Acoustic radiation-free surface phononic crystal resonator for in-liquid low-noise gravimetric detection by Feng Gao (3548)

“…This energy confinement results in a significant quality factor improvement and reduces frequency noise. …”

An End-to-End Deep Learning Framework for Real-Time Denoising of Heart Sounds for Cardiac Disease Detection in Unseen Noise by Shams Nafisa Ali (17949191)

“…The results presented in the paper indicate that our proposed architecture demonstrated a robust denoising performance on different datasets with diverse levels and characteristics of noise. The proposed deep learning-based PCG denoising approach is a pioneering study that can significantly improve the accuracy of computer-aided auscultation systems for detecting cardiac diseases in noisy, low-resource hospitals and underserved communities. …”

Security Analysis of Integrated HAP-Based FSO and UAV-Enabled RF Downlink Communications by Mohammad Javad Saber (4334227)

Optimisation of exhaust emissions, vibration, and noise of unmodified diesel engine fuelled with canola biodiesel-diesel blends with natural gas addition by using response surface... by Ceyla Özgür (21323615)

“…<p dir="ltr">The paper presents methods to determine the optimum input parameters of CNG addition, biodiesel blend ratio, and engine speed to improve engine responses in terms of exhaust emissions, vibration, and noise of CNG-biodiesel-diesel fuelled engines. Box–Behnken based on response surface methodology was used to predict and optimise input parameters. …”

LQG-Based Virtual Inertial Control of Islanded Microgrid Load Frequency Control and DoS Attack Vulnerability Analysis by Athira M. Mohan (17947850)

On Equivalent Circuit Model-Based State-of-Charge Estimation for Lithium-Ion Batteries in Electric Vehicles by Fatma Ahmed (11084787)

Incorporation of Robust Sliding Mode Control and Adaptive Multi-Layer Neural Network-Based Observer for Unmanned Aerial Vehicles by Zainab Akhtar (15192184)

“…<p dir="ltr">The control and state estimation of Unmanned Aerial Vehicles (UAVs) provide significant challenges due to their complex and nonlinear dynamics, as well as uncertainties arising from factors such as sensor noise, wind gusts, and parameter fluctuations. …”

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

“…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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Energy-Efficient Cell Association and Load Balancing for Low Battery Users in Heterogeneous Cellular Networks by Abdul Qadeer Khan (22502168)

DNA Base-Calling Techniques by Odeh, Fadi

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Learning-Based Automatic Modulation Classification by Abdelmutalab, Ameen Elsiddig

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Medical Image Despeckling Using the Invertible Sparse Fuzzy Wavelet Transform with Nature-Inspired Minibatch Water Wave Swarm Optimization by Ahila Amarnath (19482388)

“…Our results show that the suggested approach outperforms modern filters and has significant generalization ability to unknown noise levels, while also being highly interpretable. …”

BIM for Economic Green Retrofitting based on LEED- EBOM by MEREB, EMAN

“…In the UAE, there are many projects were retrofitted and achieved significant savings through applying different strategies and initiatives to reduce the GHG emissions and resources consumptions. …”
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Tensile Test Optimization Using the Design of Experiment and Soft Computing by Mehdi Moayyedian (14880358)

Acoustic Based Localization of Partial Discharge Inside Oil-Filled Transformers by Hamidreza Besharatifard (16904823)

Sensory Pollution from Treated Wood Panels on Perceived Air Quality and Human Comfort by El Danaf, Taher Salah

“…The air upstream of ‘wood panel painted with oil based paint’ was judged to significantly deteriorate PAQ and caused most discomfort to the subjects. …”
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Energy Conservation-based Thresholding for Effective Wavelet Denoising of Partial Discharge Signals by Hussein, Ramy

“…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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Dynamic model scaling based on segmented tumor size for breast cancer detection by Younes Akbari (16303286)

“…This approach represents a notable advancement in breast cancer detection within histopathology images and holds significant potential as a tool in computational pathology.…”

Effect of Strain Fields on Frequency Band Gaps of Periodic Lattice-Based Metamaterials by Shendy, Mohamed

“…Lattice-based metamaterials, known for their ability to deliver unique acoustic properties such as wave band gaps and direction-dependent phase velocities, are considered promising for noise filtering and acoustic sensor applications. …”
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Deep learning based multimodal urban air quality prediction and traffic analytics by Saad Hameed (6488738)

“…The dataset exhibits real-world complexities, including abrupt camera or station activations/deactivations, noise interference, and outliers. The proposed system tackles the challenge of predicting air quality at locations having no sensors or experiencing sensor failures by training a joint model on the data obtained from nearby stations/sensors using a Particle Swarm Optimization (PSO)-based merit fusion of the sensor data. …”