Search Results - (( developing banking model algorithm ) OR ( java implication based algorithm ))

Prediction of customer churn for ABC Multistate Bank using machine learning algorithms / Hui Shan Hon ... [et al.] by Hui, Shan Hon, Khai, Wah Khaw, XinYing, Chew, Wai, Peng Wong

“…Customer churn is defined as the tendency of customers to cease doing business with a company in a given period. ABC Multistate Bank faces the challenges to hold clients. The purpose of this study is to apply machine learning algorithms to develop the most effective model for predicting bank customer churn. …”
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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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Asset liability management model: The case of selected Islamic banks in Malaysia / Chong Hui Ling by Chong , Hui Ling

“…Specifically, this research has been conducted with the core objective to develop a customised programming model for multi-purpose optimisation using this penalty cost method that ties together divergent objectives unique to Islamic banks. …”
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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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ios Mobile Malware Deep Analysis And Classification For Social Media And Online Banking Exploitation by Muhammad ‘Afif Bin Husainiamer

Clustering Based on Customers’ Behaviour in Accepting Personal Loan using Unsupervised Machine Learning by Lim, Wai Ping, Goh, Ching Pang

“…The findings underscore the pivotal role of AI in navigating and unraveling customer behavior complexities in the banking industry. All clustering models are developed successfully in producing cluster results. …”
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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 overall CentralBank Digital Currency Project Index (CBDCPI) was selected as a target variable,while two machine learning algorithms, Random Forest and XGBoost were utilized to identify the determining variables. …”
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Predicting credit risk of the small medium enterprises using modified KMV model / Shakila Saad by Saad, Shakila

“…Hence, it is necessary for banks to develop a mechanism to gauge the credit risk of its borrowers. …”
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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 overall Central Bank Digital Currency Project Index (CBDCPI) was selected as a target variable, while two machine learning algorithms, Random Forest and XGBoost were utilized to identify the determining variables. …”
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A Hybrid Adaptive Leadership GWO Optimization with Category Gradient Boosting on Decision Trees Algorithm for Credit Risk Control Classification by Suihai, Chen, Chih How, Bong, Po Chan, Chiu

“…It can effectively enhance the predictive accuracy and execution speed of the CatBoost algorithm model. The third step involves applying the new algorithm to the risk control model for testing and comparison, resulting in the conclusion that the model established by the EBGWO-Catboost algorithm exhibits more advantages compared to models built by other algorithms. …”
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Sentiment analysis using clonal selection algorithm for Twitter’s data / Fatimah Mamat by Mamat, Fatimah

“…In order to achieve the main objective, five phases of methodology was been implemented which are preliminary study, data preparation, model development, model evaluation & prototype development and last but not list is documentation. …”
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Loan default prediction using machine learning algorithms: a systematic literature review 2020 -2023 by Soomro, Anam, Zakariyah, Habeebullah, Aftab, S.M.A., Muflehi, Mohamad, Shah, Asadullah, Meraj, Syeda

“…This study conducts a systematic literature review (SLR) on the prediction of loan defaults using machine learning algorithms (MLAs) from 2020 to 2023. It critically examines the transition from traditional statistical models to advanced ML techniques in assessing credit risk, with a focus on the banking sector's need for reliable default prediction methods. …”
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Energy cost and carbon emission minimization for hybrid grid-independent microgrid using rule-based energy management scheme by Bukar A.L., Tan C.W., Lau K.Y., Toh C.L., Ayop R., Abbagoni B.M., Dahiru A.T.

“…The features EM scheme includes uninterrupted electricity supply to demand, minimize fuel consumption and minimize BT bank degradation. To simulate the microgrid, models for the state-of-charge (SOC) estimation of the BT bank, WT, PV and Dgen is developed. …”

Simulation of power quality events using simulink model by Tan R.H.G., Ramachandaramurthy V.K.

“…Capacitor bank switching model is also presented to simulate voltage transient at the distribution network. …”

Energy efficiency of the bitcoin mining hardware and related blockchain technology by Noor Faiqah Izzati, Afandi

“…Developers of bitcoin hardware systems and bitcoin miners are the possible users of proposed formula and algorithm.…”
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Algorithm for Preprocessing Electrocardiosignal for a Wireless Holter Monitoring System by Gerasimova, Yuliya, Sidi, Fatimah, Abdullah, Lili Nurliyana, Ivel, Victor, Moldakhmetov, Sayat

“…The authors developed a Holter monitoring system model, which includes real-time MATLAB system packages, the PhysioBank's Automated Teller Machine electro cardio signal database, and an external wireless subsystem for transmitting ECG information. …”
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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

“…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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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.

“…Nevertheless, li-ion battery needs protective mechanism to control overcharged or undercharged of the cell that can reduce the life expectancy and efficiency. Hence, a control model needs to develop to enhance the protection of battery. …”

Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

An ensemble of neural network and modified grey wolf optimizer for stock prediction by Das, Debashish

“…Grey Wolf Optimizer (GWO) is a recently developed meta-heuristic algorithm which is appealing to researcher owing to its demonstrated performance as cited in the scientific literature. …”
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