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Chapter and Conference Paper
ELECTRE I-based Zone Head Selection in WSN-Enabled Internet of Things
In Wireless Sensor Network (WSN)-enabled Internet of Things (IoT) environment, potential resource utilization and efficient service delivery are of great interest. In specific, IoT-based networks completely de...
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Article
A Deep Reinforcement Learning-based DDoS Attack Mitigation Scheme for Securing Big Data in Fog-Assisted Cloud Environment
Cloud computing is supported by Fog computing paradigm for achieving local data investigation at edge devices by offering storage support, infrastructure, computing and network facilities to end users. Availab...
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Chapter and Conference Paper
An Infrastructure-Less Communication Platform for Android Smartphones Using Wi-Fi Direct
Real-time indoor positioning systems provide information about localization of devices required for communication. This paper focuses on Device-to-Device (D2D) communication among smartphones for device discov...
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Chapter and Conference Paper
An Adaptive Opposition Learning-Improved Slime Mould Algorithm-Based Optimization Routing for Guaranteeing Reliable Data Dissemination in FANETs
Flying Ad hoc NETwork (FANET) refers to a self-organizing wireless network that facilitates easy, flexible and inexpensive deployment of flying nodes termed as Unmanned Aerial Vehicles (UAVs). These UAVs commu...
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Chapter and Conference Paper
Honey Badger Optimization Algorithm-Based RSU Deployment for Improving Network Coverage in VANETs
Road Side Units (RSUs) installed in roadside, and intersections in Vehicular Ad hoc NETwork (VANET) play an anchor role in aggregating and exploring intelligent data associated with vehicle traffic. These RSUs...
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Chapter and Conference Paper
Content-based Image Retrieval in Cyber-Physical System Modeling of Robots
Cyber-Physical System (CPS) is used in industries and automated plants as they have modern administration abilities and are capable of performing real-time processing in a distributed architecture. In mechanic...
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Chapter and Conference Paper
Iterated Shape-Bias Graph Cut-Based Segmentation for Detecting Cervical Cancer from Pap Smear Cells
Cervical cancer is the most common type of cancer affecting the Indian women population. It is determined to be prevented by periodic screening which identifies and treats precancerous lesions in contrast to o...
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Chapter and Conference Paper
COPRAS-Based Decision-Making Strategy for Optimal Cluster Head Selection in WSNs
In Wireless Sensor Networks (WSNs), reducing the amount of energy consumed and balancing loads are uphill tasks, as reliable data communication completely depends on energy-restricted sensor nodes. Clustering ...
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Chapter and Conference Paper
COVID-19 Diagnosis Based on Deep Features Using Transfer Learning
Coronavirus is a highly contagious disease that infects humans. People’s daily lives, their well-being and national economy are affected by this dangerous viral disease. Though Reverse Transcriptase Polymerase...
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Chapter and Conference Paper
Differential Evolution-Improved Dragonfly Algorithm-Based Optimal Radius Determination Technique for Achieving Enhanced Lifetime in IoT
Internet of Things (IoT) has practically facilitated the option of connecting devices that necessitates cooperation through the Internet. The IoT environment comprises of self-configuring and smart objects tha...
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Chapter and Conference Paper
A Cloud-based Trusted Framework for Industrial Connected Vehicles
To add a member in a distributed network, Vehicular Clouds (VCs) offer better scope for exploration. Incorporation of VCs aids in develo** vehicular frameworks with acute reception. Reliability should be ens...
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Chapter and Conference Paper
Efficient Machine Learning-Based Diagnosis System for Breast Cancer
Machine Learning (ML) algorithms find their application in the field of medicine especially in cancer prognosis enabling early diagnosis and treatment. Breast cancer is the predominant form of cancer occurring...
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Chapter and Conference Paper
Improved Rider Optimization Algorithm-Based Link Aware Fault Detection (IROA-LAFD) Scheme for Securing Mobile Ad Hoc Networks (MANETs)
Securing communication in a dynamic network like Mobile Ad hoc Network (MANET) is considered as a crucial and demanding task. A number of diversified works are developed in the literature for mitigating harmfu...
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Chapter and Conference Paper
A Hybrid Algorithm for Document Clustering Using Optimized Kernel Matrix and Unsupervised Constraints
Document clustering plays a dominant role in data mining, and grou** of data makes information retrieval easier. Significant information can be mined from a collection of documents by clustering them effecti...
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Chapter and Conference Paper
Integrated IoT Blockchain-Based Smart Agriculture System
Smart irrigation and automated crop field cultivation are innovative applications in the field of IoT. In this paper, an IoT-based agricultural information monitoring system involving IoT devices is designed. ...
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Chapter and Conference Paper
Deep Learning-based Stock Market Prediction
Predictions on stock market and foreign currency exchange is a hot area of research. Stock market prediction is always challenging due to the non-linearity and instability nature of financial time series data....
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Chapter and Conference Paper
Classification of COVID-19 Tweets Using Deep Learning Classifiers
Coronavirus (COVID-19) is a major threat to the country. People get scared on seeing the posts related to COVID-19 on the social media. This paper focusses on this issue and applies Natural Language Processin...
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Chapter and Conference Paper
Deep Learning Algorithms based Vehicle Mobility Prediction from Satellite Imagery During Pandemic
The COVID-19 epidemic has made governments around the world to enforce lockdowns and isolations to stop the spread of virus. Both human and financial activities are affected throughout the globe. It takes tim...
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Chapter and Conference Paper
Emperor Penguin Optimization Algorithm and M-Tree-Based Multi-Constraint Multicast Ad Hoc On-Demand Distance Vector Routing Protocol for MANETs
Multicast based routing in ad hoc networks is considered essential for attaining reliable data dissemination. However, trusted data transmission can be achieved by using optimal multicast trees that aid in bet...
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Article
Raccoon optimization algorithm-based accurate positioning scheme for reliable emergency data dissemination under NLOS situations in VANETs
In emergency situations, cooperative positioning of vehicular nodes is essential for facilitating precise and stable information for achieving reliable data dissemination in Vehicular Ad hoc NETworks (VANETs)....