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

“…They offer insights into the current knowledge landscape and assist in steering future scientific inquiries. …”
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Real-time mobile broadband quality of service prediction using AI-driven customer-centric approach by Ayokunle A. Akinlabi, Folasade M. Dahunsi, Jide J. Popoola, Lawrence B. Okegbemi

“…Three (3) classification algorithms including Random Forest (RF), Support Vector Machine (SVM) and Extreme Gradient Boosting (XGBoost) were trained using the QoS dataset and then evaluated in order to determine the most effective model based on certain evaluation metrics – accuracy, precision, F1-Score and recall. …”
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A random-forest-derived 35-year snow phenology record reveals climate trends in the Yukon River Basin by C. G. Pan, K. Lasko, S. P. Griffin, J. S. Kimball, J. Du, T. G. Meehan, P. B. Kirchner

“…This approach successfully mapped snow phenology across the diverse YRB landscape, providing valuable insight into how variations in snow cover align with regional climate patterns. …”
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Analysis of Spatial and Driving Factors of National Sanitary Resources in China Using GIS by Yujia Deng, Lixia Feng, Jeremy Cenci, Jiazhen Zhang, Jun Cai

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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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Emotion-Aware Ensemble Learning (EAEL): Revolutionizing Mental Health Diagnosis of Corporate Professionals via Intelligent Integration of Multi-Modal Data Sources and Ensemble Tech... by Gaurav Yadav, Mohammad Ubaidullah Bokhari, Saleh I. Alzahrani, Shadab Alam, Mohammed Shuaib

“…EAEL integrates machine learning and deep learning paradigms to process multimodal data, including facial expression analysis and typing pattern recognition, offering a holistic evaluation of emotional well-being. …”
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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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Spatiotemporal evolution and multi-scenario simulation of the land-use cover change and habitat quality in arid and semi-arid areas: a case study of the urban agglomeration along t... by Tianle Ma, Wenhao Cheng, Wenxuan Yao

“…Multi-scenario methods and environmental simulation models were integrated in this study, enabling a more accurate assessment of the landscape spatiotemporal pattern. This approach provides decision-making insights and multiple perspectives for spatial planning under different developmental goal orientations.…”
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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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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

“…The proposed framework is evaluated with different evaluation metrics, such as training accuracy, loss, optimizer performance, precision-recall curve, model complexity, training time, and inference time. …”
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Spatial–Temporal Evolution of Ecological Network Structure During 1967–2021 in Yongding River Floodplain by Junyi Su, Minghao Wu, Zhicheng Liu

“…Using the Yongding River floodplain as a case study, this study applied morphological spatial pattern analysis, landscape connectivity metrics, and biodiversity assessments to identify core ecological source areas. …”
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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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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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Spatial assessment of current and future migration in response to climate risks in Ghana and Nigeria by Alina Schürmann, Mike Teucher, Janina Kleemann, Justice Nana Inkoom, Benjamin Kofi Nyarko, Appollonia Aimiosino Okhimamhe, Christopher Conrad

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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

“…By enhancing our understanding of soil–water dynamics and flow patterns within the soil profile, this research contributes to the development of effective water management strategies in such areas.…”
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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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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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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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