Comparison and Optimization of Generalized Stamping Machine Fault Diagnosis Models Using Various Transfer Learning Methodologies by Po-Wen Hwang, Yuan-Jen Chang, Hsieh-Chih Tsai, Yu-Ta Tu, Hung-Pin Yang

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IT Diagnostics of Parkinson’s Disease Based on the Analysis of Voice Markers and Machine Learning by U. A. Vishniakou, Xia YiWei

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Dynamic climate graph network and adaptive climate action strategy for climate risk assessment and low-carbon policy responses by Fang Zhou, Yan Shi, Pengfei Zhao, Zhengzhao Gu, Ye Li

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Optimization Algorithm of Communication Resource Allocation in a Complex Network Based on an Improved Neural Network by Haomiao Zhang, Qing Liu

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Establishment of an Improved Elman Neural Network Model for Predicting the Corrosion Rate of 3C Steel in Marine Environment and Analysis of the Factors Affecting Model Accuracy by Wenbo Jin, Zhuo Chen, Wanying Liu, Qing Quan, Zongxiao Ren

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Distinct gut microbiota profiles and network properties in older Korean individuals with subjective cognitive decline, mild cognitive impairment, and Alzheimer’s disease by Sang Joon Son, Xuanga Wu, Hyun Woong Roh, Yong Hyuk Cho, Sunhwa Hong, You Jin Nam, Chang Hyung Hong, Sunmin Park

“…The SCD group showed significantly elevated Bifidobacterium catenulatum, Anaerobutyricum hallii, and Anaerostipes hadrus. Network analysis demonstrated greater microbial community complexity in the SCD group compared to the MCI and AD groups. …”
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Social network shapes farmers’ non-point source pollution governance behavior – A case study in the Lijiang River Basin, China by Zhanbo Qin, Qinxue Xu, Changping Zhang, Lanlan Zuo, Lingling Chen, Rongjie Fang

“…Based on survey data from 305 farmers in a typical village in the Lijiang River Basin, social networks of GC and CC farmers were constructed. …”
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A network analysis of the propagation of evidence regarding the effectiveness of fat-controlled diets in the secondary prevention of coronary heart disease (CHD): Selective citatio... by Rhodri Ivor Leng

“…<h4>Design</h4>Claim-specific citation network analysis was used to study the network of citations between reviews and RCTs over a defined period (1969-1984). …”
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A novel hybrid machine learning framework for spatio-temporal analysis of reference evapotranspiration in India by Dolon Banerjee, Sayantan Ganguly, Wen-Ping Tsai

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Winter Wheat Yield Prediction and Influencing Factors Analysis Based on FourierGNN–Random Forest Combined Modeling by Jianqin Ma, Yijian Chen, Bifeng Cui, Yu Ding, Xiuping Hao, Yan Zhao, Junsheng Li, Xianrui Su

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EarlyExodus: Leveraging early exits to mitigate backdoor vulnerability in deep learning by Salmane Douch, M. Riduan Abid, Khalid Zine-Dine, Driss Bouzidi, Fatima Ezzahra El Aidos, Driss Benhaddou

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Hierarchical clustering methods in a task to find abnormal observations based on groups with broken symmetry by A. N. Kislyakov, S. V. Polyakov

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Graph neural network-based transaction link prediction method for public blockchain in heterogeneous information networks by Zening Zhao, Jinsong Wang, Jiajia Wei

“…Public blockchain has outstanding performance in transaction privacy protection because of its anonymity. The data openness brings feasibility to transaction behavior analysis. …”
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Evaluation and Analysis of Long-term Environmental Noise Levels in 7 Major Cities of India by Naveen Garg, Saurabh Kumar, Chitra Gautam, Vishal Gandhi, Nalin Kumar Gupta

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A Vascular-Network-Based Nonuniform Hierarchical Fault-Tolerant Routing Algorithm for Wireless Sensor Networks by Hongbing Li, Peng Gao, Qingyu Xiong, Weiren Shi, Qiang Chen

“…It has the good performance in fault tolerance and stability of data transmitting, and it avoids the hot issue in energy consumption and achieves the network load balance.…”
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Comparative analysis of inflow forecasting using machine learning and statistical techniques: case study of Mangla reservoir and Marala Headworks by Muhammad Muneeb Khan, Muhammad Kaleem Sarwar, Muhammad Awais Zafar, Muhammad Rashid, Muhammad Atiq Ur Rehman Tariq, Saif Haider, Abdelaziz M. Okasha, Ahmed Z. Dewidar, Mohamed A. Mattar, Ali Salem, Ali Salem

“…In this study, Artificial Intelligence (AI) models including Generalized Regression Neural Network (GRNN), and Multi-Layer Feedforward Neural Network (MLFN) along with the statistical model Autoregressive Integrated Moving Average (ARIMA) were used to forecast the inflows of both rivers for 5 years (2020–2024) with a lead time of 1 year. …”
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Size and Composition of Caregiver Networks Who Manage Medications for Persons Living With Dementia: Cross-Sectional Analysis of the 2011-2022 National Health and Aging Trends Study by Reed WR Bratches, Frank Puga, Paul J Barr, Amanda N Leggett, Meredith Masel, James Nicholas Odom, Rita Jablonski

“…MethodsThis cross-sectional secondary analysis used data from the National Health and Aging Trends Study (NHATS) “other person” files from 2011 to 2022. …”
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Prediction and analysis of thermal drift in large-scale tooling reference points under non-uniform temperature field by LI Yan, ZHANG Shang'an, WANG Shouchuan, WEI Hongyang, LI Shuanggao, HOU Guoyi

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Can eXplainable AI Offer a New Perspective for Groundwater Recharge Estimation?—Global‐Scale Modeling Using Neural Network by Hyekyeng Jung, Jan Saynisch‐Wagner, Stephan Schulz

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Neural Networks in Forecasting Disease Dynamics by A. G. Hasanov, D. G. Shaybakov, S. V. Zhernakov, A. M. Men’shikov, F. F. Badretdinova, I. F. Sufiyarov, J. R. Sagadatova

“…In order to assess the effectiveness of the proposed neural network in predicting the dynamics of inflammation, a comparative analysis was carried out using a number of conventional methods, such as exponential smoothing, moving average, least squares and group data handling.Conclusion.The proposed neural network based on approximation and extrapolation of variations in the patient’s medi‑ cal history over fixed time window segments (within the ‘sliding time window’) can be successfully used for forecasting the development and outcome of erysipelas.…”
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