22   Artículos

 
en línea
Theofani Psomouli, Ioannis Kansizoglou and Antonios Gasteratos    
The increase in the concentration of geological gas emissions in the atmosphere and particularly the increase of methane is considered by the majority of the scientific community as the main cause of global climate change. The main reasons that place met... ver más
Revista: Geosciences    Formato: Electrónico

 
en línea
Ansari Saleh Ahmar, Pawan Kumar Singh, R. Ruliana, Alok Kumar Pandey and Stuti Gupta    
The agriculture sector plays an essential function within the Indian economic system. Foodgrains provide almost all the calories and proteins. This paper aims to compare ARIMA, SutteARIMA, Holt-Winters, and NNAR models to recommend an effective model to ... ver más
Revista: Forecasting    Formato: Electrónico

 
en línea
Vikas Tomer and Sachin Sharma    
Malicious attacks are becoming more prevalent due to the growing use of Internet of Things (IoT) devices in homes, offices, transportation, healthcare, and other locations. By incorporating fog computing into IoT, attacks can be detected in a short amoun... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Amira Abdelwahab and Nesma Youssef    
Data mining techniques are useful in discovering hidden knowledge from large databases. One of its common techniques is sequential rule mining. A sequential rule (SR) helps in finding all sequential rules that achieved support and confidence threshold fo... 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
Nasim Ahmed, Andre L. C. Barczak, Mohammad A. Rashid and Teo Susnjak    
Big data frameworks play a vital role in storing, processing, and analysing large datasets. Apache Spark has been established as one of the most popular big data engines for its efficiency and reliability. However, one of the significant problems of the ... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Oscar Rojas, Veronica Gil-Costa and Mauricio Marin    
Web search engines are built from components capable of processing large amounts of user queries per second in a distributed way. Among them, the index service computes the top-k documents that best match each incoming query by means of a document rankin... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Ralf Stemmer, Hai-Dang Vu, Sébastien Le Nours, Kim Grüttner, Sébastien Pillement and Wolfgang Nebel    
Fast yet accurate performance and timing prediction of complex parallel data flow applications on multi-processor systems remains a very difficult discipline. The reason for it comes from the complexity of the data flow applications w.r.t. data dependent... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Cinthya M. França, Rodrigo S. Couto and Pedro B. Velloso    
In an Internet of Things (IoT) environment, sensors collect and send data to application servers through IoT gateways. However, these data may be missing values due to networking problems or sensor malfunction, which reduces applications? reliability. Th... ver más
Revista: Information    Formato: Electrónico

 
en línea
Wolfgang B. Hamer, Tim Birr, Joseph-Alexander Verreet, Rainer Duttmann and Holger Klink    
Real-time identification of the occurrence of dangerous pathogens is of crucial importance for the rapid execution of countermeasures. For this purpose, spatial and temporal predictions of the spread of such pathogens are indispensable. The R package pap... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

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