Search Results - (( intelligence based data algorithm ) OR ( intelligence open learning algorithm ))

Development of Machine Learning Algorithm for Acquiring Machining Data in Turning Process by Ali Al-Assadi, Hayder M. A.

“…The design network is trained by presenting several target machining data that the network must learn according to a learning rule (algorithm). …”
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Hybrid Intelligent Warning System for Boiler tube Leak Trips by Singh D., Ismail F.B., Shakir Nasif M.

Predicting longitudinal dispersion coefficient using ensemble models and optimized multi-layer perceptron models by Gholami M., Ghanbari-Adivi E., Ehteram M., Singh V.P., Najah Ahmed A., Mosavi A., El-Shafie A.

An empirical study of TensorFlow lite performances in Raspberry Pi / Mohamad Harith Mohd Zahid by Mohd Zahid, Mohamad Harith

“…However, this type of learning is highly time-consuming and costly as very complex algorithms are present. …”
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A quick gbest guided artificial bee colony algorithm for stock market prices prediction by Shah, Habib, Tairan, Nasser, Garg, Harish, Ghazali, Rozaida

“…Still, predicting an exact or near-to-exact trend of the Stock Market values behavior is an open problem. In this respect, in the present manuscript, we propose an algorithm based on ABC to minimize the error in the trend and actual values by using the hybrid technique based on neural network and artificial intelligence. …”
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Systematic review on ai-blockchain based e-healthcare records management systems by Haddad, Alaa, Habaebi, Mohamed Hadi, Islam, Md. Rafiqul, Hasbullah, Nurul Fadzlin, Zabidi, Suriza Ahmad

“…Combining AI and blockchain technology can handled some of the drawbacks of these two technical ecosystems effectively. AI algorithms rely on data or information to learn, analyze, and reach conclusions. …”
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Artificial Intelligence Based Hybrid Forecasting Approaches for Wind Power Generation: Progress, Challenges and Prospects by Lipu M.S.H., Miah M.S., Hannan M.A., Hussain A., Sarker M.R., Ayob A., Saad M.H.M., Mahmud M.S.

Systematic review on ai-blockchain based e-healthcare records management systems by Haddad, Alaa, Habaebi, Mohamed Hadi, Islam, Md Rafiqul, Hasbullah, Nurul Fadzlin, Zabidi, Suriza Ahmad

“…Combining AI and blockchain technology can handled some of the drawbacks of these two technical ecosystems effectively. AI algorithms rely on data or information to learn, analyze, and reach conclusions. …”
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Comprehensive review of drones collision avoidance schemes: challenges and open issues by Rezaee, Mohammad Reza, Abdul Hamid, Nor Asilah Wati, Hussin, Masnida, Ahmad Zukarnain, Zuriati

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Flood mapping based on novel ensemble modeling involving the deep learning, Harris Hawk optimization algorithm and stacking based machine learning by Costache R., Pal S.C., Pande C.B., Islam A.R.M.T., Alshehri F., Abdo H.G.

Application of Artificial Intelligence In Smart City by Law, Jia Wei

“…Proposals on AI application trends in the Economic dimension are regulated Unmanned Aerial Vehicle (UAV) application, create open resources of data sources, algorithms, and sources of economic AI machines, and assist in financial analysis of the smart city. …”
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A Hybrid Artificial Intelligence Model for Detecting Keratoconus by Alyasseri Z.A.A., Al-Timemy A.H., Abasi A.K., Lavric A., Mohammed H.J., Takahashi H., Milhomens Filho J.A., Campos M., Hazarbassanov R.M., Yousefi S.

A systematic review of rolling bearing fault diagnoses based on deep learning and transfer learning: Taxonomy, overview, application, open challenges, weaknesses and recommendation... by Hakim M., Omran A.A.B., Ahmed A.N., Al-Waily M., Abdellatif A.

“…Deep Learning is now an extraordinarily popular research topic in the field and a promising approach for detecting intelligent bearing faults. This paper aims to give a comprehensive overview of Deep Learning (DL) based on bearing fault diagnosis. …”

Brain tumor MRI medical images classification with data augmentation by transfer learning of VGG16 by Ahmed Yahya Al-Galal, Sabaa, Taha Alshaikhli, Imad Fakhri, Abdulrazzaq, M. M., Hassan, Raini

“…The ability to estimate conclusions without direct human input in healthcare systems via computer algorithms is known as Artificial intelligence (AI) in healthcare. …”
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Predicting Water Quality with Artificial Intelligence: A Review of Methods and Applications by Irwan D., Ali M., Ahmed A.N., Jacky G., Nurhakim A., Ping Han M.C., AlDahoul N., El-Shafie A.

“…Furthermore, we review the commonly adopted artificial intelligence-based models which have been utilized to forecast the water quality. 83 studies published from 2009 to 2023 were selected and reviewed based on their success in modelling and forecasting the water quality in multiple regions. …”

A comparative study of supervised machine learning approaches for slope failure production by Deris A.M., Solemon B., Omar R.C.

“…The prediction result from testing data was validated based on statistical analysis. …”

Integration of grey analysis with artificial neural network for classification of slope failure by Deris A.M., Solemon B., Omar R.C.

“…GRA is capable of identifying the influencing factors of the input data based on the correlation level of the reference sequence and comparability sequence of the dataset. …”

A systematic literature review on the application of artificial intelligence in enhancing care for kidney diseases patients by Rahman, Md Saidur, Md Nor, Nor Saadah

“…The other way around, AI is a limb of Computer Science dedicated to developing systems that do what a human does intelligently. AI in healthcare has opened several breakthroughs in healthcare, especially in the management of CKD. …”
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Hybrid deep learning model for ozone concentration prediction: comprehensive evaluation and comparison with various machine and deep learning algorithms by Yafouz A., Ahmed A.N., Zaini N., Sherif M., Sefelnasr A., El-Shafie A.

Bearing Fault Diagnosis Using Lightweight and Robust One-Dimensional Convolution Neural Network in the Frequency Domain by Hakim M., Omran A.A.B., Inayat-Hussain J.I., Ahmed A.N., Abdellatef H., Abdellatif A., Gheni H.M.