Prospects of IoT technology by М. V. Yadrovskaya, М. V. Porksheyan, А. А. Sinelnikov

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Enhancing Negative Film Colorization through Systematic CycleGAN Architectural Modifications: A Comprehensive Analysis of Generator and Discriminator Performance by Khaulyca Arva Artemysia Khaulyca, Arief Suryadi Satyawan Arief, Mokhammad Mirza Etnisa Haqiqi Mirza, Helfy Susilawati Helfy, Beni Wijaya Beni, Sani Moch Sopian Sani, Muhammad Ikbal Shamie Ikbal, Firman Firman

“…Modifications included the addition of residual blocks, alterations in filter quantities, activation functions, and inter-layer connections. The Evaluation was conducted qualitatively and based on generator and discriminator loss values. …”
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GSA-KAN: A Hybrid Model for Short-Term Traffic Forecasting by Zhizhe Lin, Dawei Wang, Chuxin Cao, Hai Xie, Teng Zhou, Chunjie Cao

“…The Kolmogorov–Arnold Network (KAN) has shown parameter efficiency with lower memory and computational overhead via spline-parametrized functions to handle high-dimensional temporal data. …”
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Aerodynamic optimization of a coaxial rotor system using a deep learning-based multi-fidelity surrogate model by Shu-Hui Qin, Ai-Ming Yang

“…The DBN model provides reliable predictions and supplementary low-fidelity samples capturing global function trend. A Multilevel Hierarchical Kriging (MHK) model is built to conduct a deep learning-based multi-fidelity optimization, combining existing low- and medium-fidelity samples with additional high-fidelity data to achieve the optimum. …”
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Probabilistic Prediction and Assessment of Train-Induced Vibrations Based on Mixture Density Model by Ziyu Tao, Lingshan He, Desi Tu, Chao Zou

“…This study presents a probabilistic prediction method for train-induced vibrations by combining a deep neural network (DNN) with the mixture density model in a cascade fashion, referred to as the DNN-RMDN model in this paper. …”
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Adaptive Parameter Approaching Law-Based Sliding Mode Control for Wheeled Robots by Ming Hou, Limeng Jia, Zhengqin Wang

“…A method combining adaptive parameter approaching law with Radial Basis Function (RBF) neural network hierarchical sliding mode control is proposed to address the issues of low accuracy and significant oscillations during the trajectory tracking process of wheeled inverted pendulum robots (WIPR) with nonlinear underactuation characteristics. …”
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Research on Active–Passive Training Control Strategies for Upper Limb Rehabilitation Robot by Yongming Yang

“…By utilizing neural networks to train sample data during rehabilitation training, the fuzzy rules and membership functions in fuzzy intention recognition algorithm are optimized to improve the accuracy of intention recognition during training. …”
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Mental Disorder Assessment in IoT-Enabled WBAN Systems with Dimensionality Reduction and Deep Learning by Damilola Olatinwo, Adnan Abu-Mahfouz, Hermanus Myburgh

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Low-light image enhancement method for underground mines based on an improved Zero-DCE model by WANG Yiwei, LI Xiaoyu, WENG Zhi, BAI Fengshan

“…The ReLU activation function in the Zero-DCE model was replaced with Leaky ReLU to accelerate model convergence and improve the efficiency of low-light image feature learning. …”
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Triplane generator-based NeRF-GAN framework for single-view ship reconstruction by Tao Liu, Shiqi Geng, Yucheng Fu, Zhengling Lei, Yuchi Huo, Xiaocai Zhang, Fang Wang, Bing Han, Mei Sha, Zhongdai Wu

“…Plus, discriminator and encoder networks, coupled with a tailored loss function, are formulated to direct model optimization. …”
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Transcriptome analysis reveals age-specific growth characteristics in the rumen of Hanwoo (Korean native cattle) steers by Yejee Park, Sunsik Jang, Han-Ha Chai, Ju-Whan Son, Dajeong Lim, Woncheoul Park

“…The results of a weighted gene co-expression network analysis were identified and organized into three modules: turquoise, blue, and yellow. …”
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Personnel localization method for low-visibility environments based on improved YOLOv3 by LU Xiaoya, LI Haifang

“…First, the clarity of coal mine monitoring videos under low-visibility conditions was enhanced using a combination of β function mapping and inter-frame information enhancement techniques. …”
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Economic Evaluation of an Integrated Care Program Compared to Conventional Care for Patients With Chronic Kidney Disease in Rural Communities of Thailand by Molly Paffett, Jeerath Phannajit, Kinanti Khansa Chavarina, Tanainan Chuanchaiyakul, Teerayuth Jiamjariyapon, Teerawat Thanachayanont, Methee Chanpitakkul, Salyaveth Lekagul, Yot Teerawattananon, Kriang Tungsanga

“…Designed for sustainability within the primary healthcare system, the program optimizes the use of the existing workforce by fostering collaboration among local multidisciplinary care teams (MDCTs) and community care networks (CCNs). Methods: A Markov model with a lifetime horizon was used to conduct a cost-utility analysis from a societal perspective. …”
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Coordinate-Corrected and Graph-Convolution-Based Hand Pose Estimation Method by Dang Rong, Feng Gang

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Bioinformatics‑Based Analysis Reveals Diagnostic Biomarkers and Immune Landscape in Atopic Dermatitis by Yang M, Zhang X, Zhou C, Du Y, Zhou M, Zhang W

“…Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were conducted using clusterProfiler. Weighted gene co-expression network analysis (WGCNA) was employed to identify gene modules. …”
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The impact of digital payments on the financial vulnerability of rural households: empirical evidence from China by Fan Xu, Lezhu Zhang

“…Despite China’s significant achievements in poverty alleviation, many rural households still struggle to maintain a sustainable livelihood may even slip back into poverty due to ineffective risk responses when facing risks and challenges.MethodsThis study employs data from the 2017–2019 China Household Finance Survey to theoretically and empirically examine the impact and mechanisms of digital payments on the financial vulnerability of rural households.ResultsThe study’s results indicate that digital payments significantly reduce the financial vulnerability of rural households, a finding that remains robust even after accounting for endogeneity, employing alternative variable measurement approaches, and conducting propensity score matching tests. Mechanism analysis suggest that encouraging rural households to hold commercial insurance, engage in non-farm employment and expand their family social networks are key pathways by which digital payments impact the financial vulnerability of rural households. …”
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Linguistic Manifestation of Concept of HEALTH in Contemporary Domestic Discursive Practices (Newspaper Corpora) by T. B. Radbil

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Global analysis of protein lysine lactylation profiles in the marine bacterium Photobacterium damselae subsp. damselae by Yongxiang Yu, Yongxiang Yu, Haozhe Liu, Chunyuan Wang, Yingeng Wang, Yingeng Wang, Xiaojun Rong, Xiaojun Rong, Meijie Liao, Meijie Liao, Bin Li, Bin Li, Xingling Yi, Zheng Zhang, Zheng Zhang

“…Furthermore, 20 highly connected Klac protein clusters were extracted from the global protein-protein interaction (PPI) network, indicating that Klac modification tends to occur on proteins associated with specific functional clusters. …”
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Empirical Evaluation and Analysis of YOLO Models in Smart Transportation by Lan Anh Nguyen, Manh Dat Tran, Yongseok Son

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Short-Term Power Load Prediction of VMD-LSTM Based on ISSA Optimization by Shuai Wu, Huafeng Cai

“…First, the power load series is decomposed into intrinsic mode functions (IMFs) via VMD, where the optimal decomposition order K is determined using permutation entropy (PE). …”
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