Multi-dimensional research impact assessment through bibliometrics, altmetrics, semantometrics, and webometrics by Ahmed Al Marouf, Tanvir C Turin

“… Research impact assessment (RIA) has emerged as a critical approach for evaluating the societal, academic, and policy-related influence of scholarly work, particularly within the evolving landscape of Open Science. …”
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A Supervised Approach for Land Use Identification in Trento Using Mobile Phone Data as an Alternative to Unsupervised Clustering Techniques by Manuel Mendoza-Hurtado, Gonzalo Cerruela-García, Domingo Ortiz-Boyer

“…By analyzing spatiotemporal patterns in CDRs, we trained and evaluated several classification algorithms, including k-nearest neighbors (kNN), support vector machines (SVM), and random forests (RF), to map land use categories, such as home, work, and forest. …”
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Simulating Daily Large Fire Spread Events in the Northern Front Range, Colorado, USA by Matthew P. Thompson, Dung Nguyen, Christopher J. Moran, Joe Scott, Yu Wei, Bryce Young

“…Simulation results generally showed strong alignment with historical patterns of daily growth and the proportion of cumulative area burned in the western US and identified hotspots of high ESE potential. …”
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Terrain and Atmosphere Classification Framework on Satellite Data Through Attentional Feature Fusion Network by Antoni Jaszcz, Dawid Połap

“…Analyzing image elements by classifying the given classes is important for obtaining information about space for autonomous systems, identifying landscape elements, or monitoring and maintaining the infrastructure and environment. …”
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Antimicrobial Management of Urinary Tract Infections: Insights from a Tertiary Care Hospital in Oman by Pranjal N. Chhajlani, Hemant Hardikar

“…With limited access to minimum inhibitory concentration results and culture sensitivity tests during the initial patient visit, physicians prescribing first-line treatments for suspected cases of resistance must carefully evaluate clinical presentation, patient history, and local resistance patterns. …”
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An explainable feature selection framework for web phishing detection with machine learning by Sakib Shahriar Shafin

“…In the evolving landscape of cyber threats, phishing attacks pose significant challenges, particularly through deceptive webpages designed to extract sensitive information under the guise of legitimacy. …”
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Intelligent Environmental Health Risk Assessment System for the Elderly in Cold Regions Based on Artificial Intelligence Integrated Development Environment by Tianheng ZHANG, Yao FU, Jian GAO, Huanran XUE

“…The research addresses the unique challenges faced by the elderly in cold regions, where prolonged low temperatures significantly impact cardiovascular health and outdoor activity patterns, creating special health management challenges for this vulnerable population. …”
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Unlocking the black box beyond Bayesian global optimization for materials design using reinforcement learning by Yuehui Xian, Xiangdong Ding, Xue Jiang, Yumei Zhou, Jun Sun, Dezhen Xue, Turab Lookman

“…This approach demonstrates better performance in high-dimensional spaces (D ≥ 6) compared to Bayesian optimization (BO) with the Expected Improvement (EI) acquisition function through more dispersed sampling patterns and better landscape learning capabilities. …”
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Analysis and Quantification of Demand Flexibility for Resilient Distribution Networks: A Systematic Review by Mohamed Massaoudi, Katherine R. Davis, Khandaker Akramul Haque

“…Modern power systems face increasing operational challenges due to the integration of renewable energy sources (RESs) and evolving demand patterns. Demand flexibility (DF) has emerged as a transformative solution by dynamically adjusting electricity consumption to align with grid conditions. …”
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Data quality and uncertainty issues in flood prediction: a systematic review by Jinhui Yu, Yichen Li, Xiao Huang, Xinyue Ye

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Impact of urbanization on hydrological balance in urban lakes: a case study of Dianchi Lake by Chen Chen, Mowen Xie, Yan Du, Beining Jia

“…Abstract Urbanization can significantly transform land-cover patterns and modify lacustrine landscapes within urban lake watersheds over relatively short periods. …”
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Comparative environmental disclosure practices: evidence from the UK and the USA by Araya Eakpisankit, Kashan Pirzada

“…They illustrate how multinational corporations navigate regulatory changes and prepare for new standards, offering a valuable perspective for evaluating corporate environmental accountability. This study underscores the continuing relevance of legitimacy theory and calls for further research into the drivers of voluntary sustainability reporting in a shifting regulatory landscape.…”
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Prediction of transposable element derived enhancers using chromatin modification profiles. by Ahsan Huda, Eishita Tyagi, Leonardo Mariño-Ramírez, Nathan J Bowen, Daudi Jjingo, I King Jordan

“…Experimentally characterized enhancer regions have previously been shown to display specific patterns of enrichment for several different histone modifications. …”
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From Global to Local: Testing the UNEP Environmental Vulnerability Index in a Coastal Korea Context by SaMin Han

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An Adaptive Intrusion Detection System for Evolving IoT Threats: An Autoencoder-FNN Fusion by J. Jasmine Shirley, M. Priya

“…The Autoencoder captures and reduces the dimensionality of high-dimensional IoT network traffic data, and the FNN distinguishes between normal network behaviour and various intrusion patterns by leveraging its ability to model nonlinear relationships. …”
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Prognostic and therapeutic potential of disulfidptosis-related genes in colon adenocarcinoma: a comprehensive multi-omics study by Ye Song, Haoran Zhu, Junyang Wei, Shanxue Yin

“…This study systematically evaluates their prognostic significance and explores their potential for therapeutic intervention in colon adenocarcinoma. …”
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Identification of cell adhesion related signature for molecular subtyping and prognostic prediction in acute myeloid leukemia by Caifang Zhao, Xiang Weng, Wei He

“…Methods AML patients were grouped into distinct molecular subtypes based on the expression patterns of cell adhesion-related genes. Enrichment analyses were subsequently performed to identify associated biological pathways. …”
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Enhancing Mobile App Recommendations With Crowdsourced Educational Data Using Machine Learning and Deep Learning by Naadiya Mirbahar, Kamlesh Kumar, Asif Ali Laghari

“…The objective of this study is to recommend apps to university students by category based on app usage patterns. Data was used to evaluate these 806 university students to train the Collaborative Filtering (CF) and Contemporary Deep Learning (DL) models. …”
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Deciphering Car Crash Dynamics in Greater Melbourne: a Multi-Model Machine Learning and Geospatial Analysis by Christopher JOHNSON, ZHOU Heng, Richard TAY, SUN Qian(Chayn)

“…In the continually evolving landscape of data-driven methodologies addressing car crash patterns, a holistic analysis remains critical to decode the complex nuances of this phenomenon. …”
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Systematic Approach for Malware Detection in IoT Devices: Enhancing Security and Performance by Vasudeva Pai, B. H. Karthik Pai, G. S. Sudhiksha, Vandya Kamath, K. Varsha, S. Manjunatha

“…Using the IoT23 dataset, which contains a wide range of network traffic patterns from various IoT devices and malware families, the research explores and evaluates multiple machine learning techniques. …”
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