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

Algorithmic Loan Risk Prediction Method Based on PSO-EBGWO-Catboost by Chen, Suihai, Bong, Chih How, Chiu, Po Chan

“…Under the background of big data, it is of practical significance to prevent loan risk by the machine learning algorithm. …”
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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

“…The purpose of this study was, therefore, to develop a clustering-based algorithm to determine falls risk. …”
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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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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

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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Ethnicity and Dietary Practices as Colorectal Cancer Risk Predictors: A Retrospective Case-control Study in Sabah, Malaysia by Wen-Li Tee, Fredie Robinson, Richard Avoi, Prabakaran Dhanaraj, Nirmal Kaur, Nur Hasanah Sanudin

“…This study aimed to assess the risk and protective factors in dietary practices and the inclusion of ethnicity and dietary practices as risk predictors for CRC. …”
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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. …”
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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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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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Time-Uncertainty Analysis by Using Simulation in Project Scheduling Networks by Mohammed Omer, Anwar

“…Risks are inherently present In all construction projects. …”
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Development of an explainable machine learning model for predicting depression in adults with type 2 diabetes mellitus: a cross-sectional SHAP-based analysis of NHANES 2009-2023 by Tang, Yan, Jia, Lei, Zhou, Junjun, Dou, Jin, Qian, Jingjuan, Yi, Xin, Soh, Kim Lam

“…Depression (DEP) is a common yet underdiagnosed comorbidity in adults with type 2 diabetes mellitus (T2DM), worsening glycemic control and increasing complication risk. Practical, interpretable risk tools using routine patient data are limited. …”
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Customer purchase prediction and product recommendations by Wong, Ji Hin

“…The integration of those model offers practical tools to improve the customer engagement and enhance sales performance across various customer groups.…”
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An expert knowledge based decommissioning alternative selection system for fixed oil and gas assets in the South China Sea by Na, K.L., Lee, H.E., Liew, M.S., Wan Abdullah Zawawi, N.A.

“…The model is benchmarked against an actual decommissioning project in Malaysian waters which was based on conventional practices. A comprehensive framework is proposed to establish a practical working philosophy for the developed algorithm. © 2016 Elsevier Ltd…”
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A comparison of decision tree, logistic regression, artificial neural network and random forest algorithms to predict suicidal ideation among young adults in Malaysia by Chan, Sin Yin, Ch’ng, Chee Keong

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Power generation coordination with consideration of shortfall cost using grey wolf optimizer / Nurush Syifaa Anuar by Anuar, Nurush Syifaa

“…Hence, Grey Wolf Optimization (GWO) method has been developed to maximize the profits of the hydro and thermal generators without and with considering the risk. …”
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Personal mobile-health application by Lim, Jeremy Yeu Shuo

“…The Android-based mobile health application will employ ML-driven algorithms to diagnose the risk of chronic diseases, giving users personalized early warnings and proactive health management tools. …”
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Optimizing in-car-abandoned children’s sounds detection using deep learning algorithms / Nur Atiqah Izzati Md Fisol by Md Fisol, Nur Atiqah Izzati

“…To address this problem, an optimized in-car-abandoned children's sounds detection model using deep learning algorithms is proposed. The objective of this study is to develop an accurate and efficient model capable of recognizing the presence of children in cars based on sound data. …”
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Implications of the Middle East Emerging Markets on International Portfolio Diversification by Mansourfar, Gholamreza

“…For the intra-regional investments, the Middle Eastern equity markets provide more portfolio diversification benefits as compared to the emerging and developed equity markets. A vital difference between emerging and developed markets is that developed countries provide the opportunities of selecting the desired investments among a similar set of portfolio risks in both the short and long-term holding periods. …”
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'Chapter 7: Smartphone penetration test: Securing Industry 5.0 mobile applications' in "1st Edition, The Future of Human-Computer Integration Industry 5.0 Technology, Tools, and Al... by Eka Wahyu, Aditya, Nur Haryani, Zakaria, Fazli, Azzali, Mohamad Nazim, Jambli

“…The Future of Human-Computer Integration: Industry 5.0 Technology, Tools, and Algorithms provides a valuable insight into how Industry 5.0 technologies, tools, and algorithms can revolutionise industries and drive innovation. …”
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Adaptive Neuro-Fuzzy Inference System for diagnosis risk in dengue patients by Faisal, T., Taib, M.N., Ibrahim, F.

“…The first model was developed by systematically optimizing the initial ANFIS model parameters while the second model was developed by employing the subtractive clustering algorithm to optimize the initial ANFIS model parameters. …”
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