Visvesvaraya Technological University

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...

Flexural strengthening of RC beams with NSM technique by vertical and inclined orientation of CFRP laminate

Abstract Retrofitting of reinforced concrete (RC) beams with FRP materials addresses issues of structural deterioration, offering a robust alternative to traditional steel reinforcement. This study experimentally investigates the flexural strengthening of RC beams using near-surf...

Synergistic experimental and ANN-based prediction of mechanical properties of basalt fiber reinforced high-strength concrete

This research focuses on how basalt macrofibers and microfibres affect the durability and Mechanical properties of M60 high-strength concrete. Compressive, split tensile, flexural strength, and acid resistance tests were employed to assess the performance of fiber-reinforced conc...