Search Results - (( intelligence 21 process algorithm ) OR ( intelligence a data algorithm ))

Enhanced Intelligent Water Drops Algorithm for University Examination Timetabling Problems by Bashar AbedAl Mohdi Talal AlDeeb

A hybrid approach for artificial immune recognition system / Mahmoud Reza Saybani by Mahmoud Reza, Saybani

“…Many researchers, who have developed methods and algorithms within the field of artificial intelligence, machine learning and data mining, have addressed extracting useful information from the data. …”
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E4ML: Educational Tool for Machine Learning by Sainin, Mohd Shamrie, Siraj, Fadzilah

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Hybrid intelligent approach for network intrusion detection by Al-Mohammed, Wael Hasan Ali

“…Due to the prevailing limitations of finding novel attacks, high false detection, and accuracy in previous intrusion detection approaches, this study has proposed a hybrid intelligent approach for network intrusion detection based on k-means clustering algorithm and support vector machine classification algorithm. …”
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Intelligent auto tracking in 3D space by image processing by Al-Khateeb, Khalid A. Saeed, Awang, Mat Kamil, Khalifa, Othman Omran

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Artificial intelligence?powered electrochemical sensor: Recent advances, challenges, and prospects by Nashruddin S.N.A.B.M., Salleh F.H.M., Yunus R.M., Zaman H.B.

“…Still, they also pose challenges such as data privacy, sensor stability, and algorithmic bias. …”

Domestic garbage target detection based on improved YOLOv5 algorithm by Ma, Haohao, Wu, Xuping, As'arry, Azizan, Han, Weiliang, Mu, Tong, Feng, Yanwei

“…Experiments have proved that the accuracy of intelligent classification reached 98.27%, which is 3.85% higher than the original algorithm. …”
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Mr image volume segmentation using neuro-fuzzy method / Ahmad Safwan Mohamed Makki by Ahmad Safwan, Mohamed Makki

“…Fuzzy logic and Neural network are complimentary and can be combined to form a neuro-fuzzy approach. This overcomes the shortcoming of both and can provide a robust and intelligent methodology for image analysis. …”
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Exploring imbalanced class issue in handwritten dataset using convolutional neural networks and deep belief networks by Amri, A’inur A’fifah, Ismail, Amelia Ritahani, Abdullah, Ahmad Zarir

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Boosting and bagging classification for computer science journal by Wibawa, Aji Prasetya, Putri, Nastiti Susetyo Fanany, Al Rasyid, Harits, Nafalski, Andrew, Hashim, Ummi Rabaah

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Mortality Trends and Its Impact on the Pension Liabilities by Rose Irnawaty Ibrahim

IoT-Based intelligent system for headwater phenomenon detection and alerts using ESP32 / Rozan Boudville … [et al] by Boudville, Rozan, Abdul Wahab, Afif Luqmanulhakim, Wan Zukenani, Wan Izzat Hakimi, Mohd Khelmy, Muhammad Adly Hisyam, Khiruddin, Nur Raihah

“…A decision-making algorithm correlates rainfall intensity with water level changes to classify potential hazards and trigger appropriate alerts. …”
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SCSA: Evaluating skyline queries in incomplete data by Gulzar, Yonis, Alwan, Ali Amer, Mohamed Abdullah, Radhwan, Xin, Qin, Swidan, Marwa

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DSC722: Research Methodology / College of Computing, Informatics and Mathematics by UiTM, College of Computing, Informatics and Mathematics

“…The topics of specific areas and trends in data. The areas include business intelligence, machine learning algorithms, big data analytics, and optimization and decision support systems. …”
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Botnet Detection in IoT Devices Using Random Forest Classifier with Independent Component Analysis by Akash, Nazmus Sakib, Rouf, Shakir, Jahan, Sigma, Chowdhury, Amlan, Uddin, Jia

“…Various machine learning algorithms were also implemented upon the processed data for comparative analysis. …”
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Frequent Lexicographic Algorithm for Mining Association Rules by Mustapha, Norwati

“…The recent progress in computer storage technology have enable many organisations to collect and store a huge amount of data which is lead to growing demand for new techniques that can intelligently transform massive data into useful information and knowledge. …”
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Hybrid Artificial Bees Colony Algorithms For Optimizing Carbon Nanotubes Characteristics by Mohammad Jarrah, Mu'ath Ibrahim

“…Optimization is a crucial process to select the best parameters in single and multi-objective problems for manufacturing process.However,it is difficult to find an optimization algorithm that obtain the global optimum for every optimization problem.Artificial Bees Colony (ABC) is a well-known swarm intelligence algorithm in solving optimization problems.It has noticeably shown better performance compared to the state-of-art algorithms.This study proposes a novel hybrid ABC algorithm with β-Hill Climbing (βHC) technique (ABC-βHC) in order to enhance the exploitation and exploration process of the ABC in optimizing carbon nanotubes (CNTs) characteristics.CNTs are widely used in electronic and mechanical products due to its fascinating material with extraordinary mechanical,thermal,physical and electrical properties. …”
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Enhancing electricity consumption forecasting in limited dataset: A simple stacked ensemble approach incorporating simple linear and support vector regression for Malaysia by Chuan, Zun Liang, Shao Jie, Ong, Yim Hin, Tham, Siti Nur Syamimi, Mat Zain, Yunalis Amani, Abdul Rashid, Ainur Naseiha, Kamarudin

“…This article introduces a novel artificial intelligence (AI) time-series algorithm, a simple stacked ensemble of simple linear regression (SLR) and Support Vector Regression (SVR), designed to forecast Malaysia’s annual electricity consumption, particularly in scenarios with limited datasets utilizing the Cross Industry Standard Process for Data Mining (CRISP-DM) data science methodology. …”
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Challenges due to the reliance on manual processes and human error: the use of technology in companies by Nasrudin, Nurin Izzdhinie, Mohamad, Amri

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Operating a reservoir system based on the shark machine learning algorithm by Allawi M.F., Jaafar O., Mohamad Hamzah F., Ehteram M., Hossain M.S., El-Shafie A.