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  1. 501

    How sustainable is liquefied natural gas supply chain? An integrated life cycle sustainability assessment model by Hussein, Al-Yafei

    Published 2022
    “…LCSA is used for estimating the social, economic, and environmental impacts of processes, and our life cycle model included the multi-region input–output analysis, Aspen HYSYS, and LNG maritime transport operations sustainability assessment tools. …”
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  2. 502

    Hierarchical deep learning approach using fusion layer for Source Camera Model Identification based on video taken by smartphone by Younes, Akbari

    Published 2023
    “…The PRNU features are extracted by CNN-based structures during the training process. Proposed six-stream networks are leveraged to extract both low-level and high-level features through the network. …”
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  3. 503

    A dual-stage deep learning approach for robust detection and identification of hardware trojans using monte-carlo dropout by Arash Golabi (21841484)

    Published 2025
    “…The proposed approach transforms time-series side-channel data- including power consumption, electromagnetic emissions, and timing information-into two distinct image-based representations using Markov Transition Fields (MTF) and a reshaping technique. …”
  4. 504

    Exploring new horizons in neuroscience disease detection through innovative visual signal analysis by Nisreen Said Amer (17984077)

    Published 2024
    “…We propose a novel time–frequency (TF) transform called the Forward–Backward Fourier transform (FBFT) and utilize convolutional neural networks (CNNs) to extract meaningful features from TF images and classify brain disorders. We introduce the concept of eye-naked classification, which integrates domain-specific knowledge and clinical expertise into the classification process. …”
  5. 505

    Hierarchical deep learning approach using fusion layer for Source Camera Model Identification based on video taken by smartphone by Younes Akbari (16303286)

    Published 2024
    “…The PRNU features are extracted by CNN-based structures during the training process. Proposed six-stream networks are leveraged to extract both low-level and high-level features through the network. …”
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    Solar Power IOT Irrigation System by Alotaibi, Khalifah

    Published 2021
    “…Secondly, solar tracking system includes the light dependent resistors as the input to the controller, which will decide the direction of the maximum sunlight, and the output, which is the motor, will mechanically rotate the solar cell toward the maximum sunlight. …”
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  10. 510

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

    Published 2024
    “…Initially, raw datasets chronicling sporadic traffic accidents are transformed into multivariate, regularly sampled sequences that are amenable to sequential modeling through a temporal discretization process. Subsequently, Traffic Transformer captures and learns the hidden relationships between any elements of the input sequence, constructing accurate prediction for multiple forthcoming intervals of traffic accidents. …”
  11. 511

    Multi Self-Organizing Map (SOM) Pipeline Architecture for Multi-View Clustering by Saadia Jamil (22045946)

    Published 2024
    “…The method does not need to know the number of clusters before hand, as it dynamically determines it during the process. Finally, this study proposed a novel multi-view learning framework that analyzes multi-source data and generates fine clusters efficiently.…”
  12. 512

    Performance analysis of hydrogen fuel cell with two-stage turbo compressor for automotive applications by Nabeel Ahsan (17302705)

    Published 2021
    “…The numerical model incorporates essential input parameters for air and hydrogen flow. The model also performed mass and energy balances across different components such as pump, fan, heat-exchanger, air compressor and keeps in consideration the pressure losses across flow pipes and various mechanical parts. …”
  13. 513

    Video surveillance using deep transfer learning and deep domain adaptation: Towards better generalization by Yassine Himeur (14158821)

    Published 2023
    “…However, they might not perform as expected, take much time in training, or not have enough input data to generalize well. To that end, deep transfer learning (DTL) and deep domain adaptation (DDA) have recently been proposed as promising solutions to alleviate these issues. …”
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    Deep Learning for Aspect-Based Sentiment Analysis of Government Mobile Apps Reviews by SIYAM, BILAL YACOUB

    Published 2018
    “…Sentiment Analysis (SA) is the process of analysing textual information and understanding the intent related to emotions, feelings and behaviours. …”
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  20. 520

    Geospatial assessment of the carbon footprint of water and electricity consumption in residential buildings in Doha, Qatar by Ammar, Abulibdeh

    Published 2024
    “…The process of estimating the carbon footprint (CF) has become a key method for managing greenhouse gas (GHG) emissions, guiding strategies for emission reduction and validating those strategies. …”
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