Alaa F. Sheta

Orcid: 0000-0002-3727-6276

Affiliations:
  • Southern Connecticut State University, Computer Science Department, New Haven, CT, USA
  • Texas A&M University - Corpus Christi, Department of Computing Science, TX, USA


According to our database1, Alaa F. Sheta authored at least 61 papers between 1999 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Enhanced variants of crow search algorithm boosted with cooperative based island model for global optimization.
Expert Syst. Appl., March, 2024

Feature Selection based nature inspired Capuchin Search Algorithm for solving classification problems.
Expert Syst. Appl., January, 2024

Heart Disease Diagnosis Using Decision Trees with Feature Selection Method.
Int. Arab J. Inf. Technol., 2024

2023
Improved versions of crow search algorithm for solving global numerical optimization problems.
Appl. Intell., November, 2023

Enhanced cuckoo search algorithm for industrial winding process modeling.
J. Intell. Manuf., April, 2023

Memory based hybrid crow search algorithm for solving numerical and constrained global optimization problems.
Artif. Intell. Rev., 2023

2022
An Enhanced Evolutionary Based Feature Selection Approach Using Grey Wolf Optimizer for the Classification of High-dimensional Biological Data.
J. Univers. Comput. Sci., 2022

2021
A novel lifetime scheme for enhancing the convergence performance of salp swarm algorithm.
Soft Comput., 2021

A novel meta-heuristic search algorithm for solving optimization problems: capuchin search algorithm.
Neural Comput. Appl., 2021

ECT-LSTM-RNN: An Electrical Capacitance Tomography Model-Based Long Short-Term Memory Recurrent Neural Networks for Conductive Materials.
IEEE Access, 2021

2020
A Deep Learning Approach to Urban Street Functionality Prediction Based on Centrality Measures and Stacked Denoising Autoencoder.
ISPRS Int. J. Geo Inf., 2020

An integrated ambient intelligence system for a Smart Lab environment.
Int. J. Comput. Sci. Eng., 2020

SAS Mobile Application for Diagnosis of Obstructive Sleep Apnea Utilizing Machine Learning Models.
Proceedings of the 11th IEEE Annual Ubiquitous Computing, 2020

Pavement Crack Detection Using Convolutional Neural Network.
Proceedings of 35th International Conference on Computers and Their Applications, 2020

2019
Application of Electrical Capacitance Tomography for Imaging Conductive Materials in Industrial Processes.
J. Sensors, 2019

Collision-Free Autonomous Robot Navigation in Unknown Environments Utilizing PSO for Path Planning.
J. Artif. Intell. Soft Comput. Res., 2019

Robotics Evolution: from Remote Brain to Cloud.
CoRR, 2019

Evolving neural networks using bird swarm algorithm for data classification and regression applications.
Clust. Comput., 2019

Deep Learning Based Plant Disease Detection for Smart Agriculture.
Proceedings of the 2019 IEEE Globecom Workshops, Waikoloa, HI, USA, December 9-13, 2019, 2019

Development of a Sleep Monitoring System by Using a Depth Sensor: A Pilot Study.
Proceedings of the Advances in Human Factors and Ergonomics in Healthcare and Medical Devices, 2019

2017
Bidirectional reservoir networks trained using SVM + privileged information for manufacturing process modeling.
Soft Comput., 2017

Implementation of an Integrated Ambient Intelligence System.
Proceedings of the 2017 IEEE International Symposium on Parallel and Distributed Processing with Applications and 2017 IEEE International Conference on Ubiquitous Computing and Communications (ISPA/IUCC), 2017

Empirical Evaluation of the Cycle Reservoir with Regular Jumps for Time Series Forecasting: A Comparison Study.
Proceedings of the Artificial Intelligence Trends in Intelligent Systems, 2017

Restoration of Medical Images Using Genetic Algorithms.
Proceedings of the 2017 IEEE Applied Imagery Pattern Recognition Workshop, 2017

2016
A comparison between parametric and non-parametric soft computing approaches to model the temperature of a metal cutting tool.
Int. J. Comput. Integr. Manuf., 2016

2015
Software Effort and Function Points Estimation Models Based Radial Basis Function and Feedforward Artificial Neural Networks.
Int. J. Next Gener. Comput., 2015

Estimating software effort and function point using regression, Support Vector Machine and Artificial Neural Networks models.
Proceedings of the 12th IEEE/ACS International Conference of Computer Systems and Applications, 2015

2014
Improving production quality of a hot-rolling industrial process via genetic programming model.
Int. J. Comput. Appl. Technol., 2014

2013
Modelling hot rolling manufacturing process using soft computing techniques.
Int. J. Comput. Integr. Manuf., 2013

Parameter Estimation of Nonlinear Systems Using Lèvy Flight Cuckoo Search.
Proceedings of the Research and Development in Intelligent Systems XXX, 2013

2012
A monitoring and control framework for lost foam casting manufacturing processes using genetic programming.
Int. J. Bio Inspired Comput., 2012

Modeling lipase production process using Artificial Neural Networks.
Proceedings of the 2012 International Conference on Multimedia Computing and Systems, 2012

A business mobile application: Estimating financial time series models.
Proceedings of the 2012 International Conference on Multimedia Computing and Systems, 2012

3D object recognition using fuzzy mathematical modeling of 2D images.
Proceedings of the 2012 International Conference on Multimedia Computing and Systems, 2012

Genetic Algorithms: A tool for image segmentation.
Proceedings of the 2012 International Conference on Multimedia Computing and Systems, 2012

2011
A New Software Reliability Growth Model: Genetic-Programming-Based Approach.
J. Softw. Eng. Appl., 2011

Quality Management Using Electrical Capacitance Tomography and Genetic Programming: A new Framework.
Proceedings of the Research and Development in Intelligent Systems XXVIII, 2011

Predicting the Reliability of Software Systems Using Fuzzy Logic.
Proceedings of the Eighth International Conference on Information Technology: New Generations, 2011

2010
Evaluating software cost estimation models using particle swarm optimisation and fuzzy logic for NASA projects: a comparative study.
Int. J. Bio Inspired Comput., 2010

Analogue filter design using differential evolution.
Int. J. Bio Inspired Comput., 2010

A GP effort estimation model utilizing line of code and methodology for NASA software projects.
Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010

Image reconstruction of a metal fill industrial process using Genetic Programming.
Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010

Forecasting stock exchange using soft computing techniques.
Proceedings of the 8th ACS/IEEE International Conference on Computer Systems and Applications, 2010

Software effort estimation by tuning COOCMO model parameters using differential evolution.
Proceedings of the 8th ACS/IEEE International Conference on Computer Systems and Applications, 2010

2009
A Multistage Image Processing Methodology for Landmine Detection Using an Innovative NXT Mobile Robot System.
Proceedings of the 2009 International Conference on Image Processing, 2009

Identification and Model Predictive Controller Design of the Tennessee Eastman Chemical Process Using ANN.
Proceedings of the 2009 International Conference on Artificial Intelligence, 2009

Modeling of Hot Rolling Industrial Process Using Fuzzy Logic.
Proceedings of the ISCA 22nd International Conference on Computer Applications in Industry and Engineering, 2009

2008
Optimizing the communication distance of an ad hoc wireless sensor networks by genetic algorithms.
Artif. Intell. Rev., 2008

Identification of a chemical process reactor using soft computing techniques.
Proceedings of the FUZZ-IEEE 2008, 2008

Development of software effort and schedule estimation models using Soft Computing Techniques.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007
Image Enhancement Using Particle Swarm Optimization.
Proceedings of the World Congress on Engineering, 2007

2006
Software Effort Estimation and Stock Market Prediction Using Takagi-Sugeno Fuzzy Models.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2006

Reliability Growth Modeling for Software Fault Detection Using Particle Swarm Optimization.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

2003
Software Reliability Analysis Using Parametric and Non-Parametric Methods.
Proceedings of the ISCA 18th International Conference Computers and Their Applications, 2003

2002
Predicting Accumulated Faults in Software Testing Process Using Radial Basis Function Network Models.
Proceedings of the ISCA 17th International Conference Computers and Their Applications, 2002

2001
Time-series forecasting using GA-tuned radial basis functions.
Inf. Sci., 2001

Prediction of Software Reliability: A Comparison between Regression and Neural Network Non-Parametric Models.
Proceedings of the 2001 ACS / IEEE International Conference on Computer Systems and Applications (AICCSA 2001), 2001

2000
Robust nonlinear control design using competitive coevolution.
Proceedings of the 2000 Congress on Evolutionary Computation, 2000

1999
Optimal prediction of the Nile River flow using neural networks.
Proceedings of the International Joint Conference Neural Networks, 1999

Identification and robust controller design for large-scale systems using state-space model.
Proceedings of the 6th IEEE International Conference on Electronics, Circuits and Systems, 1999

Identification of nonlinear communication channel using evolutionary Volterra time-series.
Proceedings of the 1999 Congress on Evolutionary Computation, 1999


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