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Routing in wireless multimedia sensor networks: A survey and challenges ahead
Abstract Wireless Multimedia Sensor Networks (WMSNs) have drawn tremendous attention
because of their potential impact on scientific research and their numerous attractive …
because of their potential impact on scientific research and their numerous attractive …
Video captioning with attention-based LSTM and semantic consistency
Recent progress in using long short-term memory (LSTM) for image captioning has
motivated the exploration of their applications for video captioning. By taking a video as a …
motivated the exploration of their applications for video captioning. By taking a video as a …
Energy-efficient offloading for mobile edge computing in 5G heterogeneous networks
Mobile edge computing (MEC) is a promising paradigm to provide cloud-computing
capabilities in close proximity to mobile devices in fifth-generation (5G) networks. In this …
capabilities in close proximity to mobile devices in fifth-generation (5G) networks. In this …
A novel intelligent diagnosis method using optimal LS-SVM with improved PSO algorithm
Aiming at the problem that the most existing fault diagnosis methods could not effectively
recognize the early faults in the rotating machinery, the empirical mode decomposition, fuzzy …
recognize the early faults in the rotating machinery, the empirical mode decomposition, fuzzy …
Incentive-driven energy trading in the smart grid
The smart grid is widely considered as an efficient and intelligent power system. With the aid
of communication technologies, the smart grid can enhance the efficiency and reliability of …
of communication technologies, the smart grid can enhance the efficiency and reliability of …
Energy-saving offloading by jointly allocating radio and computational resources for mobile edge computing
Mobile edge computing (MEC) providing information technology and cloud-computing
capabilities within the radio access network is an emerging technique in fifth-generation …
capabilities within the radio access network is an emerging technique in fifth-generation …
A novel collaborative optimization algorithm in solving complex optimization problems
To overcome the deficiencies of weak local search ability in genetic algorithms (GA) and
slow global convergence speed in ant colony optimization (ACO) algorithm in solving …
slow global convergence speed in ant colony optimization (ACO) algorithm in solving …
Beyond frame-level CNN: saliency-aware 3-D CNN with LSTM for video action recognition
Human activity recognition in videos with convolutional neural network (CNN) features has
received increasing attention in multimedia understanding. Taking videos as a sequence of …
received increasing attention in multimedia understanding. Taking videos as a sequence of …
Two-stream 3-d convnet fusion for action recognition in videos with arbitrary size and length
3-D convolutional neural networks (3-D-convNets) have been very recently proposed for
action recognition in videos, and promising results are achieved. However, existing 3-D …
action recognition in videos, and promising results are achieved. However, existing 3-D …
Joint optimization strategy of computation offloading and resource allocation in multi-access edge computing environment
In order to help user terminal devices (UTDs) efficiently handle computation-intensive and
time-delay sensitive computing task, multi-access edge computing (MEC) has been …
time-delay sensitive computing task, multi-access edge computing (MEC) has been …