[HTML][HTML] Emperor penguin optimizer: A comprehensive review based on state-of-the-art meta-heuristic algorithms
Meta heuristics is an optimization approach that works as an intelligent technique to solve
optimization problems. Evolutionary algorithms, human-based algorithms, physics-based …
optimization problems. Evolutionary algorithms, human-based algorithms, physics-based …
An enhanced ResNet-50 deep learning model for arrhythmia detection using electrocardiogram biomedical indicators
R Anand, SV Lakshmi, D Pandey, BK Pandey - Evolving Systems, 2024 - Springer
Electrocardiogram (ECG) is one among the most common detecting techniques in the
analysis and detection of cardiac arrhythmia adopted due to its cost efficiency and simplicity …
analysis and detection of cardiac arrhythmia adopted due to its cost efficiency and simplicity …
Analysation of big data in smart healthcare
Large information analytics can improve affected person outcomes, enhance and customise
care, enhance company collaborations with treatment holders and deduction the huge cost …
care, enhance company collaborations with treatment holders and deduction the huge cost …
Effective and secure transmission of health information using advanced morphological component analysis and image hiding
The using morphological component analysis, deep learning, and steganography, this study
examines the secure transmission, identification, and validation of textual pictures via this …
examines the secure transmission, identification, and validation of textual pictures via this …
A real-time smart sewage cleaning UAV assistance system using IoT
There is a boom in autonomous systems with rapid technological development that cannot
adapt without human interaction to actual life conditions. Such programs will free people …
adapt without human interaction to actual life conditions. Such programs will free people …
Effective overview of different ML models used for prediction of COVID-19 patients
H Singh, BK Pandey, S George, D Pandey… - Artificial Intelligence on …, 2022 - Springer
The goal of this research is to see how well is a fast primary screening method for COVID-19
that relies only on cough sounds collected from 2200 clinically verified samples utilizing the …
that relies only on cough sounds collected from 2200 clinically verified samples utilizing the …
Optimized building extraction from high-resolution satellite imagery using deep learning
Building extraction is very essential in various urban dynamics like disaster management
and change detection, finding the estimated population, and so on. Building extraction from …
and change detection, finding the estimated population, and so on. Building extraction from …
An efficient deep neural network with adaptive galactic swarm optimization for complex image text extraction
D Pandey, BK Pandey - Process mining techniques for pattern …, 2022 - taylorfrancis.com
Text present in a complex image contains various details which are employed to recognize
the conditions of the image and to nontext details. The details available in the complex …
the conditions of the image and to nontext details. The details available in the complex …
Secret data transmission using advanced morphological component analysis and steganography
This paper mentions how morphological component analysis, deep learning, and
steganography could be used to safeguard the dissemination, recognition, and affirmation of …
steganography could be used to safeguard the dissemination, recognition, and affirmation of …
[HTML][HTML] Impact of SARS-CoV-2 in online education, predicting and contrasting mental stress of young students: a machine learning approach
K Parthiban, D Pandey, BK Pandey - Augmented Human Research, 2021 - Springer
The nation has already had to contend with such a major public health issue when this
COVID-19 disease was propagated in March 2020. The corona's propagation does have an …
COVID-19 disease was propagated in March 2020. The corona's propagation does have an …