Institution
Chittagong University of Engineering & Technology
Education•Chittagong, Bangladesh•
About: Chittagong University of Engineering & Technology is a education organization based out in Chittagong, Bangladesh. It is known for research contribution in the topics: Computer science & Renewable energy. The organization has 1200 authors who have published 1444 publications receiving 10418 citations. The organization is also known as: Engineering College, Chittagong & Bangladesh Institute of Technology, Chittagong.
Topics: Computer science, Renewable energy, Dielectric, Population, Solar cell
Papers published on a yearly basis
Papers
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01 May 2021TL;DR: In this paper, a comprehensive overview from the perspective of these neural networks and deep learning techniques according to today's diverse needs is presented, and the applicability of these techniques in various cybersecurity tasks such as intrusion detection, identification of malware or botnets, phishing, predicting cyberattacks, e.g. denial of service, fraud detection or cyberanomalies, etc.
Abstract: Deep learning, which is originated from an artificial neural network (ANN), is one of the major technologies of today’s smart cybersecurity systems or policies to function in an intelligent manner. Popular deep learning techniques, such as multi-layer perceptron, convolutional neural network, recurrent neural network or long short-term memory, self-organizing map, auto-encoder, restricted Boltzmann machine, deep belief networks, generative adversarial network, deep transfer learning, as well as deep reinforcement learning, or their ensembles and hybrid approaches can be used to intelligently tackle the diverse cybersecurity issues. In this paper, we aim to present a comprehensive overview from the perspective of these neural networks and deep learning techniques according to today’s diverse needs. We also discuss the applicability of these techniques in various cybersecurity tasks such as intrusion detection, identification of malware or botnets, phishing, predicting cyberattacks, e.g. denial of service, fraud detection or cyberanomalies, etc. Finally, we highlight several research issues and future directions within the scope of our study in the field. Overall, the ultimate goal of this paper is to serve as a reference point and guidelines for the academia and professionals in the cyber industries, especially from the deep learning point of view.
54 citations
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TL;DR: In this paper, the structural, elastic, and electronic properties of newly synthesized Zr2(Al0.58Bi0.42)C and Zr 2(Al 0.3Sb0.7)C MAX nanolaminates were studied using first-principles density functional theory (DFT) calculations for the first time.
53 citations
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TL;DR: In this paper, the physical properties of M2InC (M = Zr, Hf and Ta) MAX phases ternary carbides using density functional theory (DFT) methodology are revisited.
Abstract: We have studied the physical properties of M2InC (M = Zr, Hf and Ta) MAX phases ternary carbides using density functional theory (DFT) methodology. The structural, elastic and electronic properties are revisited (and found to be in good agreement with recently reported results). The charge density distribution, Fermi surface features, Vickers hardness, dynamical stability, thermodynamics and optical properties have been investigated for the first time. The calculated single crystal elastic constants and phonon dispersion curves endorse the mechanical and dynamical stability of all the compounds under study. The calculated single crystal elastic constants Cij and polycrystalline elastic constants are found to increase with increasing atomic number of M species (M = Zr, Hf and Ta). The values of Pugh ratio and Poisson’s ratio revealed the brittleness of the compounds under study associated with strong directional covalent bond with a mixture of ionic contribution. Overlapping of conduction band and valence band at Fermi level notify the metallic nature of M2InC (M = Zr, Hf and Ta) MAX phases. Low values of Vicker hardness indicate the softness of the materials and easy machinability. The thermodynamic properties, such as the free energy, enthalpy, entropy, specific heat capacity and Debye temperature are evaluated using the phonon dispersion curves and a good correspondence is found with the characteristics of M atomic species. Major optical properties, e.g., dielectric functions, refractive index, photoconductivity, absorption coefficient, loss function and reflectivity are calculated and discussed in detail in this study.
52 citations
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TL;DR: In this paper, the authors used cellular automata and ANN to estimate future land use/land cover (LULC) and seasonal (summer and winter) LST scenarios in one of the fastest-growing megacities and the business capital of Bangladesh, named as Chattogram.
51 citations
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TL;DR: In this paper, the effects of transition metals on structural, electronic, elastic, optical and thermodynamic properties of M2BC (M = V, Nb, Mo and Ta) have been investigated using the density functional theory (DFT) based first-principles method.
50 citations
Authors
Showing all 1219 results
Name | H-index | Papers | Citations |
---|---|---|---|
Mohammad Rashed Iqbal Faruque | 29 | 288 | 2969 |
Ashraf Uz Zaman | 28 | 147 | 2704 |
Nusrat Jahan | 26 | 173 | 2127 |
M.M.K. Bhuiya | 22 | 45 | 1925 |
Iqbal H. Sarker | 20 | 100 | 1100 |
M. A. Ali | 20 | 87 | 1155 |
Scott Arthur | 19 | 106 | 1963 |
Mohammed Nazrul Islam | 17 | 124 | 905 |
M. G. Hafez | 16 | 60 | 735 |
Mohammad Mahbubur Rahman | 16 | 44 | 779 |
Khizir Mahmud | 15 | 54 | 851 |
Mohammad Alamgir Hossain | 15 | 62 | 638 |
J. U. Ahamed | 15 | 47 | 1151 |
Md. Mukter Hossain | 14 | 46 | 593 |
Kaushik Deb | 14 | 97 | 833 |