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• Predicting the Daily Return Direction of the Stock Market Using Machine Learning and Deep Learning Algorithms
  crossref Yilin Zhang 2025-07-28T17:00:57Z 置信度 0.70
• AICDMB 2025 Copyright Page
  crossref 2025-12-12T18:33:34Z 置信度 0.70
• Machine Learning and Neural Network Models for Predicting AI Usage Towards WorkplaceHappiness and Work Engagement: An Emotional Intelligence Perspective
  crossref A Rajagopalan, C Vijayabanu 2025-12-12T18:33:34Z 置信度 0.70
• Machine learning: a better means for metal waste to reprocess
  crossref Aya Nabil Sayed, Md. Mosarrof Hossen, Tamim Al-Hasan, Mohammad Noorizadeh 等 2025-04-06T15:30:56Z 置信度 0.70
• Identification and classification of rheumatoid arthritis using artificial intelligence and machine learning
  crossref Seyed Mahmoud Sajjadi Mohammadabadi, Mahsa Borhani Peikani 2024-11-22T05:37:20Z 置信度 0.70
• Machine Learning Algorithms in Disease Diagnosis and Management
  crossref Rishabha Malviya, Niranjan Kaushik, Tamanna Rai, M. P. Saraswathy 等 2025-05-19T13:11:07Z 置信度 0.70
• Machine Learning-Based Wearable Devices for Healthcare Applications
  crossref Rishabha Malviya, Niranjan Kaushik, Tamanna Rai, M. P. Saraswathy 等 2025-05-19T13:11:07Z 置信度 0.70
• Hierarchical data modeling: A systematic comparison of statistical, tree-based, and neural network approaches
  crossref Marzieh Amiri Shahbazi, Nasibeh Azadeh-Fard 2025-06-24T19:34:17Z 置信度 0.70
• Churn Prediction Through Content Interaction Pattern Analysis: A Machine Learning Approach for Digital Service Providers
  crossref Anirudh Reddy Pathe 2025-06-11T11:18:15Z 置信度 0.70
• Embedded feature selection using dual-network architecture
  crossref Abderrahim Abbassi, Arved Dörpinghaus, Niklas Römgens, Tanja Grießmann 等 2025-06-18T01:26:41Z 置信度 0.70
• Leveraging Machine Learning for Official Statistics
  crossref Marco J. H. Puts, David Salgado, Piet J. H. Daas 2025-12-11T17:57:49Z 置信度 0.70
• Watch this oil droplet bounce endlessly, like a tiny basketball
  crossref 2025-08-21T17:18:37Z 置信度 0.70
• Review 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
• Predicting Obesity Risk Using Machine Learning and Deep Learning Techniques
  Obesity is the health epidemic of our time and it does not discriminate: affecting men, women and children alike. It occurs when body fat has become to an extreme or abnormal extent. Obesity is a significant risk factor for many serious health conditions inclu…
  crossref G.K. Kamalam, P. Kishore, S. Elango, C. Hariharan 2025-01-24T14:10:56Z 置信度 0.70
• Opening the black box of machine learning-controlled plasma treatments
  Understanding machine learning modifies cold atmospheric plasma medicine delivery in cancer treatments without being trained on detailed plasma parameters.
  crossref Katherine De Lange 2025-09-15T12:16:40Z 置信度 0.70
• An Optimized Deep Learning Model for Tiny Object Detection in UAV Imaging
  Recent advancements in deep learning models-based Unnamed Aerial Vehicle (UAV) object detection technologies have garnered significant interest in smart cities. The tiny object detection task is still a crucial challenge in research due to variant image resolu…
  crossref Wael Yahya Yaseen, Azal Monshed Abid, Sawsen Abdulhadi Mahmood 2025-10-31T07:02:36Z 置信度 0.70
• Financial Risk Prediction with Banking Monitoring for Cyber Security Analysis Using Automated Machine Learning
  crossref K. Rajkumar, Prassanna Jayachandran, Kannan Chakrapani, S. Magesh 等 2025-07-25T21:17:31Z 置信度 0.70
• MLPRAE 2025 Copyright Page
  crossref 2025-12-18T18:31:40Z 置信度 0.70
• Differential Privacy-Preserving Algorithms for Secure Training of Machine Learning Models
  crossref Sandeep Phanireddy 2025-06-25T09:42:52Z 置信度 0.70
• SURVEY ON INTELLIGENT TRANSPORT SYSTEMS: INSIGHTS OF MACHINE LEARNING AND DEEP LEARNING ALGORITHMS
  Autonomous Driving Systems (ADS) represent a critical component of modern Intelligent Transportation Systems (ITS) which aims to enhance road safety, traffic efficiency, and driving comfort through the most advanced automation. The paper aims to present a comp…
  crossref S Chithra, Vasanthan B, Sowparnika Ajaykumar 2025-07-20T18:58:46Z 置信度 0.70
• ICCCMLA 2025 Cover Page
  crossref 2026-07-02T19:42:14Z 置信度 0.70
• Quantum Machine Learning vs. Classical Machine Learning: A Case Study on Predicting University Performance Using Scientometric Indicators
  crossref Lukman Anas, Aghus Sofwan, Iwan Setiawan 2025-10-29T04:03:07Z 置信度 0.70
• A Predictive Machine Learning Analysis for Stroke Prediction
  crossref K.S. Neelukumari, L. Murali, Rithika R., Shenbagalakshmi E. 等 2025-06-27T17:42:05Z 置信度 0.70
• Snow Forecasting with Machine Learning to Unravel Meteorological Patterns for Precision Weather Prediction
  crossref Abdulaziz AlSowail, Mohammed Almashal, Musaed Bin Saeed, Nidal Nasser 等 2025-03-07T18:33:22Z 置信度 0.70
• Machine Learning in Cybersecurity Machine Learning's use in Cybersecurity and its Impact on the Perception of e-Governance
  crossref Ashish Purugulla 2025-07-03T17:34:29Z 置信度 0.70
• Urban Tourism Hotel Recommendation Model Based on Geographic Spatial Machine Learning Algorithm and Spatial Route Planning
  crossref Jingyi Wang, Xiao Zhou, Mengling Xian, Juan Pan 2025-10-08T09:32:17Z 置信度 0.70
• ROLE OF MACHINE LEARNING IN ANOMALY DETECTION AND INCIDENT RESPONSE
  One area of cybersecurity called "AI-powered incident response automation" makes use of machine learning (ML) and artificial intelligence (AI) to speed and simplify the process of responding to security issues. AI's sophisticated threat detection, analysis, an…
  crossref Dr. Sukhdev Singh, Namit, Rahul Gupta 2025-06-05T05:20:33Z 置信度 0.70
• A Plant Disease Detection Model Based on Improved Rtmdet-Tiny
  crossref shining ding 2025-07-30T02:38:47Z 置信度 0.70
• AICDMB 2025 Cover Page
  crossref 2025-12-12T18:33:34Z 置信度 0.70
• ICMLCN 2025 List Reviewer Page
  crossref 2025-09-03T17:49:08Z 置信度 0.70
• Machine learning-based methods for carbon emissions management in integrated energy systems
  crossref Mohammad Mehdi Amiri, Mohammad Taghi Ameli, Mohammad Reza Aghamohammadi, Hossein Ameli 等 2025-08-22T10:19:37Z 置信度 0.70
• Classification with reject option: Distribution-free error guarantees via conformal prediction
  crossref Johan Hallberg Szabadváry, Tuwe Löfström, Ulf Johansson, Cecilia Sönströd 等 2025-05-09T19:28:35Z 置信度 0.70
• A Tiny Change, a Giant Leap: Long-Tailed Class-Incremental Learning via Geometric Prototype Alignment
  crossref Xinyi Lai, Luojun Lin, Weijie Chen, Yuanlong Yu 2026-04-29T19:45:49Z 置信度 0.70
• Noninvasive continuous blood pressure monitoring using infrared spectroscopy and machine learning
  Diffuse correlation spectroscopy and a machine learning algorithm can provide continuous blood pressure feedback, enabling real-time monitoring during surgery and for at-risk patients.
  crossref Avery Thompson 2025-07-21T12:46:24Z 置信度 0.70
• Deep learning and neural networks
  crossref Kutub Thakur, Al-Sakib Khan Pathan 2025-11-05T17:32:46Z 置信度 0.70
• Leftover Food Recognition Using Deep Learning
  crossref Xiaoyan Dai 2025-11-26T05:54:48Z 置信度 0.70
• Image to Caption Generator Using Machine Learning and Deep Learning Models
  Image captioning is creating descriptive text from images. This has become a research focal point. The reason is advancements in deep learning. The paper delves into a comprehensive Image Captioning Method. It merges Convolutional Neural Networks (CNNs) with R…
  crossref Abhiraj Singh Sengar, Kritika Pandey, Pragya Tewari 2025-03-26T10:55:40Z 置信度 0.70
• Analyzing Crude Oil Price Movements with Predictive Machine Learning Techniques
  crossref Siddhant Verma, Rudra Kalyan Nayak 2025-10-21T17:07:42Z 置信度 0.70
• Revolutionizing Water Treatment Facilities with Machine Learning
  crossref A.V. Raghavendra Rao, Rompicherla Srividya, Sravani Sameera Vanjarana, B. Karuna 等 2025-09-12T21:20:48Z 置信度 0.70
• Computer Vision for Food Quality Assessment: Advances and Challenges
  crossref Khuram Shehzad, Umair Ali, Akhtar Munir 2025-02-24T17:38:13Z 置信度 0.70
• Predicting Ceramic Workers’ Lung Health via X-ray Using Machine Learning
  crossref Parvez Belim, Nirav Bhatt 2025-10-21T17:07:42Z 置信度 0.70
• Early sepsis prediction in elderly patients with urinary tract infections: a machine learning
  crossref 2025-10-23T09:19:26Z 置信度 0.70
• Copyright Page
  crossref 2026-01-14T20:39:11Z 置信度 0.70
• Editorial: Machine Learning and Statistical Learning with Applications 2025
  Machine learning and statistical learning have become central to modern scientific discovery and technological innovation [...]
  crossref Yan Zhang 2026-05-07T09:03:37Z 置信度 0.70
• Decision letter for "Active learning meets metadynamics: Automated workflow for reactive machine learning interatomic potentials"
  crossref 2025-10-30T21:08:47Z 置信度 0.70
• Relevance of artificial intelligence, machine learning, and biomedical devices to healthcare quality and patient outcomes
  crossref Abhishek Kumar, Nasmin Jiwani, Ketan Gupta, Deepti Dwivedi 等 2024-11-08T03:40:51Z 置信度 0.70
• Multiscale simulation and machine learning facilitated design of two-dimensional nanomaterials-based tunnel field-effect transistors: A review
  Traditional transistors based on complementary metal–oxide–semiconductor and metal–oxide–semiconductor field-effect transistors are facing significant limitations as device scaling reaches the limits of Moore’s law. These limitations include increased leakage …
  crossref Chloe Isabella Tsang, Haihui Pu, Junhong Chen 2025-03-17T13:18:26Z 置信度 0.70
• Quantum Machine Learning Algorithms for Big Data Processing
  Quantum Machine Learning (QML) is a new discipline that unites artificial intelligence and quantum computing and can address computational problems of big data analysis. Traditional machine learning algorithms may be pushed to their limits in dealing with the …
  crossref Sarah L. Johnson 2025-04-19T06:41:21Z 置信度 0.70
• Machine Learning-Driven Extended Creativity for Reshaping Traditional Artistic Pieces
  crossref Chutisant Kerdvibulvech 2025-05-23T16:08:15Z 置信度 0.70
• Using Machine Learning Algorithm to Determine Food Expiration Status in Smart Refrigerators
  crossref Shadeeb Hossain 2025-09-08T17:38:33Z 置信度 0.70
• From Physics-Informed Machine Learning to Physics-Informed Machine Intelligence: Quo Vadimus?
  This talk reviews physics-informed neural networks and introduces networks that learn functionals and nonlinear operators for system identification. It discusses applications in digital twins, autonomy, and materials discovery, and introduces bio-inspired solu…
  crossref George Karniadakis 2025-10-20T12:52:21Z 置信度 0.70
• Review 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
• Case Studies: Machine Learning Approaches for Software Development Effort Estimation
  crossref Sarika Mustyala, Pravali Manchala, Manjubala Bisi 2025-05-23T03:58:27Z 置信度 0.70
• Decision letter for "Active learning meets metadynamics: Automated workflow for reactive machine learning interatomic potentials"
  crossref 2025-10-30T21:08:47Z 置信度 0.70
• Exploring Machine Learning and Deep Learning Techniques for Cardiovascular Disease Prediction: A Comprehensive Survey
  Cardiovascular diseases (CVD) [ 1] still are one of the leading causes of death worldwide and therefore an accurate, reproducible model is necessary to be developed.With the advent of machine learning (ML) and deep learning (DL), early detection and prediction…
  crossref Sathya A, Latha. M 2025-01-21T13:23:32Z 置信度 0.70
• Unitary Vision: Deep Learning with Information Decorrelation for Signal Reconstruction
  crossref Steven Tate, Randy Paffenroth 2026-04-07T19:54:58Z 置信度 0.70
• Frontiers of Artificial Intelligence and Machine Learning: From Deep Learning Architectures to Industry 5.0 Applications
  Abstract: Artificial intelligence and machine learning increasingly shape scientific discovery, economic production, and public governance, yet the field’s rapid scaling demands rigorous research design and accountable deployment. This manuscript offers an aca…
  crossref Murali Krishna Pasupuleti 2026-01-30T16:11:07Z 置信度 0.70
• TPDNet: A Tiny Pupil Detection Neural Network for Embedded Machine Learning Processor Arm Ethos-U55
  crossref Gernot Fiala, Zhenyu Ye, Christian Steger 2024-01-29T15:02:44Z 置信度 0.70
• Proceedings of the 2025 2nd International Conference on Modeling, Natural Language Processing and Machine Learning
  crossref 2025-10-08T09:32:17Z 置信度 0.70
• Drug Toxicity Prediction by Machine-Learning Approaches
  crossref Frank Y. Shih 2025-08-22T13:08:37Z 置信度 0.70
• Osteoporosis Prediction Model Using Machine Learning
  crossref Vishwam Modi, Aarchi Shah, Rajeev Kumar Gupta, Punit Gupta 2025-10-21T17:07:42Z 置信度 0.70
• Research Directions and Challenges in Bio-Inspired Algorithms for Machine Learning and Deep Learning Models in Healthcare
  crossref Mani Deepak Choudhry, M Sundarrajan, Akshya Jothi, Seifedine Kadry 2025-01-02T15:33:02Z 置信度 0.70
• Harnessing active learning with machine learning potentials to investigate deactivation mechanisms in transition metal-doped alumina catalysts
  crossref Anshuman Kumar 2025-04-04T09:09:54Z 置信度 0.70
• Clove (Syzygium aromaticum): Nature’s Tiny Powerhouse
  Medicinal plants have gained significant attention because of their health-promoting properties, affordability, accessibility, and few side effects. Among different herbs that have been studied for the preparation of several traditional remedies since antiquit…
  crossref 2026-03-17T20:13:26Z 置信度 0.70
• Wavelet Denoising and Transfer Learning Based Electromyography Machine Learning Model for Prosthetics Gestures Control
  crossref Anju Dwivedi, Madhvi Jangalwa 2025-07-01T15:42:45Z 置信度 0.70
• Plant Leaves Disease Detection and Classification: Insights from Machine Learning and Deep Learning Approaches - A Review
  crossref Grace Thabitha J, Ponnusamy R 2025-01-07T11:46:51Z 置信度 0.70
• Introduction
  crossref 2025-10-09T06:16:20Z 置信度 0.70
• IPMML 2025 Cover Page
  crossref 2026-03-03T20:49:35Z 置信度 0.70
• 8. Tiny Bubbles in the Ice
  crossref 2015-09-05T01:18:33Z 置信度 0.70
• ICMLCN 2025 List Reviewer Page
  crossref 2025-09-03T17:49:08Z 置信度 0.70
• Title page
  crossref 2025-04-05T14:57:29Z 置信度 0.70
• Extracting Robust Process Features with Time-Embedding N-Grams and Machine Learning Methods
  crossref Yiming Chen 2025-08-11T14:00:38Z 置信度 0.70
• Deep Learning
  crossref Kristina Šekrst 2025-10-29T15:41:31Z 置信度 0.70
• Title Page
  crossref 2026-07-02T19:42:14Z 置信度 0.70
• Hypothesis Complexity
  crossref Fengxiang He, Dacheng Tao 2025-02-01T15:16:17Z 置信度 0.70
• From failure to fusion: A survey on learning from bad machine learning models
  crossref M.Z. Naser 2025-03-12T21:14:28Z 置信度 0.70
• How Machine Learning is Enhancing Data-Driven Decisions in Healthcare
  crossref Elevane Dave 2025-01-28T22:58:30Z 置信度 0.70
• Preface
  crossref 2025-02-22T00:05:26Z 置信度 0.70
• Quantum Machine Learning: Core Principles, Challenges and Enablers
  QML combines quantum computing and machine learning to efficiently solve complex problems. This survey reviews QML's fundamentals, key models, and enabling technologies, focusing on data encoding, quantum algorithms, and the integration of large language model…
  crossref Navneet Singh, Shiva Raj Pokhrel 2025-11-12T01:18:09Z 置信度 0.70
• Review for "Machine Learning in Next-Generation AEM Fuel Cells: A Systematic Review"
  crossref 2026-02-07T21:09:45Z 置信度 0.70
• MLPRAE 2025 Cover Page
  crossref 2025-12-18T18:31:40Z 置信度 0.70
• Front Matter: Volume 13460
  crossref 2025-06-19T00:33:03Z 置信度 0.70
• Title Page I
  crossref 2025-03-07T18:33:22Z 置信度 0.70
• Title Page iii
  crossref 2025-07-23T18:33:43Z 置信度 0.70
• Author Index
  crossref 2026-03-03T20:49:35Z 置信度 0.70
• Table of Contents
  crossref 2025-07-23T18:33:43Z 置信度 0.70
• Message from the Program Chairs
  crossref 2025-05-22T17:50:30Z 置信度 0.70
• Deeper Understanding of Factors Influencing Parental School Choices Using Machine Learning Models
  crossref Cammie Justus-Smith 2025-08-11T14:00:38Z 置信度 0.70
• Unpacking Education Choice: Leveraging Machine Learning to Explore School and Homeschool Decisions
  crossref Cammie Justus-Smith 2025-08-11T14:00:38Z 置信度 0.70
• ICICML 2025 Cover Page
  crossref 2026-01-19T20:53:06Z 置信度 0.70
• Machine Learning and Deep Learning in Quantitative Finance
  crossref Fanqun Mo 2026-01-19T11:06:31Z 置信度 0.70
• SLmetrics: Machine Learning Performance Evaluation on Steroids
  crossref Serkan Korkmaz 2025-03-19T02:15:21Z 置信度 0.70
• Decision letter for "Active learning meets metadynamics: Automated workflow for reactive machine learning interatomic potentials"
  crossref 2025-10-30T21:08:47Z 置信度 0.70
• Ad Click Fraud Detection Using Machine Learning and Deep Learning Techniques
  crossref Sai Sasikanth Duvvuri, Dr. Ziaul Haque Choudhury 2025-12-19T19:31:52Z 置信度 0.70
• Review 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
• Algorithmic Stability
  crossref Fengxiang He, Dacheng Tao 2025-02-01T15:16:12Z 置信度 0.70
• AICDMB 2025 Author Index
  crossref 2025-12-12T18:33:34Z 置信度 0.70
• On the Conflict Between Robustness and Learning in Collaborative Machine Learning
  crossref Mathilde Raynal, Carmela Troncoso 2025-06-16T18:46:58Z 置信度 0.70
• Applications of machine learning and deep learning in medical diagnosis
  crossref Shailendra Chouhan, Hemant Khambete, Sanjay Jain 2025-01-18T21:46:57Z 置信度 0.70
• Table of Contents
  crossref 2025-08-07T17:41:45Z 置信度 0.70