Correlation of Immunological and Histopathological Features with Gene Expression-Based Classifiers in Colon Cancer Patients by Simone van de Weerd (18282199)

“…<div><p>The purpose of this study was to evaluate the association between four distinct histopathological features: (1) tumor infiltrating lymphocytes, (2) mucinous differentiation, (3) tumor-stroma ratio, plus (4) tumor budding and two gene expression-based classifiers—(1) consensus molecular subtypes (CMS) plus (2) colorectal cancer intrinsic subtypes (CRIS). …”

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

Novel algorithms for accurate DNA base-calling by Mohammed, Omniyah Gul

“…Discriminative features that characterize each chromatogram trace were subsequently extracted and subjected to the chosen classifiers to categorize the events to their respective base classes. …”
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Developing an online hate classifier for multiple social media platforms by Joni Salminen (7434770)

“…While all the models significantly outperform the keyword-based baseline classifier, XGBoost using all features performs the best (F1 = 0.92). …”

Learning-Based Automatic Modulation Classification by Abdelmutalab, Ameen Elsiddig

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Tamp-X: Attacking explainable natural language classifiers through tampered activations by Hassan Ali (3348749)

“…Through extensive experimentation, we show that the explanations generated for the tampered classifiers are not reliable, and significantly disagree with those generated for the untampered classifiers despite that the output decisions of tampered and untampered classifiers are almost always the same. …”

Learning-Based Spectrum Sensing and Access for Cognitive Radio Systems by Shehabeldin, Menatalla Diaaeldin

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Plant Disease Classifier: Detection of Dual-Crop Diseases Using Lightweight 2D CNN Architecture by Hasibul Islam Peyal (17983828)

“…The purpose of this work is to categorize 14 classes for both cotton and tomato crops, with 12 diseased classes and two healthy classes using a deep learning-based lightweight 2D CNN architecture and to implement the model in an android application named “Plant Disease Classifier” for smartphone-assisted plant disease diagnosis system, the results of the experiments reveal that the proposed model outperforms the pre-trained models VGG16, VGG19 and InceptionV3 despite having fewer parameters. …”

Natural resource dependence and war nexus: new insights by Al Shami, Farah

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Morphological changes in amblyopic eyes in choriocapillaris and Sattler’s layer in comparison to healthy eyes, and in retinal nerve fiber layer in comparison to fellow eyes through... by Masri, Oussama Samer

“…Purpose Establishing the reliability of a new method to check the mean retinal and choroidal reflectivity and using it to find retinal and choroid changes in amblyopia. …”
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Aspect-based sentiment analysis using smart government review data by Alqaryouti , Omar

“…According to the reported results, the aspect extraction accuracy improves significantly when the implicit aspects are considered. …”
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Functional GO-based membranes for water treatment and desalination: Fabrication methods, performance and advantages. A review by Abedalkader Alkhouzaam (15842647)

“…<p dir="ltr">Graphene oxide (GO) and GO-based materials have gained a significant interest in the membrane synthesis and functionalization sector in the recent years. …”

When Should a Brain MRI Be Performed in Children with New-Onset Seizures? Results of a Large Prospective Trial by Hourani, R.

“…Univariate analysis showed a significant increase in the frequency of epileptogenic lesions with decreasing age, the presence of developmental delay, and the number and types of seizures at presentation. …”
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Fourier-Transform Infrared Imaging Spectroscopy and Laser Ablation -ICPMS New Vistas for Biochemical Analyses of Ischemic Stroke in Rat Brain by Mohamed H. M. Ali (5768066)

“…</p><p dir="ltr"><br></p><h3>Results</h3><p dir="ltr">The FTIR results revealed that in the lesioned gray matter the relative distribution of lipid, lipid acyl and protein contents decreased significantly. Also at this locus, there was a significant increase in aggregated protein as detected by high-levels Aβ1-42. …”

DNA Base-Calling Techniques by Odeh, Fadi

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Environment, Education, and Personality Innovation Based Index by Al Qawasmi, Mahmoud Ghandi Mahmoud

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Deep Learning for Arabic Error Detection and Correction by ALKHATIB, MANAR

“…We have developed a systematic framework for spelling and grammar error detection, as well as correction at the word level, based on a bidirectional long short-term memory mechanism and word embedding, in which a polynomial network classifier is at the top of the sys tem. …”
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Multilayer Reversible Data Hiding Based on the Difference Expansion Method Using Multilevel Thresholding of Host Images Based on the Slime Mould Algorithm by Abu Zitar, Raed

“…One of the well-known designs of RDH is the difference expansion (DE) method. In the DE-based RDH method, finding spaces that create less distortion in the marked image is a significant challenge, and has a high insertion capacity. …”
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Exploiting Functional Discourse Grammar to Enhance Complex Arabic Relation Extraction using a Hybrid Semantic Knowledge Base - Machine Learning Approach by OSMAN, TAHA

“…The initial relation extraction mechanism was further extended by integrating its output into a Machine Learn ing classifier that facilitated extracting especially complex relations with significant disparity in the relation elements’ presence, order, and correlation. …”
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Machine Learning Based Palm Farming: Harvesting and Disease Identification by Khan, Sana Z.

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