Search Results - (( disaster mitigation using algorithm ) OR ( java application optimisation algorithm ))

A Hybrid K-Means Hierarchical Algorithm for Natural Disaster Mitigation Clustering by Prasetyadi, Abdurrakhman, Nugroho, Budi, Tohari, Adrin

“…Therefore, the proposed hybrid algorithm can provide relatively homogeneous clustering results in natural disaster mitigation.…”
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Study and Implementation of Data Mining in Urban Gardening by Mohana, Muniandy, Lee, Eu Vern

“…The system is essentially a three-part development, utilising Android, Java Servlets, and Arduino platforms to create an optimised and automated urban-gardening system. …”
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Natural disaster mitigation system with an IoT based TTGO T-Call V1.3 ESP32 wireless module microcontroller / Muhammad Fareez Asyraf Istas Fahrurrazi by Fahrurrazi, Muhammad Fareez Asyraf Istas

“…The Natural Disaster Mitigation System project employs the TTGO T-CALL V1.3 ESP32 WIRELESS MODULE MICROCONTROLLER to develop an advanced monitoring system addressing deficiencies in Malaysia's current disaster monitoring infrastructure. …”
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Linear and stratified sampling-based deep learning models for improving the river streamflow forecasting to mitigate flooding disaster by Afan H.A., Yafouz A., Birima A.H., Ahmed A.N., Kisi O., Chaplot B., El-Shafie A.

Integration of GWO-LSSVM for time series predictive analysis by Zuriani, Mustaffa, Mohd Herwan, Sulaiman, Bariah, Yusob, Ernawan, Ferda

“…It is worth noting that, mitigating the effects of floods can be accomplished by using either structural or non-structural measures, or by a combination of both. …”
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Web-based expert system for material selection of natural fiber- reinforced polymer composites by Ahmed Ali, Basheer Ahmed

“…Finally, the developed expert system was deployed over the internet with central interactive interface from the server as a web-based application. As Java is platform independent and easy to be deployed in web based application and accessible through the World Wide Web (www), this expert system can be one stop application for materials selection.…”
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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.

“…These findings are valuable for local government efforts in disaster prevention and mitigation, particularly in the Chamoli District of Uttarakhand, where Geographical Information System (GIS)-based susceptibility mapping plays a critical role in identifying vulnerable areas. …”

Debris flow susceptibility areas identification in Bukit Kachi, Sintok, Kedah using Flow R Software / Nursyamimi Che Daud by Che Daud, Nursyamimi

“…The propagation of debris flow is simulated using a spreading algorithm and an energy calculation. …”
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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

“…Experimental results demonstrate the system’s effectiveness in accurately detecting and responding to headwater-related hazards, making it a viable solution for disaster preparedness and mitigation.…”
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Addressing overfitting and overestimation challenges in landslide susceptibility modeling : a case study of Penang Island, Malaysia by Dorothy, Martin Atok, Chai, Soo See

“…The improved accuracy of these algorithms bears immense signifcance, extending to applications in site selection, engineering structure health monitoring, and disaster mitigation, thus elevating the importance of Landslide Susceptibility Maps (LSMs) in safeguarding communities and infrastructure.…”
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Addressing overfitting and overestimation challenges in landslide susceptibility modeling: a case study of Penang Island, Malaysia by Dorothy, Martin Atok, Soo See, Chai

“…The improved accuracy of these algorithms bears immense significance, extending to applications in site selection, engineering structure health monitoring, and disaster mitigation, thus elevating the importance of Landslide Susceptibility Maps (LSMs) in safeguarding communities and infrastructure.…”
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Random Forest and Extreme Gradient Boosting with Bayesian Hyperparameter Optimization for Landslide Susceptibility Mapping in Penang Island, Malaysia by Dorothy, Martin Atok, Soo See, Chai, Kok Luong, Goh, Neha, Gautam, Kim On, Chin

“…For effective site selection, the generated landslide susceptibility maps are significant, infrastructure planning, and disaster mitigation.…”
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Landslide displacement prediction model based on optimal decomposition and deep attention mechanism by Ren, Shuai, Kamarul Hawari, Ghazali, Ji, Yuanfa, Khan, Samra Urooj

“…Landslide displacement forecasting is crucial for disaster prevention and risk management, as it enables timely warnings and effective mitigation strategies. …”
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Modelling of optimized hybrid debris flow using airborne laser scanning data in Malaysia by Lay, Usman Salihu

“…It has therefore, become imperative to explore the nature of the disaster in the tropical Malaysia. The general objective of the study was the development of optimized hybrid debris flow models using airborne laser scanning data and Machine learning algorithms in Malaysia. …”
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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. Integrating AI with hydrological models offers promising advancements in real-time monitoring, infrastructure resilience, and water governance. …”
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Lightweight ECC Based Multifactor Authentication Protocol (LEMAP) for Device to Device Cellular Network by Rashad Mahmood, Saqib, Adnan Shahid, Khan

“…Discrete logarithm analysis shows that LEMAP is more secure compared to current security algorithms or current security algos are used as attacks against LEMAP. …”
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Design And Implementation Of Human Crowd Density Estimation System With Energy Harvesting In Wireless Sensor Network Platform by Fadhlullah, Solahuddin Yusuf

“…These factors are then integrated into the proposed H-CDE algorithm. The H-CDE algorithm and its crowd classification yielded an average of 71.2 % accuracy in identifying the level of crowd density, which is the best compared to other algorithms found in the literature. …”
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Identification of debris flow initiation zones using topographic model and airborne laser scanning data by Lay, Usman Salihu, Pradhan, Biswajeet

“…The result will be of great contribution to the advancement of a broad understanding of the dynamics of debris flows hazard and mitigations at regional level which; that is resourceful for comprehensive slope management for safe urban planning decision-making process and debris flow disaster management.…”
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