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Field: Computational science

Computation of Three-Dimensional Flow Field Created by Weir-Type Structures

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A.B.M. Faruquzzaman Bhuiyan, Richard D. Hey

Journal: Engineering Applications of Computational Fluid Mechanics 2007
Year:
Citations: 15

AbstractWeirs are constructed to control flow and to modify instream flow characteristics for river restoration. A clear understanding of their effects on flow by different layouts of the structure is necessary to guide their design for attaining desired results. Numerical modeling and laboratory ex...

Physical SciencesEnvironmental ScienceEcologyOpen Access
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Numerical Benchmark Studies on Flow and Solute Transport in Geological Reservoirs

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Shyamal Karmakar, Alexandru Tatomir, Sandra Oehlmann, Markus Giese et al.

Journal: WaterYear: 2022Citations: 14

Predicting and characterising groundwater flow and solute transport in engineering and hydrogeological applications, such as dimensioning tracer experiments, rely primarily on numerical modelling techniques. During software selection for numerical modelling, the accuracy of the results, financial co...

Physical SciencesEnvironmental ScienceEnvironmental EngineeringOpen Access
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A Novel Dimension Reduction Technique for the Capacitance Extraction of 3D VLSI Interconnects

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Wei Hong, Weikai Sun, Zhenhai Zhu, Hao Ji et al.

Year: 2007Citations: 14

In this paper, we present a new capacitance extraction method named Dimension Reduction Technique (DRT) for 3D VLSI interconnects. The DRT converts a complex 3D problem into a series of cascading simple 2D problems. Each 2D problem is solved separately, so we can choose the most efficient method acc...

Physical SciencesPhysics and AstronomyAtomic and Molecular Physics, and Optics
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Exploring A3-xBxAlH6 (A/B Li, Na, K; x = 0, 1, 2) complex hydrides for efficient hydrogen storage: A systematic computational approach

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Asif Hosen, Md. Rafiqul Islam

Journal: International Journal of Hydrogen EnergyYear: 2025Citations: 12
Physical SciencesMaterials ScienceMaterials Chemistry
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kataegis: an R package for identification and visualization of the genomic localized hypermutation regions using high-throughput sequencing

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Xue Lin, Yingying Hua, Shuanglin Gu, Li Lv et al.

Journal: BMC GenomicsYear: 2021Citations: 12

BACKGROUND: Genomic localized hypermutation regions were found in cancers, which were reported to be related to the prognosis of cancers. This genomic localized hypermutation is quite different from the usual somatic mutations in the frequency of occurrence and genomic density. It is like a mutation...

Life SciencesBiochemistry, Genetics and Molecular BiologyMolecular BiologyOpen Access
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Optimization of protein folding using chemical reaction optimization in HP cubic lattice model

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Md. Rafiqul Islam, Resheta Ahmed Smrity, Sajib Chatterjee, Md. Riaz Mahmud

Journal: Neural Computing and ApplicationsYear: 2019Citations: 12
Life SciencesBiochemistry, Genetics and Molecular BiologyMolecular Biology
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A fast parallel matrix inversion algorithm based on heterogeneous multicore architectures

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Denggao Yu, Shiwen He, Yongming Huang, Guangshi Yu et al.

Year: 2015Citations: 12

Large matrix inversion is usually a basic step in a wide range of signal processing or numerical problems, such as digital filtering, equalization detection, and etc. It is essential to figure out an algorithm to invert large matrix quickly and accurately. On the other hand, the Graphics Processor U...

Physical SciencesEngineeringElectrical and Electronic Engineering
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Nonorthogonal LOD-FDTD Method for EM Scattering from Two-Dimensional Structures

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Md. Masud Rana, Ananda Sanagavarapu Mohan

Journal: IEEE Transactions on Electromagnetic CompatibilityYear: 2012Citations: 12

In this paper, a nonorthogonal locally 1-D finite difference time-domain (LOD-NFDTD) method is presented for electromagnetic (EM) scattering involving curvilinear coordinate system. Formulations of scattered field and convolutional perfectly matched layer absorbing boundary condition in generalized ...

Physical SciencesEngineeringElectrical and Electronic Engineering
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Nanowires: Exponential speedup in quantum computing

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Mariam Akter Mimona, Md Hosne Mobarak, Emtiuz Ahmed, Farzana Kamal et al.

Journal: HeliyonYear: 2024Citations: 10

This review paper examines the crucial role of nanowires in the field of quantum computing, highlighting their importance as versatile platforms for qubits and vital building blocks for creating fault-tolerant and scalable quantum information processing systems. Researchers are studying many categor...

Physical SciencesPhysics and AstronomyAtomic and Molecular Physics, and OpticsOpen Access
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Graphics process unit accelerated lattice Boltzmann simulation of indoor air flow: Effects of sub-grid scale model in large-eddy simulation

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Md Jahidul Haque, Md. Mamun Molla, Amirul Khan, K. M. Nazmul Ahsan

Journal: Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering ScienceYear: 2020Citations: 9

In this present study, three-dimensional lattice Boltzmann method is implemented with the popular turbulence modeling method large-eddy simulation incorporating three different non-dynamic sub-grid scale models Smagorinsky, Vreman, and wall-adapting local eddy-viscosity for finding the inhomogeneous...

Physical SciencesEngineeringComputational Mechanics
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Hardware Software Co-Simulation of Canny Edge Detection Algorithm

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Kazi AhmedAsifFuad, Shahriyar Masud Rizvi

Journal: International Journal of Computer ApplicationsYear: 2015Citations: 9

Edge detection is a method to detect presence of an object's image-typically this is identified by sharp changes in pixel density. We realized Canny Edge Detection Algorithm, the most optimal edge detector, in FPGA hardware utilizing Hardware-Software Co-Simulation with the help of Simulink (Mathwor...

Physical SciencesComputer ScienceComputer Vision and Pattern RecognitionOpen Access
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How to accelerate the inorganic materials synthesis: from computational guidelines to data-driven method?

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Yilei Wu, Xiangyang Li, Rong Guo, Rui Xu et al.

Journal: National Science ReviewYear: 2025Citations: 7

The development of novel functional materials has attracted widespread attention to meet the constantly growing demand for addressing the major global challenges facing humanity, among which experimental synthesis emerges as one of the crucial challenges. Understanding the synthesis processes and pr...

Physical SciencesMaterials ScienceMaterials ChemistryOpen Access
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ACD-ML: Advanced CKD detection using machine learning: A tri-phase ensemble and multi-layered stacking and blending approach

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Mir Faiyaz Hossain, Shajreen Tabassum Diya, Riasat Khan

Journal: Computer Methods and Programs in Biomedicine UpdateYear: 2025Citations: 7

Chronic Kidney Disease (CKD), the gradual loss and irreversible damage of the kidney’s functionality, is one of the leading contributors to death and causes about 1.3 million people to die annually. It is extremely important to slow down the progression of kidney deterioration to prevent kidney dial...

Health SciencesHealth ProfessionsHealth Information ManagementOpen Access
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Exploring the influence of morphology on magnetized Ree–Eyring tri‐hybrid nanofluid flow between orthogonally moving coaxial disks using artificial neural networks with Levenberg–Marquardt scheme

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Abdul Rauf, Hafiza Khadija Khan, Nehad Ali Shah

Journal: ZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und MechanikYear: 2024Citations: 7

Abstract The present study presents an analysis of Ree–Eyring tri‐hybrid nanofluid flow between two expanding/contracting disks with permeable walls by applying the computing power of Levenberg–Marquardt supervised neural networks (LM‐SNNs). The effects of thermal radiation, Brownian motion, and the...

Physical SciencesEngineeringBiomedical Engineering
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GPU Accelerated Tensor Computation of Hadamard Product for Machine Learning Applications

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K. M. Azharul Hasan, Sagar Chakraborty

Year: 2021Citations: 7

The computation on Graphics Processing Unit (GPU) has come out as a new cost-effective parallel computing paradigm for high performance computing that makes possible to process large scale data in parallel. GPU is designed to perform complex mathematical and geometric tasks which are primarily used ...

Physical SciencesMathematicsComputational Mathematics
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