Evaluation of recurrent neural network and its variants for intrusion detection system (IDS)

R Vinayakumar, KP Soman… - International Journal of …, 2017 - igi-global.com
This article describes how sequential data modeling is a relevant task in Cybersecurity.
Sequences are attributed temporal characteristics either explicitly or implicitly. Recurrent …

An overview of biomedical image analysis from the deep learning perspective

S Chakraborty, K Mali - … on improving medical imaging techniques for …, 2023 - igi-global.com
Biomedical image analysis methods are gradually shifting towards computer-aided solutions
from manual investigations to save time and improve the quality of the diagnosis. Deep …

[HTML][HTML] A survey of the development of biomimetic intelligence and robotics

J Wang, W Chen, X Xiao, Y Xu, C Li, X Jia… - Biomimetic Intelligence …, 2021 - Elsevier
Biomimetics is the development of novel theories and technologies by emulating the models
and systems of nature. The transfer of function from biological science into engineering …

[图书][B] A beginner's guide to image preprocessing techniques

J Chaki, N Dey - 2018 - taylorfrancis.com
For optimal computer vision outcomes, attention to image pre-processing is required so that
one can improve image features by eliminating unwanted falsification. This book …

An efficient multilevel thresholding based satellite image segmentation approach using a new adaptive cuckoo search algorithm

J Rahaman, M Sing - Expert Systems with Applications, 2021 - Elsevier
It is the most challenging and difficult task to segment a satellite image because of its
complete randomness, multiple regions of interest, weak correlation with pixels, and regions …

SuFMoFPA: A superpixel and meta-heuristic based fuzzy image segmentation approach to explicate COVID-19 radiological images

S Chakraborty, K Mali - Expert Systems with Applications, 2021 - Elsevier
Coronavirus disease 2019 or COVID-19 is one of the biggest challenges which are being
faced by mankind. Researchers are continuously trying to discover a vaccine or medicine for …

Classification of mice hepatic granuloma microscopic images based on a deep convolutional neural network

Y Wang, Y Chen, N Yang, L Zheng, N Dey… - Applied Soft …, 2019 - Elsevier
Hepatic granuloma develops in the early stage of liver cirrhosis which can seriously injury
liver health. At present, the assessment of medical microscopic images is necessary for …

An unsupervised fuzzy clustering approach for early screening of COVID-19 from radiological images

W Ding, S Chakraborty, K Mali… - … on Fuzzy Systems, 2021 - ieeexplore.ieee.org
A global pandemic scenario is witnessed worldwide owing to the menace of the rapid
outbreak of the deadly COVID-19 virus. To save mankind from this apocalyptic onslaught, it …

Quasi-reflection based multi-strategy cuckoo search for parameter estimation of photovoltaic solar modules

W Luo, X Yu - Solar Energy, 2022 - Elsevier
To efficiently model, evaluate and track the maximum power point on Photovoltaic (PV)
systems, it is of great significance to estimate appropriate model parameters. In this study, a …

RETRACTED ARTICLE: An improved approach for automatic spine canal segmentation using probabilistic boosting tree (PBT) with fuzzy support vector machine

C Viji, N Rajkumar, ST Suganthi… - Journal of Ambient …, 2021 - Springer
Spine canal segmentation is an emerging zone in research proposed to help interpretation
and processing of advanced MRI and CT images. For instance, high resolution three …