Suresh Kumar
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View article: Leveraging Artificial Neural Networks for Real-Time Speech Recognition in Voice-Activated Systems
Leveraging Artificial Neural Networks for Real-Time Speech Recognition in Voice-Activated Systems Open
It has further shaped the domain of real-time voice-controlled speech recognition systems. Things like language bias, computational expense and background noise have made strides more difficult in the past. This paper provides a novel view…
View article: Neutrosophic enhanced convolutional neural network for occupancy detection: structured model development and evaluation
Neutrosophic enhanced convolutional neural network for occupancy detection: structured model development and evaluation Open
In this study, we introduce an advanced convolutional neural network (CNN) model tailored for house occupancy detection, designed to accommodate the inherent uncertainties and contradictory information often encountered in sensor dat…
View article: Hesitant fuzzy clustering with convolutional spiking neural network for movie recommendations
Hesitant fuzzy clustering with convolutional spiking neural network for movie recommendations Open
The movie recommender system is one of the most influential and practical tools for aiding individuals in quickly selecting films to watch. Despite numerous academic efforts to employ recommender systems for various purposes, such as movie…
View article: Long COVID: G Protein-Coupled Receptors (GPCRs) Associated Genes and Pathways as a Promising Therapeutic Potential Through Computational Analysis
Long COVID: G Protein-Coupled Receptors (GPCRs) Associated Genes and Pathways as a Promising Therapeutic Potential Through Computational Analysis Open
Long COVID, also referred to as post-COVID-19 condition, describes the lingering after-effects of COVID-19 infection. This complex syndrome encompasses a range of symptoms affecting physical well-being, cognitive function, and mental healt…
View article: Enhancing emotion detection with synergistic combination of word embeddings and convolutional neural networks
Enhancing emotion detection with synergistic combination of word embeddings and convolutional neural networks Open
Recognizing emotions in textual data is crucial in a wide range of natural language processing (NLP) applications, from consumer sentiment research to mental health evaluation. The word embedding techniques play a pivotal role in text proc…
View article: Energy, exergy and economical analysis of N2O based cascade refrigeration system for ultralow temperature cooling applications using different eco-friendly refrigerants in high temperature cycle
Energy, exergy and economical analysis of N2O based cascade refrigeration system for ultralow temperature cooling applications using different eco-friendly refrigerants in high temperature cycle Open
Implementing the Montreal Protocol has limited the use of conventional refrigerants and has led industries to find optimal or economical eco-friendly refrigerants to reduce environmental hazards. The present study analyzes an N2O-based cas…
View article: To Design a Routing Module for IoT Routing Protocols to Address Modification and Manipulation Attacks
To Design a Routing Module for IoT Routing Protocols to Address Modification and Manipulation Attacks Open
Internet of Things devices have become increasingly prevalent in various domains, including smart homes, healthcare, transportation, and industrial automation. As the number of IoT devices continues to grow, so does the potential for secur…
View article: SMART: Secured and Mobility Aware Routing Technique for Opportunistic IoT Network in Smart Cities
SMART: Secured and Mobility Aware Routing Technique for Opportunistic IoT Network in Smart Cities Open
Transferring data between nodes in the Opportunistic Internet of Things (OppIoT) network may lead to the transmission of multiple copies of each message, which can increase communication costs and jeopardise network security. This necessit…
View article: Emotion detection using Word2Vec and convolution neural networks
Emotion detection using Word2Vec and convolution neural networks Open
Emotion detection from text plays a very critical role in different domains, including customer service, social media analysis, healthcare, financial services, education, human-to-computer interaction, psychology, and many more. Nowadays, …
View article: Deep Learning in Computational Biology: Advancements, Challenges, and Future Outlook
Deep Learning in Computational Biology: Advancements, Challenges, and Future Outlook Open
Deep learning has become a powerful tool in computational biology, revolutionising the analysis and interpretation of biological data over time. In our article review, we delve into various aspects of deep learning in computational biology…
View article: Identifying Radical Activity on Social Digital Platform: A Machine Learning Approach
Identifying Radical Activity on Social Digital Platform: A Machine Learning Approach Open
The social media in digital form over internet is getting popularity in recent years. This digital platform is being used by many to share their thought or opinion. Though these social media had given results too many good causes, there ar…
View article: A semi-automated hybrid approach to identify radicalization on social digital platform
A semi-automated hybrid approach to identify radicalization on social digital platform Open
The digital social platform is an important medium for sharing or communicating a message from one person to another or one to many. The growth of internet users and social media use has also led to many adverse consequences. Such a …
View article: Finding K Shortest Paths in a Network Using Genetic Algorithm
Finding K Shortest Paths in a Network Using Genetic Algorithm Open
With the advent of new applications, different service needs come up. These needs could be in the form of reliability in delivering data, capacity amount in a particular range and certain amount of permissible delay. In order to provide hi…
View article: IOT based Industry Automation Using Raspberry PI
IOT based Industry Automation Using Raspberry PI Open
View article: Performance of Energy Conservation Models, Generic, Micaz and Micamotes, using AODV Routing Protocol on a Wireless Sensor Network
Performance of Energy Conservation Models, Generic, Micaz and Micamotes, using AODV Routing Protocol on a Wireless Sensor Network Open
Wireless Sensor Networks (WSN’s) have gained a considerable importance and are used for a variety of applications. In WSN, an arrangement of sensor nodes is done to sense and collect information from its nearby environment and to send it b…
View article: An Extensive Study of Similarity and Dissimilarity Measures Used for Text Document Clustering using K-means Algorithm
An Extensive Study of Similarity and Dissimilarity Measures Used for Text Document Clustering using K-means Algorithm Open
In today's world tremendous amount of unstructured data, especially text, is being generated through various sources.This massive amount of data has lead the researchers to focus on employing data mining techniques to analyse and cluster t…
View article: Network Life Time Analysis of WSNs Using Particle Swarm Optimization
Network Life Time Analysis of WSNs Using Particle Swarm Optimization Open
Today, Wireless Sensor Networks (WSN's) are used at various places in the form of alarm detectors and sensors. Numbers of clustering algorithms have been developed to improve the energy balance of the WSN's because energy is the main aspec…
View article: Energy Efficient Cluster Formation in Wireless Sensor Networks Using Particle Swarm Optimization
Energy Efficient Cluster Formation in Wireless Sensor Networks Using Particle Swarm Optimization Open
Objective: To achieve the maximum possible lifetime of a network by efficient clustering and reducing the energy expended by sensor nodes. Methods/Analysis: Wireless Sensor Networks are an important part in today’s network infrastructure. …
View article: Routing in Networks using Genetic Algorithm
Routing in Networks using Genetic Algorithm Open
With the increase in traffic, internet service providers are trying their best to provide maximum utilization of resources available. The current traffic load has to be taken into account for computation of paths in routing protocols. Netw…
View article: A Teaching Learning Based Optimization Algorithm for Cluster Head Selection in Wireless Sensor Networks
A Teaching Learning Based Optimization Algorithm for Cluster Head Selection in Wireless Sensor Networks Open
In wireless sensor networks, clustering techniques are widely used for cluster heads selection and also to reduce power consumption.Therefore, these techniques are applied to increase network life time and optimum number of CHs.In this wor…
View article: An Efficient K-Means Algorithm and its Benchmarking against Other Algorithms
An Efficient K-Means Algorithm and its Benchmarking against Other Algorithms Open
K-Means is a widely used partition based clustering algorithm famous for its simplicity and speed.It organizes input dataset into predefined number of clusters.K-Means has a major limitation --the number of clusters, K, need to be pre-spec…
View article: An Enhanced Distributed Energy-Efficient Clustering (DEEC) Protocol for Wireless Sensor Networks
An Enhanced Distributed Energy-Efficient Clustering (DEEC) Protocol for Wireless Sensor Networks Open
Wireless Sensor Networks (WSNs) is a warm area of research.WSNs consist of large number of sensor nodes deployed randomly in the sensor field.But, it suffers with several shortcomings such as energy imbalance, processing power, storage, tr…
View article: Improving the Performance of Routing Protocol using Genetic Algorithm
Improving the Performance of Routing Protocol using Genetic Algorithm Open
Internet reliability and performance is based mostly on the underlying routing protocols.The current traffic load has to be taken into account for computation of paths in routing protocols.Addressing the selection of path, from a known sou…
View article: Extension of K-Modes Algorithm for Generating Clusters Automatically
Extension of K-Modes Algorithm for Generating Clusters Automatically Open
K-Modes is an eminent algorithm for clustering data set with categorical attributes.This algorithm is famous for its simplicity and speed.The K-Modes is an extension of the K-Means algorithm for categorical data.Since K-Modes is used for c…
View article: Rule Power Factor: A New Interest Measure in Associative Classification
Rule Power Factor: A New Interest Measure in Associative Classification Open
In data mining it is generally anticipated that revealed knowledge should have characteristics of accuracy, reliability and interestingness. Most of the data mining algorithms find patterns that are accurate and reliable but might not be i…
View article: Relation based Measuring of Semantic Similarity for Web Documents
Relation based Measuring of Semantic Similarity for Web Documents Open
The World Wide Web (WWW) is the information resource centre in which information exists in the structure of web pages which are interlinked with each other.From the huge amount of information present on WWW it has been found difficult to e…