Modeling and forecasting of the high-dimensional time series data with functional data analysis and machine learning approaches by Yousuf Alkhezi, Hajar M. Alkhezi, Ahmad Shafee

Subjects: “…functional autoregressive…”
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Abnormal intrinsic brain functional network dynamics in patients with retinal detachment based on graph theory and machine learning by Yuanyuan Wang, Yu Ji, Jie Liu, Lianjiang Lv, Zihe Xu, Meimei Yan, Jialu Chen, Zhijun Luo, Xianjun Zeng

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Functional connectivity of default mode network in non-hospitalized patients with post-COVID cognitive complaints by Derek Madden, Tressie M. Stephens, Jim Scott, Christen O’Neal Swann, Kiana Prather, Jordan Hoffmeister, Lei Ding, Lei Ding, Ian F. Dunn, Andrew K. Conner, Han Yuan, Han Yuan, Han Yuan

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Brain Function Characteristics of Children with Attention-Deficit/Hyperactivity Disorder Aged 4-9 Years During a GO/NOGO Task: An Functional Near-Infrared Spectroscopy Study by Cui Z, Liang A, Huang H, Ni X

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EVALUATION OF LIVING HIERARCHICAL TELECOMMUNICATION NETWORKS OF MILITARY PURPOSE by Leonid A. Bondarenko, Nikolay A. Mаsesov, Kateryna A. Efanova, Oleg I. Sadykov

“…Also, one of the promising methods of a staff model for calculating the survivability of a communication system based on the calculations of system connectivity indicators is proposed, which will solve the problem of ensuring the survivability of telecommunication networks, which is also related to the reliability and accuracy of the information transmitted, the number of possible network reconfigurations, as well as the ability to continue functioning of the network in the event of destruction.…”
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Sex differences and age-related changes of large-scale brain networks by Shujun Zhang, Meiqin Li, Anqiang Chen, Liping Jiang, Hao Yu, Yueqin Chen

Subjects: “…Brain network…”
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Research on Virtualization of Mobile Core Network Architecture by Wei Xiong, Bingyi Fang, Yunyong Zhang, Jun Wu, Sufen Li

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A systematic review of alterations in sensorimotor networks following stroke: implications for integration and functional outcomes across recovery stages by Nur Shaheera Aidilla Sahrizan, Noorazrul Yahya, Zhe Kang Law, Wan Asyraf Wan Zaidi, Umi Nabilah Ismail, Naela Himayati Afifah, Amirul Azri, Hanani Abdul Manan, Hanani Abdul Manan

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The Casual Associations Between Brain Functional Networks and Fibromyalgia: A Large-Scale Genetic Correlation and Mendelian Randomization Study by Yiqun Hu, Guang Yang, Zhenhan Deng, Shengwu Yang, Yusheng Li, Wenfeng Xiao, Bangbao Lu, Xiongbai Zhu

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Abnormal resting-state functional connectivity within the default mode network subregions in male patients with obstructive sleep apnea by Li H, Nie X, Gong H, Zhang W, Nie S, Peng D

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Predicting renal function using fundus photography: role of confounders by Hyun-Woong Park, Hae Ri Kim, Ki Yup Nam, Bum Jun Kim, Taeseen Kang

“…Conclusions Fundus photographs are a valuable tool for screening renal function using deep neural network models, demonstrating the role of noninvasive imaging in medical diagnostics. …”
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Spatially-Aware Loss Functions for GAN-Driven Super-Resolution by Xijun Wang, Santiago Lopez-Tapia, Xinyi Wu, Rafael Molina, Aggelos K. Katsaggelos

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Tell me why: A scoping review on the fundamental building blocks of fMRI-based network analysis by Z. van der Pal, L. Douw, A. Genis, D. van den Bergh, M. Marsman, A. Schrantee, T.F. Blanken

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Network function parallelism configuration with segment routing over IPv6 based on deep reinforcement learning by Seokwon Jang, Namseok Ko, Yeunwoong Kyung, Haneul Ko, Jaewook Lee, Sangheon Pack

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A novel sub-network level ensemble deep neural network with a regularized loss function to improve prediction performance by Jalil Toosifar, Yahya Forghani, Seyyed Abed Hosseini, Nasser Shoeibi

“…Additionally, a regularized loss function is introduced to enhance diversity at different levels of the network, leading to improved generalization. …”
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Brain Network Abnormalities in Obsessive–Compulsive Disorder: Insights from Edge Functional Connectivity Analysis by Yongwang Xu, Hongfei Liu, Haiyan Liu, Defeng Lin, Sipeng Wu, Ziwen Peng

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Physical function evaluation in volleyball training based on intelligent GRNN by Kaiyuan Dong, Borhannudin bin Abdullah, Hazizi bin Abu Saad, Chenxi Lu

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ANALYSIS OF INDICATORS OF RELIABILITY OF ELECTRICAL NETWORKS by Popescu V.

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Analysis of the functioning computer equipment under the influence of electromagnetic interference through the power supply network by Z. M. Gizatullin, R. M. Gizatullin, I. N. Ziatdinov

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Damage to white matter networks resulting from small vessel disease and the effects on cognitive function by Natalie Busby, Janina Wilmskoetter, Roger Newman-Norlund, Sarah Newman-Norlund, Sara Sayers, Sarah C. Wilson, Nicholas Riccardi, Alex Teghipco, Rebecca W. Roth, Lumi Bakos, Chris Rorden, Julius Fridriksson, Leonardo Bonilha

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