[PDF][PDF] Material Today Proceedings

A Jain, AK Yadav, Y Shrivastava - 2019 - researchgate.net
In this paper, the estimation capacities of Artificial Neural Network (ANN) and Multiple Linear
Regression (MLR) are examined to forecast temperature at two pressure level 400 hPa and …

Impact of artificial intelligence on civilization: Future perspectives

P Rajendra, M Kumari, S Rani, N Dogra… - Materials Today …, 2022 - Elsevier
Artificial intelligence is a scientific term that refers to artifacts, detect situations and respond
to those circumstances with actions. The ability to create such improved artifacts has more …

Study of fuzzy expert systems towards prediction and detection of fraud case in health care insurance

G Kalra, YK Rajoria, R Boadh, P Rajendra… - Materials Today …, 2022 - Elsevier
The size of this issue is sufficiently enormous to focus on it issue for wellbeing structures.
Unseemly installments by protection associations or outsider payers happen due to …

Prediction of temperature for various pressure levels using ANN and multiple linear regression techniques: A case study

S Jain, S Rathee, A Kumar, A Sambasivam… - Materials Today …, 2022 - Elsevier
In this paper, the estimation capacities of Artificial Neural Network (ANN) and Multiple Linear
Regression (MLR) are examined to forecast temperature at two pressure level 400 hPa and …

Stochastic Petri nets modelling for performance assessment of a manufacturing unit

A Kumar, V Kumar, V Modgil, A Kumar - Materials Today: Proceedings, 2022 - Elsevier
This paper describes the performance assessment of paint manufacturing (PM) unit using
stochastic Petri Nets modelling method. The Petri Nets-based modelling method provides …

Urban mobile robot routing using fast search random tree method (RRT) in obstacle environments

HY Hsieh, KH Chen, CJ Shieh, S Askar… - Journal of the Brazilian …, 2024 - Springer
In this paper, the objective of path planning and control systems for robot is multifactorial.
The method used for navigation algorithms based on is closed-loop random trees with quick …

Equipment-centric Data-driven Reliability Assessment of Complex Manufacturing Systems

J Friederich, W Cai, BP Gan… - Proceedings of the 2023 …, 2023 - dl.acm.org
Complex manufacturing systems produce highly engineered products with long product
cycle times and are characterized by complex production process behaviors. Ensuring the …

In-situ experimental investigation using chemical-assisted rotary ultrasonic drilling process on fragile material

A Sharma, V Jain, D Gupta - International Journal on Interactive Design …, 2024 - Springer
In this industrialization era, ceramic and glass machining companies are looking for
promising machining techniques to get protruding machining quality, especially for fragile …

Research on dynamic scheduling and perception method of assembly resources based on digital twin

Y Wang, Y Wang, W Ren, Z Wu, J Li - International Journal of …, 2024 - Taylor & Francis
The uncertainty and dynamic changes in assembly resources can seriously affect the normal
operation of the assembly plant. In response to the problems of incomprehensive resource …

Investigating and Modeling the Critical Barriers Hindering the Adoption of Data-Driven Decision Making in Advanced Manufacturing Systems

VK Ojha, S Goyal, M Chand, A Kumar - Journal of The Institution of …, 2024 - Springer
Industry 4.0 has enabled manufacturing organizations to integrate big data analytics for
designing an intelligent and flexible decision-making process known as data driven decision …