Preface to Special Issue on AI-Based Future Intelligent Networks and Communication Security by Sunil Kumar, Glenford Mapp, Abhay Bansal, Korhan Cengiz

“…The special issue covers analytical techniques for handling the vast amount of data generated by the Internet of Things (IoT), addressing topics ranging from architectures and platforms to security and privacy issues, applications, and challenges as well as future directions. …”
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Optimizing K-Means Algorithm Using the Purity Method for Clustering Oil Palm Producing Regions by Novia Hasdyna, Rozzi Kesuma Dinata, Balqis Yafis

“…The K-Means algorithm is a fundamental tool in machine learning, widely utilized for data clustering tasks. This research aims to improve the performance of the K-Means algorithm by integrating the Purity method, specifically focusing on clustering regions renowned for oil palm production in North Aceh. …”
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Hearing the Sound of the Wave: What Impedes One’s Ability to Foresee Innovations? by Vladimir Milovidov

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Exploring Applications and Practical Examples by Streamlining Material Requirements Planning (MRP) with Python by João Reis

“…<i>Methods</i>: This article offers a twofold approach: firstly, it conducts research to uncover the potential applications of the Python code in streamlining the MRP operations, and the practical examples serve as evidence of Python’s efficacy in simplifying the MRP tasks; secondly, this article introduces a conceptual framework that showcases the Python ecosystem, highlighting libraries and structures that enable efficient data manipulation, analysis, and optimization techniques. …”
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Tank deformation analysis by combining laser scanning and photogrammetry by Ali Al-Saedi, Fanar Abed, Imzahim Alwan

“…The static nature of the system makes it necessary to use a complementary data collection technique, such as cameras, to fill the gaps, enrich density, and improve data quality. …”
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UAV-Based Phenotyping: A Non-Destructive Approach to Studying Wheat Growth Patterns for Crop Improvement and Breeding Programs by Sabahat Zahra, Henry Ruiz, Jinha Jung, Tyler Adams

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Intelligent System for Student Performance Prediction Using Machine Learning by Mustafa S. Ibrahim Alsumaidaie, Ahmed Adil Nafea, Abdulrahman Abbas Mukhlif, Ruqaiya D. Jalal, Mohammed M AL-Ani

“…This paper utilized a dataset comprising 24,000 training instances and 6,000 testing instances, applying various preprocessing techniques for data optimization. The Extra Trees algorithm achieved the highest accuracy (98.15%), followed by Random Forest (94.03%) and K-Nearest Neighbors (91.65%). …”
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Precision Soil Moisture Monitoring Through Drone-Based Hyperspectral Imaging and PCA-Driven Machine Learning by Milad Vahidi, Sanaz Shafian, William Hunter Frame

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Machine learning for diabetic foot care: accuracy trends and emerging directions in healthcare AI by Pei-Chun Lin, Pei-Chun Lin, Tsai-Chung Li, Tsai-Chung Li, Tzu-Hsuan Huang, Ying-Lin Hsu, Wen-Chao Ho, Jia-Lang Xu, Ching-Liang Hsieh, Ching-Liang Hsieh, Ching-Liang Hsieh, Zih-En Jhang

“…Future studies should aim to incorporate deep learning, genomic data, and large language models to further enhance the scope and clinical utility of diabetic foot research.…”
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Monitoring and analyzing land use changes for sustainable development in Teluk Bahang, Penang, Malaysia: a GIS-based approach by Muhammad Ryza Mohd Raffay, Milad Bagheri, Azizan Marzuki, Iraj Gholami, Muhammad Anas Khairul Anuar

“…Employing Geospatial Information System (GIS) techniques, the study analyzes land use data from 2010, 2014, and 2018 using overlay and matrix methods. …”
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Dance and Somatic-Informed Movement in an Acute Inpatient Stroke Unit by Lucie Beaudry, Céline Odier, Sylvie Fortin

“…<i>Materials and Methods:</i> This exploratory qualitative study used the enhanced critical incident technique to collect retrospective self-report data from two practitioner-researchers engaged in delivering the intervention over two months. …”
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Maximum principle preserving the unconditionally stable method for the Allen–Cahn equation with a high-order potential by Junseok Kim

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A multi-dimensional neutrosophic PESTEL approach to assessing the TEC21 educational model by Mohd Anas Wajid, Claudia Camacho-Zuñiga

“…Since the educational data mainly contains uncertain and indeterminate concepts, therefore neutrosophic sets give us a way to model uncertainty and do a comprehensive analysis of TEC21. …”
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Efficiency enhancement of energy supply chains using a machine learning-driven network evaluation framework for blockchain adoption by Ardavan Babaei, Erfan Babaee Tirkolaee, Shahryar Sorooshian, Sadia Samar Ali, Gongming Wang

“…A novel approach based on four network-based data-driven optimization models is utilized to investigate a case study in Norway's O&G sector over a five-year period (April to October 2020). …”
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Leveraging Digital Twin for operational resilience in the oil and gas industry by Giovanni Mazzuto, Ilaria Pietrangeli, Marco Ortenzi, Filippo Emanuele Ciarapica, Maurizio Bevilacqua

“…Developed within the EU- and MUR-funded RESIST project, the DT is part of a broader digital environment that includes both the plant and operator models, aimed at enhancing system resilience.A Gradient Boosted Tree algorithm, selected through comparative analysis, proved the most reliable technique for predictive modelling. …”
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Frequency Analysis of Low Flow Series from Çekerek Stream Basin by Kadri Yürekli, Ahmet Kurunç, Selçuk Gül

“…L-moment technique was used to predict the parameters of the selected distributions. …”
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Associations Between Physiological Determinants and GNSS-Derived Technical Characteristics in Cross-Country Roller Skiing by Shunya Uda, Naoto Miyamoto, Wako Kajiwara, Hiroshi Nakano, Keisuke Onodera, Ryoji Horimoto, Takato Okada, Masaki Takeda

“…This study aimed to examine how physiological determinants are associated with skiing technique and race performance in cross-country roller skiing by integrating motion data obtained via a Global Navigation Satellite System (GNSS) with laboratory-based physiological assessments. …”
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Development and validation of the VAE-NT index: a novel biomechanical parameter for distinguishing subclinical corneal abnormalities by Lanting Yang, Lanting Yang, Lanting Yang, Hui Xu, Hui Xu, Honghu Jiang, Jingyin Zhu, Shihao Chen, Shihao Chen

“…After propensity score matching (PSM), data from 53 healthy eyes and 53 VAE-NT eyes, including demographic and Corvis ST examination results, were collected. …”
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Multimodal deep learning for art behavior analysis and personalized teaching path generation by Yikun Li, Jie Shi

“…Experimental results show that the MFFN model performs excellently in technique recognition, emotion judgment, and attention detection tasks, achieving an accuracy rate of 93.7% in technique recognition. …”
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HYBRID WLS-KF APPROACH FOR REAL-TIME STATE ESTIMATION IN AUTOMATED DISTRIBUTION GRIDS by Abdulrafiu Yusuf, Olalekan Ogunbiyi, Lambe Mutalub Adesina, Bashiru Olalekan Ariyo

“…Aim/Background: The increasing complexity of modern distribution networks, particularly with the integration of Distributed Energy Resources (DERs), presents significant challenges to traditional state estimation techniques. …”
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