Role of artificial neural networks in predicting design and efficiency of dye sensitized solar cells
Photovoltaic technology attracts researchers from industry and academia due to its potential
in producing electricity directly from the sunlight. Among all the photovoltaic devices, the dye …
in producing electricity directly from the sunlight. Among all the photovoltaic devices, the dye …
Spatial feature and resolution maximization GAN for bone suppression in chest radiographs
Abstract Background and Objective: Chest radiographs (CXR) are in great demand for
visualizing the pathology of the lungs. However, the appearance of bones in the lung region …
visualizing the pathology of the lungs. However, the appearance of bones in the lung region …
KUB-UNet: segmentation of organs of urinary system from a KUB X-ray image
Purpose The alarming increase in diseases of urinary system is a cause of concern for the
populace and health experts. The traditional techniques used for the diagnosis of these …
populace and health experts. The traditional techniques used for the diagnosis of these …
Conditional generative adversarial network model for conversion of 2 dimensional radiographs into 3 dimensional views
The inefficacy of 2-Dimensional techniques in visualizing all perspectives of an organ may
lead to inaccurate diagnosis of a disease or deformity. This raises a need for adopting 3 …
lead to inaccurate diagnosis of a disease or deformity. This raises a need for adopting 3 …
A deep reinforcement learning technique for bug detection in video games
The objective of this research is to design the deep reinforcement neural learning-based
model that detects the bugs in a game environment. The model automates the bug detection …
model that detects the bugs in a game environment. The model automates the bug detection …
Ensemble of Deep Neural Networks based on Condorcet's Jury Theorem for screening Covid-19 and Pneumonia from radiograph images
COVID-19 detection using Artificial Intelligence and Computer-Aided Diagnosis has been
the subject of several studies. Deep Neural Networks with hundreds or even millions of …
the subject of several studies. Deep Neural Networks with hundreds or even millions of …
Molecular structure-based prediction of absorption maxima of dyes using ann model
The exponentially growing energy requirements and, in turn, extensive depletion of non-
restorable sources of energy are a major cause of concern. Restorable energy sources such …
restorable sources of energy are a major cause of concern. Restorable energy sources such …
Obstructive Sleep-Apnea Detection using Signal Preprocessing and 1-D Channel Attention Network
The alarming increase in the number of people affected by Obstructive sleep apnea is a
point of concern for the medical experts as well as the whole populace. The discontinuous …
point of concern for the medical experts as well as the whole populace. The discontinuous …
A focused review of ANN-based models for Predicting Absorption Maxima (λmax) of Dyes
The rapidly increasing demand for energy and the consequent depletion of non-renewable
energy sources pose significant challenges. Seeking alternatives, renewable sources like …
energy sources pose significant challenges. Seeking alternatives, renewable sources like …
Selecting a Base Deep Learning Model for Tomato Leaf Disease Classification
In today's era, Convolutional Neural Network, and transformer-based architectures have
been implemented for the tomato leaf disease classification. This adoption of artificial …
been implemented for the tomato leaf disease classification. This adoption of artificial …