Zobrazeno 1 - 10
of 207
pro vyhledávání: '"Aboalsamh, Hatim"'
Online stores and service providers rely heavily on recommendation softwares to guide users through the vast amount of available products. Consequently, the field of recommender systems has attracted increased attention from the industry and academia
Externí odkaz:
http://arxiv.org/abs/2210.07814
Recommender systems have become an essential tool for providers and users of online services and goods, especially with the increased use of the Internet to access information and purchase products and services. This work proposes a novel recommendat
Externí odkaz:
http://arxiv.org/abs/2210.07816
Autor:
Saeed, Fahman, Hussain, Muhammad, Aboalsamh, Hatim A, Adel, Fadwa Al, Owaifeer, Adi Mohammed Al
The prevalence of diabetic retinopathy (DR) has reached 34.6% worldwide and is a major cause of blindness among middle-aged diabetic patients. Regular DR screening using fundus photography helps detect its complications and prevent its progression to
Externí odkaz:
http://arxiv.org/abs/2110.03877
Red-lesions, microaneurysms (MAs) and hemorrhages (HMs), are the early signs of diabetic retinopathy (DR). The automatic detection of MAs and HMs on retinal fundus images is a challenging task. Most of the existing methods detect either only MAs or o
Externí odkaz:
http://arxiv.org/abs/2109.05021
Emotions play a crucial role in human interaction, health care and security investigations and monitoring. Automatic emotion recognition (AER) using electroencephalogram (EEG) signals is an effective method for decoding the real emotions, which are i
Externí odkaz:
http://arxiv.org/abs/1904.13234
In this paper, we have proposed a brain signal classification method, which uses eigenvalues of the covariance matrix as features to classify images (topomaps) created from the brain signals. The signals are recorded during the answering of 2D and 3D
Externí odkaz:
http://arxiv.org/abs/1904.13221
Representation and classification of Electroencephalography (EEG) brain signals are critical processes for their analysis in cognitive tasks. Particularly, extraction of discriminative features from raw EEG signals, without any pre-processing, is a c
Externí odkaz:
http://arxiv.org/abs/1904.13228
The existing automatic fingerprint verification methods are designed to work under the assumption that the same sensor is installed for enrollment and authentication (regular matching). There is a remarkable decrease in efficiency when one type of co
Externí odkaz:
http://arxiv.org/abs/1905.03699
Autor:
Emad-Ul-Haq, Qazi, Hussain, Muhammad, Aboalsamh, Hatim, Bamatraf, Saeed, Malik, Aamir Saeed, Amin, Hafeez Ullah
Human memory -- the learning of new information involves changes at the synaptic level between neurons dedicated for storage of in-formation. Generally, memory is classified as Long-Term Memory and Short-Term Memory. The various types of the memory a
Externí odkaz:
http://arxiv.org/abs/1905.02136
Smartphone based periocular recognition has gained significant attention from biometric research community because of the limitations of biometric modalities like face, iris etc. Most of the existing methods for periocular recognition employ hand-cra
Externí odkaz:
http://arxiv.org/abs/1801.05449