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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UJI Probes Revisited: Deeper Dive Into the Dataset of Wi-Fi Probe Requests by Tomas Bravenec, Joaquin Torres-Sospedra, Michael Gould, Tomas Fryza

“…Furthermore, we demonstrate a range of potential applications for this dataset, including but not limited to presence detection, expanded assessment of temporal received signal strength indicator stability, and evaluation of privacy protection measures. Apart from these, we also include temporal analysis of probe request transmission frequency and period between Wi-Fi scans as well as a peak into possibilities with pattern analysis.…”
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Research Trends in the Field of Participatory Governance: Drawing a Map of Co-occurrence and Co-word Analysis by Seyed Mohsen Mirbagheri, Seyed Mostafa Jalili

“…A temporal analysis of keyword co-occurrence patterns reveals a paradigm shift: from micro-level discussions centered around entities like companies and organizations in the years preceding 2010, to macro-level discourse focusing on broader themes like governance and politics as we approach 2022. …”
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Bridging the Digital Divide in Mexico: A Critical Analysis of Telecommunications Infrastructure and Predictive Models for Policy Innovation by Carolina Del-Valle-Soto, Ramon A. Briseño, Juan-Carlos López-Pimentel, Ramiro Velázquez, Leonardo J. Valdivia, José Varela-Aldás

“…This work presents an in-depth evaluation of the telecommunications landscape in Mexico from 2015 to 2023. …”
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Criminal emotion detection framework using convolutional neural network for public safety by Jay Raval, Nilesh Kumar Jadav, Sudeep Tanwar, Giovanni Pau, Fayez Alqahtani, Amr Tolba

“…In this paper, we proposed a collaborative approach to detect crime patterns and criminal emotions with the aim of enhancing judiciary decision-making. …”
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The rise of exosome-mediated mechanisms in MSC therapy by Weihua Liu, Sheng Chen, Yuan Wang, Wei Gong

“…Conclusion This bibliometric study provides a comprehensive overview of the evolving landscape of MSC research in GVHD. The findings highlight significant global trends and collaboration patterns that can inform both future basic research and clinical translation. …”
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Perceived impacts of North Americas first de-medicalized safer supply program by Jeremy Kalicum, Eris Nyx, Mary Clare Kennedy, Thomas Kerr

“…Abstract Background The Drug User Liberation Front led an evaluation of a non-medicalized model of safer supply known as a “Compassion Club.” …”
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Glasswort as a Strategic Crop in Coastal Wetlands: Intercropping Results with Swiss Chard by Anna Rita Bernadette Cammerino, Michela Ingaramo, Vincenzo Rizzi, Maurizio Gioiosa, Massimo Monteleone

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Resilience evolution and optimization strategies of ecological networks in the Three Gorges Reservoir Area: A scenario-based simulation approach by Haohua Wang, Lulu Zhou, Kangchuan Su, Yun Zhou, Qingyuan Yang

“…This study establishes an EN evaluation framework for regions with complex human-land relationships, contributing by: (1) providing empirical evidence for ecological governance and sustainable development in the TGRA; (2) offering a scientific reference for optimizing ecological security patterns; (3) developing dynamic assessment methods with transferable value, thereby providing methodological guidance for EN construction and resilience assessment in similar regions.…”
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Analysis of global stock market development-Integration of clustering, classification, and shapley values. by Marcin Stawarz

“…This study aims to analyze the development of global stock exchanges by integrating clustering, classification, and Shapley Values to identify growth patterns and understand the differences in market characteristics and dynamics. …”
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Soil preferential flow dynamics in the southern drylands of India—a watershed based approach by Pushpanjali, K. S. Reddy, Ashish S. Dhimate, K. Karthikeyan, Josily Samuel, A. G. K. Reddy, N. Ravi Kumar, K. V. Rao, Prabhat Kumar Pankaj, Jagriti Rohit, Manoranjan Kumar, V. K. Singh

“…Soil preferential flow has become increasingly important in the face of changing climates, erratic rainfall patterns, and for effective rainwater management. In semi-arid regions, watersheds serve as fundamental hydrologic units, providing a holistic perspective for the study of soil preferential flow. …”
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Optimizing spatial accessibility and equity of hierarchical older adult care facilities using a multi-modal two-step floating catchment area method: a case study of Lin'an District... by Mengxia Gu, Shangbo Li, Guoquan Zheng

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Neuromodulation Interventions for Language Deficits in Alzheimer’s Disease: Update on Current Practice and Future Developments by Fei Chen, Yuyan Nie, Chen Kuang

“…Key indicators such as publication trends, citation patterns, collaboration networks, and research themes were examined to map the intellectual landscape of this field. …”
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Green Infrastructure for Urban Flooding: Knowledge Domains and Research Evolution (2015–2024) by Jin-Pyo Kim, Jin-Oh Kim

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Life Cycle Sustainability Assessment of Buildings: A Scientometric Analysis by Ieva Poderytė, Nerija Banaitienė, Audrius Banaitis

“…The analysis identifies key research trends, conceptual developments, influential academic sources, and collaboration patterns at the country level. The findings reveal a multi-faceted research landscape characterized by a predominance of environmental assessments, increasing attention to economic and social dimensions, the development of BIM-related methodologies, and emerging trend towards dynamic LCSA. …”
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Coastal Storm – Surge Combination Risk Identification and Resilience Planning Based on Supply and Demand Assessment of Flood Regulation Ecosystem Services: A Case Study of Fujian D... by Jian TIAN, Tianyu XIU, Suiping ZENG

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Prognostic risk modeling of endometrial cancer using programmed cell death-related genes: a comprehensive machine learning approach by Tianshu Chen, Yuhan Yang, Zhizhong Huang, Feng Pan, Zhendi Xiao, Kunxue Gong, Wenguang Huang, Liu Xu, Xueqin Liu, Caiyun Fang

“…Key methodologies included differential gene expression analysis, weighted gene co-expression network analysis, functional enrichment studies, immune landscape evaluation, and multi-dimensional risk stratification. …”
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Radio Spectrum Sensing Framework for Large-Scale, High-Density IoT Sensor Networks by Partemie-Marian Mutescu, Alexandru Lavric, Adrian-Ioan Petrariu, Alin-Mihai Cailean, Valentin Popa

“…This paper presents an Artificial Intelligence (AI) based spectrum sensing framework designed to detect and classify various IoT communication technologies and generate advanced communication channel analytics, such as the technology in use, central frequency and the bandwidth of the radio channel, time-on-air parameter, channel usage patterns, and radio spectrum occupancy degree. In contrast to most existing other methods, the proposed framework follows an end-to-end approach that integrates dataset design, AI model training, and inference evaluation using IoT sensors controlled by a traffic orchestrator that emulates a large-scale, high-density WSN architecture. …”
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Interlaboratory variability of HER2 fluorescence in situ hybridization testing in breast cancer: results of a multicenter proficiency-testing ring study in China by Rongxue Peng, Kuo Zhang, Guigao Lin, Jinming Li

“…Methods A total of ten samples, each exhibiting distinct HER2 signal patterns and genetic heterogeneity, were distributed to 169 laboratories for HER2 FISH analysis. …”
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Predicting future brand value: The role of machine learning monitoring by Ahmad Al Adwan, Ghaiath Altrjman, Lu’ay Al-Mu’ani

“…These findings demonstrate the effectiveness of machine learning in identifying predictive patterns relevant to brand performance and provide a practical framework for leveraging digital tools to enhance brand valuation strategies. …”
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