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Institution

International Islamic University, Chittagong

EducationChittagong, Bangladesh
About: International Islamic University, Chittagong is a education organization based out in Chittagong, Bangladesh. It is known for research contribution in the topics: Debye model & Density functional theory. The organization has 1111 authors who have published 1089 publications receiving 7918 citations. The organization is also known as: IIUC.


Papers
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Journal ArticleDOI
TL;DR: A comparative study shows the cost-effective provisioning for the healthcare data through portfolio optimization and ADMM methods over the traditional certainty equivalent and greedy approach, respectively.

44 citations

Journal ArticleDOI
TL;DR: In this article, the ground state properties and electronic structure of NbB2 were studied by an ab initio density functional method using the gradient-corrected approximation, and the structural and bonding properties and pressure effects were discussed and the results compared with other calculations and experiments where available.

44 citations

Proceedings ArticleDOI
21 May 2015
TL;DR: The proposed framework is extremely efficient in terms of recognition performance and computational time as it can recognize both small and large set of activities very accurately with different number of features in different sensor settings, while it needs fairly small amount of time for training and classification.
Abstract: Learning and recognizing the physical activities of human based on wearable sensor has a wide range of applications in many fields such as assistive healthcare and security surveillance. In this paper, we propose an activity recognition framework based on extremely randomized trees and guided random forest to recognize both simple and complex activities from wearable sensor. In order to recognize different activities using extremely randomized trees, we first select most important features from all available features applying the feature selection method, namely, guided random forest; then, selected features are used to build the classifier for classifying activities. The proposed framework is extremely efficient in terms of recognition performance and computational time as it can recognize both small and large set of activities very accurately with different number of features in different sensor settings, while it needs fairly small amount of time for training and classification. The evaluation results of the experiments conducted on four benchmark data sets indicate that the proposed technique performs better than the classic activity recognition systems with respect to recognition accuracy and computational time; the proposed approach yielded the maximum recognition rate of 99.6%.

43 citations

Journal ArticleDOI
Abstract: In this paper, we have presented the density functional theory (DFT) based calculations performed within the first-principles pseudopotential method to investigate the physical properties of the newly discovered superconductor LaRu2As2 for the first time. The optimized structural parameters are in good agreement with the experimental results. The calculated independent elastic constants ensure mechanical stability of the compound. The calculated Cauchy pressure, Pugh's ratio as well as Poisson's ratio indicate that LaRu2As2 should behave as a ductile material. Due to low Debye temperature, LaRu2As2 may be used as a thermal barrier coating (TBC) material. The new compound should exhibit metallic nature as its valence bands overlap considerably with the conduction bands. LaRu2As2 is expected to be a soft material and easily machineable because of its low hardness value of 6.8 Gpa. The multi-band nature is observed in calculated Fermi surface. A highly anisotropic combination of ionic, covalent, and metallic interactions is expected in accordance with charge density calculations.

43 citations

Journal ArticleDOI
TL;DR: In this paper, the impact of SARS-CoV-2 delta variant amid coronavirus disease 2019 (COVID-19) ongoing pandemic was investigated. But the results of the study were limited.
Abstract: We are sharing the results of our study which retrospectively looked at the impact of SARS-CoV-2 delta variant amid coronavirus disease 2019 (COVID-19) ongoing pandemic.Severe acute respiratory syn...

43 citations


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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20236
20228
2021154
2020153
2019156
2018122