Search Results - (( developing banking effect algorithm ) OR ( java implication tree 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. …”
Get full text
Get full text

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. …”
Get full text
Get full text
Get full text

Optimal allocation and sizing of capacitor bank and distributed generation using particle swarm optimization by El Tawil, Naji Ammar Mansour

“…In order to validate the functionality of the proposed PSO algorithm, the IEEE 14–bus and 30–bus systems were used as test systems. …”
Get full text
Get full text
Get full text

Asset liability management model: The case of selected Islamic banks in Malaysia / Chong Hui Ling by Chong , Hui Ling

“…If they are to fulfil this objective, Islamic banks must have robust treasury management mechanisms in place, since effective treasury functions like asset and liability management are crucial to avoiding the risks of insolvency and bank collapse. …”
Get full text
Get full text
Get full text

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. …”
Get full text
Get full text
Get full text
Get full text

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. …”

The algorithm design for trust in peer-to-peer bitcoin transactions on blockchain/ Irni Eliana Khairuddin by Khairuddin, Irni Eliana

Get full text
Get full text
Get full text

Evaluating Machine Learning Algorithms for Fake Currency Detection by Keerthana, S.N, Chitra, K.

“…In this study, we evaluate the effectiveness of six supervised machine learning algorithms—K-Nearest Neighbor, Decision Trees, Support Vector Machine, Random Forests, Logistic Regression, and Naive Bayes—in detecting the authenticity of banknotes. …”
Get full text
Get full text
Get full text
Get full text

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. …”
Get full text
Get full text
Get full text
Get full text
Get full text

Rational drug design using genetic algorithm: case of malaria disease by Al-Safi, Hassen Mohammed, Alshaikhli, Imad Fakhri Taha

“…In the experiment, we used falcipain-2 as our target protein (2GHU.pdb) obtained from the protein data bank and docked with twenty different available anti malaria drugs in order to find the effective and efficient drugs. …”
Get full text
Get full text
Get full text

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. …”
Get full text
Get full text
Get full text
Get full text

A rule-based energy management system for hybrid renewable energy sources with battery bank optimized by genetic algorithm optimization by Jamal S., Pasupuleti J., Ekanayake J.

Hybrid BLEU Algorithm For Structured Exam Management System by Zulhana, Zulkifle

“…Due to this problem, "Hybrid BLEU algorithm for Structured Exam Management System " is develop to aid the lecturers during assessment in the construction of quiz and test. …”
Get full text
Get full text
Get full text

Machine learning based return prediction for digital financial portfolios by LinXi Shi, Thien Sang Lim, Jin Yan, Pengcheng Qi, Tao Li

“…The machine learning algorithm is introduced to optimize the digital financial portfolio investment return prediction system. …”
Get full text
Get full text
Get full text

Effect of vibration on hydraulic conductivity of riverbank filtration site / Fauzi Baharudin by Baharudin, Fauzi

“…The results have shown that the model developed with Scaled Conjugate Gradient (SCG) algorithm provided the best prediction with values for mean squared error (MSE) of 58.59 and R of 0.86. …”
Get full text
Get full text

Deep learning model for predicting and detecting overlapping symptoms of cardiovascular diseases in hospitals of UAE by Abbas Alhadeethy, Najwa Fadhil, Khedher, Akram M Z M, Shah, Asadullah

“…The DL algorithm that can be well matched to chemistry is the hemodynamic and electrophysiological parameters catalogues that are effectively captured over continuous periods by wearable machines, as well as the division of images into captured images or pictures (Nagueh, 2016). …”
Get full text
Get full text
Get full text

Suspicious activities detection for anti-money laundering using machine learning techniques by Lim, Aun Chir

“…To solve money laundering, more effective techniques for detecting suspicious transactions must be developed. …”
Get full text
Get full text

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

“…Moreover, various factors data like Dollar price, Gold price, Bank interest rate, Foreign Direct Investment, and Inflation are collected to measure the effect in stock market. …”
Get full text
Get full text

Techno-economic analysis of an optimized photovoltaic and diesel generator hybrid power system for remote houses in a tropical climate by Ismail M.S., Moghavvemi M., Mahlia T.M.I.

“…The optimal tilt angle of the PV panels in order to increase the generated energy was obtained using genetic algorithm. In addition, sensitivity analysis was undertaken to evaluate the effect of change of some parameters on the cost of energy. …”

Energy Management System for Grid-Connected Nanogrid during COVID-19 by Jamal S., Pasupuleti J., Rahmat N.A., Tan N.M.L.