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01/16/2023
Optimization Algorithms in Smart Grids: A Systematic Literature Review
Electrical smart grids are units that supply electricity from power plan...
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09/29/2022
What UAE Software Students Think about Software Testing: A Replicated Study
Software testing is vital to improve software quality. However, software...
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05/10/2022
On the Value of Project Productivity for Early Effort Estimation
In general, estimating software effort using a Use Case Point (UCP) size...
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05/06/2022
Arabic Fake News Detection Based on Deep Contextualized Embedding Models
Social media is becoming a source of news for many people due to its eas...
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04/23/2022
Transformation Invariant Cancerous Tissue Classification Using Spatially Transformed DenseNet
In this work, we introduce a spatially transformed DenseNet architecture...
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03/08/2022
Breast cancer detection using artificial intelligence techniques: A systematic literature review
Cancer is one of the most dangerous diseases to humans, and yet no perma...
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01/09/2022
Emotional Speaker Identification using a Novel Capsule Nets Model
Speaker recognition systems are widely used in various applications to i...
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12/29/2021
Artificial Intelligence and Statistical Techniques in Short-Term Load Forecasting: A Review
Electrical utilities depend on short-term demand forecasting to proactiv...
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12/26/2021
Novel Hybrid DNN Approaches for Speaker Verification in Emotional and Stressful Talking Environments
In this work, we conducted an empirical comparative study of the perform...
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12/26/2021
Novel Dual-Channel Long Short-Term Memory Compressed Capsule Networks for Emotion Recognition
Recent analysis on speech emotion recognition has made considerable adva...
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12/15/2021
COVID-19 Electrocardiograms Classification using CNN Models
With the periodic rise and fall of COVID-19 and numerous countries being...
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12/15/2021
The exploitation of Multiple Feature Extraction Techniques for Speaker Identification in Emotional States under Disguised Voices
Due to improvements in artificial intelligence, speaker identification (...
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12/01/2021
Empirical evaluation of shallow and deep learning classifiers for Arabic sentiment analysis
This work presents a detailed comparison of the performance of deep lear...
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11/27/2021
The empirical study of e-learning post-acceptance after the spread of COVID-19: A multi-analytical approach based hybrid SEM-ANN
There are several reasons why the fear of vaccination has caused populat...
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11/12/2021
Reliability Models for Smartphone Applications
Smartphones have become the most used electronic devices. They carry out...
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02/11/2021
Empirical Analysis on Productivity Prediction and Locality for Use Case Points Method
Use Case Points (UCP) method has been around for over two decades. Altho...
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02/11/2021
CASA-Based Speaker Identification Using Cascaded GMM-CNN Classifier in Noisy and Emotional Talking Conditions
This work aims at intensifying text-independent speaker identification p...
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01/11/2021
Machine Learning Towards Intelligent Systems: Applications, Challenges, and Opportunities
The emergence and continued reliance on the Internet and related technol...
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12/13/2020
Predicting Software Effort from Use Case Points: A Systematic Review
Context: Predicting software project effort from Use Case Points (UCP) m...
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08/09/2020
Multi-Stage Optimized Machine Learning Framework for Network Intrusion Detection
Cyber-security garnered significant attention due to the increased depen...
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08/05/2020
Bayesian Optimization with Machine Learning Algorithms Towards Anomaly Detection
Network attacks have been very prevalent as their rate is growing tremen...
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06/09/2020
Multi-split Optimized Bagging Ensemble Model Selection for Multi-class Educational Data Mining
Predicting students' academic performance has been a research area of in...
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05/23/2020
Data Mining with Big Data in Intrusion Detection Systems: A Systematic Literature Review
Cloud computing has become a powerful and indispensable technology for c...
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05/13/2020
Systematic Ensemble Model Selection Approach for Educational Data Mining
A plethora of research has been done in the past focusing on predicting ...
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03/22/2020
Software Effort Estimation from Use Case Diagrams Using Nonlinear Regression Analysis
Software effort estimation in the early stages of the software life cycl...
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01/17/2020
EEG Wheelchair for People of Determination
The aim of this paper is to design and construct an electroencephalograp...
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10/06/2019
Can we rely on smartphone applications?
Smartphones are becoming necessary tools in the daily lives of mil-lions...
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09/29/2019
Speaker Verification in Emotional Talking Environments based on Third-Order Circular Suprasegmental Hidden Markov Model
Speaker verification accuracy in emotional talking environments is not h...
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09/28/2019
Emirati-Accented Speaker Identification in Stressful Talking Conditions
This research is dedicated to improving text-independent Emirati-accente...
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02/10/2019
Software Development Effort Estimation Using Regression Fuzzy Models
Software effort estimation plays a critical role in project management. ...
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12/16/2018
Ensemble of Learning Project Productivity in Software Effort Based on Use Case Points
It is well recognized that the project productivity is a key driver in e...
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12/15/2018
v-SVR Polynomial Kernel for Predicting the Defect Density in New Software Projects
An important product measure to determine the effectiveness of software ...
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10/11/2018
Novel Cascaded Gaussian Mixture Model-Deep Neural Network Classifier for Speaker Identification in Emotional Talking Environments
This research is an effort to present an effective approach to enhance t...
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09/03/2018
Three-Stage Speaker Verification Architecture in Emotional Talking Environments
Speaker verification performance in neutral talking environment is usual...
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03/31/2018
Emirati-Accented Speaker Identification in each of Neutral and Shouted Talking Environments
This work is devoted to capturing Emirati-accented speech database (Arab...
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12/04/2016
Enhancing Use Case Points Estimation Method Using Soft Computing Techniques
Software estimation is a crucial task in software engineering. Software ...
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11/29/2016
Pareto Efficient Multi Objective Optimization for Local Tuning of Analogy Based Estimation
Analogy Based Effort Estimation (ABE) is one of the prominent methods fo...
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12/01/2015
A Hybrid Intelligent Model for Software Cost Estimation
Accurate software development effort estimation is critical to the succe...
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08/28/2015