DataSheet1_Optimisation of Water-Energy Networks in Process Industry: Implementation of Non-Linear and Multi-Objective Models.PDF حسب Miguel Castro Oliveira (11975819)

"…In this work, two approaches for the solving of an optimisation problem related to the improvement of water and energy use in a process industry plant (three water-using processes) are implemented. These approaches consist on the development of a mixed-integer non-linear programming (MINLP) model and a multi-objective programming (MOP) model using the Python language. …"

Utilizing variable background weight maps for training the model on debris. حسب Owen M. O’Connor (11965460)

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Loss history of segmentation model trained over 600 epochs. حسب Owen M. O’Connor (11965460)

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DataSheet1_NeuroPack: An Algorithm-Level Python-Based Simulator for Memristor-Empowered Neuro-Inspired Computing.ZIP حسب Jinqi Huang (12433320)

"…As a result, a wide range of technologies have been developed that, in turn, are described via distinct empirical models. This diversity of technologies requires the establishment of versatile tools that can enable designers to translate memristors’ attributes in novel neuro-inspired topologies. …"

Schematic showing how the tracking model uses the inputs to make predictions. حسب Owen M. O’Connor (11965460)

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Presentation1_The Space Physics Environment Data Analysis System in Python.PDF حسب Eric W. Grimes (13913940)

The MQTT test broker with Python program. حسب Yazid Saif (17144817)

Analysis of the selected studies in terms of the code representation used. حسب Fahmi H. Quradaa (17896527)

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Final selected studies and quality assessment scores. حسب Fahmi H. Quradaa (17896527)

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Average of F1-score across years. حسب Fahmi H. Quradaa (17896527)

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Research questions and main motivations. حسب Fahmi H. Quradaa (17896527)

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Analysis of the selected studies in terms of RNN techniques used. حسب Fahmi H. Quradaa (17896527)

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The available dataset created by the selected studies. حسب Fahmi H. Quradaa (17896527)

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Comparison of detection techniques based on RNN applications with BigCloneBench dataset. حسب Fahmi H. Quradaa (17896527)

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Analysis the performance scores of the RNN-based clone detection techniques in detecting of Type-III and Type-IV clones. حسب Fahmi H. Quradaa (17896527)

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Selected studies and addressed research questions. حسب Fahmi H. Quradaa (17896527)

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Distribution of RNN techniques used in the selected studies. حسب Fahmi H. Quradaa (17896527)

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Data extraction template. حسب Fahmi H. Quradaa (17896527)

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Overview of systematic literature review. حسب Fahmi H. Quradaa (17896527)

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Study selection process. حسب Fahmi H. Quradaa (17896527)

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