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Machine Learning-Based Techniques for Forecasting Emergency Department Peak Load Due to Respiratory Diseases Patients
(2017-08)
Chronic Respiratory diseases, mainly asthma and Chronic Obstructive Pulmonary Disease (COPD), affect the lives of people by limiting their activities in various aspects. Overcrowding of hospital emergency departments (EDs) ...
Activity Recognition in Videos Using Deep Learning
(2018-05)
Automatically recognizing activities in a video is a long standing goal of computer vision
and artificial intelligence. Recently, breakthroughs in deep learning have revolutionized the
field of computer vision and today ...
Robust acoustic modeling and front-end design for distant speech recognition
(2017-12)
In recent years, there has been a significant increase in the popularity of voice-enabled technologies which use human speech as the primary interface with machines. Recent advancements in acoustic modeling and feature ...
Predictable GPGPU Computing in DNN-Driven Autonomous Systems
(2018-12)
Graphics processing units (GPUs) are being widely used as co-processors in many domains to
accelerate general-purpose workloads that are data-parallel and computationally intensive, i.e.,
GPGPU. An emerging usage domain ...
Machine Learning Solutions for Emotional Speech: Exploiting the Information of Individual Annotations
(2018-05)
Speech emotion recognition solutions designed under controlled conditions do not translate well into real-life applications. The first step to address this issue is developing a large, natural emotional database. Current ...
FPGA Implementation of Reduced Precision Convolutional Neural Networks
(2018-08)
With the improvement in processing systems, machine learning applications are finding
widespread use in almost all sectors of technology. Image recognition is one application of
machine learning which has become widely ...
Study of Real-Time Facial Expression Recognition on Noisy Images and Videos
(2018-12)
Automatic facial expression recognition (FER) and emotion recognition have aroused many
researchers’ interest in a variety of research fields because of an important role in human
centered interfaces and the advent of ...
Advances in Audiovisual Speech Processing for Robust Voice Activity Detection and Automatic Speech Recognition
(2018-12)
Speech processing systems are widely used in existing commercial applications, including
virtual assistants in smartphones and home assistant devices. Speech-based commands provide convenient hands-free functionality for ...
Supervised Battery Capacity Estimation
(2019-05)
Evaluation of capacity fade in Li-ion batteries in the ballparks of energy research has assumed
significant importance in recent times extensively owing to growing demand and need for
portable power supplies and electric ...
Deep Neural Networks and Model-Based Approaches for Robust Speaker Diarization in Naturalistic Audio Streams
(2019-08)
Speaker diarization is an unsupervised task that determines "who spoke and when" within
input audio stream. It consists of four sub-systems: (i) speech activity detection (SAD);
(ii) speaker segmentation and modeling; ...