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Now showing items 21-30 of 36
An SEM-ANN analysis of the impacts of Blockchain on competitive advantage
(
Emerald Publishing
, 2023 , Article)
Purpose: Though Blockchain has been studied in numerous contexts, the understanding of the impacts of Blockchain in achieving competitive advantages remains unexplored. Many industries, organizations and firms are still ...
Predictive ANN models for varying filler content for cotton fiber/PVC composites based on experimental load displacement curves
(
Elsevier Ltd
, 2020 , Article)
In this paper, artificial neural network (ANN) models are developed to predict the load-displacement curves for better understanding the behavior of cotton fiber/polyvinyl chloride (PVC) composites. Series of experiments ...
Data-driven modeling to predict the load vs. displacement curves of targeted composite materials for industry 4.0 and smart manufacturing
(
Elsevier Ltd
, 2021 , Article)
This work presents an approach for smart manufacturing focusing on Industry 4.0 to predict the load vs. displacement curve of targeted cotton fiber/Polypropylene (PP) composite materials while complying with the required ...
Optimal filler content for cotton fiber/PP composite based on mechanical properties using artificial neural network
(
Elsevier Ltd
, 2020 , Other)
In this paper, a machine learning-based approach has been proposed to integrate artificial intelligence during the designing of fiber-reinforced polymeric composites. With the help of the proposed approach, an artificial ...
Design of composite rectangular tubes for optimum crashworthiness performance via experimental and ANN techniques
(
Elsevier Ltd
, 2022 , Article)
This paper examines the crashworthiness performance of composite rectangular tubes using experimental and artificial neural network (ANN) techniques. Based on experimentally obtained values of different crashworthiness ...
Non-communication and artificial neural network based photovoltaic monitoring using the existing impedance relay
(
Elsevier
, 2020 , Article)
This paper deals with developing a new technique based on artificial neural networks (ANN) for monitoring of the remote grid connected photovoltaic (PV) plant. An ANN utilizes the existing impedance relays’ measurements ...
A comprehensive optimization study of personal cooling radiant desks integrated to HVAC system for energy efficiency and thermal comfort in office buildings
(
Elsevier
, 2023 , Article)
Personal comfort systems (PCS) maintain the occupant's preferred thermal environment and expand his thermal comfort experience under varying environmental conditions. Among PCSs, radiant-based systems are popular due to ...
Experimental Investigation and Uncertainty Prediction of the Load-Carrying Capacity of Composite Double Hat for Lattice Core Sandwich Panels Using Artificial Neural Network
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Carbon fiber reinforced composites are promising candidates for building advanced multifunctional structures with superior properties that are suitable for the next generation of automotive and aircraft applications. This ...
Synergistic effects of catalytic co-pyrolysis Chlorella vulgaris and polyethylene mixtures using artificial neuron network: Thermodynamic and empirical kinetic analyses
(
Elsevier
, 2022 , Article)
The catalytic pyrolysis of Chlorella vulgaris, high-density polyethylene (Pure HDPE) and, their binary mixtures were conducted to analyse the kinetic and thermodynamic performances from 10 to 100 K/min. The kinetic parameters ...
Application of Artificial Neural Network Approach for the Kinetic Parameters Determination of Pyrolysis Aseptic Waste Packages
(
Institute of Electrical and Electronics Engineers Inc.
, 2023 , Conference Paper)
The thermal degradation behavior for the pyrolysis of aseptic packages was studied using thermogravimetric analyzer under nitrogen atmosphere at the temperature range of 50–900°C with five different heating rates (10, 20, ...