[PDF][PDF] Advanced machine learning methods for large-scale parametrized problems in computational mechanics

S Nikolopoulos - 2023 - dspace.lib.ntua.gr
Recent advances in the field of machine learning open a new era in high performance
computing for challenging computational science and engineering applications. In this …

Revolutionizing Warehouse Management With Image Processing: A Review of Current Trends and Future Directions

KNAS Iyer, S Mahalakshmi, SH Kumar… - … of Research on Thrust …, 2023 - igi-global.com
The future directions and current trends of warehouse management using image processing
techniques are thoroughly reviewed in this chapter. The chapter starts off with a summary of …

Unveiling Derivatives in Deep and Convolutional Neural Networks: A Guide to Understanding and Optimization

AF Rasheed, M Zarkoosh - 2024 - hal.science
The world of artificial intelligence and deep learning is constantly evolving, with many
pioneers and researchers utilizing frameworks such as TensorFlow and PyTorch to expedite …

Lunettes connectées pour prévenir le déclin des capacités physiques chez les personnes âgées

J Hellec - 2022 - theses.hal.science
La problématique du risque de chute chez les personnes âgées augmente avec le
vieillissement. Les conséquences des chutes étant nombreuses et néfastes, le …

Artificial Intelligence Techniques and Methodology Available for Lung Cancer Detection

PK Priya, T Sivakumar - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
Cancer is a term used to describe the body's aberrant cells growing out of control, which can
occur in various body parts. With over a hundred types of cancer known to exist, delays in …

Deep Learning and parallelization of Meta-heuristic Methods for IoT Cloud

MA Khelili - 2022 - thesis.univ-biskra.dz
Healthcare 4.0 is one of the Fourth Industrial Revolution's outcomes that make a big
revolution in the medical field. Healthcare 4.0 came with more facilities advantages that …

Wireless Sensor Network-Based Automated Computer-Assisted Diagnostic Approaches for Identification of Brain Tumor Disease in IoT-Based Healthcare

K Lamba, S Rani - Emerging Technologies and the Application of WSN … - taylorfrancis.com
To save millions of lives suffering from brain tumor, it has become a necessity for the medical
professionals to achieve the precise and prompt identification of brain tumor at an initial …

Revisión sistemática: La Aplicación del Deep Learning en el sector Salud entre los años 2018 a 2022

AP Castillo-Carranza, EK Bravo-Huivin… - Revista Ibérica de …, 2022 - search.proquest.com
Como resultados más destacados se presentaron datos equivalentes en cuanto a
conocimiento sobre Deep Learning en diferentes países como China (86.22%), Estados …

HYBRID MODEL USED FOR REDUCING LATENCY IN SMART HEALTHCARE SYSTEMS

OB Dinler, CB Şahin, H Aznaoui - Journal of Advancement in …, 2023 - journalsriuf.com
Abstract The Internet of Things (IoT) connects numerous devices on a worldwide scale.
Emerging topics in the healthcare system include health checking, exercise planners, and …

Integration of E-Health, Internet of Things and Cyber-Physical Systems

M Yousuff, J Jayashree, J Vijayashree… - … -Physical Systems for …, 2023 - taylorfrancis.com
Today's globe faces numerous concerns relating to public health problems associated with
chronic sickness caused by dangerous infections like COVID-19. The increasing prevalence …