Browsing Students Publications by Subject "Deep Learning"

Now showing items 1-12 of 12

Assessment of Hydrocarbons Contamination in Soil Using Hyperspectral Data – A Data-Driven Approach

Al Ayass, Rafic (2023-09-04)

Petroleum and its products undergo large-scale production, transportation, and storage which makes them prone to spills and leakages into the environment. Petroleum contamination in terrestrial environments, particularly ...
Characterization of the Construction Period of Buildings in Beirut from Street-View Photos Using Deep Learning

Wardan, David (2023-09-07)

Multiple efforts have contributed to collecting data on the built environment in Beirut. However, these efforts usually rely on field visits that are time-consuming. Until now no complete dataset that provides the ...
Deep Learning and Mixed Reality for Autocomplete Teleoperation

Kassem Zein, Mohammad (2/4/2021)

Teleoperation of robots can be challenging, especially for novice users with little to no experience at such tasks. The difficulty is largely due to the numerous degrees of freedom users must control and their limited ...
GRAPH NEURAL NETWORK ARCHITECTURES FOR FAST SIMULATION AND MUON MOMENTUM INFERENCE AT THE CMS DETECTOR

Hariri, Ali (2/3/2021)

Accurate and fast simulation of particle physics processes is crucial for the high-energy physics community knowing that simulating the particle showers and interactions in the detector is both time consuming and computationally ...
IMPACT-FORCE IDENTIFICATION USING DEEP LEARNING AND BAYESIAN INFERENCE WITH APPLICATION ON PIPELINE STRUCTURES

Hamadneh, Mumen (2024-02-05)

Structures, ranging from bridges to pipelines, frequently encounter various impact events that can jeopardize their integrity. For example, a pipeline might experience impacts from falling debris during a construction ...
Optimal Spatial-Spectral Input For Real-Time Hyperspectral Image Classification

Haidar, Jawad (9/12/2022)

Heavy metal contamination in soil is of great danger for the environment as well as for the human health. This is owed to their hazardous toxicity alongside with their ability to be easily captured by crops and plants. ...
PERSONALIZATION OF AUTOCOMPLETE FRAMEWORK

Haj Hussein, Mohammad (2/10/2023)

Remote controlling robots without any automated help is difficult due to various limitations. Autocomplete enhances teleoperation by recognizing operator intentions from the input of the user and automating motions when ...
SAraBERT:Affixing Inter-Sentence Transformers to AraBERT

Shameseldeen, Sami (5/18/2022)

Natural language processing (NLP) has made remarkable advancement with the advent of deep learning technology. The deep learning models have produced enhanced results in NLP tasks such as text summarization, text translation, ...
Security of Abstraction Based Novelty Detection in Deep Learning

Hajj Ibrahim, Sara (8/9/2021)

Deep learning is a type of machine learning that adapts a deep hierarchy of concepts. Deep learning classifiers link the most basic version of concepts at the input layer to the most abstract version of concepts at the ...
Studying Children Food Exposure and Food Consumption using Deep Learning

Shmayssani, Zoulfikar (1/5/2022)

Children's eating behavior is one of the main pillars of a healthy life. Recent studies show that eating unhealthy food is highly associated with many chronic diseases including diabetes, obesity, and cancer. Such dietary ...
Theoretical Guarantees of Contrastive Learning in a Novel Explainable AI Method and a Deep Fairness Evaluation Framework

El Zini, Julia (1/27/2023)

Given the social implications of autonomous systems in high-stake areas, recent years have witnessed an outpouring of research on designing explainable and fair AI models. In this work, we consider the intersection of ...
XCT Non-Destructive Evaluation of FSW Joints via Predictive Modeling of Hounsfield Units

Baydoun, Ahmad (2024-05-09)

This work employs X-ray computed tomography (XCT), coupled with machine and deep learning techniques to non-destructively evaluate the quality (detecting defects and differentiating of materials) of dissimilar friction ...

Now showing items 1-12 of 12

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Browsing Students Publications by Subject "Deep Learning"

Browsing Students Publications by Subject "Deep Learning"

Search AUB ScholarWorks

Browse

All of AUB ScholarWorks

This Community

My Account

Copyright Statement