Natarajan Gnanasankaran

• Doctor of Philosophy
• Professor (Assistant) at Thiagarajar College of Engineering

Predicting accurately how chemotherapy will work on breast cancer patients is important for making the best treatment plans, cutting down on side effects that aren't needed, and raising the total survival rate. Notwithstanding considerable progress in clinical research, forecasting a patient's response to chemotherapy continues to be a formidable c...

In the Era of Artificial intelligence research and industrial application have a great impact and success with the implementation of deep learning and neural network mechanism through machine learning process. Among them Explainable artificial intelligence provides an interpretable AI for humans to retain intellectual oversights. XAI is a constant...

Quantum computing has aided in the advancement of Artificial Intelligence and Machine Learning technology. In recent years, Quantum Computing has grown in popularity, and Artificial Intelligence has emerged as one of its key application areas. The use of quantum computing, a novel technology that processes data using quantum physics theories, may d...

During the beginning of the Industrial Revolution, succeeding manufacturing improvements have resulted in increasingly complicated, automated, and sustainable production techniques, enabling machines to be handled with ease of use, performance, and durability in modern expanding areas. People presently demand the human touch of mass personalization...

The convergence of edge AI and the Internet of Medical Things (IoMT) has ushered in a transformative era for connected healthcare, particularly in the context of smart cities. This chapter explores the integration of edge AI technologies within the IoMT framework to enhance the efficiency, accessibility, and intelligence of healthcare services in u...

The integration of artificial intelligence (AI) algorithms and models in the realm of embodied agents, such as drones and robots, has emerged as a transformative field with profound implications for various industries. This chapter provides a comprehensive overview of the state-of-the-art AI techniques employed to augment the autonomy, adaptability...

The Personalized predictive analysis of Cardiac illness threat may crucial in support of effective preventive interventions and improved patient outcomes. In this study, we propose a novel approach utilizing the Nearest Neighbourhood hood Schema in support of personalized Cardiac illness threat predictive analysis. Leveraging a comprehensive datase...

Quantum computing is going to completely transform the medical field, replacing traditional computing. Pattern identification and predictive analysis are two types of jobs that quantum computing may expedite significantly. In contrast, classical computing, which is fueled by artificial intelligence techniques including machines learning and deep le...

The fusion of bioinformatics and machine learning (ML) has brought forth a new era of innovative healthcare. The various applications of machine learning in bioinformatics and healthcare are examined in this chapter, with an emphasis on how revolutionary these applications could be for disease identification, drug development, and customized therap...

The introduction of 6G communication signals a watershed moment in the growth of wireless technology, ushering us into an age in which connection defies present boundaries. This chapter explores the multidimensional terrain of 6G, deconstructing its essential components and emphasizing its revolutionary potential. In terms of data speed, 6G promise...

Computers, through language, understand, interpret, and interact with humans, enabling Natural Language Processing (NLP), a sector of Artificial Intelligence (AI). Selecting a movie to watch may be very difficult because so many options are accessible on different streaming services; people have different likes and preferences, and others are unawa...

Current Issue Details: Vol. 3 No. 1 (2024): December 2024 (Regular Issue) URL: https://ijegiset.igrf.co.in/index.php/ijegiset/issue/view/dec_ri_2024

Smart manufacturing which is also known as Industry 4.0, is an emerging breakthrough in technology for effective and enhanced manufacturing process that utilizes Internet of Things (IoT) and Artificial Intelligence (AI). Deep Learning has become a versatile tool in smart manufacturing, allowing companies to reach the level of accuracy, productivity...

The concept of an "artificial intelligence brain" and "memory segmentation mechanism" can be approached from various angles, and it's important to clarify what you mean by these terms. However, I can provide a general overview of how these concepts might relate to artificial intelligence. The AI as a Brain Analogy of artificial intelligence, the te...

A growing demand for efficient attendance evaluation systems is driving innovation. This research uses an interactive app to evaluate attendance in real-time attendance for college or office. Monitoring and managing attendance is made easier with automated face identification and analysis. In the interactive app, users can continuously capture, pro...

As oceans around the globe confront enormous challenges related to the environment, the importance of artificial intelligence (AI) in understanding and maintaining ocean health is becoming more vital. This chapter explores the notion of “Explainable Artificial Intelligence for Ocean Health” and its importance in tackling complicated ocean-related c...

Smart manufacturing environments are revolutionizing the industrial sector by integrating advanced technologies, such as the Internet of Things (IoT), artificial intelligence (AI), and robotics, to achieve higher levels of efficiency, productivity, and safety. However, the increasing complexity and interconnectedness of these systems also introduce...

Artificial intelligence has now enabled important advancements in Industry 4.0. (AI). Industries are generally focusing on increasing modeling, productivity, and lowering costs of operations in the hopes that they can achieve this via joint efforts between people and robotics. Smart industries' interconnected manufacturing processes rely on numerou...

The fourth phase of the Industrial Revolution - Industry 4.0 - has ameliorated how companies “think and act” today. The focus has now shifted towards fostering faster and smarter processes, leading to sustainable productivity. The three driving forces for Industry 4.0, according to Henrik von Scheel (Father of Industry 4.0), are value, people and c...

As online education grows in popularity, issues concerning learners' privacy and security have become increasingly important. This chapter delves into the creative use of generative adversarial networks (GANs) to handle the complex difficulties of protecting sensitive information in the online education scene. The chapter opens with a detailed asse...

A good farming system reflects with best economic progress and social convergence across the globe. The smart organic farming system nowadays has a view of how to maintain good result based on yielding process for the society. Here in this article, this research focus on how to implement better smart organic farming system in traditional South Indi...

India is an agricultural economy. Most of our population relies on agriculture for their daily earning and livelihood. The growth of this sector depends a lot on the quality and quantity of production, the consumption cycle, and the mechanisms adopted for distribution and storage. As the population increases, there is an increase in the demand for...

ndia is an agricultural economy. Most of our population relies on agriculture for their daily earning and livelihood. The growth of this sector depends a lot on the quality and quantity of production, the consumption cycle, and the mechanisms adopted for distribution and storage. As the population increases, there is an increase in the demand for f...

The present disclosure relates to a commercial off-the shelf (cots) based quality analysis system, and a system for evaluating the impact of COTS (Commercial Off-The Shelf) on software development

Organizations are quickly realizing the transformative possibilities of digital twins and artificial intelligence (AI) in this era of fast technical advancement. This chapter provides a brief synopsis of "The Roadmap to AI and Digital Twin Adoption," a comprehensive resource that delves into the key elements and techniques necessary for the success...

Organizations are quickly realizing the transformative possibilities of digital twins and artificial intelligence (AI) in this era of fast technical advancement. This chapter provides a brief synopsis of “The Roadmap to AI and Digital Twin Adoption,” a comprehensive resource that delves into the key elements and techniques necessary for the success...

Silambam is a traditional martial art from Tamil Nadu, India. It is a stick-fighting art that has been practiced for centuries. In recent years, there has been growing interest in using technology to enhance the practice and promotion of Silambam. One way to do this is to use the Internet of Things (IoT). IoT devices can be used to collect data on...

The device uses machine learning algorithms to analyze biomarkers in breathing samples providing rapid and accurate diagnostic results for early detection of lung cancer

A DETAILED EXPLOARATION ABOUT DEEP LEARNING, NEURAL NETWORKS AND ITS APPLICATIONS

The drone is equipped with advanced sensors and imaging technologies and provides farmers with real-time data on crop health, enabling precise decisionmaking. It captures multispectral images for early detection of crop diseases.

We have created a smart silambam stick through which we can monitor our calories burned while using the silmabam stick, and also try to rejuvenate the silambam martial arts as well as maintain the culture and body health effectively by practicing silambam.

The novel advent of virtual and augmented reality (VR/AR) has revealed glorious doors for several industries to satisfy the needs of their customer experience. Like many outstanding industries, the travel and tourism industry has also improved its trends and technology with the benefit of VR and AR. AR is exhibiting an incredible part in transfigur...

This Design patent describes effective information system that can monitor and secure a vehicle / car condition in traveling. The aim of using IoT for tracking and monitoring is thanks to the good advantages that provide when working with its components. In this paper, we propose a vehicle tracking system by using Raspberry Pi connected to various...

Sugarcane is a cash crop cultivated in India's Tropical and Sub Tropical regions, contributing 5.7% of the Gross Domestic Product (GDP) to the Indian Economy. Sugarcane Farming gives employment opportunities to 60 million rural families. It is cultivated all over India to a latitude of 80• N to 300• N. Sugarcane contains sucrose in its stem juice a...

This chapter explains how AR and IoT are combined together to increase the productivity and how it can minimize the training time of an employee. the convergence of AR/VR and IoT can get meaningful insights of the industry operations.

The Internet of Things (IoT) has revolutionized the way in which we communicate with each other and the environment around us. IoT technology has enabled us to securely and quickly communicate with each other in real time, regardless of where we are. As a result, the potential for communication between electric vehicles and rescue teams has become...

In the vast field of computer science, machine learning is one of the most rapidly flourishing technologies, and is used extensively. The phrase “machine learning” describes the essential computerization of data arrangement. According to Samuel (1959), “It is the subdivision of Artificial Intelligence that administer computers with the capacity to...

In recent times, Internet of Things (IoT) has become a hot research topic and it aims at interlinking several sensor-enabled devices mainly for data gathering and tracking applications. Wireless Sensor Network (WSN) is an important component in IoT paradigm since its inception and has become the most preferred platform to deploy several smart city...

In recent times, Internet of Things (IoT) has become a hot research topic and it aims at interlinking several sensor-enabled devices mainly for data gathering and tracking applications. Wireless Sensor Network (WSN) is an important component in IoT paradigm since its inception and has become the most preferred platform to deploy several smart city...

Commercial-Off-The-Shelf(COTS) technology is widely used in many software companies and also in scientific computing. The definition of COTS is furnished. Its virtues and skills needed in using COTS SW are detailed. The methodology used for the selection and evaluation of COTS is given. Some information about the testing of COTS components is also...

Commercial Off-The-Shelf (COTS) components are widely used in many software industries and also in scientific computing. This paper first considers the definition of the term COTS and then tries to find how it typically been used in IT industry. A survey has been undertaken to study about the usage of COTS in IT industry. This paper deals with the...

Commercial Off-The-Shelf (COTS) components are widely used in many software industries and also in scientific computing. This paper first considers the definition of the term COTS and then tries to find how it typically manifests itself in the software used for mathematical computations. Some details regarding one of the popular software used for s...

IoT Sensor Networks with 5G Enabled Faster RCNN Based Generative Adversarial Network Model for Face Sketch Synthesis

In past decade, inexpensive, versatile, and automated abilities of the UAVs find helps in diverse application areas. The integration of UAV and machine learning (ML) assisted in real time observances, data acquisition, analytics, and prediction in practical scenarios. The utilization of ML models has lessened the issues related to UAVs along with t...

In past decade, inexpensive, versatile, and automated abilities of the UAVs find helps in diverse application areas. The integration of UAV and machine learning (ML) assisted in real time observances, data acquisition, analytics, and prediction in practical scenarios. The utilization of ML models has lessened the issues related to UAVs along wit...

Rice is considered as a major crop productivity in India. It is an essential staple food for the significant proportion of the population in the country. Rice productivity may be predicted, by the use of climate (seasonal) forecast to a crop yield model, at the start of the season or even long earlier the season begins. Several researchers have dev...

The use of biometric for identification purposes requires that a particular biometric factor be unique for each individual that it can be calculated, and that it is invariant over time. Biometrics such as signatures, photographs, fingerprints, voiceprints and retinal blood vessel patterns all have noteworthy drawbacks. Although signatures and ph...

This paper focuses on the Midday Meal Scheme may be a school meal programme of the govt. of India and is meant to enhance the nutritional standing of school-age children nationwide. Student teams are expected to create machine vision solution to watch the activities under the Midday Meal Scheme. Solution Expected: because the MidDay Meal program ru...

IoT, Machine Learning, Big data

Commercial Off-The-Shelf (COTS) technology is widely used in many industries and also in scientific computing. In this paper, an introduction to the usage of COTS components and its definition are given. The virtues of COTS and the skills needed for using them are furnished. The importance of integration and composition of COTS are touched upon. Fi...

Commercial Off-The-Shelf (COTS) technology is of recent origin and often used in developing SW for usage in different disciplines of science and technology. Almost without exception, every software-relatedendeavor will utilize a significant percentage of COTSsoftware components. In this contribution, as a case-study, a SW package (AMBER) used for c...