Digital twins in the building sector: Implementation and key features by Lemian Diana, Bode Florin

“…Additionally, the study addresses the benefits of advanced technologies such as big data, cloud computing, artificial intelligence (AI), and the Internet of Things (IoT) in enhancing BIM capabilities and supporting data-driven decision-making. …”
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Analysis of user behavior and satisfaction under the elderly adaptation mode of an APP based on the fuzzy-IPA model by Jian Yang, Taotao Yang, Lu Li

“…Abstract With the rapid advancement of technologies like the Internet, big data, and AI, various apps have impacted the daily lives of the elderly, widening the generational “digital divide.” …”
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Using the High-Level Based Program Interface to Facilitate the Large Scale Scientific Computing by Yizi Shang, Ling Shang, Chuanchang Gao, Guiming Lu, Yuntao Ye, Dongdong Jia

“…Also, the data anticipation migration mechanism can improve the efficiency of the platform which needs to process big data based scientific applications.…”
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A Classroom Emotion Recognition Model Based on a Convolutional Neural Network Speech Emotion Algorithm by Qinying Yuan

“…In this paper, we construct a model of convolutional neural network speech emotion algorithm, analyze the classroom identified by the neural network with a certain degree of confidence together with the school used in the dataset, find the characteristics and rules of teachers’ control of classroom emotion nowadays using big data, find the parts of classroom emotion, and design a classroom emotion recognition model based on convolutional neural network speech emotion algorithm according to these characteristics. …”
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An Overview of the BALSAC Population Database. Past Developments, Current State and Future Prospects by Hélène Vézina, Jean-Sébastien Bournival

“…Future perspectives rest on the diversification of the sources of population data entered or connected to the database and, as a corollary, by continuous optimization of data processing and linkage procedures. In the era of 'big data', BALSAC is gradually moving from a historical population database to a multifaceted infrastructure for interdisciplinary research on the Quebec population. …”
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Disordered and Multiple Destinations Path Planning Methods for Mobile Robot in Dynamic Environment by Yong-feng Dong, Hong-mei Xia, Yan-cong Zhou

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Evaluating technical vocational education and training college student’s digital skills versus throughput rate by Goodwill Phezulu Mbambo, Elizabeth C. du Plessis

“…Digital skills are now characterised by globalisation, digitisation, robotics, Artificial Intelligence (AI), big data, the Internet of Things (IoT), and various other emerging technologies consuming the world. …”
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Assessing Theoretical Frameworks, Human Resources Management Implications and Emerging Technologies on the Water, Energy and Food (WEF) Nexus by Love David, Omoseni Adepoju

“…Furthermore, the study revealed the three major emerging technologies of Artificial Intelligence, Big data analytics, and Internet of Things (IoT), which are shaping the WEF nexus through innovations and shaping the nature of the nexus. …”
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The Interfaces Twitter Elections Dataset: Construction process and characteristics of big social data during the 2022 presidential elections in Brazil. by Sylvia Iasulaitis, Alan Demétrius Baria Valejo, Bruno Cardoso Greco, Vinicius Gonçalves Perillo, Guilherme Henrique Messias, Isabella Vicari, with the Interfaces—Center for Sociopolitical Studies of Algorithms and Artificial Intelligence

“…While Twitter is generally a "public" access platform and fits into big data standards, extracting valuable information is not trivial due to the volume, speed, and heterogeneity of data. …”
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Enhancing Fraud Detection in Banking With Deep Learning: Graph Neural Networks and Autoencoders for Real-Time Credit Card Fraud Prevention by Fawaz Khaled Alarfaj, Shabnam Shahzadi

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Pathways to learning in data-based policy innovation labs by Sojeong Kim, Tanya Heikkila, Adam M. Wellstead

“…We investigate the role of policy learning in “data-based” PILs, which address the growing interest in big data and advanced technologies to address public policy issues. …”
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Personalized Federated Learning Scheme for Autonomous Driving Based on Correlated Differential Privacy by Yuan Tian, Yanfeng Shi, Yue Zhang, Qikun Tian

“…In the era of big data, advanced data processing devices and smart sensors greatly benefit us in many areas. …”
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Proposal for a Sustainable Model for Integrating Robotic Process Automation and Machine Learning in Failure Prediction and Operational Efficiency in Predictive Maintenance by Leonel Patrício, Leonilde Varela, Zilda Silveira

“…Future research could explore integrating big data and AI to further improve prediction accuracy. …”
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GO Loss: A Gaussian Distribution-Based Orthogonal Decomposition Loss for Classification by Mengxin Liu, Wenyuan Tao, Xiao Zhang, Yi Chen, Jie Li, Chung-Ming Own

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Optimal investment game for two regulated players with regime switching by Lin Xu, Linlin Wang, Hao Wang, Liming Zhang

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Why is group physical activity better? Empirical Evidence from Indonesian Islamic Primary Students by Mohammad Nurkhozien, Sakban Rosidi, Agung Yuda Aswara, Adi Sucipto

“…This secondary study utilizes one of the newest collections of big data at the Center for Physical Literacy and Sports Education Studies, Postgraduate School of IKIP Budi Utomo. …”
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Insurance with telematics as an insurance market driver: regulation and prospects by A. V. Romanova, S. Yu. Shchukin, S. V. Chelokidi, N. E. Spirina

“…However, the possibilities of introducing artificial intelligence and big data (AI and DB) into the regulated sphere, which is insurance, are usually limited compared to unregulated sectors. …”
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Applications of Deep Learning in the Evaluation and Analysis of College Students’ Mental Health by Lanfeng Zhou

“…Firstly, the paper summarizes the fast intelligent analysis model based on the convolutional neural network system algorithm, classifies and summarizes the unique characteristics of college students’ mental health, and uses the convolutional neural network processing model to analyze, evaluate, and observe college students’ mental health combined with the big data theory. Secondly, through the expansion and utilization of multi-layer neuron self-coding neural network, the psychological health of college students is evaluated and analyzed in the psychological discipline, the discrete data structure is established by using the relevant psychological data, the psychological behavior of college students is analyzed, summarized, and classified, and the data model is filled to judge the mental health status of college students. …”
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A Choice Behavior Model of Bike-Sharing Based on User Perception, Psychological Expectations, and Loyalty by Xingjian Xue, Zixu Wang, Xuejiao Liu, Zhou Zhou, Rui Song

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Coverage Analysis for RIS-Assisted Two-Tier HetNets With Repulsion by Changshan Chen

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