14 Result(s)
within
Pandit Byomakesha Dash
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Chapter
Intelligent Biometric Authentication-Based Intrusion Detection in Medical Cyber Physical System Using Deep Learning
The current generation of technology is evolving at a rapid speed and gaining a prominent position in the hearts of individuals. For instance, when internet-connected gadgets link to other devices, they create...
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Chapter and Conference Paper
An Improved Intrusion Detection System for the Internet of Medical Things Based on Deep Convolutional Neural Network
Internet of Things (IoT) develo** technologies have opened a new chapter in healthcare. IoT technology has revolutionized the delivery of healthcare to patients. As network-enabled IoT devices are incorporat...
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Chapter and Conference Paper
Deep Convolutional Neural Network for Skin Cancer Classification
The most prevalent kind of cancer that poses a significant threat to human health and survival is skin cancer. Convolutional neural networks (CNNs) in deep learning (DL) have shown promising results in reliabl...
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Chapter and Conference Paper
Efficient Ensemble Learning Based CatBoost Approach for Early-Stage Stroke Risk Prediction
A stroke is a medical disorder in which the blood arteries in the brain rupture, resulting in a loss of consciousness. When the brain’s blood and other nutrients flow are interrupted, symptoms may manifest. Ac...
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Article
Deep belief network-based probabilistic generative model for detection of robotic manipulator failure execution
This paper addresses an effective deep learning-based technique for detection of robotic manipulator’s failure execution. The problem is based on the control strategy of robotic manipulators subjected to uncer...
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Chapter
Early Detection of Chronic Obstructive Pulmonary Disease Using LSTM-Firefly Based Deep Learning Model
Identifying Chronic Obstructive Pulmonary Disease (COPD) is essential for reducing mortality and cost burden. However, the population suffers from an underdiagnosis of chronic obstructive pulmonary disease. Th...
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Chapter
An Optimistic Bayesian Optimization Based Extreme Learning Machine for Polycystic Ovary Syndrome Diagnosis
The most prevalent endocrine disorder that exist in 5 to 10% of the women during their fertility period is the polycystic ovarian syndrome (PCOS). Women having PCOS problem are associated with serious conseque...
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Article
Deep Learning-Based Trend Analysis on Indian Stock Market in COVID-19 Pandemic Scenario and Forecasting Future Financial Drift
This present study has used the long-short-term memory (LSTM) network-based deep learning architecture to analyze the influence of the current widespread COVID-19 on the Indian stock market. The major contribu...
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Article
Higher order ANN parameter optimization using hybrid opposition-elitism based metaheuristic
For two decades, the dominance of nature-inspired optimization algorithms has been irresistible in solving many complex problems. In fact, most of these algorithms are integrated with some other intelligent te...
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Article
Significance of deep learning for Covid-19: state-of-the-art review
The appearance of the 2019 novel coronavirus (Covid-19), for which there is no treatment or a vaccine, formed a sense of necessity for new drug discovery advances. The pandemic of NCOV-19 (novel coronavirus-19...
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Chapter and Conference Paper
Breast Cancer Mammography Identification with Deep Convolutional Neural Network
Breast cancer is considered as one of the most common invasive diseases in women and a major cause of cancer death. One of the most effective diagnostic methods used for the diagnosis of breast cancer is mammo...
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Chapter and Conference Paper
Deep Learning Based Framework for Breast Cancer Mammography Classification Using Resnet50
The early detection of breast cancer tumors by mammography is critical to minimizing the disease's complications and ensuring a successful cure. False-positive findings from a mammogram might lead to unnecessa...
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Article
SEM: Stacking Ensemble Meta-Learning for IOT Security Framework
Despite the popularity of the applicability of Internet of Things (IoT) devices in many applications, security and anomaly detection has always been a rising concern for any domain of research. In the current ...
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Article
Firefly Algorithm in Biomedical and Health Care: Advances, Issues and Challenges
Since the past decades, most of the nature inspired optimization algorithms (NIOA) have been developed and become admired due to their effectiveness for resolving a variety of complex problems of dissimilar do...
