Mohammad Mehedi Hassan
Biographic Data
| ID | 5678323 |
|---|---|
| NAME | Mohammad Mehedi Hassan |
| GIVEN NAMES | Mohammad Mehedi |
| FAMILY NAME | Hassan |
| SIGNATURE | HASSAN M M |
| AFFILIATIONS | King Saud University |
| ORCID | 0000-0002-3479-3606 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
A novel framework for seasonal affective disorder detection
Seasonal Affective Disorder (SAD) is a mood disorder characterized by recurring depressive episodes during specific seasons, particularly in Fall and Winter. With the rise of social media as a platform for self-expression, user-generated content offers valuable insights into mental health trends, presenting an opportunity for data-driven SAD detection. However, existing research faces challenges such as limited multimodal datasets, class imbalanc…
Detection and Analysis of Fake News Users’ Communities in Social Media
The widespread use of social media platforms has led to an increase in the dissemination of fake news with the intention of manipulating public opinion and causing chaos and panic among the population. To address this issue, we focus on detecting the organized groups that participate together in fake news campaigns without prior knowledge of the news content or the profiles of social accounts. To this end, we propose a spatial–temporal similarity…
Human-Behavior-Based Personalized Meal Recommendation and Menu Planning Social System
The traditional dietary recommendation systems are basically nutrition or health-aware where the human feelings on food are ignored. Human affects vary when it comes to food cravings, and not all foods are appealing in all moods. It takes a lot of effort to learn people’s food preferences and make recommendations based on their affects and nutrition. A questionnaire-based and preference-aware meal recommendation system can be a solution. However,…
Adapting Gaussian Yolov3 with transfer learning for overhead view human detection in smart cities and societies
Cyberattacks Detection in IoT-Based Smart City Applications Using Machine Learning Techniques
In recent years, the widespread deployment of the Internet of Things (IoT) applications has contributed to the development of smart cities. A smart city utilizes IoT-enabled technologies, communications and applications to maximize operational efficiency and enhance both the service providers' quality of services and people's wellbeing and quality of life. With the growth of smart city networks, however, comes the increased risk of cybersecurity …
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Cyberattacks Detection in IoT-Based Smart City Applications Using Machine Learning Techniques
In recent years, the widespread deployment of the Internet of Things (IoT) applications has contributed to the development of smart cities. A smart city utilizes IoT-enabled technologies, communications and applications to maximize operational efficiency and enhance both the service providers' quality of services and people's wellbeing and quality of life. With the growth of smart city networks, however, comes the increased risk of cybersecurity …
Adapting Gaussian Yolov3 with transfer learning for overhead view human detection in smart cities and societies
Human-Behavior-Based Personalized Meal Recommendation and Menu Planning Social System
The traditional dietary recommendation systems are basically nutrition or health-aware where the human feelings on food are ignored. Human affects vary when it comes to food cravings, and not all foods are appealing in all moods. It takes a lot of effort to learn people’s food preferences and make recommendations based on their affects and nutrition. A questionnaire-based and preference-aware meal recommendation system can be a solution. However,…
Detection and Analysis of Fake News Users’ Communities in Social Media
The widespread use of social media platforms has led to an increase in the dissemination of fake news with the intention of manipulating public opinion and causing chaos and panic among the population. To address this issue, we focus on detecting the organized groups that participate together in fake news campaigns without prior knowledge of the news content or the profiles of social accounts. To this end, we propose a spatial–temporal similarity…
A novel framework for seasonal affective disorder detection
Seasonal Affective Disorder (SAD) is a mood disorder characterized by recurring depressive episodes during specific seasons, particularly in Fall and Winter. With the rise of social media as a platform for self-expression, user-generated content offers valuable insights into mental health trends, presenting an opportunity for data-driven SAD detection. However, existing research faces challenges such as limited multimodal datasets, class imbalanc…
Computer Science (5 works) · Artificial Intelligence (4 works) · Machine learning (2 works) · Psychology (2 works) · Social media (2 works) · World Wide Web (2 works) · Advanced Malware Detection Techniques (1 work) · Advanced Neural Network Applications (1 work) · Anomaly detection (1 work) · Applied Psychology (1 work)