Search Results - (( intelligence based banking algorithm ) OR ( intelligence valid mapping algorithm ))

Tacit knowledge for business intelligence framework using cognitive-based approach by Surbakti, Herison

“…The framework is validated through Power BI and reviewed by seven experts. …”
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Mobile banking Trojan detection using Naive Bayes / Anis Athirah Masmuhallim by Masmuhallim, Anis Athirah

“…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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An application of image processing for automated mixed household waste sorting system by Zol Bahri, Razali, Madasamy, Gunasegaran

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Hybrid Spatial-Artificial Intelligence Approach for Renewable Energy Sources Sites Identification and Integration in Sarawak State by Far Chen, Jong

“…The minimum total distances in all four cases are acquired and validated as both the TSP-GA algorithm and the Traveling Salesman Problem-Mixed Integer Linear Programming (TSP-MILP) algorithm produced the same routing pattern. …”
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Speech enhancement using deep neural network based on mask estimation and harmonic regeneration noise reduction for single channel microphone by Md Jamal, Norezmi

“…Moreover, the task of removing noises without causing speech distortion is also challenging, in which the quality and intelligibility of speech are affected. In order to overcome these issues, a supervised Deep Neural Network (DNN) algorithm predicted constrained Wiener Filter (cWF) target mask algorithm based on extracted Gammatone filter bank power spectrum (GF-TF) features and trained model is developed. …”
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Artificial intelligent power prediction for efficient resource management of WCDMA mobile network by Tee Y.K., Tinng S.K., Koh J., David Y.

“…This artificial intelligent call admission control (CAC) was validated using a dynamic WCDMA mobile network simulator. …”

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.

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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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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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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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. …”
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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. …”
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Genetic neuro controller based direct torque control for switched reluctance motor drive by Veena, P, Jeyabharath, R, Rajaram, M, Sivanandam, S.N.

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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. …”

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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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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LSR-YOLO: a lightweight and fast model for retail products detection by Zhao, Yawen, Solihin, Mahmud Iwan, Yang, Defu, Cai, Bingyu, Chow, Li Sze, Handayani, Dini Oktarina Dwi, Prabuwono, Anton Satria

“…Experiments on the Locount dataset demonstrate that LSR-YOLO achieves an inference speed of 357.1 FPS with mAP50 of 72.2% and mAP50-95 of 47.8%. Compared with the baseline YOLOv8n, LSR-YOLO increases inference speed by 246.7 FPS, making it substantially faster and more suitable for real-time retail applications. …”
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Design and development of latex mark visual detection system by Chong, Kai Zhe, Zakaria, Azrul Abidin, Mohamed, Hassan, Baharuddin, Mohd Zafri

“…With the 14 stages of algorithm development, including tagging and training, the YOLO v5 model achieved an average loss of 5.2% and mAP performance of 99.3% accuracy, achieving the AQL 2.5 standard with less than 15 pieces of false detection.…”
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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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Application of artificial intelligence (AI) in islamic investments by Haneffa Muchlis Gazali, Junisa Jumadi, Noor Rasyidah Ramlan, Nurmaisarah Abd Rahmat, Siti Nor Hazilawati Mohd Uzair, Amirah Norliyana Mohid

“…This study examines the application of Artificial Intelligence (AI) in Islamic Investments. AI technology is very popular in both the conventional and Islamic banking systems as reflected in the contributions of AI in Islamic investment. …”
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