Using XAI Techniques to Detect Targeted Data Poisoning Attacks on Healthcare Applications of Machine Learning Systems by Eyad Dhaher Megdadi

“…As machine learning becomes increasingly integrated into critical fields like healthcare, the integrity and security of training data have become paramount concerns. …”
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Early results of total hip arthroplasty using dual-mobility cup in patients with osteonecrosis of the femoral head by Assi, Chahine

“…The majority of these patients are young with high functional demand, and show an increased risk of dislocation following surgery than patients with osteoarthritis. …”
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Efficient Energy Management Strategy for Fuel Cell Hybrid Electric Vehicles Using Classifier Fusion Technique by Debasis Chatterjee (17983789)

“…Additionally, by combining these classifier techniques better performing EMS is developed. Using the proposed features, the optimisation approach’s performance accuracy is increased. …”

Transfer Learning and Sentiment Analysis of Lebanese Dialect Data using a Multilingual Deep Learning Approach by Chehade, Mira

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Superior Non-Invasive Glucose Sensor Using Bimetallic CuNi Nanospecies Coated Mesoporous Carbon by Ahmed Bahgat Radwan (17380297)

“…The prepared catalyst’s crystal structure and morphology were explored using X-ray diffraction and high-resolution transmission electron microscopy. …”

Mitigation of voltage imbalance in power distribution system using MPC‐controlled packed‐U‐cells converter by Ibrahim Ahmed (14778349)

“…<p dir="ltr">Delivering high power quality in single-phase distribution has witnessed more challenges especially with the increased penetration of single-phase distributed generation (DG). …”

Implicit Definition of Flow Patterns in Street Canyons—Recirculation Zone—Using Exploratory Quantitative and Qualitative Methods by Arsenios E. Chatzimichailidis (18891763)

“…<p dir="ltr">Air pollution is a major health hazard for the population that increasingly lives in cities. Street-scale Air Quality Models (AQMs) are a cheap and efficient way to study air pollution and possibly provide solutions. …”

Nutrient recovery and hydrogen production from wastewater by electrodialysis process: Optimization using response surface methodology by Sinan Ates (20884226)

“…<p>The increasing demand for energy, water, and nutrient management has attained interest in sustainable wastewater treatment processes. …”

In vitro regulation of quorum sensing in Pseudomonas aeruginosa using synthetic autoinducers By Hrag Dilabazian A thesis by Dilabazian, Hrag

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From time-series to 2D images for building occupancy prediction using deep transfer learning by Aya Nabil Sayed (17317006)

“…Energy conservation becomes essential since energy resources are scarce and human dependency on appliances is only exponentially increasing. While intrusive sensors (i.e., cameras and microphones) can raise privacy concerns, this paper presents an innovative non-intrusive occupancy detection approach using environmental sensor data (e.g., temperature, humidity, carbon dioxide (CO₂), and light sensors). …”

Long Term HbA1c Prediction Using Multi-Stage CGM Data Analysis by Md Shafiqul Islam (7010348)

“…Having an elevated HbA1c level significantly increases the risk of developing diabetes-related health complications. …”

Investigating physicians’ views on non-formulary prescribing: a qualitative study using the theoretical domains framework by Zachariah Nazar (8600154)

“…<div><h2>Background</h2> <p>Well-designed and well-maintained drug formularies serve as a reliable resource to guide prescribing decisions; they are associated with improved medicine safety and increased efficiency, while also serving as a cost-effective tool to help manage and predict medicine expenditure. …”

Hybrid piezoelectric-electromagnetic energy harvester using a nonlinear curved T-shaped beam for broadband applications by Mohammad Farhan (17017683)

“…The prototype was tested using a shaker and DAQ device for four different configurations of tip magnets with increasing mass and electromagnetic field density. …”

Biochar yield prediction using response surface methodology: effect of fixed carbon and pyrolysis operating conditions by Sabah Mariyam (14150859)

“…As such, the objective of this study is to develop a prediction model based on the biomass’ fixed carbon content (14–22%), reaction temperature (350–750 °C), and heating rate (5–10 °C/min) using the response surface methodology. Biomasses, date stones, spent coffee grounds, and cow manure have been used to design a Box-Behnken experiment based on the three factors for the biochar yield response. …”

Knee Angle Affects Posterior Chain Muscle Activation During an Isometric Test Used in Soccer Players by Paul James Read (14152221)

“…<div><p>Background: It has been suggested that altering the knee flexion angle during a commonly used supine isometric strength test developed with professional soccer players changes preferential hamstring muscle recruitment. …”

Solar power forecasting beneath diverse weather conditions using GD and LM-artificial neural networks by Sharma, Neetan

“…This paper aims to acknowledge the extended stellar forecasting algorithm using artificial neural network common sensical aspect. …”
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DiaNet v2 deep learning based method for diabetes diagnosis using retinal images by Hamada R. H. Al-Absi (16726299)

“…The aim of this study is to enhance diabetes diagnosis accuracy by developing an improved predictive model using retinal images from the Qatari population, addressing the limitations of current diagnostic methods. …”

Population Reference Values for Serum Methylmalonic Acid Concentrations and Its Relationship with Age, Sex, Race-Ethnicity, Supplement Use, Kidney Function and Serum Vitamin B12 in... by Vijay Ganji (8710491)

“…Aims of this study were to report the population reference values for serum MMA and to evaluate the relation between serum MMA and sex, age, race-ethnicity, kidney dysfunction and vitamin B-12. We used data from three National Health and Nutrition Examination Surveys, 1999–2000, 2001–2002 and 2003–2004 conducted after folic acid fortification commenced (n = 18,569). …”

Prediction of biogas production from chemically treated co-digested agricultural waste using artificial neural network by Fares Almomani (12585685)

“…An ANN model consists of three layers, 15 neutrons and 260 <i>epochs</i> accurately predict the CMP with 99.1% of data within ±10% deviation of the mean experimental value. The developed model can be used to forecast the CMP as a function of operating temperature, the substrate composition, and chemical dose, and can be used for scaling-up and cost analysis purposes.…”

Using Nearpod to Promote Engagement in Online ESL Classes: A Mixed-Methods Study in the Context of Higher Education by Alawadhi, Azza

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