DSpace JSPUI

The global solar photovoltaic (PV) installed capacity has been increasing exponentially since the beginning of the current millennium and has now surpassed 1,866 GW. It is further projected to exceed 4,500–5,000 GW by 2050 if it continues to grow at the same pace. Though capacity addition at this exponential rate will help meet the ever-growing energy demand, it may bring along several environmental concerns that have not received adequate attention from researchers and policymakers...

Major mental health disorders, like depression and anxiety, constitute a growing global public health challenge grossly exacerbated by large-scale crises, such as that presented by the COVID-19 pandemic. The unprecedented disruption brought on by prolonged lockdowns, social isolation, economic uncertainty, and health-related stressors has increased psychological distress throughout diverse populations, leading to an increase in undiagnosed and untreated mental health disorders. The early...

Heterogeneous and stratified porous media exhibit complex flow behaviour because variations in soil composition, pore structure, layer arrangement, and orientation directly influence seepage pathways and hydraulic conductivity. Reliable assessment of these effects is important for geotechnical, groundwater, waste-containment, drainage, and environmental engineering applications. The present study investigates the combined influence of chemical modification, microbiological treatment...

The present work entitled “Design, Synthesis, and Applications of Indole and Isoindole Derivatives” has been divided into six chapters. Chapter 1 covers the general description of various synthetic methodologies of indole and isoindolin-1-one heterocyclic compounds and their biological applications. Chapter 2 covers the in-silico studies of 3-acyl-3-hydroxyisoindolin-1-one derivatives as potential MAO-B inhibitors for neurodegenerative diseases focusing on PD. A large library of ...

Vehicular Ad Hoc Networks (VANETs) form the communication backbone of Intelligent Transportation Systems (ITS), enabling vehicle-to-vehicle and vehicle-to infrastructure exchange for safety-critical and traffic-management services. However, the high mobility of vehicles, rapidly changing topology, fluctuating density, and intermittent connectivity make stable and reliable communication difficult, producing unstable links, frequent cluster reformation, control overhead, and degraded ...

The continuous increase in power density and miniaturization of modern electronic systems has intensified the demand for advanced thermal-management technologies capable of dissipating high heat fluxes while maintaining thermal reliability and energy efficiency. Although microchannel heat sinks have emerged as one of the most effective cooling technologies for electronic applications, their performance is often constrained by the competing requirements of heat-transfer enhancement, ...

In this study, two by-products, lime sludge (LS) and Metakaolin (MK), were used as partial replacements for cement to enhance the mechanical, durability and microstructural properties of concrete. MK is a reactive aluminosilicate pozzolan, whereas LS is a calcium-rich by-product of the paper industry. The investigation was carried out in two linked phases. In the first phase, M25 grade concrete was prepared with LS and MK at replacement levels of 0–15% each (a 4 × 4 factorial set of...

The present thesis studies cosmological models in which exotic fluids, matter creation mecha nisms, bulk viscous effects, and modified gravity frameworks are used to describe the late-time evolution of the Universe. The work is motivated by the need to understand cosmic acceler ation, observational tensions, and possible alternatives to the standard cosmological picture. The thesis combines theoretical modelling with observational constraints and compares the proposed models with the sta...

Road infrastructure plays an important role in ensuring road safety and efficiency, particularly with the growing integration of Advanced Driver Assistance Systems (ADAS) and intelligent vehicles. In order to reduce accidents and preserve driving comfort, accurate road surface condition detection and monitoring are important. The rapid deterioration of road surfaces due to cracks, potholes, and other structural damage poses significant risks to driving safety and incurs high maintenance ...

The increasing global demand for energy, coupled with the environmental consequences of prolonged reliance on fossil fuels, has intensified the search for sustainable, renewable energy alternatives. Among these, biofuels have emerged as a promising solution due to their potential to reduce greenhouse gas emissions, enhance energy security, and support rural economies. In the Indian context, rapid industrialization, urbanization, and population growth have further increased energy ...

The rapid growth of data-intensive computing has increased the performance pressure on memory systems. In conventional processor–memory organizations, a significant fraction of energy and latency is consumed in transferring data between memory and logic units, even when the required operation is simple. Static random-access memory (SRAM) remains a key on-chip memory technology because of its high access speed, compatibility with standard CMOS processes, and widespread use in cache memori...

Landslide Susceptibility Assessment (LSA) is crucial for understanding and mitigating landslide risks, especially in vulnerable regions like Sikkim, where complex topography, diverse geological formations, and significant precipitation contribute to instability. This study integrates geospatial analysis with statistical modelling techniques to evaluate the influence of 10 landslide conditioning factors (LCFs), including aspect, rainfall, curvature, elevation, hillshade, roughness, s...

A widespread utilization of organophosphate pesticides in the agriculture sector has led to serious environmental and public health issues due to the toxicity and non-biodegradability. One of the most commonly used organophosphate pesticides, fenitrothion, can enter water, soil and food products causing serious health effects to people and ecosystems. So, it is highly needful to evolve a rapid, sensitive and cost-effective detection method for fenitrothion monitoring. In the present...

Alluvial rivers are prone to bank erosion and channel instability, a problem that worsens during high flows and floods, when rising velocity and bed shear stress can rapidly erode banks, shift the channel, and damage surrounding land and infrastructure. Spur dikes are a common river-training response to this, built to redirect the flow, protect the bank, and encourage sediment deposition. Their own use, however, brings a problem of its own: local scour at the structure, which if lef...

Because of rapid growth of AI-based bidding process systems in digital marketing, power market and e-commerce platforms has an mandatory design of sophisticated and bendable bidding strategies, able of operating in challenging dynamic environments. This thesis finds the application of very common multi-agent game theory as structure for the bidding strategy optimizations in AI driven auctions systems. In multiple agent cases where self-interested and autonomous agents associate in face...

Deep Learning based image processing models such as denoising, super-resolution and deraining consume significant computational resources, curated data and engineering effort. However when models such as those, are available through publicly accessible APIs, it renders them vulnerable to Surrogacy Model Extraction attacks, in which an adversary sends queries to the model, collects the output and training a functionally equivalent replica of the model without acquiring its parameters...

Nowadays, machine learning-based models are becoming increasingly popular in the health care environment for disease prediction and creating decision support systems. Although such algorithms usually demonstrate high predictive performance, they tend to be quite black box and, therefore, non-interpretable or at least partially uninterpretable. In case when the system is not interpretable enough, clinicians may not trust it, which ultimately leads to low adoption rates in healthcare envir...

Modern vision systems are widely used in autonomous vehicles, smart surveillance, healthcare imaging, industrial monitoring, and IoT-based applications. These systems continuously process large amounts of visual data and require fast and reliable decision making. Traditional cloud-based processing often faces problems such as high latency, bandwidth usage, privacy risks, and unstable network connectivity. Edge Artificial Intelligence (Edge AI) has emerged as an effective solution by perf...

Continuously depleting fossil fuels reserves, rising fuel costs and environmental concerns have led to the emergence of EVs as a popular choice of transportation. The rapid growth of EV adoption presents significant operational challenges for power distribution networks due to the stochastic, time-varying, and unbalanced nature of EV charging demand as it significantly affects power distribution network performance, causing distortions in the daily demand profile, increased power distri...