Amit Kumar Mishra
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View article: Highly Effective HF Band Antenna in a Square Loop Configuration for Military Vehicle
Highly Effective HF Band Antenna in a Square Loop Configuration for Military Vehicle Open
High-frequency (HF) vehicular antennas play a crucial role in secure and reliable military communication, where satellite-based systems often face limitations such as dependence on third-party infrastructure and data vulnerability. This pa…
View article: Application of Multispectral Imagery and Synthetic Aperture Radar Sensors for Monitoring Algal Blooms: A Review
Application of Multispectral Imagery and Synthetic Aperture Radar Sensors for Monitoring Algal Blooms: A Review Open
Water pollution is a growing concern for aquatic ecosystems worldwide, with threats like plastic waste, nutrient pollution, and oil spills harming biodiversity and impacting human health, fisheries, and local economies. Traditional methods…
View article: Investigation of Cybersecurity Bottlenecks of AI Agents in Industrial Automation
Investigation of Cybersecurity Bottlenecks of AI Agents in Industrial Automation Open
The growth of Agentic AI systems in Industrial Automation has brought forth new cybersecurity issues which in turn put at risk the reliability and integrity of these systems. In this study we look at the cybersecurity issues in industrial …
View article: Cultural Adaptation and Validation of the Hindi Version of Malocclusion Impact Scale for Early Childhood for Assessing Oral Health-related Quality of Life in Indian Preschool Children
Cultural Adaptation and Validation of the Hindi Version of Malocclusion Impact Scale for Early Childhood for Assessing Oral Health-related Quality of Life in Indian Preschool Children Open
Kalra G, Nangia T, Goyal V, et al. Cultural Adaptation and Validation of the Hindi Version of Malocclusion Impact Scale for Early Childhood for Assessing Oral Health-related Quality of Life in Indian Preschool Children. Int J Clin P…
View article: AEDMA-NDMAI: Automatic Extraction and Daily Monitoring of Algal Blooms Using Normalized Difference MODIS Algae Index
AEDMA-NDMAI: Automatic Extraction and Daily Monitoring of Algal Blooms Using Normalized Difference MODIS Algae Index Open
Algal blooms are ecological phenomena with long-lasting effects on the ecosystem and on the climate. Often, they reduce the oxygen level underwater, creating adverse circumstances for aquatic species’ survival, development, and reproductio…
View article: MatCubes: A Modular and Agile IoT Platform for Diverse Applications
MatCubes: A Modular and Agile IoT Platform for Diverse Applications Open
In this paper we present MatCubes, a revolutionary internet of things (IoT) platform that employs a modular and adaptable approach to sensing technology. This system consists of small cubes, each containing common interfaces for power sup…
View article: Variational Autoencoder for Calibration: A New Approach
Variational Autoencoder for Calibration: A New Approach Open
In this paper we present a new implementation of a Variational Autoencoder (VAE) for the calibration of sensors. We propose that the VAE can be used to calibrate sensor data by training the latent space as a calibration output. We discuss …
View article: Inconsistencies in Longitude Standard in the International Arctic Buoy Programme Data and Potential Implications
Inconsistencies in Longitude Standard in the International Arctic Buoy Programme Data and Potential Implications Open
The International Arctic Buoy Programme (IABP) has been collecting environmental data in the Arctic since 1979, contributing to over 1000 publications across multiple scientific disciplines. The IABP Level 1 and C data sets are extensively…
View article: Shadow AI: Cyber Security Implications, Opportunities and Challenges in the Unseen Frontier
Shadow AI: Cyber Security Implications, Opportunities and Challenges in the Unseen Frontier Open
The progression of artificial intelligence (AI) technologies has reached a level that greatly enhances the different organizational sectors by facilitating them with the means to advance and improve systems and processes. Shadow AI implies…
View article: Machine Learning-Based Harvest Date Detection and Prediction Using SAR Data for the Vojvodina Region (Serbia)
Machine Learning-Based Harvest Date Detection and Prediction Using SAR Data for the Vojvodina Region (Serbia) Open
Information on the harvest date of crops can help with logistics management in the agricultural industry, planning machinery operations and also with yield prediction modelling. In this study, the determination and prediction of harvest da…
View article: AI Meets Chemistry: Unlocking New Frontiers in Molecular Design and Reaction Prediction
AI Meets Chemistry: Unlocking New Frontiers in Molecular Design and Reaction Prediction Open
Artificial intelligence (AI) is revolutionising chemical research by significantly enhancing automated experimental processes, reaction prediction, and molecular design. Despite these advances, problems with data quality, computational res…
View article: Latent Outlier Exposure in Real-Time Anomaly Detection at the Large Hadron Collider
Latent Outlier Exposure in Real-Time Anomaly Detection at the Large Hadron Collider Open
We propose a novel approach to real-time anomaly detection at the Large Hadron Collider, aimed at enhancing the discovery potential for new fundamental phenomena in particle physics. Our method leverages the Latent Outlier Exposure techniq…
View article: Review on HF Band Vehicular Antenna with NVIS Communication
Review on HF Band Vehicular Antenna with NVIS Communication Open
Antennas play a fundamental role in modern communication systems by facilitating signal transmission and reception across various frequency bands. Each antenna is designed for specific applications based on its operating frequency range. W…
View article: Dual Stream Encoder–Decoder Architecture with Feature Fusion Model for Underwater Object Detection
Dual Stream Encoder–Decoder Architecture with Feature Fusion Model for Underwater Object Detection Open
Underwater surveillance is an imminent and fascinating exploratory domain, particularly in monitoring aquatic ecosystems. This field offers valuable insights into underwater behavior and activities, which have broad applications across var…
View article: Machine Learning Based Extraction of Boundary Conditions from Doppler Echo Images for Patient Specific Coarctation of the Aorta: Computational Fluid Dynamics Study
Machine Learning Based Extraction of Boundary Conditions from Doppler Echo Images for Patient Specific Coarctation of the Aorta: Computational Fluid Dynamics Study Open
Patient-specific computational fluid dynamics (CFD) studies on coarctation of the aorta (CoA) in resource-constrained settings are limited by the available imaging modalities for geometry and velocity data acquisition. Doppler echocardiogr…
View article: EcoSonicML: Harnessing Machine Learning for Biodiversity Monitoring in South African Wetlands
EcoSonicML: Harnessing Machine Learning for Biodiversity Monitoring in South African Wetlands Open
Biodiversity monitoring, particularly in a country as diverse as South Africa with its extensive migratory bird population, presents significant challenges. This challenge becomes even more pronounced in environments with a multitude of co…
View article: RETRACTED: Hybrid Metaheuristic Algorithm based energy efficient Authentication method for IoT enable edge computing
RETRACTED: Hybrid Metaheuristic Algorithm based energy efficient Authentication method for IoT enable edge computing Open
The authors have requested that this preprint be removed from Research Square.
View article: Author Index
Author Index Open
View article: PARC 2024 Author Index
PARC 2024 Author Index Open
View article: Balancing Innovation and Privacy: The Role of AI Governance in Shaping Data Protection Jurisprudence under the Digital Personal Data Protection Act, 2023
Balancing Innovation and Privacy: The Role of AI Governance in Shaping Data Protection Jurisprudence under the Digital Personal Data Protection Act, 2023 Open
View article: Statistical Study of Sensor Data and Investigation of ML-Based Calibration Algorithms for Inexpensive Sensor Modules: Experiments From Cape Point
Statistical Study of Sensor Data and Investigation of ML-Based Calibration Algorithms for Inexpensive Sensor Modules: Experiments From Cape Point Open
In this paper we present the statistical analysis of data from inexpensive sensors. We also present the performance of machine learning algorithms when used for automatic calibration such sensors. In this we have used low-cost Non-Dispersi…
View article: Intelligent Reflecting Surfaces (IRS)-Enhanced Cooperative NOMA: A Contemporary Review
Intelligent Reflecting Surfaces (IRS)-Enhanced Cooperative NOMA: A Contemporary Review Open
The integration of intelligent reflecting surfaces (IRS) into cooperative non-orthogonal multiple access (NOMA) systems revolutionizes wireless networks by enhancing signal strength, mitigating interference, and optimizing spectral efficie…
View article: Mapping Phytoplankton and Algal Blooms With a Novel Multisensor Water Index
Mapping Phytoplankton and Algal Blooms With a Novel Multisensor Water Index Open
Multispectral satellite imageries (MSIs) are strong enough to delineate features of interest by suppressing others. The water index is a method applied to delineate the water features by combining the multispectral band images. This resear…
View article: Heart Disease Detection using Vision-Based Transformer Models from ECG Images
Heart Disease Detection using Vision-Based Transformer Models from ECG Images Open
Heart disease, also known as cardiovascular disease, is a prevalent and critical medical condition characterized by the impairment of the heart and blood vessels, leading to various complications such as coronary artery disease, heart fail…
View article: MANET Congestion Control Mechanism - Challenges and Survey
MANET Congestion Control Mechanism - Challenges and Survey Open
The transport layer plays a crucial role in the Mobile Adhoc Network (MANET) protocol stack by controlling traffic flow, managing congestion, and enabling end-to-end delivery. With the help of congestion control mechanisms, numerous protoc…
View article: Causes and Remedies of High Jet Pipe Temperature in Turbo Shaft Engines : Case Studies
Causes and Remedies of High Jet Pipe Temperature in Turbo Shaft Engines : Case Studies Open
Jet Pipe Temperature (JPT) is a representation of Turbine Entry Temperature (TET) and is one of the most critical parameters in a gas turbine engine. Excessive turbine temperatures result in decreased life or catastrophic failure of the en…
View article: Performance Analysis of NOMA System with QoS-Guarantee Scheme
Performance Analysis of NOMA System with QoS-Guarantee Scheme Open
With an objective of connecting everyone and everything in beyond 5th-generation and 6th-generation wireless communication systems, there is a need for scalability in the access network. Non-orthogonal multiple access (NOMA) is considered …
View article: Analysis of Arctic Buoy Dynamics using the Discrete Fourier Transform and Principal Component Analysis
Analysis of Arctic Buoy Dynamics using the Discrete Fourier Transform and Principal Component Analysis Open
Sea-Ice drift affects various global processes including the air-sea-ice\nenergy system, numerical ocean modelling, and maritime activity in the polar\nregions. Drift has been investigated via various technologies ranging from\nsatellite b…
View article: A Propagation-model Empowered Solution for Blind-Calibration of Sensors
A Propagation-model Empowered Solution for Blind-Calibration of Sensors Open
Calibration of sensors is a major challenge especially in inexpensive sensors and sensors installed in inaccessible locations. The feasibility of calibrating sensors without the need for a standard sensor is called blind calibration. There…
View article: Agile Climate-Sensor Design and Calibration Algorithms Using Machine Learning: Experiments From Cape Point
Agile Climate-Sensor Design and Calibration Algorithms Using Machine Learning: Experiments From Cape Point Open
In this paper, we describe the design of an inexpensive and agile climate sensor system which can be repurposed easily to measure various pollutants. We also propose the use of machine learning regression methods to calibrate CO2 data from…