Mohammed Alarfaj
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View article: Deep learning approaches for diagnosing seizure based on EEG signal analysis
Deep learning approaches for diagnosing seizure based on EEG signal analysis Open
Introduction Epilepsy is diagnosed in about 1% of the world’s population as a common brain disease. Timely prediction and detection of seizures can significantly improve the lives of epilepsy patients. Methods The study has garnered consid…
View article: Methamphetamine use and suicide risk: a comprehensive case–control study
Methamphetamine use and suicide risk: a comprehensive case–control study Open
Introduction Potent stimulants, such as methamphetamine, exert powerful psychological and physiological effects that could affect suicide risks. Therefore, the aim of this study was to investigate whether methamphetamine use is independent…
View article: Diagnosis of epileptic seizure neurological condition using EEG signal: a multi-model algorithm
Diagnosis of epileptic seizure neurological condition using EEG signal: a multi-model algorithm Open
Introduction Affecting millions of individuals worldwide, epilepsy is a neurological condition marked by repeated convulsions. Monitoring brain activity and identifying seizures depends much on electroencephalography (EEG). An essential st…
View article: Enhancing Seizure Detection Accuracy in Wearable EEG Devices Using Deep Learning Algorithms
Enhancing Seizure Detection Accuracy in Wearable EEG Devices Using Deep Learning Algorithms Open
Wearable electroencephalography (EEG) devices for seizure detection accuracy and reliability are deep learning (DL) applications in the field of epilepsy diagnosis. In this study, we sought to increase the accuracy of seizure detection usi…
View article: Wearable sensors based on artificial intelligence models for human activity recognition
Wearable sensors based on artificial intelligence models for human activity recognition Open
Human motion detection technology holds significant potential in medicine, health care, and physical exercise. This study introduces a novel approach to human activity recognition (HAR) using convolutional neural networks (CNNs) designed f…
View article: Experience of Project-Based Learning: Challenges, Assessment, and Analysis
Experience of Project-Based Learning: Challenges, Assessment, and Analysis Open
Though theoretical knowledge is essential, there is a growing belief that when teaching applied sciences, particularly engineering, a great emphasis should be placed on the development of students’ practical skills. Therefore, some courses…
View article: Machine learning based prediction models for spilt tensile strength of fiber reinforced recycled aggregate concrete
Machine learning based prediction models for spilt tensile strength of fiber reinforced recycled aggregate concrete Open
The demand for concrete production has led to a significant annual requirement for raw materials, resulting in a substantial amount of waste concrete. In response, recycled aggregate concrete has emerged as a promising solution. However, i…
View article: Postures anomaly tracking and prediction learning model over crowd data analytics
Postures anomaly tracking and prediction learning model over crowd data analytics Open
Innovative technology and improvements in intelligent machinery, transportation facilities, emergency systems, and educational services define the modern era. It is difficult to comprehend the scenario, do crowd analysis, and observe perso…
View article: AAL and Internet of Medical Things for Monitoring Type-2 Diabetic Patients
AAL and Internet of Medical Things for Monitoring Type-2 Diabetic Patients Open
Due to an aging population, assisted-care options are required so that senior citizens may maintain their independence at home for a longer time and rely less on caretakers. Ambient Assisted Living (AAL) encourages the creation of solution…
View article: Automatic Anomaly Monitoring in Public Surveillance Areas
Automatic Anomaly Monitoring in Public Surveillance Areas Open
With the dramatic increase in video surveillance applications and public safety measures, the need for an accurate and effective system for abnormal/suspicious activity classification also increases. Although it has multiple applications, …
View article: Arduino Uno Wi-Fi DeMilitarized Zone-based monitoring of solar photovoltaic systems
Arduino Uno Wi-Fi DeMilitarized Zone-based monitoring of solar photovoltaic systems Open
Due to global warming, governments around the world are focusing on renewable energy as the main source of energy. Gulf countries in particular, are focusing on solar energy due to its abundance and the gulf geolocation that allows the ins…
View article: MS-DLD: Multi-Sensors Based Daily Locomotion Detection via Kinematic-Static Energy and Body-Specific HMMs
MS-DLD: Multi-Sensors Based Daily Locomotion Detection via Kinematic-Static Energy and Body-Specific HMMs Open
More adaptable and user-independent techniques are required for multi-sensors based daily locomotion detection (MS-DLD). This research study proposes a couple of locomotion detection methods using body-worn multi-sensors to successfully ca…
View article: Sensors-Based Ambient Assistant Living via E-Monitoring Technology
Sensors-Based Ambient Assistant Living via E-Monitoring Technology Open
Independent human living systems require smart, intelligent, and sustainable online monitoring so that an individual can be assisted timely. Apart from ambient assisted living, the task of monitoring human activities plays an important rol…
View article: Deep Human Motion Detection and Multi-Features Analysis for Smart Healthcare Learning Tools
Deep Human Motion Detection and Multi-Features Analysis for Smart Healthcare Learning Tools Open
Unhealthy lifestyle causes several chronic diseases in humans. Many products are introduced to avoid such illnesses and provide e-learning-based healthcare services. However, the main focus is still on providing comfortable and reliable so…
View article: Human Pose Estimation and Object Interaction for Sports Behaviour
Human Pose Estimation and Object Interaction for Sports Behaviour Open
In the new era of technology, daily human activities are becoming more challenging in terms of monitoring complex scenes and backgrounds. To understand the scenes and activities from human life logs, human-object interaction (HOI) is impor…
View article: An Intelligent Framework for Recognizing Social Human-Object Interactions
An Intelligent Framework for Recognizing Social Human-Object Interactions Open
Human object interaction (HOI) recognition plays an important role in the designing of surveillance and monitoring systems for healthcare, sports, education, and public areas. It involves localizing the human and object targets and then id…
View article: Syntactic model-based human body 3D reconstruction and event classification via association based features mining and deep learning
Syntactic model-based human body 3D reconstruction and event classification via association based features mining and deep learning Open
The study of human posture analysis and gait event detection from various types of inputs is a key contribution to the human life log. With the help of this research and technologies humans can save costs in terms of time and utility resou…
View article: Image-tag-based indoor localization using end-to-end learning
Image-tag-based indoor localization using end-to-end learning Open
Image or feature matching-based indoor localization still faces many technical challenges. Image-tag-based schemes using pose estimation are accurate and robust, but they still cannot be deployed widely because their performance degrades s…
View article: An LSTM-Based Approach for Understanding Human Interactions Using Hybrid Feature Descriptors Over Depth Sensors
An LSTM-Based Approach for Understanding Human Interactions Using Hybrid Feature Descriptors Over Depth Sensors Open
Over the past few years, automatic recognition of human interactions has drawn significant attention from researchers working in the field of Artificial Intelligence (AI). And feature extraction is one of the most critical tasks in develop…
View article: Effect of Health Information Websites on Healthcare Facility Visits in the Eastern Province of Saudi Arabia
Effect of Health Information Websites on Healthcare Facility Visits in the Eastern Province of Saudi Arabia Open
Introduction: The internet has been widely available with 18 million users in Saudi Arabia alone. The rapid growth of internet use has proven to affect healthcare. The main objective was to determine a correlation between health-related in…
View article: Subarray hybrid precoding with finite‐resolution PSs for massive MIMO capacity maximisation
Subarray hybrid precoding with finite‐resolution PSs for massive MIMO capacity maximisation Open
The addition of analogue processing to the digital precoding, known as hybrid beamforming (HB), is an efficient solution for massive multiple‐input multiple‐output (MIMO) systems. The design of a phase shifter (PS) network plays an importa…