[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 …
Regression (MLR) are examined to forecast temperature at two pressure level 400 hPa and …
Impact of artificial intelligence on civilization: Future perspectives
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 …
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 …
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
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 …
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
This paper describes the performance assessment of paint manufacturing (PM) unit using
stochastic Petri Nets modelling method. The Petri Nets-based modelling method provides …
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 …
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 …
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
In this industrialization era, ceramic and glass machining companies are looking for
promising machining techniques to get protruding machining quality, especially for fragile …
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 …
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
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 …
designing an intelligent and flexible decision-making process known as data driven decision …