In healthcare, medical image processing is considered one of the most significant procedures used in diagnosing pathological conditions. Magnetic resonance imaging (MRI) …
Because there is more demand for freshwater around the world and the world's population is growing at the same time, there is a severe lack of freshwater resources in the central part of …
Y Zhang, C Li, X Xin - Computers, Materials & Continua, 2023 - cdn.techscience.cn
Cold-chain logistics system (CCLS) plays the role of collecting and managing the logistics data of frozen food. However, there always exist problems of information loss, data …
According to the World Health Organization, heart disease is the biggest cause of death worldwide. It may be possible to bring down the overall death rate of individuals if …
B Kulambayev, G Astaubayeva… - … Journal of Advanced …, 2024 - researchgate.net
This research delves into an innovative approach to an age-old urban maintenance challenge: the timely and accurate detection of pavement cracks, a key issue linked to public …
A Khanna, Y Sharma, D Singh, R Monga… - Acta Informatica …, 2023 - ceeol.com
Medical document verification is a critical and expensive process that often relies on centralized databases. However, manual verification of such documents is time-consuming …
N Dzhaynakbaev, N Kurmanbekkyzy… - International …, 2024 - search.ebscohost.com
In the wake of the COVID-19 pandemic, the use of medical imaging, particularly X-ray radiography, has become integral to the rapid and accurate diagnosis of pneumonia …
AK Sharma - 2022 1st International Conference on …, 2022 - ieeexplore.ieee.org
Artificial intelligence is a branch of computer science which enables to take decision. Usage of AI (Artificial Intelligence) has increased over the years in Pharmaceutical sector. Many …
G Kazbekova, Z Ismagulova… - International …, 2024 - search.ebscohost.com
In the dynamic milieu of Industry 4.0, characterized by the deluge of big data, this research promulgates a groundbreaking framework that harnesses machine learning (ML) to optimize …