Predicting Flight Trajectory in Convective Weather through Boosted Spatiotemporal Deep Learning Ensemble by Xi Zhu, Ke Zhang, Zhuxi Zhang, Lifei Tan

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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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A Full Stage Data Augmentation Method in Deep Convolutional Neural Network for Natural Image Classification by Qinghe Zheng, Mingqiang Yang, Xinyu Tian, Nan Jiang, Deqiang Wang

“…Nowadays, deep learning has achieved remarkable results in many computer vision related tasks, among which the support of big data is essential. In this paper, we propose a full stage data augmentation framework to improve the accuracy of deep convolutional neural networks, which can also play the role of implicit model ensemble without introducing additional model training costs. …”
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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

“…Challenges such as initial implementation costs and the need for continuous training were also noted. Future research could explore integrating big data and AI to further improve prediction accuracy. …”
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Model of Education Program Value Increase by A. V. Garmonova, N. A. Ryakhina, E. E. Sokolova

“…The presented model shows the competitive advantages of a professional retraining education program characterized by a big concentration of resources per student and a high value of education service. …”
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A machine learning technique for optimizing load demand prediction within air conditioning systems utilizing GRU/IASO model by Meng He, Hui Wang, Myo Thwin

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Feature Selection and Parameter Optimization of Support Vector Machines Based on Modified Cat Swarm Optimization by Kuan-Cheng Lin, Yi-Hung Huang, Jason C. Hung, Yung-Tso Lin

“…Recently, applications of Internet of Things create enormous volumes of data, which are available for classification and prediction. Classification of big data needs an effective and efficient metaheuristic search algorithm to find the optimal feature subset. …”
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Neural network as a mirror of social attitudes: analysis of distortions in generative images by A. G. Tertyshnikova, U. O. Pavlova, M. D. Starovoytova

“…The aim of the research – approbation of generative artificial intelligence (hereinafter referred to as AI) as a method of sociological research of social stereotypes contained in big data. To realise this goal, the essence of AI, the legal framework of application and the spread to date are initially considered. …”
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JSTC: Travel Time Prediction with a Joint Spatial-Temporal Correlation Mechanism by Alfateh M. Tag Elsir, Alkilane Khaled, Pengfei Wang, Yanming Shen

“…Several factors, like spatial, temporal, and external, have big effects on traffic patterns, and therefore, it is important to develop a mechanism that can jointly capture correlations of these components. …”
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Feature fusion-based collaborative learning for knowledge distillation by Yiting Li, Liyuan Sun, Jianping Gou, Lan Du, Weihua Ou

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Cognitive Pragmatic Rehabilitation Program in Schizophrenia: A Single Case fMRI Study by Ilaria Gabbatore, Francesca M. Bosco, Elisabetta Geda, Luigi Gastaldo, Sergio Duca, Tommaso Costa, Bruno G. Bara, Katiuscia Sacco

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Article Title Article Title Pattern analysis using fuzzy VIKOR in locating educational facilities district Case Study: District 14 of Tehran Metropolis by behnaz amin nayeri, yaghoub peyvastehgar

“…With the increasing population in cities, particularly big cities, demand for public goods and services increased too. …”
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Prediction of Transverse Reinforcement of RC Columns Using Machine Learning Techniques by Congzhen Xiao, Baojuan Qiao, Jianhui Li, Zhiyong Yang, Jiannan Ding

“…To establish the best transverse reinforcement ratio prediction model for RC columns, based on an experimental database consisting of 498 columns, 12 machine learning (ML) models are trained. To solve the over-fitting problem caused by the current situation of “few samples and big errors” of the experimental database, feature engineering aiming at dimension reduction is systematically carried out through an iterative process. …”
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The influence of students’ intelligence types and personality traits on academic performance in distance learning in the digital environment by V. Ya. Afanasyev, N. V. Vorontsov

“…The research result was an empirical model of the intelligence types and personality traits influencing academic performance in different training forms. Therefore, as a positive factor in the transfer to distance training mode, the authors highlighted the expressiveness of students’ creative thinking. …”
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Rugularizing generalizable neural radiance field with limited-view images by Wei Sun, Ruijia Cui, Qianzhou Wang, Xianguang Kong, Yanning Zhang

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A Clonal Selection Optimization System for Multiparty Secure Computing by Minyu Shi, Yongting Zhang, Huanhuan Wang, Junfeng Hu, Xiang Wu

“…First of all, this process enhances the adaptability and robustness of the federated learning scheme and improves the modeling performance and training efficiency. Furthermore, this research attempts to improve the privacy security defense capability of the federated learning scheme for big data through differential privacy preprocessing. …”
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Analysis of Noise Pollution during Dussehra Festival in Bhubaneswar Smart City in India: A Study Using Machine Intelligence Models by Sourav Kumar Bhoi, Chittaranjan Mallick, Chitta Ranjan Mohanty, Ranjan Soumya Nayak

“…Controlling noise pollution in smart cities is a big challenge nowadays due to rise in urbanization and industrialization. …”
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Real-Time Facial Expression Recognition Based on Image Processing in Virtual Reality by Qingzhen Gong, Xuefang Liu, Yongqiang Ma

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Chatbot Programmes’ ‘Arms Race’: Africa and Artificial Intelligence (AI) Ethics by Tapiwa Chagonda

“…The ‘arms race’ to create chatbots that can rival Open AI’s ChatGPT-4.0 technology by big technology companies such as Google and Meta, is not only hastening the pace of the AI revolution but is also bringing to the fore the double-edged nature of this technology. …”
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Deep Learning and Wavelet Transform Combined With Multichannel Satellite Images for Tropical Cyclone Intensity Estimation by Chang-Jiang Zhang, Mei-Shu Chen, Lei-Ming Ma, Xiao-Qin Lu

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