Abstract Methodologies that utilize Deep Learning offer great potential for applications that automatically attempt to generate captions or descriptions about images. Image captioning …
Here, we present pervasive computing technology to determine the wellness of the elderly living independently in their homes. The framework of the intelligent system consists of …
KK Sethi, D Ramesh - The Journal of Supercomputing, 2017 - Springer
Frequent itemset mining is one of the data mining techniques applied to discover frequent patterns, used in prediction, association rule mining, classification, etc. Apriori algorithm is …
S Torabi, F Safi-Esfahani - The Journal of Supercomputing, 2018 - Springer
Scheduling means devoting tasks among computational resources, considering specific goals. Cloud computing is facing a dynamic and rapidly evolving situation. Devoting tasks to …
This paper presents an evaluation of the security quality requirements engineering (SQUARE) method. The evaluation of SQUARE was conducted by its application on the …
In recent times, the wireless sensors and sensors network have been widely used in many applications such as monitoring environmental parameters, monitoring and control of …
C Ramos, CC Liu - IEEE Intelligent Systems, 2011 - ieeexplore.ieee.org
This Guest Editors' Introduction identifies an opportunity for the cross-fertilization between power systems and energy markets researchers and new developments of AI. The articles …
K Katzis, H Ahmadi - Internet of Things (IoT) in 5G Mobile Technologies, 2016 - Springer
This chapter aims at identifying the main design and operation constraints, that smart environments are expected to experience within a 5G wireless/mobile network and how …
S Amirian, Z Wang, TR Taha… - 2018 International …, 2018 - ieeexplore.ieee.org
Deep Learning has dramatically improved the accuracy of image recognition. Image recognition is considered to be one of the most challenging problems in imaging science …