تصفح Faculty Contributions حسب الموضوع "Benchmarking"
السجلات المعروضة 1 -- 15 من 15
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1D convolutional neural networks and applications: A survey
( Academic Press , 2021 , Article)During the last decade, Convolutional Neural Networks (CNNs) have become the de facto standard for various Computer Vision and Machine Learning operations. CNNs are feed-forward Artificial Neural Networks (ANNs) with ... -
A New Benchmark Problem for Structural Damage Detection: Bolt Loosening Tests on a Large-Scale Laboratory Structure
( Springer , 2022 , Conference Paper)Monitoring the structural performance of engineering structures has always been pertinent for maintaining structural health and assessing the life cycle of structures. Structural Health Monitoring (SHM) and Structural ... -
Convolutional Sparse Support Estimator Network (CSEN): From Energy-Efficient Support Estimation to Learning-Aided Compressive Sensing
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Support estimation (SE) of a sparse signal refers to finding the location indices of the nonzero elements in a sparse representation. Most of the traditional approaches dealing with SE problems are iterative algorithms ... -
Development of the International Cardiac Rehabilitation Registry Including Variable Selection and Definition Process
( Ubiquity Press , 2022 , Article)Introduction: The International Council of Cardiovascular Prevention and Rehabilitation (ICCPR) is developing a registry (ICRR) specifically for low-resource settings, where the burden of cardiovascular diseases is greatest ... -
Distributed CNN Inference on Resource-Constrained UAVs for Surveillance Systems: Design and Optimization
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)Unmanned aerial vehicles (UAVs) have attracted great interest in the last few years owing to their ability to cover large areas and access difficult and hazardous target zones, which is not the case of traditional systems ... -
Early Bearing Fault Diagnosis of Rotating Machinery by 1D Self-Organized Operational Neural Networks
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Preventive maintenance of modern electric rotating machinery (RM) is critical for ensuring reliable operation, preventing unpredicted breakdowns and avoiding costly repairs. Recently many studies investigated machine ... -
Interference management schemes for multi-user cooperative wireless networks
( John Wiley and Sons Ltd , 2016 , Article)Cooperative communication is a promising technique for future wireless networks. It can be used in improving communication reliability and enhancing spectrum efficiency by using the broadcast nature of radio communication ... -
Novel Ternary Adder and Multiplier Designs without Using Decoders or Encoders
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Multiple-Valued Logic systems present significant improvements in terms of energy consumption over binary logic systems. This paper proposes new ternary combinational digital circuits that reduce energy consumption in ... -
Performance analysis of relay assignment schemes for cooperative networks with multiple source-destination pairs
( IEEE , 2012 , Article)In this paper, we consider two relay assignment schemes for cooperative networks comprising multiple source-destination pairs. Both schemes are based on the max-min criterion and aim at achieving the maximum spatial diversity ... -
Performance Comparison of Learned vs. Engineered Features for Polarimetric SAR Terrain Classification
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)In this work, we propose to use learned features for terrain classification of Polarimetric Synthetic Aperture Radar (PolSAR) images. In the proposed classification framework, the learned features are extracted from sliding ... -
Progressive Operational Perceptrons
( Elsevier B.V. , 2017 , Article)There are well-known limitations and drawbacks on the performance and robustness of the feed-forward, fully-connected Artificial Neural Networks (ANNs), or the so-called Multi-Layer Perceptrons (MLPs). In this study we ... -
Real-Time Glaucoma Detection from Digital Fundus Images Using Self-ONNs
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Glaucoma leads to permanent vision disability by damaging the optical nerve that transmits visual images to the brain. The fact that glaucoma does not show any symptoms as it progresses and cannot be stopped at the later ... -
Real-Time Patient-Specific ECG Classification by 1D Self-Operational Neural Networks
( IEEE Computer Society , 2021 , Article)Despite the proliferation of numerous deep learning methods proposed for generic ECG classification and arrhythmia detection, compact systems with the real-time ability and high accuracy for classifying patient-specific ... -
Real-time phonocardiogram anomaly detection by adaptive 1D Convolutional Neural Networks
( Elsevier B.V. , 2020 , Article)The heart sound signals (Phonocardiogram ? PCG) enable the earliest monitoring to detect a potential cardiovascular pathology and have recently become a crucial tool as a diagnostic test in outpatient monitoring to assess ... -
Synthesis of uniform ordered mesoporous TiO 2 microspheres with controllable phase junctions for efficient solar water splitting
( Royal Society of Chemistry , 2019 , Article)As a benchmark photocatalyst, commercial P25-TiO 2 has been widely used for various photocatalytic applications. However, the low surface area and poorly porous structure greatly limit its performance. Herein, uniform ...