New era of artificial intelligence and machine learning-based detection, diagnosis, and therapeutics in Parkinson's disease

R Gupta, S Kumari, A Senapati, RK Ambasta… - Ageing research …, 2023 - Elsevier
Parkinson's disease (PD) is characterized by the loss of neuronal cells, which leads to
synaptic dysfunction and cognitive defects. Despite the advancements in treatment …

[HTML][HTML] A review of multisensor data fusion solutions in smart manufacturing: Systems and trends

A Tsanousa, E Bektsis, C Kyriakopoulos, AG González… - Sensors, 2022 - mdpi.com
Manufacturing companies increasingly become “smarter” as a result of the Industry 4.0
revolution. Multiple sensors are used for industrial monitoring of machines and workers in …

Emerging technologies and design aspects of next generation cyber physical system with a smart city application perspective

A Mishra, AV Jha, B Appasani, AK Ray… - International Journal of …, 2023 - Springer
Abstract The Cyber Physical System (CPS) is a disruptive technology that has combined the
burgeoning technologies from various domains. The CPS is continuously evolving with the …

[HTML][HTML] Predictis: an IoT and machine learning-based system to predict risk level of cardio-vascular diseases

MN Islam, KR Raiyan, S Mitra, MMR Mannan… - BMC Health Services …, 2023 - Springer
Background Despite technological advancement in the field of healthcare, the worldwide
burden of illness caused by cardio-vascular diseases (CVDs) is rising, owing mostly to a …

BIM-based smart safety monitoring system using a mobile app: a case study in an ongoing construction site

MM Hossain, S Ahmed, SMA Anam… - Construction …, 2023 - emerald.com
Purpose Construction safety is a crucial aspect that has far-reaching impacts on economic
development. But safety monitoring is often reliant on labor-based observations, which can …

A wearable blood oxygen saturation monitoring system based on bluetooth low energy technology

Q Chen, L Tang - Computer Communications, 2020 - Elsevier
Dynamic monitoring of blood oxygen saturation value is an important method for the
prevention and treatment of chronic cardiovascular disease. In order to meet the design …

Machine learning approach for diagnosis of heart diseases

M Makram, N Ali, A Mohammed - 2022 2nd International Mobile …, 2022 - ieeexplore.ieee.org
For decades, cardiovascular diseases have been the leading cause of death. According to
the most recent WHO data, coronary heart disease deaths in Egypt accounted for 29.38 …

Big data analytics and internet of things for personalised healthcare: opportunities and challenges.

S Venkatraman, S Parvin, W Mansoor… - … Journal of Electrical …, 2023 - search.ebscohost.com
With the increasing use of technologies and digitally driven healthcare systems worldwide,
there will be several opportunities for the use of big data in personalized healthcare. In …

[PDF][PDF] A systematic review of the machine learning algorithms for the computational analysis in different domains

R Chahar, D Kaur - International Journal of Advanced Technology …, 2020 - researchgate.net
In this paper machine learning algorithms have been discussed and analyzed. It has been
discussed considering computational aspects in different domains. These algorithms have …

Deep Learning Approach for Liver Tumor Diagnosis

M Makram, M Elhemeily… - 2023 Intelligent Methods …, 2023 - ieeexplore.ieee.org
Liver cancer is a significant issue in Egypt, as indicated by the most recent statistics from the
World Health Organisation in 2020, where liver cancer-related deaths reached 4.57 percent …