An Analytical Model of Many-Core System Using N-Conjugate Shuffle Cluster (NCSC)

Mahmoud Obaid,Allam Abumwais,Suhail Odeh,Mahmoud Aldababsa,Rami Hodrob

#Many-core #interconnection network #n-conjugate shuffle #content addressable memory #scalability #reliability

Enhancing Software Development Efficiency Through User Stories Reuse from Application Descriptions

Indra Kharisma Raharjana,Avril Hermawan,Badrus Zaman,Shukor Sanim Mohd Fauzi

#Application description #requirements reuse #requirements elicitation #process innovation #user story

An Analytical Model of Many-Core System Using N-Conjugate Shuffle Cluster (NCSC)

Mahmoud Obaid,Allam Abumwais,Suhail Odeh,Mahmoud Aldababsa,Rami Hodrob

#Many-core #interconnection network #n-conjugate shuffle #content addressable memory #scalability #reliability

Enhancing Software Development Efficiency

Through User Stories Reuse from Application, Avril Hermawan, Badrus Zaman, Shukor Sanim Mohd Fauzi

#Application description # requirements reuse # requirements elicitation # process innovation # user story

Enhancing Smart Farming with IoT Sensors Using FRPGW and HALSTM for Accurate Predictions

Fathima ShreneShifna,Baalaji Kadarkarai

#IoT smart farming #agriculture #FRPGW #HALSTM #ANN #LSTM

A Novel Risk-Based Testing Framework for Distributed Agile Software Development

Esha Khanna,Rashmi Popli,Naresh Chauhan

#Test case prioritization #risk-based testing #distributed agile software development

Enhancing Smart Farming with IoT Sensors Using FRPGW and HALSTM for Accurate Predictions

Fathima ShreneShifna,Baalaji Kadarkarai

#IoT smart farming #agriculture #FRPGW #HALSTM #ANN #LSTM

A Novel Risk-Based Testing Framework for Distributed Agile Software Development

Esha Khanna,Rashmi Popli,Naresh Chauhan

#Test case prioritization #risk-based testing #distributed agile software development

Adaptive Red Panda Optimization for Feature Extraction in Diabetic Retinopathy Detection Using Deep Learning

Mahesh Ramakrishnappa,Rohith Shivashankar

#Diabetes #diabetic retinopathy detection #convolutional neural network #U-net #red panda optimization

Adaptive Red Panda Optimization for Feature Extraction in Diabetic Retinopathy Detection Using Deep Learning

Mahesh Ramakrishnappa,Rohith Shivashankar

#Diabetes #diabetic retinopathy detection #convolutional neural network #U-net #red panda optimization

Feature Selection Method Based on Consecutive Forward Selection and Backward Elimination Concepts Using a Weighted Vector

Luai Al-Shalabi

#Feature selection #forward-backward #chi-square #classification

A Hybrid Image Compression Scheme using DCT and Fractal Image Compression

Chandan Singh Rawat,Sukadev Meher

#Image compression #DCT #fractal image compression #quantization #zig%zag scanning #huffman coding

Evaluating the Performance of Reverse Encryption Algorithm (REA) on the Databases

Ayman Mousa,Osama Faragallah,Elsayed Rabaie,Elsayed Nigm

#Database security #cryptographic algorithms #datab ase encryption #Elsayed Rabaie #Elsayed Nigm

A Two-Stage Method of Cervical Cancer Detection using Hybrid Classification Methods

Orasa Patsadu,Srisuda Soranunsri,Chananate Arthayukti

#Cervical cancer #hybrid classification methods #two stage classification #machine learning #healthcare

GNN-DQL-Based Chronic Kidney Disease Classification Using GFR in the Internet of Medical Things Environment

Bhavani Tatiparti,Vydeki Dharmar

#Deep learning #neural network #Q-learning #glomerular filtration rate #mayfly optimization #optimal features #parameter optimization #AMO

A Two-Stage Method of Cervical Cancer Detection using Hybrid Classification Methods

Orasa Patsadu,Srisuda Soranunsri,Chananate Arthayukti

#Cervical cancer #hybrid classification methods #two stage classification #machine learning #healthcare

GNN-DQL-Based Chronic Kidney Disease Classification Using GFR in the Internet of Medical Things Environment

Bhavani Tatiparti,Vydeki Dharmar

#Deep learning #neural network #Q-learning #glomerular filtration rate #mayfly optimization #optimal features #parameter optimization #AMO

FPGA based Flexible Implementation of Light Weight Inference on Deep Convolutional Neural Networks

Shefa Dawwd

#Standard convolution #depthwise separable convolution #inference #deep convolutional neural networks #FPGA

Inventory Optimization Using Data Science Technologies for Supply Chain 4.0

Emna Bouazizi,Ayman Khedr,Sherin Elfaioumy,Mohamed Belal

#Supply chain 4.0 #inventory management #regression algorithm #optimization

Using Deep Learning for Profitable Concrete Forecasting Methods

Ayat Al-Hinawi,Radwan Alelaimat

#Concrete performance prediction #machine learning #deep learning #construction management #regression