R. Sumathi
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View article: AI-Driven Attack Detection and Cryptographic Privacy Protection for Cyber-Resilient Industrial Control Systems
AI-Driven Attack Detection and Cryptographic Privacy Protection for Cyber-Resilient Industrial Control Systems Open
Industrial control systems (ICS) are increasingly vulnerable to evolving cyber threats due to the convergence of operational and information technologies. This research presents a robust cybersecurity framework that integrates machine lear…
View article: Literature and Medicine: A General Survey of Camaraderie
Literature and Medicine: A General Survey of Camaraderie Open
The faculty of literary inquiry keeps expanding at every moment. It has become unimaginably interdisciplinary. While medical humanities seek literary applications to enhance the humane component in the medical pedagogy and practice, the li…
View article: Enhancing network lifetime in wireless sensor networks through coverage-aware optimized sensor activation
Enhancing network lifetime in wireless sensor networks through coverage-aware optimized sensor activation Open
Wireless sensor networks (WSNs) are a pivotal technology in the modern era, enabling the monitoring and sensing of environmental conditions across vast areas with unprecedented precision and flexibility. At the heart of WSNs lie crucial ch…
View article: A Novel Model for Predicting Stock Index Trends through Hybrid Observed Mode Decomposition-Based Optimized Dynamic Sequential Extreme Learning Machine
A Novel Model for Predicting Stock Index Trends through Hybrid Observed Mode Decomposition-Based Optimized Dynamic Sequential Extreme Learning Machine Open
In the dynamic field of financial markets, the precise prediction of Stock Index Trends (SIT) has long been a significant objective for investors and traders. As global markets evolve, conventional models encounter challenges in keeping ab…
View article: Stacked Optimized Ensemble Machine Learning Model for Predicting Stock Trends through Candlestick Chart Analysis with Feature Engineering Approach
Stacked Optimized Ensemble Machine Learning Model for Predicting Stock Trends through Candlestick Chart Analysis with Feature Engineering Approach Open
The process of predicting stock trends through the analysis of Candlestick Charts (CCs) involves interpreting the patterns formed by these candlesticks to make informed predictions about future price movements. Utilizing Machine Learning (…
View article: Public Transit Bus Travel Time Variability Analysis Using Limited Datasets: A Case Study
Public Transit Bus Travel Time Variability Analysis Using Limited Datasets: A Case Study Open
Public transit service is a sustainable and eco-friendly alternative for commuting, and promoting its usage is the need of the day. An understanding of the variability of travel time can aid service operators to improve the reliability and…
View article: AlgoDM: algorithm to perform aspect-based sentiment analysis using IDistance matrix
AlgoDM: algorithm to perform aspect-based sentiment analysis using IDistance matrix Open
Sentiment analysis is a method of analyzing data to identify its intent. It identifies the emotional tone of a text body. Aspect-based sentiment analysis is a text analysis technique that identifies the aspect and the sentiment associated …
View article: A Systematic Framework for Designing and Implementing Outcome-Based Curriculum in Engineering Education: A Comprehensive Approach
A Systematic Framework for Designing and Implementing Outcome-Based Curriculum in Engineering Education: A Comprehensive Approach Open
— Higher educational institutions and Universities are facing challenges to produce skilled graduates capable of addressing anticipated industry needs. This is due to implementation of traditional curricula and adoption of teacher centric …
View article: Inventory of Tettigoniidae (Orthoptera) in India
Inventory of Tettigoniidae (Orthoptera) in India Open
In four Indian states-Bihar, Odisha, Jharkhand, and West Bengal-sixteen species of Tettigoniidae, representing ten genera and five subfamilies, have been identified in various habitats, including forestlands, grasslands, arable lands, and …
View article: Rice leaf disease detection using machine learning technique
Rice leaf disease detection using machine learning technique Open
India is one of the hugest rice cultivating country in the world. For thousands of years rice is a most major food, consequently every mankind depends on it directly and indirectly. But the Main hindrance in rice production is rice leaf di…
View article: Intelligent traffic signal controller for heterogeneous traffic using reinforcement learning
Intelligent traffic signal controller for heterogeneous traffic using reinforcement learning Open
A traffic signal controller is an essential part of a signalized intersection to alleviate congestion and pollution by ensuring safety. However, the available research solutions are focused on homogeneous traffic scenarios, whereas heterog…
View article: Hybrid travel time estimation model for public transit buses using limited datasets
Hybrid travel time estimation model for public transit buses using limited datasets Open
A reliable transit service can motivate commuters to switch their travelingmode from private to public. Providing necessary information to passengerswill reduce the uncertainties encountered during their travel and improveservice reliabili…
View article: Performance Evaluation of Energy Efficient Optimized Routing Protocol for WBANs Using PSO Protocol
Performance Evaluation of Energy Efficient Optimized Routing Protocol for WBANs Using PSO Protocol Open
A Wireless Body Area Network (WBAN) is a network that may be worn on the human body or implanted in the human body to transmit data, audio, and video in real-time to assess how vital organs are performing. A WBAN may be either an inter-WBA…
View article: Curriculum Compliance Improvement Model for Addressing Program Outcomes in Engineering Education
Curriculum Compliance Improvement Model for Addressing Program Outcomes in Engineering Education Open
- The teaching-learning methodology in the engineering education system is moving from a teacher-centric model to a student-centric model. The student-centered learning model is a method of learning or teaching that keeps the learner at th…
View article: Reinforcement learning based traffic signal controller with state reduction
Reinforcement learning based traffic signal controller with state reduction Open
View article: SentiNeg
SentiNeg Open
Sentiment analysis is the process of identifying and categorizing opinions computationally to determine the attitude expressed in the spoken or written text as positive, negative, or neutral. Negation analysis is the task of analyzing the …
View article: SMART Emergency Vehicle Management at Signalized Intersection using Machine Learning
SMART Emergency Vehicle Management at Signalized Intersection using Machine Learning Open
<h2>Abstract</h2>\n<p><strong>Objective:</strong> Primary objective of the article is to develop a machine-learningbased pre-emptive traffic signal controller to ensure the free flow of an emergency vehic…
View article: Variability Analysis of Isolated Intersections Through Case Study
Variability Analysis of Isolated Intersections Through Case Study Open
Population and economic growth of urban areas have led to intensive use of\nprivate vehicles, thereby increasing traffic volume and congestion on roads.\nThe traffic management in the city is a challenge for concerned authorities,\nand the…
View article: A Comparative Analysis of Machine Learning Algorithms in Design Process of Adaptive Traffic Signal Control System
A Comparative Analysis of Machine Learning Algorithms in Design Process of Adaptive Traffic Signal Control System Open
In recent decades machine learning technology has proved its efficiency in most sectors by making human life easier. With this popularity and efficiency, it is applied to design traffic signal control systems to mitigate traffic congestion…
View article: Bus Travel Time Prediction: A Comparative Study of Linear and Non-Linear Machine Learning Models
Bus Travel Time Prediction: A Comparative Study of Linear and Non-Linear Machine Learning Models Open
Congested roads are a global problem, and increased usage of private vehicles is one of the main reasons for congestion. Public transit modes of travel are a sustainable and eco-friendly alternative for private vehicle usage, but attractin…
View article: Dynamic Compilation of Pattern based clustering and Volumetric Probabilistic Mining for Network Routing in Cognitive Radio Sensor Networks
Dynamic Compilation of Pattern based clustering and Volumetric Probabilistic Mining for Network Routing in Cognitive Radio Sensor Networks Open
Objectives: The key objective is to investigate the current state of the art in web service prediction systems and also to improve the retrieving process with improved accuracy and to reduce the searching time. As well as…
View article: Enhanced Artificial Bee Colony method for node deployment and routing in Wireless Sensor Networks
Enhanced Artificial Bee Colony method for node deployment and routing in Wireless Sensor Networks Open
Wireless networks provide small sensing, machine and wireless networking nodes. Different designs and implementation techniques were built based on the device requirements for wireless network sensors (WSN). Sensor networks are used in var…
View article: Correlative Dynamic Mapping based Optimization (CDMO) for Optimal Allocation in Cognitive Radio Sensor Network
Correlative Dynamic Mapping based Optimization (CDMO) for Optimal Allocation in Cognitive Radio Sensor Network Open
The data communication in the sensor networking system with cognitive radio sensor network increases the speed of packet transmission by the optimal spectrum allocation among available channel. For a large size of network architecture, the…
View article: Artificial Neural Network Approach using Mobile Agent for Localization in Wireless Sensor Networks
Artificial Neural Network Approach using Mobile Agent for Localization in Wireless Sensor Networks Open
Wireless sensor networks (WSNs) are having large demands in enormous applications for the decade.The main issue in WSNs is estimating the exact location of unknown nodes.All applications are dependent on the location information of unknown…
View article: Design and Development of an Energy Efficient Algorithm for Data Aggregation in Wireless Sensor Network using Unsupervised Learning
Design and Development of an Energy Efficient Algorithm for Data Aggregation in Wireless Sensor Network using Unsupervised Learning Open
A wireless sensor network generally defined as the collection of sensors that are utilized to track and record the data in real-time on an ongoing basis from different applications. In comparison with other sensor nodes, data transmission …
View article: THE ADVANCEMENT OF ARTIFICIAL INTELLIGENCE A WAY TO MAN AND MACHINE IN COMBAT IN TIME MACHINE AND I ROBOT
THE ADVANCEMENT OF ARTIFICIAL INTELLIGENCE A WAY TO MAN AND MACHINE IN COMBAT IN TIME MACHINE AND I ROBOT Open
Science fiction has proved notoriously difficult to define. It can be explained as a combination of science and technology and development in robotics in short it can be otherwise called as ‘realistic speculation about future events and a …
View article: Study of Traffic Flow at a Busy Intersection in Kanchipuram, India
Study of Traffic Flow at a Busy Intersection in Kanchipuram, India Open
Traffic flow analyses are used to achieve the safe, effective and efficient movement of peoples and goods on roadways within a scheduled time are directly linked with traffic characteristics.The parameters which are deciding the traffic fl…