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441
Acoustic Based Localization of Partial Discharge Inside Oil-Filled Transformers
Published 2022“…<p dir="ltr">This paper addresses the localization of Partial Discharge through a 3D Finite Element Method analysis of acoustic wave propagation inside a 3-phase 35kV transformer with the help of COMSOL Multiphysics software. …”
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442
Practical Multiple Node Failure Recovery in Distributed Storage Systems
Published 2016“…We allocate newcomers to nodes with minimal computations and without changing the original optimized plan. The problem is solved using genetic algorithms that search within the feasible solution space. …”
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conferenceObject -
443
Sentiment Analysis of Dialectal Speech: Unveiling Emotions through Deep Learning Models
Published 2024“…Additionally, the GRU-CNN hybrid model attained a notable accuracy of 90%. These findings establish the robustness and effectiveness of hybrid architectures in enhancing emotion recognition accuracy in Arabic speech data, presenting a novel approach for Arabic dialect sentiment analysis.…”
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444
Investigating the Use of Machine Learning Models to Understand the Drugs Permeability Across Placenta
Published 2023“…Several dataset analysis models are utilised to study the data diversity. Further, this study demonstrates the application of neural network-based models to effectively predict the permeability. …”
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445
Developing a UAE-Based Disputes Prediction Model using Machine Learning
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doctoralThesis -
446
The use of multi-task learning in cybersecurity applications: a systematic literature review
Published 2024“…Cybersecurity has become vital in information technology, with data protection being a major priority. Despite government and corporate efforts, cybersecurity remains a significant concern. …”
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447
From low-cost sensors to high-quality data: A summary of challenges and best practices for effectively calibrating low-cost particulate matter mass sensors
Published 2021“…The methods for correcting and calibrating these biases and dependencies that have been used in the literature likewise range from simple linear and quadratic models to complex machine learning algorithms. Here we review the needs and challenges when trying to get high-quality data from low-cost sensors. …”
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448
DAP: A dataset-agnostic predictor of neural network performance
Published 2024“…This task often must be repeated many times, especially when developing a new deep learning algorithm or performing a neural architecture search. …”
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449
Using machine learning for disease detection. (c2013)
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masterThesis -
450
Framework for rapid design and optimisation of immersive battery cooling system
Published 2025“…A conjugate heat transfer model for a 3S2P pouch cell module (20 Ah LiFePO₄) is developed and validated against experimental data (< 2% error). …”
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451
Full-fledged semantic indexing and querying model designed for seamless integration in legacy RDBMS
Published 2018“…In this paper, we address the problem of semantic-aware querying and provide a general framework for modeling and processing semantic-based keyword queries in textual databases, i.e., considering the lexical and semantic similarities/disparities when matching user query and data index terms. …”
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452
Energy-aware adaptive compression for mobile devices. (c2009)
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masterThesis -
453
An easy-to-use scalable framework for parallel recursive backtracking
Published 2013“…Solving NP-hard graph problems to optimality using exact algorithms is an example of an area in which there has so far been limited success in obtaining large scale parallelism. …”
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454
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A Novel Internal Model Control Scheme for Adaptive Tracking of Nonlinear Dynamic Plants
Published 2006“…The U-model utilizes only past data for plant modelling and standard root solving algorithm for control law formulation. …”
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456
The use of configurable computing for computational kernels in scientific simulations
Published 2006“…We present algorithms and analysis for two such kernels: fast, problem-specific multipliers and the efficient evaluation of Taylor series. …”
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457
Plant disease detection using drones in precision agriculture
Published 2023“…Color-infrared (CIR) images are the most preferred data used and field images are the main focus. The machine learning algorithm applied most is convolutional neural network (CNN). …”
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458
Cyberbullying Detection in Arabic Text using Deep Learning
Published 2023“…Cyberbullying involves the use of communication technology and data, including messages, photographs, and videos, to undertake aggressive negative actions to harm others. …”
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459
Predicting the Heats of Fusion of Ionic Liquids via Group Contribution Modeling and Machine Learning
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doctoralThesis -
460
Modeling of Chlorophyll-a and Eutrophication Indicators in the Dubai Creek Area using Remote Sensing
Published 2015Get full text
doctoralThesis