Artificial Intelligence Evolution, Volume 2 Issue 2 (2021), 23-146 < Previous vol / issue Next vol/issue >
This issue is in progress but contains articles that are final and fully citable.
A Novel Approach to Detect Abnormal Chest X-rays of COVID-19 Patients Using Image Processing and Deep Learning
by Chattopadhyay Subhagata
Abstract: The study proposes a novel approach to automate classifying Chest X-ray (CXR) images of COVID-19 positive patients. All acquired images have been pre-processed with Simple Median Filter (SMF) and Gaus...
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Bank Deposit Prediction Using Ensemble Learning
by Patwary Muhammed J. A., Akter S.,Bin Alam M. S.,Rezaul Karim A. N. M.
Abstract: Bank deposit is one of the vital issues for any financial institution. It is very challenging to predict a customer if he/she can be a depositor by analyzing related information. Some recent reports d...
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Data Analysis on the Influencing Factors of the Real Estate Price
by He Huang-Mei,Chen Yi,Xiao Jia-Ying,Chen Xue-Qing,Lee Zne-Jung
Abstract: China has carried out a large number of real estate market reforms that change the real estate market demand considerably. At the same time, the real estate price has soared in some cities and has sur...
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KMeans-NM-SalpEpi: Genetic Interactions Detection through K-Means Clustering with Nelder-Mead and Salp Optimization Techniques in Genome-Wide Association Studies
by Priya S.,Manavalan R.
Abstract: Complex diseases identification through Gene-Gene Interactions (GGIs) plays a significant challenge in Genome-Wide Association Studies (GWAS). A typical indicator of genetic variations in many human d...
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Towards Grading Chest X-rays of COVID-19 Patients Using a Dynamic Radial Basis Function Network Classifier
by Chattopadhyay Subhagata
Abstract: The high volume of COVID-19 Chest X-rays and less number of radiologists to interpret those is a challenge for the highly populous developing nations. Moreover, correct grading of the COVID-19 stage b...
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Automatic Epileptic Seizure Detection Based on EEG Signals Using Deep Learning
by Karimi Moridani Mohammad, Jabbari Behnam Seyed Sina,Heydar Mahdyar
Abstract: About one percent of the world's population suffers from epilepsy. A patient with epilepsy must be diagnosed early and accurately if they are to have any chance of being treated successfully. One meth...
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Uniform Parallel Machines Scheduling with Setup Time, Learning Effect, Machine Idle Time, and Processing Set Restrictions to Minimize Earliness/Tardiness Costs
by Rezaeian Javad ,Shokoufi Keyvan,Foroutan Reza Alizadeh
Abstract: Inspired by a real industrial case, this study deals with the problem of scheduling jobs on uniform parallel machines with past-sequence-dependent setup times to minimize the total earliness and tardi...
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Optimal Combination of Multivariate Filter Feature Selection and Classifier for Speech-Based Depression Detection
by Sharma Surbhi,Bustamante Anthony J.
Abstract: In this paper, we have focused to improve the performance of a speech-based uni-modal depression detection system, which is non-invasive, involves low cost and computation time in comparison to multi-...
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