Zobrazeno 1 - 10
of 236
pro vyhledávání: '"Hasnat, Md. A."'
Autor:
Imanpour, Nasrin, Bajpai, Shashwat, Ghosh, Subhankar, Sankepally, Sainath Reddy, Borah, Abhilekh, Abdullah, Hasnat Md, Kosaraju, Nishoak, Dixit, Shreyas, Aziz, Ashhar, Biswas, Shwetangshu, Jain, Vinija, Chadha, Aman, Sheth, Amit, Das, Amitava
The proliferation of AI techniques for image generation, coupled with their increasing accessibility, has raised significant concerns about the potential misuse of these images to spread misinformation. Recent AI-generated image detection (AGID) meth
Externí odkaz:
http://arxiv.org/abs/2411.16754
Localizing unusual activities, such as human errors or surveillance incidents, in videos holds practical significance. However, current video understanding models struggle with localizing these unusual events likely because of their insufficient repr
Externí odkaz:
http://arxiv.org/abs/2410.01180
Publikováno v:
2023 26th International Conference on Computer and Information Technology (ICCIT), Cox's Bazar, Bangladesh, 2023, pp. 1-6
Chest X-rays are widely used to diagnose thoracic diseases, but the lack of detailed information about these abnormalities makes it challenging to develop accurate automated diagnosis systems, which is crucial for early detection and effective treatm
Externí odkaz:
http://arxiv.org/abs/2311.07750
Autor:
Hasnat, Md Abul, Naeini, Mia
This article explores the effects of a single bus perturbation in the electrical grid using a Graph Signal Processing (GSP) perspective. The perturbation is characterized by a sudden change in real-power load demand or generation. The study focuses o
Externí odkaz:
http://arxiv.org/abs/2306.03254
Autor:
Mamun, Md. Adyelullahil, Abdullah, Hasnat Md., Alam, Md. Golam Rabiul, Hassan, Muhammad Mehedi, Uddin, Md. Zia
Human conversational styles are measured by the sense of humor, personality, and tone of voice. These characteristics have become essential for conversational intelligent virtual assistants. However, most of the state-of-the-art intelligent virtual a
Externí odkaz:
http://arxiv.org/abs/2304.11046
This paper presents a Temporal Graph Neural Network (TGNN) framework for detection and localization of false data injection and ramp attacks on the system state in smart grids. Capturing the topological information of the system through the GNN frame
Externí odkaz:
http://arxiv.org/abs/2212.03390
Publikováno v:
In Electric Power Systems Research December 2024 237
Publikováno v:
In Electric Power Systems Research January 2025 238
Autor:
Nishat, Maliha, Rahman, Md. Atikur, Islam, Most. Farzana, Hasnat, Md. Abul, Ahmed, Farid, Hasan, Md. Zahid
Publikováno v:
In Materials Science & Engineering B January 2024 299
Smart grids are large and complex cyber physical infrastructures that require real-time monitoring for ensuring the security and reliability of the system. Monitoring the smart grid involves analyzing continuous data-stream from various measurement d
Externí odkaz:
http://arxiv.org/abs/2006.06095