Leveraging Deep Learning and IoT big data analytics to support the smart cities development: Review and future directions

SB Atitallah, M Driss, W Boulila, HB Ghézala - Computer Science Review, 2020 - Elsevier
The rapid growth of urban populations worldwide imposes new challenges on citizens' daily
lives, including environmental pollution, public security, road congestion, etc. New …

Big data analytics as a tool for fighting pandemics: a systematic review of literature

A Corsi, FF de Souza, RN Pagani… - Journal of ambient …, 2021 - Springer
Infectious and contagious diseases represent a major challenge for health systems
worldwide, either in private or public sectors. More recently, with the increase in cases …

The data-driven future of healthcare: a review

MM Amri, SA Abed - Mesopotamian Journal of Big Data, 2023 - mesopotamian.press
The future of disease detection, treatment, and prevention may very well lie in data-driven
healthcare. Here, we take stock of where things stand and highlight certain emerging issues …

Edge AI: A taxonomy, systematic review and future directions

SS Gill, M Golec, J Hu, M Xu, J Du, H Wu… - arXiv preprint arXiv …, 2024 - arxiv.org
Edge Artificial Intelligence (AI) incorporates a network of interconnected systems and
devices that receive, cache, process, and analyse data in close communication with the …

Large scale data analysis using MLlib

AH Ali, MN Abbod, MK Khaleel… - Telkomnika …, 2021 - telkomnika.uad.ac.id
Recent advancements in the internet, social media, and internet of things (IoT) devices have
significantly increased the amount of data generated in a variety of formats. The data must …

[PDF][PDF] A new model for iris data set classification based on linear support vector machine parameter's optimization

ZF Hussain, HR Ibraheem, M Alsajri, AH Ali… - International Journal of …, 2020 - core.ac.uk
Data mining is known as the process of detection concerning patterns from essential
amounts of data. As a process of knowledge discovery. Classification is a data analysis that …

Hybrid auto-scaled service-cloud-based predictive workload modeling and analysis for smart campus system

MA Razzaq, JA Mahar, M Ahmad, N Saher… - IEEE …, 2021 - ieeexplore.ieee.org
The Internet of Things is an emerging technology used in cloud computing and provides
many services of the cloud. The cloud services users mostly suffer from service delays and …

Multi-level and relevance-based parallel clustering of massive data streams in smart manufacturing

A Bagozi, D Bianchini, V De Antonellis - Information Sciences, 2021 - Elsevier
Parallel implementations of incremental clustering have been provided to increase
performances of data stream processing in smart factories, to enable real-time anomaly …

[PDF][PDF] Big data streaming platforms: A review

H Kumar, PJ Soh, MA Ismail - Iraqi Journal for Computer Science and …, 2022 - iasj.net
Yesterday's “Big Data” is today's “data.” As technology advances, new difficulties and new
solutions emerge. In recent years, as a result of the development of Internet of Things (IoT) …

Leveraging AI and Big Data in Low-Resource Healthcare Settings

AH Ali, SA Dheyab, AH Alamoodi… - … Journal of Big Data, 2024 - mesopotamian.press
Big data and artificial intelligence are game-changing technologies for the underdeveloped
healthcare industry because they help optimize the entire supply chain and deliver more …