Search Results - "khan, Jawad"
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Feature Extraction and Classification Methods for Hybrid fNIRS-EEG Brain-Computer Interfaces
Published in Frontiers in human neuroscience (28-06-2018)“…In this study, a brain-computer interface (BCI) framework for hybrid functional near-infrared spectroscopy (fNIRS) and electroencephalography (EEG) for…”
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Decoding of four movement directions using hybrid NIRS-EEG brain-computer interface
Published in Frontiers in human neuroscience (28-04-2014)“…The hybrid brain-computer interface (BCI)'s multimodal technology enables precision brain-signal classification that can be used in the formulation of control…”
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Monkeypox Detection Using CNN with Transfer Learning
Published in Sensors (Basel, Switzerland) (01-02-2023)“…Monkeypox disease is caused by a virus that causes lesions on the skin and has been observed on the African continent in the past years. The fatal consequences…”
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The Adaption of Recent New Concepts in Neural Radiance Fields and Their Role for High-Fidelity Volume Reconstruction in Medical Images
Published in Sensors (Basel, Switzerland) (12-09-2024)“…Volume reconstruction techniques are gaining increasing interest in medical domains due to their potential to learn complex 3D structural information from…”
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Genetic overview of postaxial polydactyly: Updated classification
Published in Clinical genetics (01-01-2023)“…Polydactyly or polydactylism, also known as a hyperdactyly, is a congenital limb defect with various morphologic phenotypes. Apart from physical and functional…”
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Early Detection of Hemodynamic Responses Using EEG: A Hybrid EEG-fNIRS Study
Published in Frontiers in human neuroscience (29-11-2018)“…Enhanced classification accuracy and a sufficient number of commands are highly demanding in brain computer interfaces (BCIs). For a successful BCI, early…”
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How Does Servant Leadership Influences Creativity? Enhancing Employee Creativity via Creative Process Engagement and Knowledge Sharing
Published in Frontiers in psychology (01-07-2022)“…Grounding on social exchange theory and using the creative process engagement as a lens, this article study investigates the influence of servant leadership on…”
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Brain–machine interfaces using functional near-infrared spectroscopy: a review
Published in Artificial life and robotics (01-05-2020)“…Functional near-infrared spectroscopy (fNIRS) is a noninvasive method for acquiring hemodynamic signals from the brain with advantages of portability,…”
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Enhanced Drowsiness Detection Using Deep Learning: An fNIRS Study
Published in IEEE access (2019)“…In this paper, a deep-learning-based driver-drowsiness detection for brain-computer interface (BCI) using functional near-infrared spectroscopy (fNIRS) is…”
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Gamification in hospitality: Enhancing workplace thriving and employee well-being
Published in Acta psychologica (01-06-2024)“…This study examines the effect of gamification on workplace thriving and employee well-being in the hospitality and tourism organizations, investigating the…”
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Attenuation of nociceptive and paclitaxel-induced neuropathic pain by targeting inflammatory, CGRP and substance P signaling using 3-Hydroxyflavone
Published in Neurochemistry international (01-03-2021)“…Paclitaxel is an anti-microtubule agent, most widely used chemotherapeutic agent for the treatment of malignant solid tumors. However, it is associated with…”
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Linking Ethical Leadership to Followers' Knowledge Sharing: Mediating Role of Psychological Ownership and Moderating Role of Professional Commitment
Published in Frontiers in psychology (10-02-2022)“…This study examined (1) the influence of ethical leadership on knowledge sharing, (2) the mediating role of psychological ownership, and (3) the moderating…”
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Sentiment and Context-Aware Hybrid DNN With Attention for Text Sentiment Classification
Published in IEEE access (2023)“…A tremendous amount of unstructured data, such as comments, opinions, and other sorts of data is generated in real-time with the growth of web 2.0. Due to the…”
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Human Activity Recognition based on Deep-Temporal Learning using Convolution Neural Networks Features and Bidirectional Gated Recurrent Unit with Features Selection
Published in IEEE access (01-01-2023)“…Recurrent Neural Networks (RNNs) and their variants have been demonstrated tremendous successes in modeling sequential data such as audio processing, video…”
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Examining the nexus between servant leadership and employee task performance: the moderation mediation model
Published in Humanities & social sciences communications (17-11-2024)“…Despite extensive research on leadership’s role in influencing employee outcomes, there is limited understanding of the specific impact of servant leadership…”
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Pulmonary matrix-derived hydrogels from patients with idiopathic pulmonary fibrosis induce a proinflammatory state in lung fibroblasts in vitro
Published in Molecular biology of the cell (01-08-2024)“…Idiopathic pulmonary fibrosis (IPF), one of the most common forms of interstitial lung disease, is a poorly understood, chronic, and often fatal…”
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Navigating post-pandemic challenges through institutional research networks and talent management
Published in Humanities & social sciences communications (09-09-2024)“…Institutions actively seek global talent to foster innovation in the contemporary landscape of scientific research, education, and technological progress. The…”
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Multiple Brain Tumor Classification with Dense CNN Architecture Using Brain MRI Images
Published in Life (Basel, Switzerland) (01-01-2023)“…Brain MR images are the most suitable method for detecting chronic nerve diseases such as brain tumors, strokes, dementia, and multiple sclerosis. They are…”
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Intelligent Hybrid Feature Selection for Textual Sentiment Classification
Published in IEEE access (2021)“…Sentiment Analysis (SA) aims to extract useful information from online Unstructured User-Generated Contents (UUGC) and classify them into positive and negative…”
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Hybrid Brain-Computer Interface Techniques for Improved Classification Accuracy and Increased Number of Commands: A Review
Published in Frontiers in neurorobotics (24-07-2017)“…In this article, non-invasive hybrid brain-computer interface (hBCI) technologies for improving classification accuracy and increasing the number of commands…”
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