College of Engineering: المرسلات الحديثة
السجلات المعروضة 2101 -- 2120 من 8959
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Incorporating haptic and olfactory into surgical simulation
( IEEE Computer Society , 2013 , Conference)Recently, surgical simulation is a widely used method to train surgeons on specific surgeries due to the fact that it helps reducing surgical errors. Available surgical simulations lack realism since they only incorporate ... -
Incorporating olfactory into a multi-modal surgical simulation
( Maruzen Co., Ltd. , 2014 , Article)This paper proposes a novel multimodal interactive surgical simulator that incorporates haptic, olfactory, as well as traditional vision feedback. A scent diffuser was developed to produce odors when errors occur. Haptic ... -
Spiroraslaser: An interactive visual art system using hybrid raster-laser projection
( Inderscience Publishers , 2011 , Article)This paper explores the possibility of generating visual imagery in a highly interactive environment on the basis of hand position and acceleration. We present a new display method called hybrid raster-laser projection for ... -
Piton: Investigating the Controllability of a Wearable Telexistence Robot
( MDPI , 2022 , Article)The COVID-19 pandemic impacted collaborative activities, travel, and physical contact, increasing the demand for real-time interactions with remote environments. However, the existing remote communication solutions provide ... -
Modeling and forecasting electricity consumption amid the COVID-19 pandemic: Machine learning vs. nonlinear econometric time series models
( Elsevier , 2023 , Article)Accurately modeling and forecasting electricity consumption remains a challenging task due to the large number of the statistical properties that characterize this time series such as seasonality, trend, sudden changes, ... -
A novel deep learning technique for morphology preserved fetal ECG extraction from mother ECG using 1D-CycleGAN
( Elsevier , 2024 , Article)The non-invasive fetal electrocardiogram (fECG) enables easy detection of developing heart abnormalities, leading to a significant reduction in infant mortality rate and post-natal complications. Due to the overlapping of ... -
Recent progress in generative adversarial networks applied to inversely designing inorganic materials: A brief review
( Elsevier B.V. , 2022 , Article Review)Generative adversarial networks (GANs) are deep generative models (GMs) that have recently attracted attention owing to their impressive performance in generating completely novel images, text, music, and speech. Recently, ... -
Machine learning for prediction of the uniaxial compressive strength within carbonate rocks
( Springer Science and Business Media Deutschland GmbH , 2023 , Article)The Uniaxial Compressive Strength (UCS) is an essential parameter in various fields (e.g., civil engineering, geotechnical engineering, mechanical engineering, and material sciences). Indeed, the determination of UCS in ... -
Representation based regression for object distance estimation
( Elsevier , 2023 , Article)In this study, we propose a novel approach to predict the distances of the detected objects in an observed scene. The proposed approach modifies the recently proposed Convolutional Support Estimator Networks (CSENs). CSENs ... -
Global ECG Classification by Self-Operational Neural Networks with Feature Injection
( IEEE Computer Society , 2023 , Article)Objective: Global (inter-patient) ECG classification for arrhythmia detection over Electrocardiogram (ECG) signal is a challenging task for both humans and machines. Automating this process with utmost accuracy is, therefore, ... -
Zero-shot transfer learning for structural health monitoring using generative adversarial networks and spectral mapping
( Elsevier , 2023 , Article)Gathering properly labeled, adequately rich, and case-specific data for successfully training a purely data-driven or hybrid model for structural health monitoring (SHM) applications is a challenging task. We posit that a ... -
SELF-ORGANIZED RESIDUAL BLOCKS FOR IMAGE SUPER-RESOLUTION
( IEEE Computer Society , 2021 , Conference)It has become a standard practice to use the convolutional networks (ConvNet) with RELU non-linearity in image restoration and super-resolution (SR). Although the universal approximation theorem states that a multi-layer ... -
Early Myocardial Infarction Detection with One-Class Classification over Multi-view Echocardiography
( IEEE Computer Society , 2022 , Conference)Myocardial infarction (MI) is the leading cause of mortaZity and morbidity in the world. Early therapeutics of MI can ensure the prevention of further myocardial necrosis. Echocardiography is the fundamental imaging technique ... -
SELF-ORGANIZED VARIATIONAL AUTOENCODERS (SELF-VAE) FOR LEARNED IMAGE COMPRESSION
( IEEE Computer Society , 2021 , Conference)In end-to-end optimized learned image compression, it is standard practice to use a convolutional variational autoencoder with generalized divisive normalization (GDN) to transform images into a latent space. Recently, ... -
Improved Domain Adaptation Approach for Bearing Fault Diagnosis
( IEEE Computer Society , 2022 , Conference)Application of domain adaptation techniques to predictive maintenance of modern electric rotating machinery (RM) has significant potential with the goal of transferring or adaptation of a fault diagnosis model developed ... -
SRL-SOA: SELF-REPRESENTATION LEARNING WITH SPARSE 1D-OPERATIONAL AUTOENCODER FOR HYPERSPECTRAL IMAGE BAND SELECTION
( IEEE Computer Society , 2022 , Conference)The band selection in the hyperspectral image (HSI) data processing is an important task considering its effect on the computational complexity and accuracy. In this work, we propose a novel framework for the band selection ... -
BM3D VS 2-LAYER ONN
( IEEE Computer Society , 2021 , Conference)Despite their recent success on image denoising, the need for deep and complex architectures still hinders the practical usage of CNNs. Older but computationally more efficient methods such as BM3D remain a popular choice, ... -
Powerline interference suppression of a textile-insulated capacitive biomedical sensor using digital filters
( Elsevier , 2023 , Article)This research evaluated a textile-insulated capacitive (TEX-C) biomedical sensor insulated by six types of textile materials namely cotton, linen, rayon, nylon, polyester, and PVC-textile. Each textile material creates a ... -
D2DLive: Iterative live video streaming algorithm for D2D networks
( Elsevier , 2023 , Article)Smart healthcare system incorporates new technologies making healthcare more efficient and more convenient. Virtual consultations provide interactions with healthcare professionals via video technology, which lessens the ... -
Medical image analysis
( Elsevier , 2022 , Book chapter)This chapter presents deep learning methodologies for medical imaging tasks. The chapter starts with echocardiography for early detection of myocardial infarction (MI) or commonly known as heart attack. Early and fundamental ...
