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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

“…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. …”
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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…”
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Optimizing Visual Sensors Placement with Risk Maps Using Dynamic Programming by Altahir, A.A., Asirvadam, V.S., Sebastian, P., Hamid, N.H.B., Ahmed, E.F.

“…That is, the enhanced efficiency of coverage is obtained by developing a prior grid assessment practice to stress on the security sensitive zones. …”
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Clustering Methods For Cluster-Based Routing Protocols In Wireless Sensor Networks: Comparative Study by Hassan, Ali Abdul Hussian, Md Shah, Wahidah, Jabbar Mohammed, Ali Abdul, Othman, Mohd Fairuz Iskandar

“…These approaches of clustering algorithms whether Distributed, Centralized, or Hybrid are reviewed very well, since the most of clustering algorithms have been developed by many researches based on these approaches. …”
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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. …”
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Fabrication of robotic firefighting by Abdul Rahman, Muhammad Zulqarnain

“…So, the objective of this project is about developing a firefighting robot that can autonomously enter hazardous fire situation without risking any human life, the robot is tasked to detect fire source and efficiently distinguish fire while reducing risks to human responders. …”
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An optimized attack tree model for security test case planning and generation by Omotunde, Habeeb, Ibrahim, Rosziati, Ahmed, Maryam

“…Given the huge risks web applications face due to incessant cyberattacks, a proactive risk strategy such as threat modeling is adopted. …”
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Computational intelligence approach for classification and risk quantification of metabolic syndrome / Habeebah Adamu Kakudi by Habeebah Adamu , Kakudi

“…The proposed GOBAM model was able to diagnose the risk of MetS efficiently with borderline MRF measurements, by utilising a novel risk prediction index that ranged between 0 and 1. …”
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Multi-objective portfolio selection with skewness preference: An application to the stock and electricity markets / Karoon Suksonghong by Karoon, Suksonghong

“…This study develops a single-period model that allows for heterogeneous degree of risk aversion and skewness preference to investigate the impact of skewness preference on the efficient portfolio choice. …”
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Lithium-Ion Battery Charge Equalization Algorithm for Electric Vehicle Applications by Hannan M.A., Hoque M.M., Peng S.E., Uddin M.N.

Artificial Neural Network in Predicting Risk Exposure in Malaysian Shipyard Industry by David Chua, Sing Ngie, Calvin Chin, Yen Chih, Lim, Soh Fong

“…The efficiency of occupational safety and health (OSH) risk prevention depends on the accuracy of predicting risk exposure. …”
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Efficient multi-UAV coordination via rl: joint path planning and task scheduling for post-disaster UAV-assisted MEC systems by Adnan, Mohd Hirzi, Ahmad Zukarnain, Zuriati, Subramaniam, Shamala K.

“…GRLA employs a unified reward matrix that integrates geometric distance, dynamic obstacle risk, and ground-user demand. At the same time, adaptive parameters allow flexible trade-offs between service quality and risk tolerance. …”
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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. …”
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Elicitation of conditional probability table (CPT) for risk analysis of biomass boiler in energy plant by Ahmad Nur Fikry, Zainuddin, Nurul Ain Syuhadah, Mohammad Khorri, Nurul Sa'aadah, Sulaiman, Alaw, Fares Ahmed

“…A holistic probabilistic risk analysis is developed using the Bayesian Belief Network (BBN) to reduce the risk in the boiler system. …”
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Research on risk detection of autonomous vehicle based on rapidly-exploring random tree by Yincong Ma, Lim, Kit Guan, Tan, Min Keng, Sin, Helen Ee Chuo, Ali Farzamnia, Tze, Kenneth Kin Teo

“…Although it has been applied in many fields, there are still some problems, such as low efficiency of path planning and collision risk during driving. …”
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Implications of the Middle East Emerging Markets on International Portfolio Diversification by Mansourfar, Gholamreza

“…For the optimization objective, Multiple-Fitness Function Genetic Algorithm procedures are applied to compute optimal portfolios based on both symmetric and asymmetric risk measurements and the long and short-run behavior of investments are investigated through the dominance of Efficient Frontiers. …”
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Investigate the transcendent adapted of wavelet threshold algorithms for elbow movement by surface EMG signal by Ghapanchizadeh, Hossein, Ahmad, Siti Anom, Ishak, Asnor Juraiza

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Integration of spectroscopy and chemometric analysis for food authentication: a review by Basri, Katrul Nadia

“…The chemometric model can accurately identifyauthentic samples with minimal risk of misclassification. This review presents a comparative synthesis of algorithms for various types of food samples, highlighting the performance of predictive algorithms. …”
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Investigation of Multimodel Ensemble Performance Using Machine Learning Method for Operational Dam Safety by Basri H., Marufuzzaman M., Mohd Sidek L., Ismail N.

“…Hence, consideration of the development of more flexible inflow forecasting systems is needed. …”

Haar cascade algorithm for microsleep detection by Awang, Norkhushaini, Azhar, Ahmad Mirza

“…During the development phase, the system was built in Python using OpenCV and dlib for real-time facial analysis and the Haar Cascade algorithm for efficient facial feature detection. …”
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