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View article: A dual-stage deep learning approach for robust detection and identification of hardware trojans using monte-carlo dropout
A dual-stage deep learning approach for robust detection and identification of hardware trojans using monte-carlo dropout Open
Hardware Trojans (HTs) pose a significant threat to the integrity and security of integrated circuits, particularly in critical systems where stealthy hardware modifications can lead to catastrophic consequences. Detecting such Trojans thr…
View article: AI-powered Glaucoma Management: Predicting the Optimal Surgical Treatment
AI-powered Glaucoma Management: Predicting the Optimal Surgical Treatment Open
Introduction: Glaucoma is the leading cause of irreversible blindness worldwide, and due to changing demographics leading to increased prevalence, pressure on ophthalmic services is growing rapidly in many countries. Recently there has bee…
View article: AI-Based Breast Cancer Detection System: Deep Learning and Machine Learning Approaches for Ultrasound Image Analysis
AI-Based Breast Cancer Detection System: Deep Learning and Machine Learning Approaches for Ultrasound Image Analysis Open
This work addresses the critical need for the early detection of breast cancer, a significant health concern worldwide. Using a combination of advanced deep learning and machine learning techniques, we offer a comprehensive solution to enh…
View article: AI-Based Breast Cancer Detection System
AI-Based Breast Cancer Detection System Open
This work addresses the critical need for early detection of breast cancer, a significant health concern worldwide. Through a combination of advanced deep learning and machine learning techniques, we offer a comprehensive solution to enhan…
View article: Rule-Based Modeling of Low-Dimensional Data with PCA and Binary Particle Swarm Optimization (BPSO) in ANFIS
Rule-Based Modeling of Low-Dimensional Data with PCA and Binary Particle Swarm Optimization (BPSO) in ANFIS Open
Fuzzy rule-based systems interpret data in low-dimensional domains, providing transparency and interpretability. In contrast, deep learning excels in complex tasks like image and speech recognition but is prone to overfitting in sparse, un…
View article: AI-Based Hardware Trojan Intrusion Detection System for IoT and Edge Devices
AI-Based Hardware Trojan Intrusion Detection System for IoT and Edge Devices Open
The proliferation of Internet of Things (IoT) and Edge devices in critical applications has exposed them to sophisticated Hardware Intrinsic Attacks (HIAs), where hidden trojans can be activated to trigger malicious behavior. Existing intr…
View article: Rule-Based Modeling of Low-Dimensional Data with Pca and Binary Particle Swarm Optimization (Bpso) in Anfis
Rule-Based Modeling of Low-Dimensional Data with Pca and Binary Particle Swarm Optimization (Bpso) in Anfis Open
View article: Predicting infarction growth rate II using ANFIS-based binary particle swarm optimization technique in ischemic stroke
Predicting infarction growth rate II using ANFIS-based binary particle swarm optimization technique in ischemic stroke Open
View article: Estimating Blood Glucose Levels Using Machine Learning Models with Non-Invasive Wearable Device Data
Estimating Blood Glucose Levels Using Machine Learning Models with Non-Invasive Wearable Device Data Open
In 2019 alone, Diabetes Mellitus impacted 463 million individuals worldwide. Blood glucose levels (BGL) are often monitored via invasive techniques as part of routine protocols. Recently, AI-based approaches have shown the ability to predi…
View article: Wearable AI Reveals the Impact of Intermittent Fasting on Stress Levels in School Children During Ramadan
Wearable AI Reveals the Impact of Intermittent Fasting on Stress Levels in School Children During Ramadan Open
Intermittent fasting has been practiced for centuries across many cultures globally. Recently many studies have reported intermittent fasting for its lifestyle benefits, the major shift in eating habits and patterns is associated with seve…
View article: Heart Rate as a Predictor of Challenging Behaviours among Children with Autism from Wearable Sensors in Social Robot Interactions
Heart Rate as a Predictor of Challenging Behaviours among Children with Autism from Wearable Sensors in Social Robot Interactions Open
Children with autism face challenges in various skills (e.g., communication and social) and they exhibit challenging behaviours. These challenging behaviours represent a challenge to their families, therapists, and caregivers, especially d…
View article: How does hemodynamics affect rupture tissue mechanics in abdominal aortic aneurysm: Focus on wall shear stress derived parameters, time-averaged wall shear stress, oscillatory shear index, endothelial cell activation potential, and relative residence time
How does hemodynamics affect rupture tissue mechanics in abdominal aortic aneurysm: Focus on wall shear stress derived parameters, time-averaged wall shear stress, oscillatory shear index, endothelial cell activation potential, and relative residence time Open
View article: Dataset of usage pattern and energy analysis of an Internet of Things-enabled ceiling fan
Dataset of usage pattern and energy analysis of an Internet of Things-enabled ceiling fan Open
Many electrical appliances have progressed from sheer prototypes to viable products by being automated with the help of sensors and Internet of Things (IoT). In this data driven century, there aren't many data-centric solutions for the eff…
View article: Integrated Assessment of Time-Averaged Wall Shear Stress, Oscillatory Shear Index, Endothelial Cell Activation Potential, and Relative Residence Time for Predicting Rupture Sites in Abdominal Aortic Aneurysms: A Retrospective Cross-Sectional Study
Integrated Assessment of Time-Averaged Wall Shear Stress, Oscillatory Shear Index, Endothelial Cell Activation Potential, and Relative Residence Time for Predicting Rupture Sites in Abdominal Aortic Aneurysms: A Retrospective Cross-Sectional Study Open
View article: iMIGS: An innovative AI based prediction system for selecting the best patient-specific glaucoma treatment
iMIGS: An innovative AI based prediction system for selecting the best patient-specific glaucoma treatment Open
View article: Performance of artificial intelligence models in estimating blood glucose level among diabetic patients using non-invasive wearable device data
Performance of artificial intelligence models in estimating blood glucose level among diabetic patients using non-invasive wearable device data Open
IntroductionDiabetes Mellitus (DM) is characterized by impaired ability to metabolize glucose for use in cells for energy, resulting in high blood sugar (hyperglycemia). DM impacted 463 million individuals worldwide in 2019, with over four…
View article: Wearable Artificial Intelligence for Assessing Physical Activity in High School Children
Wearable Artificial Intelligence for Assessing Physical Activity in High School Children Open
Eighty one percent of adolescents aged 11–17 years are inadequately physically active worldwide. Physical activity (PA) recommendations for high school children have not been studied previously in schools in the Qatar region. The objective…
View article: Machine Learning Approach to predict Metro Ridership based on Land Use Densities
Machine Learning Approach to predict Metro Ridership based on Land Use Densities Open
Predicting metro ridership is an essential requirement for efficient metro operation and management. The dependence of metro ridership on the land use densities entails a need for an accurate predictive model. To this end, the current stud…
View article: ANFIS-Net for automatic detection of COVID-19
ANFIS-Net for automatic detection of COVID-19 Open
Among the most leading causes of mortality across the globe are infectious diseases which have cost tremendous lives with the latest being coronavirus (COVID-19) that has become the most recent challenging issue. The extreme nature of this…
View article: Smart AMD Prognosis through cellphone: An Innovative Localized AI Based Prediction System for Anti-VEGF Treatment Prognosis in Nonagenarians and Centenarians.
Smart AMD Prognosis through cellphone: An Innovative Localized AI Based Prediction System for Anti-VEGF Treatment Prognosis in Nonagenarians and Centenarians. Open
Background and Objective Age-related macular-degeneration (AMD) is one of the most common reasons for blindness in the world today. The most common treatment for wet AMD is the intra-vitreal injections for inhibiting Vascular-Endothelial-D…
View article: Artificial Intelligence–Based Classification of Diabetic Peripheral Neuropathy From Corneal Confocal Microscopy Images
Artificial Intelligence–Based Classification of Diabetic Peripheral Neuropathy From Corneal Confocal Microscopy Images Open
Diabetic peripheral neuropathy (DPN) is characterized by pain and sensory loss, affecting approximately 50% of patients. Early identification and risk factor management are key to limiting progression of DPN. In contrast to retinopathy (re…
View article: ANFIS-Net for Automatic Detection of COVID-19
ANFIS-Net for Automatic Detection of COVID-19 Open
Among the most leading causes of mortality across the globe is infectious diseases. Human Immunodeficiency Virus infection and Acquired Immune Deficiency Syndrome (HIV/AIDS), H1N1 influenza and Poliomyelitis, Severe Acute Respiratory Syndr…
View article: Machine Learning Techniques for Detecting Attackers During Quantum Key Distribution in IoT Networks With Application to Railway Scenarios
Machine Learning Techniques for Detecting Attackers During Quantum Key Distribution in IoT Networks With Application to Railway Scenarios Open
Internet of Things (IoT) deployments face significant security challenges due to the limited energy and computational power of IoT devices. These challenges are more serious in the quantum communications era, where certain attackers might …
View article: Design and Implementation of a Quadruped Amphibious Robot Using Duck Feet
Design and Implementation of a Quadruped Amphibious Robot Using Duck Feet Open
Roaming complexity in terrains and unexpected environments pose significant difficulties in robotic exploration of an area. In a broader sense, robots have to face two common tasks during exploration, namely, walking on the drylands and sw…
View article: Securing Big Data from Eavesdropping Attacks in SCADA/ICS Network Data Streams through Impulsive Statistical Fingerprinting
Securing Big Data from Eavesdropping Attacks in SCADA/ICS Network Data Streams through Impulsive Statistical Fingerprinting Open
While data from Supervisory Control And Data Acquisition (SCADA) systems is sent upstream, it is both the length of pulses as well as their frequency present an excellent opportunity to incor-porate statistical fingerprinting. This is so, …
View article: Classification of Corneal Nerve Images using Machine Learning Techniques
Classification of Corneal Nerve Images using Machine Learning Techniques Open
Recent research shows that small nerve fiber damage is an early detector of neuropathy. These small nerve fibers are present in the human cornea and can be visualized through the use of a corneal confocal microscope. A series of images can…
View article: Adaptive Neuro-Fuzzy Inference System for Prediction of Surgery Time for Ischemic Stroke Patients
Adaptive Neuro-Fuzzy Inference System for Prediction of Surgery Time for Ischemic Stroke Patients Open
With the advent of machine learning techniques, creation and utilization of prediction models for different medical procedures including prediction of diagnosis, treatment and recovery of different medical conditions has become the norm. R…
View article: Design and Implementation of a Quadruped Amphibious Robot Using Duck Feet
Design and Implementation of a Quadruped Amphibious Robot Using Duck Feet Open
Roaming complexity in terrains and unexpected environments poses significant difficulties in robotic exploration of an area. In a broader sense, robots have to face two common tasks during exploration namely walking on the drylands and swi…
View article: Hierarchical Inspection System Using Visual and MFL Probe Robots
Hierarchical Inspection System Using Visual and MFL Probe Robots Open
Structural Health Monitoring (SHM) represents a critical appurtenance to modern engineering that amalgamates the skills and techniques from various disciplines of engineering and computational science. Modern civil architectures, involving…
View article: Robotic Probe Positioning System for Structural Health Monitoring
Robotic Probe Positioning System for Structural Health Monitoring Open
Structural health Monitoring (SHM) is a very critical component for sustainable civil and mechanical structures in modern urban settings. The sky-scrappers and huge bridges in modern metropolis today are essential aspects of the prosperity…