Analysis of WRF Model Performance over Subtropical Region of Delhi, India by Manju Mohan, Shweta Bhati

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Exploring the Applications of Artificial Intelligence in Marketing: A Topic Modelling Analysis by Paulo Rita, Wajdy Omran, Ricardo F. Ramos, Tânia Costa

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A Study of Load Characteristics Analysis and Prediction of Urban Power Grids by Zhang Yi

“…First, this paper analyzes the load characteristics of urban power grids, including the effects of seasonal changes, daily changes, business days, and non-working days. Second, a load forecasting model is built using time series analysis, regression analysis, and machine learning. …”
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BONE MARROW ASPIRATION: COST ANALYSIS OVER 12 YEARS IN BRAZIL by RC Venâncio, JISD Gomes, AEO Rego, JEB Silva, PRC Passos, JVC Goes, MFD Nascimento, GM Penha, CCV Costa, EBS Martins

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On statistical analysis of topological indices and heat of formation for titanium diboride network by Rashad Ismail, Rimsha Saher, Muhammad Farhan Hanif, Muhammad Faisal Hanif, Muhammad Kamran Siddiqui, Samuel Asefa Fufa

“…Abstract This study presents a comprehensive statistical analysis of various topological indices in relation to the heat of formation for the Titanium Diboride $$(TiB_2)$$ network. …”
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Upstreamness and downstreamness in input–output analysis from local and aggregate information by Silvia Bartolucci, Fabio Caccioli, Francesco Caravelli, Pierpaolo Vivo

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The application of artificial intelligence in insomnia, anxiety, and depression: A bibliometric analysis by Enshi Lu, Di Zhang, Mingguang Han, Shihua Wang, Liyun He

“…Objective This study aims to systematically review the application of AI in addressing insomnia, anxiety, and depression, identifying key research hotspots, and forecasting future trends through bibliometric analysis. …”
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Air Temperature Variations Analysis of the Hualian M6.9 Earthquake by Xian Lu, Qingyan Meng, Weiyu Ma, Xiaodong Zhang

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Unveiling Multistability in Urban Traffic Through Percolation Theory and Network Analysis by Rui Chen, Jiazhen Liu, Yong Li, Yuming Lin

“…These findings offer the first large-scale empirical evidence of multistability in urban traffic, laying a quantitative foundation for forecasting phase transitions in congestion and informing more effective traffic management strategies.…”
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A Machine Learning Approach for User Behavior Analysis in Developing Websites by Aeesha Shaheen

“…The results indicate that average prediction accuracy based on test result be 75%. When analysis significance functions, pages stand out have significant impact on predict user behavior. …”
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Features of Ensuring Regional Security in Central Asia: An Analysis of the Geopolitical Situation by Nurgul Akkozhina

“…To address the research objectives, various methods of cognition were employed, including historical, structural and functional, institutional, comparative, forecasting, political and legal analysis, classification, analogy, abstraction, analysis, and generalisation. …”
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System for the Acquisition and Analysis of Maintenance Data of Railway Traffic Control Devices by Mieczysław Kornaszewski, Waldemar Nowakowski, Roman Pniewski

“…To support this, a service data acquisition and analysis system for railway traffic control devices (SADEK) was developed. …”
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Analysis of factors influencing innovation of Hungarian small and medium-sized enterprises by Peter Karácsony, Alexander Tsoy, Janos Meszaros, Kuralay Nurgaliyeva

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Explainable AI for time series prediction in economic mental health analysis by Ying Yang, Ying Yang, Lifen Wen, Li Li

“…IntroductionThe integration of Explainable Artificial Intelligence (XAI) into time series prediction plays a pivotal role in advancing economic mental health analysis, ensuring both transparency and interpretability in predictive models. …”
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Machine Learning Methods for Predicting Cardiovascular Diseases: A Comparative Analysis by Aiym B. Temirbayeva, Arshyn Altybay

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Deep Learning-Based Sentiment Analysis Using Gated Recurrent Unit by Najeem Olawale Adelakun, Mariam Adenike Lasisi

“…This study addresses this challenge by employing a deep learning-based approach using Gated Recurrent Units (GRU) for sentiment analysis, thereby enhancing the accuracy of financial market predictions. …”
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Analysis for the results of geomagnetic storms measured by Macau Science Satellite-1 by HaiSheng Ji, Dong Li, HongBo Yao, JianPing Li, YanJie Zhang

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Statistical Analysis of the Socio-Economic Situation in St. Petersburg in the Context of Crises by M. P. Dekina, D. S. Goncharov, M. A. Naumenko, S. A. Chernova

“…Statistical methods make it possible to quantify the current situation, identify the impact of crisis phenomena and forecast the development of the region. In the analysis of socio-economic development, both economic characteristics (GDP, production and distribution) and direct indicators of the standard of living of the population (unemployment level, personal income and wages) are the key ones. …”
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Analysis of planetary boundary layer characteristics of sandstorm based on vertical observation by Leer Bao, Jiaqi Yang, Nan Xiao

“…The results of the study will help to improve the understanding of sandstorms, provide a scientific basis for their monitoring, forecasting and prevention, and support the development of effective environmental management and mitigation strategies.…”
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Deep Learning in Power Systems: A Bibliometric Analysis and Future Trends by Seyed Mahdi Miraftabzadeh, Andrea Di Martino, Michela Longo, Dario Zaninelli

“…Keyword trends show traditional deep learning techniques like LSTMs and CNNs are widely used in power systems, while newer methods like advanced reinforcement learning, graph neural networks, and physics-informed neural networks are emerging, promising advancements in optimal power flow, V2G integrations, and grid resilience. Further analysis highlights ubiquitous deep learning applications like load forecasting and power quality analysis in power systems. …”
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