A5100645725- Superconducting Materials and Applications
- Particle accelerators and beam dynamics
- Magnetic confinement fusion research
- Transport and Logistics Innovations
- Vibration Control and Rheological Fluids
- Infrastructure Maintenance and Monitoring
- Remote Sensing in Agriculture
- Urban Heat Island Mitigation
- Industrial Technology and Control Systems
- Fire Detection and Safety Systems
- Telecommunications and Broadcasting Technologies
- Industrial Automation and Control Systems
- EEG and Brain-Computer Interfaces
- Dementia and Cognitive Impairment Research
- Structural Engineering and Vibration Analysis
- Geotechnical Engineering and Underground Structures
- Railway Engineering and Dynamics
- Art History and Market Analysis
- Electric and Hybrid Vehicle Technologies
- Heat Transfer Mechanisms
- Experimental Behavioral Economics Studies
- Economic and Environmental Valuation
- Wireless Communication Networks Research
- Land Use and Ecosystem Services
- Nanofluid Flow and Heat Transfer
Indian Institute of Technology Delhi
2023
Ministry of Environment, Forests and Climate Change
2023
National Institute of Technology Patna
2022
Galgotias University
2022
Rajendra Institute of Medical Sciences
2020
Integrated Test Range
2017
Coal mine accidents are becoming more common. Many skilled workers and labourers have died. There is no early warning system in place to detect the alarming cause of coal issue an alert. In mining industry, workplace injuries illnesses Firedamp residue blasts, landslips, flames, transport motorization related specialized disappointments most well-known reasons for mishaps mining. As per investigation word with regards social financial variables uncovers genuine these mishaps, which said...
The implementation of machine learning for the real-time prediction suitable value damping ratio a semi-active tuned mass damper (SA-TMD) is investigated to ensure enhanced vibration control in vehicle–bridge interaction (VBI) problems. response assessment uncontrolled, (TMD)-controlled, and SA-TMD-controlled bridge models performed under Japanese Shinkansen (SKS) train model. energy-based predictive (EBP) algorithm implemented fitted with SA-TMD. EBP algorithm-controlled SA-TMD results more...
Abstract: The global focus on sustainable transportation has led to the emergence of retrofitting existing conventional bikes as a practical strategy transition from traditional combustion engine vehicles environmentally friendly alternatives. This research delves into conceptualization, design, and implementation technologies aimed at enhancing performance, efficiency, environmental impact bikes. In age Technological Advancement, Innovations, Development, Electric Mobility trend captured...
Background: This was a prospective observational study done to observe the effects of telmisartan on cognitive function in hypertensive dementia patients.Methods: The included new diagnosed and normotensive patients. Patients comprised four groups; patients taking (group 1), donepezil 2), 3) drugs which does not affect memory 4).Cognitive groups were compared each other at 4, 8 12 weeks.Results: In group 1, 2 3 mini-mental state examination (MMSE) scores has increased by 1.69, 16.81, 13.28...
<p>The received signal at the ground station for a satellite link is affected by stochastic nature of atmospheric channel. Adverse weather events such as rain not only attenuates but also increases noise, scintillation fading and multipath effects that cause rapid variations in station. In order to analyze phenomenon on performance short-term basis, both slowly changing attenuation caused channel receiver has be studied. this work, we first statistical spectral properties fast varying...
In this research, we present an innovative method known as a physics-informed neural network (PINN) model to predict multi-joint kinematics using electromyography (EMG) signals recorded from the muscles surrounding these joints across various loads. The primary aim is simultaneously both shoulder and elbow joint angles while executing flexion-extension (FE) movements, especially under varying load conditions. PINN constructed by combining feed-forward Artificial Neural Network (ANN) with...
We study the cake-cutting problem when agents have single-peaked preferences over cake. show that a recently proposed mechanism by Wang-Wu (2019) to obtain envy-free allocations can yield large welfare losses. Using simplifying assumption, we characterize all Pareto optimal allocations, which simple structure: are peak-preserving and non-wasteful. Finally, provide alternative mechanisms dominate of Wang-Wu, achieve envy-freeness or optimality.