Sajal K Da
Biographic Data
| ID | 4866039 |
|---|---|
| NAME | Sajal K Da |
| GIVEN NAMES | Sajal K |
| FAMILY NAME | Da |
| SIGNATURE | DA S K |
| AFFILIATIONS | Missouri University of Science and Technology |
| ORCID | 0000-0002-9471-0868 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2004 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Does the Intention–Usage Gap Exist in Mobile Trading Apps? A Moderated Moderation Analysis
The financial market has changed rapidly due to the growth of the digital economy, supported by affordable internet access and the widespread use of mobile applications. Mobile trading apps have made stock market participation easier, enabling investors in tier-three cities to trade from almost anywhere. Despite more than a decade since the introduction of mobile trading in India and empirical evidence indicating strong positive intentions among …
Fuzzy-Based Deep Reinforcement Learning for Suicidal Ideation Detection in Online Social Networks
Suicidal ideation is a major psychological problem, and preventing this social risk is recognized as an important research topic. In reality, there can be several reasons why a person experiences suicidal ideation. Each individual can express views, emotions, and several types of symptoms related to suicidal ideation on the most popular social media platforms. In online social networks (OSNs), identification of suicidal ideation is one of the maj…
FedVCP: A Federated-Learning-Based Cooperative Positioning Scheme for Social Internet of Vehicles
Intelligent vehicle applications, such as autonomous driving and collision avoidance, put forward a higher demand for precise positioning of vehicles. The current widely used global navigation satellite systems (GNSS) cannot meet the precision requirements of the submeter level. Due to the development of sensing techniques and vehicle-to-infrastructure (V2I) communications, some vehicles can interact with surrounding landmarks to achieve precise …
Smart Environments: Technology, Protocols and Applications
Contributors.Foreword by (Howard E. Overview (D. Cook & S. Das).PART 2: TECHNOLOGIES FOR SMART ENVIRONMENTS.2. Wireless Sensor Networks (F. Lewis).3. Power Line Communication Technologies (H. Latchman & A. Mundi).4. Wireless Communications and Pervasive Technology (M. Conti).5. Middleware (G. Youngblood).6. Home Networking and Appliances (D. Marples & S. Moyer).PART 3: ALGORITHMS AND PROTOCOLS FOR SMART ENVIRONMENTS.7. Designing for the Human Exp…
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Smart Environments: Technology, Protocols and Applications
Contributors.Foreword by (Howard E. Overview (D. Cook & S. Das).PART 2: TECHNOLOGIES FOR SMART ENVIRONMENTS.2. Wireless Sensor Networks (F. Lewis).3. Power Line Communication Technologies (H. Latchman & A. Mundi).4. Wireless Communications and Pervasive Technology (M. Conti).5. Middleware (G. Youngblood).6. Home Networking and Appliances (D. Marples & S. Moyer).PART 3: ALGORITHMS AND PROTOCOLS FOR SMART ENVIRONMENTS.7. Designing for the Human Exp…
FedVCP: A Federated-Learning-Based Cooperative Positioning Scheme for Social Internet of Vehicles
Intelligent vehicle applications, such as autonomous driving and collision avoidance, put forward a higher demand for precise positioning of vehicles. The current widely used global navigation satellite systems (GNSS) cannot meet the precision requirements of the submeter level. Due to the development of sensing techniques and vehicle-to-infrastructure (V2I) communications, some vehicles can interact with surrounding landmarks to achieve precise …
Does the Intention–Usage Gap Exist in Mobile Trading Apps? A Moderated Moderation Analysis
The financial market has changed rapidly due to the growth of the digital economy, supported by affordable internet access and the widespread use of mobile applications. Mobile trading apps have made stock market participation easier, enabling investors in tier-three cities to trade from almost anywhere. Despite more than a decade since the introduction of mobile trading in India and empirical evidence indicating strong positive intentions among …
Fuzzy-Based Deep Reinforcement Learning for Suicidal Ideation Detection in Online Social Networks
Suicidal ideation is a major psychological problem, and preventing this social risk is recognized as an important research topic. In reality, there can be several reasons why a person experiences suicidal ideation. Each individual can express views, emotions, and several types of symptoms related to suicidal ideation on the most popular social media platforms. In online social networks (OSNs), identification of suicidal ideation is one of the maj…
Ambient Intelligence (1 works) · Artificial intelligence (1 works) · Behavioral Health and Interventions (1 works) · Categorical variable (1 works) · Computer network (1 works) · Computer Science (1 works) · Computer security (1 works) · Computer Technology (1 works) · Data exchange (1 works) · Digital Marketing and Social Media (1 works)