Concurrency and Computation: Practice and Experience – Page 111 – School of Computer and Information Sciences

Concurrency and Computation: Practice and Experience

An improved weighted principal component analysis integrated with TOPSIS approach for global financial development ranking problem of Middle East countries

Concurrency and Computation: Practice and Experience, EarlyView.

By nAhmad Heydari, nSadegh Niroomand, nHarish Gargn, 3 years ago

Concurrency and Computation: Practice and Experience

Development of argument based opinion mining model with sentimental data analysis from twitter content

Concurrency and Computation: Practice and Experience, EarlyView.

By nS. S. Arumugamn, 3 years ago

Concurrency and Computation: Practice and Experience

Analysis of automated guided vehicle use in health care by simulation: A case study in a university hospital

Concurrency and Computation: Practice and Experience, EarlyView.

By nAlparslan Serhat Demir, nEbru Mumcun, 3 years ago

Concurrency and Computation: Practice and Experience

Toward fast theta‐join: A prefiltering and amalgamated partitioning approach

Concurrency and Computation: Practice and Experience, EarlyView.

By nJiashu Wu, nYang Wang, nXiaopeng Fan, nKejiang Ye, nChengzhong Xun, 3 years ago

Concurrency and Computation: Practice and Experience

Scalable multi‐node multi‐GPU Louvain community detection algorithm for heterogeneous architectures

Concurrency and Computation: Practice and Experience, EarlyView.

By nAnwesha Bhowmick, nSathish Vadhiyar, nVarun PVn, 3 years ago

Concurrency and Computation: Practice and Experience

Prediction of geoid undulations: Random forest versus classic interpolation techniques

Concurrency and Computation: Practice and Experience, EarlyView.

By nAlper Akar, nBerkant Konakoğlu, nÖzlem Akarn, 3 years ago

Concurrency and Computation: Practice and Experience

A bartering double auction resource allocation model in cloud environments

Concurrency and Computation: Practice and Experience, EarlyView.

By , 3 years ago

Concurrency and Computation: Practice and Experience

Combining the advantages of AlexNet convolutional deep neural network optimized with anopheles search algorithm based feature extraction and random forest classifier for COVID‐19 classification

Concurrency and Computation: Practice and Experience, EarlyView.

By nSumaiya Begum Akbar, nKalaiselvi Thanupillai, nSuganthi Sundararajn, 3 years ago

Concurrency and Computation: Practice and Experience

A Wrapper based feature extraction framework based on AlexNet deep convolutional neural network parameters optimized using gradient‐based optimizer for mammogram images

Concurrency and Computation: Practice and Experience, EarlyView.

By nN. K. Sakthivel, nS. Subasree, nShaveta Malik, nAmit Kumar Tyagin, 3 years ago

Concurrency and Computation: Practice and Experience

On the performance of link functions in the beta ridge regression model: Simulation and application

Concurrency and Computation: Practice and Experience, EarlyView.

By nSidra Mustafa, nMuhammad Amin, nMuhammad Nauman Akram, nNimra Afzaln, 3 years ago