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. …”

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

“…When the improved iterative filtering process was initialized by the nonlocal mean filter, for few iterations, the filtering performances were improved. …”
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Detecting Arabic Cyberbullying Tweets in Arabic Social Using Deep Learning by ALFALASI, FARIS Jr

“…Pre-processing is a vital part of the data preparation process for cyberbullying detection. …”
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Bridge Structural Health Monitoring Using Mobile Sensor Networks by Amin, Fouad

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Detecting and Predicting Archaeological Sites Using Remote Sensing and Machine Learning—Application to the Saruq Al-Hadid Site, Dubai, UAE by Ben Romdhane, Haifa

“…An integrated approach, featuring the application of advanced image processing techniques and geospatial analysis using machine learning, was adopted to characterise the site while automating the process and investigating its applicability. …”
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Recent Advances of Chimp Optimization Algorithm: Variants and Applications by Daoud, Mohammad Sh.

“…The applications belong to the domains of economics, image processing, engineering, neural network, power and energy, networks, etc. …”
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From lab to pilot: Predicting and validating caffeine and DEET removal from treated greywater using response surface methodology and artificial neural networks by Jasir Jawad (17191468)

“…The ANN model demonstrated better prediction and trend capturing than the RSM model when subjected to pilot-scale data. The study demonstrated that models developed from lab-scale data, particularly ANN, can be effectively applied to design, optimize, and control pilot-scale ozonation experiments.…”

Detecting and Predicting Archaeological Sites Using Remote Sensing and Machine Learning—Application to the Saruq Al-Hadid Site, Dubai, UAE by Ben-Romdhane, Haïfa

“…An integrated approach, featuring the application of advanced image processing techniques and geospatial analysis using machine learning, was adopted to characterise the site while automating the process and investigating its applicability. …”
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Eye-Clustering: An Enhanced Centroids Prediction for K-means Algorithm by Nasser, Youssef

“…The proposed method, named Eye-means, emulates the natural ocular process of estimating initial centroids. To achieve this goal, supervised machine learning was employed to train models on graphs with labeled data points, where each graph contains a set of points and a label indicating the centroid determined by K-means. …”
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Kinetic and thermodynamic study of phosphate removal from water by adsorption onto (Arundo donax) reeds by Abdelhay, Arwa

“…The negative values of (ΔG) and (ΔH) obtained from the thermodynamic study, indicted that the adsorption process is spontaneous and exothermic. The experimental adsorption data were analyzed using three kinetic models: pseudo-first order, pseudo-second order, and intra-particle diffusion model. …”
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Director Engagement with Corporate Purpose: The Contribution and Potential of Institutional Investors by Neri, Selina

“…I offer an original contribution to knowledge in the area of strategic cognition and corporate governance by presenting an initial model of director engagement as a strategic cognition process of knowing and understanding corporate purpose. …”
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Study of the Impact of Land Use and Land Cover (LULC) Changes on local climate in Six Mega Global Cities in the 21st Century by Sabobeh, Lara Ali

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Mesoporous biohybrid epichlorohydrin crosslinked chitosan/carbon–clay adsorbent for effective cationic and anionic dyes adsorption by F. Marrakchi (17115718)

“…The adsorption of MB and AB 29 on CS40CC60 was carried out in a batch process to investigate the effects of initial dye concentration (25–400 mg/L), initial pH (3−11), contact time and adsorption temperature (30, 40 and 50 °C). …”

A Novel Encryption Method for Dorsal Hand Vein Images on a Microcomputer by M. Z. Yildiz (16855476)

“…The encrypted images were analyzed with histogram, correlation, entropy, pixel change rate (NPCR), initial condition sensitivity, data loss, and noise attacks which are frequently used for security analyses in the literature. …”

P. putida as biosorbent for the remediation of cobalt and phenol from industrial waste wastewaters by Majeda Khraisheh (1349376)

“…Results showed that the Langmuir model was the best fitted model for the experimental data over the whole range tested for both the phenol and Co adsorption indicating a monolayer behavior of the consumption process. …”

Value Co-creation through Social Media Platforms in Hotel Industry: Constructivist Grounded Theory by MOSA, AMANY ABDELKADER SAAD ABDELAATY

“…The primary data is analyzed through three-stage coding represented by initial line-by-line, focused, and theoretical coding employed in the data analysis process, in line with the postulates of the Constructivist Grounded Theory paradigm. …”
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Emission monitoring systems using Artificial Neural Networks by Ahmed, Suraj-deen Iliyas

“…On a final note, real plant's data were archived from an industrial process that produces ample amount of emission; the data were used to develop a model for the process using the modeling techniques highlighted above. …”
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How effective is phonological awareness training for preschoolers with speech and language difficulties? Exploring the perspectives of teachers working in preschool settings in Dub... by O’NEILL, LEAH MARIE

“…Thematic analysis was applied and involved a process of manual coding to construct and interpret themes based on patterns that emerged from the data reflecting preschool teachers' perspectives. …”
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Delay to Projects - Cause, Effect and Measures to Reduce/Eliminate Delay by Mitigation/Acceleration by Saeed, Shaikh Asif Abdus

“…The methodology implemented is acquisition of key data and justifying by providing adequate reasons regarding the data. …”
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Continuous Speech Recognition for the Lebanese Dialect: A Transfer Learning Approach by El Osta, Aya Mohamad-Atef

“…By fine-tuning Whisper pre-trained model on Lebanese data, significant progress was achieved with a WER of 38% and a stable validation loss. …”
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