Regin Rajan

• Doctor of Philosophy
• Independent Researchers at Anna University, Chennai

Due to the rapid growth in wireless communications, vehicular ad-hoc networks (VANETs) face many challenges over wireless communication networks. Nowadays VANETs have become a major research and they have incredible resources to improve road traffic efficiency, safety, convenience and comfort to both drivers and passengers etc. Congestion occurs wh...

Abstract This paper titled "Consumerism, Mass Culture and Globalization" examines the advancement of pop workmanship around the 1960s in America and its uncritical acknowledgement of the commodification of craftsmanship. 1960 was an imperative decade for Europe and America. It was a period when "the guarantee of boundless bounty, political secur...

Vehicular Ad Hoc Network (VANET) has received better consideration from academic researcher and automobile companies in modern years. Meanwhile, Congestion control remains the major area of research in VANET due to its characteristics such as high mobility, high vehicle density, and unbounded network size, frequent exchange of information, rapidly...

Congestion control is deemed to be one in all the foremost vital problem in Wireless sensor Networks (WSNs) that is consist of resource constraint specification and also the range of deployed nodes. Congestion is caused by several factors such as node buffer overflow, channel contention, packet collision, transmission, transmission rate and many mo...

The Binary classification is the most challenging problem in machine learning. One of the most promising technique to solve this problem is by implementing genetic programming (GP). GP is one of Evolutionary Algorithm (EA) that used to solve problems that humans do not know how to solve it directly. The objectives of this research is to demonstrate...

This study examines the impact of regional revenue, intergovernmental revenue, regional expenditure, and the Audit Board's opinion on the financial performance of local governments in underdeveloped regions of Asia in 2017. These variables are part of the budget realization report and financial performance evaluation, with opinions reflecting an as...

Swiss Bakery is a digital paradise where the delightful aroma of freshly baked goods meets the convenience of online shopping. Our virtual bakery is a sanctuary for pastry lovers, offering a carefully curated selection of artisanal treats crafted with precision, passion, and love. From rich, decadent cakes to flaky, buttery croissants, each product...

Android ransomware attacks are becoming more common, threatening user data and privacy. Conventional antivirus systems struggle to identify these assaults, especially new or undiscovered types, stressing the need for more advanced IDS. Our study uses machine learning to create an Android IDS that can identify ransomware and other threats. The propo...

Vehicle counting and detection using OpenCV is a vital computer vision application, enhancing surveillance and traffic control systems. By leveraging OpenCV's capabilities, developers create systems to detect and track vehicles, including two-wheelers, using strategically placed cameras. Deep learning models like YOLO or pre-trained models such as...

This study addresses the increasing importance of understanding global surface temperature dynamics amid climate change. While existing research highlights significant temperature fluctuations, gaps remain in the comprehensive analysis of spatial and temporal patterns. This research aims to conduct an Exploratory Data Analysis (EDA) using reputable...

Data-driven intelligence in digital health refers to the integration of large-scale data from diverse sources to enhance health outcomes, particularly through remote patient monitoring. Utilizing advanced digital technologies such as wearable sensors, smartphones, and remote monitoring systems, real-time health data is collected from patients and t...

This study explores the impact of religiosity and emotional intelligence on the ethical behavior of auditors. The research aimed to empirically assess how these two variables contribute to ethical conduct in the auditing profession, particularly in government offices. Data were collected from 102 government auditors through a questionnaire and anal...

This study focuses on enhancing fire detection and localization in video surveillance systems through advanced deep convolutional neural networks (CNNs). The primary objective is to improve the precision and efficiency of fire detection in CCTV footage while maintaining low computational overhead. By utilizing the GoogleNet architecture, the propos...

This research aims to develop an advanced handwriting recognition system by integrating convolutional neural networks (CNNs) with transformer architectures, targeting the enhancement of recognition accuracy across diverse handwriting styles, languages, and distortions. The primary objective is to address the inherent challenges of handwriting varia...

The recent advancement trend of the technology had motivated the need for the study to explore the readiness of the employees in the workplace in accepting the new technology engagement. With this, the current study will focus on investigating the readiness of the employees towards the social interaction with the technology in the workplace in Mala...

This study focuses on a comprehensive Exploratory Data Analysis (EDA) of Netflix's dataset to uncover user preferences and content trends. The objective is to analyze viewer behaviors and provide personalized movie recommendations using machine learning algorithms. The methods involve data cleaning, visualization, and the development of a recommend...

Deaf and hard-of-hearing people use sign language detection to communicate. Sign language is crucial for deaf and hard of hearing people to communicate. Recent advances in computer vision and machine learning have enabled sign language gesture recognition and decipherment. Abstract: Deep learning and computer vision techniques for sign language ide...

Decision-making and game theory are crucial fields within artificial intelligence (AI), focusing on how agents can make rational choices in complex, interactive environments. AI techniques enable the modeling of decision-making processes and game theory, enhancing predictions of outcomes and optimal strategies. Game theory, a branch of mathematics,...

The role of counterfeit goods in the industrial industries has grown in recent years. Name recognition, sales, and bottom line results are all impacted. Authentic products can be located and counterfeit goods can be identified with the use of blockchain technology. Distributed ledger technology, also known as blockchain, is a digital system that re...

Credit cards allow you to make purchases, debt transfers, and cash advances but require you to repay the loan. Credit cards have been important over the last few decades because they allow us to collect incentives without changing our spending habits. It also simplifies spending tracking. Credit cards protect against fraud better than debit and are...

Blockchain technology represents a significant innovation with far-reaching implications across multiple industries, having initially emerged as the backbone of Bitcoin to enable secure, decentralized digital transactions. Its decentralized structure, which replaces centralized databases with multiple shared copies across nodes, enhances security a...

This paper presents "SwiftTrip," an innovative tool designed to enhance travel planning by integrating location, activity, weather, and packing considerations. As travel becomes increasingly spontaneous, there is a need for comprehensive solutions that cater to dynamic travel environments. "SwiftTrip" addresses this gap by offering detailed vacatio...

This study investigates the impact of institutional ownership, managerial ownership, and audit committees on firm value, with corporate social responsibility (CSR) disclosure serving as a moderating variable. Focusing on LQ-45 firms listed on the Indonesia Stock Exchange (IDX) from 2017 to 2022, the research utilizes a sample of 35 firms with 112 f...

Earth has been under the control of diabetes for a very long time. Serious health hazards are posed by chronic diseases. If insulin production is impaired, the body will not be able to break down glucose, leading to diabetes. Over time, the accumulation of carbohydrates becomes harmful because the body fights against processing the glucose that it...

A fully automated system for distributing Tamil Thirukkural verses combines cultural preservation with cutting-edge technology. The solution streamlines Thirukkural content delivery for various worldwide audiences using AI, quick engineering, and automation. Post-production, story development, email delivery, and audio synthesis are automated to en...

This paper explores the integration of eye-tracking technology with computer vision to enhance human-computer interaction. In a world where precision and efficiency are vital, it examines how eye-tracking can revolutionize mouse cursor control with unmatched accuracy. The research focuses on developing and implementing an innovative eye-tracking-ba...

Chronic kidney disease (CKD) is a progressive condition affecting over 12% of the global population and can lead to end-stage renal disease (ESRD) if not managed effectively. Early prediction of renal failure in CKD patients is crucial for timely intervention, which can slow or prevent disease progression and reduce the need for costly treatments l...

Music streaming services have made it easy to access a wide variety of music, but there is still room for improvement in customization and emotion-based suggestions. Users often rely on recommendation systems to find music that suits their current mood, but these systems may fall short if they don't account for changes in emotional states. This pro...

Environmental data analysis is an integral component of air quality control. It entails employing information-driven conclusions to meticulously track and determine pollution's origins and analyze the health effects. The main objective is to discover effective ways to boost air quality, promote public health, and support informed choices in environ...

This study explores AI-driven multimodal analysis of human behavior, a cutting-edge field harnessing artificial intelligence, machine learning, and data fusion. These approaches offer profound insights into human actions and intentions by integrating text, images, and audio data. The study provides a comprehensive overview, including a literature r...

Underwater wireless sensor networks (UWSNs) have emerged as a potent solution for oceanographic data collection, underwater exploration, and monitoring of underwater ecosystems. However, the unique and harsh underwater environment, such as limited bandwidth, high propagation delay, and significant energy constraints, creates myriad challenges in de...

Integrating AI and robots in the service industry transforms traditional approaches, enhancing efficiency, quality, and personalization. In customer service, AI-powered chatbots and virtual assistants provide immediate, round-the-clock support, streamlining interactions and improving the overall customer experience. With predictive analytics, custo...

Steganography, derived from the Greek term meaning "covered writing," is the art and science of concealing hidden messages within seemingly innocuous communications, ensuring that only the sender and the intended recipient are aware of the message's existence. This method provides security through obscurity, differentiating itself from other data-h...

This study explores the impact of personality dimensions on auditor performance within public accounting firms. Recognizing that the effectiveness and efficiency of auditors are crucial for maintaining the integrity and reliability of financial reporting, this research delves into how different personality traits influence job performance. Using a...

Get beautiful selfies automatically captured when you smile-Python Project to automatically detect and capture selfies. Everyone loves a smiling picture, so we will develop a project to capture images every time you smile. For this machine learning project, we will use the OpenCV library. OpenCV is an open-source library for computer vision, focusi...

Using return on assets as a mediator, the purpose of this study is to determine the nature of the connection that exists between environmentally friendly product innovation and the value of a company. Utilizing the purposive sampling strategy is the method that is utilised for the selection of samples. Three hundred and thirty-two firm-year observa...

The purpose of this research is to investigate the impact that a student's level of emotional intelligence, locus of control, and religious beliefs have on their ethical behaviour as an accounting student. For the purpose of this study, the sample consists of 175 students who expressed interest in completing the research questionnaire. The Statisti...

Mobile devices have become indispensable instruments for staying current, thanks to the revolutionary change brought about by the rapid rise of technology. With an emphasis on giving users real-time access to worldwide news in an engaging and aesthetically pleasing format, this Android news app is meant to bring the latest news from more than 120 n...

Biodegradable packaging is gaining traction as a sustainable alternative. This study examines consumer perceptions of biodegradable packaging and their influence on product choices and satisfaction. A survey was conducted to measure perceived quality, value, consumer preferences, industry practices, and customer satisfaction. Correlation analysis r...

This research chapter explores the transformative impact of machine learning (ML) in enhancing healthcare outcomes. With the rapid growth in healthcare data and the complexity of healthcare challenges, traditional analytical methods have become inadequate. Machine learning offers innovative solutions for diagnosing diseases, predicting patient outc...

The stock markets have been able to thrive due to favourable economic conditions, the push for liberalisation policies in some nations, and the trend toward globalisation of capital markets. The opportunity for international diversification and the large returns that may be on offer also entice Western equities fund managers. The question of how we...

There is a significant problem with selling things that have expired, particularly among customers who purchase the products from supermarkets or stores. In order to prevent this problem from occurring, it is possible to create a web application that will notify the proprietor of the products that are going to expire. This paper presents three prop...

Tamil transcript summarizing improves Tamil video information extraction for study, learning, and accessibility. However, complex grammar, dialects, colloquialisms, and lack of linguistic resources and tools require specific approaches to ensure accurate and successful summarization. A new methodology that smoothly blends natural language processin...

This research paper examines the creation and execution of VehiWalnut, a cutting-edge system developed to enhance fuel management processes. VehiWalnut incorporates cutting-edge technologies such as data visualization, cloud-based chatbot evaluation, and deep learning to improve efficiency and user satisfaction. A thorough literature review is cond...

This chapter stands at the forefront of an innovative intersection between artificial intelligence (AI) and human kinetics, focusing on the transformative realm of skeleton-based movement recognition. At its core, this chapter investigates the sophisticated technologies and methodologies that are pivotal in accurately identifying and analyzing huma...

In an era where AI systems are increasingly integrated into critical applications, ensuring their robustness and reliability is of paramount importance. This study embarks on a comprehensive exploration of innovative metrics aimed at benchmarking and ensuring the robustness of AI systems. Through extensive research and experimentation, the authors...

The identification and detection of hand motions is the focus of this project. Using a web camera, hand gesture photographs are captured. These images are then compared to database images, with the best match returned. In order to create user-friendly interfaces, gesture recognition is one of the most important strategies. For instance, a robot tha...

The existence of potholes on the roadways is one of the primary factors that contribute to the occurrence of crashes involving automobiles. In order to find a solution to this issue, a number of different strategies have been explored. Among these methods are the employment of vibration-based sensors, manual reporting to authorities, and laser imag...

Wildfire monitoring has grown in importance, and vision-based fire detection technologies play a key role in this. Due to the rapid destruction of economic values and public safety that forest fires can wreak, wildfire warning systems are garnering increased interest. To lessen the impact of wildfires, a dark convolutional neural network (CNN)-a re...

Up until now, auditing systems have only had a web module; these modules are complicated and not user-friendly. Protecting sensitive data stored in the cloud requires the time-consuming and laborious procedure of encrypting all of the files. To verify a user's identification in the current system, the client must input biometric data. Next, in orde...

Driver actions and judgments are the most critical aspects influencing passenger safety in a vehicle. Common things that drivers do include: driving safely, talking on the phone, texting, eating, reaching behind, altering hairstyle or makeup, operating the radio, and operating mobile phones. The first four are considered typical driving duties, whe...

The number of people using mobile banking has been steadily growing over the past few years. Most of the time, this is the case in countries that are still developing or underdeveloped. It is proposed to investigate the comparative significance and distinctive influence of communication channels on customers' theories and attitudes regarding the ad...

More and more people are writing reviews of items and services online as a result of the explosion of internet shopping. Text mining is a method for discovering useful patterns in massive datasets. In order to construct novel realities or ideas to be explored further by more conventional experimental methods, a crucial component is used to interfac...

Problems with breathing or acute lung pain caused by cement specks in the air are common, and the cement producing industry typically has a hard time keeping them under control. Emissions control strategies can focus on preventing dust from being released into the air or on removing dust that has already gotten airborne. Space optimization, duct ru...

Annotation: The development of mobile devices, particularly in these modern times, has brought about a significant transformation in the way business is conducted. The capability of a mobile phone device is frequently anticipated to be comparable to that of a computer. In this day and age, the majority of people who use mobile phones feel that perf...

In order to provide the most effective scheduling alternatives, data analysis of the information that the customer has provided is performed. The mobile application provides further recommendations, such as a list of all the appropriate sites or areas to visit inside the destination that has been picked, once the intended destination has been speci...

Using Twitter's primary goals as a guide, we built a real-time sentiment analysis system that labels tweets according to the emotions they convey. One more way Twitter facilitates social networking is through microblogging, which allows users to record brief status updates. The analysis of the emotions conveyed at intervals between tweets allows us...

In this study, we use a machine learning method to identify cases of diabetic retinopathy in humans. The suggested approach uses classification algorithms on various variables from an existing Diabetic Retinopathy dataset, such as optical disc diameter, lesion-specific information (microaneurysms, exudates, or presence of haemorrhages), and so on....

In the subject of computer vision, one of the most significant problems to investigate is human pose estimation. In today's world, there is a greater emphasis on automation, and we use surveillance and cameras to record everything that happens in our immediate environment or surroundings. The computer has a difficult time determining their stances...

Fixed Assets Management is the conventional financial statement for a business. While these statements do a good job of detailing the company's financial activities, they do not reveal how the company's financial status has changed over time, which is a big downside. The book and actual realisable values of fixed assets are determined when they are...

One of the primary focuses of this study is on the cash management practises of newspaper companies. In order to determine the liquidity and profit performance of NCG, the major purpose of this study is to conduct an analysis of the cash management methods that are now operational at the company. For the purpose of this investigation, both descript...

The problem of fake news and misinformation has become increasingly prevalent in today's society, leading to a growing need for effective fact-checking and fake news detection tools. These tools aim to identify false or misleading information in digital media and help users make informed decisions. Fact-checking involves verifying the accuracy of i...

Heterogeneous computing, leveraging Field Programmable Gate Arrays (FPGAs) and Graphics Processing Units (GPUs), is an emerging field in computer science and engineering aimed at accelerating machine learning algorithms. This project focuses on designing and developing FPGA and GPU-based systems to enhance the performance and efficiency of machine...

Computer vision and image analysis rely heavily on machine learning. From structure-from-motion and object recognition to scene understanding and image segmentation and registration, there is a wide spectrum of problems. Information may be extracted from visual data using machine learning algorithms. A rapidly expanding area of deep learning is med...

Breast cancer is a prevalent form of cancer, especially among women, and can spread to other parts of the body if not detected early. Early diagnosis is vital for improving survival rates and the effectiveness of treatment, but this process is complex and demands considerable time and expertise from pathologists. To address these challenges, comput...

The healthcare industry's growing reliance on electronic medical records (EMRs) brings challenges like fraud, tampering, and unauthorized access. Blockchain technology, with its security and immutability, offers a robust solution to these issues. This project introduces a blockchain-based medical certificate generator to securely store and verify m...

Because of its widespread use in facial analysis tasks, automatic gender and age prediction from facial photos has attracted a lot of attention. Because of the wide intra-class diversity in face images-including variations in lighting, position, size, and occlusion-current models frequently fail to achieve accuracy. These problems make it hard to u...

An aberrant proliferation of live brain cells is known as a brain tumour. The development of this tumour within theskull disrupts regular brain function. Early detection is key when it comes to brain tumours; else, they can be fatal. The intricate anatomy of the brain, which can differ from one individual to another, makes tumour detection a diffic...

The chapter presents an innovative approach to object detection that combines the advantages of the DETR (DEtection TRansformer) and RetinaNet models and features a phoenix precision algorithm. Object tracking is a basic computer vision task for identifying and locating objects in an image. The DETR model revolutionized object detection by introduc...

Handwritten character recognition is a challenging task in the field of image processing and pattern recognition. The success of character recognition systems depends heavily on the feature extraction methods used to represent the character images. In this chapter, the authors propose a novel feature extraction method called progressive stochastic...

Physical activity helps manage weight and stay healthy. It becomes more critical during a pandemic since outside activities are restricted. Using tiny wearable sensors and cutting-edge machine intelligence to track physical activity can help fight obesity. This study introduces machine learning and wearable sensor methods to track physical activity...

Complex material is difficult to absorb in e-learning environments, which distracts and lowers learning outcomes. This initiative proposes that consumers watch simple movies with the same topic to improve learning. Text analytics recommends tailored videos to consumers. The algorithm can make more tailored recommendations by evaluating text interac...

The chapter focuses on developing a deep learning-based image classification model for fashion and apparel. With the rise of online retail services, there is a growing need for accurate and efficient apps to categorize fashion garments based on their attributes from image data. The study proposes a fine-grained deep feature expansion framework usin...

For a long time, the idea that happy workers make good businesses has been around. However, due to a number of variables that affect organisational performance, companies in all industries and at all levels of the company should prioritise employee loyalty more than ever before. The difficulty lies not in recruiting workers, but in holding on to th...

In the ever-evolving landscape of modern marketing, the convergence of management information systems (MIS) and predictive analytics has become a potent force. This chapter explores the transformative potential of combining MIS infrastructure with predictive analytics techniques to reshape marketing management. Predictive analytics, utilizing histo...

Enterprise applications have never been more important in an era where organizations thrive on efficiency and consumer happiness. This chapter is an enthralling voyage into the world of cutting-edge technology in which the authors investigate the revolutionary power of enterprise applications and their significant impact on modern enterprises. They...

Identity and Access Management (IAM) system aimed at enhancing security, streamlining authentication processes, enforcing access controls, and monitoring user activities effectively. The system incorporates various security measures, including biometric identification, Challenge-Handshake Authentication Protocol (CHAP) authentication, Role-Based Ac...

Food waste is a pressing issue within the restaurant industry, contributing to environmental concerns and economic losses. This research study investigates food waste reduction strategies in Dindigul restaurants, aiming to provide valuable insights into sustainable practices. A diverse sample of 151 restaurant stakeholders, comprising customers, ow...

Written documents, inscriptions, and artefacts have been left behind by India's long and eventful past, providing a wealth of essential information about the country's cultural legacy. India's history spans many millennia, making it one of the world's oldest civilizations. However, given the fragile nature of these old materials and their widesprea...

Organizations in development need to go through all the steps that can result in reorganisation or change. If you look closely enough, higher-ups don't always seem to be handling these shifts very well. How change management affects worker output is the focus of this article. The study's central concern is that workers are resisting change and, as...

The purpose of a sewage treatment plant is to take wastewater, filter it for any contaminants, and then discharge it back into the environment in a way that is safe for humans and other living things. Because improper wastewater management contributes to environmental pollution and infectious diseases can easily spread due to the presence of a vari...

The purpose of this research is to identify the factors that influence company success. Since the majority of companies and corporate governance processes are run by families, this was the primary area of focus. Politically and economically, the globe is interested in the Middle East (MEA) because of its burgeoning marketplace. It is impossible to...

Instead of spending money on new paper, there is a practical solution: recycling. Most discarded papers end up in landfills or in the hands of street merchants. Many large machines exist now to recycle paper, but the price tag on a compact unit is likely to be too high for most people. Therefore, the issues can be completely eliminated by developin...

Annotation: This study develops a perfect blind stick that may be used by the sight handicapped to feel their way around and find things. This study suggests a high-tech blind stick, which, with the help of enhanced equipment, enables visually impaired people to move around with relative ease and take a break, if necessary. The stick features a GPS...

Artificial intelligence has established a presence in every aspect of human activity, further demonstrating its preeminence over humans with each passing day. Artificial Intelligence (AI) has demonstrated its prowess in a variety of industries, including but not limited to healthcare, robotics, eCommerce, finance, navigation, education (E), and man...

Object detection is a vital component for autonomous driving, and autonomous cars rely on perception of their surroundings to ensure safe and robust driving performance. It shows how the perception system makes use of object identification algorithms to precisely identify nearby items like pedestrians, cars, traffic signs, and barriers. It goes on...

The rapid evolution of the Internet and communication technologies has fueled the proliferation of wireless sensor network (WSN) technology, which is increasingly important in today's interconnected world. For a broad variety of industries and applications, an enormous number of sensing devices continuously create and/or gather copious amounts of s...

In response to the safety concerns surrounding the IoT, an attribute-based encryption and access control scheme (ABE-ACS) has been proposed. This scheme can be more effectively implemented through the use of cutting-edge technology and incorporating attribute-based encryption (ABE) and attribute-based access control (ABAC) models with features as t...

Annotation: We are well recognised that the vast majority of Indians work in agriculture. Most farmers always grow the same thing, always use the same amount of fertilizer, and always plant what the people want. Recently, there have been many breakthroughs in the use of machine learning in many fields of study and business. Thus, we intend to estab...

Categorizing the various components of a satellite image is necessary for producing thematic maps, which requires the image to be analysed and classified first. We have suggested making use of Kohonen maps, which are able to train themselves utilising techniques of unsupervised and competitive learning in order to make this process more effective t...

The Network of Effective Treatment (IoMT) model is used in various clinical trials and other healthcare operations. It is based on a novel set of ultraprecise tiny sensing devices and communication infrastructures, which give unmatched data collecting and ongoing vital sign capabilities. To fully realize the technology’s promise, however, some prog...

Today, a group of supermarkets requires a consistent ridge of their yearly sales. This primarily results from a need for knowledge, resources, and the capability to estimate sales. Conventional statistical methods for supermarket sales are important and often lead to predictive models. In the age of big data and powerful computers, machine learning...

Annotation: Users no longer trust traditional password-based authentication methods since so many online services now interact with one another. Credentials obtained online are often used to reclaim additional credentials, and sophisticated assaults often target the weakest of a large number of available credentials. One-time passwords and a two-fa...