Enhancing waste sorting and recycling efficiency: robust deep learning-based approach for classification and detection by Faizul Rakib Sayem (21399890)

Do detection-based warning strategies improve vehicle yielding behavior at uncontrolled midblock crosswalks? by Qinaat Hussain (15294164)

The Detection of Dysarthria Severity Levels Using AI Models: A Review by Afnan Al-Ali (16888695)

Using machine learning algorithm for detection of cyber-attacks in cyber physical systems by Almajed, Rasha

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Artificial intelligence based anomaly detection of energy consumption in buildings: A review, current trends and new perspectives by Yassine Himeur (14158821)

“…In this regard, this paper is an in-depth review of existing anomaly detection frameworks for building energy consumption based on artificial intelligence. …”

Internet Searches for Medical Symptoms Before Seeking Information on 12-Step Addiction Treatment Programs: A Web-Search Log Analysis by George Nitzburg (18614989)

“…Specifically, symptom queries were first determined to be significantly predictive of subsequent 12-step queries if the probability of querying a medical symptom by those who later sought information about the 12-step program exceeded the probability of that same query being made by a comparison group of all other Bing users in the United States. …”

Genetic-Algorithm-Based Neural Network for Fault Detection and Diagnosis: Application to Grid-Connected Photovoltaic Systems by Amal Hichri (21383672)

“…<p dir="ltr">Modern photovoltaic (PV) systems have received significant attention regarding fault detection and diagnosis (FDD) for enhancing their operation by boosting their dependability, availability, and necessary safety. …”

Reduced neural network based ensemble approach for fault detection and diagnosis of wind energy converter systems by Khaled Dhibi (16891524)

“…On the other hand, ensemble learning (EL) techniques have gained significant attention from the scientific community. …”

Applications of bioconvection for tiny particles due to two concentric cylinders when role of Lorentz force is significant by Lei Zhang (38117)

CO, CO2, and SO2 detection based on functionalized graphene nanoribbons: First principles study by Ehab, Salih

“…In this study, density functional theory (DFT) has been used to build armchair graphene nanoribbon (AGNR) gas sensor and study its capacity to detect carbon monoxide (CO), carbon dioxide (CO2), and sulfur dioxide (SO2) gases. …”
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Assessing uncertainty in image-based monitoring: addressing false positives, false negatives, and base rate bias in structural health evaluation by Vagelis Plevris (14158863)

“…<p dir="ltr">This study explores the limitations of image-based structural health monitoring (SHM) techniques in detecting structural damage. …”

Decreased Interfacial Dynamics Caused by the N501Y Mutation in the SARS-CoV-2 S1 Spike:ACE2 Complex by Wesam S. Ahmed (10170053)

“…<p dir="ltr">Coronavirus Disease of 2019 (COVID-19) caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has resulted in a massive health crisis across the globe, with some genetic variants gaining enhanced infectivity and competitive fitness, and thus significantly aggravating the global health concern. …”

Eco-friendly paper-based colorimetric sensor for portable and rapid detection of lead (II) ions in aqueous environment by N. M. Poovadichalil (22927906)

“…<p dir="ltr">Lead contamination in water bodies poses significant environmental and health risks, necessitating effective detection methods. …”

Self-DSNet: A Novel Self-ONNs Based Deep Learning Framework for Multimodal Driving Distraction Detection by Mamun Or Rashid (21976373)

“…The combined data approach achieved a 95.13% accuracy in detecting driving distractions. Specifically, the binary classification yielded a 96.58% accuracy with vision-based data, which increased to 97.31% when steering, breathing rate, and heart rate data were included. …”

Indomethacin as a Rescue Therapy for Patent Ductus Arteriosus in Extremely Premature Infants after Failed Ibuprofen Treatment by Amal Sabouni (17046236)

“…<p dir="ltr">Hemodynamically significant patent ductus arteriosus (hsPDA) is a major cause of neonatal morbidity and mortality in extremely low birth weight (ELBW) infants. …”

Notch Signaling Inhibition by LY411575 Attenuates Osteoblast Differentiation and Decreased Ectopic Bone Formation Capacity of Human Skeletal (Mesenchymal) Stem Cells by Nihal AlMuraikhi (6002234)

“…Among the tested molecules, LY411575, a potent γ-secretase and Notch signaling inhibitor, exhibited significant inhibitory effects on osteoblastic differentiation of hBMSCs manifested by reduced ALP activity, mineralized matrix formation, and decreased osteoblast-specific gene expression as well as in vivo ectopic bone formation. …”

L1-CAM knock-down radiosensitizes neuroblastoma IMR-32 cells by simultaneously decreasing MycN, but increasing PTEN protein expression by Rached, Johnny

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Temporal fusion transformer-based prediction in aquaponics by Ahmet Metin (12832543)

A Novel Features-Based Multivariate Gaussian Distribution Method for the Fraudulent Consumers Detection in the Power Utilities of Developing Countries by Ammar Yousaf Kharal (16891470)

“…It integrates novel features like social class stratification and the weather profile of an area. Thus, achieving a significant improvement in fraudulent consumer detection. …”

Intrusion Detection for Wireless Sensor Network Using Particle Swarm Optimization Based Explainable Ensemble Machine Learning Approach by Shaikh Afnan Birahim (22303750)