A dataset from the Cryptogamia-Lichenes section of the Herbarium Universitatis Taurinensis (TO) by Rosanna Piervittori, Deborah Isocrono, Enrica Matteucci, Mariagrazia Morando, Luca Dessì, Laura Guglielmone, Heimo Rainer, Stefano Martellos, Andrea Moro, Pier Luigi Nimis, Matteo Conti, Sergio Enrico Favero-Longo

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Artificial intelligence in dentistry—A review by Hao Ding, Jiamin Wu, Wuyuan Zhao, Jukka P. Matinlinna, Jukka P. Matinlinna, Michael F. Burrow, James K. H. Tsoi

“…Owing to the rapid development of three cornerstones of current AI technology—big data (coming through digital devices), computational power, and AI algorithm—in the past two decades, AI applications have started to provide convenience to people's lives. …”
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Location optimization of urban fire stations considering the variations in fire service demands: a bi-objective coverage model by Yulong Chen, Jing Yao, Shaohua Wang, Zhizhu Lai, Leying Wu, Guanpeng Dong

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A novel graph neural network based approach for influenza-like illness nowcasting: exploring the interplay of temporal, geographical, and functional spatial features by Jiajia Luo, Xuan Wang, Xiaomao Fan, Yuxin He, Xiangjun Du, Yao-Qing Chen, Yang Zhao

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Multi-Strategy Improved Red-Tailed Hawk Algorithm for Real-Environment Unmanned Aerial Vehicle Path Planning by Mingen Wang, Panliang Yuan, Pengfei Hu, Zhengrong Yang, Shuai Ke, Longliang Huang, Pai Zhang

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Supporting Smart Manufacturing in the Space Industry: A Case Study by Ala Arman, Andrea Lombardo, Flavia Monti, Massimo Mecella

“…Leveraging Industry 4.0 technologies like the Internet of Things (IoT) and Big Data analytics show great potential for improving the manufacturing, assembly, integration, and testing (MAIT) cycle. …”
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DeepDrug as an expert guided and AI driven drug repurposing methodology for selecting the lead combination of drugs for Alzheimer’s disease by Victor O. K. Li, Yang Han, Tushar Kaistha, Qi Zhang, Jocelyn Downey, Illana Gozes, Jacqueline C. K. Lam

“…DeepDrug offers a novel AI-and-big-data, expert-guided mechanism for new drug combination discovery and drug-repurposing across AD and other neuro-degenerative diseases, with immediate clinical applications.…”
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Smart breeding driven by advances in sequencing technology by Chenji Zhang, Sirong Jiang, Yangyang Tian, Xiaorui Dong, Jianjia Xiao, Yanjie Lu, Tiyun Liang, Hongmei Zhou, Dabin Xu, Han Zhang, Ming Luo, Zhiqiang Xia

“…The review also discusses the technological changes associated with breeding during the big data era, including breeding models, genotyping technologies and future intelligent breeding, to provide references for crop breeders. …”
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An optimized data analytics pipeline for improving healthcare diagnosis using ensemble learning by Lomat Haider Chowdhury, Shaira Tabassum, Swakkhar Shatabda, Ashir Ahmed

“…However, the cost of healthcare diagnosis makes people indifferent to going through the process. Big data and machine learning are already in use to contribute to the healthcare diagnosis sector with the available data which is enormously growing through the digitalization of the system. …”
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Evolution of CFD as an engineering science. A personal perspective with emphasis on the finite volume method by Runchal, Akshai Kumar

“…Recent developments in machine learning, AI, computer hardware, big data, IOT and Virtual Reality tools will lead to design tools with CFD engines that are robust, reliable and easily accessible to a practicing engineer rather than be the domain of a CFD expert. …”
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UVtrack: Multi-Modal Indoor Seamless Localization Using Ultra-Wideband Communication and Vision Sensors by Yi Xu, Zhigang Chen, Ming Zhao, Fengxiao Tang, Yangfan Li, Jiaqi Liu, Nei Kato

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A practical approach to building a calcareous nannofossil knowledge graph by Hongyi Zhao, Bin Hu, Chao Ma, Shijun Jiang, Yi Zhang, Xin Li, Lirong Chen, Can Cai, Longgang Ye, Shengjian Zhou, Chengshan Wang

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Advancing skeleton-based human behavior recognition: multi-stream fusion spatiotemporal graph convolutional networks by Fenglin Liu, Chenyu Wang, Zhiqiang Tian, Shaoyi Du, Wei Zeng

“…In the era of burgeoning big data, extensive repositories of images and videos have risen to prominence as the primary conduits for disseminating information. …”
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Apply IOT technology to practice a pandemic prevention body temperature measurement system: A case study of response measures for COVID-19 by Wei-Ling Lin, Chun-Hung Hsieh, Tung-Shou Chen, Jeanne Chen, Jian-Le Lee, Wei-Chung Chen

“…ITMS is used to detect body temperature. However, PPAS uses big data analysis techniques to prevent pandemics. …”
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Mapping TB incidence across districts in Uganda to inform health program activities by N.J. Henry, S. Zawedde-Muyanja, R.K. Majwala, S. Turyahabwe, R.V. Barnabas, R.C. Reiner, Jr, C.E. Moore, J.M. Ross

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Identification and analysis of factors affecting the maturity of knowledge-based companies in the food industry with the approach of the fourth-generation industry by Ali Mohaghar, Fatemeh Saghafi, Mohammad Hasan Maleki, Daryamehr Keshani

“…Some suggestions were: the use of data-driven technologies such as business intelligence and big data to strengthen data-driven decision-making, the use of a hybrid approach in training and the application of new technologies in the field of training such as Metaverse, the use of Internet of Things and blockchain technologies to automate and intelligentize processes and finally Moving towards an open innovation policy.…”
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Investigation of an Ultra-Wideband Optical Absorber with the Bandwidth from Ultraviolet C to Middle Infrared by Chih-Ching Hung, Xin-Yu Lin, Tung-Lung Wu, Shu-Han Liao, Ho-Sheng Chen, Cheng-Fu Yang

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Legal aspects of functional security standardisation of the Internet of Things by P. S. Klimushyn, V. Ye. Roh, T. P. Kolisnyk

“…To support the Internet of Things, technologies such as built-in devices, cloud and fog computing, big data processing, machine learning, and artificial intelligence are used to produce intelligent physical objects. …”
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Transdisciplinary role of physical and mathematical disciplines in modern natural science and engineering education by V. A. Testov, E. A. Perminov

“…As a result of the transdisciplinary trend in science, such scientific fields as cybernetics, general systems theory, catastrophe theory, synergetics, artificial intelligence, big data, etc. have emerged. All these concepts were developed on the basis of the achievements of mathematics and physics over the past 70–80 years, which gave rise to the most unique practical achievements in modern, natural, and technical sciences.Aim. …”
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A Spectral Transfer Function to Harmonize Existing Soil Spectral Libraries Generated by Different Protocols by Nicolas Francos, Daniela Heller-Pearlshtien, José A. M. Demattê, Bas Van Wesemael, Robert Milewski, Sabine Chabrillat, Nikolaos Tziolas, Adrian Sanz Diaz, María Julia Yagüe Ballester, Asa Gholizadeh, Eyal Ben-Dor

“…Soil spectral libraries (SSLs) are important big-data archives (spectra associated with soil properties) that are analyzed via machine-learning algorithms to estimate soil attributes. …”
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