Precise Crop Pest Detection Based on Co-Ordinate-Attention-Based Feature Pyramid Module by Chenrui Kang, Lin Jiao, Kang Liu, Zhigui Liu, Rujing Wang

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Methodology for predicting material performance by context-based modeling: A case study on solid amine CO2 adsorbents by Shuangjun Li, Zhixin Huang, Yuanming Li, Shuai Deng, Xiangkun Elvis Cao

“…Traditional materials informatics leverages big data and machine learning (ML) to forecast material performance based on structural features but often overlooks valuable textual information. …”
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Reduced connection strength leads to enhancement of working memory capacity in cognitive training by Guiyang Lv, Tianyong Xu, Jinhang Li, Ping Zhu, Feiyan Chen, Dongping Yang, Guoguang He

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A Novel Semi-Supervised Learning Method Based on Fast Search and Density Peaks by Fei Gao, Teng Huang, Jinping Sun, Amir Hussain, Erfu Yang, Huiyu Zhou

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Statistical Analysis of the People Fully Vaccinated against COVID-19 in Two Different Regions by Abdullah Ali H. Ahmadini, Mohammed Elgarhy, A. W. Shawki, Hanan Baaqeel, Omar Bazighifan

“…It is constantly of interest in the field of big data science and other related disciplines to provide the best analysis and modeling of COVID-19 data. …”
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Factors influencing perceived value and revisit intention among Vietnamese restaurant consumers by Thi Mai Le, Bao Trung Phan, Viet Trung Dang, Thi Thuy Anh Tran

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Metadag: a web tool to generate and analyse metabolic networks by Pere Palmer-Rodríguez, Ricardo Alberich, Mariana Reyes-Prieto, José A. Castro, Mercè Llabrés

“…Abstract Background MetaDAG is a web-based tool developed to address challenges posed by big data from omics technologies, particularly in metabolic network reconstruction and analysis. …”
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Street Quality Measurement and Accessibility Analysis Based on Streetscape Data: The Case of Mingcheng District in Xi’an City by Wenting Zhang, Jiajing Chen, Yixin Tian

“…Grounded in the community renewal strategy of the study area, this study investigates the practical integration of urban public space quality improvements and streetscape big data analytics. The methodology employed systematically evaluates the spatial quality of streets in Mingcheng District, offering foundational data and technical support for urban planning and renewal initiatives while contributing valuable insights to urban renewal scholarship.…”
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Contemporary digital sociology in search of meaning-making models: the proper and the actual. Review on articles from the research handbook of digital sociology edited by J. Skopek... by E. V. Andrianova, V. A. Davydenko, A. I. Rozmanov

“…The first part of this review presents the key ideas of 15 chapters, focusing on the foundational components of social  theory and their connections to the internet in daily life, digital  technologies for surveys and data processing, the significance  of mobile devices, big data, machine learning, agent-based  models of social phenomena, inclusive digital focus groups, social networking sites in professional contexts, online dating, partner selection based on digital information, the use of digital approaches in online markets, the application of YouTube in social sciences, and automated image analysis. …”
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Long-term Air Pollution Exposure Impact on COVID-19 Morbidity in China by Yihan Wu, Qingming Zhan, Qunshan Zhao

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The theoretical cognition and research paradigm of land system science by LONG Hualou, CHEN Kunqiu, ZHENG Yuhan, ZHANG Yingnan

“…The research paradigm of land system science has gradually transformed from knowledge and phenomenon description to the simulation and prediction of complex land systems, which emphasizes the integration of multidisciplinary theories and methods as well as understanding the local-distant coupled interactions of land systems based on the integrated multiscale analysis of expanding boundaries, and focuses on the construction of large-scale quantitative land system models to provide comprehensive and dynamic integrated analysis, prediction and simulation of its dynamic mechanisms, integrated effects and future scenarios and risks, and appeals for an opening scientific collaboration in the era of big data.…”
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Sufficient conditions for the existence of path-factors with given properties by Hui Qin, Guowei Dai, Yuan Chen, Ting Jin, Yuan Yuan

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Understanding the Operational Efficiency of Bicycle-Sharing Based on the Influencing Factor Analyses: A Case Study in Nanjing, China by Beibei Hu, Yunfeng Gao, Jiechen Yan, Yue Sun, Yang Ding, Ji Bian, Xianlei Dong, Huijun Sun

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A Metaheuristic Approach to Detecting and Mitigating DDoS Attacks in Blockchain-Integrated Deep Learning Models for IoT Applications by Manal Alkhammash

“…Machine Learning (ML) provides broad sovereignty in the study of big data, and abilities of decision making and so it is employed as a critical device. …”
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Uso de deep learning para a construção de um modelo de recuperação da informação aplicado para o setor de mineração no Brasil by Luander Cipriano de Jesus Falcão, Brenner Lopes, Renato Rocha Souza, Ricardo Rodrigues Barbosa

“…Diante do crescimento exponencial de dados e informações, proporcionado por sensores e mídias sociais, um ecossistema composto por novas infraestruturas de armazenamento e processamento, denominado Big Data, foi desenvolvido. Todo esse desenvolvimento redundou em uma nova área do conhecimento, denominada Ciência de Dados. …”
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An Integrated Consensus Improving Strategy Based on PL-Wasserstein Distance and Its Application in the Evaluation of Network Public Opinion Emergencies by Shitao Zhang, Zhenzhen Ma, Xiaodi Liu, Zhiying Wang, Lihui Jiang

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Data-Driven Technologies for Energy Optimization in Smart Buildings: A Scoping Review by Joy Dalmacio Billanes, Zheng Grace Ma, Bo Nørregaard Jørgensen

“…The key technologies identified included big data analytics, Artificial Intelligence, Machine Learning, the Internet of Things, Wireless Sensor Networks, Edge and Cloud Computing, Blockchain, Digital Twins, and Geographic Information Systems. …”
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DualCFGL: dual-channel fusion global and local features for sequential recommendation by Shuxu Chen, Yuanyuan Liu, Chao Che, Ziqi Wei, Zhaoqian Zhong

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Technology Topic Identification and Trend Prediction of New Energy Vehicle Using LDA Modeling by Renjie Hu, Wencong Ma, Weiqiang Lin, Xiude Chen, Zuchang Zhong, Chuhong Zeng

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Review of privacy computing techniques for multi-party data fusion analysis by LIU Shenglong, HUANG Xiuli, JIANG Yiwen, JIANG Jiawei, TIAN Yuechi, ZHOU Zejun, NIU Ben

“…In the data era, threats to personal privacy information in ubiquitous sharing environments are widespread, such as apps frequently collecting personal information beyond scope, and big data-enabled price discrimination against frequent customers. …”
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