Search
Now showing items 41-50 of 130
Efficient machine-learning model for fast assessment of elastic properties of high-entropy alloys
(
Elsevier
, 2022 , Article)
We combined descriptor-based analytical models for stiffness-matrix and elastic-moduli with mean-field methods to accelerate assessment of technologically useful properties of high-entropy alloys, such as strength and ...
Towards stacking fault energy engineering in FCC high entropy alloys
(
Elsevier
, 2022 , Article)
Stacking Fault Energy (SFE) is an intrinsic alloy property that governs much of the plastic deformation mechanisms observed in fcc alloys. While SFE has been recognized for many years as a key intrinsic mechanical property, ...
A novel Conceptual Machine Learning Method using Random Conceptual Decomposition
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Formal Concept Analysis (FCA) is emerging in Data Science because of its generality, simplicity, and powerful mathematical foundation. It enabled a uniform data clustering methods into structured space of formal concepts. ...
Structural health monitoring installation scheme using utility computing model
(
Institute of Electrical and Electronics Engineers Inc.
, 2018 , Conference Paper)
In view of intensified disasters and fatalities caused by natural phenomena, there is a pressing need for an efficient environment logging that provides structural information to administrators for a better management and ...
RF-based drone detection and identification using deep learning approaches: An initiative towards a large open source drone database
(
Elsevier B.V.
, 2019 , Article)
The omnipresence of unmanned aerial vehicles, or drones, among civilians can lead to technical, security, and public safety issues that need to be addressed, regulated and prevented. Security agencies are in continuous ...
The P-ART framework for placement of virtual network services in a multi-cloud environment
(
Elsevier B.V.
, 2019 , Article)
Carriers network services are distributed, dynamic, and investment intensive. Deploying them as virtual network services (VNS) brings the promise of low-cost agile deployments, which reduce time to market new services. If ...
Fault and performance management in multi-cloud virtual network services using AI: A tutorial and a case study
(
Elsevier B.V.
, 2019 , Article)
Carriers find Network Function Virtualization (NFV) and multi-cloud computing a potent combination for deploying their network services. The resulting virtual network services (VNS) offer great flexibility and cost advantages ...
MACHINE LEARNING APPLICATION FOR OPTIMIZING ASYMMETRICAL REDUCTION OF ACETOPHENONE EMPLOYING COMPLETE CELL OF LACTOBACILLUS SENMAIZUKE AS AN ENVIRONMENTALLY FRIENDLY APPROACH
(
Prof. Hysen Mankolli, IJEES Electronic Journal Publication
, 2020 , Article)
Recently, optimization of the bioreduction reactions by optimization methodologies has gained special interest as these reactions are affected by several extrinsic factors that should be optimized for higher yields. An ...
Blue collar laborers’ travel pattern recognition: Machine learning classifier approach
(
Elsevier
, 2021 , Article)
This paper proposes a pattern recognition model to develop clusters of homogenous activities for blue-collar workers in the State of Qatar. The activity-based data from the travel diary of 1051 blue-collar workers collected ...
Detecting anomalies within smart buildings using do-it-yourself internet of things
(
Springer
, 2022 , Article)
Detecting anomalies at the time of happening is vital in environments like buildings and homes to identify potential cyber-attacks. This paper discussed the various mechanisms to detect anomalies as soon as they occur. We ...