Exploring Sentiment Analysis using Different Machine Learning Algorithms on Dialectal Arabic by AL MANSOORI, MOUZA

“…The purpose of this study is to examine the performance of sentiment analysis on three datasets that have different level of dialectal Arabic; mixed dialects dataset, gulf dialect dataset, and Emirati dialect dataset. Two machine learning classifiers were used in this experiment; the support vector machine (SVM) and Naïve Bayes (NB). …”
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Optimizing Energy Consumption In Cloud Datacenters by Khan, Mueez Ahmad

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Incremental and Heuristic Algorithms for Deriving Adaptive Distinguishing Test Cases for Nondeterministic Finite State Machines by Saleh, Ayat

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Optimized FPGA Implementation of PWAM-Based Control of Three—Phase Nine—Level Quasi Impedance Source Inverter by Syed Rahman (569240)

“…Since, PWAM control algorithm is more complex than PSCPWM, FPGA based implementation for PWAM control is discussed. …”

Multimodal EEG and Keystroke Dynamics Based Biometric System Using Machine Learning Algorithms by Arafat Rahman (8065562)

“…Different classifiers were trained, validated, and tested for two different classification experiments - personalized and generalized. …”

A Novel Genetic Trajectory Planning Algorithm With Variable Population Size for Multi-UAV-Assisted Mobile Edge Computing System by Muhammad Asim (2235472)

“…To solve the problem, this paper proposed a novel genetic trajectory planning algorithm with variable population size (GTPA-VP), which consists of two phases. …”

Management of leak after sleeve gastrectomy: outcomes of 73 cases, treatment algorithm and predictors of resolution by Moataz Bashah (14148867)

“…<h2>Introduction</h2><p dir="ltr">Gastric leak post laparoscopic sleeve gastrectomy (LSG) is a severe complication that has been reported in 1.5–3% of cases. …”

A Fast and Robust Gas Recognition Algorithm Based on Hybrid Convolutional and Recurrent Neural Network by Xiaofang Pan (1895950)

“…Moreover, various standard drift related experiments are conducted, of which the results validate our proposed algorithm's superior robustness for the wide range of real-life applications.…”

Predicting Patient ICU Readmission Using Recurrent Neural Networks With Long Short-Term Memory by Nadia Rasheed (22997257)

Smart transportation solutions for faster emergency medical services response using an enhanced whale optimization algorithm by Hina Gupta (21842246)

“…The experiment outcomes demonstrate that the mWOA has higher efficiency and superiority than alternative algorithms regarding convergence rate and stability.…”

Performance Analysis of Artificial Neural Networks in Forecasting Financial Time Series by Lasfer, Assia

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Simulated tempering and mean field annealing for mapping to multicomputers. (c1996) by Aghazarian, Gabriel I.

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Habitat in flames: How climate change will affect fire risk across koala forests by Farzin Shabani (302023)

“…</p><p><br></p><h3>Method:</h3><p dir="ltr">The Decision Tree machine learning algorithm was applied to generate a fire susceptibility index (a measure of the potential for a given area or region to experience wildfires) using a dataset of conditioning factors, namely: altitude, aspect, rainfall, distance from rivers, distance from roads, forest type, geology, koala presence and future dietary sources, land use-land cover (LULC), normalized difference vegetation index (NDVI), slope, soil, temperature, and wind speed.…”

Content-Aware Adaptive Video Streaming Using Actor-Critic Deep Reinforcement Learning by Amer, Hala Nagi

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Efficient Approximate Conformance Checking Using Trie Data Structures by Awad, Ahmed

“…Evaluation experiments with five real-world event logs show that our approach reduces the runtime of alignment construction by two orders of magnitude with a modest estimation error.…”
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A Hybrid Deep Learning Model Using CNN and K-Mean Clustering for Energy Efficient Modelling in Mobile EdgeIoT by Dhananjay Bisen (19482454)

“…This research proposed a hybrid model for energy-efficient cluster formation and a head selection (E-CFSA) algorithm based on convolutional neural networks (CNNs) and a modified k-mean clustering (MKM) method for MEC. …”

On-site workshop investment problem: A novel mathematical approach and solution procedure by Nima Moradi (19418821)

“…Finally, conclusions and suggestions for future studies are stated.</p><h2>Other Information</h2> <p> Published in: Heliyon<br> License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.heliyon.2023.e22678" target="_blank">https://dx.doi.org/10.1016/j.heliyon.2023.e22678</a></p>…”

Face Recognition in Uncontrolled Indoor Environment by Abuqaaud, Kamal Adel

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Boosting the visibility of services in microservice architecture by Ahmet Vedat Tokmak (17773479)

“…We utilized parameter optimization techniques, namely Grid Search, Random Search, Bayes Search, Halvin Grid Search, and Halvin Random Search to fine-tune the hyperparameters of our classifier models. Experimental results demonstrated that the CatBoost algorithm achieved the highest level of accuracy (90.42%) in predicting microservice quality.…”

Correlation Clustering via s-Club Cluster Edge Deletion by Makarem, Norma

“…In addition, we implement this 3CCED algorithm in the heuristic approach and compare the experiments to Cluster Editing and 2CCED. …”
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