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• Working face status detection in coal mine based on YOLOv8-EST.
  europepmc 2026 置信度 0.80
• Mathematical Modelling and Intuition in Microbiology: A Perspective.
  europepmc 2026 置信度 0.80
• YOLO-AMI: enhancing online quality monitoring in 3D printing with composite loss and parameter-free attention.
  europepmc 2026 置信度 0.80
• Deep learning-driven automatic counting of petal number in cut chrysanthemum inflorescence.
  europepmc 2026 置信度 0.80
• SCUD - Smart Culinary Utility Device: Leveraging edge AI for battery optimization and operation cycles.
  europepmc 2026 置信度 0.80
• Computational intelligence-based investigation of heat transfer enhancement and entropy optimization in tri-hybrid nanofluid flow over a paraboloid needle.
  europepmc 2026 置信度 0.80
• CF-DETR: a robust transformer-based framework for small-scale chili flower detection in industrial chili production systems.
  Chili pepper (Capsicum spp.) is a high-value industrial horticultural crop widely utilized in food processing, pharmaceuticals, and natural pigment production. Accurate monitoring of flowering is critical for yield formation, pollination management, and early-…
  europepmc 2026 置信度 0.80
• AI-Assisted Vision Alarming System for Blind and Vision- Impaired People.
  europepmc 2026 置信度 0.80
• Segmentation and diagnosis of anterior cruciate ligament tear using deep learning and radiomics based on knee CT.
  europepmc 2026 置信度 0.80
• LiteFeatNet: A parameter-efficient and performance-centric deep learning model for multi-ocular disease identification using intermediate feature reduction from fundus images.
  europepmc 2026 置信度 0.80
• Dataset of RGB images of healthy grapevine leaves and with downy mildew, powdery mildew, Esca complex, and erineum mite symptoms.
  This dataset consists of a collection of high-resolution RGB images of grapevine leaves, designed to support research in plant pathology, precision viticulture, and computer vision. The images were collected in situ from experimental and commercial vineyards i…
  europepmc 2026 置信度 0.80
• Preparation, Properties and Application Research of PVA/ANF/NaCl Composite Organic Hydrogel.
  europepmc 2026 置信度 0.80
• A CT-based deep learning approach to differentiate multiple primary lung cancers, metastases, and benign nodules.
  europepmc 2026 置信度 0.80
• Personalized prediction of post-SMILE refractive outcomes using a machine-learning nomogram.
  europepmc 2026 置信度 0.80
• Three Myths about Federal Regulation
  preprints 2021 置信度 0.74
• Characterising COVID-19 as a Viral Clotting Fever: A Mixed Methods Scoping Review
  preprints 2020 置信度 0.74
• A Comparative Analysis of Machine Learning (ML) and Deep Learning (ML) Models for Epileptic Seizure Detection from electroencephalogram (EEG) Signals
  crossref Nirav Narendrakumar Modh, Jarnail Singh, Rupinder Singh, Sachin Kumar 等 2026-06-08T19:49:34Z 置信度 0.70
• Tiny Belly, Big Problem: Imaging Approach to Neonatal Bowel Obstruction
  crossref Rūta 2026-07-15T10:17:26Z 置信度 0.70
• K-Means Clustering: Chasing the Centroids
  crossref Weisheng Jiang 2026-07-31T10:55:03Z 置信度 0.70
• Inference in Statistical Modelling and Machine Learning
  Statistical modelling and machine learning offer a vast toolbox of inference methods with which to model the world, discover patterns and reach beyond the data to make predictions when the truth is not certain. This concise book provides a clear introduction t…
  crossref James Burridge, Nick Tosh 2026-05-22T00:05:38Z 置信度 0.70
• Forecasting Customer Complaints in the Mobile Telecommunication Sector Using Supervised Machine Learning
  crossref Hussein Ibrahim 2026-07-22T14:13:06Z 置信度 0.70
• Tiny trackers reveal where migratory shorebirds need protection across Africa
  crossref Ryan Truscott 2026-07-20T19:01:32Z 置信度 0.70
• Title Page
  crossref 2026-02-12T14:25:02Z 置信度 0.70
• Sleep Disorder Diagnosis via Machine Learning
  crossref Deepkumar Patel, Sanket Shah 2026-04-30T19:45:47Z 置信度 0.70
• Verifying Machine Learning Testability Requirements with Provenance
  crossref Lynn Vonderhaar, Tyler Procko, Omar Ochoa 2026-07-20T05:13:13Z 置信度 0.70
• Next-Generation Cloud Security: A Bibliometric and Technical Analysis of Machine Learning and Deep Learning Approaches
  crossref Natasha Saini 2026-08-13T19:15:26Z 置信度 0.70
• Philosophy-informed machine learning
  crossref M.Z. Naser 2025-12-12T08:01:13Z 置信度 0.70
• Reinforcement Learning in Practice
  crossref Martin Hander 2026-07-30T12:44:57Z 置信度 0.70
• Mission and Phase Feature Learning for eVTOL Li-ion Battery,Prognostics with Machine Learning Algorithms
  Electric vertical take-off and landing (eVTOL) aircraft missions impose phase-structured, high C-rate duty cycles that challenge conventional battery health estimation. We present a mission-phase aware prognosis method that jointly estimates state of charge (S…
  crossref SU Yan, Musa Wiston 2026-02-18T23:38:56Z 置信度 0.70
• TINY BUBBLES IN THE ICE
  crossref 2018-05-06T12:13:37Z 置信度 0.70
• Proceedings
  crossref 2026-08-24T19:19:55Z 置信度 0.70
• Restricted Boltzmann Machine and Deep Belief Network
  crossref Vinod Kumar Khanna 2026-02-06T23:10:06Z 置信度 0.70
• Tiny Fingers, Tiny Toes
  Preterm birth is defined as birth prior to 37 weeks of gestation. Preterm birth can have a significant impact on the infant’s survival and neurodevelopmental outcomes. Extremely preterm infants have the highest risk for mortality and severe disabilities. Medic…
  crossref Lindsay B. Ragsdale 2020-04-29T08:11:12Z 置信度 0.70
• Machine Learning and Deep Learning in Agriculture: A PRISMA Systematic Review of Architectures, Applications, and Open Science Practices (2019–2026)
  Agriculture faces compounding pressures from food insecurity, climate change, and resource scarcity, creating urgent demand for scalable analytical tools. This PRISMA 2020-compliant systematic review synthesises 582 peer-reviewed studies on machine learning (M…
  crossref Azad Rasul 2026-04-10T07:54:29Z 置信度 0.70
• Artificial Intelligence in Traditional Chinese Medicine: Machine Learning and Deep Learning Applications for Modern Healthcare
  Traditional Chinese Medicine (TCM) has been practised for thousands of years and remains an important component of global healthcare systems. Its therapeutic approach is fundamentally different from modern Western medicine, relying on multi-component herbal fo…
  crossref Sachin Kumar Sahu Sahu 2026-05-07T14:52:55Z 置信度 0.70
• Machine Learning in Network Optimization
  crossref Rohit M. Thanki, Komal R. Borisagar, Anjali Diwan 2025-08-12T04:57:43Z 置信度 0.70
• Online Transaction Fraud Detection Using Machine Learning
  crossref Aditya Sunil Raje, Ayesha Siddiqui 2026-05-12T05:46:46Z 置信度 0.70
• Machine Learning in Virtual Screening of Databases
  Machine learning (ML) has become a transformative tool in virtual screening (VS), enabling scalable exploration of large chemical libraries and effective prioritization of bioactive compounds. This chapter reviews current methodologies and tools that integrate…
  crossref Khac-Minh Thai, Linh Thi-Thuy Tran, Quang-Minh Mai, Hien Minh Nguyen 等 2026-07-22T08:41:26Z 置信度 0.70
• Review and Synthesis of the Applications of Machine Learning to Coalbed Methane Recovery
  Over the last 30 years, a substantial literature has evolved on the use of machine learning (ML) to assess, predict, and improve the efficiency of coalbed methane (CBM) recovery. In the United States, the production of CBM declined as shale gas production matu…
  crossref Emil D. Attanasi, Timothy C. Coburn, Philip A. Freeman 2025-12-04T14:08:42Z 置信度 0.70
• Machine learning basics for prediction and soft sensing
  crossref Yongxiang Lei, Hamid Reza Karimi 2026-08-14T16:25:06Z 置信度 0.70
• Typhoon multi-task prediction based on displacement residual learning
  crossref Zewen Ming, Jinyuan Liu 2026-08-14T14:55:41Z 置信度 0.70
• Applications of artificial intelligence technologies in water environments: From basic techniques to novel tiny machine learning systems
  crossref Majid Bagheri, Nakisa Farshforoush, Karim Bagheri, Ali Irani Shemirani 2023-09-30T16:42:00Z 置信度 0.70
• Adaptive Machine Learning–Driven Selective Encryption For Secure And Efficient Data Protection
  crossref Pranay Meshram, Prakash Prasad 2026-07-01T05:09:11Z 置信度 0.70
• Solar Energetic Particle Forecasting With Multi‐Task Deep Learning: SEPNET
  Abstract Solar energetic particle (SEP) events pose severe threats to spacecraft, astronaut safety, and aviation operations. Accurate SEP forecasting remains a critical challenge in space weather research as a result of their complex origins and highly variabl…
  crossref Yian Yu, Yang Chen, Lulu Zhao, Kathryn Whitman 等 2026-05-21T14:26:00Z 置信度 0.70
• Quantum Machine Learning
  crossref Iti Batra 2026-03-23T20:19:51Z 置信度 0.70
• Machine Learning-Driven Environmental Monitoring Systems in Air, Water, and Soil
  crossref Robert Birundu Onyancha, Kingsley Eghonghon Ukhurebor, Uyiosa Osagie Aigbe 2026-04-29T13:25:47Z 置信度 0.70
• Tiny Display
  crossref Simon Makin 2025-12-16T11:00:13Z 置信度 0.70
• Fake Reviews Detection: Evaluation of Machine Learning Methods for Text Classification in Tourism Context
  crossref Borislava Toleva, Svetlana Bialkova 2026-07-15T20:02:01Z 置信度 0.70
• Physics-Informed Machine Learning for Wind Forecasting using WRF
  crossref Amadej Krepek, Iztok Fister, Andrej Vilhar 2026-03-11T19:35:52Z 置信度 0.70
• Multicriteria Decision Support with Objective Weighting and Machine Learning: Proposition of the Comprehensive Distance-Based Ranking with Machine Learning Method
  Distance-based multicriteria decision methods such as the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) are widely adopted in engineering, yet two limitations constra…
  crossref Anderson Gonçalves Portella, Marcos Dos Santos, Carlos Francisco Simões Gomes 2026-06-15T18:44:41Z 置信度 0.70
• Neural Networks and Deep Learning
  crossref 2026-05-22T00:05:38Z 置信度 0.70
• A Leakage-aware Comparative Benchmark of Machine Learning, Deep Learning, and Transformer Models for Reliable Leukemia Detection
  Automated classification of acute lymphoblastic leukemia (ALL) from peripheral blood smear images has often reported near-perfect performance on the C-NMC 2019 dataset. We show that such results may be inflated by patient-level data leakage associated with ran…
  crossref Nisreen Albzour 2026-08-15T07:17:28Z 置信度 0.70
• Machine Learning and Deep Learning in Biomedical Engineering for Predicting Pain Responses in Rats under Cold Plasma
  This study presents a comprehensive review and methodological framework for predicting pain responses in rats under cold atmospheric plasma (CAP) exposure through the integration of machine learning (ML), deep learning (DL), biomedical engineering systems, and…
  crossref Ali Jenabi 2026-06-22T19:01:09Z 置信度 0.70
• Machine Learning as a Tool (MLAT) Machine Learning as a Tool (MLAT): A Framework for Integrating Statistical ML Models as Callable Tools within LLM Agent Workows
  We introduce Machine Learning as a Tool (MLAT), a design pattern in which pretrained statistical ML models are exposed as callable tools within LLM agent workows, enabling the orchestrating agent to invoke real-time predictions and reason about their outputs c…
  crossref Edwin Chen, Zulekha Bibi 2026-03-26T18:19:38Z 置信度 0.70
• SPQ-DETR for Tiny-UAV Detection]{SPQ-DETR: Prior-Guided Queries and Shape-Aware Geometric Supervision for Long-Range Tiny-UAV Detection
  Abstract Reliable micro-UAV detection is essential for low-altitude security but remains challenging in long-range scenes, where targets occupy only a few pixels and are often submerged in clutter. This paper proposes SPQ-DETR, a transformer-based detector for…
  crossref Guangshuo Zhang, Yunpeng Hu, Ying He, Teng Yu 2026-06-24T03:37:25Z 置信度 0.70
• Committees: IEEE BigDataService 2026
  crossref 2026-08-24T19:06:02Z 置信度 0.70
• From Alerts to Explanations: LLMs as an Interpretation Layer for Production Machine Learning Systems
  crossref Rohit Alekar 2026-07-01T03:48:11Z 置信度 0.70
• Network Intrusion Detection in VANETS Using Machine Learning: Securing VANETS with Machine Learning- Based NIDS Approach
  crossref I. Ravi Prakash Reddy, Akshaya Juluri, Sanjana Reddy, Pola Rishika 2026-01-02T03:08:37Z 置信度 0.70
• Research on Retrieval-Augmented Hindi-Chinese Document-Level Machine Translation for Multiple Domains
  crossref Xingfu Liu 2026-07-22T19:10:15Z 置信度 0.70
• Forecasting Health Insurance Sales: Evidence from Statistical, Machine Learning, and Deep Learning Models
  This study develops and evaluates a decision support framework that compares statistical, machine learning, and deep learning models for forecasting monthly health insurance sales. Classical approaches, including Holt–Winters and ARIMA-based models, are benchm…
  crossref Jorge Caiado, Ana Rodrigues de Jesus 2026-08-02T19:02:17Z 置信度 0.70
• Comparative Analysis of Machine Learning and Deep Learning Models for Apple (AAPL) Stock Price Prediction
  Abstract Stock market prediction remains a challenging task due to the inherent volatility, noise, and non-linear behavior of financial time-series data. This paper presents a comparative study of machine learning and deep learning approaches for predicting th…
  crossref Fatima Zulfiqar Ali 2026-04-29T07:28:33Z 置信度 0.70
• Rapid and High‐Accuracy Three‐Dimensional Airborne Transient Electromagnetic Forward Modeling Based on Machine Learning
  Abstract Conventional numerical methods for computing three‐dimensional (3D) airborne transient electromagnetic (ATEM) forward modeling suffer from low computational efficiency and high computational cost. Although deep learning techniques have achieved some p…
  crossref Xuben Wang, Shuang Wang, Peifan Jiang, Fei Deng 等 2026-04-29T14:36:56Z 置信度 0.70
• Machine learning Majorana topology using unsupervised and supervised learning
  crossref Anonymous 2026-08-25T14:39:43Z 置信度 0.70
• Machine-Learning-Based Subgrid Modelling for the Atmospheric Boundary Layer
  A proof-of-concept study of machine-learning-based subgrid modelling for large-eddy simulation (LES) is performed. An artificial neural network is trained for the prediction of residual stresses and scalar fluxes based on the filtered velocity and scalar field…
  crossref V. Fuka 2026-03-04T16:23:18Z 置信度 0.70
• Defense Strategies in Federated Learning Against Adversarial Attacks
  crossref Hadiseh Rezaei, Rahim Taheri, Ehsan Nowroozi 2026-01-21T14:48:30Z 置信度 0.70
• Basin‐Wide Atlantic Ocean Water Mass Classification and Climatic Variability From Machine Learning
  Abstract Identification of water masses in the Atlantic Ocean is key to understanding large‐scale circulation, transport, and mixing processes. However, traditional classification methods, such as Optimum Multi‐Parameter analysis (OMP), are often limited by re…
  crossref Joshua Lanham, Kaushik Srinivasan, Laura Cimoli, Ali Mashayek 2026-04-18T12:30:51Z 置信度 0.70
• 100Chapter 4 Unsupervised and Reinforcement Learning Algorithms
  crossref 2026-07-07T15:51:26Z 置信度 0.70
• A Tiny Pacemaker for a Tiny Baby: An Interdisciplinary Approach
  crossref T. Tirilomis, V. Gravenhorst, M. Knierim, R. Veron 等 2026-02-17T23:34:18Z 置信度 0.70
• Federated Learning and Data Privacy in Connected Healthcare Devices
  Federated learning has emerged as a transformative paradigm for secure and intelligent healthcare systems, enabling collaborative model training without centralized data aggregation. This book chapter explores the architectural foundations, privacy-preserving …
  crossref A Thanikasalam, S Bharathi, Amit Kumar Bhakta 2026-01-20T12:38:32Z 置信度 0.70
• Categorizing Characteristic Regions of High‐Latitude Scintillations Using a Combination of Isolation Forest and Neural Network Machine Learning Algorithms
  Abstract Global Positioning System (GPS) scintillations are radio signal fluctuations due to ionospheric structures or irregularities. In this work, we utilize scintillation data to identify the source region (auroral oval vs. polar cap) of a high latitude irr…
  crossref Chintan Thakrar, Nicolas Gachancipa, Kshitija Deshpande, Anna‐Marie Bals 等 2026-02-17T11:34:03Z 置信度 0.70
• Tiny Dynamite
  crossref Abi Morgan 2021-07-01T13:04:53Z 置信度 0.70
• Quantum-Inspired Machine Learning Representation for Periodic Materials
  Performance of the machine learning models for materials discovery critically depends on how atomic structures are represented. While many materials descriptors encode geometric and compositional information, representations that directly incorporate the featu…
  crossref Stiv Llenga, Alessandro Calzolari, Ganna Gryn'ova 2026-03-18T09:31:44Z 置信度 0.70
• Commodity Prices Volatility and Inflation in Ethiopia: Using Machine Learning Techniques
  crossref Tewodros Gutema 2026-01-21T10:32:08Z 置信度 0.70
• chapter ten Machine Learning and Generative AI
  crossref 2026-03-31T11:34:37Z 置信度 0.70
• iVision: a deep learning-based web solution for automated eye disease screening using enhanced tiny VGG
  crossref Srikanta Kumar Sahoo, Alakananda Tripathy, Saumendra Kumar Mohanty 2026-01-21T17:52:46Z 置信度 0.70
• Cardiotoxicity in Childhood Cancer Survivors: A Machine Learning-based Perspective
  crossref Trupti Thute, Shital Hajare 2026-03-31T19:49:17Z 置信度 0.70
• An Automated Approach for Severe Convective Rainfall Forecasting with Machine Learning
  crossref Yunjie Ma 2026-08-07T19:22:25Z 置信度 0.70
• TinyIDS - An IoT Intrusion Detection System by Tiny Machine Learning
  crossref Pietro Fusco, Gennaro Pio Rimoli, Massimo Ficco 2024-07-30T07:02:22Z 置信度 0.70
• Machine Learning-Integrated Physiology-Based Pharmacokinetic Modeling for Optimizing Nanoparticle Design
  crossref Joseph Cave, Carmine Schiavone, Zhihui Wang, Vittorio Cristini 等 2026-02-24T16:43:49Z 置信度 0.70
• Review for "Developing a Machine-Learning Interatomic Potential for Non-Covalent Interactions in Proteins"
  crossref 2026-06-08T15:13:01Z 置信度 0.70
• Analysing the Determinants of Graduate Unemployment in Tunisia Using Machine Learning
  This article analyses the determinants of youth graduate unemployment in Tunisia by combining classical econometric methods (logistic regression) with three machine learning algorithms (Random Forest, XGBoost, RBF-kernel SVM) applied to an original survey of 1…
  crossref Sami Mestiri 2026-05-06T12:03:17Z 置信度 0.70
• Do Market Regimes Improve Machine-Learning Stock Ranking?
  Can market regimes improve machine-learning stock selection and portfolio optimization? Using Bloomberg data for 206 large U.S. stocks from 2005 to 2025, we train an XGBoost model to rank stocks by predicted 20-day cross-sectional return percentiles. A monthly…
  crossref Carlos Pascual Miralles, Mesias Alfeus 2026-08-26T16:39:16Z 置信度 0.70
• Machine Learning for Advanced Battery Systems
  crossref 2026-08-31T08:43:07Z 置信度 0.70
• Frequency band dissociation between cognitive state recognition and person identification in EEG
  crossref Tanvir Hossain Ovi, Md. Mobashsherul Islam, Md. Altaf Uddin, Kambiz Ghazinour 等 2026-04-17T06:58:55Z 置信度 0.70
• Detecting Depression Among Social Media Users Using Machine Learning
  crossref Priyadharshini K V, Subha Sree C, Swathika Raksha S B, Thirisha N 2026-05-22T19:33:52Z 置信度 0.70
• Ethical Challenges of Artificial Intelligence-Based Pain Prediction in Animal Models Using Machine Learning and Deep Learning
  Artificial intelligence (AI), particularly machine learning (ML) and deep learning (DL), has emerged as a promising approach for improving pain assessment and prediction in laboratory animal models. Conventional pain evaluation methods often rely on behavioral…
  crossref Ali Jenabi 2026-07-20T09:28:33Z 置信度 0.70
• Aplicação de tiny machine learning na segmentação de feridas
  Feridas são lesões na pele que, se não tratadas adequadamente, podem causar grande sofrimento ao paciente. Durante o tratamento em instituições de saúde, é necessário acompanhar a evolução das lesões, identificando, por exemplo, o tamanho da ferida. Porém, mét…
  crossref João Bernardo Del Rio, Alan Silva da Paz Floriano, Daniela de Freitas Guilhermino Trindade, Ederson Marcos Sgarbi 等 2025-08-07T22:15:15Z 置信度 0.70
• Machine learning and deep learning–based imaging applications in pediatric denti
  crossref Mehmet Veysel KOTANLI 2026-06-17T16:45:10Z 置信度 0.70
• Deep Learning vs. Traditional Machine Learning for Software Defect Prediction: A Meta-Analysis
  crossref 2026-08-24T07:23:25Z 置信度 0.70
• Subject Index
  crossref Rupinder Singh, Satveer Kour, Harvinder Singh, Anupam Bonkra 2026-04-06T11:38:12Z 置信度 0.70
• Automatic pomegranate quality classification using machine learning and transfer learning
  crossref A. Kumari, J. Singh 2026-07-08T11:21:13Z 置信度 0.70
• Deep Learning-Enabled Radar Target Detection in Simulation and Exercise Environments
  crossref Yiheng Yang, Weinan Xiong 2026-03-31T19:49:32Z 置信度 0.70
• Introduction to Machine Learning in Nanoelectronics
  crossref Bandi Srinivasa Rao, Rangana Bhanu Meher Srinivas, Kenguva Sai Chandar Rao, Mandeep Singh 等 2026-03-08T14:57:25Z 置信度 0.70
• Fundamental Principles of Reservoir Computing
  crossref 2026-06-17T03:29:03Z 置信度 0.70
• Emergency Management and Drug Safety Monitoring in AYUSH Systems
  crossref 2026-06-15T05:23:10Z 置信度 0.70
• Machine Learning-gestützte Abflussvorhersagen in Abwassernetzen
  crossref Flemming Albers 2026-04-19T22:43:58Z 置信度 0.70
• Role of Physics, Chemistry, and Biology in Sustainable Development
  crossref 2026-06-15T05:23:10Z 置信度 0.70
• An Automated Approach for Detecting Road Surface Issues Using Deep Learning
  Road maintenance is crucial to facilitate safe and sustainable transportation systems. Conventional inspection methods, which are mainly based on human observations, are often slow and inefficient, however, particularly as expansion of urban environments conti…
  crossref Heba Fasihuddin 2026-05-20T11:14:36Z 置信度 0.70
• 131Chapter 6 Neural Networks and Deep Learning
  crossref 2026-07-07T15:51:26Z 置信度 0.70
• Review of: "Strong Machine Learning: a Way Towards Human-Level Intelligence"
  crossref Tulasi Ranganathan 2026-08-13T11:21:38Z 置信度 0.70