Temporal fusion transformer-based prediction in aquaponics by Ahmet Metin (12832543)

“…In this research, an attention-based Temporal Fusion Transformers deep learning model was proposed and validated to forecast nitrate levels in an aquaponics environment. …”

Traffic Transformer: Transformer-based framework for temporal traffic accident prediction by Mansoor G. Al-Thani (19237204)

“…Existing neural network-based models generally suffer from a limited field of perception and poor long-term dependency capturing abilities, which severely restrict their performance. …”

BTM: Boundary Trimming Module for Temporal Action Detection by Maher Hamdi (6207746)

“…<p dir="ltr">Temporal action detection (TAD) aims to recognize actions as well as their corresponding time spans from an input video. …”

A Preliminary Assessment of Global CO₂: Spatial Patterns, Temporal Trends, and Policy Implications by Ahmed M. EI Kenawy (17746944)

Multi-IsnadSet MIS for Sahih Muslim Hadith with chain of narrators, based on multiple ISNAD by Aziz Mehmood Farooqi (20748788)

A Testing Framework for Blockchain-Based Energy Trade Microgrids Applications by Ameni Boumaiza (19160734)

SER inspired deep learning approach to detect cardiac arrhythmias in electrocardiogram signals using Temporal Convolutional Network and graph neural network by Samin Yaser (22803530)

“…The proposed model processes raw ECG signals using a TCN-based feature extractor, followed by spectral graph convolutions via a GCN. …”

Natural resource dependence and war nexus: new insights by Al Shami, Farah

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Spatial, temporal, and demographic patterns in prevalence of smoking tobacco use and attributable disease burden in 204 countries and territories, 1990–2019: a systematic analysis... by Marissa B Reitsma (8674341)

LCMV-Based EEG & FNIRS-Based Brain Source Localization of Mental Stress by Almadani, Ismat Feras Ismat

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When Should a Brain MRI Be Performed in Children with New-Onset Seizures? Results of a Large Prospective Trial by Hourani, R.

“…Univariate analysis showed a significant increase in the frequency of epileptogenic lesions with decreasing age, the presence of developmental delay, and the number and types of seizures at presentation. …”
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Fourier-Transform Infrared Imaging Spectroscopy and Laser Ablation -ICPMS New Vistas for Biochemical Analyses of Ischemic Stroke in Rat Brain by Mohamed H. M. Ali (5768066)

“…</p><p dir="ltr"><br></p><h3>Results</h3><p dir="ltr">The FTIR results revealed that in the lesioned gray matter the relative distribution of lipid, lipid acyl and protein contents decreased significantly. Also at this locus, there was a significant increase in aggregated protein as detected by high-levels Aβ1-42. …”

W-Transformers : A Wavelet-based Transformer Framework for Univariate Time Series Forecasting by Sasal, Lena

“…We present a novel framework for univariate time series representation learning based on the wavelet-based transformer encoder architecture and call it W-Transformer. …”
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Deep learning-based beat-to-beat arterial blood pressure estimation using distant radar signals by Farhana Ahmed Chowdhury (22564808)

“…While traditional cuff-based approaches are non-invasive, they have limitations in providing continuous blood pressure monitoring. …”

PredictPTB: an interpretable preterm birth prediction model using attention-based recurrent neural networks by Rawan AlSaad (14159019)

Hyperspectral-physiological based predictive model for transpiration in greenhouses under CO₂ enrichment by Ikhlas Ghiat (16932564)

“…These predictive models assimilate microclimate, physiological and hyperspectral features with high temporal and spatial resolutions. The results demonstrated the inclusion of hyperspectral-based vegetation indices significantly increased the performance of the three machine learning models in predicting transpiration. …”

A Diffusion-Based Probabilistic Ultra-Short-Term Solar Power Prediction Using the Sky Image Sequences by Razieh Rastgoo (22457767)

“…<p dir="ltr">The inherently unpredictable nature of solar power generation, primarily due to rapidly changing cloud cover, poses a significant challenge to the operation of solar-integrated energy systems. …”

Exploration and analysis of On-Surface and In-Air handwriting attributes to improve dysgraphia disorder diagnosis in children based on machine learning methods by Jayakanth, Kunhoth

“…Moreover, a deep analysis of different characteristics (kinematic, dynamic, temporal, spatial, etc.) of online handwriting is conducted to examine their significance in distinguishing normal and abnormal handwritten data. …”
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Exploration and analysis of On-Surface and In-Air handwriting attributes to improve dysgraphia disorder diagnosis in children based on machine learning methods by Jayakanth Kunhoth (14158908)

“…Moreover, a deep analysis of different characteristics (kinematic, dynamic, temporal, spatial, etc.) of online handwriting is conducted to examine their significance in distinguishing normal and abnormal handwritten data. …”

Image-Based Air Quality Estimation Using Convolutional Neural Network Optimized by Genetic Algorithms: A Multi-Dataset Approach by Arshad Ali Khan (23152516)