تصفح Faculty Contributions حسب الموضوع "Classification accuracy"
السجلات المعروضة 1 -- 15 من 15
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A review of time-frequency matched filter design with application to seizure detection in multichannel newborn EEG
( Elsevier Inc. , 2014 , Article)This paper presents a novel design of a time-frequency (t-f) matched filter as a solution to the problem of detecting a non-stationary signal in the presence of additive noise, for application to the detection of newborn ... -
Active Learning with Noisy Labelers for Improving Classification Accuracy of Connected Vehicles
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Machine learning has emerged as a promising paradigm for enabling connected, automated vehicles to autonomously cruise the streets and react to unexpected situations. Reacting to such situations requires accurate classification ... -
An intelligent and low-cost eye-tracking system for motorized wheelchair control
( MDPI AG , 2020 , Article)In the 34 developed and 156 developing countries, there are ~132 million disabled people who need a wheelchair, constituting 1.86% of the world population. Moreover, there are millions of people suffering from diseases ... -
Authenticity detection as a binary text categorization problem: Application to Hadith authentication
( IEEE Computer Society , 2016 , Conference Paper)Authentication of Hadiths (sayings of Prophet Muhammad) is very important field for religious scholars as well as historians. Authenticity verification is traditionally conducted by studying how trustworthy is each person ... -
Bayesian network based heuristic for energy aware EEG signal classification
( SpringerLink , 2013 , Conference Paper)A major challenge in the current research of wireless electroencephalograph (EEG) sensor-based medical or Brain Computer Interface applications is how to classify EEG signals as accurately and energy efficient as possible. ... -
Design and analysis of an adaptive compressive sensing architecture for epileptic seizure detection
( IEEE Computer Society , 2013 , Conference Paper)Epileptic detection techniques rely heavily on the Electroencephalography (EEG) as a representative signal carrying valuable information pertaining to the current brain state. In this work, we investigate the stability of ... -
Differentiation among stability regimes of alumina-water nanofluids using smart classifiers
( Techno Press , 2022 , Article)Nanofluids have recently triggered a substantial scientific interest as cooling media. However, their stability is challenging for successful engagement in industrial applications. Different factors, including temperature, ... -
EEG feature extraction and selection techniques for epileptic detection: A comparative study
( IEEE Computer Society , 2013 , Conference Paper)Epileptic detection techniques rely heavily on the Electroencephalography (EEG) as representative signal carrying valuable information pertaining to the current brain state. For these techniques to be efficient and reliable, ... -
Evidence theory-based approach for epileptic seizure detection using EEG signals
( IEEE , 2012 , Conference Paper)Electroencephalogram (EEG) is one of the potential physiological signals used for detecting epileptic seizure. Discriminant features, representing different brain conditions, are often extracted for diagnosis purposes. ... -
Multifrequency Polsar Image Classification Using Dual-Band 1D Convolutional Neural Networks
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)In this work, we propose a novel classification approach based on dual-band one-dimensional Convolutional Neural Networks (1D-CNNs) for classification of multifrequency polarimetric SAR (PolSAR) data. The proposed approach ... -
Multispectral biopsy image based colorectal tumor grader
( Springer Verlag , 2017 , Conference Paper)Automated tumor cell grading systems have an immense potential in improving the speed and accuracy of cancer diagnostic procedures. It can boost the confidence level of pathologists who perform the manual assessment of ... -
Novel Actuator Fault Diagnosis Framework for Multizone HVAC Systems Using 2-D Convolutional Neural Networks
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Heating, ventilation, and air conditioning (HVAC) systems are used to condition the indoor environment in buildings. They can be subjected to malfunctioning since they are the most extensively operated buildings' components ... -
Performance Comparison of classification algorithms for EEG-based remote epileptic seizure detection in Wireless Sensor Networks
( IEEE Computer Society , 2014 , Conference Paper)Identification of epileptic seizure remotely by analyzing the electroencephalography (EEG) signal is very important for scalable sensor-based health systems. Classification is the most important technique for wide-ranging ... -
Privacy-Preserving Distributed IDS Using Incremental Learning for IoT Health Systems
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Existing techniques for incremental learning are computationally expensive and produce duplicate features leading to higher false positive and true negative rates. We propose a novel privacy-preserving intrusion detection ... -
Round-Robin sequential forward selection algorithm for prostate cancer classification and diagnosis using multispectral imagery
( Springer , 2011 , Article)This paper proposes an automatic classification system for the use in prostate cancer diagnosis. The system aims to detect and classify prostatic tissue textures captured from microscopic samples taken from needle biopsies. ...