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Utilizing Classifier Algorithms to Analyze Lending Activity at The Sumsel Babel Bank's Pagar Alam Branch by Muhammad, Ichsan, Tri Basuki, Kurniawan

“…In this research, a classifier algorithm was applied to create a prediction model to predict the customer before the lending application was used and process to pass the lending process in Bank Sumsel, branch Pagar Alam. …”
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Analysis and comparison of classification algorithms for credit approval in Islamic banks by Pebrianti, Dwi, Wijanarko, Whena, Bayuaji, Luhur, Toha, Siti Fauziah

“…Using a dataset from an Islamic bank, the algorithms were assessed through precision, sensitivity, and accuracy metrics. …”
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The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

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Towards quick response and secure online banking transactions: using data compression and cryptography by Abdullah Zammarh, Nuha, Shah, Asadullah

“…This paper is going to review and address the current issues involving the online banking security by introducing the new quick and secure (QAS) process that has impact and accelerated the online banking transactions and set the bar high for a new frontier encryption algorithms.…”
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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.

“…The data are collected from the period of 2009 to 2013 and it will be used for the simulation process by utilizing the genetic algorithm technique. …”

The development of an algorithm and a model through image processing and remote sensing techniques for assessing environmental impacts of routine carbon footprint in Peninsular Mal... by Mat Jafri, Mohd. Zubir

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The Determinant Factors for the Issuance of Central Bank Digital Currency (CBDC) in Malaysia using Machine Learning Framework by Normi Sham Awang, Abu Bakar, Norzariyah, Yahya, Norbik Bashah, Idris, Engku Rabiah Adawiah, Engku Ali, Jasni, Mohamad Zain, Erni Eliana, Khairuddin, Ahmad Firdaus, Zainal Abidin, Murtaj, Sheikh Mohammad Tahsin, Siti Sarah, Maidin

“…The models were trained and validated using a rigorous cross-validation process to ensure robustness. …”
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Development of unconstrained handwritten digit extraction, segmentation and recognition on bank cheques using artificial neural network by Francis, Adam

“…The second objective is to locate the position of the amount courtesy block for the extraction process by using the Coordinate Search. The third objective is to perform Vertical Splitting Algorithm technique for digit segmentation. …”
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Shuffling algorithms for automatic generator question paper system. by Mohd Jamail, Nor Shahida, Md Sultan, Abu Bakar

“…The results indicate shuffling algorithm could be used to overcome randomization issue for GQS.…”
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HYBRID: an efficient unifying process to mine frequent itemsets by Zulkurnain, Nurul Fariza, Shah, Ahmad

“…In this paper, an efficient hybrid algorithm was designed using a unifying process of the algorithms Improved Apriori and FP-Growth. …”
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The determinant factors for the issuance of Central Bank Digital Currency (CBDC) in Malaysia using machine learning framework by Awang Abu Bakar, Normi Sham, Yahya, Norzariyah, Idris, Norbik Bashah, Engku Ali, Engku Rabiah Adawiah, Mohamad Zain, Jasni, Khairuddin, Erni Eliana, Zainal Abidin, Ahmad Firdaus, Murtaj, Sheikh Mohammad Tahsin, Maidin, Siti Sarah

“…The models were trained and validated using a rigorous crossvalidation process to ensure robustness. …”
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Single Slice Grouping Mechanism for Recognition of Cursive Handwritten Courtesy Amounts of Malaysian Bank Cheques by Sulaiman, Md. Nasir, Khalid, Marzuki

“…The image contains cursive handwritten courtesy Amounts of Malaysian bank cheques. A three layer neural Network architecture with the new error function of Backpropagation learning algorithm is used. …”
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Asset liability management model: The case of selected Islamic banks in Malaysia / Chong Hui Ling by Chong , Hui Ling

“…Algorithms established for the optimisation processes are documented for the study. …”
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Clustering Based on Customers’ Behaviour in Accepting Personal Loan using Unsupervised Machine Learning by Lim, Wai Ping, Goh, Ching Pang

“…Using a dataset from Kaggle comprising 13 attributes and 5000 rows of bank customer data, the research addresses the challenge of processing overwhelming customer information by leveraging machine learning models. …”
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Low power reconfigurable sub-band filter bank ASIC for MP3 decoder by Gangamamba, B. P., Muralidhar, Pendyala V., Murthy, Nukala Satyanarayana

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Low power reconfigurable sub-band filter bank ASIC for MP3 decoder by Gangamamba, B. P., Muralidhar, P., Murthy, N. S.

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Uncovering user perceptions toward digital banks in Indonesia: A Naïve Bayes sentiment analysis of twitter data by Karmagatri, Mulyani, Aziz, Clarisa Fezia Amanda, Asih, Wini Rizki Purnama, Jumbri, Isma Addi

“…The subsequent stages involved classification using the Naïve Bayes algorithm and word cloud visualization to identify the most commonly used words based on user responses. …”
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Prediction of payment method in convenience stores using machine learning by Pratondo, Agus, Novianty, Astri, Pudjoatmodjo, Bambang

“…Predicting payment modes is a critical aspect of financial analysis and planning, with implications for various industries, including banking, e-commerce, and market research. However, the lack of accurate and robust predictive models for determining payment modes poses a significant challenge in optimizing financial strategies and decision-making processes across industries such as banking, e-commerce, and market research. …”
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Monitoring and analysis part of river bank using unmanned aerial vehicle [UAV] at Terusan Besar, Jitra / Mohammad Amin Mohd Asli by Mohd Asli, Mohammad Amin

“…The methodology consist with the data was achieved by processing using the software. Flight control algorithms to guide a vehicle through waypoint based flight paths and loiter about a point were implemented using direction fields. …”
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Improvement of LMS adaptive noise canceller using uniform poly-phase digital filter bank by Mohammed, Alaa Hadi, Che Soh, Azura, Ismail, Noor Faezah, Abdul Rahman, Ribhan Zafira, Mohd Radzi, Mohd Amran

“…This paper presents the Least Mean Square (LMS) noise canceller using uniform poly-phase digital filter bank to improve the noise can-cellation process. …”
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