Search Results - (( disaster information data algorithm ) OR ( java application customization algorithm ))

Big data analytics for Flood Information Management in Kelantan, Malaysia by Yusoff A., Din N.M., Yussof S., Khan S.U.

A Query-Driven Spatial Data Warehouse Conceptual Schema For Disaster Management by Kamal Bahrain, Safiza Suhana

“…These problems must be addressed as they are main roadblocks to the process of accessing and retrieving information. The existence of heterogeneous data sources and restricted accessibility to relevant information during a disaster causes several issues with spatial data warehouse design. …”
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Improving Channel Assignment for Vehicular Ad-hoc Sensor Network in Disaster Management System by Chiu Shoon, Sia

“…Due to this, this research focuses on building improved Channel assignments on Vehicular Ad-hoc Sensor Network (VASNET) to investigate the proposed algorithms and methods to improve the reliability of the Disaster Management System (DMS) during emergency operations for natural and man�made disasters. …”
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Infostructure maturity model for disaster management in Malaysia / Aliza Abdul Latif by Abdul Latif, Aliza

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Workload performance evaluation of large spatial database for DSS based disaster management by Rohman, Muhammad Syaifur

“…Workload performance evaluation can be implemented during Disaster Management and especially at the response phase to handle large spatial data in the event of an eruption and in this study it is involves the merapi volcano of Indonesia. …”
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Google the earth: what's next? by Mansor, Shattri

“…Considering the exponential growth of data volumes driven by the rapid progress in sensor and computer technologies in recent years, the future of remotely sensed data should ideally be in automated data processing, development of robust and transferable algorithms and processing chains that require little or no human intervention. …”
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Flood management system: geo based information and monitoring module by Lim, Soo Yi

“…Floods stand as some of the most devastating natural disasters because they provoke enormous damage, the loss of human lives, and the disruption of communities. …”
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Multi-step time series prediction using recurrent kernel online sequential extreme learning machine / Liu Zongying by Liu , Zongying

“…In the on-line learning model, the recursive kernel is also successfully used to generate a fixed reservoir with optimized information by dissipating and overwriting the information from the coming data in the learning part of the prediction model, which is helpful for improvement of forecasting performance. …”
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Development of IoT-based automated dynamic emergency response system against fire incidents in academic building by Al-Hady, Syed Mohammed Zakaria, Islam, Md Rafiqul, Rashid, Muhammad Mahbubur

“…By leveraging the power of IoT technology, machine learning algorithms and BIM, the proposed system aims to reduce the impact of fire disasters by providing accurate and timely information, route optimization and facilitating effective evacuation and rescue efforts. …”
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Optimized routing algorithm for mobile multicast source in Wireless Mesh Networks by Sanni, Mistura Laide, Hassan Abdalla Hashim, Aisha, Hassan, Wan Haslina, Anwar, Farhat, Ahmed, Gharib Subhi Mahmoud

“…Mobile multicast scenarios emerge in group-based distribution of information such as obtains in the health sector, disaster recovery operation, remote bus, train control and video surveillance. …”
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A collaborative model for post flood activities exploiting an enhanced expanding neighborhood search algorithm by Hasan, Md Munirul

“…Among all natural disasters, flood is considered as the most civilization-destroying disaster which causes considerable damage to all life and property. …”
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Extended spatial decision tree algorithm for classifying hotspot occurrence by Sitanggang, Imas Sukaesih

“…The method is an extension of the existing spatial decision tree algorithm which works on polygon features only. The proposed algorithm uses spatial information gain to choose the best splitting layer from a set of explanatory layers. …”
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Social networks content analysis for peacebuilding application by Shaikh, Muniba, Salleh, Norsaremah, Abdullah, Lili Marziana

“…However, the major setback of these SNs is to manage the huge amount of SNs data and to extract the topic specific (Pb related) information. …”
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Sistem navigasi berasaskan algoritma Dijkstra di dalam persekitaran tiga dimensi by Ujang, Muhamad Uznir

“…Dijkstra's algorithm is one of the algorithms that could be used in network analysis process especially for 2D shortest route data. …”
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Weather prediction system using ANN algorithm / Nur Afiqah Ahmad Sukri by Ahmad Sukri, Nur Afiqah

“…The dataset covers the period from 2010 to 2016 and provides essential information for weather analysis and prediction. The data is preprocessed, labeled, and split into training and testing sets which are 80% for training and 20% for testing. …”
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Development an accurate and stable range-free localization scheme for anisotropic wireless sensor networks by Han, Fengrong

“…With the high-speed development of wireless radio technology, numerous sensor nodes are integrated into wireless sensor networks, which has promoted plentiful location-based applications that are successfully applied in various fields, such as monitoring natural disasters and post-disaster rescue. Location information is an integral part of wireless sensor networks, without location information, all received data will lose meaning. …”
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Enhancing obfuscation technique for protecting source code against software reverse engineering by Mahfoudh, Asma

“…The proposed technique can be enhanced in the future to protect games applications and mobile applications that are developed by java; it can improve the software development industry. …”
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Double Deep RL-based strategy for UAV-assisted energy harvesting optimization in disaster-resilient IoT networks by Elmadina, Nahla Nur, Saeed, Rashid A, Saeid, Elsadig, Ali, Elmustafa Sayed, Nafea, Ibtehal, Ahmed, Mayada A, Mokhtar, Rania A, Khalifa, Othman Omran

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Wide area measurement system in the IEEE-14 bus system using multiobjective shortest path algorithm for fault analysis by Awalin, Lilik J., Syahirah, Abd Halim, Jafferi, Jamaludin, Nor Azuana, Ramli

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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. …”