Implementation of Human Resource Development Strategies in Improving Employee Motivation and Work Effectiveness by Emilia Ainur, Ujang Syahrul Mubarrok

“…The results showed that the human resource development strategies implemented by CV Medali Mas, such as technical training, soft skills development, and performance awards succeeded in increasing employee motivation. …”
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AI-NAOS: an AI-based nonspherical aerosol optical scheme for the chemical weather model GRAPES_Meso5.1/CUACE by X. Wang, L. Bi, H. Wang, Y. Wang, W. Han, X. Shen, X. Zhang

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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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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

“…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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The new technologies and labor market in Romania / Noile tehnologii și piața muncii în România by MARINESCU Gabriela

“…Where education goes headed for the training of specialists in new fields? ; bring into view big issues that cannot be ignored. …”
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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

“…The study recommended quantification of the theories, training on nexus thinking of the current human resource in the WEF sectors, and capital investment on emerging technologies in the WEF nexus. …”
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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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The analysis of dance teaching system in deep residual network fusing gated recurrent unit based on artificial intelligence by Mengying Li

“…The study develops a dance action recognition and feedback model based on the Graph Attention Mechanism (GA) and Bidirectional Gated Recurrent Unit (3D-Resnet-BigRu). In this model, time series features are captured using BiGRU after 3D-ResNet is inserted to extract video features. …”
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APPLICATION OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN ACADEMIC LIBRARIES by Adedeji Daniel GBADEBO

“…To educate librarians for the changing demands of a data-driven environment, this emphasizes the significance of ongoing professional growth as well as the integration of AI and ML in educational and training programs. To enhance librarians' comprehension and perspectives on AI and ML applications, the study emphasizes on the necessity of pre-service and in-service training. …”
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Adaptive Tip Selection for DAG-Shard-Based Federated Learning with High Concurrency and Fairness by Ruiqi Xiao, Yun Cao, Bin Xia

“…To cope with the challenges posed by high-concurrency training tasks involving large models and big data, Directed Acyclic Graph (DAG) and shard were proposed as alternatives to blockchain-based federated learning, aiming to enhance training concurrency. …”
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Innovative assessment based on multimedia proofs and social network sharing for introductory engineering courses by Antonio Correcher, Carlos Ricolfe-Viala, Eugenio Ivorra, Fernando Cordero, Carlos Blanes, Jaime Martínez-Turégano

“…Training and education quality are crucial worldwide even more in the area of technical vocation. …”
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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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