Optical recognition of electrical circuit drawings حسب Boraie, M.T.

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SemIndex: Semantic-Aware Inverted Index حسب Chbeir, Richard

"…This problem has emerged as a required extension of the standard containment keyword based query to meet user needs in textual databases and IR applications. …"
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Full-fledged semantic indexing and querying model designed for seamless integration in legacy RDBMS حسب Tekli, Joe

"…We then provide a general keyword query model with specially tailored query processing algorithms built on top of SemIndex, in order to produce semantic-aware results, allowing the user to choose the results' semantic coverage and expressiveness based on her needs. …"
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Gene-specific machine learning model to predict the pathogenicity of BRCA2 variants حسب Mohannad N. Khandakji (13885434)

"…We trained the model on 80% of the expert reviewed variants by the Evidence-Based Network for the Interpretation of Germline Mutant Alleles (ENIGMA) consortium and tested its performance on the remaining 20%, as well as on an independent set of variants of uncertain significance with experimentally determined functional scores.…"

Dynamic Cyber Resilience of Interdependent Critical Information Infrastructures حسب JUMA, MAZEN GHAZI

"…The technology stack was also enhanced with three new algorithms and five protocols. The proposed solution was optimized using the iterative four-objective cycle based on previous primary phase results. …"
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Interpreting patient-Specific risk prediction using contextual decomposition of BiLSTMs: application to children with asthma حسب Rawan AlSaad (14159019)

"…<h3>Background</h3><p dir="ltr">Predictive modeling with longitudinal electronic health record (EHR) data offers great promise for accelerating personalized medicine and better informs clinical decision-making. …"

DeepRaman: Implementing surface-enhanced Raman scattering together with cutting-edge machine learning for the differentiation and classification of bacterial endotoxins حسب Samir Brahim, Belhaouari

"…ConclusionWe present the effectiveness of DeepRaman, an innovative architecture inspired by the Progressive Fourier Transform and integrated with the scalogram transformation method, in classifying raw SERS Raman spectral data from biological specimens with unparalleled accuracy relative to conventional machine learning algorithms. Notably, this Convolutional Neural Network (CNN) operates autonomously, requiring no human intervention, and can be applied with substantially smaller datasets than traditional CNNs. …"
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An intelligent approach to predicting the effect of nanoparticle mixture ratio, concentration and temperature on thermal conductivity of hybrid nanofluids حسب Ifeoluwa Wole-Osho (14151315)

"…A polynomial correlation model, the adaptive neuro-fuzzy inference system model and an artificial neural network model optimised with three different learning algorithms. …"

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

"…The benchmarking experiments of execution time and precision on architecture search and evaluation process showed better performance on recently available GPUs making it feasible to adopt architecture search based methods on large datasets.</p> <h2>Conclusions</h2> <p>We proposed the use of differential architecture search method (DASSI) to perform SS classification on raw DNA sequences, and discovered new neural network models with low number of tunable parameters and competitive performance compared with manually engineered architectures. …"

Sentiment Analysis for Arabic Social media Movie Reviews Using Deep Learning حسب MEZAHEM, FATEMA HAMAD

"…Massive data can be collected every day from social media network such as YouTube, twitter, Instagram, and many other platforms. …"
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An Evolutionary Meta-Heuristic for State Justification in Sequential Automatic Test Pattern Generation حسب El-Maleh, Aiman H.

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An evolutionary meta-heuristic for state justification insequential automatic test pattern generation حسب El-Maleh, A.H.

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A Comprehensive Overview of the COVID-19 Literature: Machine Learning–Based Bibliometric Analysis حسب Alaa Abd-Alrazaq (17430900)

"…Specifically, we used a clustering algorithm to group published articles based on the similarity of their abstracts to identify research hotspots and current research directions. …"

The use of semantic-based predicates implication to improve horizontal multimedia database fragmentation حسب Getahun, Fekade

"…Database fragmentation allows reducing irrelevant data accesses by grouping data frequently accessed together in dedicated segments. …"
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An enhanced binary Rat Swarm Optimizer based on local-best concepts of PSO and collaborative crossover operators for feature selection حسب Abu Zitar, Raed

"…In this paper, an enhanced binary version of the Rat Swarm Optimizer (RSO) is proposed to deal with Feature Selection (FS) problems. FS is an important data reduction step in data mining which finds the most representative features from the entire data. …"

Towards Multimedia Fragmentation حسب Saad, Samir

"…Database fragmentation is a process for reducing irrelevant data accesses by grouping data frequently accessed together in dedicated segments. …"
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Using artificial bee colony to optimize software quality estimation models. (c2015) حسب Abou Assi, Tatiana Antoine

"…Such models are mainly constructed by either statistical techniques such as regression, or machine learning techniques such as C4.5 and neural networks. We build our model using machine learning techniques in particular rule-based models. …"
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Exploring new horizons in neuroscience disease detection through innovative visual signal analysis حسب Nisreen Said Amer (17984077)

"…To address this, our study focuses on visualizing complex EEG signals in a format easily understandable by medical professionals and deep learning algorithms. We propose a novel time–frequency (TF) transform called the Forward–Backward Fourier transform (FBFT) and utilize convolutional neural networks (CNNs) to extract meaningful features from TF images and classify brain disorders. …"

Iterative heuristics for multiobjective VLSI standard cellplacement حسب Sait, Sadiq M.

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Copy number variations in the genome of the Qatari population حسب Khalid A. Fakhro (3158862)

"…Genotyping intensities and genome sequencing data from 97 Qataris were analyzed with four different algorithms and integrated to discover 16,660 high confidence CNV regions (CNVRs) in the total population, affecting ~28 Mb in the median Qatari genome. …"