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السجلات المعروضة 911 -- 920 من 995
Hypertension Prediction Using Optimal Random Forest and Real Medical Data
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Conference Paper)
Long-lasting and difficult-to-treat, hypertension frequently leads to serious and life-threatening diseases. As a result, early risk assessment and prevention of hypertension are crucial. The majority of research currently ...
Data Mining, Reasoning and Incremental Information Retrieval through Non Enlargeable Rectangular Relation Coverage
(
Springer Berlin / Heidelberg
, 2009 , Conference Paper)
Association rules extraction from a binary relation as well as reasoning and information retrieval are generally based on the initial representation of the binary relation as an adjacency matrix. This presents some ...
RL-Assisted Energy-Aware User-Edge Association for IoT-based Hierarchical Federated Learning
(2022 , Conference Paper)
The extremely heavy global reliance on IoT devices is causing enormous amounts of data to be gathered and shared in IoT networks. Such data need to efficiently be used in training and deploying of powerful artificially ...
A novel mechanism for restoring actor connected coverage in wireless sensor and actor networks
(
Institute of Electrical and Electronics Engineers Inc.
, 2015 , Conference Paper)
Provisioning network survivability is especially crucial in wireless sensor and actor network (WSAN) because nodes deployed in hostile environments are prone to frequent failures. Failure of an actor significantly impact ...
Visualization of faces from surveillance videos via face hallucination
(
Institute of Electrical and Electronics Engineers Inc.
, 2014 , Conference Paper)
Face hallucination can be a useful tool for visualizing a low quality face into a visually better quality, making it an attractive technology for many applications. While faces in surveillance videos are usually at very ...
DistPrivacy: Privacy-Aware Distributed Deep Neural Networks in IoT surveillance systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
With the emergence of smart cities, Internet of Things (IoT) devices as well as deep learning technologies have witnessed an increasing adoption. To support the requirements of such paradigm in terms of memory and computation, ...
QoE-Aware Resource Allocation for Crowdsourced Live Streaming: A Machine Learning Approach
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Conference Paper)
Driven by the tremendous technological advancement of personal devices and the prevalence of wireless mobile network accesses, the world has witnessed an explosion in crowdsourced live streaming. Ensuring a better viewers ...
Measuring and optimising performance of an offline text writer identification system in terms of dimensionality reduction techniques
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
Usually, most of the data generated in real-world such as images, speech signals, or fMRI scans has a high dimensionality. Therefore, dimensionality reduction techniques can be used to reduce the number of variables in ...
Stain deconvolution of histology images via independent component analysis in the wavelet domain
(
IEEE Computer Society
, 2016 , Conference Paper)
With the ubiquity of digital slide scanners, histology image analysis is rapidly emerging as an active area of research. Several histology image analysis algorithms such as those for mitotic cell detection, nuclei segmentation ...
Automatic handedness detection from off-line handwriting
(
IEEE
, 2013 , Conference Paper)
In forensics, the handedness detection or the classification of writers into left or right-handed helps investigators focusing more on a certain category of suspects. However, only a few studies have been carried out in ...