Mining Student Information System Records to Predict Students’ Academic Performance by ABU SAA, AMJED TARIQ MOHAMMAD

“…Additionally, the results also indicated that the most common data mining techniques used to predict and classify students’ factors are decision trees, Naïve Bayes, and artificial neural networks. …”
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Dietary Curcumin Nanoparticles Improve Growth Performance, Oxidative Status and Immune Response of European Seabass (<i>Dicentrarchus Labrax</i>) by Albandari Bin-Ammar (16381128)

“…Growth performance (final body weight (FBW), daily weight gain (DWG), weight gain (WG), relative growth rate (RGR), and protein efficiency ratio (PER)) and feed uptake (feed conversion rate (FCR)) were improved significantly in CURNPs (100 and 150 mg/ kg)-supplemented groups. …”

Data-Driven Detection of Electricity Theft Cyberattacks in PV Generation by Shaaban, Mostafa

“…We adopt an anomaly detection approach where a theft detection unit (TDU) based on a regression tree model is designed to detect suspicious data. …”
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Malicious URL and Intrusion Detection using Machine Learning by Hamza, Amr

“…Cyberattacks are becoming increasingly sophisticated and evolving danger to the Web users. …”
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An easy-to-use scalable framework for parallel recursive backtracking by Abu-Khzam, Faisal N.

“…The key idea behind this framework is the use of an indexed search tree approach that is oblivious to the problem being solved. …”
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Internet Searches for Medical Symptoms Before Seeking Information on 12-Step Addiction Treatment Programs: A Web-Search Log Analysis by George Nitzburg (18614989)

“…Second, we examined symptom queries preceding queries on the 12-step program at time lags of 0-7 days, 7-14 days, and 14-30 days, where the probability of asking about a medical symptom was greater in the 30-day time window preceding 12-step program information-seeking as compared to all previous times that the symptom was queried.…”

Multi-class subarachnoid hemorrhage severity prediction: addressing challenges in predicting rare outcomes by Muhammad Mohsin Khan (22150360)

“…This study addresses the challenges of imbalanced data in SAH severity classification by employing the Modified Rankin Scale (MRS) within a three-stage classification framework. We utilize a three-stage approach to effectively categorize SAH severity. …”

Biodegradable polysaccharide grafted polyacrylamide inhibitor for corrosion in CO₂- saturated saline solution by Rem Jalab (11715205)

“…Nevertheless, the AGGPAM-inhibited solution exhibited a corrosion rate of 26.7 mils per year at 50 °C, which is still lower than that of blank at 25 °C. …”

On scalable parallel recursive backtracking by Abu-Khzam, Faisal N.

“…The key idea behind our approach is the use of efficient traversal operations on an indexed search tree that is oblivious to the problem being solved. …”
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XML Grammar Matching and Comparison: Technical Report by Tekli, Joe

“…We propose an extensible framework based on the concept of tree edit distance, integrating different matching criterions so as to capture XML grammar element semantic and syntactic similarities, cardinality and alternativeness constraints, as well as data-type correspondences and relative ordering. …”
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Just-in-time defect prediction for mobile applications: using shallow or deep learning? by Raymon van Dinter (10521952)

“…Experimental results demonstrated that DL algorithms leveraging sampling methods perform significantly worse than the decision tree-based ensemble method. The XGBoost-based model appears to be 116 times faster than the multilayer perceptron-based (MLP) prediction model. …”

Location matters: spatial dynamics of tumor-infiltrating T cell subsets is prognostic in colon cancer by Hehuan Zhu (4808445)

“…We demonstrated an increase in immune cell density and a decrease in the distance of CD3⁺CD8⁺ T cells to the nearest tumor cell, in the immune active, ICR High, immune subtypes. …”

A Comprehensive Method of Ion Exchange Resins Regeneration and Its Optimization for Water Treatment by Al-Asheh, Sameer

“…The strong acidic cation polymeric exchanger resin is commercially called MERCK 104765 cation exchanger IV with capacity greater than 3.2 mmol/ml, while the strong basic anion polymeric exchanger resin is commercially called MERCK 104767 anion exchanger III with capacities greater than 1.0 mmol/ml. …”
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FPGA-Based Network Traffic Classification Using Machine Learning by Elnawawy, Mohammed

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Trade Flow and Nation Brand Distance: A Structural Gravity Model Approach by AL BESHER, HUDA ISMAIL

“…The NBD is calculated based on Country Brand Strength Index (CBSI) which consists of relative values per capita of the statistical data for five different areas that composite the index, which includes the dimensions of exports, tourism, foreign direct investment, immigration, and government environment. …”
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The global, regional, and national burden of stomach cancer in 195 countries, 1990–2017: a systematic analysis for the Global Burden of Disease study 2017 by Arash Etemadi (330880)

“…The highest age-standardised incidence rates in 2017 were seen in the high-income Asia Pacific (29·5, 28·2–31·0 per 100 000 population) and east Asia (28·6, 27·3–30·0 per 100 000 population) regions, with nearly half of the global incident cases occurring in China. …”

Surgical Strategies for Synchronous Colorectal Liver Metastases in 156 Consecutive Patients by Bouquet, Antoine

“…Background An increasing number of patients with synchronous colorectal liver metastases (CLM) are candidates for resection. …”
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A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method by Amit Kumar Balyan (18288964)

“…<p dir="ltr">Due to the rapid growth in IT technology, digital data have increased availability, creating novel security threats that need immediate attention. …”

A Novel Versatile Framework for Enabling Early Detection of Evolving Network-based Cyberattacks by THOMAS, RAJESH

“…Network-based cyber-attacks have been increasing in scale, frequency and sophistication, posing significant threats to nation states and organizations worldwide. …”
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Behavior-Based Machine Learning Approaches to Identify State-Sponsored Trolls on Twitter by Saleh Alhazbi (16869960)

“…Based on these features, we developed four classification models to identify political troll accounts, these models are based on decision tree, random forest, Adaboost, and gradient boost algorithms. …”