10   Artículos

 
en línea
Nasser Lotfi and Mazyar Ghadiri Nejad    
Multi-objective task graph scheduling is a well-known NP-hard problem that plays a significant role in heterogeneous distributed systems. The solution to the problem is expected to optimize all scheduling objectives. Pretty large state-of-the-art algorit... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Jan Strappa, Paola Caymes-Scutari and Germán Bianchini    
The problem of wildfire spread prediction presents a high degree of complexity due in large part to the limitations for providing accurate input parameters in real time (e.g., wind speed, temperature, moisture of the soil, etc.). This uncertainty in the ... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Yao-Hua Ho and Yu-Jung Tsai    
Climate-related natural disasters have affected the lives of thousands of people. Global warming creates warmer and drier conditions which increase the risk of wildfires. In large-scale disasters such as wildfires, search and rescue (SAR) operations beco... ver más
Revista: Drones    Formato: Electrónico

 
en línea
Taylor Petty, Jan Hannig, Tunde I. Huszar and Hari Iyer    
String edit distances have been used for decades in applications ranging from spelling correction and web search suggestions to DNA analysis. Most string edit distances are variations of the Levenshtein distance and consider only single-character edits. ... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Fatma S. Alrayes, Saud S. Alotaibi, Khalid A. Alissa, Mashael Maashi, Areej Alhogail, Najm Alotaibi, Heba Mohsen and Abdelwahed Motwakel    
Unmanned Aerial Vehicles (UAVs), or drones, provided with camera sensors enable improved situational awareness of several emergency responses and disaster management applications, as they can function from remote and complex accessing regions. The UAVs c... ver más
Revista: Drones    Formato: Electrónico

 
en línea
Iurii Katser, Viacheslav Kozitsin, Victor Lobachev and Ivan Maksimov    
Offline changepoint detection (CPD) algorithms are used for signal segmentation in an optimal way. Generally, these algorithms are based on the assumption that signal?s changed statistical properties are known, and the appropriate models (metrics, cost f... ver más
Revista: Applied Sciences    Formato: Electrónico

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