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Showing 1 - 20 results of 208 for search '(( significant signals based ) OR ( significant ((gap decrease) OR (mean decrease)) ))', query time: 0.11s Refine Results
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    Energy Conservation-based Thresholding for Effective Wavelet Denoising of Partial Discharge Signals by Hussein, Ramy

    Published 2016
    “…In this study, a novel wavelet threshold estimation method, named energy conservation-based thresholding (ECBT), is introduced. The proposed thresholding function is capable of conserving a significant portion of the original signal energy, while the threshold value is determined based on the relative difference between the original and noisy signal energies. …”
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  2. 2

    Deep learning-based beat-to-beat arterial blood pressure estimation using distant radar signals by Farhana Ahmed Chowdhury (22564808)

    Published 2025
    “…Our novel approach enables remote monitoring of critical patients continuously, especially those undergoing surgery, by predicting ABP waveforms from non-contact radar signals. This breakthrough offers significant advantages, facilitating continuous ABP monitoring without the need for invasive procedures or cumbersome wearable sensors.…”
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    Assessing the Impact of Reactive Power Droop on Inverter Based Microgrid Stability by Lasheen, Ahmed

    Published 2021
    “…Droop control is the most common approach for controlling inverter-based micro-grids. The active power droop gain has always been considered as the main parameter for identifying the micro-grid stability margin. …”
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    The Role of Artificial Intelligence in Decoding Speech from EEG Signals: A Scoping Review by Uzair Shah (15740699)

    Published 2022
    “…Brain–computer interfaces (BCI) can support people who have issues with their speech or who have been paralyzed to communicate with their surroundings via brain signals. Therefore, EEG signal-based BCI has received significant attention in the last two decades for multiple reasons: (i) clinical research has capitulated detailed knowledge of EEG signals, (ii) inexpensive EEG devices, and (iii) its application in medical and social fields. …”
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    Security Analysis of Integrated HAP-Based FSO and UAV-Enabled RF Downlink Communications by Mohammad Javad Saber (4334227)

    Published 2024
    “…To safeguard against eavesdropping, especially during emergencies, we propose a physical-layer security mechanism to enhance the control signaling resilience in disaster response and network failure detection. …”
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    Morphological changes in amblyopic eyes in choriocapillaris and Sattler’s layer in comparison to healthy eyes, and in retinal nerve fiber layer in comparison to fellow eyes through... by Masri, Oussama Samer

    Published 2021
    “…Results The method of measuring reflectivity is good to excellent reliability for all regions of interest except the fourth. The mean reflectivity of the choriocapillaris and Sattler’s layer in amblyopic eyes were significantly lower than in healthy eyes (p = 0.003 and p = 0.008 respectively). …”
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    Small-Signal Stability Analysis and Parameters Optimization of Virtual Synchronous Generator for Low-Inertia Power System by Alaa Altawallbeh (22565837)

    Published 2025
    “…This paper presents a comprehensive small-signal modeling and stability analysis framework for grid-connected virtual synchronous generators (VSGs), integrating: an LCL-filter interfaced power converter, active/reactive power loop (APL/RPL) controllers, and dual-loop PI-based current and voltage control. …”
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    Evidence and gaps in clinical outcomes of novel pharmacologic therapies for sickle cell disease: A systematic literature review highlighting insights from clinical trials and real-... by Mohamed Yassin (4166515)

    Published 2025
    “…The high discontinuation rate and results of the STAND trial led to a significant decrease in the use of crizanlizumab. The HOPE trial demonstrated a 51 % improvement in hemoglobin response and a reduction in hemolytic markers in patients treated with voxelotor. …”
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    SER inspired deep learning approach to detect cardiac arrhythmias in electrocardiogram signals using Temporal Convolutional Network and graph neural network by Samin Yaser (22803530)

    Published 2025
    “…The proposed model processes raw ECG signals using a TCN-based feature extractor, followed by spectral graph convolutions via a GCN. …”
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    System biology approaches identified novel biomarkers and their signaling pathways involved in renal cell carcinoma with different human diseases by Md. Saddam Hossen (18278698)

    Published 2022
    “…OB, chronic kidney disease (CKD), type 2 diabetes (T2D), and HCV significantly shared 28, 14, 5, and 3 genes, respectively. …”
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    On the Performance of Self-Concatenated Coding for Wireless Mobile Video Transmission Using DSTS-SP-Assisted Smart Antenna System by Nasru Minallah (9427338)

    Published 2021
    “…This article presents a novel approach to the concept of Self-Concatenated Convolutional Coding (SECCC) with Sphere Packing (SP) modulation via Differential Space-Time Spreading- (DSTS-) based smart antennas. The two transmitters provide transmit diversity which is capable of recuperating the signal from the effects of fading, even with a single receiving antenna. …”
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    Special Issue: Empowering eHealth with Smart Internet of Things (IoT) Medical Devices by Abbes Amira (6952001)

    Published 2019
    “…IoT helps to store data for millions of patients and perform analysis in real-time, promoting an evidence-based medicine system. This Special Issue has focused on pioneering future directions and innovation in smart wearable embedded solutions and IoT with applications in connected health, biomedical signal processing and smart environments. …”
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