Preprocessing Techniques for End-To-End Trainable RNN-Based Conversational System حسب Maziad, Hussein

"…To do so, we compare three approaches of conversation preprocessing methods: i) no KBI: considering conversational data with no external knowledge integration, ii) All Predicates KBI: considering conversational data where all dialogue pairs are augmented with their linked predicates from the domain KB, and iii) Intersecting Predicates KBI: considering conversational data where dialogue pairs are augmented only with their intersecting predicates (to filter-out potentially useless or redundant knowledge). …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Sentiment Mining of Arabic Twitter Data حسب Ahmed, Soha Galalaldin Khider

الموضوعات: احصل على النص الكامل

Methodology for Analyzing the Traditional Algorithms Performance of User Reviews Using Machine Learning Techniques حسب Abdul Karim (417009)

الموضوعات:

Unsupervised outlier detection in multidimensional data حسب Atiq ur Rehman (14153391)

"…<p>Detection and removal of outliers in a dataset is a fundamental preprocessing task without which the analysis of the data can be misleading. …"

Site-Adaptation of Modeled Solar Radiation Data: The SiteAdapt Procedure حسب Carlos M. Fernández-Peruchena (18558904)

"…<p dir="ltr">The adaptation of modeled solar radiation data with coincident ground measurements has become a standard practice of the industry, typically requested by financial institutions in the detailed solar resource assessments of solar projects. …"

Allocating data to multicomputer nodes by physical optimization algorithms for loosely synchronous computations حسب Mansour, Nashat

"…A number of design choices and the addition of preprocessing and postprocessing steps lead to versions of the algorithms which differ in solution qualities and execution times. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Developing Privacy Frameworks for Motion Sensor Data in Next-Generation Wearable Devices حسب Ahmed, Ragad Moustafa

احصل على النص الكامل

Deep learning-based marine big data fusion for ocean environment monitoring: Towards shape optimization and salient objects detection حسب Sulaiman Khan (12585349)

"…For the categorization of spatial data, AlexNet is utilized, whereas Inception V-4 is employed for temporal data (environment monitoring). …"

A Multi-Faceted Approach to Trending Topic Attack Detection Using Semantic Similarity and Large-Scale Datasets حسب Insaf Kraidia (19198012)

"…To support this methodology, we curated large-scale, high-quality datasets comprising 7,000 Arabic and 28,000 English tweets, applying tailored preprocessing steps to ensure efficiency and accuracy. …"

Sensor-based Continuous Arabic Sign Language Recognition حسب Tubaiz, Noor Ali

احصل على النص الكامل

Blue collar laborers’ travel pattern recognition: Machine learning classifier approach حسب Aya Hasan Alkhereibi (17151070)

"…A pattern recognition model is applied to a revealed preference (RP) survey obtained from the Ministry of Transportation and Communication (MoTC) in Qatar for the travel diary for blue-collar workers. Raw data preprocessing and outliers detection and filtering algorithms were applied at the first stage of the analysis, and consequently, an activity-based travel matrix was developed for each household. …"

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)

"…The novelty of this work is, a recently developed DRF optimization methodology incorporated with the machine learning algorithm is utilized for maximizing the security level of IoT systems. First, the data preprocessing and normalization operations are performed to generate the balanced IoT dataset for improving the detection accuracy of classification. …"

Classification of Cognitive Workload Levels under Vague Visual Stimulation حسب Mahmoud, Rwan Adil Osman

احصل على النص الكامل

Frontiers and trends of supply chain optimization in the age of industry 4.0: an operations research perspective حسب Zhitao Xu (2426023)

"…Furthermore, we recommend four promising research avenues in this interplay: (1) incorporating new decisions relevant to data-enabled SC decisions, (2) developing data-enabled modeling approaches, (3) preprocessing parameters, and (4) developing data-enabled algorithms. …"

An Exemplar Pyramid Feature Extraction Based Alzheimer Disease Classification Method حسب Heba Soliman Zaina (16904787)

The Role of Machine Learning in Diagnosing Bipolar Disorder: Scoping Review حسب Zainab Jan (17306614)

"…Magnetic resonance imaging data were most commonly used for classifying bipolar patients compared to other groups (11, 34%), whereas microarray expression data sets and genomic data were the least commonly used. …"

An App for Navigating Patient Transportation and Acute Stroke Care in Northwestern Ontario Using Machine Learning: Retrospective Study حسب Ayman Hassan (14426412)

"…These data contained parameters regarding air (Ornge) and land medical transport (3 services), which were preprocessed and cleaned. …"

Ensemble Learning for Precise State-of-Charge Estimation in Electric Vehicles Lithium-Ion Batteries Considering Uncertainty حسب Aya Haraz (22225036)

"…This study presents a comprehensive machine learning (ML)-based approach for SoC estimation of EV LiBs, addressing the challenges of model reliability, uncertainty, and real-world data variability. To ensure the model’s robustness and generalizability, preprocessing techniques, including normalization and scaling, were employed alongside rigorous cross-validation methods. …"

A Digital DNA Sequencing Engine for Ransomware Analysis using a Machine Learning Network حسب KHAN, FIROZ

"…In the first phase, data preprocessing and feature selection technique is applied to the collected dataset. …"
احصل على النص الكامل

Enhancement of SAR Speckle Denoising Using the Improved Iterative Filter حسب Yahia, Mohamed

"…The recent advancement in synthetic aperture radar (SAR) technology has enabled high-resolution imaging capability that calls for efficient speckle filtering algorithms to preprocess radar imagery. Since the introduction of the Lee sigma filter in 1980, the various versions of the minimum mean square error (MMSE) filter were developed, focusing essentially on how to estimate the processed pixels. …"
احصل على النص الكامل