A Machine Learning Approach to Predicting Diabetes Complications by Jian, Yazan Khaled

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Predicting User Behavior over the Web by Al Safadi, Amal Adnan

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A systematic review of Arabic text classification: areas, applications, and future directions by Wahdan, Ahlam

“…The ATC phases were organized into five categories: corpus creation, preprocessing (stemming and tokenization), feature selection, feature extraction, and classifiers/approaches. …”
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An approach to offline Arabic character recognition using neural networks by Nawaz, S.N.

“…The main features of the system are preprocessing of the text, segmentation of the text to individual characters, Feature extraction using centralized moments technique and recognition using RBF Network. …”
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Glove-Based Continuous Arabic Sign Language Recognition in User-Dependent Mode by Tubaiz, Noor Ali

“…Low-complexity preprocessing and feature extraction techniques are applied to capture and emphasize the temporal dependency of the data. …”
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Sentiment Analysis of Emirati Dialect by A. Al Shamsi, Arwa

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A novel approach for skew estimation of document images in OCR system by Sarfraz, M.

“…There have been many stages in a typical OCR system, preprocessing stage in considered to be indispensable. …”
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Multi-Classifier Tree With Transient Features for Drift Compensation in Electronic Nose by Atiq Ur Rehman (8843024)

“…In this paper, these two problems of `sensors long term drift' and `delayed response' are solved simultaneously to propose a robust and fast electronic nose system, with following merits: (i) only initial transient state features are used in the proposed system without waiting for the sensors to reach a steady state, (ii) a modified boxplot approach is used to handle noisy/drifted data points as a preprocessing step before the classification setup, (iii) a heuristic tree classification approach with optimized transient features is proposed, (iv) the proposed approach only relies on adapted ML methods contrary to the traditional approaches like system recalibration or sensors replacement for handling sensors drift, and (v) the proposed ML model does not require any target domain data and uses only the source domain data for learning the classifier, opposed to the other ML solutions available in the existing literature. …”

SVM-based control chart for Quality 4.0 by Abdelwahid, Issra M.

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Suspicious Behavior Detection with Temporal Feature Extraction and Time-Series Classification for Shoplifting Crime Prevention by Nazir, Amril

“…Furthermore, our method achieved these results without requiring expensive data augmentation or image feature extraction.…”
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Leveraging Network Traffic Byte-Streams for Machine Learning Based Early Botnet Attack Detection by Rajesh Thomas

“…However, they require complex data preprocessing and feature extraction which can affect the early detection of botnet attacks. …”
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Arabic Dialect Speech-Text Recognition Using Deep Learning by RAEIALBOOM, OMAR SALEH DARWISH

“…The research begins with a comprehensive preprocessing process, which involves loading audio data, extracting features using Mel-Frequency Cepstral Coefficients (MFCCs), and encoding labels. …”
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Smart aquaponics: An innovative machine learning framework for fish farming optimization by Amith Khandakar (14151981)

“…The study focuses on predicting the length and weight of fish species by analyzing different environmental parameters, including pH, ammonia, and nitrate levels. Data preprocessing integrates nearest-neighbor interpolation and feature standardization to ensure quality and consistency. …”

A Comprehensive Machine and Deep Learning Approach for Aerosol Optical Depth Forecasting: New Evidence from the Arabian Peninsula by Ahmad Qadeib Alban (16855206)

“…Additionally, we explore the impact of feature extraction and their different types on the forecasting performance of each of the proposed models. Preprocessing of the data involves inputting missing values, data deseasonalization, and data normalization. …”

Predicting Calcein Release from Ultrasound-Targeted Liposomes: A Comparative Analysis of Random Forest and Support Vector Machine by Shomope, Ibrahim

“…The liposomes were characterized using Dynamic Light Scattering and Bicinchoninic Acid assays. Extensive data collection and preprocessing were performed. …”
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Automatic Recognition of Poets for Arabic Poetry using Deep Learning Techniques (LSTM and Bi-LSTM) by AL SHOUBAKI, HAMZA YOUNIS

“…Due to the complexity of Arabic poetry such as the excessive use of metaphors, figurative language, unlimited imagination, and the diversity of styles from one poet to another and from one poem to another, we tackle these challenges by careful employment of preprocessing steps, feature engineering and selection. …”
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Decision-level Gait Fusion for Human Identification at a Distance by Al-Tayyan, Amer

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A conjugate self-organizing migration (CSOM) and reconciliate multi-agent Markov learning (RMML) based cyborg intelligence mechanism for smart city security by S. Shitharth (12017480)

“…Here, the Quantized Identical Data Imputation (QIDI) mechanism is implemented at first for data preprocessing and normalization. …”

SPARQ: A Cyber-Resilient Voltage Regulation Using Soft Q-Learning Approach for Autonomous Grid Operations by Mohamed Massaoudi (16888710)

“…The proposed SQL-based control system incorporates adaptive preprocessing mechanisms to normalize observations and enhance policy robustness. …”

A decision support system for automating document retrieval and citation screening by Raymon van Dinter (10521952)

“…<p dir="ltr">The systematic literature review (SLR) process includes several steps to collect secondary data and analyze it to answer research questions. …”