All of the articles in this proceedings volume have been presented at the Global Conference on Sustainable Energy Systems, Smart Electronics and Intelligent Computing 2025, GC2SEIC-25 during 22nd and 23rd December 2025 in Bharath Institute of Higher Education And Research, Chennai, Tamilnadu. These articles...

This study examines sector rotation in the Indian equity market using Markov chain models applied to daily data for Nifty IT, Nifty Bank, Nifty Auto, Nifty Infra, and Nifty Energy over 2019–2023. We evaluate performance through average returns, volatility, and Sharpe ratios, and assess inter-sector relationships...

As Internet of Things (IoT) devices proliferate in retail and commercial sectors, maintaining strong security has emerged as a crucial concern. Spoofing attacks, including DNS spoofing and Address Resolution Protocol (ARP) spoofing, are among the many vulnerabilities that IoT systems must contend with....

ARP spoofing attacks are a serious risk to network security because they allow malevolent actors to intercept and alter network traffic, which frequently results in data breaches and information leaks. This paper introduces a deep learning-based method for identifying ARP spoofing that makes use of Long...

IoT has revolutionized various sectors by facilitating automation and improving efficiency through the interconnection of billions of devices. However, this rapid expansion has exposed IoT networks to an increasing number of security vulnerabilities, with spoofing attacks being one of the most prominent...

The Chronic Kidney Disease (CKD) is a global public health problem with asymptomatic progression and significant morbidity. Early detection is important as management can be effective and costs of healthcare be reduced. The objective of this project is to improve data collection methods for early prediction...

This study introduces a sophisticated control method for Shell and Tube Heat Exchangers (STHEs) by combining an Internal Model Control (IMC) with Adaptive Neuro-Fuzzy Inference System (ANFIS) models enhanced by the Dragonfly Algorithm. This innovative technique utilizes ANFIS for both the forward and...

The rapid proliferation of electric vehicles (EVs) has created an urgent need for intelligent and adaptive energy management systems, especially for optimizing regenerative braking and charging efficiency. Conventional control strategies, such as classical PID Controllers, often exhibit limitations in...

OCT is a potential diagnostic tool for the early diagnosis of oral diseases. The overall burden of oral diseases is high globally, and screening and early detection can prevent a high incidence of dental caries, periodontal diseases, and oral cancer. Advances in miniature hand-held optic devices and...

Oral cancer is a major health problem worldwide, mainly because it is often detected at a late stage. Early diagnosis can greatly improve survival and quality of life, but traditional screening methods depend heavily on trained professionals and are limited in remote and low-resource areas. In recent...

Cloud driven big data synergy has changed the dental healthcare system. With the integration of AI, it has ushered in dentistry 4.0 where artificial intelligence and machine learning will identify patterns to help in diagnosis and management of oral diseases. The increasing requirements for appointments...

Intelligent computing, involving artificial intelligence (AI), machine learning (ML), deep learning, augmented reality (AR), and virtual surgical planning (VSP) has been an increasingly disruptive force in the field of maxillofacial trauma and tumour-related reconstruction. These technologies improve...

Intelligent computing has rapidly advanced as a powerful tool for enhancing clinical decision-making in cleft lip and palate (CLP) management. With the emergence of machine learning, deep learning, and multimodal data integration, predictive modelling has become increasingly capable of identifying subtle...

Through machine learning (ML) and computer vision (CV) advances are taking shape in maxillofacial surgery that are revolutionising diagnosis, automation of laborious imaging tasks, and data-driven surgical planning and intraoperative support. New deep learning architectures have been used in three-dimensional...

The pH of saliva is a very important indicator of oral health because continued acidic environments favor caries in the mouth. Commercial sugars available in the market have different acidogenic capabilities associated with them, and they lead to a different acidogenic effect on salivary pH after consumption....

The technology of creating machines or robots at or close to the nanometer scale is called nanorobotics. It is the most modern application of nanotechnology. Using nanorobots in dentistry is predicted to improve precision, reproducibility, and dependability in the treatment process. These devices typically...

Artificial intelligence is rapidly changing the face of removable partial denture design by offering results to some of the most patient challenges facing RPD design individual variability, and inconsistent educational issues. Traditional RPD planning relies intensively on clinical judgment that constantly...

The given paper introduces Intelligent Monitoring System (IMS) dedicated to Photovoltaic (PV) plants with the usage of the low-cost hardware and lightweight software that would make its deployment face-free in a variety of PV installations. The system has a platform that is based on the Internet of Things...

The increasing demand for high-efficiency power conversion in grid-connected systems has driven the development of advanced converter architectures. This paper proposes a novel grid-integrated power enhancement framework based on an 11-level cascaded H-bridge converter integrated with a Solid-State Transformer...

The integration of renewable energy sources for Electric Vehicle (EV) charging presents significant challenges, including energy intermittency, voltage fluctuations, and the need for efficient power management. Current electric vehicle (EV) charging systems often face challenges in maximizing charging...

The research article gives a world-wide Electric Vehicles sales from 2010 to 2024 that clearly States how the car industry is transforming to the trending EV to support sustainable transportation. This research article shows very clearly about EV adoption that change over time focusing on the alternate...

This study highlights the emerging business models and the challenges faced by technological and operational systems in modern supply chains. It discusses the importance of using the renewable energy sources instead of conventional fossil fuels by taking the sample of 100 respondents from various departmental...

Public Health greatly depends on the sleep disorders such as in Insomnia sleep apnea which is in terms of cardiovascular health, cognitive level functions and quality of the future life. The proposed article offers analysis of sleeping disorders by combining the literature survey with a public data set...

The distributed architecture and message queuing features of Apache Kafka significantly improve the reliability and efficiency of batch and real-time data processing. This research aims to create a scalable and dependable data streaming setup by optimizing Kafka deployments, data splitting, and Kafka...

Grid connected solar PV systems mostly face problems related to power quality like harmonic distortion, voltage fluctuation and slow response under varying sunlight. To overcome this issue the paper introduces a system which provides optimal solution to the problems by using combination of advanced Power...

Chronic Kidney Disease (CKD) is a major global health problem which requires early and accurate detection to better clinical outcomes and lower charge on the healthcare system. In this research, we introduce a real time kidney disease detection system that uses a logistic regression model that is trained...

Smart grids and intelligent networks play a vital role in making the system more efficient with minimum loss of energy during transmission. It also allows various kinds of renewable energy sources to the system by support energy system and allows large number of electric or hybrid vehicles to charge...

Fuel cell vehicles have emerged as a promising alternative to traditional internal combustion engine vehicles, mainly as advancements in technology make them more practical for commercial use. This study focus focuses on developing and analysing energy management strategies for fuel cell-based hybrid...

Artificial Intelligence (AI) is increasingly transforming Human Resource Management practices in multinational corporations, creating new opportunities to support the United Nations’ Sustainable Development Goals (SDGs). Although organizations are investing heavily in AI-based HR systems, there is limited...

The rapid advancement of Internet of Things (IoT) technologies has significantly reshaped modern workplaces by enabling real-time monitoring, automation, and data-driven decision-making. Smart workplaces equipped with interconnected IoT devices such as environmental sensors, safety monitoring systems,...

Digital media and social networks have increased explosively and with the increase in use of the medium the amount of information circulating on the internet is huge. It is also important to note that with the increase in the information flow, there has been a flow of information that is either false...

Since cardiovascular diseases (CVDs) are the world's leading cause of mortality, early and precise diagnosis is crucial. Conventional diagnostic techniques take a lot of time and are prone to human error. Machine learning (ML) is a promising way to increase diagnostic accuracy as electronic health...

Cloud computing environments need robust and adaptive security mechanisms against the ever-evolving cyber threats. Accordingly, this work proposes an innovative framework of Context-Aware Encryption Key Generation for Real-Time Mitigation in Zero-Trust Cloud Security. This incorporates an efficient Quantum...

The Smart Grid plays an important role in global energy demands by participating in multiple power sources across modern transmission networks. Energy forecasting is important in analysing and predicting electrical load demand, and it regularly applies arithmetical models and past data to the grid. Previous...

Most educational technology systems focus on cognitive factors while ignoring affective Learning. This research presents an emotionally-aware intelligent tutoring framework integrating with multimodal affective computing and with reinforcement learning for a personalized learning experience. Our system...

ARP spoofing attacks are a serious risk to network security because they allow malevolent actors to intercept and alter network traffic, which frequently results in data breaches and information leaks. This paper introduces a deep learning-based method for identifying ARP spoofing that makes use of Long...

Currently, the custom of renewable energy to moderate the effects of global warming and its impact on the environment has become increasing day to day. Several nation-states currently have a majority of photovoltaics in use, which suggests that these renewable energy sources can be calculated with significant...

The proposed article is design for us smart method of diagnosis to read the brain MRI scanned images and highlight the required details of the brain. The proposed article uses a system called shuffle net that help to spot the tumors and other problems with high speed and accuracy. Proposed design keeps...

The prevalent studies highlighting the deployment of Total Quality Management (TQM) in the MSME sector of the Southern states of India are critically examined in this paper. Though many MSMEs lag in maintaining the quality to achieve a competitive edge over others, their involvement in nourishing the...

Osteoporosis is a degenerative skeletal condition associated with decreased bone mineral density (BMD) that increases the risk of osteoporotic fractures in older individuals. Nevertheless, traditional BMD measurement with DXA does not consistently provide operator-independent repeatability and is only...

The rapid increasing social media has resulted in the creation of huge amounts of multilingual user-generated content, which complicates the task of sentiment analysis with the occurrence of such issues as language diversity, informal style of writing, use of slangs, transliteration, and often, code-mixing....

Tracking food nutrition and calories on daily diet has been an important factor in healthcare. Tracking macros and micro nutrients in food manually can be inaccurate and time consuming. Food Scan AI makes it easier for daily usage by using tools that uses AI, computer vision and cloud computing to give...

The issues of infrastructure and other public services like roads, electricity, water supply, and waste management are some of the common causes of complaints by citizens that are experienced by municipalities all over the world. Paperbased systems of complaint handling can cause delays, record duplicate,...

Electronic Health Record (EHR) systems including cloud-based versions are scalable and allow access remotely, however, there is a high risk posed by the lack of data confidentiality, unauthorized access, and regulatory non-compliance. Available solutions like the Attribute-Based Encryption (ABE), Proxy...

The spread of incorrect information across digital media is a significant barrier to user confidence in the information and trustworthiness of digital content. In order to assist content users in spotting false information in online content, this article proposes a comprehensive dual framework that relies...

The Student AI Chatbot is at the forefront of issues which today’s students face in the digital age we see an exponential growth of digital educational resources which in turn overloads the students’ access points, which in turn produces fragmented information and inefficient study practices. Also we...

In an age of artificial intelligence and automation, intelligent surveillance systems have become essential in asset management and safety. The system proposed here, a smart surveillance system, utilizes AI-enabled computer vision algorithms that can monitor objects and recognize the absence of an object...

Under-recognized artisans are continually confronted with the problem of certifying hand-made products and the shady aspect of their carbon footprint in both online and real-world markets. The following paper suggests a combined Web3 and AI-based ecosystem, which will empower the artisans by providing...

Counterfeits products, delivery issues, and unclear supply-chain operations still remain a challenge to the. security of the contemporary e-commerce systems. These issues distrust a customer and cause a lot of financial and brand reputational risks. New developments in artificial. blockchain and intelligence...

As the attrition rate increases, it is difficult for Human Resource professionals to predict the influencing factors. Taking necessary actions at the right time to retain employee will reduces employee recruitment costs become difficult for Human Resource Personnel Therefore there is a need for efficient...

The high growth of internet has changed the way many social and economic activities are carried out and organizations are now able to provide their services worldwide using e-commerce and digital mediums. Nonetheless, this development has also predisposed users to cyber threats especially phishing which...

Internet has also become very common and this has changed the daily lives of people because now people can easily shop online, communicate through the internet and access other government functions. This growth has also been accompanied by the fact that there is so much sensitive data being exchanged...

The malware keeps on developing with increasing complexities, and these conventional methods have some challenges. To overcome the challenges of these issues, this research presents a new idea and proposes Hybrid Graph-MaIX, a novel combination of Graph Neural Network and Transformers model designed...

The Industrial Internet of Thing (IIoT) mainly focuses on integrating and utilizing data completely within the production environment. To enhance IIoT the data from various devices and protocols are converted which help in providing a proper communication between the devices. There are still a lot of...

Responsible Agentic AI in enterprise CRM signifies a shift in technology towards independent and ethical CRM interaction, with Reinforcement Learning (RL), agents can consider and consider to determine what action is best in the environment of interaction. Through using Deep Q-Network (DQN) classification,...

Enterprise-scale codebases and regulatory documents require deep reasoning capabilities to handle the associated issue of complexity, semantic diversity, and compliance requirements. We propose graph-agumanted AI system for deep reasoning, focused on enabling graph-augmented deep reasoning through a...

The high rate of data centers growth caused by cloud computing, artificial intelligence and digital services has caused a significant growth in electricity demand, putting strain on local power grids. The grid improvements and capacity additions needed to support utility companies in their operations...

This has greatly increased considerable rise in demand for integrated operative, security and safety system frameworks that are resilient against emerging immune to new forms of attacks by cyber threats with service reliability. This work proposes the paper suggest new model paradigm of bridging unification...

The electric mobility sector has progressed quickly and, consequently, the need for charging facilities has increased tremendously. Therefore, the question of where to place charging stations has become a major research topic. Nevertheless, the majority of the studies carried out up to now have not incorporated...

In modern banking environments, secure and efficient customer authentication is critical to preventing financial fraud and enhancing user experience. Our research outlines a CNN-based model for rainfall prediction and a face recognition system to secure cheque clearance and customer authentication, leveraging...

The global market value of gold price decides the economic and the monetary systems of a country. In the volatile gold market, a forecasting prediction model is needed to lower the risk of financial deprivation in the event of a sudden market crisis. The proposed work is to build prediction models for...

Poor posture and stress-induced improper breathing are the usual causes of respiratory inefficiency among students and office workers with sedentary lifestyles. Conventional monitoring approaches tend to be bulky, single-parameter, and unsuitable for continuous self-assessment, resulting in undetected...

Globally, lung illness is the leading cause of death. Lung cancer is the leading cause of mortality for both people and has the most startling death rate of all tumour kinds. An estimated 1.1 million individuals die from this disease each year, while an estimated 1.2 million people receive a routine...

Despite the question of traditional medicine, botany or pharmaceutical research, the identification of medici- nal plants is one of the primary ones because of morphological similarity, localism as well as the requirement of a complex system of botanical knowledge. In this paper, the median explainable...

A new type of cement mix called Ultra High Strength Concrete (UHSC) was employed for making weak RC beams stronger. Other retrofitting methods like GFRP and CFRP were also tried, and each one has its own good and bad sides. To keep the study fair, same ingredients and same process were followed for all...

The Smart infant-care system that continuously monitors critical health and safety indicators and is equipped to provide alerts and improved care. The intention ofthe system is to monitor an infant’s heart rate, body temperature, blood oxygen saturation, IV fluid status, and presence using a network...

The term Wireless Underground Sensor Networks (WUSNs) describes a collection of nodes operating beneath the surface of the earth that are expected to provide current observation capabilities in hostile subversive and submerged environments. Accurate monitoring in non-conventional media, such as subterranean...

Farmers have become more and more interested in data-driven methods over the past few years because they help them to see the future problems. In smart farming, they are often used to predict what kinds of plants will grow. The study’s goal was to create a useful hybrid deep learning model that could...

The process of Continuous Integration and Continuous Deployment (CI/CD) has become even more complex and risky, and the failure analysis steps have become dependent on the use of correlation-based approaches, which tend to correlate symptoms instead of looking into the root cause of the problem. In this...

In the cloud computing model has become main support and helpful for modern digital services, that makes more scalability and data-intensive application across different domains. But due to its fast and speed growth the risk-complexity also increases the amount of traditional methods often failure to...