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Mobile banking Trojan detection using Naive Bayes / Anis Athirah Masmuhallim by Masmuhallim, Anis Athirah

“…The approach aims to offer a solution to protect users from potential threats such as Banking Trojan malware. The objectives of this project are to study the requirement of the Naive Bayes algorithm in Mobile Banking Trojan detection, to develop a webbased detection system for Mobile Banking Trojan using Naive Bayes, and to evaluate the performance and accuracy of the Naive Bayes algorithm in the Mobile Banking Trojan detection. …”
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Adaptive Neural Subtractive Clustering Fuzzy Inference System for the Detection of High Impedance Fault on Distribution Power System by Tawafan, Adnan, Sulaiman , Marizan, Ibrahim, Zulkifilie

“…This paper proposes an intelligent algorithm using an adaptive neural- Takagi Sugeno-Kang (TSK) fuzzy modeling approach based on subtractive clustering to detect high impedance fault. …”
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Using Artificial Intelligence (AI) to improve accounting productivity and performance in business by Abdul Rahman, Samsuria, Wan Mustafa, Wan Muzlaina, Mat Jusoh, Yusri Huzaimi

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Consumption-Based Priority Algorithm for Energy Consumption by Ahsan, Matiullah, Zainal, Zainab, Baharom, Md Nor Ramdon, Khalil, Ihsan Ullah, Mohd Ariffin, Azrul, Mohd Jamil, Nor Akmal, Ullah, Irshad, Mehmod, Luqman Hakim, Mohd Yousaf, Mohd Fairouz

“…The secret to creating energy-efficient processes is creating rules based on energy consumption priority algorithms. When an energy bank is limited and an energy supply to a system is needed for a specific time, the priority algorithm is frequently used. …”
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Consumption-Based Priority Algorithm for Energy Consumption by Ahsan, Matiullah, Zainal, Zainab, Baharom, Md Nor Ramdon, Khalil, Ihsan Ullah, Mohd Ariffin, Azrul, Mohd Jamil, Nor Akmal, Ullah, Irshad, Mehmod, Luqman Hakim, Mohd Yousaf, Mohd Fairouz

“…The secret to creating energy-efficient processes is creating rules based on energy consumption priority algorithms. When an energy bank is limited and an energy supply to a system is needed for a specific time, the priority algorithm is frequently used. …”
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Consumption-Based Priority Algorithm for Energy Consumption by Ahsan M., Zainal Z., Baharom M.N.R., Khalil I.U., Ariffin A.M., Jamil N.A.M., Ullah I., Mehmod L.H., Yousaf M.F.M.

“…The secret to creating energy-efficient processes is creating rules based on energy consumption priority algorithms. When an energy bank is limited and an energy supply to a system is needed for a specific time, the priority algorithm is frequently used. …”

High Impedance Fault Detection on Power Distribution Feeder by Sulaiman , Marizan, Tawafan, Adnan, Ibrahim, Zulkifilie

“…This paper presents an intelligent algorithm using a Takagi Sugeno-Kang (TSK) fuzzy modeling approach based on subtractive clustering to detect high impedance fault. …”
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Broken Conductor Detection on Power Distribution Feeder by Sulaiman , Marizan, Tawafan, Adnan, Ibrahim, Zulkifilie

“…It proposes an intelligent algorithm using the Fuzzy Subtractive Clustering Model (FSCM) to detect the high impedance fault. …”
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Intelligent image noise types recognition and denoising system using deep learning / Khaw Hui Ying by Khaw , Hui Ying

“…An ensemble of these algorithms is an intelligent and adaptive solution, producing a clean output, while preserving significant pixel information. …”
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Detecting High Impedance Fault in Power Distribution Feeder with Fuzzy Subtractive Clustering Model by Sulaiman , Marizan, Adnan, Tawafan, Ibrahim, Zulkifilie

“…This paper proposes an intelligent algorithm using the Takagi Sugeno- Kang (TSK) fuzzy modeling approach based on subtractive clustering to detect the high impedance fault. …”
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Classification of credit card holder behavior using K Nearest Neighbor algorithm / Ahmad Faris Rahimi by Rahimi, Ahmad Faris

“…Since KNN is the simplest form of artificial intelligence, future work could combine this algorithm with other classification algorithm. …”
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Clustering Based on Customers’ Behaviour in Accepting Personal Loan using Unsupervised Machine Learning by Lim, Wai Ping, Goh, Ching Pang

“…This research explores the application of unsupervised learning, a subset of Artificial Intelligence (AI), to analyze customer behavior in accepting personal loans within the banking sector. …”
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Social learning and principal-agent problems in profit sharing contract by Sapuan N.M., Sanusi N.A., Ismail A.G., Wibowo A.

“…Originality/value -This study is the first of its kind that investigates the implementation of the social learning process in Islamic banking operation. We also utilized the latest technique from Artificial Intelligent (AI) system, i.e. a genetic algorithm (GA) to attain an optimal value for PSR and social learning process. � 2016, Emerald Group Publishing Ltd. …”

Fault Detection and Identification in Quadrotor System (Quadrotor Robot) by Chan, Shi Jing, Pebrianti, Dwi

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Charging and discharging control of Li-Ion battery energy management for Electric vehicle application by Verasamy M., Faisal M., Ker P.J., Hannan M.A.

“…A bidirectional flyback DC-DC converter is investigated in the BMS model to control the under-charging or overcharging of cells. An intelligent charge control algorithm is used for this purpose. …”

Characterizing Current Features of Malicious Threats on Websites by Wan Nurulsafawati, Wan Manan, Ahmed, Abdulghani Ali, M. N. M., Kahar

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الضوابط الشرعية والمهنية للعملات الافتراضية في ظل الرقمنة المالية by Mahmoud Mohamed Ali Mahmoud Edris, Mohamed Sharif Bashir, Muneer Ali Abdul Rab, Ahmad Zaki Salleh

Speaker identification through feature fusion based deep learning / Rashid Jahangir by Rashid , Jahangir

“…These unique characteristics enable researchers to recognise human voice using artificial intelligence techniques that are important in the areas of security and surveillance, electronic voice eavesdropping, mobile banking, mobile shopping and speaker identification (SI). …”
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Energy Management Strategies for Optimal Hybrid Microgrid Configuration in the Smart Village Context by Fakhar, Adila

“…The hybrid energy management algorithm-based the PLC signal was developed using the MATLAB. …”
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Utilization of Artificial Neural Networks to Improve the Accuracy of a Hybrid Power System Model by Atef, M., Abdullah, M.F., Khatib, T., Romlie, M.F.

“…The mathematical model (Math-M) that has been used in the optimization algorithm saved more than 38 from the operating cost of the power system that is used to supply the power to Universiti Teknologi PETRONAS (UTP). …”
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