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Now showing items 1301-1310 of 1357
A service computing manifesto: The next 10 years
(
Association for Computing Machinery
, 2017 , Article Review)
Mapping out the challenges and strategies for the widespread adoption of service computing is an important task. Service computing is a key paradigm that offers cross-disciplinary computational abstractions, architectures, ...
An evaluation of image-based structural health monitoring using integrated unmanned aerial vehicle platform
(
John Wiley and Sons Ltd
, 2019 , Article)
Increasing number of skyscrapers along with the large number of tall bridges in the urban setting throughout the world also increases the demand of robust and autonomously controlled structural health monitoring (SHM) in ...
Reliability-aware service provisioning in NFV-enabled enterprise datacenter networks
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
Network Function Visualization (NFV) enables the complete decoupling of Network Functions (NFs) (e.g., firewall, intrusion detection, routing, etc.) from physical middleboxes used to implement service-specific and strictly ...
Handcrafted features with convolutional neural networks for detection of tumor cells in histology images
(
IEEE Computer Society
, 2016 , Conference Paper)
Detection of tumor nuclei in cancer histology images requires sophisticated techniques due to the irregular shape, size and chromatin texture of the tumor nuclei. Some very recently proposed methods employ deep convolutional ...
Your Behavior Signals Your Reliability: Modeling Crowd Behavioral Traces to Ensure Quality Relevance Annotations
(
AAAI Press
, 2018 , Conference Paper)
While peer-agreement and gold checks are well-established methods for ensuring quality in crowdsourced data collection, we explore a relatively new direction for quality control: estimating work quality directly from ...
A self-selective correlation ship tracking method for smart ocean systems
(
MDPI AG
, 2019 , Article)
In recent years, with the development of the marine industry, the ship navigation environment has become more complicated. Some artificial intelligence technologies, such as computer vision, can recognize, track and count ...
Towards NLP-based Semi-automatic Preparation of Content for Language Learning using LingoSnacks m-Learning Platform
(
Institute of information System and Research Center (IISRC)
, 2013 , Article)
Vocabulary growth is an important element for language learning but it requires repeated and varied exposure to the new words and their usage in different context. However preparing suitable learning content for effective ...
Secure and Reliable Resource Allocation and Caching in Aerial-Terrestrial Cloud Networks (ATCNs)
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
Aerial-terrestrial cloud networks (ATCNs), global integration of air and ground communication systems, pave a way for a large set of applications such as surveillance, on-demand transmissions, data-acquisition, and navigation. ...
A Novel Deep Learning Strategy for Classifying Different Attack Patterns for Deep Brain Implants
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
Deep brain stimulators (DBSs), a widely used and comprehensively acknowledged restorative methodology, are a type of implantable medical device which uses electrical stimulation to treat neurological disorders. These devices ...
Adversarial samples on android malware detection systems for IoT systems
(
MDPI AG
, 2019 , Article)
Many IoT (Internet of Things) systems run Android systems or Android-like systems. With the continuous development of machine learning algorithms, the learning-based Android malware detection system for IoT devices has ...