Medium- Long-Term Runoff Forecasting Using Interpretable Hybrid Machine Learning Model for Data-Scarce Regions by YOU Yu-jun, BAI Yun-gang, LU Zhen-lin, ZHANG Jiang-hui, CAO Biao, LI Wen-zhong, YU Qi-ying

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K-Nearest Neighbor Method with Principal Component Analysis for Functional Nonparametric Regression by Shelan Saied Ismaeel, Kurdistan M.Taher Omar, Bo Wang

“… This paper proposed a new  method to study functional non-parametric regression data analysis with conditional expectation in the case that the covariates  are functional and the Principal Component Analysis was utilized to de-correlate the multivariate response variables. …”
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Analysis Winds Data from ASCAT and SAR Backscatter using Statistical and Modeling Methods during Tropical Cyclone Anggrek (2024) in Indian Ocean by Amabel Amedea Santoso Annisa, Wicaksono Ashari

“…The results of the analysis show that this adjustment can reduce the SAR and ASCAT wind errors and show lower bias values. …”
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A comparative performance analysis of machine learning models for compressive strength prediction in fly ash-based geopolymers concrete using reference data by Muhammad Kashif Anwar, Muhammad Ahmed Qurashi, Xingyi Zhu, Syyed Adnan Raheel Shah, Muhammad Usman Siddiq

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Soil analysis in discussions of agricultural feasibility for ancient civilizations: A critical review and reanalysis of the data and debate from Chaco Canyon, New Mexico. by Jon-Paul P McCool, Samantha G Fladd, Vernon L Scarborough, Stephen Plog, Nicholas P Dunning, Lewis A Owen, Adam S Watson, Katelyn J Bishop, Brooke E Crowley, Elizabeth A Haussner, Kenneth B Tankersley, David Lentz, Christopher Carr, Jessica L Thress

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A building operational carbon emissions database of 362 Chinese cities: Construction process and spatiotemporal characteristic analysis by Qi Wang, Xinyu Jia, Yang Zhao, Hao Zhou, Xinghui Zhang, Borong Lin, Cong Zhang

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Federated learning with LSTM for intrusion detection in IoT-based wireless sensor networks: a multi-dataset analysis by Raja Waseem Anwar, Mohammad Abrar, Abdu Salam, Faizan Ullah

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Evaluation of SSM-Wheat Model in Simulating the Growth and Development of Wheat (Triticum aestivum L.) Cultivars in Different Planting Densities by Ali Rahemi karizki, Faramarz Sayyedi, Habib allah Soghi, Arazqlych Marfy, Mojtaba Salehi SHaikhi, Saeed Bagherikia

“…The parameters related to soil characteristics were considered from the base data of the model. To evaluate the model, the coefficient of determination (R2), root mean square error (RMSE), normalized root mean square error (nRMSE), and the 1:1 line were used.  …”
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AI-Driven Smart Agriculture: An Integrated Approach for Soil Analysis, Irrigation, and Crop-Fertilizer Recommendations by Ayesha Khaliq, Atif Khan, Salman Jan, Muhammad Umair, Asad Gulshair, Ahmad Ali, Usman Ali Shah

“…The Transformer-based Tabular Learning (TTL) model for irrigation advice gives an accuracy of 99.13%. For soil analysis, the TabNet regressor achieved a root mean square error (RMSE) of 1.51 and an R2 score of 98.7%, while XAI techniques were used to explain and interpret its predictions. …”
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An Adaptive Approach in Channel Quantization for Small Cells Based on Per-Receiver Antenna Quantization by Sanjeeb Shrestha, Xiaoying Kong, Paul Kwan, Xiaojing Huang

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Urban tree species benchmark dataset for time series classificationEasyData - Data Terra by Clément Bressant, Romain Wenger, David Michéa, Anne Puissant

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Optimization of IMU-based bending strain solving algorithm and full-scale experimental validation by Tong SHI, Xiaoben LIU, Lin ZHANG, Jun WANG, Rui LI, Ting Xie, Qingshan FENG, Qiyu HUANG

“…These tools were leveraged for error analysis and to delve into the bending strain solving algorithm. …”
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ANALISIS KESALAHAN DALAM MENYELESAIKAN SOAL KOMUNIKASI MATEMATIS MATERI BANGUN RUANG by Iffa Hanifah Rahman, Meilinda Manda Yassar, Nadya Suciati Fauziah, Nurul Rohmi, Hamdan Sugilar

“…The subjects of this study were 4th semester students at one of the universities in Bandung. The analysis technique used is an interactive technique which includes data collection, data reduction, data presentation, and conclusion drawing. …”
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Why students fail to revise? Analysis of written metalinguistic feedback and cognitive effort on revision success by Jan-Mikael Rybicki, Wilhelmiina Hämäläinen, Kari K. Pitkänen, Lauri Malmi

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Quantum algorithms and complexity in healthcare applications: a systematic review with machine learning-optimized analysis by Agostino Marengo, Vito Santamato

“…This approach revealed two primary research directions: (1) quantum computing for artificial intelligence in healthcare, and (2) quantum computing for healthcare data security. We highlight the theoretical advances underlying these domains, from novel quantum machine learning algorithms for biomedical data to quantum cryptographic protocols for securing medical information. …”
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Comparison of four analytic strategies for complex survey data: a case-study of Spanish data. by Mohd Masood, Tim Newton, Daniel Reidpath

“…<p>Purpose: The aim of this secondary data analysis was to investigate the effect of four different analytical strategies: Model Based Analysis (MBA), Design Based Analysis (DBA), Multilevel Model Based Analysis (MMBA), and Multilevel Design Based Analysis (MDBA), on the model estimates for complex survey data.…”
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Efficient Fault Localization in Smart Grid Through Analysis of the Wave Matrix Image Using Convolutional Neural Networks by Jose Carlos Filho, Francisco C. M. Abreu, Mauricio Silva, Fabbio Borges, Ricardo A. L. Rabelo

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Energy efficient and robust node localization in WSNs using LSTM optimized DV hop framework to mitigate multihop localization errors by Amjad Rehman, Tariq Mahmood, Tahani Jaser Alahmadi, Ahmed S. Almasoud, Tanzila Saba

“…Abstract Wireless Sensor Networks (WSNs) are distributed sensor nodes that sense data from their surroundings and relay it to a central network for processing and analysis. …”
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Global data for ecology and epidemiology: a novel algorithm for temporal Fourier processing MODIS data. by Jörn P W Scharlemann, David Benz, Simon I Hay, Bethan V Purse, Andrew J Tatem, G R William Wint, David J Rogers

“…MODIS data are composited over 8- or 16-day time intervals that pose unique problems for temporal Fourier analysis. …”
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Bayesian cohort and cross-sectional analyses of the PINCER trial: a pharmacist-led intervention to reduce medication errors in primary care. by Karla Hemming, Peter J Chilton, Richard J Lilford, Anthony Avery, Aziz Sheikh

“…This analysis suggests that the PINCER intervention is strongly effective in reducing the likelihood of one of the important errors; not necessarily effective in reducing the other errors. …”
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