Browsing by Author "Mohammed, Tareq Abed"
Now showing items 1-12 of 12
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Breast sentinel lymph node cancer detection from mammographic images based on quantum wavelet transform and an atrous pyramid convolutional neural network
Qasim, Mohammed N.; Mohammed, Tareq Abed; Bayat, Oğuz (Hindawi Limited, 2022)This study proposes an optimal approach to reduce noise in mammographic images and to identify salt-and-pepper, Gaussian, Poisson, and impact noises to determine the exact mass detection operation after these noise reductions. ... -
Designing a solar system that improved the solar system's performance in instances of partial shadowing
Namaa, Hayder Makkee; Mohammed, Tareq Abed; Ibrahim, Abdullahi Abdu (Elsevier, 2022)The great and decisive influence of the decision of nature or the natural factors of the earth, especially the strength of the solar radiation emitted by the sun and the temperature, remains an important condition and a ... -
Efficient hybrid memetic algorithm for multi-objective optimization problems
Mohammed, Tareq Abed; Sahmoud, Shaaban; Bayat, Oğuz (Ieee, 2017)Importance of multi-objective optimization problems has been rapidly increasing in the artificial intelligence community. This significant is due to the fact that there is high number of real-world applications having ... -
Efficient hybrid multi-objective evolutionary algorithm
Mohammed, Tareq Abed; Bayat, Oğuz; Uçan, Osman Nuri (Int Journal Computer Science & Network Security-Ijcsns, 2018)In the artificial intelligence community the multi-objective optimization problem become very common and has been rapidly increasing attention. This significant is due to the fact that there is high number of real-world ... -
Feature reduction based on hybrid efficient weighted gene genetic algorithms with artificial neural network for machine learning problems in the big data
Mohammed, Tareq Abed; Alhayali, Shaymaa; Bayat, Oğuz; Uçan, Osman Nuri (Hindawi Ltd, 2018)A large amount of data being generated from different sources and the analyzing and extracting of useful information from these data becomes a very complex task. The difficulty of dealing with big data arises from many ... -
Hybrid efficient genetic algorithm for big data feature selection problems
Mohammed, Tareq Abed; Bayat, Oğuz; Uçan, Osman Nuri; Alhayali, Shaymaa (Springer, 2020)Due to the huge amount of data being generating from different sources, the analyzing and extracting of useful information from these data becomes a very complex task. The difficulty of dealing with big data optimization ... -
Intelligent database interface techniques using semantic coordination
Mohammed, Tareq Abed; Alhayli, Shaymaa; Albawi, Saad; Duru, Adil Deniz (Institute of Electrical and Electronics Engineers Inc., 2018)More and more the use of artificial intelligence and data mining techniques established in many fields to solve the problem of classification. This paper consider most new database applications request smart interface to ... -
Intelligent enhancement of organization work flow and work scheduling using machine learning approach tree algorithm
Mohammed, Tareq Abed; Hamodi, Yaser Issam; Yousir, Naeem Th. (Int Journal Computer Science & Network Security-Ijcsns, 2018)Decision Tree is one of the most used machine learning language used for analyzing business problems mostly applied to predict and decide the best way to the problems. Mostly it works on existing data and avoid repeating ... -
Neural network behavior analysis based on transfer functions MLP & RB in face recognition
Mohammed, Tareq Abed; Alazzawi, Abdulbasit; Uçan, Osman Nuri; Bayat, Oğuz (Assoc Computing Machinery, 2018)We performed multi-layer perceptron neural networks MLPNN and Radial Basis neural networks RBNN. In the MLPNN, we applied three layers (input, Hidden, and output) with sigmoid transfer function. Similarly, we used RBNN. ... -
A novel software engineering approach toward using machine learning for improving the efficiency of health systems
Moreb, Mohammed; Mohammed, Tareq Abed; Bayat, Oğuz (Ieee-Inst Electrical Electronics Engineers Inc, 2020)Recently, machine learning has become a hot research topic. Therefore, this study investigates the interaction between software engineering and machine learning within the context of health systems. We proposed a novel ... -
The prediction of fusion degree of International groups from their Twitter accounts
Abbas, Ahmed K.; Mohammed, Tareq Abed; Bayat, Oğuz; Uçan, Osman Nuri; Bayat, Oğuz; Abbas, Ahmed K.; Mohammed, Tareq Abed (Ieee, 2017)Recently, social media has had a tremendous impact on our life and culture. Most of people enter the social media websites every day to do several things which makes them the most popular data sources on the Internet. ... -
Understanding of a convolutional neural network
Albawi, Saad; Mohammed, Tareq Abed; Al-Zawi, Saad (Ieee, 2017)The term Deep Learning or Deep Neural Network refers to Artificial Neural Networks (ANN) with multi layers. Over the last few decades, it has been considered to be one of the most powerful tools, and has become very popular ...
