Clinical Big Data and Deep Learning: Applications, Challenges, and Future Outlooks by Ying Yu, Min Li, Liangliang Liu, Yaohang Li, Jianxin Wang

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Machine learning of swimming data via wisdom of crowd and regression analysis by Jiang Xie, Junfu Xu, Celine Nie, Qing Nie

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Researching Organic Solar Cells from the Perspective of Literature Big Data Analysis by Qing Wang, Zhixin Liu, Shengda Zhao, Yangjun Yan, Xinyi Li, Yajie Zhang, Xinghua Zhang

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GeoTemporal clustering for aquifer delineation: a big data approach to synchronizing and analyzing variable-length groundwater time series by Khalid ElHaj, Dalal Alshamsi

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Artificial intelligence (AI) or augmented intelligence? How big data and AI are transforming healthcare: Challenges and opportunities by K Moodley

“… The sanctity of the doctor-patient relationship is deeply embedded in tradition – the Hippocratic oath, medical ethics, professional codes of conduct, and legislation – all of which are being disrupted by big data and ‘artificial’ intelligence (AI). The transition from paper-based records to electronic health records, wearables, mobile health applications and mobile phone data has created new opportunities to scale up data collection. …”
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New Media Marketing Strategy Optimization in the Catering Industry Based on Deep Machine Learning Algorithms by Zikang Peng

“…And a marketing strategy is proposed based on deep machine learning algorithms; including a cloud server, the cloud server communicates with the e-commerce software platform and the input of physical sales is recorded. …”
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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

“…In this work, the noise pollution level of Bhubaneswar smart city during Dussehra 2020 is predicted using different supervised machine learning (ML) prediction models. The input parameters considered for this work are area or zones of Bhubaneswar city, time at which sound level recorded, equivalent continuous sound level (Leq in dBA), and noise level (high/low compared to the standard value). …”
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Enhancing smart home environments: a novel pattern recognition approach to ambient acoustic event detection and localization by Ahsan Shabbir, Abdul Haleem Butt, Taha Khan, Lorenzo Chiari, Ahmad Almadhor, Vincent Karovic

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ROBO-SPOT: Detecting Robocalls by Understanding User Engagement and Connectivity Graph by Muhammad Ajmal Azad, Junaid Arshad, Farhan Riaz

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Interoperable Internet of Medical Things platform for e-Health applications by Jesús Noel Sárez Rubí, Paulo Roberto de Lira Gondim

“…Despite the existence of standards for semantic and platform interoperability (e.g. openEHR for healthcare, Semantic Sensor Network for Internet of Medical Things platforms, and machine-to-machine standards), no approach has combined them for granting interoperability or considered the whole integration of legacy Electronic Health Record Systems currently used worldwide. …”
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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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