Neural Network-Based Analysis of Flame States in Pulverised Coal and Biomass Co-Combustion by Żaklin Grądz, Waldemar Wójcik, Baglan Imanbek, Bakhyt Yeraliyeva

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Requirements for developing the roles of information specialists in public libraries in light of the transformation of the knowledge economy to achieve the goals of sustainable dev... by عاليه الهيف

“…There is also a need for more interest in offering non-stereotypical and continuous training related to “advanced programming skills”, “database and management skills”, “the ability to deal with artificial intelligence techniques ,use modern technologies , analyzing and producing systems for dealing with big data". The study recommended raising awareness of sustainable development for library workers so that libraries begin to be effective towards achieving the goals, while clarifying the role of libraries, including public libraries, in the sustainable development plan and directing the attention of those responsible for libraries to the pivotal role it plays. …”
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Enhanced cloud removal via temporal U-Net and cloud cover evolution simulation by Qingwei Tong, Leiguang Wang, Qinling Dai, Chen Zheng, Fangrong Zhou

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Role of artificial intelligence in smart grid – a mini review by M. Balamurugan, Kamala Narayanan, N. Raghu, G. B. Arjun Kumar, V. N. Trupti

“…The development of appropriate infrastructure resources, including big data, cloud computing, and other collaboration platforms, must be enhanced for this type of operation. …”
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An Active Learning Approach with Uncertainty, Representativeness, and Diversity by Tianxu He, Shukui Zhang, Jie Xin, Pengpeng Zhao, Jian Wu, Xuefeng Xian, Chunhua Li, Zhiming Cui

“…Big data from the Internet of Things may create big challenge for data classification. …”
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A Fully Automated Adjustment of Ensemble Methods in Machine Learning for Modeling Complex Real Estate Systems by José-Luis Alfaro-Navarro, Emilio L. Cano, Esteban Alfaro-Cortés, Noelia García, Matías Gámez, Beatriz Larraz

“…The greater availability of information related to housing stock has prompted to the use of so-called big data and machine learning in the estimation of property prices. …”
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Anomaly Detection and Root Cause Analysis for Energy Consumption of Medium and Heavy Plate: A Novel Method Based on Bayesian Neural Network with Adam Variational Inference by Qiang Guo, Fenghe Li, Hengwen Liu, Jin Guo

“…This paper proposes a comprehensive diagnostic framework for detecting anomalies, conducting causal analysis, and tracing root causes of energy consumption in medium and heavy plate manufacturing, integrating process mechanisms, expert knowledge, and industrial big data. First, a two-stage anomaly detection method based on box plot analysis is developed to identify energy consumption irregularities. …”
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Log-Driven Behavior Discrimination of Process Robots Using Entropy Similarity by Lu Li, Huan Fang

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Impacts and challenges of industry 4.0 in manufacturing: a systematic literature review by Tamires Fernanda Barbosa Nunes, Roselaine Ruviaro Zanini, Ariane Ferreira Porto Rosa, Lizandra Garcia Lupi Vergara

“…The digital transformation proposed by Industry 4.0 is driven by intelligent manufacturing processes, digitalization, flexibility, integration of systems, and real-time analysis of big data generating intelligent processes and services oriented to customer needs. …”
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Mitigating GNSS Multipath Effects Using XGBoost Integrated Classifier Based on Consistency Checks by Dengao Li, Xiaoli Ma, Jumin Zhao, Fanming Wu

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Predicting the Compressive Strength of Recycled Concrete Using Ensemble Learning Model by Binghao Pan, Wensheng Liu, Pan Zhou, Dapeng Oliver Wu

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DU Pont System Analysis in Measuring Financial Performance of Mice Industry Companies in Indonesia (A Case Study on PT Dyandra Media International Tbk for the 2019-2023 Period) by Vania Yumna Ardita, Zulfa Irawati

“…The study suggests that future research could compare the company's performance with competitors in the MICE or tourism sectors and explore external factors through advanced methods such as big data analytics or qualitative approaches. …”
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Retracted: Face Recognition Attendance System Based on Real-Time Video Processing by Hao Yang, Xiaofeng Han

“…With the advent of the era of big data in the world and the commercial value of face recognition technology, the prospects for face recognition technology are very bright and have great market demand. …”
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Dual Attention Dual-Resolution Networks for Real-Time Semantic Segmentation of Street Scenes by Baofeng Ye, Renzheng Xue

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Graph Convolutional Network with Neural Collaborative Filtering for Predicting miRNA-Disease Association by Jihwan Ha

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Twenty-Five Years of Evolution and Hurdles in Electronic Health Records and Interoperability in Medical Research: Comprehensive Review by Yun Shen, Jiamin Yu, Jian Zhou, Gang Hu

“…From early documentation practices to the sophisticated use of artificial intelligence and big data analytics today, EHRs have become central to improving patient care, enhancing public health surveillance, and advancing medical research.…”
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Advancing the development of real-world data for healthcare research in China: challenges and opportunities by Jun Zhang, Eric Wu, Jia Zhong, Honghao Fang, Larry Liu, Jipan Xie

“…A workshop with 30 representatives from healthcare research agencies, technology companies focused on healthcare big data and pharmaceutical companies was held in December 2020 to identify strategies to overcome the barriers associated with the usability and quality of RWD in China. …”
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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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Identification of Working Trucks and Critical Path Nodes for Construction Waste Transportation Based on Electric Waybills: A Case Study of Shenzhen, China by Jun Bi, Qiuyue Sai, Fujun Wang, Yakun Chen

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A Hybrid Model for Prediction in Asphalt Pavement Performance Based on Support Vector Machine and Grey Relation Analysis by Xuancang Wang, Jing Zhao, Qiqi Li, Naren Fang, Peicheng Wang, Longting Ding, Shanqiang Li

“…Pavement performance prediction is a crucial issue in big data maintenance. This paper develops a hybrid grey relation analysis (GRA) and support vector machine regression (SVR) technique to predict pavement performance. …”
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