumar Reddy, Marlia Mohad Hanafiah, R. Madana Mohana 2025-01-09T18:23:10Z 置信度 0.70
• Machine learning methods for improving stock price prediction accuracy
  crossref Priya Rani, Devarani Devi Ningombam 2025-07-04T10:42:08Z 置信度 0.70
• Machine learning based Malicious URLDetection
  crossref Hosuru Prashanthi, Ms.Mallarapu Poojitha 2025-06-01T04:46:23Z 置信度 0.70
• Enhancing Free Text Keystroke Authentication with GAN-Optimized Deep Learning Classifiers
  crossref Jonathan A. Bazan, Katerina Potika, Petros Potikas 2025-05-09T03:22:11Z 置信度 0.70
• 63Chapter 4 Optimization for Machine Learning: Advancing Unsupervised Learning Techniques
  crossref Monica Bhutani, Mohammad Shuaib Mir, Faheem Ahmad Reegu, Shahnawaz Ayoub 等 2026-01-19T18:34:03Z 置信度 0.70
• School Readiness in Preschool-Age Children with Critical Congenital Heart Disease
  crossref H. Gerry Taylor, Jessica Quach, Josh Bricker, Amber Riggs 等 2024-04-01T09:12:10Z 置信度 0.70
• A Comprehensive Review on Heart Disease Detection Using Machine Learning and Deep Learning Techniques
  Heart disease remains a leading global cause of mortality, claiming millions of lives yearly due to conditions like coronary artery disease, myocardial infarction, and heart failure [1]. Early and accurate detection is crucial for effective treatment, timely i…
  crossref MAHARSHI S PATEL, VED A PATEL 2025-04-18T00:01:41Z 置信度 0.70
• Leveraging machine learning and deep learning for SAR image classification
  The study conducted a comprehensive analysis of contemporary machine learning and deep learning methods for the classification of synthetic aperture radar (SAR) images. The primary objective was to identify architectures and approaches that ensure high classif…
  crossref Yurii Brovka 2025-10-02T08:41:18Z 置信度 0.70
• Spiking Neural Networks: Model, Learning Algorithms, and Hardware Implementations
  crossref Ruiqing Yan 2026-01-19T20:53:06Z 置信度 0.70
• Machine Learning and Deep Learning
  crossref Mauro Cardone 2025-04-25T09:26:45Z 置信度 0.70
• Cataract Detection and Classification Using YOLOv9 and Machine Learning
  crossref Falguni Suryawanshi, Ktv Reddy 2025-03-28T02:32:33Z 置信度 0.70
• Why Use Automated Machine Learning?
  Machine learning is involved in search, translation, detecting depression, likelihood of college dropout, finding lost children, and to sell all kinds of products. While barely beyond its inception, the current machine learning revolution will affect people an…
  crossref Kai R. Larsen, Daniel S. Becker 2021-07-21T12:49:28Z 置信度 0.70
• Decision letter for "Integration of Deep Learning and Machine Learning Techniques for Advancing the Detection of Plant Diseases"
  crossref 2025-09-30T23:01:19Z 置信度 0.70
• Political Speech Analysis Using Machine Learning and Deep Learning: A Comprehensive Literature Review
  crossref Kapil Deshwal, Dolly Sharma 2025-10-25T05:07:51Z 置信度 0.70
• Tiny vs. tinier: Baseline ViT-tiny vs. ensemble-distilled student on imbalanced fracture detection
  crossref Aeriel Nathen, Gading Aditya Perdana, Gilbert Jefferson, Muhammad Fikri Hasani 等 2025-11-06T20:39:04Z 置信度 0.70
• Data-Driven Evaluation of Truck Driving Performance withStatistical and Machine Learning Methods
  crossref 2025-12-09T08:03:42Z 置信度 0.70
• Machine Learning and Concept Formation
  crossref Pat Langley 2003-04-04T16:57:10Z 置信度 0.70
• Future Directions and Continuous Learning in AI
  crossref Ricky Leung 2025-11-10T19:26:52Z 置信度 0.70
• Catching tiny signals
  Quantum sensing can help detect diseases early and solve unanswered biomedical phenomena
  crossref Theodore Goodson 2025-09-04T18:01:48Z 置信度 0.70
• Pan‐European High‐Resolution Downscaling Using Deep Learning
  Abstract This study assesses the performance of a deep convolutional neural network in predicting near‐surface air temperature (T2m) and total precipitation (P) over Europe, comparing its results with the Copernicus European Regional Reanalysis (CERRA) and the…
  crossref Ramón Fuentes–Franco, Kristofer Krus, Mikhail Ivanov, Torben Koenigk 等 2025-10-21T05:45:01Z 置信度 0.70
• Utilizing AI and Machine Learning in Financial Analysis
  The financial sector is experiencing a significant transformation due to developments in Artificial Intelligence (AI) and Machine Learning (ML). These skills are flattering essential to a range of financial activities, including risk management, automated trad…
  crossref R. Saranya 2025-01-21T12:45:47Z 置信度 0.70
• SQL Injection Attack Detection using Machine Learning Algorithms
  SQL Injection is one of the most common vulnerabilities exploited for both privacy breaches and financial damage. It remains the top vulnerability on the most recent OWASP Top 10 list, with the number of such attacks on the rise. The SQL Injection Detection Ch…
  crossref Laila Aburashed, Marah AL Amoush, Wardeh Alrefai 2025-05-03T02:49:29Z 置信度 0.70
• Hierarchical Quasimetric Reinforcement Learning
  crossref Kaiqiang Ke, Zhonghai Ruan, Shengwen Tan, Weixia Wu 2025-08-13T09:53:11Z 置信度 0.70
• Development of Hybrid AI Models for Real-Time Cancer Diagnostics Using Multi-Modality Imaging (CT, MRI, PET)
  crossref 2025-01-31T08:44:00Z 置信度 0.70
• Adaptive Co-Design of Quantum Machine Learning Algorithms and Error Correction Protocols using Reinforcement Learning
  The convergence of quantum computing and artificial intelligence presents profound opportunities but faces significant hurdles, particularly in the Noisy Intermediate-Scale Quantum (NISQ) era. Quantum Machine Learning (QML) algorithms, while promising, exhibit…
  crossref Stephane Maes 2025-05-16T10:40:20Z 置信度 0.70
• Direct-drive fusion experiments gain insights from machine learning-driven 3D reconstructions
  Physics-informed model creates reconstructions based on experimental data, revealing plasma asymmetries and helping optimize input parameters.
  crossref Avery Thompson 2025-05-27T12:09:47Z 置信度 0.70
• Learning from Editorial Decisions: Optimizing Audience-Wide Content Promotions with Causal Machine Learning
  crossref Joel Persson, Stefan Feuerriegel, Cristina Kadar 2025-10-09T11:20:15Z 置信度 0.70
• Comparative Study of Deep Learning vs. Classical Machine Learning Models for Aspect Extraction in Amazon Product Reviews
  crossref Williams Toms 2025-07-21T14:40:26Z 置信度 0.70
• "Comparative Analysis of Machine Learning and Deep Learning Models for Malware Detection"
  Traditional cybersecurity solutions are severely hampered by the increasing sophistication of malware, which calls for enhanced detection methods. This study investigates a hybrid malware detection approach that combines machine learning (Ml) and deep learning…
  crossref Naveen P K, Deebalakshmi R, Hemanth V 2025-03-24T13:12:14Z 置信度 0.70
• The Synergistic Role of Machine Learning, Deep Learning, and Reinforcement Learning in Strengthening Cyber Security Measures for Crypto Currency Platforms
  This study explores the role of artificial intelligence (AI)-driven cybersecurity models in mitigating fraud, smart contract vulnerabilities, and regulatory challenges in cryptocurrency platforms. Utilizing datasets such as the Elliptic Bitcoin Dataset, Solidi…
  crossref Abayomi Titilola Olutimehin 2025-03-05T15:02:33Z 置信度 0.70
• Machine learning model improves chest X-ray and radiograph image diagnoses
  A convolutional neural network can identify critical lung issues with a 95% accuracy, outperforming humans.
  crossref Mara Johnson-Groh 2025-03-28T12:54:59Z 置信度 0.70
• River Discharge Forecasting in Mahanadi River Basin Based on Deep Learning Techniques
  crossref Sanjay Sharma, Sangeeta Kumari 2024-11-04T19:02:53Z 置信度 0.70
• Customer Churn Prediction: A Systematic Review of Recent Advances, Trends, and Challenges in Machine Learning and Deep Learning
  Background: Customer churn significantly impacts business revenues. Machine Learning (ML) and Deep Learning (DL) methods are increasingly adopted to predict churn, yet a systematic synthesis of recent advancements is lacking. Objectives: This systematic review…
  crossref Mehdi Imani, Majid Joudaki, Ali Beikmohammadi, Hamid Arabnia 2025-09-22T08:37:39Z 置信度 0.70
• Advances in Machine Learning for QSAR Modeling
  crossref Hadagali Ashoka, S Pradeep, K Manjunath, G S Nijaguna 等 2025-07-03T08:59:28Z 置信度 0.70
• Advancing Geographic Information Systems With Machine Learning
  A Geographic Information System (GIS) is a technological tool that allows for the capture, storage, analysis, and visualization of geographically referenced data. These systems integrate various forms of spatial and non-spatial data, facilitating the analysis …
  crossref E. Ivette Cota-Rivera 2025-03-06T16:19:41Z 置信度 0.70
• PhishGuard – fake website detection using machine learning
  crossref K. Janardhan, G. Brahmaiah, E. Abhilash, A. Mohan Vamsi Krishna 等 2025-11-14T13:05:12Z 置信度 0.70
• Predicting credit card fraud detection using machine learning
  crossref S. Naveen Kumar, V. Umamaheswari, M. Subrahmanyam, K. VijayaKumari 等 2025-11-14T13:05:12Z 置信度 0.70
• Machine learning operations
  crossref Ally S. Nyamawe, Mohamedi M. Mjahidi, Noe E. Nnko, Salim A. Diwani 等 2025-01-29T17:54:02Z 置信度 0.70
• Comparative Evaluation of Machine Learning and Deep Learning Models for Network Intrusion Detection
  crossref Abas Jama 2025-10-30T17:57:40Z 置信度 0.70
• A Leaf Disease Detection Using Machine Learning and Deep Learning: Comparative Study
  crossref Mooad Al-shalout, Mohamed Elleuch, Ali Douik 2025-02-28T12:43:20Z 置信度 0.70
• Decision letter for "Integration of Deep Learning and Machine Learning Techniques for Advancing the Detection of Plant Diseases"
  crossref 2025-09-30T23:01:19Z 置信度 0.70
• Limitations of Quantum Advantage in Unsupervised Machine Learning
  crossref Apoorva D. Patel 2025-09-22T17:42:24Z 置信度 0.70
• Performance Comparison of Deep Learning Models in Image Super-Resolution
  crossref Parth Bhatnagar, Manjit S Sodhi 2025-10-13T17:39:05Z 置信度 0.70
• Artificial Intelligence and Machine Learning in Corporate Finance
  crossref Lars Hornuf, Peter Schaefer 2025-04-08T18:17:41Z 置信度 0.70
• Extended Mind, Agency, and Machine Learning
  crossref 2025-11-22T05:17:27Z 置信度 0.70
• Detection of Celestial Anomalies Based on Light Curves and Machine Learning
  The universe harbors countless undiscovered celestial phenomena, including exoplanets, starspots, eclipsing binaries, and other brightness anomalies. With the increasing availability of high-quality photometric data from missions like TESS (Transiting Exoplane…
  crossref DING YIMING 2025-06-20T13:05:57Z 置信度 0.70
• Review: Modelling suspended sediment concentration in coastal Ireland using machine learning — R1/PR8
  crossref 2025-11-26T08:04:36Z 置信度 0.70
• Regression
  crossref 2026-02-05T00:05:56Z 置信度 0.70
• Sentiment Analysis of Restaurant Reviews Using Machine Learning Algorithms
  Abstract This study conducts a comparative analysis of traditional and ensemble machine learning techniques for classifying sentiments in restaurant reviews. Utilizing a carefully selected dataset of customer feedback marked as either positive (Liked) or negat…
  crossref Kabir Kohli 2025-10-16T02:35:26Z 置信度 0.70
• Machine Learning for Detecting Insider Threats in Financial Cybersecurity
  crossref Lawal G. Anand 2025-07-18T21:30:21Z 置信度 0.70
• A Machine Learning Stacking Classifier to Determine Aphasia Diagnosis and Severity
  Accurate diagnosis and assessment of Aphasia for patients is often obstructed due to underlying clinical biases. However, by using machine learning, it can provide a data-driven approach for overcoming these limitations, allowing patients to receive more consi…
  crossref Nandu Dammalapati 2025-07-26T21:23:52Z 置信度 0.70
• Learning Robust Simplex Sparse Representation Using Alternating Linearized Minimization Method
  crossref Zhennan Shi, Qiushi Wei 2026-04-07T19:54:58Z 置信度 0.70
• An Efficient Machine Learning-Based Prediction Model for JAK2 Inhibitor pIC50
  Background: Janus Kinase 2 (JAK2) is a key kinase in cellular signal transduction. Its abnormal activation is closely related to various myeloproliferative neoplasms and inflammatory diseases. Developing selective JAK2 inhibitors is an important direction in d…
  crossref Shengyao Liang 2025-05-06T02:24:22Z 置信度 0.70
• Scientific Machine Learning with Physics-Informed Neural Networks
  crossref Karthika Nasir, Aradhana Reva 2025-05-06T18:30:37Z 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
• An Efficient Machine Learning-Based Prediction Model for JAK2 Inhibitor pIC50
  **Background:** Janus Kinase 2 (JAK2) is a key kinase in cellular signal transduction. Its abnormal activation is closely related to various myeloproliferative neoplasms and inflammatory diseases. Developing selective JAK2 inhibitors is an important direction …
  crossref Shengyao Liang 2025-04-28T07:35:32Z 置信度 0.70
• Review for "Defect formation in CsSnI3 from Density Functional Theory and Machine Learning"
  crossref 2025-03-05T15:25:18Z 置信度 0.70
• Review for "Supervised Machine Learning for Predicting Drug Release from Acetalated Dextran Nanofibers"
  crossref 2025-03-30T03:42:37Z 置信度 0.70
• Smart Crop Prediction Using Random Forest and Machine Learning Models
  crossref Sobhana Behera 2025-04-21T14:33:01Z 置信度 0.70
• Challenges and Ethical Considerations of Machine Learning in Drug Discovery
  crossref Muhammad Abubakar 2025-04-04T09:29:31Z 置信度 0.70
• A Fast and Time-Efficient Glitch Classification Method: A Deep Learning-Based Visual Feature Extractor for Machine Learning Algorithms
  crossref Osman Tayfun Bişkin, İsmail Kirbaş, Ali Çelik 2025-04-11T09:13:54Z 置信度 0.70
• Design and Development of Solar Based Washing Machine Model for Tiny Family
  The solar-based washing system is very helpful, especially for those who are doing business as dry washer because the proposed method not only save electricity, it will save water too. In recent days, every house has its washing system. It will occupy some spa…
  crossref R. Arulmurugan 2023-01-10T06:58:26Z 置信度 0.70
• Machine Learning–Augmented ETL Pipelines for Fraud–Resistant Insurance Claims Processing
  The insurance industry is also affected by insurance fraud, which incurs massive financial losses and operational inefficiencies. Current fraud detection methods tend to be based on rule-based systems and static Extract, Transform, Load (ETL) pipelines, which …
  crossref Kawaljeet Singh Chadha 2025-06-25T13:36:28Z 置信度 0.70
• Advancing Mental Health Insights Through Machine Learning on EEG Data
  Machine learning techniques have shown promise in classifying mental states based on electroencephalography (EEG) data. This has implications for neuroscience, cognitive psychology, and human-computer interaction. The study applied seven machine learning algor…
  crossref Neepa Biswas, Suchismita Maiti, Sujata Kundu, Sudarsan Biswas 2025-07-03T10:23:27Z 置信度 0.70
• Quantum Machine Learning
  crossref Andrea Delgado, Kathleen E Hamilton 2025-12-15T11:17:22Z 置信度 0.70
• Notes
  crossref 2025-03-17T18:22:56Z 置信度 0.70
• ANALYSIS OF THE FRIENDS TV SERIES USING NLP AND MACHINE LEARNING
  crossref Machireddy Chaithanya 2025-12-15T16:09:47Z 置信度 0.70
• Brain Tumor Classification in Sustainable Healthcare using Machine Learning
  Abstract In sustainable healthcare, early and accurate diagnosis is crucial in reducing the burden on healthcare systems and improving patient outcomes. This paper explores the application of machine learning techniques, specifically K-Nearest Neighbors (KNN) …
  crossref Sanjay Patel 2025-01-10T05:59:47Z 置信度 0.70
• Front Matter
  crossref 2024-07-31T12:48:24Z 置信度 0.70
• Predicting Sequence Dependent Fluorescence with Classic Machine Learning Models
  Terminally labeled DNA oligonucleotides have wide applications in modern biology and biotechnological applications. It has been observed that the fluorescent intensity of light released from these fluorescent labels is heavily influenced by the terminal sequen…
  crossref Micheal Reed, Reza Zadegan 2025-12-23T09:40:52Z 置信度 0.70
• Two-Stage Machine Learning for Nonparametric Instrumental Variable Regression
  crossref David Bruns-Smith 2025-11-24T19:38:44Z 置信度 0.70
• Review for "Decoding lithium's subtle phase stability with a machine learning force field"
  crossref 2025-02-19T16:15:26Z 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