All of the articles in this proceedings volume have been presented at the International Conference on Recent Advancement and Modernization in Sustainable Intelligent Technologies & Applications(RAMSITA-2026) during February, 6,7, 2026 in Indore, MP, India. These articles have been peer reviewed by...

Atransparent, readily accessible bodily fluid, salivais essential for maintaining oral health. Numerous biological substances that are useful for illness detection are also present. Saliva has drawn interest recently as a non-invasive, reasonably priced method of diagnosing a range of illnesses. The...

The social sphere of the financial world is becoming increasingly exposed to cyber threats, and therefore defense systems must be developed to work independently and be intelligent and capable of expanding automatically. This research paper considers how the artificial intelligence-powered runs of Microsoft...

“Kcraft (craft) Mathematics” is a developed aspect of the personal skills in, geometry, numeracy, trigonometry, and algebra within the creative domain of 3D geometric art. Kcraft Mathematics is the introduction of its own algebraic notation system for mathematical projection, formalizing geometric transformations...

Accurate identification and real-time monitoring of cattle are essential for improving livestock productivity, traceability, and animal welfare. Traditional identification methods such as ear tagging and RFID are intrusive and susceptible to loss or damage. Recent advances in deep learning and computer...

Lung cancer remains to be among the leading contributor of deaths caused by cancer in the world, and accurate early diagnosis is a key to the better survival of the patient. The recent trends have observed the deep learning models as a promising tool in medical image analysis that can be used to accurately...

The detection of underwater objects is very important in such areas as the marine search, underwater surveillance and environmental monitoring. But it is a difficult task because underwater domain is complex. Where traditional object detection methods can fall short in these cases, due to problems such...

In the field of healthcare, anomaly detection is essential in identifying the abnormal tendencies of patient records, function and/or medical procedures of a device. Electronic health records (EHRs), wearable sensors, and Internet of Medical Things (IoMT) devices are big and have created certain challenges...

Plant diseases continue to pose a significant challenge to food security in the world and this has resulted into extensive loss in crop yield and financial instability among agricultural communities. The conventional approaches to the disease diagnosis are based on manual examination by specialists and...

There is an ever-increasing trend of pursuing newer ways through which physical and mental well-being may be maintained through dance and fitness. Along with the growth of online training and home workouts, there is also an ever-pressing need for systems that are intelligent enough to capture and track...

In this digital era transformation of digitalization creating unprecedented access to news and content globally. Advancement of technological some time facilitated and propagate of misinformation across online platforms as well as social media platforms. This kind of misleading content can disturb the...

Music Emotion Recognition plays an essential part in detecting particular emotion classes in songs by analysing their emotional content. In this study, we design and implement a MER system based on machine learning using acoustic feature analysis on the Hindi Music dataset MER500. Two experiments are...

Deep neural networks are highly vulnerable to adversarial perturbations, which can significantly reduce their classification performance. To address this vulnerability, this work applies Fast Gradient Sign Method (FGSM) based adversarial training to improve the robustness of convolutional neural networks....

The paper proposes an AI-based scheme of early COVID-19 diagnosis and detection based on multimodal medical imaging, featuring chest X-rays (CXR) and computed tomography (CT). The proposed deep learning architecture (Convolutional neural networks + feature encoders that are transformers) is the one that...

This research leads to the development of a moder chess application of classical chess that utilizes the marvels of modern technologies like speech recognition to make an already popular game more interesting and widely accessible to people that are unable to participate in the game using current inputs....

The implementation of the technologies of Artificial Intelligence and Machine Learning is inevitable in the contemporary changing environment of businesses as they promote innovation and influence strategic decision-making. This study encompasses the artificial intelligence and machine learning, their...

Nearly all of us have smartphones at all times, but few of us consider these devices’ capability to monitor us passively for healthrelated reasons. In this review, I will examine in greater detail a technique known as Video Photoplethysmography (VPG) that enables a smartphone camera to estimate heart...

This systematic study investigates the constraints impeding the implementation of Computer-Aided Diagnosis (CAD) systems in medical diagnostics, with a specific emphasis on Ovarian Cancer (OC). Our comprehensive analysis of existing literature revealed that a major limitation is the inadequate scale...

This paper will explore how government credit programs affect the development of small-scale industries (SSIs) and build a predictive machine-learning model that helps in predicting the performance of firms. The study utilizes empirical strategy that incorporates causal inference and predictive analytics...

Investment practices are increasingly focused on transparency, accountability, and trust, mainly due to an increased global push towards sustainable finance. Conventional environmental, social and governance (ESG) reporting systems experience problems like data manipulation/manipulative disclosures and...

Recommender system has added an incredible convenience by delivering suggestions that are of our interest while we dive into the ocean of information. Among different recommender techniques, Multi-criteria collaborative filtering (MCCF)system is the one who determines user preferences by carefully considering...

This study presents a feature selection methodology designed to improve the efficacy of Deep Neural Network (DNN)-based intrusion detection systems (IDS). The suggested method uses a statistical fusion strategy that combines variance thresholding and pairwise correlation analysis to find a small but...

This study proposes launching an Assured Contract Farming System to help farmers to explore the market virtually and making more money and gaining easy access to markets. Consumers and farmers will take advantage of this technology in the creation of a well-structured and binding contract that are traceable,...

Browser extensions are small add-ons for the browsers that make everyday browsing faster and easier. System permissions make these extensions powerful and easy target for attackers. Many extensions seem perfectly safe when first installed but quietly turn malicious through updates down the line. Most...

Zero Trust Network Access (ZTNA) has become one of the core cybersecurity strategies through the implementation of a continuous verification process and the least- privilege access management in disperse systems. Current ZTNA threat detection methodologies rely primarily on centralized machine learning...

Phishing has always been a prevalent cybersecurity threat, using human trust and vulnerabilities on the internet to acquire sensitive information. Standard machine learning and deep learning models have improved the accuracy of phishing URL detection. However, they continue to strive to adjust to the...

The Land lease and mortgage management system (LLMMS) is the crucial part of land administration, since it is essential for investment, resource allocation and economic growth of any developed or developing country. However, LLMMS has problems like fraud vulnerability, inefficiency, and a lack of transparency....

Sudden crowd crushes at festivals, rallies, or sports events turn safe gatherings deadly in seconds when panic ripples through packed spaces. Guards watching fixed cameras can’t keep up with the chaos, missing early shoves or squeezes until it’s too late. Our setup layers fast people-spotters YOLOv8 + Deformable...

The transformation of the data center is progressively controlled by the predictive maintenance methods of Artificial Intelligence (AI) that ensure sustainability, efficiency, and reliability. Old-fashioned reactive and schedule-based maintenance plans cannot be applied in the complex infrastructures...

The climate crisis has put the world in a highly critical situation and this is the main factor that drives the global switch from fossil fuels to renewable energy sources. It is both a necessity for being able to meet the targets set by the Paris Agreement and for complying with the UN’s Sustainable...

India’s rapid urbanization is on a large scale and its Smart Cities project of a high-tech city concept has been launched at the same time as its VLSI and semiconductor development. The paper discusses the role of VLSI technology in Smart City systems by looking at urbanization trends expected in India,...

Epidemic of fluoride pollution in ground water, poses a serious health as well as the hydrogeochemical problem in Madhya Pradesh.This study integrates government monitoring, district hydrochemical surveys and published articles in peer reviewed journals (2021–2025) to conduct a multi scale analysis of...

Reversible computing provides a foundational framework for understanding quantum computation. This paper first examines classical reversible logic gates, including the CNOT and Toffoli gates, and demonstrates how they can simulate arbitrary Boolean functions. We then extend these concepts to quantum...

Because of the abrupt climate change and the gradual depletion of oil and gas resources, there is an extreme need for transitioning into green energy. In this area, this research paper aims to search for alternative forms of energy like solar energy, wind energy, hydro energy, geothermal energy, and...

The effects of climate change are getting worse and spreading faster in many places. The insurance industry is not very connected to any of the sustainability dimensions right now, but that might change quickly. Reports show that India, which is more vulnerable to tropical cyclones and extreme weather,...

Under highly bursty traffic, dynamic cloud offloading, and heterogeneous trust needs, conventional access architectures have unpredictable latency, excessive power cycling, and strict security enforcement, lowering efficiency. Despite extensive research on optical scheduling, energy-aware control, and...

This comparative study aims to evaluate the Life Cycle Assessment (LCA) of making concrete with Treated Grey Water (TGW) over Potable Water; LCA evaluates the amount of Green House Gaseous(GHG)emissionsaswellaswaterefficiencytousetogenerateenvironmentaladvantages. The quantity of greenhouse gases that...

Millions of people it is very difficult to apply for important government documents like income certificates, caste certificates, and proof of domicile, especially if they live in rural areas or have limited digital skills in India. Dispersed portals, unclear instructions, inconsistent state-by-state...

Driver fatigue is one of the key causes of road accidents, especially during long driving hours or late-night hours. Driver fatigue can be detected at an early stage in order to enhance road safety and avoid road accidents. In this paper, it is proposed to design a real-time driver drowsiness detection...

The mango industry suffers heavily from post-harvest losses, especially in tropical agricultural economies. Approximately one-third of the total amount of mangoes that are produced will be lost through the many post-harvest losses associated with fungi that infect the mango crops, as well as other crop...

Homes service management in the modern cities is often characterized by users needing to compare, search manually and book service providers such as plumbers, electricians and cleaners. This is not very fast and is normally time consuming effective and does not utilize automation much even though the...

Online Dispute Resolution (ODR) is an alternate dispute redressal technique to resolve the disputes without meeting a person necessarily. ODR is beyond e-ADR or ADR enabled through technology which can help in avoidance, resolution and containment of dispute because of its features of cost effectiveness,...

RootSense is an artificial intelligence-powered chatbot designed to assist farmers and farming in India by automating crop disease diagnosis and consulting services. Using photographs of crops uploaded by farmers, RootSense utilises hyperlocal environmental variables such as soil qualities, current weather,...

The increasing complexity of environmental, social, and economic challenges requires organizations to rethink how sustainability competencies are developed within the workforce. Traditional training and development (T&D) approaches, which primarily focus on short-term performance and technical skills,...

This investigation seeks to examine the relationship that exists between the culture of the organization and the degree of engagement displayed by the employees in their line of work in software companies rated in the state of Telangana, and hence ensuring the creation of the culture of perceptions that...

In recent years, the way that natural resources are consumed has moved away from being strictly a policy issue to one that the average consumer is relating to through their own consumption choices (Goal 12 - Sustainable Development). Consumers are becoming more aware of sustainability as expressed through...

The random changes in pixel values in digital images can be presented during image transmission, compression, storage or image capturing. The undesirable changes in image are defined as noise that reduces image clarity and can be the cause of instability in quality measurements. Furthermore, the instability...