A5005123741- Reliability and Maintenance Optimization
- Software Reliability and Analysis Research
- Statistical Distribution Estimation and Applications
- Power System Reliability and Maintenance
- Fault Detection and Control Systems
- Risk and Safety Analysis
- Water Systems and Optimization
- Energy Load and Power Forecasting
- Advanced Queuing Theory Analysis
- Consumer Retail Behavior Studies
- Survey Sampling and Estimation Techniques
- Probabilistic and Robust Engineering Design
- Distributed and Parallel Computing Systems
- Child Nutrition and Water Access
- Water resources management and optimization
- Customer Service Quality and Loyalty
- IoT and Edge/Fog Computing
- Energy and Environment Impacts
- Digital Marketing and Social Media
- Sugarcane Cultivation and Processing
- Asphalt Pavement Performance Evaluation
- Cloud Computing and Resource Management
- Infrastructure Maintenance and Monitoring
- Consumer Behavior in Brand Consumption and Identification
- Chaos-based Image/Signal Encryption
Manipal University Jaipur
2016-2025
Government of Uttar Pradesh
2024
Jain University
2024
Sharda University
2024
Institute for Health Metrics and Evaluation
2024
University of Washington
2024
Bennett University
2024
BioReliance (United States)
2024
Akron General Medical Center
2023
Cleveland Clinic
2023
Metaheuristic algorithms are extensively utilized to find solutions and optimize complex industrial systems' performance. In this paper, metaheuristic predict the optimum value of operational availability a cooling tower in steam turbine power plant. These techniques have some flaws like poor convergence speed, being stuck local optima, premature convergence. For purpose, novel efficient stochastic model is proposed for that configured with six subsystems. The Markovian birth-death process...
Water, sanitation, and hygiene interventions have varying effectiveness in reducing fecal contamination the domestic environment; delivering them combination could yield synergies. We conducted environmental assessments within a randomized controlled trial Bangladesh that implemented single combined water treatment, handwashing (WSH) nutrition (WASH Benefits, NCT01590095). After one two years of intervention, we quantified indicator bacteria samples drinking (from source or storage), child...
Abstract The prominent objective of the present study is to optimize availability condenser units in steam turbine power plants. For this purpose, a novel stochastic model proposed by considering as system consisting seven subsystems. All time‐dependent random variables associated with failure rates followed exponential distribution while repair are arbitrarily distributed. Furthermore, attain optimum value nature‐inspired algorithm has been applied. Predicting future phenomena very...
This analysis aims to develop an efficient mathematical model for prediction of the system availability a solar photovoltaic power plant under concept redundancy and exponentially distributed random variables. For this objective, stochastic is created with help Markov birth-death technique. It assumed that all repairs are perfect variables statistically independent. The predictive techniques, namely regression artificial neural networks used predict PV in different experimental setups SPSS...
Purpose The present study explores the effect of environmental, social and governance (ESG) controversies on firm value. Further, investigates when industry munificence moderates this association. Design/methodology/approach research employs 5,670 firm-year observations from 2012 to 2018 for United States (US)-based firms Refinitiv database. direct moderating effects were tested using a fixed panel regression model. Findings primary analysis unexpectedly demonstrates that ESG do not affect...
The present study is designed to develop an efficient stochastic model optimize the performance of paper manufacturing plants (PMP) using nature-inspired algorithms. plant a very complex entity configured several subsystems. All subsystems in series structure and failure anyone causes complete system failure. To achieve objective proposed study, initially RAMD investigation each subsystem power performed later developed for prediction Markov birth–death process used Chapman–Kolmogorov...
The prominent objective of present study is to develop an efficient mathematical model for performance optimization stock preparation unit paper plants using the concept redundancy. Stock in manufacturing involves converting raw into finished machine. This process several subsystems like storage tanks, repulping/Slushing, deflaking, and mixing chests, machine itself various redundancy strategies. For system analysis, a developed Markov birth death along with reliability, availability,...
Recent advances in legged locomotion have en-abled quadrupeds to walk on challenging terrains. However, bipedal robots are inherently more unstable and hence it's harder design walking controllers for them. In this work, we leverage recent rapid adaptation control, extend them work robots. Similar existing works, start with a base policy which produces actions while taking as input an estimated extrinsics vector from module. This contains information about the environment enables controller...
We exploit the complementary strengths of vision and pro-prioception to develop a point-goal navigation system for legged robots, called VP-Nav. Legged systems are capable traversing more complex terrain than wheeled but fully utilize this capability, we need high-level path planner in be aware walking capabilities low-level locomotion policy varying environments. achieve by using proprioceptive feedback ensure safety planned sensing unexpected obstacles like glass walls, properties...