Search Results - risk mitigation ((((method algorithm) OR (sensor algorithm))) OR (based algorithm))

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. …”
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Machine learning-based anomaly detection in NFV: a comprehensive survey by Sehar Zehra, Ummay Faseeha, Hassan Jamil Syed, Fahad Samad, Ashraf Osman Ibrahim Elsayed, Anas W. Abulfaraj, Wamda Nagmeldin

“…It proposes the utilization of anomaly detection techniques as a means to mitigate the potential risks of cyber attacks. The research evaluates the strengths and weaknesses of various machine learningbased algorithms for detecting network-based anomalies in NFV networks. …”
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Poverty risk prediction based on socioeconomic factors using machine learning approach by Mohd Zawari, Nur Farhana Adibah

“…This study seeks to develop a predictive model of measuring poverty risk using socioeconomic factors based on a machine learning framework. …”
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Heart disease prediction using artificial neural network with ADAM optimization and harmony search algorithm by Alyaa Ghazi Mohammed, Mohd Zakree Ahmad Nazri

“…This performance is validated through rigorous comparative assessments against various classification algorithms and state-of-the-art methods, revealing notable advantages in terms of predictive precision, computational efficiency, and adaptability to real-world clinical scenarios. …”
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Optimal water supply reservoir operation by leveraging the meta-heuristic Harris Hawks algorithms and opposite based learning technique by Lai V., Huang Y.F., Koo C.H., Ahmed A.N., Sherif M., El-Shafie A.

“…In this study, an attempt via metaheuristic algorithms, namely the Harris Hawks Optimisation (HHO) Algorithm and the Opposite Based Learning of HHO (OBL-HHO) are made to minimise the water deficit as well as mitigate floods at downstream of the Klang Gate Dam (KGD). …”

Modeling Earthquake Bond Prices with Correlated Dual Trigger Indices and the Approximate Solution Using the Monte Carlo Algorithm by Riza Andrian Ibrahim, Sukono, Herlina Napitupulu, Rose Irnawaty Ibrahim

Rockfall hazard assessment based on airborne laser scanning data and GIS in tropical region by Fanos, Ali Mutar

“…In addition, in order to mitigate rockfall hazard, a barrier location was suggested based on less bouncing height and energy. …”
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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

“…By proposing an alternative method to detect in-car-abandoned children's sounds with high accuracy, this research can assist authorities, including the Ministry of Transportation, in implementing effective measures to mitigate the risks associated with this pressing issue. …”
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Mental stress classification based on selected EEG channels using Correlation Coefficient of Hjorth Parameters by Hag, Ala, Fares, Al-Shargie, Handayani, Dini Oktarina Dwi, Houshyar, Asadi

“…Furthermore, CCHP outperformed existing channel selection methods by an impressive 8%. These findings strongly indicate that the CCHP algorithm shows great promise in the design of a wearable application for mental stress detection, utilizing a minimal number of EEG channels.…”
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Water level prediction using various machine learning algorithms: a case study of Durian Tunggal river, Malaysia by Ahmed A.N., Yafouz A., Birima A.H., Kisi O., Huang Y.F., Sherif M., Sefelnasr A., El-Shafie A.

“…A reliable model to predict the changes in the water levels in a river is crucial for better planning to mitigate any risk associated with flooding. In this study, six different Machine Learning (ML) algorithms were developed to predict the river�s water level, on a daily basis based on collected data from 1990 to 2019 which were used to train and test the proposed models. …”

IoT-Based intelligent system for headwater phenomenon detection and alerts using ESP32 / Rozan Boudville … [et al] by Boudville, Rozan, Abdul Wahab, Afif Luqmanulhakim, Wan Zukenani, Wan Izzat Hakimi, Mohd Khelmy, Muhammad Adly Hisyam, Khiruddin, Nur Raihah

“…Headwater phenomena, characterised by rapid increases in river levels and flow velocity, pose significant risks to downstream communities. This study presents an Internet of Things (IoT)-based intelligent monitoring and alert system for detecting headwater phenomena in real time. …”
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XAIRF-WFP: a novel XAI-based random forest classifier for advanced email spam detection by Bouke, Mohamed Aly, Alramli, Omar Imhemed, Abdullah, Azizol

“…However, these algorithms often suffer from the "black box" dilemma, a lack of transparency that hinders their applicability in security contexts where understanding the reasoning behind classifications is essential for effective risk assessment and mitigation strategies. …”
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An analytical tool for computing perimeter based on visual and coordinates analysis by Salim Nasir, Mohd Agos, Sadikin, Zubaidah, Panji, Elaziera, Mohd Rohaidi, Nur Nadhirah, Harun, Nurzalina, Rathi, Sidik

“…Leveraging advanced mathematical algorithms, including a straightforward formula for determining distances between points, PeriGo ensures precise results while mitigating the risk of human error. …”
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Application of Machine Learning and Deep Learning Algorithms for Landslide Susceptibility Assessment in Landslide Prone Himalayan Region by Bhattacharya S., Ali T., Chakravortti S., Pal T., Majee B.K., Mondal A., Pande C.B., Bilal M., Rahman M.T., Chakrabortty R.

“…In recent years, statistical methods and, increasingly, machine learning-based approaches have gained popularity for landslide susceptibility modeling. …”

A new meta‑heuristic optimization‑based MPPT control technique for green energy harvesting from photovoltaic systems under different atmospheric conditions by Kishore, Dokala Janandra Krishna, Mohd Rusllim, Mohamed, Sudhakar, Kumarasamy, Peddakapu, kurukuri

“…Hence, a new metaheuristic method such as an opposition-based equilibrium optimizer (OBEO) algorithm is used in this work for mitigating the oscillations around GMPP. …”
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EDITORIAL: INTEGRATION OF HYDROLOGICAL MODELS AND MACHINE LEARNING TECHNIQUES FOR WATER RESOURCES MANAGEMENT by Ren Jie, Chin, Sai Hin, Lai

“…Machine learning applications extend to flood forecasting, drought risk assessment, and climate change impact analysis, strengthening disaster mitigation efforts. …”
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Electromagnetic fields policy implications for risk assessment by Farag A., Hussain H., Said I., Ahmad A.S.

Digital certificate-based authentication model for enhanced smartphone security / A. H. Azni, Sakiinah Altaf Hussain and Najwa Hayaati Mohd Alwi by Azni, A. H., Altaf Hussain, Sakiinah, Mohd Alwi, Najwa Hayaati

“…The results demonstrate significant improvements in security and ease of implementation compared to traditional authentication methods. Expert reviews agree that the model effectively mitigates unauthorized access risks by strengthening encryption and authentication protocols across its three key phases. …”
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Digital Certificate-based Authentication Model For Enhanced Smartphone Security by Azni Hazlizan Ab Halim, Sakiinah Altaf Hussain, Najwa Hayaati Mohd Alwi

Efficient ML technique in blockchain-based solution in carbon credit for mitigating greenwashing by Raja Segaran, Bama, Mohd Rum, Siti Nurulain, Hafez Ninggal, Mohd Izuan, Mohd Aris, Teh Noranis

“…The rapid growth of carbon credit markets, driven by global efforts to mitigate climate change, highlights the critical need for transparency and accountability—particularly in forest-based carbon offset projects. …”
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