ThoraX-PriorNet: A Novel Attention-Based Architecture Using Anatomical Prior Probability Maps for Thoracic Disease Classification by Md. Iqbal Hossain (723299)

“…Many Convolutional Neural Network (CNN) architectures have been developed by researchers for disease classification and localization from chest X-ray images. It is known that different thoracic disease lesions are more likely to occur in specific anatomical regions compared to others. …”

Development of Resource Sharing Services at Helsinki University Library by Juha Leppämäki (16321485)

“…We are working to create invoices automatically based on the reports from Alma analytics. …”

MSEUnet: Refined Intima-media segmentation of the carotid artery based on a multi-scale approach using patch-wise dice loss by Najmath Ottakath (17430912)

“…The obtained results using augmentation on two combined datasets indicate an improvement in different metrics with respect to the state of the art. …”

Mitigation of voltage imbalance in power distribution system using MPC‐controlled packed‐U‐cells converter by Ibrahim Ahmed (14778349)

“…This converter transfers balanced power from and to the three-phase feeder while automatically regulating the lateral single-phase voltage, hence, assuring high power quality without requiring any transformer on-load tap changer. …”

IDRISI-RE: A generalizable dataset with benchmarks for location mention recognition on disaster tweets by Reem Suwaileh (17863055)

“…Additionally, IDRISI-RE contains about 56.6k automatically-labeled tweets that we offer as a silver dataset. …”

Automation in Construction Project Execution – A Theoretical Framework by Alsheikh, Yousef Awni

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Oral Reading Fluency Model: An Investigation of Reading-aloud Strategies, Assessment Methods and Factors Affecting Students’ Oral Reading Fluency in Private Schools in the UAE by ALDHANHANI, ZAINAB RASHED

“…However, it has been neglected in public schools in the UAE despite the fact that different theories (including behaviorism, information processing model theory, automaticity theory, and Ehri and McCormick’s word learning theory) have shed light on this skill. …”
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Assessing Energy Saving Potential in Existing Buildings in Abu Dhabi through Passive Retrofitting Strategies: Case Study –Office Buildings by Manneh, Abeer

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Classification of defects in wooden structures using pre-trained models of convolutional neural network by Rana Ehtisham (17820980)

“…<p>Wooden structures, over time, are challenged by different types of defects. Due to mechanical and weathering effects, these defects can occur in the form of cracks, live and dead knots, dampness, and others. …”

A spectral-ensemble deep random vector functional link network for passive brain–computer interface by Ruilin Li (5627456)

“…<p dir="ltr">Randomized <u>neural networks</u> (RNNs) have shown outstanding performance in many different fields. The superiority of having fewer training parameters and closed-form solutions makes them popular in small datasets analysis. …”

Development of Resource Sharing Services at Helsinki University Library by Juha Leppämäki (16321485)

“…We are working to create invoices automatically based on the reports from Alma analytics. …”

Pavement Crack Assessment Using Satellite Remote Sensing and Deep Learning Model by Al Adab, Maryam

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Detecting Arabic Cyberbullying Tweets in Arabic Social Using Deep Learning by ALFALASI, FARIS Jr

“…Artificial neural networks and other deep learning approaches can automatically identify patterns and features from a massive quantity of data. …”
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Building semantic trees from XML documents by Tekli, Joe

“…The distributed nature of the Web, as a decentralized system exchanging information between heterogeneous sources, has underlined the need to manage interoperability, i.e., the ability to automatically interpret information in Web documents exchanged between different sources, necessary for efficient information management and search applications. …”
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Sentiment Analysis for Arabic Social media Movie Reviews Using Deep Learning by MEZAHEM, FATEMA HAMAD

“…This work is to apply sentiment analysis SA for Arabic movie reviews on social media. Automatically detecting attitude or sentiment in a text is often helpful. …”
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Deep Learning Assisted Automated Assessment of Thalassaemia from Haemoglobin Electrophoresis Images by Muhammad Salman Khan (17632266)

“…Seven different CNN models (ResNet18, ResNet50, ResNet101, InceptionV3, DenseNet201, SqueezeNet and MobileNetV2) were investigated in this study. …”

Applying morpho-emergent theory to the evolution of public buildings: new design strategies for the building envelopes by Jaheen, Noha

“…Consequently the study draws a new path of design responsive efficient shells for low-rise public buildings which can achieve lighting, ventilation and thermal comfort levels while reducing energy consumption. In the different climatically selected zones of the UAE, UK and Brazil, indoor thermal comfort levels were achieved. …”
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Implementation of Deep Learning for Measurement of Penile Curvature on Real 2D Intraoperative Images by Sriman Bidhan Baray (15302398)

“…All images and ground truth angle information were used to train 3 different deep-learning models. A YOLOv8 model was trained to localize and crop the penile region, then a deep-learning model was employed to segment the shafts and generate binary mask images. …”