College of Engineering: المرسلات الحديثة
السجلات المعروضة 2021 -- 2040 من 8871
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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 ... -
Real-Time and Web-Based Structural Damage Detection Network for Multiple Structures
( Springer , 2023 , Conference)A structural damage detection system specifically designed to monitor multiple structures at a network level is introduced in this paper. Such a monitoring system improves resiliency and helps manage the operation and ... -
Classification of SAR Images Using Compact Convolutional Neural Networks
( Springer , 2022 , Book chapter)Classification of SAR images has been an interesting task considering its major role in environmental and natural research areas. Existing studies proposed for Land use/land cover (LU/LC) classification using SAR data can ... -
Brain Tumor Segmentation and Classification from Sensor-Based Portable Microwave Brain Imaging System Using Lightweight Deep Learning Models
( MDPI , 2023 , Article)Automated brain tumor segmentation from reconstructed microwave (RMW) brain images and image classification is essential for the investigation and monitoring of the progression of brain disease. The manual detection, ... -
Polyvinylpyridine–carbon dots composite-based novel humidity sensor
( Springer , 2023 , Article)This work describes the rational design of thin films based on PVP-modified carbon dots for potential resistive humidity sensing application, prepared via spin coating on ITO substrates. The modified carbon dots were ... -
A blockchain-based framework to optimize shipping container flows in the hinterland
(2023 , Article)We address two interrelated issues affecting the hinterland portion of the maritime container supply chain: reducing the movement of empty containers and reducing empty trips by trucks carrying these containers. In this ... -
Design of composite rectangular tubes for optimum crashworthiness performance via experimental and ANN techniques
( Elsevier Ltd , 2022 , Article)This paper examines the crashworthiness performance of composite rectangular tubes using experimental and artificial neural network (ANN) techniques. Based on experimentally obtained values of different crashworthiness ... -
Generic approach of using dynamic simulation for industrial emission reduction under abnormal operations: Scenario study of an ethylene plant start-up
( American Chemical Society , 2014 , Article)Flare minimization under normal and abnormal operating conditions in large-scale industrial processes, especially for refineries and petrochemical plants, is a double-win practice, which simultaneously benefits industrial ... -
Data-driven modeling to predict the load vs. displacement curves of targeted composite materials for industry 4.0 and smart manufacturing
( Elsevier Ltd , 2021 , Article)This work presents an approach for smart manufacturing focusing on Industry 4.0 to predict the load vs. displacement curve of targeted cotton fiber/Polypropylene (PP) composite materials while complying with the required ...
