Enhancing building sustainability: A Digital Twin approach to energy efficiency and occupancy monitoring حسب Aya Nabil Sayed (17317006)

"…Our data-driven occupancy detection approach utilized Machine Learning (ML) algorithms to intelligently determine room occupancy, allowing for precise energy management based on real-time usage patterns. …"

Application of updated joint detection algorithm for the analysis of drilling parameters of roof bolters in multiple joints conditions حسب Liu, Wenpeng

"…For this purpose, computer programs based on updated pattern recognition algorithms were developed for joint-detection and classification of rock types to offer an estimated strength. …"
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Building power consumption datasets: Survey, taxonomy and future directions حسب Yassine Himeur (14158821)

"…The latter will be very useful for testing and training anomaly detection algorithms, and hence reducing wasted energy. Moving forward, a set of recommendations is derived to improve datasets collection, such as the adoption of multi-modal data collection, smart Internet of things data collection, low-cost hardware platforms and privacy and security mechanisms. …"

A PLC based power factor controller for a 3-phase induction motor حسب Al-Ali, A.R.

"…Implementation of a software algorithm incorporates measuring the power factor angle, selecting the binary pattern according to the control strategy and sending command signals to switch the appropriate capacitors and protection switches. …"
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A TABU SEARCH APPROACH TO THE CLUSTERING PROBLEM حسب AlSultan, K.S.

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Iterative Least Squares Functional Networks Classifier حسب Faisal, Kanaan A

"…This paper proposes unconstrained functional networks as a new classifier to deal with the pattern recognition problems. Both methodology and learning algorithm for this kind of computational intelligence classifier using the iterative least squares optimization criterion are derived. …"
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An Improved Genghis Khan Optimizer based on Enhanced Solution Quality Strategy for Global Optimization and Feature Selection Problems حسب Abdel-Salam, Mahmoud

"…The primary goals of feature selection are to decrease the number of dimensions and enhance classification accuracy in many domains, such as text classification, large-scale data analysis, and pattern recognition. Several metaheuristics, such as the Genghis Khan Shark Optimizer Algorithm (GKSO), can assist in optimizing the FS issue. …"
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Enhanced DC Microgrid Protection: a Neural Network and Wavelet Transform Approach حسب El Gohary, Youssef Hesham

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

"…The accuracy of the movement pattern recognition in healthy people was up to 96.33%, this was at most 79.16% in amputees.…"

Lung nodule classification utilizing support vector machines حسب Mousa, W.A.H.

"…Many methods have been proposed in the literature such as neural network algorithms. Recently, support vector machines (SVMs) had received increasing attention for pattern recognition. …"
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Distinguishing Between Fake and Real Smiles Using EEG Signals and Deep Learning حسب Moussa, Mostafa Mohamed

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Gene selection for microarray data classification based on Gray Wolf Optimizer enhanced with TRIZ-inspired operators حسب Abu Zitar, Raed

"…The outcomes of the DNA microarray is a table/matrix, called gene expression data. Pattern recognition algorithms are widely applied to gene expression data to differentiate between health and cancerous patient samples. …"
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Enhancing Building Energy Management: Adaptive Edge Computing for Optimized Efficiency and Inhabitant Comfort حسب Sergio Márquez-Sánchez (19437985)

"…In response to these challenges, this article introduces a cutting-edge edge computing architecture grounded in virtual organizations, federated learning, and deep reinforcement learning algorithms, tailored to optimize energy consumption within buildings/homes and facilitate demand response. …"

SPA & MLST typing as epidemiological tools for the study of MRSA & MSSA Isolates in Lebanon. (c2009) حسب Rizk, Mazen

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

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Deep and transfer learning for building occupancy detection: A review and comparative analysis حسب Aya Nabil Sayed (17317006)

"…Thus, data-driven approaches to infer occupancy patterns usage are gaining growing interest in BIoT applications. …"