Irfan Mehmood
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View article: EEG neural indicator of temporal integration in the human auditory brain with clinical implications
EEG neural indicator of temporal integration in the human auditory brain with clinical implications Open
Temporal integration, the process by which the auditory system combines sound information over a certain period to form a coherent auditory experience, is essential for auditory perception, yet its neural mechanisms remain underexplored. W…
View article: Leg Length Discrepancy After Total HIP Replacement
Leg Length Discrepancy After Total HIP Replacement Open
Background: Discrepancy of lower limb length after total hip arthroplasty is a frequent complication that potentially affects postoperative success. Although a number of studies have reported on factors that affect LLD, gender and preopera…
View article: Temporal merging into pitch with click train in the macaque auditory cortex
Temporal merging into pitch with click train in the macaque auditory cortex Open
Temporal integration stands as a cornerstone of auditory perception, yet its underlying neural mechanisms have remained relatively elusive. The intricate process by which discrete auditory stimuli integrate into cohesive perception is defi…
View article: Hierarchical Encoding of Millisecond-Scale Temporal Configuration of Sound in the Mammalian Auditory Pathway
Hierarchical Encoding of Millisecond-Scale Temporal Configuration of Sound in the Mammalian Auditory Pathway Open
Natural sounds are defined not only by their spectral content but also by their fine temporal structure. Here we show that millisecond-scale temporal configuration—defined by the ordering of inter-click intervals (ICIs) within a click trai…
View article: A signal of temporal integration in the human auditory brain: psychological insights, EEG evidence, and clinical application
A signal of temporal integration in the human auditory brain: psychological insights, EEG evidence, and clinical application Open
Temporal integration, the process by which the auditory system combines sound information over a curtain period to form a coherent auditory object, is essential for coherent auditory perception, yet its neural mechanisms remain underexplor…
View article: A new function of offset response in the primate auditory cortex: marker of temporal integration
A new function of offset response in the primate auditory cortex: marker of temporal integration Open
Offset responses are traditionally viewed as indicators of sound cessation. Here, we investigate offset responses to auditory click trains, examining how they are modulated by inter-click intervals (ICIs) and train duration. Using extracel…
View article: Sibling Discrimination Using Linear Fusion on Deep Learning Face Recognition Models
Sibling Discrimination Using Linear Fusion on Deep Learning Face Recognition Models Open
Facial recognition technology has revolutionised human identification, providing a non-invasive alternative to traditional biometric methods like signatures and voice recognition. The integration of deep learning has significantly enhanced…
View article: Leveraging Augmented Reality, Semantic-Segmentation, and VANETs for Enhanced Driver’s Safety Assistance
Leveraging Augmented Reality, Semantic-Segmentation, and VANETs for Enhanced Driver’s Safety Assistance Open
Overtaking is a crucial maneuver in road transportation that requires a clear view of the road ahead.However, limited visibility of ahead vehicles can often make it challenging for drivers to assess the safety of overtaking maneuvers, lead…
View article: Editorial on the Special Issue: New Trends in Image Processing III
Editorial on the Special Issue: New Trends in Image Processing III Open
The image processing field is undergoing a significant transformation owing to rapid advancements in deep learning, computer vision, and artificial intelligence [...]
View article: The attributes of love: a comparative study of Saint John of the Cross and Shah Abdul Latif Bhittai
The attributes of love: a comparative study of Saint John of the Cross and Shah Abdul Latif Bhittai Open
This comparative study is an effort to determine something of the notion of love between two of the great mystical poets, that is, Saint John of the Cross and Shah Abdul Latif Bhittai. There are a few distinctions in their other worldly vi…
View article: Machine learning based small bowel video capsule endoscopy analysis: Challenges and opportunities
Machine learning based small bowel video capsule endoscopy analysis: Challenges and opportunities Open
Video capsule endoscopy (VCE) is a revolutionary technology for the early diagnosis of gastric disorders. However, owing to the high redundancy and subtle manifestation of anomalies among thousands of frames, the manual construal of VCE vi…
View article: An autonomous decision-making framework for gait recognition systems against adversarial attack using reinforcement learning
An autonomous decision-making framework for gait recognition systems against adversarial attack using reinforcement learning Open
Gait identification based on Deep Learning (DL) techniques has recently emerged as biometric technology for surveillance. We leveraged the vulnerabilities and decision-making abilities of the DL model in gait-based autonomous surveillance …
View article: Analyzing the Stock Exchange Markets of EU Nations: A Case Study of Brexit Social Media Sentiment
Analyzing the Stock Exchange Markets of EU Nations: A Case Study of Brexit Social Media Sentiment Open
Stock exchange analysis is regarded as a stochastic and demanding real-world setting in which fluctuations in stock prices are influenced by a wide range of aspects and events. In recent years, there has been a great deal of interest in so…
View article: An Automated Real-Time Face Mask Detection System Using Transfer Learning with Faster-RCNN in the Era of the COVID-19 Pandemic
An Automated Real-Time Face Mask Detection System Using Transfer Learning with Faster-RCNN in the Era of the COVID-19 Pandemic Open
Today, due to the pandemic of COVID-19 the entire world is facing a serious health crisis. According to the World Health Organization (WHO), people in public places should wear a face mask to control the rapid transmission of COVID-19. The…
View article: A Study of Deep Learning-Based Face Recognition Models for Sibling Identification
A Study of Deep Learning-Based Face Recognition Models for Sibling Identification Open
Accurate identification of siblings through face recognition is a challenging task. This is predominantly because of the high degree of similarities among the faces of siblings. In this study, we investigate the use of state-of-the-art dee…
View article: An Efficient DA-Net Architecture for Lung Nodule Segmentation
An Efficient DA-Net Architecture for Lung Nodule Segmentation Open
A typical growth of cells inside tissue is normally known as a nodular entity. Lung nodule segmentation from computed tomography (CT) images becomes crucial for early lung cancer diagnosis. An issue that pertains to the segmentation of lun…
View article: A Residual-Learning-Based Multi-Scale Parallel-Convolutions- Assisted Efficient CAD System for Liver Tumor Detection
A Residual-Learning-Based Multi-Scale Parallel-Convolutions- Assisted Efficient CAD System for Liver Tumor Detection Open
Smart multimedia-based medical analytics and decision-making systems are of prime importance in the healthcare sector. Liver cancer is commonly stated to be the sixth most widely diagnosed cancer and requires an early diagnosis to help wit…
View article: Alzheimer Disease Detection Techniques and Methods: A Review.
Alzheimer Disease Detection Techniques and Methods: A Review. Open
Brain pathological changes linked with Alzheimer's disease (AD) can be measured with Neuroimaging. In the past few years, these measures are rapidly integrated into the signatures of Alzheimer disease (AD) with the help of classification f…
View article: An Efficient False-Positive Reduction System for Cerebral Microbleeds Detection
An Efficient False-Positive Reduction System for Cerebral Microbleeds Detection Open
Cerebral Microbleeds (CMBs) are microhemorrhages caused by certain abnormalities of brain vessels. CMBs can be found in people with Traumatic Brain Injury (TBI), Alzheimer's disease, and in old individuals having a brain injury. Current re…
View article: A Smart Surveillance System for Uncooperative Gait Recognition Using Cycle Consistent Generative Adversarial Networks (CCGANs)
A Smart Surveillance System for Uncooperative Gait Recognition Using Cycle Consistent Generative Adversarial Networks (CCGANs) Open
Surveillance remains an important research area, and it has many applications. Smart surveillance requires a high level of accuracy even when persons are uncooperative. Gait Recognition is the study of recognizing people by the way they wa…
View article: An LSTM Based Forecasting for Major Stock Sectors Using COVID Sentiment
An LSTM Based Forecasting for Major Stock Sectors Using COVID Sentiment Open
Stock market forecasting is an important research area, especially for better business decision making. Efficient stock predictions continue to be significant for business intelligence. Traditional short-term stock market forecasting is us…
View article: Multi-Modal Data Analysis Based Game Player Experience Modeling Using LSTM-DNN
Multi-Modal Data Analysis Based Game Player Experience Modeling Using LSTM-DNN Open
Game player modeling is a paradigm of computational models to exploit players’ behavior and experience using game and player analytics. Player modeling refers to descriptions of players based on frameworks of data derived from the interact…
View article: An Efficient Gait Recognition Method for Known and Unknown Covariate Conditions
An Efficient Gait Recognition Method for Known and Unknown Covariate Conditions Open
Gait is a unique non-invasive biometric form that can be utilized to effectively recognize persons, even when they prove to be uncooperative. Computer-aided gait recognition systems usually use image sequences without considering covariate…
View article: An Optimisation Model for Designing Social Distancing Enhanced Physical Spaces
An Optimisation Model for Designing Social Distancing Enhanced Physical Spaces Open
In the wake of the COVID-19 pandemic, social distancing has become an essential element of our daily lives. As a result, the development of technological solutions for the design and re-design of physical spaces with the necessary physical…