[HTML][HTML] Artificial intelligence, machine learning and deep learning in advanced robotics, a review
Abstract Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) have
revolutionized the field of advanced robotics in recent years. AI, ML, and DL are transforming …
revolutionized the field of advanced robotics in recent years. AI, ML, and DL are transforming …
SQL and NoSQL database software architecture performance analysis and assessments—a systematic literature review
The competent software architecture plays a crucial role in the difficult task of big data
processing for SQL and NoSQL databases. SQL databases were created to organize data …
processing for SQL and NoSQL databases. SQL databases were created to organize data …
DenseSPH-YOLOv5: An automated damage detection model based on DenseNet and Swin-Transformer prediction head-enabled YOLOv5 with attention mechanism
Objective. Computer vision-based up-to-date accurate damage classification and
localization are of decisive importance for infrastructure monitoring, safety, and the …
localization are of decisive importance for infrastructure monitoring, safety, and the …
An efficient and robust phonocardiography (pcg)-based valvular heart diseases (vhd) detection framework using vision transformer (vit)
Background and objectives: Valvular heart diseases (VHDs) are one of the dominant causes
of cardiovascular abnormalities that have been associated with high mortality rates globally …
of cardiovascular abnormalities that have been associated with high mortality rates globally …
Deep learning-accelerated computational framework based on physics informed neural network for the solution of linear elasticity
The paper presents an efficient and robust data-driven deep learning (DL) computational
framework developed for linear continuum elasticity problems. The methodology is based on …
framework developed for linear continuum elasticity problems. The methodology is based on …
A data-driven physics-constrained deep learning computational framework for solving von Mises plasticity
Current work presents an efficient data-driven Physics Informed Neural Networks (PINNs)
computational framework for the solution of elastoplastic solid mechanics. To incorporate …
computational framework for the solution of elastoplastic solid mechanics. To incorporate …
Deep learning with image-based autism spectrum disorder analysis: A systematic review
MZ Uddin, MA Shahriar, MN Mahamood… - … Applications of Artificial …, 2024 - Elsevier
Autism spectrum disorder (ASD) is a collection of neuro-developmental disorders associated
with social, communicational, and behavioral difficulties. Early detection thereof is necessary …
with social, communicational, and behavioral difficulties. Early detection thereof is necessary …
Understanding EEG signals for subject-wise definition of armoni activities
In a growing world of technology, psychological disorders became a challenge to be solved.
The methods used for cognitive stimulation are very conventional and based on one-way …
The methods used for cognitive stimulation are very conventional and based on one-way …
Safe resource management of non-cooperative microgrids based on deep reinforcement learning
This paper solves a bi-level optimization problem in which at the first level, the distribution
system operator (DSO) as a retailer tends to extract selling energy price signals so that …
system operator (DSO) as a retailer tends to extract selling energy price signals so that …
Advancing credit risk modelling with Machine Learning: A comprehensive review of the state-of-the-art
AA Montevechi, R de Carvalho Miranda… - … Applications of Artificial …, 2024 - Elsevier
Ensuring financial stability necessitates responsible credit granting, so lending institutions
maintain sufficient regulatory capital to withstand losses from defaults. Classification …
maintain sufficient regulatory capital to withstand losses from defaults. Classification …