Developing an explainable machine learning and fog computing-based visual rating scale for the prediction of dementia progression by Zainab H. Ali, Esraa Hassan, Shimaa Elgamal, Nora El-Rashidy

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Machine learning-based prediction of five-year all-cause mortality in patients with mixed gastric cancer by Cong Wang, Hongwei Li, Hongye Yang, Yingwei Xue

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Deep multiscale feature fusion network with dual attention for rolling bearing remaining useful life prediction by Yingming Yang, Zhihai Wang, Xiaoqin Liu, Tao Liu, Zhuopeng Luo

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Artificial Neural Network-Based Prediction of Total Eccentricities in Existing Buildings Using Ambient Vibration Records by Farah Kahlouche, Nouredine Bourahla, Ismail Derbal, Ahmed Mebarki

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Multimodal deep learning for predicting PD-L1 biomarker and clinical immunotherapy outcomes of esophageal cancer by Hui Liu, Yinpu Bai, Zhidong Wang, Shi Yin, Cheng Gong, Bin Wang

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Study on Strength Prediction and Material Scheme Optimization for Modified Red Mud Based on Artificial Neural Networks by Qiaoling Ji, Xiuru Jia, Yingjian Wang, Yu Cheng

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Predicting acupuncture efficacy for neck pain based on functional connectivity features: a machine learning study by Zhen Gao, Mengjie Cui, Cheng Xu, Haijun Wang, Yanlin Zhang, Laixi Ji

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Deep learning and inflammatory markers predict early response to immunotherapy in unresectable NSCLC: A multicenter study by Lei Yuan, Qi Wang, Fei Sun, Hongcan Shi

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Individual and integrated indexes of inflammation predicting the risks of mental disorders - statistical analysis and artificial neural network by Shu-Min Huang, Fu-Hsing Wu, Kai-Jie Ma, Jong-Yi Wang

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Predicting low ionospheric parameters and low frequency sky wave propagation strength using machine learning by Jian Wang, Chengsong Duan, Qiao Yu, Cheng Yang

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Probing the Pitfalls: Understanding SVD’s Shortcomings in Language Model Compression by Сергей Александрович Плетенев

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Nomogram for the prediction of the prognosis of patients with triple-negative invasive ductal carcinoma of breast after neoadjuvant chemotherapy by Qiuyu Yang, Liangchen Xi, Mudan Huang, Haosheng Zhang, Fangzheng Zhou

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Predicting student academic performance using Bi-LSTM: a deep learning framework with SHAP-based interpretability and statistical validation by Emi Kalita, Abdullah Mana Alfarwan, Houssam El Aouifi, Houssam El Aouifi, Ashima Kukkar, Sadiq Hussain, Tazid Ali, Silvia Gaftandzhieva

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Head injury risk prediction for vulnerable road users based on Chinese adult male head data by Ying Lu, Jun Bai, Yufa Liu, Yu Shu

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The role of explainable artificial intelligence in disease prediction: a systematic literature review and future research directions by Razan Alkhanbouli, Hour Matar Abdulla Almadhaani, Farah Alhosani, Mecit Can Emre Simsekler

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Machine learning for early prediction of the infection in patients with urinary stone after treatment of holmium laser lithotripsy. by Weiqi Xia, Miaomiao Zhang, Xiaowei Zheng, Zushuai Wu, Zixue Xuan, Ping Huang, Xiuli Yang

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Integrating Time Series Decomposition and Deep Learning: An STL-TCN-Transformer Framework for Landslide Displacement Prediction by Shuai Ren, Kamarul Hawari Ghazali

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Predicting bacterial phenotypic traits through improved machine learning using high-quality, curated datasets by Julia Koblitz, Lorenz Christian Reimer, Rüdiger Pukall, Jörg Overmann

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A Deep Learning Approach for General Aviation Trajectory Prediction Based on Stochastic Processes for Uncertainty Handling by Houru Hu, Ye Yuan, Qingwen Xue

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Predicting and Understanding Disorders of Consciousness of Sleep Patients Through Multimodal Data Fusion and Temporal Attention Mechanisms by Haixia Pan, Haotian Geng, Pingshu Zhang, Xiaodong Yuan

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