Search Results - (( developing effective risk algorithm ) OR ( java implication based algorithm ))

Development of an effective clustering algorithm for older fallers by Goh, Choon Hian, Wong, Kam Kang, Tan, Maw Pin *, Ng, Siew Cheok, Chuah, Yea Dat, Kwan, Ban Hoe

Get full text
Get full text

The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

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

“…However, compared with the traditional risk control algorithm (logistic regression algorithm), CatBoost algorithm also needs to have the advantages of high efficiency, low algorithm complexity and strong interpretable ability. …”
Get full text
Get full text
Get full text
Get full text

Managing risk in production scheduling under uncertain disruption by Sarker, Ruhul, Essam, Daryl, Kamrul Hasan, S.M., Karim, A.N. Mustafizul

“…In this paper, we have studied JSPs under sudden machine breakdown scenarios that introduce a risk of not completing the jobs on time. We have first solved JSPs using an improved memetic algorithm and extended the algorithm to deal with the disruption situations, and then developed a simulation model to analyze the risk of using a job order and delivery scenario. …”
Get full text
Get full text
Get full text

Risk assessment for safety and health algorithm for building construction in Oman by Al-Anbari, Saud Said

“…The RASH algorithm is defined by overall risk, which is equivalent to the sum of Risk Safety Safety, Risk Safety Health, Risk Health Safety, and Risk Health Health. …”
Get full text
Get full text

Multi-Objective Portfolio Optimization Strategy using the SPEA-II Algorithm by Azarberahman, Alireza, Tohidinia, Malihe, Aliakbarzadeh, Hossein

“…The study highlights that the SPEA-II algorithm can serve as an effective and efficient method for stock portfolio selection and optimization, helping investors to identify portfolios with lower risk and higher return…”
Get full text
Get full text
Get full text

Decision Support Approach to Computerize Maintenance Management System: Development and Implementation in Food Processing Industry by M.A., Burhanuddin, A.R., Ahmad, M.I., Desa, M.Y., Zeratul

“…We are in the progress of developing more decision support algorithms and modules in our future work.…”
Get full text
Get full text

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

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

“…The findings aim to guide researchers and practitioners in enhancing loan default prediction models, contributing to more effective credit risk management strategies.…”
Get full text
Get full text
Get full text
Get full text
Get full text

Algorithmic fairness in AI-driven project management for post-conflict and developing regions: a critical review and framework for context-aware AI by Ahmed Al-Azazi, Saleem, Alawag, Aawag Mohsen, Saif, Amin

“…Artificial Intelligence (AI) is poised to revolutionize construction project management, offering unprecedented gains in efficiency, scheduling, and risk assessment. However, deploying AI uncritically in the data-poor and socially fragile environments of post-conflict and developing regions creates profound ethical risks. …”
Get full text
Get full text
Get full text

Detecting Remote-To-Local (R2L) attack using Decision Tree algorithm / Ahmad Nasreen Aqmal Mohd Nordin by Mohd Nordin, Ahmad Nasreen Aqmal

“…The project successfully achieves its predetermined objectives, culminating in the development of an effective Remote to Local (R2L) Intrusion Detection System utilizing the Decision Tree algorithm. …”
Get full text
Get full text

Fine-scale predictive modeling of Aedes mosquito abundance and dengue risk indicators using machine learning algorithms with microclimatic variables by Che Dom, Nazri, Mohd Hardy Abdullah, Nur Athen, Dapari, Rahmat, Salleh, Siti Aekbal

“…Effective prediction of Aedes mosquito abundance and dengue risk indicators such as the Aedes Index (AI) and Dengue Positive Trap Index (DPTI) is essential for early intervention and targeted vector control. …”
Get full text
Get full text
Get full text

Risk perception modeling based on physiological and emotional responses / Ding Huizhe by Ding , Huizhe

“…Therefore, accurate risk perception has become vital. This research aims to develop models for objectively assessing perceived risk. …”
Get full text
Get full text
Get full text

Predictive Modelling of Stroke Occurrence among Patients using Machine Learning by Sures, Narayasamy, Thilagamalar, Maniam

“…Advanced machine learning algorithms, including logistic regression, decision trees, random forests, and support vector machines, were utilized to analyses the dataset and develop a predictive model. …”
Get full text
Get full text
Get full text
Get full text

Development of reliability-centered maintenance model using linguistic failure mode and effect analysis by Mohammed Ahmed Qaid, Alrifaey Moath

“…In the proposed RCM model, linguistic failure mode and effect analysis (LFMEA) was used to identify and prioritize the risk weight of FMs in the first section. …”
Get full text
Get full text

Review and analysis of risk factor of maternal health in remote area using the Internet of Things (IoT) by Marzia, Ahmed, Kashem, Mohammod Abul, Rahman, Mostafijur, Sabira, Khatun

“…This research intended to use machine learning algorithms for discovering the risk level on the basis of risk factors in pregnancy. …”
Get full text
Get full text
Get full text
Get full text

Time-Uncertainty Analysis by Using Simulation in Project Scheduling Networks by Mohammed Omer, Anwar

“…It is a formal orderly process for systematically identifying, analysing and responding to risks associated with construction projects so as to reduce the effects of these risks to an acceptable level. …”
Get full text
Get full text

Lithium-Ion Battery Charge Equalization Algorithm for Electric Vehicle Applications by Hannan M.A., Hoque M.M., Peng S.E., Uddin M.N.

Prediction of UiTM student academic performance using Naive Bayes algorithm / Muhammad Irfan Zahin Jailani by Jailani, Muhammad Irfan Zahin

“…With the help of customized interventions and early identification of at-risk pupils, the proposed approach seeks to increase graduation rates and overall achievement.The main objectives of this study include studying the Naive Bayes algorithm in student academic performance prediction, designing and developing a student academic performance prediction model utilizing Naive Bayes, and evaluating the accuracy of the prediction prototype using the developed model. …”
Get full text
Get full text

Radiation dose, cancer risk and diagnostic performance of computed tomography pulmonary angiography examination by Haspi Harun, Hanif

“…Concerns towards high radiation dose and cancer risk from Computed Tomography Pulmonary Angiography (CTPA) examinations have prompted efforts to develop a novel optimization while preserving CT image diagnostic performance. …”
Get full text
Get full text