Ravi Sekhar
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View article: Enhancing Random Forest Model Accuracy using GridSearchCV Optimization for Predicting Multi-Cylinder Engine Performance with Hydrogen-Enriched Natural Gas Blends
Enhancing Random Forest Model Accuracy using GridSearchCV Optimization for Predicting Multi-Cylinder Engine Performance with Hydrogen-Enriched Natural Gas Blends Open
Diesel generators (gensets) are essential in India for industries, construction, agriculture, and as backup power for hospitals and data centres. Common fuels include diesel, petrol, natural gas, and, increasingly, solar energy, with hybri…
View article: HalluDetect: Detecting, Mitigating, and Benchmarking Hallucinations in Conversational Systems in the Legal Domain
HalluDetect: Detecting, Mitigating, and Benchmarking Hallucinations in Conversational Systems in the Legal Domain Open
Large Language Models (LLMs) are widely used in industry but remain prone to hallucinations, limiting their reliability in critical applications. This work addresses hallucination reduction in consumer grievance chatbots built using LLaMA …
View article: Nyay-Darpan: Enhancing Decision Making Through Summarization and Case Retrieval for Consumer Law in India
Nyay-Darpan: Enhancing Decision Making Through Summarization and Case Retrieval for Consumer Law in India Open
AI-based judicial assistance and case prediction have been extensively studied in criminal and civil domains, but remain largely unexplored in consumer law, especially in India. In this paper, we present Nyay-Darpan, a novel two-in-one fra…
View article: $\textit{Grahak-Nyay:}$ Consumer Grievance Redressal through Large Language Models
$\textit{Grahak-Nyay:}$ Consumer Grievance Redressal through Large Language Models Open
Access to consumer grievance redressal in India is often hindered by procedural complexity, legal jargon, and jurisdictional challenges. To address this, we present $\textbf{Grahak-Nyay}$ (Justice-to-Consumers), a chatbot that streamlines …
View article: Impact of Hydrogen-Enriched CNG on Combustion Phasing, Fuel Efficiency, and Emissions in a Multi-Cylinder Spark-Ignition Engine under Varying Loads
Impact of Hydrogen-Enriched CNG on Combustion Phasing, Fuel Efficiency, and Emissions in a Multi-Cylinder Spark-Ignition Engine under Varying Loads Open
View article: Recent Advances in Energy-Efficient Fractional-Order PID Control for Industrial PLC-Based Automation: A Review
Recent Advances in Energy-Efficient Fractional-Order PID Control for Industrial PLC-Based Automation: A Review Open
Through intelligent control and data-driven decision-making, Industry 4.0 transforms industrial automation by combining the digital, physical, and virtual worlds. The use of advanced control techniques, especially Fractional-Order PID (FOP…
View article: Strengthening cloud data protection based on a novel cyber security framework
Strengthening cloud data protection based on a novel cyber security framework Open
Cybersecurity involves protecting computer networks, systems, and data from unauthorized access and disruptions using advanced technologies. The purpose of this research is to establish a novel cyber security framework for strengthening cl…
View article: Predictive Modelling of Personal Remittances Received in India Using Machine Learning
Predictive Modelling of Personal Remittances Received in India Using Machine Learning Open
View article: Cycle-to-Cycle Combustion Stability Evaluation of HCNG Blends in Multi-Cylinder Engines via Coefficient of Variation Analysis
Cycle-to-Cycle Combustion Stability Evaluation of HCNG Blends in Multi-Cylinder Engines via Coefficient of Variation Analysis Open
View article: Revolutionizing Wireless Sensor Networks through an Effective Approach for Quality of Service Enhancement
Revolutionizing Wireless Sensor Networks through an Effective Approach for Quality of Service Enhancement Open
Data Collection of Wireless Sensor Networks (WSN) are integral parts of modern technology in various fields. Nonetheless, due to inherent limitations like energy, bandwidth, and computation, a prominent challenge that arises is providing Q…
View article: A Cognitive Energy-Driven Routing Strategy for Ultra-Efficient Data Transfer in Wireless Sensor Networks
A Cognitive Energy-Driven Routing Strategy for Ultra-Efficient Data Transfer in Wireless Sensor Networks Open
WSNs deploy multi-hop routes to transfer information from distributed nodes to central points because of their established use for environmental inspection and data acquisition. The effective transmission of data plays a critical role in W…
View article: Integrating Deep Learning into Location-Aided Routing (LAR) for Enhanced Mobile Ad-Hoc Networks (MANET): A Comprehensive Survey
Integrating Deep Learning into Location-Aided Routing (LAR) for Enhanced Mobile Ad-Hoc Networks (MANET): A Comprehensive Survey Open
View article: Performance and In-cylinder Combustion Analysis of Gasoline Ethanol Fueled Spark-Ignition Engine
Performance and In-cylinder Combustion Analysis of Gasoline Ethanol Fueled Spark-Ignition Engine Open
View article: Optimizing Small-Scale Wind Energy Generation: Site-Specific Wind Speed Analysis and Turbine Placement Strategies
Optimizing Small-Scale Wind Energy Generation: Site-Specific Wind Speed Analysis and Turbine Placement Strategies Open
Wind is an effective renewable power source suitable for localized electricity production when regional environmental factors have substantial impact on system output. The research studies the best wind turbine placement through wind speed…
View article: Optimization of Harmonic Elimination in PV-Fed Asymmetric Multilevel Inverters Using Evolutionary Algorithms
Optimization of Harmonic Elimination in PV-Fed Asymmetric Multilevel Inverters Using Evolutionary Algorithms Open
Modern power electronics depend heavily on Multilevel Inverters (MLIs) to drive high-power systems operating in renewable energy systems electric vehicles along with industrial motor drives. MLIs create AC signals of high quality by joinin…
View article: Utilizing a Novel Deep Learning Method for Scene Categorization in Remote Sensing Data
Utilizing a Novel Deep Learning Method for Scene Categorization in Remote Sensing Data Open
Scene categorization (SC) in remotely acquired images is an important subject with broad consequences in different fields, including catastrophe control, ecological observation, architecture for cities, and more. Nevertheless, its several …
View article: Optimized Selective Harmonic Elimination in CHB-MLI Using Red-Tailed Hawk Algorithm for Unequal DC Sources
Optimized Selective Harmonic Elimination in CHB-MLI Using Red-Tailed Hawk Algorithm for Unequal DC Sources Open
The study develops an optimized SHE procedure to regulate a CHB-MLI powered by PV modules which use unequal DC sources. The main goal involves finding suitable switching angles that produce minimal low-order harmonics during steady output …
View article: Pharmacokinetics Based Suggestive Model Predictive Control for Inspired Respiratory Anesthetic Drug Delivery in Patients Undergoing Surgery
Pharmacokinetics Based Suggestive Model Predictive Control for Inspired Respiratory Anesthetic Drug Delivery in Patients Undergoing Surgery Open
View article: Experimental Investigation and Prediction of Combustion Parameters using Machine Learning in Ethanol - Gasoline Blended Engines
Experimental Investigation and Prediction of Combustion Parameters using Machine Learning in Ethanol - Gasoline Blended Engines Open
Alternative fuels play an important role in eco-friendly transport solutions. Wider adoption of alternative blended fuels in automobiles is dependent on a better understanding of the blended fuel engine characteristics. This paper presents…
View article: Analysis of the Surface Quality Characteristics in Hard Turning Under a Minimal Cutting Fluid Environment
Analysis of the Surface Quality Characteristics in Hard Turning Under a Minimal Cutting Fluid Environment Open
This paper analyzes the surface quality characteristics, such as arithmetic average roughness (Ra), maximum peak-to-valley height (Rt), and average peak-to-valley height (Rz), in hard turning of AISI 52100 steel using a (TiN/TiCN/Al2O3) co…
View article: HalluDetect: Detecting, Mitigating, and Benchmarking Hallucinations in Conversational Systems in the Legal Domain
HalluDetect: Detecting, Mitigating, and Benchmarking Hallucinations in Conversational Systems in the Legal Domain Open
View article: An Experimental Investigation of Unregulated Pollutants from a Multi-Cylinder Diesel Engine: Impact of Ethanol Blending on Aldehyde Emissions
An Experimental Investigation of Unregulated Pollutants from a Multi-Cylinder Diesel Engine: Impact of Ethanol Blending on Aldehyde Emissions Open
View article: Revolutionizing Urban Water Management: A Green-Aware Study Based on Innovative Approach
Revolutionizing Urban Water Management: A Green-Aware Study Based on Innovative Approach Open
View article: Noise robust classification of carbide tool wear in machining mild steel using texture extraction based transfer learning approach for predictive maintenance
Noise robust classification of carbide tool wear in machining mild steel using texture extraction based transfer learning approach for predictive maintenance Open
View article: Performance Analysis of Advanced Encryption Standards for Voice Cryptography with Multiple Patterns
Performance Analysis of Advanced Encryption Standards for Voice Cryptography with Multiple Patterns Open
View article: Automated surface roughness classification using robot vision
Automated surface roughness classification using robot vision Open
View article: Enhanced Support Vector Machine-Based Intelligent Classification of Trusted Nodes in WBAN for Resilient Infrastructure
Enhanced Support Vector Machine-Based Intelligent Classification of Trusted Nodes in WBAN for Resilient Infrastructure Open
View article: Innovative Progress in Phased-Array Antenna Systems for Ultra-Low Latency and High-Speed Communication Networks for Resilient Infrastructure
Innovative Progress in Phased-Array Antenna Systems for Ultra-Low Latency and High-Speed Communication Networks for Resilient Infrastructure Open
This paper delves into the recent advancements in phased-array antenna systems, focusing on their application in low earth orbit (LEO) satellite systems and their implications for high-speed, low-latency communication networks.The escalati…
View article: Network Fortification: Leveraging Support Vector Machine for Enhanced Security in Wireless Body Area Networks
Network Fortification: Leveraging Support Vector Machine for Enhanced Security in Wireless Body Area Networks Open
This study focuses on enhancing security in wireless body area networks (WBANs) through the application of Support Vector Machine (SVM)-based anomaly detection.The main problem addressed is the insufficient attention to security measures i…
View article: Exploring Anomalous Relaxation Models in Prime Number Distribution and Their Relevance to Sustainable Development Education
Exploring Anomalous Relaxation Models in Prime Number Distribution and Their Relevance to Sustainable Development Education Open