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

A novel encryption algorithm using multiple semifield S-boxes based on permutation of symmetric group حسب Iqtadar Hussain (14147850)

"…The presented algorithm is mainly based on the Shannon idea of substitution–permutation network where the process of substitution is performed by the proposed S₈ semifield substitution boxes and permutation operation is performed by the binary cyclic shift of substitution box transformed data. …"

Public health utility of cause of death data: applying empirical algorithms to improve data quality حسب Sarah Charlotte Johnson (9715415)

Hardening the ElGamal cryptosystem in the setting of the second group of units. (c2011) حسب Fanous, Suzan Mohamad

احصل على النص الكامل
احصل على النص الكامل

Variable Selection in Data Analysis: A Synthetic Data Toolkit حسب Mitra, Rohan

"…Variable (feature) selection plays an important role in data analysis and mathematical modeling. This paper aims to address the significant lack of formal evaluation benchmarks for feature selection algorithms (FSAs). …"
احصل على النص الكامل

CNN and HEVC Video Coding Features for Static Video Summarization حسب Issa, Obada

احصل على النص الكامل

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

احصل على النص الكامل

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

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

"…Researchers have scrutinized data hiding schemes in recent years. Data hiding in standard images works well, but does not provide satisfactory results in distortion-sensitive medical, military, or forensic images. …"
احصل على النص الكامل

A Survey of Data Clustering Techniques حسب Sobeh, Salma

"…Clustering, an unsupervised learning technique, aims to identify a specific number of clusters to effectively categorize the data through data grouping. Hence, clustering is related to many fields and is used in various applications that deal with large datasets. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Deep Learning-Based Coding Strategy for Improved Cochlear Implant Speech Perception in Noisy Environments حسب Billel Essaid (22047578)

Predicting Dropouts among a Homogeneous Population using a Data Mining Approach حسب BILQUISE, GHAZALA

"…Our research relies solely on pre-college and college performance data available in the institutional database. Our research reveals that the Gradient Boosted Trees is a robust algorithm that predicts dropouts with an accuracy of 79.31% and AUC of 88.4% using only pre-enrollment data. …"
احصل على النص الكامل

Predicting the Heats of Fusion of Ionic Liquids via Group Contribution Modeling and Machine Learning حسب Zeinab, Samira Jihad

احصل على النص الكامل

Competitive learning/reflected residual vector quantization for coding angiogram images حسب Mourn, W.A.H.

احصل على النص الكامل
احصل على النص الكامل

Automatic Video Summarization Using HEVC and CNN Features حسب Issa, Obada

احصل على النص الكامل

BUC algorithm for iceberg cubes حسب Nasr, George E.

"…The Iceberg-Cube problem restricts the computation of the data cube to only those group-by partitions satisfying a minimum threshold condition defined on a specified measure. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Development of a deep learning-based group contribution framework for targeted design of ionic liquids حسب Sadah Mohammed (18192859)

"…<p dir="ltr">In this article, we present a novel deep learning-based group contribution framework for the targeted design of ionic liquids (ILs). …"

Social spider optimization algorithm: survey and new applications حسب Abualigah, Laith

"…One of the PSO algorithms or versions is the social spider optimization (SSO) algorithm, a simulation of the interaction between spider groups, males and females. …"
احصل على النص الكامل

(k, l)-Clustering for Transactional Data Streams Anonymization حسب Tekli, Jimmy

"…In this paper, we address the correlation problem in the anonymization of transactional data streams. We propose a bucketization-based technique, entitled (k, l)-clustering to prevent such privacy breaches by ensuring that the same k individuals remain grouped together over the entire anonymized stream. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Mining airline data for CRM strategies. (c2006) حسب Maalouf, Lena

احصل على النص الكامل
احصل على النص الكامل