An integrated approach based on FDA adverse event reporting system, network pharmacology, molecular docking, and molecular dynamics simulation analysis to study the cardiac adverse... by Wenjuan Wang, Hong Liu, Yongqing Wen, Yanhua Zhang, Xu Ma

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Epilepsy EEG Seizure Prediction Based on the Combination of Graph Convolutional Neural Network Combined with Long- and Short-Term Memory Cell Network by Zhejun Kuang, Simin Liu, Jian Zhao, Liu Wang, Yunkai Li

“…Graph neural networks can effectively extract features of non-Euclidean spatial data. …”
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Transforming physical fitness and exercise behaviors in adolescent health using a life log sharing model by Shanshan Wang, Jingwu Liu

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Differential and Combined Effects of Physical Activity Profiles and Prohealth Behaviors on Diabetes Prevalence among Blacks and Whites in the US Population: A Novel Bayesian Belief... by Azizi A. Seixas, Dwayne A. Henclewood, Aisha T. Langford, Samy I. McFarlane, Ferdinand Zizi, Girardin Jean-Louis

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Application of Machine Learning Models for Baseball Outcome Prediction by Tzu-Chien Lo, Chen-Yin Lee, Chien-Lin Chen, Tsung-Yu Hsieh, Che-Hsiu Chen, Yen-Kuang Lin

“…Data science has become an essential component in professional sports, particularly for predicting team performance and outcomes. …”
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Mapping Fluvial Valleys on the Flanks of Alba Mons: Implications for Amazonian Watershed Development in Northern Tharsis, Mars by Stephen P. Scheidt, David A. Crown, Daniel C. Berman

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INTERFERENCES BETWEEN THE ECOLOGICAL NETWORK AND URBANIZED AREAS IN POLAND by IWONA ZWIERZCHOWSKA

“…This paper presents spatial relations between Polish urban areas and valuable habitats and links between them composing the country’s ecological network. The quantitative analysis for 891 towns and cities was conducted using GIS techniques based on cartographic vector data and statistical data. …”
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An Efficient Multitask Scheduling Model for Wireless Sensor Networks by Hongsheng Yin, Honggang Qi, Jingwen Xu, Xin Huang, Anping He

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Precision Improvement for the Detection of TGC via RBF Network by Yue Yan

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Developing Pavement Performance Functions for Palestinian Roadway Network by Osama Abaza, Lana Shahein

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Nonlinear Survival Regression Using Artificial Neural Network by Akbar Biglarian, Enayatollah Bakhshi, Ahmad Reza Baghestani, Mahmood Reza Gohari, Mehdi Rahgozar, Masoud Karimloo

“…Survival analysis methods deal with a type of data, which is waiting time till occurrence of an event. …”
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Performance of Network Real-Time Kinematic in Hydrographic Surveying by Mohamed Elsayed Elsobeiey

“…It is shown that the Total Horizontal Uncertainty (THU) and the Total Vertical Uncertainty (TVU) of the NRTK solution are 6.38 cm and 3.10 cm, respectively. Statistical analysis of the differences between the seabed surface generated using the NRTK solution and the seabed surface generated using the Post-Processed Kinematic (PPK) technique showed an average of −0.19 cm and a standard deviation of 2.4 cm. …”
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MCAUnet: a deep learning framework for automated quantification of body composition in liver cirrhosis patients by Jiening Wang, Shuqi Xia, Jie Zhang, Xinyi Wang, Cai Zhao, Wen Zheng

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Image Compression Based on Clustering Fuzzy Neural Network by Shahba Khaleel, Jamal Majeed, Bayda Khaleel

“…This new approach includes new objective function, and its minimization by energy function based on unsupervised two dimensional fuzzy Hopfield neural network. New objective function consists of a combination of classification entropy function and average distance between image pixels and cluster centers. …”
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Artificial Intelligence Algorithm for Optimal Time Series Data Model by Kang Wang

“…For three types of artificial intelligence models often applied to time series analysis: hidden Markov Carrier model, artificial neural network model and autoregressive moving average model are used to study model selection based on simulation comparison method. …”
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Predicting Olympic Medal Performance for 2028: Machine Learning Models and the Impact of Host and Coaching Effects by Zhenkai Zhang, Tengfei Ma, Yunpeng Yao, Ningjia Xu, Yujie Gao, Wanwan Xia

“…Four models (random forest, BP Neural Network, XGBoost, and SVM) are employed to predict medal outcomes, using historical data split into training and testing sets to compare their predictive performance. …”
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Sexual dysfunction and other prolactin-related side effects of antipsychotic drugs in schizophrenia: Protocol for a systematic review with single-arm, pairwise, and network meta-an... by Wulf Peter Hansen, Spyridon Siafis, Orestis Efthimiou, Shimeng Dong, Johannes Schneider-Thoma, Stefan Leucht, Karl Heinz Möhrmann, Elfriede Scheuring

“…This study aims to address this gap using network meta-analysis that integrates data from both randomized-controlled trials (RCTs) and non-randomized studies (NRS). …”
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Sexual dysfunction and other prolactin-related side effects of antipsychotic drugs in schizophrenia: Protocol for a systematic review with single-arm, pairwise, and network meta-an... by Wulf Peter Hansen, Spyridon Siafis, Orestis Efthimiou, Shimeng Dong, Johannes Schneider-Thoma, David D. Kim, Stefan Leucht, Karl Heinz Möhrmann, Elfriede Scheuring

“…This study aims to address this gap using network meta-analysis that integrates data from both randomized-controlled trials (RCTs) and non-randomized studies (NRS). …”
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Kinematics of the Kashmir Himalaya: Inferences from geological and geodetic data by Ahsan Afzal Wani, Bikram Singh Bali, Sareer Ahmad Mir, Mohammad Irfan Wani

“…The GPS data sourced from the permanent GPS network in the Kashmir Himalaya were utilized to quantify both vertical and horizontal deformation rates in the Kashmir Valley of the northwestern Himalaya. …”
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An Ensemble Learning-Based Predictive Parameterization Approach for Permanent Magnet Synchronous Machines by Sema Nur Ipek, Nur Bekiroglu, Murat Taskiran

“…Six machine learning models-Multilayer Perceptron (MLP), Cascade Forward Neural Network (CFNN), Layer Recurrent Neural Network (LRNN), Transformer-like Network (TRF), Decision Tree (DT), and Support Vector Regression (SVR)–were evaluated in the first stage of the study. …”
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