1 citations · 1 across the 1 of their papers we have counts for
5 papers
D2H-AD: A Hybrid Model Utilizing Hyperdimensional Computing for Advanced Anomaly Detection
Ghazal Ghajari, Elaheh Ghajari, Ashutosh Ghimire +3
Anomaly detection is a fundamental component of intelligent systems with applications in healthcare, cybersecurity, smart grids, and IoT environments. Although conventional machine…
Artificial Intelligence in Experimental Approaches: Growth Hacking, Lean Startup, Design Thinking, and Agile
Parisa Omidmand, Saeid Ataei
Organizations increasingly adopt AI technologies to accelerate their performance and capacity to adapt to market dynamics. This study examines how organizations implement AI in exp…
Artificial Intelligence Applications in Lean Startup Methodology: A Bibliometric Analysis of Research Trends and Future Directions
Parisa Omidmand, Rasam Dorri, Alireza Mozaffari +1
This study presents a comprehensive bibliometric analysis of the emerging intersection between artificial intelligence (AI) and lean startup methodology. Using the PRISMA 2020 fram…
Vision-based autonomous structural damage detection using data-driven methods
Seyyed Taghi Ataei, Parviz Mohammad Zadeh, Saeid Ataei
This study addresses the urgent need for efficient and accurate damage detection in wind turbine structures, a crucial component of renewable energy infrastructure. Traditional ins…
Data-driven Detection and Evaluation of Damages in Concrete Structures: Using Deep Learning and Computer Vision
Saeid Ataei, Saeed Adibnazari, Seyyed Taghi Ataei
Structural integrity is vital for maintaining the safety and longevity of concrete infrastructures such as bridges, tunnels, and walls. Traditional methods for detecting damages li…