Visvesvaraya Technological University

A STUDY ON THE FACTORS INFLUENCING FARMERS' DECISIONS TO ADOPT AND UTILIZE KISAN CREDIT CARD SCHEME FACILITIES- A CASE STUDY OF KALABURAGI DISTRICT, KARNATAKA

Abstract Agriculture plays an important role in Indian Economy as it provides employment to half of the country’s population. Hence it is necessary to study the credit facilities available for the farmers for increased productivity and development of the sector. Kisan Credit Card...

A STUDY ON THE FACTORS INFLUENCING FARMERS' DECISIONS TO ADOPT AND UTILIZE KISAN CREDIT CARD SCHEME FACILITIES- A CASE STUDY OF KALABURAGI DISTRICT, KARNATAKA

Abstract Agriculture plays an important role in Indian Economy as it provides employment to half of the country’s population. Hence it is necessary to study the credit facilities available for the farmers for increased productivity and development of the sector. Kisan Credit Card...

Probabilistic protection of smart power systems against load redistribution attacks using ai-based critical measurement selection

The modernization of smart power systems through the integration of artificial intelligence (AI), Industrial Internet of Things (IIoT), cloud computing, renewable energy resources, and advanced communication infrastructures has significantly improved operational efficiency and gr...

An Efficient Brain Tumor Classification Framework using Multiscale Shuffle Attention Net and Adaptive Trans-SegUnet for Segmentation

Automated brain tumors diagnosis from MRI images has been profoundly researched for the past few years. Evaluating an MRI scan image is a skilled, tedious, and challenging operation. Recently, many segmentation approaches have been defined for identifying the target object from h...

Thermal and Acoustic Properties of Flax and Hemp Epoxy Bio-Composites Fabricated Using Vacuum-Assisted Resin Infusion Moulding

Synthetic fibre composites deliver high mechanical performance at a substantial energy and carbon cost, motivating a shift to renewable reinforcements. Flax and hemp are credible candidates, but their uptake is constrained by thermal stability and inherent combustibility, and the...

Suitability of granite stone slurry dust and lime sludge for stabilising compacted black cotton soil

This paper explores the potential of combining industrial wastes, specifically granite stone slurry dust (GSSD) and lime sludge (LS), to stabilise expansive black cotton (BC) soil for engineering applications. Lime is known for its effectiveness in soil stabilisation due to its p...

Building energy assessment of conventional and sustainable wall systems for realistic net zero energy buildings (RNZEB)

The building sector is a major contributor to global energy consumption and carbon emissions through both operational energy demand and the embodied carbon of construction materials. While Net Zero Energy Building (NZEB) concepts focus mainly on reducing operational energy, the R...

Performance analysis of energy-efficient secured layered architecture with topology control for UAV-based IoT networks

Purpose The advantage of unmanned aerial vehicles (UAVs) is that they transmit data at a rapid speed, secure architecture and safe data transmission through internet of things (IoT). The simulated results were used to compare the performance of the proposed model with those of ex...

Retrieval-Augmented Generation for Question Answering over a Research Paper: A Hybrid Dense-Keyword Retrieval Study on the Transformer Architecture Paper

Retrieval-Augmented Generation (RAG) combines information retrieval with language generation to improve the grounding of generated answers in a source document, addressing a central weakness of purely parametric large language models: the tendency to produce fluent but unsupporte...

Processions, Routes, and Resonance: Mapping Intangible Heritage Networks in Mysuru

The ceremonial processions in Mysuru’s (India, Karnataka) Dussehra procession provide an example of the importance of intangible cultural heritage in shaping public spaces. This research identifies a new class of urban infrastructure: ceremonial route systems or "Processional Cor...

Systematic review and comparative synthesis of cross lingual question answering systems for low resource Indic languages

Recent advancements in Question Answering (QA) methods on resource-rich languages have significantly improved answer accuracy and contextual understanding performance. However, extending these capabilities to low-resource Indic languages remains a persistent challenge. This study...

An eco-inspired emulsion membrane harnessed with waste vegetable oil for effective separation of ibuprofen: Insights into stability, performance, and kinetics

Emulsion liquid membranes (ELMs) have emerged as excellent alternatives for the separation and recovery of biologically active drugs (BADs) from industrial waste at trace concentrations. Conventional ELMs generally utilize toxic petroleum-based solvents (PBS) that pose environmen...

Explainable AI-assisted sustainable performance optimization of Nano-enhanced rapeseed oil blends in ci engines for optimized engine operation

This study investigates the influence of advanced fuel injection timing on the performance, combustion, and emission characteristics of a compression ignition engine fueled with a rapeseed oil emulsion–pentanol blend (70D25GS5P) supplemented with 150 ppm TiO₂ nanoparticles. Exper...

A systematic review of multimodal emotion and sentiment analysis based agentic AI frameworks in educational systems

The use of agentic Artificial Intelligence (AI) techniques in educational settings has significantly transformed teaching methods, leading to the development of an intelligent system that can recognise and respond to students’ emotional states in real-time. Since multimodal Emoti...

CrayStack ensemble machine learning for predicting engine performance and emissions of multiple feedstock biodiesel blends with CaO-Al2O3 nanoparticles

Abstract The global transition toward sustainable energy has positioned multi-oil feedstocks (Garcinia gummi-gutta and Garcinia indica) to increase feedstock availability, which is vital to biodiesel production, thereby reducing fossil fuel dependencies and limiting harmful emiss...

Hybrid CNN-GRU framework for wind turbine blade defect classification and data-driven severity assessment for predictive maintenance

Abstract The integrity of wind turbine blades is essential for the continuous production of renewable energy. If left unchecked, surface pollution and fissures hasten structural deterioration, lower aerodynamic efficiency, and result in catastrophic blade failure with serious saf...

Privacy-preserving federated learning for detection of AI-generated text using hybrid RoBERTa-CNN models in low-resource languages

The rapid adoption of large language models (LLMs) has transformed educational writing while introducing significant challenges for academic integrity and authorship verification. Existing AI-generated text detection systems predominantly rely on centralized cloud-based infrastru...

Adaptive cognitive firewall: A self-evolving security layer against evasive XSS payloads

Web security has become a critical domain as modern applications increasingly rely on dynamic user-generated content, making them highly vulnerable to Cross-Site Scripting (XSS) attacks. Traditional detection systems struggle to cope with evolving payload patterns, limited genera...

Comparative Performance Analysis of YOLOv10 and YOLOv11 for Automated Mulberry Leaf Nutrient Deficiency Detection

Abstract- Early identification of nutrient deficiencies in mulberry leaves is essential for maintaining leaf quality,improving silkworm productivity, and supporting sustainable sericulture practices. Conventional assessment methodsrely heavily on manual observation, which can be...

Enhancing botnet attack detection using a hybrid deep learning model combining network flow and DNS query features with explainable AI for cybersecurity

Abstract The growing dependency on the Internet and the expanding demand for connectivity have led to an increasing threat of botnet-based cyberattacks. Botnets are networks of infected devices managed by a botmaster. The botnets can launch distributed denial of service (DDoS) at...