A5056450544- Reliability and Maintenance Optimization
- Software Reliability and Analysis Research
- Statistical Distribution Estimation and Applications
- Conducting polymers and applications
- Survey Sampling and Estimation Techniques
- Electromagnetic wave absorption materials
- Fault Detection and Control Systems
- Power System Reliability and Maintenance
- Water Systems and Optimization
- Risk and Safety Analysis
- Probabilistic and Robust Engineering Design
- Magnetic Properties and Synthesis of Ferrites
- Energy Load and Power Forecasting
- Water resources management and optimization
- Sugarcane Cultivation and Processing
- Dental Research and COVID-19
- Multi-Criteria Decision Making
- Advanced Manufacturing and Logistics Optimization
- Reproductive Biology and Fertility
- Transition Metal Oxide Nanomaterials
- Advanced Battery Technologies Research
- Child Nutrition and Water Access
- Advanced Queuing Theory Analysis
- Supercapacitor Materials and Fabrication
- Dental Health and Care Utilization
Manipal University Jaipur
2016-2025
All India Institute of Medical Sciences Rishikesh
2021-2025
Deenbandhu Chhotu Ram University of Science and Technology
2018-2024
All India Institute of Medical Sciences
2021-2024
Universiti Teknologi MARA
2024
Ramboll (Germany)
2023
All India Institute of Medical Sciences Raipur
2023
All India Institute of Medical Sciences Bhopal
2023
Dar Al Uloom University
2021-2023
Sawai ManSingh Medical College and Hospital
2022
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...
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...
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,...
AI estimation is a man-made mental ability procedure for tracking down data chasing after keen decisions. Gigantic Data exceptionally influences consistent divulgences and worth creation. This paper presents methods in Computer based intelligence, fundamental improvements Big data. it huge care considering the likelihood that structures can get from data, see models make decisions with irrelevant human intercession. Learning appraisals various applications we use common. Each time web search...
Alzheimer’s Disease (AD) is a progressive neurodegenerative disorder that affects cognitive functions, leading to memory loss and impairment [8]. Early detection crucial for effective intervention, yet traditional diagnostic methods remain limited [12]. This research presents comparative analysis of multiple machine learning approaches automated classification AD stages. Utilizing MRI images from the OASIS dataset, study evaluates Convolutional Neural Networks (CNNs), Recurrent (CRNNs),...
Software reliability, reusability, and availability are critical attributes that define the quality effectiveness of software systems. These characteristics ensure meets user expectations, performs consistently, can be efficiently maintained extended over time. Reliability refers to ability perform its intended functions under specified conditions without failure a given period. It is measure software's consistency dependability. Reliable minimizes errors, handles exceptions gracefully,...