Proceedings of the International Conference on Intelligent Information Systems Design and Indian Knowledge System Applications (ICISDIKSA 2026)
22 articles
Proceedings Article
Peer-Review Statements
Preenon Bagchi, T. Senthil Kumaran, G. Dhanalakshmi, R. Somashekhar, Sumit Kumar
All of the articles in this proceedings volume have been presented at the ICISDIKSA-2026 during January 8-9, 2026 in jointly from Abu Road and Bengaluru, India. These articles have been peer reviewed by the members of the Sarvasumana Association, Madhav University and ACS College of Engineering and approved...
Proceedings Article
Analysis of toxic constituents of Nerium oleander by GC-MS-MS
Surabhi Sharma, Karan Sharma
Cardiac Glycosides along with other bioactive compounds are found in Nerium oleander, which is a plant used in India for its ornamental values. The study presented here classify and identifies the elements toxic in nature in this plant by using GC-MS MS. In this study fresh leaves were taken and were...
Proceedings Article
Connected Minds, Inclusive Futures: Bridging Digital Gaps in Higher Education
Soumik Mukherjee, Shreeja Dey, Jhuma Mukhopadhyay
The inclusion of digital media in higher education has proven to be a critical determinant of equitable learning opportunities, particularly in an era marked by rapid technological advancement. The accessibility of digital tools, reliable connectivity to the internet combined with adequate digital literacy...
Proceedings Article
Synthesis and Characterization of PEG-Stabilized Gold Nanoparticles for Sensitive Detection of Water Pollutants and Volatile Organic Compounds in Biomedical Applications
Deborah Sabhan, V. Manonmani, P. S. Rajakumar, G. Gunasekaran, Sai Shanmuga Raja, K. Amuthanantham
Gold nanoparticles (AuNPs) possess exceptional optical and chemical attributes, rendering them highly suitable for environmental surveillance and biomedical diagnostics. When stabilized with polyethylene glycol (PEG), these nanoparticles achieve enhanced colloidal stability and biocompatibility, facilitating...
Proceedings Article
Demystifying the Databricks Ecosystem: An Industry-Oriented Guide to Lakehouse Architecture
Saikiran Gogineni, Yuvaraju Chinnam, Kanaka Durga Returi, Vaka Murali Mohan, G. Suryanarayana
The exponential growth in data has created a need for platforms capable of storing both structured & unstructured data, effectively processing the data, analyzing, and creating machine learning models. Traditional data lakes and warehouses often lack the flexibility and performance to provide these...
Proceedings Article
End-to-End Data Analysis of Brazilian E-Commerce Transactions
Saikiran Gogineni, Yuvaraju Chinnam, Kanaka Durga Returi, Vaka Murali Mohan, G. Suryanarayana
E-commerce platforms produce substantial and varied amounts of data, which create opportunities for deriving insights about customers, products, and logistics through complete analytical procedures. This article offers an end- to-end data analysis of the Brazilian E-Commerce public dataset, which integrates...
Proceedings Article
Data Augmentation Techniques for Convolutional Neural Network–Based Vocal Pitch Estimation in Carnatic Music
Oral Roberts Nithiprakasam, S. Revathi
Vocal pitch estimation is an important part of analysis and preservation of Carnatic music where microtonal variations and ornamental movements define the melodic identity. However, the detection of accurate and stable pitch is still a challenge because of the diversity in vocal styles, recording conditions...
Proceedings Article
A Comprehensive Review on Breath Analyzer as a Point-of-Care Device for VOC-Based Lung Cancer Risk Prediction using Deep Learning
Manonmani Vadivel, Devi Chokkalingam, S. Balamurugan, R. Priyadharshini, V. Cyril Raj, S. Pushpavanam
All over the world, lung cancer is one of the most widespread causes of cancer-associated deaths, and this problem is largely supported by the late diagnosis of this disease and the shortcomings of the currently used screening method like low-dose computed tomography (LDCT). Breath analysis has become...
Proceedings Article
In-silico analysis of the phytochemicals in the extracts of seeds from Michelia champaca L
Keerthi S. Kotabal, Yashwanth Kh, Preeti S. Kotabal, S Vijaya Kumari, G Dhanalakshmi, Sharad S. Achar
In the traditional system of medicines, plants are the primary source for treatment of various ailments. This study focuses on the possibility of the health benefits of seeds from Michelia champaca L. The seeds were subjected to qualitative and quantitative tests and observed to contain a wide range...
Proceedings Article
Real-Time Virtual Try-On for Fashion E-Commerce Using Diffusion-Based Generative Models
B. Mugilan, K. Naveen, S. Revathi
This study aims to offer a new avenue for improving the virtual online shopping experience in real time with a novel virtual try-on system developed using the OTTDiffusion generative model on Hugging Face. By fusing advanced diffusion-based image synthesis with robust e-commerce platforms, this solution...
Proceedings Article
Fusion Oncogenes in Lung Adenocarcinoma: Molecular Mechanisms, Diagnostic Complexities, and Innovations in Targeted Therapies
Aman Tiple, Chaitali Dhande, Preenon Bagchi
Rare sarcomas are a spectrum of mesenchymal cancers which are characterised by common driver mutations with most being the result of recurrent chromosomal translocations that create oncogenic fusion proteins. These fusions (e.g., EWS–FLI1, CIC–DUX4, SS18–SSX and others) are dominant molecular drivers...
Proceedings Article
Speech Emotion Recognition using Constant-Q Transform and Deep Learning
S. Revathi , V. MuthuPriya, R. Akila , Salman Faris Syed, K. Mohammed Zahaan Dhande
In today’s digital world, machines are evolving beyond basic speech-to-text systems. This project develops an emotionally aware solution that recognizes both spoken words and the underlying emotions. The system combines Constant-Q Transform (CQT) for capturing time frequency audio features with Recurrent...
Proceedings Article
Capturing Subtle Morphological Differences in Blood Cells with Involution-Based Networks
Saikiran Gogineni, Yuvaraju Chinnam, Kanaka Durga Returi, Vaka Murali Mohan, G. Suryanarayana
Accurate classification of blood cells is required when diagnosing blood-related illnesses. But classifying very fine-grained blood cells is a complex task. Due to subtle differences between classes that are clinically significant, categorizing blood cells is more complex than classifying Stanford Cars...
Proceedings Article
Green AI: A Comprehensive Survey on Sustainable and Eco-Efficient Artificial Intelligence Practices
Saikiran Gogineni, Yuvaraju Chinnam, Kanaka Durga Returi, Vaka Murali Mohan, G. Suryanarayana
Artificial Intelligence (AI) have become a major focus of innovation, yet with significant environmental costs. Constructing and deploying large-scale AI models requires significant and deep computational and processing power, which leads to high energy consumption and ultimately carbon emissions. Green...
Proceedings Article
AI-Powered Email Summarization and Assistant System for Internship and Job Offer Management using LLMs
T. S. M. Sudara, S. Revathi, V. Muthupriya, R. Akila
As students and other professionals become so dependent on email for internship and job opportunities, managing the confusing and unstructured communication becomes quite a challenge. This research presents an AI-backed email assistant that leverages large language models (LLMs) to convert unstructured...
Proceedings Article
Validation of Phytochemical Methods for Cerbera odollam
Karan Sharma, Surabhi Sharma
The study presented here validates the typical phytochemical methods for the analysis of bioactive complexes in Cerbera odollam, which is commonly known for its suicidal properties (suicide tree) qualitatively. This species of plants is of great use in Forensic Science for its toxicological significance....
Proceedings Article
VigilNet: An Adaptive Context-Based Lossless Data Compression Framework for IoT-Enabled Women’s Safety Systems
P. Divya, M. Kumaresan, P. Manikandan
The rapid growth of Internet of Things (IoT) devices in women's safety applications has led to an unprecedented surge in data generation. Managing and processing this data efficiently while ensuring real-time response in emergencies remains a significant challenge. This paper introduces VigilNet,...
Proceedings Article
Computational Screening of Psidium guajava and Carica papaya Phytochemicals for Anti-Gout Activity via Xanthine Oxidase Inhibition
Tanisha Chakraborty, Amita Zodpe, G. Dhanalakshmi
Gout, a metabolic disorder characterized by hyperuricemia is an effect of dysregulation of the de-novo purine pathway, caused by the hyperactivity of Xanthine oxidase (XOD), the fundamental enzyme accountable for uric acid formation. This study investigated the anti-hyperuricemic potential of phytochemicals...
Proceedings Article
Integrating Oxford Nanopore Sequencing with Epigenetic Analysis for Precision Medicine in Glioblastoma Multiforme
Vaibhavi Jain, Arpita Kharat, Abhinandan Yadav, Preenon Bagchi
Gliomas, particularly glioblastoma multiforme (GBM), are highly aggressive brain tumors with complex epigenetic landscapes involving DNA methylation modifications such as 5-methylcytosine (5mC) and 5-hydroxymethylcytosine (5hmC). These epigenetic marks regulate gene expression without altering the DNA...
Proceedings Article
Optimizing IoT Sensor Data Management for Women's Safety: A VigilNet-Based Dynamic Data Stream Simplification Approach
P. Divya, P. LakshmiPriya, G. S. Keerthi
The growing data volume from Internet of Things (IoT) devices in women's safety applications requires advanced data management strategies for efficient processing and real-time responsiveness. This research introduces Dynamic Data Stream Simplification (DDSS) within the VigilNet system, a method...
Proceedings Article
Emerging Magnetic Nanotechnological Approaches for DNA Extraction from Saliva
Sachita Rautulwad, Pooja Ippar
Saliva plays a crucial role in forensic work mostly because it is easy to collect and packed with DNA. But the traditional methods for extracting DNA takes time and not always gives the proper result. This review focuses on some new nanotechnological methods that make extraction of DNA from saliva faster...
Proceedings Article
Integrating Mindfulness and Yoga Practices to Reduce Anxiety and Fatigue Among University Students
Sumit Kumar, Neha Khaiwal, Mamta Sahu, Preenon Bagchi
The integration of mindfulness and yoga practices has emerged as an effective nonpharmacological approach to reducing anxiety and fatigue among university students. With increasing mental health concerns in academic settings, these mind-body practices offer promising benefits. This research aimed to...