PGTransNet: a physics-guided transformer network for 3D ocean temperature and salinity predicting in tropical Pacific by Song Wu, Senliang Bao, Wei Dong, Senzhang Wang, Xiaojiang Zhang, Chengcheng Shao, Junxing Zhu, Xiaoyong Li

Subjects: “…physics-guided machine learning…”
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Review of the application of intelligent speech technology in education by Gao Jianqing, Wan Genshun, Wu Kui, Fu Zhonghua

Subjects: “…computer-assisted language learning…”
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The impact of teacher emotional support on learning engagement among college students mediated by academic self-efficacy and academic resilience by Wenjing Guo, Juan Wang, Na Li, Luxin Wang

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Remaining Useful Life Prediction of Rolling Bearings Based on CBAM-CNN-LSTM by Bo Sun, Wenting Hu, Hao Wang, Lei Wang, Chengyang Deng

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A Novel Approach to Cognitive Load Measurement in N-Back Tasks Using Wearable Sensors, Empirical Mode Decomposition With Machine Learning, and Explainable AI for Feature Importance by Aakanksha Dayal, Ziaullah Khan, Kiramat Ullah, Hee-Cheol Kim

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D2CBDAMAttUnet: Dual-Decoder Convolution Block Dual Attention Unet for Accurate Retinal Vessel Segmentation From Fundus Images by Vo Trong Quang Huy, Chih-Min Lin

Subjects: “…Deep learning…”
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Cloud-edge hybrid deep learning framework for scalable IoT resource optimization by Umesh Kumar Lilhore, Sarita Simaiya, Yogesh Kumar Sharma, Anjani Kumar Rai, S. M. Padmaja, Khan Vajid Nabilal, Vimal Kumar, Roobaea Alroobaea, Hamed Alsufyani

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Enhanced cloud removal via temporal U-Net and cloud cover evolution simulation by Qingwei Tong, Leiguang Wang, Qinling Dai, Chen Zheng, Fangrong Zhou

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INTELLIGENT TRAINING SYSTEMS by L. Alesheva

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Enhancing Teacher Beliefs through an Inquiry-Based Professional Development Program by Tammy R. McKeown, Lisa M. Abrams, Patricia W. Slattum, Suzanne V. Kirk

Subjects: “…Inquiry-based learning…”
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Machine classification of code signals in electric train warning systems by I. V. Prisukhina, D. V. Borisenko

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Enhancing Transient Stability of DFIG-Based Wind Turbine Systems Using Deep Learning-Controlled Resistance-Based Fault Current Limiters by Yaoying Wang

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Enhanced thyroid disease prediction using ensemble machine learning: a high-accuracy approach with feature selection and class balancing by Md. Rezaul Islam, Aniruddha Islam Chowdhury, Sharmin Shama, Md. Masudul Hasan Lamyea

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The Significance of Natural Environment in Reducing Long-Term Consequences of COVID-19. Tasks and Threats of Forest Pedagogy as Environmental Education by Marlena Baranowska, Anna Koprowicz, Martyna Korzeniewicz, Robert Korzeniewicz

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Secretary bird optimization algorithm based on quantum computing and multiple strategies improvement for KELM diabetes classification by Yu Zhu, Mingxu Zhang, Qinchuan Huang, Xianbo Wu, Li Wan, Ju Huang

Subjects: “…Kernel extreme learning machine…”
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Towards fairness-aware multi-objective optimization by Guo Yu, Lianbo Ma, Xilu Wang, Wei Du, Wenli Du, Yaochu Jin

Subjects: “…Fairness-aware machine learning…”
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Prediction method of gas emission in working face based on feature selection and BO-GBDT by MA Wenwei

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Voltage-driven autonomous cooperative control of EHLs for load stabilization by Bing Qi, Rui Liu, Deying Zhang, Zhuoqun Wang, Qi Qi

Subjects: “…Multi-agent deep reinforcement learning…”
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Novel machine learning-driven comparative analysis of CSP, STFT, and CSP-STFT fusion for EEG data classification across multiple meditation and non-meditation sessions in BCI pipel... by Nalinda D. Liyanagedera, Corinne A. Bareham, Heather Kempton, Hans W. Guesgen

Subjects: “…Machine learning…”
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Dynamic Impact-Based Heavy Rainfall Warning with Multi-classification Machine Learning Approaches by Anand Shankar

Subjects: “…impact-based heavy rainfall warning, multi-classification machine learning, impacts of floods, flood assessment, cascading impact…”
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