Prashant Kumar Shukla
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View article: Fraudulent account detection in social media using hybrid deep transformer model and hyperparameter optimization
Fraudulent account detection in social media using hybrid deep transformer model and hyperparameter optimization Open
The high rate of social media development has triggered a high rate of fake accounts, which are a great risk to the privacy of users and the integrity of the platform. These malicious accounts are hard to detect because user activity data …
View article: Enhancing fake news detection for Sustainable Supply Chain Management using DistilBERT-based multi-stacked LSTM approach
Enhancing fake news detection for Sustainable Supply Chain Management using DistilBERT-based multi-stacked LSTM approach Open
View article: Intrusion Detection and Mitigation Method for the Industrial Internet of Things Using Bidirectional Convolutional Long Short-Term Memory and Deep Recurrent Convolutional Q-Networks
Intrusion Detection and Mitigation Method for the Industrial Internet of Things Using Bidirectional Convolutional Long Short-Term Memory and Deep Recurrent Convolutional Q-Networks Open
Cyber-physical system (CPS) security has become more important in the age of Industry 4.0 because of the quick integration of automation and the Internet of Things. The goal of this project is to create a strong intrusion detection and con…
View article: In vivo Study of Modified Okra Mucilage/Acrylic Acid Hydrogels Loaded with Ethanolic Extracts of Calendula Officinalis for Wound Healing Application
In vivo Study of Modified Okra Mucilage/Acrylic Acid Hydrogels Loaded with Ethanolic Extracts of Calendula Officinalis for Wound Healing Application Open
View article: High accuracy indoor positioning system using Galois field-based cryptography and hybrid deep learning
High accuracy indoor positioning system using Galois field-based cryptography and hybrid deep learning Open
View article: PARENTING STRESS AMONG PARENTS: A COMPARATIVE STUDY OF CHILD TYPE, FAMILY TYPE, AND CHILD GENDER
PARENTING STRESS AMONG PARENTS: A COMPARATIVE STUDY OF CHILD TYPE, FAMILY TYPE, AND CHILD GENDER Open
The present study aims to explore the parenting stress levels among different groups of parents based on (a) whether they have normal or special children, (b) their family structure (joint vs nuclear families), and (c) the gender of the ch…
View article: Exploring the Potential of Blockchain Technology in an IoT-Enabled Environment: A Review
Exploring the Potential of Blockchain Technology in an IoT-Enabled Environment: A Review Open
Internet of Things (IoT) plays an essential contribution in connecting devices and enabling seamless data exchange, leading to increased efficiency and convenience. However, security concerns in IoT systems are significant, as compromised …
View article: Corrections to “Exploring the Potential of Blockchain Technology in an IoT-Enabled Environment: A Review”
Corrections to “Exploring the Potential of Blockchain Technology in an IoT-Enabled Environment: A Review” Open
In the above article [1], references 56 and 92 were retracted. As the works in these references are no longer reliable, we are removing these references and the related discussions in [1]. These references do not have any impact on the dat…
View article: Manoeuvre a Cross-Spectral Algorithm and Machine Learning Approach to Categorize Seizures
Manoeuvre a Cross-Spectral Algorithm and Machine Learning Approach to Categorize Seizures Open
EEG signals are recordings of electrical activity in the brain, and they can be used to detect epileptic seizures. Cross-spectral analysis involves analyzing the spectral coherence between different frequency bands in EEG signals. Cross-sp…
View article: Synthesis of silver nanoparticles by green method using ligustrum sinense to study their structural and photoluminescence properties
Synthesis of silver nanoparticles by green method using ligustrum sinense to study their structural and photoluminescence properties Open
Photoelectronic devices such as solar cells require an electrolyte with electrode that has high energy conversion efficiency. Hence, ionic electrolyte and blend polymer composite electrolyte helps in ion regeneration and improving the perf…
View article: An Intelligent Diabetic Patient Tracking System Based on Machine Learning for E-Health Applications
An Intelligent Diabetic Patient Tracking System Based on Machine Learning for E-Health Applications Open
Background: Continuous surveillance helps people with diabetes live better lives. A wide range of technologies, including the Internet of Things (IoT), modern communications, and artificial intelligence (AI), can assist in lowering the exp…
View article: A Complex Brain Learning Skeleton Comprising Enriched Pattern Neural Network System for Next Era Internet of Things
A Complex Brain Learning Skeleton Comprising Enriched Pattern Neural Network System for Next Era Internet of Things Open
The Internet of Things (IoT) is now growing dramatically on various levels and helps to digitize various vital industries quickly. The most difficult obstacle for BCIs to overcome is the fact that not everyone has the same brain. Every new…
View article: Text-Based Emotion Recognition Using Deep Learning Approach
Text-Based Emotion Recognition Using Deep Learning Approach Open
Sentiment analysis is a method to identify people’s attitudes, sentiments, and emotions towards a given goal, such as people, activities, organizations, services, subjects, and products. Emotion detection is a subset of sentiment analysis …
View article: Improved Analysis of COVID-19 Influenced Pneumonia from the Chest X-Rays Using Fine-Tuned Residual Networks
Improved Analysis of COVID-19 Influenced Pneumonia from the Chest X-Rays Using Fine-Tuned Residual Networks Open
COVID-19 has remained a threat to world life despite a recent reduction in cases. There is still a possibility that the virus will evolve and become more contagious. If such a situation occurs, the resulting calamity will be worse than in …
View article: Crocin attenuates osteoclastogenesis and enhances bone health by skewing the immunoporotic “Treg-Th17” cell axis in post-menopausal osteoporotic mice model
Crocin attenuates osteoclastogenesis and enhances bone health by skewing the immunoporotic “Treg-Th17” cell axis in post-menopausal osteoporotic mice model Open
Background: Crocin is a well-known carotenoid with established anti-inflammatory, anti-arthritic, anti-tumor, and antioxidant properties. Previous studies have also identified crocin as a potential drug candidate for osteoporosis treatment…
View article: SecureOnt: A Security Ontology for Establishing Data Provenance in Semantic Web
SecureOnt: A Security Ontology for Establishing Data Provenance in Semantic Web Open
Security becomes a primary concern during sharing of information over the web. To overcome this problem, many security ontologies have been developed so far. The available security ontologies help to track data provenance and contain diffe…
View article: Human-Computer Interaction with Detection of Speaker Emotions Using Convolution Neural Networks
Human-Computer Interaction with Detection of Speaker Emotions Using Convolution Neural Networks Open
Emotions play an essential role in human relationships, and many real-time applications rely on interpreting the speaker’s emotion from their words. Speech emotion recognition (SER) modules aid human-computer interface (HCI) applications, …
View article: Human-Computer Interaction for Recognizing Speech Emotions Using Multilayer Perceptron Classifier
Human-Computer Interaction for Recognizing Speech Emotions Using Multilayer Perceptron Classifier Open
Human-computer interaction (HCI) has seen a paradigm shift from textual or display-based control toward more intuitive control modalities such as voice, gesture, and mimicry. Particularly, speech has a great deal of information, conveying …
View article: Optimal Medical Image Size Reduction Model Creation Using Recurrent Neural Network and GenPSOWVQ
Optimal Medical Image Size Reduction Model Creation Using Recurrent Neural Network and GenPSOWVQ Open
Medical diagnosis is always a time and a sensitive approach to proper medical treatment. Automation systems have been developed to improve these issues. In the process of automation, images are processed and sent to the remote brain for pr…
View article: IntOPMICM: Intelligent Medical Image Size Reduction Model
IntOPMICM: Intelligent Medical Image Size Reduction Model Open
Due to the increasing number of medical imaging images being utilized for the diagnosis and treatment of diseases, lossy or improper image compression has become more prevalent in recent years. The compression ratio and image quality, whic…
View article: Speaker Gender Recognition Based on Deep Neural Networks and ResNet50
Speaker Gender Recognition Based on Deep Neural Networks and ResNet50 Open
Several speaker recognition algorithms failed to get the best results because of the wildly varying datasets and feature sets for classification. Gender information helps reduce this effort since categorizing the classes based on gender ma…
View article: Multimodal Sarcasm Detection: A Deep Learning Approach
Multimodal Sarcasm Detection: A Deep Learning Approach Open
In the modern era, posting sarcastic comments on social media became the common trend. Sarcasm is often used by people to taunt or pester others. It is frequently expressed through inflexion, tonal stress in speech or in the form of lexica…
View article: An Implementation of Modified Blowfish Technique with Honey Bee Behavior Optimization for Load Balancing in Cloud System Environment
An Implementation of Modified Blowfish Technique with Honey Bee Behavior Optimization for Load Balancing in Cloud System Environment Open
Cloud computing is a system that allows data to be saved in the cloud on a virtual worker. Outsiders and virtual machines in the cloud worker supplier played a critical part in efficiently storing and accessing information. Security, acces…
View article: Intelligent Detection of the PV Faults Based on Artificial Neural Network and Type 2 Fuzzy Systems
Intelligent Detection of the PV Faults Based on Artificial Neural Network and Type 2 Fuzzy Systems Open
The real-time application research on the Fuzzy Logic Systems (FLSs) and Artificial Neural Networks (ANN) is vast and, in this paper, a technique for a photovoltaic failure analysis using the type 2 FLS and ANN is proposed. The method is p…
View article: A Machine Learning-Based Big EEG Data Artifact Detection and Wavelet-Based Removal: An Empirical Approach
A Machine Learning-Based Big EEG Data Artifact Detection and Wavelet-Based Removal: An Empirical Approach Open
The electroencephalogram (EEG) signals are a big data which are frequently corrupted by motion artifacts. As human neural diseases, diagnosis and analysis need a robust neurological signal. Consequently, the EEG artifacts’ eradication is a…
View article: Multiobjective Genetic Algorithm and Convolutional Neural Network Based COVID-19 Identification in Chest X-Ray Images
Multiobjective Genetic Algorithm and Convolutional Neural Network Based COVID-19 Identification in Chest X-Ray Images Open
COVID-19 is a new disease, caused by the novel coronavirus SARS-CoV-2, that was firstly delineated in humans in 2019. Coronaviruses cause a range of illness in patients varying from common cold to advanced respiratory syndromes such as Sev…
View article: Lactobacillus rhamnosus attenuates bone loss and maintains bone health by skewing Treg-Th17 cell balance in Ovx mice
Lactobacillus rhamnosus attenuates bone loss and maintains bone health by skewing Treg-Th17 cell balance in Ovx mice Open
View article: A Novel, Efficient, and Secure Anomaly Detection Technique Using DWU‐ODBN for IoT‐Enabled Multimedia Communication Systems
A Novel, Efficient, and Secure Anomaly Detection Technique Using DWU‐ODBN for IoT‐Enabled Multimedia Communication Systems Open
The Internet of Things (IoT) is enhancing our lives in a variety of structures, which consists of smarter cities, agribusiness, and e‐healthcare, among others. Even though the Internet of Things has many features with the consumer Internet…
View article: Unified Authentication and Access Control for Future Mobile Communication‐Based Lightweight IoT Systems Using Blockchain
Unified Authentication and Access Control for Future Mobile Communication‐Based Lightweight IoT Systems Using Blockchain Open
The Internet of Things (IoT) is a new revolution defined by heterogeneous devices made up of intelligent, omnipresent items that are all hooked up to The internet. These devices are frequently implemented in different areas to offer innova…
View article: Taxonomy on EEG Artifacts Removal Methods, Issues, and Healthcare Applications
Taxonomy on EEG Artifacts Removal Methods, Issues, and Healthcare Applications Open
Electroencephalogram (EEG) signals are progressively growing data widely known as biomedical big data, which is applied in biomedical and healthcare research. The measurement and processing of EEG signal result in the probability of signal…