Employing Neural Networks, Fuzzy Logic, and Weibull Analysis for the Evaluation of Recycled Brick Powder in Concrete Compositions by Mohammad Mohtasham Moein, Komeil Rahmati, Ali Mohtasham Moein, Ashkan Saradar, Sam E. Rigby, Amin Akhavan Tabassi

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Frequency-band specific directed connectivity networks reveal functional disruptions and pathogenic patterns in temporal lobe epilepsy: a MEG study by Chen Zhang, Yutong Wu, Wenhan Hu, Guangfei Li, Chunlan Yang, Ting Wu

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PERAMALAN DERET WAKTU MENGGUNAKAN MODEL FUNGSI BASIS RADIAL (RBF) DAN AUTO REGRESSIVE INTEGRATED MOVING AVERAGE (ARIMA) by DT Wiyanti, R Pulungan

“…Pada artikel ini dibahas peramalan terhadap data Indeks Harga Perdagangan Besar (IHPB) dan data inflasi komoditi Indonesia; kedua data berada pada rentang tahun 2006 hingga beberapa bulan di tahun 2012. …”
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Uncovering the evolution of digital economy investment networks: a county-level perspective by Fenghua Xie, Peng Peng, Daichao Li, Yang Xu, Mingzhi Wu

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Spatial Downscaling of Soil Moisture Product to Generate High-Resolution Data: A Multi-Source Approach over Heterogeneous Landscapes in Kenya by Asnake Kassahun Abebe, Xiang Zhou, Tingting Lv, Zui Tao, Abdelrazek Elnashar, Asfaw Kebede, Chunmei Wang, Hongming Zhang

“…A data analysis was conducted by integrating Google Earth Engine (GEE) with the computing capabilities of the python language through Google Colab. …”
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Factors associated with mortality among inpatients at Koidu Government Hospital, Sierra Leone: A Secondary data analysis by Ivan Augustine Barrie, Solomon Aiah Sogbeh, Babatunde Duduyemi, Umaru Sesay, Amara Alhaji Sheriff, Anna Jammeh, Adel Hussein Elduma, Gebrekrstos Negash Gebru

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Optimization and implementation of management technology integrated with data analysis for college students' course evaluation and academic early warning by Xinxin Yang

“…Educational managers need curriculum evaluation results and academic warnings to enrich educational management content. The study integrates data analysis technology into education and teaching, and uses association rules to mine the internal relationship of each dimension element of course evaluation. …”
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Big data analysis on flow characteristics according to welded penetration locations for fire sprinkler piping system design by Joo Hyun Moon, Jae Heon Gu, Dong Kyu Kim, In Woo Jang

“…This study presents a big data-driven computational fluid dynamics (CFD) analysis of Tee‐type fire sprinkler pipelines, focusing on how different weld penetration depths affect flow behavior and overall system performance. …”
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An ensemble method for cloud mask calculation based on data from the AHI instrument onboard the Himawari-8/9 satellite using convolutional neural networks by A.I. Andreev, S.I. Malkovsky, M.O. Kuchma, Y.A. Shamilova

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Projected changes and burden of type 2 diabetes in China from 1990 to 2021: an analysis of GBD 2021 data by Junhao MA, Guangqiang MIAO, Guixiao WANG, Shen LI, Liping YANG

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Calculation and Analysis of Specific Losses of Active Power in Overhead Power Lines due to Corona in View of Climatic Data by D. A. Sekatski, N. A. Papkova

“…In the USSR (Union of Soviet Socialist Republics), based on field tests and experimental data, recommendations were developed for accounting for losses of electric energy due to corona and interference in overhead lines, the average values of which were given in the relevant instruction for the regulation and justification of the norm of electricity consumption for its transmission over electric networks. …”
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Characterization of Neural Interaction During Learning and Adaptation from Spike-Train Data by Liqiang Zhu, Ying-Cheng Lai, Frank C. Hoppensteadt, Jiping He

“…Our computation and analysis indicated that theadaptation tends to alter the connection topology of theunderlying neural network, yet the average interaction strength inthe network is approximately conserved before and after theadaptation. …”
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Cluster Analysis of Comparative Genomic Hybridization (CGH) Data Using Self-Organizing Maps: Application to Prostate Carcinomas by Torsten Mattfeldt, Hubertus Wolter, Ralf Kemmerling, Hans‐Werner Gottfried, Hans A. Kestler

“…Self‐organizing maps are artificial neural networks with the capability to form clusters on the basis of an unsupervised learning rule, i.e., in our examples it gets the CGH data as only information (no clinical data). …”
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Harnessing Deep Learning for Enhanced MPPT in Solar PV Systems: An LSTM Approach Using Real-World Data by Bappa Roy, Shuma Adhikari, Subir Datta, Kharibam Jilenkumari Devi, Aribam Deleena Devi, Taha Selim Ustun

“…This paper introduces a novel deep learning-based MPPT algorithm that leverages a Long Short-Term Memory (LSTM) deep neural network (DNN) to effectively track maximum power from solar PV panels, utilizing real-world data. …”
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A Survey of Efficient Lightweight Cryptography for Power-Constrained Microcontrollers by Jesús Soto-Cruz, Erica Ruiz-Ibarra, Javier Vázquez-Castillo, Adolfo Espinoza-Ruiz, Alejandro Castillo-Atoche, Joaquin Mass-Sanchez

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Multilayer Network Modeling for Brand Knowledge Discovery: Integrating TF-IDF and TextRank in Heterogeneous Semantic Space by Peng Xu, Rixu Zang, Zongshui Wang, Zhuo Sun

“…However, traditional single-layer network models fail to capture the multi-dimensional semantic relationships embedded in brand-related textual data. …”
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SE-TFF: Adaptive Tourism-Flow Forecasting Under Sparse and Heterogeneous Data via Multi-Scale SE-Net by Jinyuan Zhang, Tao Cui, Peng He

“…Experimental results show SE-TFF attains 56.5% MAE and 65.6% RMSE reductions over the best baseline (ARIMAX) at 20% sparsity, with 0.92 × 10³ average MAE across multi-task outputs. SHAP analysis ranks climate anomalies, tourism revenue, and employment as dominant predictors. …”
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Artificial intelligence for biodiversity: Exploring the potential of recurrent neural networks in forecasting arthropod dynamics based on time series by Sébastien Lhoumeau, João Pinelo, Paulo A.V. Borges

“…This research conducted a comparative analysis of Local Polynomial Regression (LOESS), Seasonal Autoregressive Integrated Moving Average (SARIMA), and Recurrent Neural Network (RNN) models for time-series prediction. …”
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A N-of-1 social network approach to study the social dynamics of alcohol consumption by Dominika Kwasnicka, Aileen O’Gorman, Martin Anderson, Louise Bowman, Mark McCann

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Improving Artificial Intelligence–based Microbial Keratitis Screening Tools Constrained by Limited Data Using Synthetic Generation of Slit-Lamp Photos by Daniel Wang, BA, Bonnie Sklar, MD, James Tian, MD, Rami Gabriel, MD, Matthew Engelhard, MD, PhD, Ryan P. McNabb, PhD, Anthony N. Kuo, MD

“…Objective: We developed a novel slit-lamp photography (SLP) generative adversarial network (GAN) model using limited data to supplement and improve the performance of an artificial intelligence (AI)–based microbial keratitis (MK) screening model. …”
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