Short-Term Energy Consumption Forecasting Analysis Using Different Optimization and Activation Functions with Deep Learning Models by Mehmet Tahir Ucar, Asim Kaygusuz

“…Regression methods, machine learning, and deep learning methods are used to learn different patterns from data and develop a consumption prediction model. …”
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Heterogeneous virus classification using a functional deep learning model based on transmission electron microscopy images by Niloy Sikder, Md. Al-Masrur Khan, Anupam Kumar Bairagi, Mehedi Masud, Jun Jiat Tiang, Abdullah-Al Nahid

“…The methodology of this study includes two coherent image processing techniques to reduce the noise present in raw microscopy images and a functional Convolutional Neural Network (CNN) model for classification. …”
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Adaptive temporal-difference learning via deep neural network function approximation: a non-asymptotic analysis by Guoyong Wang, Tiange Fu, Ruijuan Zheng, Xuhui Zhao, Junlong Zhu, Mingchuan Zhang

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Statistical learning-driven parameter tuning in injection molding using modified simplex method by Pongchanun Luangpaiboon, Walailak Atthirawong, Anucha Hirunwat, Pasura Aungkulanon

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Deep-learning-assisted reconfigurable metasurface antenna for real-time holographic beam steering by Ma Hyunjun, Kim Jin-Soo, Choe Jong-Ho, Park Q-Han

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Combining semiparametric and machine learning approaches for short-term prediction of satellite clock bias by Lihong Jin, Wanzhuo Zhao, Xiong Pan, Qingsong Ai, Mao Cai, Xiaoli Ruan

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Bioinformatics prediction of function of T-cell exhaustion related genes in ischemic stroke by Yajun Gao, Ruyu Bai, Bo Gao, Ma Li

“…Functional enrichment analysis revealed that these genes were involved in immune response and cellular processes, which were closely related to the level of immune cell infiltration. …”
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FLavourite: Horizontal and Vertical Federated Learning Setting Comparison by Walter Riviera, Ilaria Boscolo Galazzo, Gloria Menegaz

Subjects: “…Federated learning…”
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Construction and Validation of a Machine Learning-Based Risk Prediction Model for Sleep Quality in Patients with OSA [Response to Letter] by Guo B

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Multi-spatial urban function modeling: A multi-modal deep network approach for transfer and multi-task learning by Zhaoya Gong, Chenglong Wang, Bin Liu, Binbo Li, Wei Tu, Yuting Chen, Zhicheng Deng, Pengjun Zhao

Subjects: “…Urban functions…”
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An Investigation into the Gender-Based Ability of Secondary School Students to Learn English as a Foreign Language Concerning Biases and Gender in Language Learning by Muhammad Baiqun Isbahi

Subjects: “…Language Learning…”
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Identification of Alzheimer’s disease biomarkers and their immune function characterization by Mingkai Lin, Yue Zhou, Peixian Liang, Ruoyi Zheng, Minwei Du, Xintong Ke, Wenjing Zhang, Pei Shang

“…Material and methods Based on bulk RNA-seq (GSE122063 and GSE97760), we screened potential biomarkers for AD by differential expression analysis and machine learning algorithms. Then, we elaborated the expression characteristics and immune functions of the above biomarkers by scRNA-seq (single-cell RNA sequencing) data analysis (GSM4996463 and GSM4996462) and immune infiltration analysis. …”
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Editorial: Insights in functional and applied plant genomics: 2023 by Huihui Li, Huihui Li

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Correlation learning based multi-task model and its application by XU Wei, LUO Jianping, LI Xia, CAO Wenming

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Network-based intrusion detection using deep learning technique by Muhammad Farhan, Hafiz Waheed ud din, Saadat Ullah, Muhammad Sajjad Hussain, Muhammad Amir Khan, Tehseen Mazhar, Umar Farooq Khattak, Ines Hilali Jaghdam

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Three-Dimensional Magnetotelluric Forward Modeling Using Multi-Task Deep Learning with Branch Point Selection by Fei Deng, Hongyu Shi, Peifan Jiang, Xuben Wang

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Exploring the repository of de novo-designed bifunctional antimicrobial peptides through deep learning by Ruihan Dong, Rongrong Liu, Ziyu Liu, Yangang Liu, Gaomei Zhao, Honglei Li, Shiyuan Hou, Xiaohan Ma, Huarui Kang, Jing Liu, Fei Guo, Ping Zhao, Junping Wang, Cheng Wang, Xingan Wu, Sheng Ye, Cheng Zhu

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Risk prediction of kidney function in long-term kidney transplant recipients by Krzysztof Batko, Krzysztof Batko, Anna Sączek, Małgorzata Banaszkiewicz, Jolanta Małyszko, Ewa Koc-Żórawska, Marcin Żórawski, Marcin Żórawski, Karolina Niezabitowska, Katarzyna Siek, Alina Bętkowska-Prokop, Andrzej Kraśniak, Marcin Krzanowski, Katarzyna Krzanowska

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New Neurons in the Postnatal Olfactory System: Functions in the Healthy and Regenerating Brain by Jordan D. Gregory, Tenzin Kunkhyen, Sean C. Sweat, Jane S. Huang, Taryn R. Brechbill, Claire E. J. Cheetham

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Bidirectional Q-learning for recycling path planning of used appliances under strong and weak constraints by Yang Qi, Jinxin Cao, Baijing Wu

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