Dr. Yabesh Abraham Durairaj Isravel

Scopus Publications

Development of a Hybrid System to Make the Decision and Optimization of Renewable Energy Sources
M. Jayakrishna, S. Sivakumar, Nalam Chandra Sekhar, Yabesh Abraham Durairaj Isravel
Sustainable Smart Homes and Buildings with Internet of Things, 2024
Real-time data is essential for managing renewable energy assets located offshore or in otherwise inaccessible locations since their number continues to increase throughout the globe. The efficient exploitation of such priceless assets and any entire or part blackout due to unforeseen difficulties may be avoided with the help of a reliable condition monitoring technology that analyzes energy sources that are renewable in real time and offers asset management recommendations. This study introduces a novel use of the Internet of things-based supervisory control and data acquisition (SCADA) system for keeping tabs on a hybrid system that includes solar, wind, and battery energy storage technologies. The ThingSpeak platform monitors electrical parameters, including voltage, current, and power. The proposed SCADA system allows network operators to operate hybrid power system components remotely. KEPServerEX client connects MATLAB/Simulink to the SCADA system for data exchange. For efficient use of valuable resources and any whole or partial blackout due to unforeseen difficulties, a practical condition monitoring system to assess energy sources that are renewable in real-time and offer asset managing recommendations is needed. The suggested system's viability has been shown via simulation and experimental findings. When compared to conventional methods, the newly designed technology excels in both dependability and efficiency.
Customer experience of fintech in Banking – A perceptive of millennials and Gen Z
Harini Sundararajan, Viji Rajesh, Chitra D. Rajesh, Yabesh Abraham Durairaj Isravel, Prabhakaran Jaganathan
Multidisciplinary Science Journal, 2024
Modern technological systems with a disruptive innovative component have recently changed firms’ operations, and those who adapt this will benefit from this change. This study investigates the Gen Z and Millennials customers experience and perception toward the usage of Fintech in banking. To accomplish the goals of the study, the author utilized a technique based on questionnaires. This study uses statistical hypotheses analysis and multiple regression analysis with random sampling as quantitative ways to analyze how banking technology is used. The impact of the study defines the level of usage of Fintech services by both the groups. Compared to Millennials, Gen Z prefer to use Fintech services, because they are well versed with the technology. To achieve more converge to more accurate statistical parameters of the population, the research will be expanded in the future by including more samples or responders and by using more dependable statistical methods, such as the partial least square approach.
Leveraging Ai And Data Analytics For Enhanced Decision-Making In Modern Management Practices
Sunita Pachar, Katam Naga Lakshman, Y. L. Malathi Latha, Lakshmi B, Yabesh Abraham Durairaj Isravel, Siva Koteswararao Katta
Intelligent Computing and Emerging Communication Technologies ICEC 2024, 2024
The capabilities that artificial intelligence (AI) offers to revolutionise strategic decision-making are a significant reason for the profound importance that AI has in the everchanging environment of the business world. Artificial intelligence provides leaders with sophisticated tools that enable them to master difficult situations and effectively foresee future obstacles. Businesses can stay ahead of the competition in settings that are always changing by using AI to make their decision-making processes more accurate, efficient, and forward-looking. This technology not only makes things run more easily, but it also helps businesses change with the times and do well in any market. Without artificial intelligence, we can't look at data. It can find patterns, trends, and ideas that people might not see. AI can quickly and correctly look at data and give people helpful information and suggestions that can help them make better decisions.
The Intensive Analysis of the Peddling Signal Routing for GPS System
V.A. Narayana, Himanshu Kumar, Kassem Al Attabi, Ashish Pathani, Kanchan Yadav, Yabesh Abraham Duraira Isravel
2024 4th International Conference on Advance Computing and Innovative Technologies in Engineering Icacite 2024, 2024
In the research community, vehicular ad hoc networks, or VANETs, are a unique paradigm in wireless networking. Vehicle-to-Vehicle (V2V) communication is a fundamental feature that is particularly important for improving driver and passenger safety and convenience. A major issue for routing, a crucial component of VANETs, is the dynamic nature of vehicular nodes and the frequently changing network architecture. Position-based routing protocols, on the other hand, have grown in popularity as an attractive alternative to VANETs because they can utilize location information to adapt to changing environments. Although a number of position-based routing protocols have been created to help with message routing in VANETs using greedy forwarding techniques, only a small portion of them show effectiveness in extremely dynamic networks. This study presents a summary and comparative analysis of current position-based routing protocols, emphasising those that use neighbour and destination node position prediction. We qualitatively analyse performance metrics such as packet delivery ratio and end-to-end latency using the NS-2 emulator
Insistence ML Based Exemplification in Case of VR: An Intensive Review
A. Veerababu, Deepak Kumar, Laith H. Alzubaidi, Archana Saxena, Saloni Bansal, Yabesh Abraham Durairaj Isravel
2024 4th International Conference on Advance Computing and Innovative Technologies in Engineering Icacite 2024, 2024
Although augmented reality (AR) is not a novel concept, there has been a surge in popular interest in it recently. It has the ability to improve audio, add comments and contextual facts, and overlay graphics to make our surroundings more interesting. Applications for AR are numerous and include gaming, education, healthcare, industrial maintenance, TV and film production, and entertainment. This work offers a refined technique for image-based augmented reality, concentrating on two significant aspects of the augmented reality process. First, in order to increase precision and effectiveness, we include machine learning into the detecting stage. Second, in order to enhance the registration of improved pictures, we use probabilistic presentation algorithms and covariance matrix of dense picture descriptors. Our goal is to get dependable and instantaneous picture enhancement by painstaking approach and algorithm optimisation. We offer a thorough justification of our technique selection procedure and contrast our strategy with other accepted practices in the industry. Lastly, we carry out an assessment of the suggested method together with a performance analysis customised for a particular use case.
Influence of blockchain in educational sector
Suresh Kumar Kollapudi, Yabesh Abraham Durairaj Isravel, Rakesh Natesan, Satheesh Kumar Subramaniyan
Aip Conference Proceedings, 2023
Massive marketing in social media: the influence on sentiments and attitude toward the brand
B. Lakshmi, Yabesh Abraham Durairaj Isravel, D. Chitra, V. Mahalakshmi
International Journal of Intellectual Property Management, 2023
Social media research has mostly concentrated on defining this trend through the interpretation of new concepts and terminology that compose its basics and exploring the impact of a company's introduction of social media on consumer behaviour because it has only recently emerged within the last millennium. A simple random sampling method was used to acquire the data from 556 people who have purchased fashion products. The research questionnaire was used to obtain the necessary information. Based on the data, it appears that most of the customers at retail fashion stores were middle-aged women in the private sector who were between the ages of 30 and 45. A marginally significant positive correlation between the purposes of this study was to examine how social media channels may inspire original products. Its goals were to gauge consumers' familiarity with the brand and to encourage them to make purchases. Consumers can benefit from businesses' inventiveness in both pre- and post-purchase contexts, as shown by the results.
Innovation comorbidity of compulsive buying and brand addiction among the younger generation
D. Chitra, V. Mahalakshmi, B. Lakshmi, Yabesh Abraham Durairaj Isravel
International Journal of Knowledge Based Development, 2023
The purpose of the study is to discover whether brand addiction influences compulsive buying behaviour among fast moving consumer goods (FMCG) consumers. Also, to investigate the importance of brand addiction and compulsive buying behaviour exhibited by FMCG consumers. The utilisation of descriptive research design is carried out. The information was gathered from 397 FMCG buyers utilising a random sampling technique. For the research, the information was gathered utilising the questionnaire. The researcher also employed Pearson Correlation and Regression analysis to examine the data. The data can be interpreted based on the majority of retail FMCH customers being female, aged 30-45, and working in the private sector. Favourite, prestigious brand and previous experience from the brand, making the respondents addicted to the brand. Respondents' obsessive buying behaviours include price, low maintenance costs, and product quality. It was further found that it can be interpreted to show an important impact of brand addiction on compulsive buying behaviour among FMCG consumers.
Omni-channel promotions and their effect on consumer purchase decision
Yabesh Abraham Durairaj Isravel, B. Lakshmi, V. Mahalakshmi, D. Chitra
International Journal of Intellectual Property Management, 2023
The study objective was to investigate whether the omni-channel promotion is effective from the viewpoint of company managers. For the study, the descriptive research design was adopted. The data was collected from 246 respondents from managerial, executive and director positions in the marketing department of 36 FMCG production companies in the Chennai district. A structured questionnaire was used as a data collection instrument for the study. Also, statistical tools such as Pearson correlation and regression analysis to further scrutinise the data were used. It was understood that there is no significant difference in opinion for the omni-channel promotion and consumer purchase decision from the viewpoint of the respondents for FMCG products. Also, it was identified that service after sales, alternatives available in markets and information search are the important characteristics exhibited by the consumer before purchase, as per the respondents' opinion. Furthermore, it was found that there is a weak positive relationship existing between omni-channel promotion and consumer purchase decisions.
Healthcare Operational Intellectual Ability in Analysing the Factors Affecting Employee Churn
V. Mahalakshmi, D. Chitra, Yabesh Abraham Durairaj Isravel, B. Lakshmi
Eai Springer Innovations in Communication and Computing, 2023
Distributed Deep Leaning Attack Detection Framework for Cyber-Attacks in IoT Network
Gurusubramani S, N. Arockia Rosy, D Chitra, Anwar Basha H, Yabesh Abraham Durairaj Isravel, Pundru Chandra Shaker Reddy
2023 3rd International Conference on Advancement in Electronics and Communication Engineering Aece 2023, 2023
Applications of Blockchain Technology for Secure Transaction of Electronic Health Records
Arjun Reddy Kunduru, Ramya Thatikonda, Srinivas A Vaddadi, B. Lakshmi, Yabesh Abraham Durairaj Isravel, Vivek Khirasaria
2nd International Conference on Automation Computing and Renewable Systems Icacrs 2023 Proceedings, 2023
Innovation comorbidity of compulsive buying and brand addiction among the younger generation
Yabesh Abraham Durairaj Isravel, Lakshmi Balakrishnan, V. Mahalakshmi, Chitra Devarajulu
International Journal of Knowledge Based Development, 2022
Employee engagement – Making internal customer happier
J Berkel, K Proper, C Boot, P Bongers, A Mindful, et al.
International Journal of Recent Technology and Engineering, 2019

Dr. Yabesh Abraham Durairaj Isravel

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