Evaluating patient participation in value‐based healthcare: Current state and lessons learned by Henrike J. Westerink, Mirjam M. Garvelink, Cornelia F. vanUden‐Kraan, Ouisam Zouitni, Hans A. J. Bart, Philip J. van derWees, Paul B. van derNat, the Santeon Patient Participation Study Group

“…We therefore evaluated the current state of patient participation in VI teams and share lessons learned. Methods This mixed‐methods study was conducted at seven collaborating hospitals in the Netherlands. …”
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Machine learning the Ising transition: A comparison between discriminative and generative approaches by Difei Zhang, Frank Schäfer, Julian Arnold

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Adjoint‐Based Online Learning of Two‐Layer Quasi‐Geostrophic Baroclinic Turbulence by F. E. Yan, H. Frezat, J. Le Sommer, J. Mak, K. Otness

Subjects: “…machine learning…”
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Robust confinement state classification with uncertainty quantification through ensembled data-driven methods by Yoeri Poels, Cristina Venturini, Alessandro Pau, Olivier Sauter, Vlado Menkovski, the TCV Team, the WPTE Team

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Statistical methods for dementia risk prediction and recommendations for future work: A systematic review by Jantje Goerdten, Iva Čukić, Samuel O. Danso, Isabelle Carrière, Graciela Muniz‐Terrera

“…We aim to review the used methodologies. Methods We systematically reviewed the literature from March 2014 to September 2018 for publications presenting a dementia risk prediction model. …”
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A Comprehensive Benchmarking Framework for Sentinel-2 Sharpening: Methods, Dataset, and Evaluation Metrics by Matteo Ciotola, Giuseppe Guarino, Antonio Mazza, Giovanni Poggi, Giuseppe Scarpa

“…It analyzes several state-of-the-art sharpening algorithms, selecting representative methods ranging from traditional pansharpening to <i>ad hoc</i> model-based optimization and deep learning approaches. …”
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Parking lot occupancy prediction using long short-term memory and statistical methods by Ercan Avşar, Yusuf Can Anar, Abdurrahman Özgür Polat

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Enhancing Software Effort Estimation in the Analogy-Based Approach Through the Combination of Regression Methods by Taghi Javdani Gandomani, Maedeh Dashti, Hazura Zulzalil, Abu Bakar Md Sultan

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A novel LLM time series forecasting method based on integer-decimal decomposition by Lei Wang, Keyao Dong, Xiaoyong Zhao

“…Inspired by advancements in natural language processing (NLP) and computer vision (CV), large language models (LLMs) have emerged as a promising method for time series forecasting. However, fundamental differences between time series data and textual data present challenges in adapting time series for LLM-based forecasting. …”
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Smart contract vulnerability detection method based on Bi-modal cross-attention mechanism by CHEN Jinfu, HU Xinyi, CAI Saihua, MIN Xirun

“…To address the problem that existing deep learning methods for smart contract vulnerability detection rely on single-modal feature extraction and insufficient contextual information capture, leading to relatively low detection accuracy, a smart contract vulnerability detection method based on the Bi-modal cross-attention mechanism was proposed. …”
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Trust Verification Method for Leveraging Secure Task Completion in Mobile Crowd Outsourcing Processes by Abdullah Alharthi

“…Mobile crowdsourcing (MCS) is an autonomous paradigm that integrates humans, technology, devices, and computing methods for cost-effective task completion. The tasks are outsourced from service providers, organizations, etc. for ease of completion. …”
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Research on Intrusion Detection Method Based on Transformer and CNN-BiLSTM in Internet of Things by Chunhui Zhang, Jian Li, Naile Wang, Dejun Zhang

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An Automatic Ear Temperature Monitoring Method for Group-Housed Pigs Adopting Infrared Thermography by Changzhen Zhang, Xiaoping Wu, Deqin Xiao, Xude Zhang, Xiaopeng Lei, Sicong Lin

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YOLOv8n-CSD: A Lightweight Detection Method for Nectarines in Complex Environments by Guohai Zhang, Xiaohui Yang, Danyang Lv, Yuqian Zhao, Peng Liu

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Encrypted traffic classification method based on parallel traffic graph and graph neural network by LIU Taotao, FU Yu, YU Yihan, AN Yishuai

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Study on Quantitative Evaluation Method of Balance Ability in Cancer Patients Based on Gait Features by Junjie LIU, Xu ZHOU, Chao YU, Qingqing CAO, Zhiming YAO, Wanqiu ZHANG, Ling ZHANG, Wanqing YAO, Ning LIN

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Hyperspectral Reconstruction Method Based on Global Gradient Information and Local Low-Rank Priors by Chipeng Cao, Jie Li, Pan Wang, Weiqiang Jin, Runrun Zou, Chun Qi

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Assessment Method for Feeding Intensity of Fish Schools Using MobileViT-CoordAtt by Shikun Liu, Xingguo Liu, Haisheng Zou

“…To address this issue, this study proposes a fish feeding intensity assessment method based on MobileViT-CoordAtt. The method employs a lightweight MobileViT backbone network, integrated with a Coordinate Attention (CoordAtt) mechanism and a multi-scale feature fusion strategy. …”
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A Detection Method for Sweet Potato Leaf Spot Disease and Leaf-Eating Pests by Kang Xu, Yan Hou, Wenbin Sun, Dongquan Chen, Danyang Lv, Jiejie Xing, Ranbing Yang

“…Traditional sweet potato disease and pest detection methods have the limitations of low efficiency, poor accuracy and manual dependence, while deep learning-based target detection can achieve an efficient and accurate detection. …”
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Spatial feature recognition and layout method based on improved CenterNet and LSTM frameworks by Yuxuan Gu, Fengyu Liu, Xiaodi Yi, Lewei Yang, Yunshu Wang

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