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Predicting Hypoglycemia in Diabetic Patients using Machine Learning Techniques
(2014-06)
Diabetes is a chronic disease that needs continuous blood glucose monitoring and self-management. The improper control of blood glucose levels in diabetic patients can lead to serious complications such as kidney and heart ...
Semi-supervised Clustering of Facial Expressions
(2017-11)
Automated facial expressions recognition (FER) is an important area in computer vision and machine learning due to its eminent role in human-machine interaction. FER is key in building intelligent user interfaces, particularly ...
Predicting Split Decisions in MPEG-2 to HEVC Video Transcoding
(Springer, 2020)
This paper proposes learning-based approaches for transcoding MPEG-2 video into HEVC. In the training mode of the transcoder, mappings between extracted features and split decisions are calculated. While in the transcoding ...
A regression-based framework for estimating the objective quality of HEVC coding units and video frames
(Elsevier, 2015-05)
A no-reference objective quality estimation framework is proposed. The framework is suitable for any block-based video codec. In the proposed solution, features are extracted from coding units and summarized to form features ...
H.264/AVC Motion Vector Concealment Solutions Using Online and Offline Polynomial Regression
(Springer, 2015)
This paper introduces two polynomial regression solutions for error concealment by predicting the values of motion vectors of lost macroblocks. The two solutions are online and offline polynomial regression modeling. In ...
MPEG-2 to HEVC Video Transcoding With Content-Based Modeling
(IEEE, 2013)
This paper proposes an efficient MPEG-2 to HEVC video transcoder. The objective of the transcoder is to migrate the abundant MPEG-2 video content to the emerging HEVC video coding standard. The transcoder introduces a ...
FPGA-Based Network Traffic Classification Using Machine Learning
(2019-11)
Traffic classification is the process of associating network traffic with the application or group of applications that generated it. It is an essential part of network management at datacentres and network operators due ...
Distinguishing Between Fake and Real Smiles Using EEG Signals and Deep Learning
(2020-04)
Genuineness of smiles is one aspect of the field of deception recognition, one that is prevalent in myriad social situations, and it is not easy to tell when a person’s smile is genuine or not for the average person. Machine ...
Predicting Compression Modes and Split Decisions for HEVC Video Coding Using Machine Learning Techniques
(2017-05)
The High Efficiency Video Coding (HEVC) standard presents a substantial video compression efficiency improvement at the expense of increasing the computational complexity. This enhancement is primarily due to the introduction ...
H.264/AVC to HEVC Video Transcoder Based on Dynamic Thresholding and Content Modeling
(IEEE, 2014)
The new video coding standard, HEVC, was developed to succeed the current standard, H.264/AVC, as the state of the art in video compression. However, there is a lot of legacy content encoded with H.264/AVC. This paper ...