Search Results - "distributed and parallel computing"

ClustalW-MPI: ClustalW analysis using distributed and parallel computing by Li, Kuo-Bin

“…ClustalW is a tool for aligning multiple protein or nucleotide sequences. The alignment is achieved via three steps: pairwise alignment, guide-tree generation…”
Get full text

Enhancing Agricultural Operations: Big Data Analytics Using Distributed and Parallel Computing by Fatima, Syeda Alishba, Syeda Faiza Nasim, Saad Ahmed

“…This comprehensive research investigates using distributed and parallel computing for big data analytics in agriculture to improve farming operations' sustainability, efficiency, and innovation…”
Get full text

HAlign-II: efficient ultra-large multiple sequence alignment and phylogenetic tree reconstruction with distributed and parallel computing by Wan, Shixiang, Zou, Quan

“… Methods Distributed and parallel computing represents a crucial technique for accelerating ultra-large (e.g…”
Get full text

AGENT-BASED SIMHEURISTICS: EXTENDING SIMULATION-OPTIMIZATION ALGORITHMS VIA DISTRIBUTED AND PARALLEL COMPUTING by Panadero, Javier, Juan, Angel A., Mozos, Jose M., Corlu, Canan Gunes, Onggo, Bhakti Stephan

“…This paper presents a novel agent-based simheuristic (ABSH) approach that combines simheuristic and multi-agent system to efficiently solve stochastic…”
Get full text

Mining of Association Rules on Large Database Using Distributed and Parallel Computing by Vasoya, Anil, Koli, Nitin

“… Hence hybrid architecture is proposed which consists of integrated distributed and parallel computing concept…”
Get full text

A survey of data partitioning and sampling methods to support big data analysis by Mahmud, Mohammad Sultan, Huang, Joshua Zhexue, Salloum, Salman, Emara, Tamer Z., Sadatdiynov, Kuanishbay

“…Computer clusters with the shared-nothing architecture are the major computing platforms for big data processing and analysis. In cluster computing, data…”
Get full text

Distributed parallel deep learning with a hybrid backpropagation-particle swarm optimization for community detection in large complex networks by Nasser Al-Andoli, Mohammed, Chiang Tan, Shing, Ping Cheah, Wooi

“…In this paper, a parallel deep learning-based community detection method in large complex networks (CNs) is proposed. First, a CN partitioning method is…”
Get full text

Parallel and scalable Dunn Index for the validation of big data clusters by Ben Ncir, Chiheb-Eddine, Hamza, Abdallah, Bouaguel, Waad

“…Parallelizing data clustering algorithms has attracted the interest of many researchers over the past few years. Many efficient parallel algorithms were…”
Get full text

Big data analytics on Apache Spark by Salloum, Salman, Dautov, Ruslan, Chen, Xiaojun, Peng, Patrick Xiaogang, Huang, Joshua Zhexue

“…Apache Spark has emerged as the de facto framework for big data analytics with its advanced in-memory programming model and upper-level libraries for scalable…”
Get full text

Blockchain and smart contract for IoT enabled smart agriculture by Pranto, Tahmid Hasan, Noman, Abdulla All, Mahmud, Atik, Haque, AKM Bahalul

“…The agricultural sector is still lagging behind from all other sectors in terms of using the newest technologies. For production, the latest machines are being…”
Get full text

On the Design of a Blockchain Platform for Clinical Trial and Precision Medicine by Zonyin Shae, Tsai, Jeffrey J. P.

“…: (a) a new blockchain based general distributed and parallel computing paradigm component to devise and study parallel computing methodology for big data analytics, (b…”
Get full text

Delay-Optimal Distributed Computation Offloading in Wireless Edge Networks by Gong, Xiaowen, Chen, Mingyu, Li, Dongsheng, Cao, Yang

“…In this paper, we explore distributed edge computation offloading (DECO) that offloads computation to distributed edge devices connected wirelessly, which…”
Get full text

Deep learning model for deep fake face recognition and detection by ST, Suganthi, Ayoobkhan, Mohamed Uvaze Ahamed, V, Krishna Kumar, Bacanin, Nebojsa, K, Venkatachalam, Štěpán, Hubálovský, Pavel, Trojovský

“…Deep Learning is an effective technique and used in various fields of natural language processing, computer vision, image processing and machine vision. Deep…”
Get full text

GPUTreeShap: massively parallel exact calculation of SHAP scores for tree ensembles by Mitchell, Rory, Frank, Eibe, Holmes, Geoffrey

“…SHapley Additive exPlanation (SHAP) values (Lundberg & Lee, 2017) provide a game theoretic interpretation of the predictions of machine learning models based…”
Get full text

ROBUSTNESS EVALUATION OF MACHINE LEARNING ALGORITHMS FOR NEUROCOMPUTER INTERFACE SOFTWARE USING DISTRIBUTED AND PARALLEL COMPUTING by BRYK, Oleksandr, STEFANYSHYN, Ivan, STEFANYSHYN, Volodymyr, PASTUKH, Oleh

“…This article highlights the field of information technology for brain-computer interaction, and the main goal is to use it to determine patterns of human brain…”
Get full text

Blockchain technology in the pharmaceutical industry: a systematic review by Zakari, Nazik, Al-Razgan, Muna, Alsaadi, Amani, Alshareef, Haya, Al saigh, Heba, Alashaikh, Lamia, Alharbi, Mala, Alomar, Rana, Alotaibi, Seham

“…Blockchain technology is accelerating digital transformation across multiple industries, including the pharmaceutical industry. The pharmaceutical industry…”
Get full text

Large-Scale Subspace Clustering by Independent Distributed and Parallel Coding by Li, Jun, Tao, Zhiqiang, Wu, Yue, Zhong, Bineng, Fu, Yun

“…Subspace clustering is a popular method to discover underlying low-dimensional structures of high-dimensional multimedia data (e.g., images, videos, and…”
Get full text

An Automatic History Matching Module with Distributed and Parallel Computing by Liang, B., Sepehrnoori, K., Delshad, M.

“…The data assimilation process of adjusting variables in a reservoir simulation model to honor observations of field data is known as history matching and has…”
Get full text

Secure biometric authentication with de-duplication on distributed cloud storage by M, Vinoth Kumar, Venkatachalam, K, P, Prabu, Almutairi, Abdulwahab, Abouhawwash, Mohamed

“…Cloud computing is one of the evolving fields of technology, which allows storage, access of data, programs, and their execution over the internet with…”
Get full text

Distributed load balancing frequent colossal closed itemset mining algorithm for high dimensional dataset by Vanahalli, Manjunath K, Patil, Nagamma

“…The focus of extracting colossal closed itemsets from high dimensional biological datasets has been great in recent times. A massive set of short and average…”
Get full text