Rajib Kumar Halder, Mohammed Nasir Uddin, Md. Ashraf Uddin, Sunil Aryal et al.
Abstract The k-Nearest Neighbors (kNN) method, established in 1951, has since evolved into a pivotal tool in data mining, recommendation systems, and Internet of Things (IoT), among other areas. This paper presents a comprehensive review and performance analysis of modifications made to enhance the ...
Subrata Sarker, A. J. Saleh Ahammad, Hyun Woo Seo, Dong Min Kim
Electrochemical impedance spectroscopy (EIS) is one of the most important tools to elucidate the charge transfer and transport processes in various electrochemical systems including dye-sensitized solar cells (DSSCs). Even though there are many books and reports on EIS, it is often very difficult to...
Taehyun Rhee, John Lewis, Ulrich Neumann
Abstract WPSD (Weighted Pose Space Deformation) is an example based skinning method for articulated body animation. The per‐vertex computation required in WPSD can be parallelized in a SIMD (Single Instruction Multiple Data) manner and implemented on a GPU. While such vertex‐parallel computation is ...
Hamid Rajabalipanah, Ali Abdolali, Shahid Iqbal, Lei Zhang et al.
Abstract In the quest to realize analog signal processing using subwavelength metasurfaces, in this paper, we present the first demonstration of programmable time‐modulated metasurface processors based on the key properties of spatial Fourier transformation. Exploiting space‐time coding strategy ena...
Yan Xing, Miguel A. Gosálvez, K. Satō
An enhanced octree data representation is developed for use in atomistic simulations of the evolution of complex multivalued surfaces appearing during anisotropic etching of crystalline silicon in micro electro mechanical systems (MEMS) applications. The octree provides a good balance between accura...
Samir Kumar Jalal
Research collaboration between India and Bangladesh based on research output of 1156 papers jointly produced by bothcountries were retrieved from Web of Science for the period of 1991 to 2017.The collaboration network on co-authorshipand co-occurrences was build using BibliometrixR package. Top ten ...
Md. Mamun Molla, Md Jahidul Haque, Amirul Khan, Suvash C. Saha
A two-dimensional (2D) multiple-relaxation-time (MRT) lattice Boltzmann method (LBM) is used for porous media with the Brinkman-Forchheimer extended Darcy model to investigate the natural and mixed convection flows in a square cavity. This Brinkman-Forchheimer model is directly used through the forc...
Hafiz Md. Hasan Babu
Fan‐Xu Meng, Ze‐Tong Li, Xutao Yu, Zaichen Zhang
The advent of Noisy Intermediate-Scale Quantum (NISQ) devices provides crucial promise for the development of quantum algorithms. Variational quantum algorithms have emerged as one of the best hopes to utilize NISQ devices. Among these is the famous Variational Quantum Eigensolver (VQE), where one t...
Md Motiur Rahman, Tahmina Tasnim Nahar, Dookie Kim
This paper describes a newly developed tool, called FeView, which is a Python-based graphical user interface (GUI) for OpenSees solver. FeView offers an open-source and stand-alone windows system that is very easy and simple to use. It can support a wide range of element types (46 types) and all kin...
A. Benkrid, Danny Crookes, K. Benkrid
This paper presents an FPGA architecture for the separable 2-D Biorthogonal Discrete Wavelet Transform (DWT) decomposition. The architecture is based on the Pyramid Algorithm Analysis, which handles computation along the border efficiently by using the method of symmetric extension. For a J stage wa...
Md. Golam Rashed, Raquib Ahsan
This paper focuses on the role of python in dramatic increase in productivity and high-level of code reuse in computational science. The salient features of python make it an ideal language for scientific computing exposing the shortcomings of legacy languages and prototyping platforms. Python provi...
Mohammad Nazmul Haque, Mohammad Shorif Uddin
In a number of imaging modalities, the Fast Fourier Transform (FFT) is being used for the processing of images in its frequency domain rather than spatial domain. It is an important t image processing tool which is used to decompose an image into its sine and cosine components. The output of the tra...
Md Farhad Hasan, Md. Mamun Molla, Sadia Siddiqa, Amirul Khan
Huizheng Wang, Zaichen Zhang, Xiaohu You, Chuan Zhang
Deep convolution neural networks (CNNs) usually require a large number of iterative convolution operations, which would consume significant amounts of hardware resources. In this paper, we propose an efficient convolution architecture based on Winograd algorithm for convolutional neural networks (CN...