Application of Internet of Things in the Health Sector: Toward Minimizing Energy Consumption by Mohammed Moutaib, Tarik Ahajjam, Mohammed Fattah, Yousef Farhaoui, Badraddine Aghoutane, Moulhime El Bekkali

“…Big Data Mining and Analytics…”
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Extending OpenStack Monasca for Predictive Elasticity Control by Giacomo Lanciano, Filippo Galli, Tommaso Cucinotta, Davide Bacciu, Andrea Passarella

“…Big Data Mining and Analytics…”
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Effect of E-Learning on Public Health and Environment During COVID-19 Lockdown by Avani Agarwal, Sahil Sharma, Vijay Kumar, Manjit Kaur

“…Big Data Mining and Analytics…”
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Predicting Energy Consumption Using Stacked LSTM Snapshot Ensemble by Mona Ahamd Alghamdi, Abdullah S. AL-Malaise AL-Ghamdi, Mahmoud Ragab

“…Big Data Mining and Analytics…”
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An Adaptive Scalable Data Pipeline for Multiclass Attack Classification in Large-Scale IoT Networks by Selvam Saravanan, Uma Maheswari Balasubramanian

“…Big Data Mining and Analytics…”
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Estimating Intelligence Quotient Using Stylometry and Machine Learning Techniques: A Review by Glory O. Adebayo, Roman V. Yampolskiy

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Identification, evaluation and prioritization of hazards caused by high voltage power towers in urban areas by Negar Afzali Behbahani

“…Big Data and Computing Visions…”
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A Deep-Learning Prediction Model for Imbalanced Time Series Data Forecasting by Chenyu Hou, Jiawei Wu, Bin Cao, Jing Fan

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AI-Driven Mental Health Surveillance: Identifying Suicidal Ideation Through Machine Learning Techniques by Hesham Allam, Chris Davison, Faisal Kalota, Edward Lazaros, David Hua

“…Big Data and Cognitive Computing…”
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An Intelligent Heuristic Manta-Ray Foraging Optimization and Adaptive Extreme Learning Machine for Hand Gesture Image Recognition by Seetharam Khetavath, Navalpur Chinnappan Sendhilkumar, Pandurangan Mukunthan, Selvaganesan Jana, Lakshmanan Malliga, Subburayalu Gopalakrishnan, Sankuru Ravi Chand, Yousef Farhaoui

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Efficient task scheduling for cloud computing: a comparative survey of state-of-the-art algorithms by Aziza Algarni

“…Big Data and Computing Visions…”
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Prediction of COVID-19 Confirmed, Death, and Cured Cases in India Using Random Forest Model by Vishan Kumar Gupta, Avdhesh Gupta, Dinesh Kumar, Anjali Sardana

“…Big Data Mining and Analytics…”
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Multi-Task Learning for Alzheimer’s Disease Diagnosis and Mini-Mental State Examination Score Prediction by Jin Liu, Xu Tian, Hanhe Lin, Hong-Dong Li, Yi Pan

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New restricted and extended soft set operations: restricted gamma and extended gamma operations by Aslıhan Sezgin, Fitnat Aybek

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Fast Skyline Community Search in Multi-Valued Networks by Dongxiao Yu, Lifang Zhang, Qi Luo, Xiuzhen Cheng, Jiguo Yu, Zhipeng Cai

“…Big Data Mining and Analytics…”
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DFF-ResNet: An Insect Pest Recognition Model Based on Residual Networks by Wenjie Liu, Guoqing Wu, Fuji Ren, Xin Kang

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Adoption of machine learning in streamlining maintenance strategies for effective operations in automotive industries by Aniekan Ikpe, Imoh Ekanem

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Heterogeneous Network-Based Chronic Disease Progression Mining by Chenfei Sun, Qingzhong Li, Lizhen Cui, Hui Li, Yuliang Shi

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Gender-Based Analysis of User Reactions to Facebook Posts by Yassine El Moudene, Jaafar Idrais, Rida El Abassi, Abderrahim Sabour

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Automated class student counting through image processing by Agyan Panda, Azadeh Shemshad

“…Big Data and Computing Visions…”
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