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• Applied Machine Learning: Concepts and Techniques
  crossref 2025-12-08T05:30:12Z 置信度 0.70
• Privacy-Enhancing Technologies et machine learning
  This article examines the main privacy-enhancing technologies (PETs) applied to machine learning – anonymisation, pseudonymisation, differential privacy, federated learning, and homomorphic encryption – and assesses their impact on data protection. By combinin…
  crossref Iago Baumann 2025-06-25T14:13:36Z 置信度 0.70
• INTRUSION DETECTION OF NOVEL POLYMORPHIC CREDENTIAL SPRAYING ATTACKS BY MACHINE LEARNING APPLICATIONS IN CYBER SECURITY
  crossref 2025-06-14T12:25:44Z 置信度 0.70
• Applying Deep Learning to Classify Massive Amounts of Text Using Convolutional Neural Systems
  Supervised learning based on deep learning is often used for mass-scale picture categorization. However, it takes a lot of computing effort and energy to retrain these vast networks to accept new, unknown data. When retraining, it is possible that training sam…
  crossref Shubhansh Bansal 2025-02-12T11:53:51Z 置信度 0.70
• LEVERAGING AI TO REDUCE TECHNICAL DEBT
  Technical Debt is one of the biggest issues hindering the digital transformation of organizations. Cost of addressing debt has been rising. AI powered tools can overcome problems of traditional tools as they continuously learn and adapt new patterns. They can …
  crossref Vijay Pahuja, Vishal Padh 2025-08-28T12:20:21Z 置信度 0.70
• Bimodal Biometric Human Recognition System Using Deep Learning Algorithm
  crossref J. Vasavi, P. Chidambaranathan 2025-04-25T13:38:13Z 置信度 0.70
• A Comparative Review of Deep Learning Models for Deepfake Detection
  crossref Rémi Cogranne 2025-09-16T17:32:27Z 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
• Machine Learning Models for Predicting Carcinogenesis Pathways Using Genomic and Environmental Data
  crossref 2025-09-12T12:53:34Z 置信度 0.70
• Semiconductor Wafer Map Defect Classification with Tiny Vision Transformers
  Semiconductor wafer defect classification is critical for ensuring high precision and yield in manufacturing. Traditional CNN-based models often struggle with class imbalances and recognition of the multiple overlapping defect types in wafer maps. To address t…
  crossref Faisal Mohammad, Duksan Ryu 2025-03-24T16:54:27Z 置信度 0.70
• Advanced Machine Learning for Automated Stratigraphic Interpretation: Integrating Novel Metrics and Deep Learning for Enhanced Reservoir Characterization
  Abstract Stratigraphic interpretation is a critical yet time-consuming task in reservoir characterization, traditionally reliant on manual expertise. This study presents an innovative machine learning workflow for automated stratigraphic interpretation, combin…
  crossref Anfisa Lipko, Hajar Alhowaish, Mokhles Mezghani 2025-11-05T23:29:52Z 置信度 0.70
• Technical Program Committee
  crossref 2025-07-23T18:33:43Z 置信度 0.70
• Artificial intelligence and machine learning in finance: Addressing complex problems and ESG applications
  The advancement of artificial intelligence (AI) and machine learning (ML) has substantially influenced multiple sectors, with the finance sector undergoing a particularly notable transformation. AI refers to computational systems designed to perform tasks typi…
  crossref Annalisa Ferrari 2025-06-26T07:26:21Z 置信度 0.70
• Bio-Inspired Algorithms-based Machine Learning and Deep Learning Models for Covid-19 Diagnosis
  crossref S. Sheik Asraf, M. Subash, P. Nagaraj, V. Muneeswaran 等 2025-01-02T15:33:02Z 置信度 0.70
• Predict Customer Churn with Python and Machine Learning
  crossref Arnav Kumar, Ebad Zafar 2025-02-27T17:46:54Z 置信度 0.70
• Deconstructing Household Energy Use: A Machine Learning Approach
  crossref Aditya Ramanathan, Tristan Ballard 2025-07-03T04:37:17Z 置信度 0.70
• Machine Learning Approach to Shield Optimization at Muon Collider
  Muon collisions are considered a promising mean for exploring the energy frontier, leading to a detailed study of the possible feasibility issues. Beam intensities of the order of 1012 muons per bunch are needed to achieve the necessary luminosity, generating …
  crossref Luca Castelli 2025-01-31T12:07:07Z 置信度 0.70
• Predictability and Complexity Dynamics in High-Frequency Financial Machine Learning
  crossref Matthias Buchta 2025-04-29T09:48:33Z 置信度 0.70
• AI and Machine Learning
  crossref Shameem Farouk, Aeron Zentner 2025-01-23T10:43:16Z 置信度 0.70
• Review: Modelling suspended sediment concentration in coastal Ireland using machine learning — R0/PR3
  crossref 2025-11-26T08:04:36Z 置信度 0.70
• Using Machine Learning to Increase the Dependability of Predictive Maintenance
  The purpose of this paper is to examine reliability as it pertains to predictive maintenance (PdM), specifically looking at how ML integration can improve performance. The four pillars of dependability, availability, safety, maintainability, and reliability, f…
  crossref Oghenemaiga Elebe 2025-08-25T15:12:19Z 置信度 0.70
• Predicting LET results for mathematics teachers using machine learning 
  In the Philippines, passing the Licensure Examination for Teachers (LET) is the first step toward becoming a professional teacher and a crucial evaluation tool for assessing the quality of teacher education programs in Higher Education Institutions (HEIs). The…
  crossref Arturo Jr Patungan 2025-08-12T10:49:40Z 置信度 0.70
• Smart Phishing Detection via URL Characteristics: Machine Learning and Deep Learning Techniques
  crossref Ozan Duru 2025-10-30T17:57:40Z 置信度 0.70
• Real-World Applications of Supervised Learning
  crossref Ricky Leung 2025-11-10T19:26:53Z 置信度 0.70
• Meta-learning for cyber-attack detection in IoT networks
  crossref Rafael Kaliski 2025-06-02T07:56:13Z 置信度 0.70
• Bridging Auscultation and Tiny Machine Learning: A Digital Stethoscope Leveraging Convolutional Neural Networks on an Embedded Device for Organ Sound Analysis
  crossref Eray Mutlu, Valid Hüseyin, Görkem Serbes 2024-11-15T10:03:30Z 置信度 0.70
• Improved Exoplanet Detection Through Data Augmentation and Machine Learning
  crossref Hiti Bansal 2025-11-14T20:59:25Z 置信度 0.70
• ICICML 2025 Copyright Page
  crossref 2026-01-19T20:53:06Z 置信度 0.70
• Preface
  crossref 2025-02-12T11:53:51Z 置信度 0.70
• Using Machine Learning to Advance High School Dropout Prediction and Prevention (Poster 1)
  crossref Anika Alam 2025-08-11T14:00:38Z 置信度 0.70
• Foreword
  crossref Ivan I. Shevchenko 2024-11-22T05:27:53Z 置信度 0.70
• Feature Optimization
  crossref 2025-03-30T22:13:40Z 置信度 0.70
• Table of Contents
  crossref 2025-09-17T17:29:48Z 置信度 0.70
• Machine Learning-Based Detection and Comparative Analysis of Fake News in Turkish and English
  crossref Osman Baran Ayaydın, Tuna Orhan, Ahmet Alp Orakçı, Selin Sağdıç 等 2025-09-16T17:32:27Z 置信度 0.70
• Gold Price Trend Prediction from Candlestick Chart Images Using Multi-Time Frame Analysis and Machine Learning
  crossref Seyed Mojtaba Naghibzadeh, Mohammad Hassanzadeh, Majid Ahmadi, George P. Pappas 2026-03-25T19:53:58Z 置信度 0.70
• Advancing Data Privacy in REST APIs: A Comparative Study of Machine Learning Techniques for PII Detection
  crossref Akbar Sahata Sakapertana, Wan Muhafidz Faldi, Andi Mahardika, Ary Mazharuddin Shiddiqi 2025-07-22T18:00:49Z 置信度 0.70
• Evaluating machine learning models for precision disease prediction
  crossref Pallabi Patowary, Dhruba K Bhattacharyya 2025-07-04T10:42:08Z 置信度 0.70
• A Theoretical Analysis of Machine Learning and Deep Learning Frameworks for Representation Learning
  With the world of current artificial intelligence (AI) that keeps changing very fast these days came the advent of a novel paradigm that is currently making very swift center stage also referred to as representation learning. Both the new Deep Learning (DL) mo…
  crossref Satveer Kaur 2025-10-15T12:23:36Z 置信度 0.70
• Learning Geodesics of Geometric Shape Deformations From Images
  This paper presents a novel method, named geodesic deformable networks (GDN), that for the first time enables the learning of geodesic flows of deformation fields derived from images. In particular, the capability of our proposed GDN being able to predict geod…
  crossref Nian Wu, Miaomiao Zhang 2025-12-07T21:27:12Z 置信度 0.70
• FSO and 5G/6G Convergence with Machine Learning: Revolutionized Communication Network
  crossref Pradeep Kumar, Ruchi 2025-02-24T15:13:32Z 置信度 0.70
• Machine Learning-Based Detection and Management of Cardiovascular Diseases
  crossref Rishabha Malviya, Niranjan Kaushik, Tamanna Rai, M. P. Saraswathy 等 2025-05-19T13:11:07Z 置信度 0.70
• Machine-Learning Models for Handling Data-Missingness in Educational Research: A Comprehensive Review
  crossref Comfort Omonkhodion 2025-08-11T14:00:38Z 置信度 0.70
• Machine Learning in Research and Practice: A Multidisciplinary Perspective
  This book presents a multidisciplinary exploration of machine learning techniques, frameworks, and applications across diverse real-world domains. Beginning with foundational concepts of supervised, unsupervised, and reinforcement learning, the chapters progre…
  crossref 2025-09-11T12:10:26Z 置信度 0.70
• UNMASKING CYBER THREATS - LEVERAGING MACHINE LEARNING TO DETECT PHISHING WEBSITES
  crossref 2025-03-04T09:13:07Z 置信度 0.70
• Fingerprinting Deep Learning Models via Network Traffic Patterns in Federated Learning
  crossref Md Nahid Hasan Shuvo, Moinul Hossain 2025-06-26T17:59:47Z 置信度 0.70
• Improving ICS security through Honeynets and Machine Learning techniques
  Abstract The internet of things(IoT), the Industrial Internet of Things (IIoT), and Cyber-Physical Systems (CPS) can be seen everywhere, Home applications, Buildings, Cars, Space Industry, Military, Health Care, and in many other fields. On the other hand, the…
  crossref Obieda Ananbeh 2025-08-15T18:28:50Z 置信度 0.70
• Anomaly Detection in Aircraft Trajectories using Machine Learning
  The aviation industry is rapidly embracing data-driven techniques to enhance safety, efficiency, and situational awareness. Anomaly detection in aircraft trajectories plays a crucial role in identifying irregular flight patterns that may indicate safety risks,…
  crossref Karanam Keerthana, Nandimandalam Varneeth Varma 2025-08-11T18:22:51Z 置信度 0.70
• Review for "Point+Gaussian Charge Model for Electrostatic Interactions Derived by Machine Learning"
  crossref 2025-06-13T17:05:52Z 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
• AkiNet: A Physics‐Informed AI for Wave Extraction From Noise
  Abstract High‐resolution seismic models of the Earth's lithosphere are critical for understanding its structure and evolution, yet current global models lack the details that can be provided by ambient noise data. A primary bottleneck is reliably extracting ph…
  crossref Siyu Xue, Tolulope Olugboji 2025-11-30T05:47:45Z 置信度 0.70
• Review for "Same data, different results? Machine learning approaches in bioacoustics"
  crossref 2025-09-30T23:58:17Z 置信度 0.70
• Copyright
  crossref 2025-02-21T09:39:21Z 置信度 0.70
• Table of Contents
  crossref 2025-03-07T18:33:22Z 置信度 0.70
• An Industry-Ready Machine Learning Ontology
  This article presents an industry-ready ontology for the machine learning domain, which is named “ML Ontology”. ML ontology is comprehensive, provides good performance and is extensible and adaptable. While based on lightweight modelling languages, ML ontology…
  crossref Bernhard G Humm 2025-11-19T07:03:08Z 置信度 0.70
• Prediction And Analysis on Demand and Supply Using Machine Learning
  <p>This study investigates the prediction and analysis of demand and supply dynamics for titanium-based products at Kerala Minerals and Metals Ltd. (KMML), India’s leading titanium dioxide producer. The research addresses persistent challenges of demand–…
  crossref Nirmal Aloysius 2025-10-08T13:07:36Z 置信度 0.70
• Transforming Cloud Migration with Machine Learning and AI
  It examines the literature deeply with regard to the use of AI and ML in cloud migration processes. This article mainly discusses the following topics about predictive analytics in risk management, improved allocation of resources, and automated assessment of …
  crossref Chitti Babu, Mallikarjun Gannavaram 2025-02-07T08:50:49Z 置信度 0.70
• Residual Permutation Tests for Feature Importance in Machine Learning
  Psychological research has traditionally relied on linear models to test scientifichypotheses. However, the emergence of machine learning (ML) algorithms has opened new opportunities for exploring variable relationships beyond linear constraints. To interpret …
  crossref Po-Hsien Huang 2025-03-13T19:36:23Z 置信度 0.70
• Explainable Deep Learning for Skin Lesion Classification Using EfficientNet-B3 and ConvNeXt-Tiny Across Multiple Dermoscopic
  crossref Bhagyashri S. Sonune, R.Uday Kumar, D.P.Tulaskar, Shon G. Nemane 等 2026-07-16T21:48:24Z 置信度 0.70
• CFU Playground: Full-Stack Open-Source Framework for Tiny Machine Learning (TinyML) Acceleration on FPGAs
  crossref Shvetank Prakash, Tim Callahan, Joseph Bushagour, Colby Banbury 等 2023-06-24T01:10:00Z 置信度 0.70
• Conclusion
  crossref Dennis Tay 2026-08-17T10:45:31Z 置信度 0.70
• Review for "Supply Chain Optimisation Using Physics-Informed Machine Learning for Digital Product Passport"
  crossref 2026-07-10T21:09:02Z 置信度 0.70
• IoT security through machine learning and AI
  crossref Priyanka Ghosh, Bidyutmala Saha, Sayan Nath 2025-12-05T20:27:22Z 置信度 0.70
• Gaussian Discriminant Analysis: From Circles to Ellipses
  crossref Weisheng Jiang 2026-07-31T10:55:03Z 置信度 0.70
• Get the image: Machine learning for MR image reconstruction
  crossref Shanshan Wang, Ruoyou Wu, Reinhard Heckel, Mathews Jacob 等 2025-12-22T14:06:00Z 置信度 0.70
• Machine Learning - Based Diabetes Risk Detection and Diet Suggestion System
  crossref Arockia Raj Y, Srinithi R, Yazhini R, Sharmila A 等 2026-05-22T19:33:52Z 置信度 0.70
• Review for "Machine learning for smell: Ordinal odor strength prediction of molecular perfumery components"
  crossref 2026-05-14T21:11:34Z 置信度 0.70
• Challenges, Limitations, and Recommendations for Effective Use of Machine Learning in Fluid Flows
  crossref Tayeb Brahimi, Mohammed Fathy El-Amin 2026-03-06T14:09:53Z 置信度 0.70
• Predictive Failure Detection in Healthcare Integration Middleware Using Hybrid Ensemble Time-Series Machine Learning
  Healthcare integration engines process millions of clinical messages daily, yet operational failures including queue saturation, memory exhaustion, thread starvation, and connection pool depletion are detected only after disrupting clinical workflows. This pap…
  crossref Sindhukumar Sundaram 2026-04-24T05:44:38Z 置信度 0.70
• Local-Global Learning of Interpretable Control Polices: The Interface between MPC and Reinforcement Learning
  Optimal decision-making under uncertainty is a shared challenge across modern chemical, manufacturing, and energy systems that increasingly demand safe, data-driven autonomy. This talk revisits optimal control through the lens of the Bellman equation, emphasiz…
  crossref Ali Mesbah 2026-07-13T13:28:36Z 置信度 0.70
• Machine Learning and Hardware Security: The Role of AI for Hardware in the Security Era
  crossref Shuwen Deng, Yunpeng Xu, Muyang Li, Yu Jin 等 2026-05-22T11:11:01Z 置信度 0.70
• Learning Style Prediction Using Artificial Neural Networks and Random Tree
  Learners, comprising students, learn in distinct ways. Machine learning-based recognition of the learner’s style can inspire and advance academic performance. This study investigates the application of machine learning (ML) to recognize learners’ VARK learning…
  crossref Fawaz Alanaz 2026-07-01T10:00:04Z 置信度 0.70
• Applied Machine Learning for Financial Systems: Prediction, Anomaly Detection, and Explainability
  Financial systems generate vast amounts of transactional and market data, creating both opportunities and challenges for machine learning applications. This summary presents two applied research projects exploring machine learning in financial contexts: (1) a …
  crossref Muhammad Faisal 2026-08-10T05:31:28Z 置信度 0.70
• Machine Learning for Predicting Market Volatility: A Computational Economics Approach
  Abstract Predicting marketvolatility isa key financialeconomics challenge thataffects investment plans, risk management, and policy choices. Conventional econometric models like GARCH and stochastic volatility models cannot adequately reflect the rich, nonline…
  crossref Vasundhara S 2026-08-25T08:50:07Z 置信度 0.70
• Double debiased machine learning nonparametric inference with continuous treatments
  crossref Kyle Colangelo, Ying-Ying Lee 2019-12-17T06:36:26Z 置信度 0.70
• Hybrid Machine-Learning Framework for Slant Wet Delay Modeling
  Tropospheric wet delay remains a key error source for space geodesy, including GNSS, VLBI, and InSAR. Empirical models such as GPT3 are widely used, yet they rely on simplified parameterizations and fixed coefficient tables that limit modeling capacity. Freque…
  crossref Zhenyi Zhang, Benedikt Soja 2026-03-13T20:22:36Z 置信度 0.70
• Refreshed (Top Professional-Machine-Learning-Engineer Dumps) Exam Questions - For Perfect Results
  crossref Jame davis 2026-02-25T10:44:26Z 置信度 0.70
• Logistic Regression
  crossref Yinglin Xia, Jun Sun 2026-01-17T03:25:26Z 置信度 0.70
• Review for "Scaling Quantum Machine Learning without Tricks: Full-Resolution and Diverse Image Generation"
  crossref 2026-06-17T22:57:36Z 置信度 0.70
• Shaping Tiny Futures - Exploring Plagiocephaly Prevention in a Level IV NICU
  crossref Alejandra Lozano Lozano, Mia Charles, Mimi Ngo 2026-02-02T16:13:26Z 置信度 0.70
• A Machine Learning–Driven Health Risk Index for Predicting Chronic Disease Burden
  The rising global burden of chronic diseases necessitates proactive, data-driven approaches for early risk identification and intervention. This study proposes a Machine Learning–Driven Health Risk Index (ML-HRI) designed to predict individual susceptibility t…
  crossref Ved Sharma 2026-04-08T13:05:17Z 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
• Effect of the Initial Condition on SCG Clustering Using Unsupervised Machine Learning
  crossref Sherif A. Farahat, Richard H. Sandler, Hansen A. Mansy 2026-08-01T22:48:05Z 置信度 0.70
• Machine Learning based Classification of Crop Leaf Diseases Using ResNet CNN
  In this research, we propose a machine learning-based method for classifying crop leaf diseases using ResNet CNN. With the growing challenges of crop diseases in Bangladesh, early and accurate detection is crucial for improving crop health and reducing losses.…
  crossref Somaia Akter 2026-07-29T13:15:17Z 置信度 0.70
• Employing Machine Learning Force Fields to Accelerate Non-equilibrium DMFT Simulations
  Dynamical mean-field theory (DMFT) is a powerful method for studying strongly correlated electron systems, but its application to non-equilibrium phenomena-such as pump-probe spectroscopy or light-induced phase transitions-remains computationally prohibitive. …
  crossref Elizabeth Crooner 2026-07-29T15:15:36Z 置信度 0.70
• Machine Learning Approaches for Early Detection of Reconnaissance Activities in Enterprise Networks
  Reconnaissance activities are often the earliest indicators of a cyberattack within enterprise networks. Attackers commonly perform network scanning, service enumeration, and information-gathering operations before launching exploitation or lateral movement at…
  crossref Muhammad Sani 2026-06-09T13:20:08Z 置信度 0.70
• Review for "Machine-learning-guided understanding of defect accommodation in spin-gapless semiconductor Mn2CoAl"
  crossref 2026-07-15T21:10:27Z 置信度 0.70
• Anomaly Detection in Electrical Power Distribution Systems Using Machine Learning Techniques
  This report presents the development and application of a machine learning-based algorithm for diagnostic analysis in Electrical Power Distribution Systems (EPDS). The study focuses on the EPDS at BITS Pilani K K Birla Goa Campus. Data collected from the Energ…
  crossref Aditya Joshi 2026-04-20T15:28:40Z 置信度 0.70
• Geochemistry π: Machine Learning for Geochemists Who Don’t Want to Code
  Geochemistry π is an open-source automated machine learning Python framework. Geochemists need only provide tabulated data (e.g. excel spreadsheet) and select the desired options to clean data and run machine learning algorithms. The process operates in a ques…
  crossref J.Zhou ZhangZhou 2026-03-13T21:26:36Z 置信度 0.70
• Leveling up upconverting nanoparticles with machine learning
  crossref Ripeng Luo, Jungmin Hamm, Emory M Chan 2026-03-25T07:11:36Z 置信度 0.70
• Review for "Machine Learning Aided Design of Reversible MXene Electrocatalysts for Li-Air Batteries"
  crossref 2026-03-24T21:14:44Z 置信度 0.70
• Significance of Machine Learning in Understanding Earth’s Magnetosphere and Solar Activity
  crossref Manjuleshwar Panda, Yogesh Chandra, Deepak Pandey 2026-01-12T08:29:56Z 置信度 0.70
• THE FUTURE OF AQUACULTURE: INTEGRATING ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING FOR SUSTAINABLE PRODUCTIVITY
  Aim: The study aimed to evaluate the potential of Artificial Intelligence (AI) and Machine Learning (ML) in improving aquaculture production systems through enhanced monitoring, automation, and data-driven decision-making. Methods: The study was conducted thro…
  crossref Chatterjee Arnab 2026-03-16T16:05:26Z 置信度 0.70
• Double Machine Learning for Causal Inference on High-Dimensional Data: A Flexible and Robust Approach to Causal Estimation
  crossref Yunsong Chen, Zhuo Chen, Wen Ma, Guodong Ju 2026-03-12T07:17:10Z 置信度 0.70
• Ensemble Driven Insight Benchmarking Classical and Ensemble Machine Learning Models for Multi Aspect Misinformation Classification
  crossref Usman Mustafa, Muhammad Abdullah Butt, Syed Hazik Abbas Jaffri, Abdullah Hassan 等 2026-05-21T19:40:47Z 置信度 0.70
• Deep Learning-Based AI Framework for Automated Medical Diagnosis
  The rapid adoption of artificial intelligence (AI) in healthcare has opened new avenues for automated medical diagnosis, offering the potential to significantly improve clinical decision-making, diagnostic accuracy, and early disease detection. With the increa…
  crossref Vishal Khanna 2026-06-11T07:50:51Z 置信度 0.70
• A Comparative Analysis of Music Genre Classification via Tree-based Ensemble Learning Algorithms
  crossref Chenghao Xu 2026-03-31T19:49:32Z 置信度 0.70
• Adaptive ship target recognition method based on deep learning
  crossref Rongxin Liu, Fan Yu, Chuanyang Ge 2026-03-31T19:49:32Z 置信度 0.70
• Acoustic Respiratory Analysis for the Screening of Chronic Obstructive Pulmonary Disease using Machine Learning Techniques
  crossref J. Amose, P. Manimegalai, C. Ram Kumar, R. Anandan 2026-07-30T13:08:46Z 置信度 0.70
• Machine Learning Techniques for Signal Processing
  crossref Rohit M. Thanki, Komal R. Borisagar, Anjali Diwan 2025-08-12T04:57:38Z 置信度 0.70
• Federated learning-enhanced digital twin for intelligent warehouse management and demand forecasting
  crossref Yuqi Fu 2026-08-14T14:55:36Z 置信度 0.70