Mukesh A. Zaveri
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View article: BEACON: Beam Prediction with Efficiency for Advanced V2I Communication Networks
BEACON: Beam Prediction with Efficiency for Advanced V2I Communication Networks Open
Millimeter-wave (mmWave) and terahertz (THz) frequencies enable high data rate applications in modern wireless communication, with vehicle-to-everything (V2X) communication being critical for traffic management, safety, and autonomous driv…
View article: Essential Secret Image Sharing Scheme With Flexible Reconstruction, Reduced Share Storage Costs, and Faster Shares Generation
Essential Secret Image Sharing Scheme With Flexible Reconstruction, Reduced Share Storage Costs, and Faster Shares Generation Open
We propose a Essential Secret Image Sharing scheme using Linear Homogeneous Recurrence Relation and polynomials for sharing a grayscale or color secret image in the semihonest model. In our scheme, the dealer generates essential and noness…
View article: Dynamic Spectrum Coexistence of NR-V2X and Wi-Fi 6E Using Deep Reinforcement Learning
Dynamic Spectrum Coexistence of NR-V2X and Wi-Fi 6E Using Deep Reinforcement Learning Open
The deployment of 5G NR-based Cellular-V2X, i.e., the NR-V2X standard, is a promising solution to meet the increasing demand for vehicular data transmission in the low-frequency spectrum. The high throughput requirement of NR-V2X users can…
View article: SISS‐CSA: Secret image sharing scheme with ciphertext‐based share authentication for malicious model
SISS‐CSA: Secret image sharing scheme with ciphertext‐based share authentication for malicious model Open
We propose a novel secret image sharing scheme with ciphertext‐based share authentication (SISS‐CSA) for sharing grayscale and color secret images in the malicious model. In SISS‐CSA, the dealer and each participant, individually acting as…
View article: An automatic humor identification model with novel features from Berger’s typology and ensemble models
An automatic humor identification model with novel features from Berger’s typology and ensemble models Open
Humor identification in text is essential for natural language understanding, impacting human–computer interactions and emotion recognition. This study introduces a novel approach to automatic humor identification in text using ensemble le…
View article: Review of: "Multivariate Time-Series Data Generation in Generative Adversarial Networks"
Review of: "Multivariate Time-Series Data Generation in Generative Adversarial Networks" Open
Potential competing interests: No potential competing interests to
View article: Harnessing Emotive Features for Emotion Recognition from Text
Harnessing Emotive Features for Emotion Recognition from Text Open
With the prevalence of affective computing, emotion recognition becomes vital in any work related to natural language understanding. The inspiration for this work is provided by supplying machines with complete emotional intelligence and i…
View article: Resource Scheduling for Postdisaster Management in IoT Environment
Resource Scheduling for Postdisaster Management in IoT Environment Open
For postdisaster management, rescue and recovery operations are very critical. It is desired that the rescue and recovery operation should be handled through efficient resource management to minimize the postdisaster effects in terms of hu…
View article: Multiobjective Based Resource Allocation and Scheduling for Postdisaster Management Using IoT
Multiobjective Based Resource Allocation and Scheduling for Postdisaster Management Using IoT Open
Disaster is an uncertain phenomenon that arises due to natural as well as man-made calamities. Disaster often causes a high degree of destruction, especially in a very densely populated region. To handle such a situation, efficient resourc…
View article: Graph Based Filtering and Matching for Symbol Recognition
Graph Based Filtering and Matching for Symbol Recognition Open
Pattern recognition is a task of searching particular patterns or features in the given input. The data mining, computer networks, genetic engineering, chemical structure analysis, web services etc. are few rapidly growing applications whe…
View article: UAV-based Localization for Layered Framework of the Internet of Things
UAV-based Localization for Layered Framework of the Internet of Things Open
The Internet of Things environment consists of a large amount of devices deployed in the terrain that operate to accomplish different tasks. There are different applications operating in such an environment, which requires various types of…
View article: Clustering Approaches for Pragmatic Two‐Layer IoT Architecture
Clustering Approaches for Pragmatic Two‐Layer IoT Architecture Open
Connecting all devices through Internet is now practical due to Internet of Things. IoT assures numerous applications in everyday life of common people, government bodies, business, and society as a whole. Collaboration among the devices i…
View article: SVNIT $@$ SemEval 2017 Task-6: Learning a Sense of Humor Using Supervised Approach
SVNIT $@$ SemEval 2017 Task-6: Learning a Sense of Humor Using Supervised Approach Open
This paper describes the system devel-oped for SemEval 2017 task 6: #HashTagWars -Learning a Sense of Hu-mor. Learning to recognize sense of hu-mor is the important task for language understanding applications. Different set of features ba…
View article: Event Localization in the Internet of Things Environment
Event Localization in the Internet of Things Environment Open
The Internet of Things environment supports the device-to-device communication. These devices respond to the events generated to serve various applications. The processing of these applications need reliable data dissemination to achieve a…
View article: Task Based Resource Scheduling in IoT Environment for Disaster Management
Task Based Resource Scheduling in IoT Environment for Disaster Management Open
Poor resource management may lead to loss of many lives and affects the economy. During the disasters, communication networks are destroyed and re-establishment of dynamic network is a challenging issue. However, Internet of Things is an a…
View article: Hierarchical Clustering for Dynamic and Heterogeneous Internet of Things
Hierarchical Clustering for Dynamic and Heterogeneous Internet of Things Open
Internet of Things has gained significant attention over the last decade in academia and in industry because it offers a wide range of applications. Imagining that the devices in the world are going to perform tasks together, the non-trivi…