Systematic review of security vulnerabilities in ethereum blockchain smart contract

SS Kushwaha, S Joshi, D Singh, M Kaur, HN Lee - Ieee Access, 2022 - ieeexplore.ieee.org
Blockchain is a revolutionary technology that enables users to communicate in a trust-less
manner. It revolutionizes the modes of business between organizations without the need for …

A systematic review on harmony search algorithm: theory, literature, and applications

M Dubey, V Kumar, M Kaur… - Mathematical Problems in …, 2021 - Wiley Online Library
Harmony search algorithm is the recently developed metaheuristic in the last decade. It
mimics the behavior of a musician producing a perfect harmony. It has been used to solve …

Deep transfer learning based classification model for COVID-19 disease

Y Pathak, PK Shukla, A Tiwari, S Stalin, S Singh - Irbm, 2022 - Elsevier
The COVID-19 infection is increasing at a rapid rate, with the availability of limited number of
testing kits. Therefore, the development of COVID-19 testing kits is still an open area of …

Efficient automated disease diagnosis using machine learning models

N Kumar, N Narayan Das, D Gupta… - Journal of healthcare …, 2021 - Wiley Online Library
Recently, many researchers have designed various automated diagnosis models using
various supervised learning models. An early diagnosis of disease may control the death …

Ensemble deep learning and internet of things‐based automated COVID‐19 diagnosis framework

AS Kini, AN Gopal Reddy, M Kaur… - Contrast Media & …, 2022 - Wiley Online Library
Coronavirus disease (COVID‐19) is a viral infection caused by SARS‐CoV‐2. The
modalities such as computed tomography (CT) have been successfully utilized for the early …

A comparative analysis of machine learning algorithms for detection of organic and nonorganic cotton diseases

S Kumar, A Jain, AP Shukla, S Singh… - Mathematical …, 2021 - Wiley Online Library
Cotton is the natural fiber produced, and the commercial crop grown in monoculture on 2.5%
of total agricultural land. Cotton is a drought‐resistant crop that provides a reliable income to …

Rapid COVID-19 diagnosis using ensemble deep transfer learning models from chest radiographic images

N Gianchandani, A Jaiswal, D Singh, V Kumar… - Journal of ambient …, 2023 - Springer
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes novel
coronavirus disease (COVID-19) outbreak in more than 200 countries around the world. The …

Novel deep transfer learning model for COVID-19 patient detection using X-ray chest images

N Kumar, M Gupta, D Gupta, S Tiwari - Journal of ambient intelligence and …, 2023 - Springer
Around the world, more than 250 countries are affected by the COVID-19 pandemic, which is
caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). This …

Hybrid genetic firefly algorithm-based routing protocol for VANETs

GD Singh, M Prateek, S Kumar, M Verma… - IEEE …, 2022 - ieeexplore.ieee.org
Vehicular Adhoc Networks (VANETs) are used for efficient communication among the
vehicles to vehicle (V2V) infrastructure. Currently, VANETs are facing node management …

Densely connected convolutional networks-based COVID-19 screening model

D Singh, V Kumar, M Kaur - Applied Intelligence, 2021 - Springer
The extensively utilized tool to detect novel coronavirus (COVID-19) is a real-time
polymerase chain reaction (RT-PCR). However, RT-PCR kits are costly and consume critical …