Multilayer Reversible Data Hiding Based on the Difference Expansion Method Using Multilevel Thresholding of Host Images Based on the Slime Mould Algorithm by Abu Zitar, Raed

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A Robust Deep Learning Approach for Distribution System State Estimation with Distributed Generation by Kfouri, Ronald

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Impact of Sampling Technique on the Performance of Surrogate Models Generated with Artificial Neural Network (ANN): A Case Study for a Natural Gas Stabilization Unit by Mohamed Ibrahim (3465677)

“…From the developed surrogate models to predict process data, it can be concluded that of the different sampling methods, Latin hypercube sampling and HSS have better performance than the pseudo-random sampling method for designing the surrogate model. …”

Numerical Modeling of Time-Fractional Phase-Change Problems by Azrak, Sura

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The history and development of newspaper electronic pagination systems in the United States, 1975-1987 by Beyrouti, Nouri

“…One of the findings of the survey was that survey respondents felt that while pagination was a vast improvement over old methods (hot type), it did not necessarily bring vast improvements in cost and speed over cold type processes that were already in place. …”
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Brain Source Localization in the Presence of Leadfield Perturbations by Momin, Rabiya Nakhat

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Developing Power-Law Fluid Flow in The Entrance Region of a Parallel Plate Channel by Rehman, Sadia

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Pore-scale simulation of fine particles migration in porous media using coupled CFD-DEM by Ahmed Elrahmani (17128837)

“…The model's geometry was generated from computed tomography images of sand packs, the CFD solver were set to solve the fluid flow while the DEM were to solve the particles physical interactions. …”

On the Use of Deep Learning for Video Classification by Atiq ur Rehman (14153391)

Application of a thermodynamically compatible two‐phase flow model to the high‐resolution simulations of compressible gas–magma flow by Touma, R.

“…This paper reports on the application and development of a fully hyperbolic and fully conservative two‐phase flow model for the simulation of gas and magma flow within volcanic processes. The model solves a set of mixture conservation equations for the gas and magma two‐phase flow with velocity non‐equilibrium. …”
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MoveSchedule by Zouein, Pierette

“…The resource levels describe different methods or crew-sizes for performing the activity. …”
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Almost Linear Semantic XML Keyword Search by Tekli, Joe

“…Many efforts have been deployed by the IR community to extend free-text query processing toward semi-structured XML search. Most methods rely on the concept of Lowest Comment Ancestor (LCA) between two or multiple structural nodes to identify the most specific XML elements containing query keywords posted by the user. …”
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Combining offline and on-the-fly disambiguation to perform semantic-aware XML querying by Tekli, Joe

“…Many efforts have been deployed by the IR community to extend freetext query processing toward semi-structured XML search. Most methods rely on the concept of Lowest Comment Ancestor (LCA) between two or multiple structural nodes to identify the most specific XML elements containing query keywords posted by the user. …”
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Dynamic task offloading and scheduling for low-latency IoT services in multi-access edge computing by Alameddine, Hyame Assem

“…One other advantage of this method is its capability of providing solutions with performance guarantees. …”
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Multi-Classifier Tree With Transient Features for Drift Compensation in Electronic Nose by Atiq Ur Rehman (8843024)

“…In this paper, these two problems of `sensors long term drift' and `delayed response' are solved simultaneously to propose a robust and fast electronic nose system, with following merits: (i) only initial transient state features are used in the proposed system without waiting for the sensors to reach a steady state, (ii) a modified boxplot approach is used to handle noisy/drifted data points as a preprocessing step before the classification setup, (iii) a heuristic tree classification approach with optimized transient features is proposed, (iv) the proposed approach only relies on adapted ML methods contrary to the traditional approaches like system recalibration or sensors replacement for handling sensors drift, and (v) the proposed ML model does not require any target domain data and uses only the source domain data for learning the classifier, opposed to the other ML solutions available in the existing literature. …”

DASSI: differential architecture search for splice identification from DNA sequences by Shabir Moosa (14153316)

“…The demand for robust algorithms over the recent years has brought huge success in the field of Deep Learning (DL) in solving many difficult tasks in image, speech and natural language processing by automating the manual process of architecture design. …”

Shrimp closed-loop supply chain network design by Behzad Mosallanezhad (14150604)

“…Finally, the results confirm that the SSC model and the solution methods are effective and useful to achieve cost savings.…”

Modelling of pollutant transport in compound open channels by Chatila, Jean Georges

“…Different statistical methods were considered in evaluating the simulated results.…”
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LCMV-Based EEG & FNIRS-Based Brain Source Localization of Mental Stress by Almadani, Ismat Feras Ismat

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Unbalanced Hybrid AOA/RSSI Localization for Simplified Wireless Sensor Networks by Anh Tuyen Le (7213172)

“…By simply transforming the 1AOA/1RSSI information into two corresponding virtual anchors, the problem of integrating one AOA and N RSSI measurements is solved using the least square and subspace methods. …”