Information reconciliation through agent controlled graph model. (c2018) حسب Saba, Rita

"…Multiple models have been proposed and different techniques and data structures were used. …"
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On-site workshop investment problem: A novel mathematical approach and solution procedure حسب Nima Moradi (19418821)

Optimizing Energy Consumption of Cloud Computing IaaS حسب Mohamed, Huda Ibrahim

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Interval-Valued SVM Based ABO for Fault Detection and Diagnosis of Wind Energy Conversion Systems حسب Majdi Mansouri (16869885)

الموضوعات:

A depth-controlled and energy-efficient routing protocol for underwater wireless sensor networks حسب Umesh Kumar Lilhore (17727684)

"…The proposed energy-efficient routing protocol is based on an enhanced genetic algorithm and data fusion technique. In the proposed energy-efficient routing protocol, an existing genetic algorithm is enhanced by adding an encoding strategy, a crossover procedure, and an improved mutation operation that helps determine the nodes. …"

Cortical EEG Source Localization of Focal Epilepsy حسب Siyam, Wisal Elfatih Mohamed

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Using machine learning algorithm for detection of cyber-attacks in cyber physical systems حسب Almajed, Rasha

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Estimation of the methanol loss in the gas hydrate prevention unit using the artificial neural networks: Investigating the effect of training algorithm on the model accuracy حسب Haitao Xu (435549)

"…Adjusting the weight and bias of the ANN model using an optimization algorithm is known as the training process. …"

Optimized Load-Scheduling Algorithm for CubeSat's Electric Power System Management Considering Communication Link حسب Bayan Hussein (16904856)

Predict Student Success and Performance factors by analyzing educational data using data mining techniques حسب ATIF, MUHAMMAD

"…The model is then applied to data collected from a reputable university that included 126,698 records with twenty-six (26) initial data attributes. …"
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Label dependency modeling in Multi-Label Naïve Bayes through input space expansion حسب PKA Chitra (21749216)

"…To accommodate the heterogeneity of the expanded input space, we refine the likelihood parameters of iMLNB using a joint density function, which is adept at handling the amalgamation of data types. We subject our enhanced iMLNB model to a rigorous empirical evaluation, utilizing six benchmark datasets. …"

Predictive modelling in times of public health emergencies: patients’ non-transport decisions during the COVID-19 pandemic حسب Hassan Farhat (9000509)

Privacy-Preserving Fog Aggregation of Smart Grid Data Using Dynamic Differentially-Private Data Perturbation حسب Fawaz Kserawi (16904859)

"…We describe our differentially-private model with flexible constraints and a dynamic window algorithm to maintain the privacy-budget loss in infinitely generated time-series data. …"

Convergence of Photovoltaic Power Forecasting and Deep Learning: State-of-Art Review حسب Mohamed Massaoudi (16888710)

"…With the massive smart meter integration, DL takes advantage of the large-scale and multi-source data representations to achieve a spectacular performance and high PV forecastability potential compared to classical models. …"

Oversampling techniques for imbalanced data in regression حسب Samir Brahim Belhaouari (9427347)

"…For tabular data we conducted a comprehensive experiment using various models trained on both augmented and non-augmented datasets, followed by performance comparisons on test data. …"

A novel IoT intrusion detection framework using Decisive Red Fox optimization and descriptive back propagated radial basis function models حسب Osama Bassam J. Rabie (21323741)

"…Moreover, the DBRF classification model is deployed to categorize the normal and attacking data flows using optimized features. …"

Using Educational Data Mining Techniques in Predicting Grade-4 students’ performance in TIMSS International Assessments in the UAE حسب SHWEDEH, FATEN

"…We examined different feature selection methods and classification algorithms to find the best prediction model with the highest accuracy. …"
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On the performance of fusion based planet-scope and Sentinel-2 data for crop classification using inception inspired deep convolutional neural network حسب Nasru Minallah (9427338)

Automated Deep Learning BLACK-BOX Attack for Multimedia P-BOX Security Assessment حسب Zakaria Tolba (16904718)

"…This paper provides a deep learning-based decryptor for investigating the permutation primitives used in multimedia block cipher encryption algorithms.We aim to investigate how deep learning can be used to improve on previous classical works by employing ciphertext pair aspects to maximize information extraction with low-data constraints by using convolution neural network features to discover the correlation among permutable atoms to extract the plaintext from the ciphered text without any P-box expertise. …"

Novel algorithms for accurate DNA base-calling حسب Mohammed, Omniyah Gul

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