World society and the convergence of consumer values: Buying patterns of eco-certification in the UAE by Mook, Anne

Subjects: “…Certification…”
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An Online Cognitive, Adaptive, Practice based Approach for ITS: An Approach to IT professional certifications by Duweik, Hikmat Jadalla

“…ICDL has recently become a de facto standard professional certificate in a wide spectrum of jobs. The system can be used for distance learning/ e-learning or for blended learning approach. …”
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Development of a Machine Learning Based Smart Water Leak Detection System by Al Hassani, Rabab

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Using machine learning for disease detection. (c2013) by Jreij, Georges Antoun

Subjects: “…Disease -- Classification…”
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Spatio-Temporal Feature-Extraction Techniques for Isolated Gesture Recognition in Arabic Sign Language by Shanableh, Tamer

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Polycystic Ovarian Syndrome Identification through Self-Attention Guided Convolutional Neural Network by Tiwari, Shamik

Subjects: “…PCOS; ConvNet; Sellf-attention ConvNet; Classification.…”
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A Study on Applying Data Mining in Airline Industry for Demand Forecasting by predicting Item Criticality by KARAM, ZAINAB HAMDAN

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Automatic Recognition of Poets for Arabic Poetry using Deep Learning Techniques (LSTM and Bi-LSTM) by AL SHOUBAKI, HAMZA YOUNIS

Subjects: “…Arabic poetry, text classification, RNN, LSTM, Bi-LSTM…”
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Clinical attachment loss may serve as a more precise, suitable, and pragmatic grading instrument for periodontitis: A clinical and radiographic validation study by Meer, Rayan M.

Subjects: “…Classification…”
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A proposed framework to guide evidence synthesis practice for meta-analysis with zero-events studies by Chang, Xu

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Comparing deep learning models for low-light natural scene image enhancement and their impact on object detection and classification: Overview, empirical evaluation, and challenges by Al Sobbahi, Rayan

“…Fourth, we present a comparative analysis for object detection and classification performance achieved by 4 different object detection models applied on LLIs and their enhanced counterparts. …”
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Global smart cities classification using a machine learning approach to evaluating livability, technology, and sustainability performance across key urban indices by Aya Hasan Alkhereibi (17151070)

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Computational investigation of cobalt and copper bis (oxothiolene) complexes as an alternative for olefin purification by Dušan N. Sredojević (2539603)

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Exploring Semi-Supervised Learning Algorithms for Camera Trap Images by Sajun, Ali Reza

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Identification of phantom movements with an ensemble learning approach by Akhan Akbulut (17380285)

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Sentiment Analysis of Emirati Dialect by A. Al Shamsi, Arwa

Subjects: “…corpus; Emirati dataset; Arabic dialects; sentiment analysis; classification; classifiers…”
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A Multimodal Approach to Improve Performance Evaluation of Call Center Agent by Ahmed , Abdelrahman

Subjects: “…performance modeling; multimodal classification; BiLSTM; CNNs; attention layer…”
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MOTIVATIONAL FACTORS UNDERLYING THE INTENTION OF HERBAL SOAP ENTREPRENEURS TO OBTAIN HALAL CERTIFICATE IN MALAYSIA by Mokhtar, Mazita

“…The goal of this study is to determine the motivation factors underlying Herbal soap entrepreneurs‘ intention to obtain Halal certificate in Malaysia. This is a quantitative study that employs questionnaires as a research tool and uses Dimaggio and Powell's (1983) model on institutional theory to study the intention of Herbal soap entrepreneur in getting Halal certificate. …”
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Fault detection and classification in hybrid energy-based multi-area grid-connected microgrid clusters using discrete wavelet transform with deep neural networks by S. N. V. Bramareswara Rao (21768302)

“…<p dir="ltr">Microgrid control and operation depend on fault detection and classification because it allows quick fault separation and recovery. …”

EEG-Based Multi-Level Mental State Classification Using Partial Directed Coherence and Graph Convolutional Networks: Impact of Binaural Beats on Stress Mitigation by Badr, Yara

“…PDC connectivity showed a shift to the temporal region during mitigation, indicating a return to a more balanced state. GCN classification achieved accuracies of 76.43 ± 9.01% and 76.32 ± 7.79% for each group, and 76.37 ± 8.40% for a common baseline. …”
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