Zobrazeno 1 - 10
of 5 565
pro vyhledávání: '"HOSSAIN, S."'
Autor:
Hossain, S. M., Rahaman, S. S., Gujrati, H., Bhoi, Dilip, Matsuo, A., Kindo, K., Kumar, M., Majumder, M.
Publikováno v:
Physical Review B (Letter) (2024)
Disorder is ubiquitous in any quantum many-body system and is usually considered to be an obstacle to the elucidation of the underlying physics of complex systems, but its presence can often introduce exotic phases of matter that cannot generally be
Externí odkaz:
http://arxiv.org/abs/2406.19797
Publikováno v:
International Journal of Computer Applications, Vol. 185, No. 37, pp. 9-15, October 2023
Smart healthcare, an integral element of connected living, plays a pivotal role in fulfilling a fundamental human need. The burgeoning field of smart healthcare is poised to generate substantial revenue in the foreseeable future. Its multifaceted fra
Externí odkaz:
http://arxiv.org/abs/2311.12869
Connected and autonomous vehicles, also known as CAVs, are a general trend in the evolution of the automotive industry that can be utilized to make transportation safer, improve the number of mobility options available, user costs will go down and ne
Externí odkaz:
http://arxiv.org/abs/2310.09510
Publikováno v:
2023 IEEE World AI IOT Congress (AIIOT)
Smart grid data can be evaluated for anomaly detection in numerous fields, including cyber-security, fault detection, electricity theft, etc. The strange anomalous behaviors may have been caused by various reasons, including peculiar consumption patt
Externí odkaz:
http://arxiv.org/abs/2306.02473
Publikováno v:
2023 IEEE World AI IoT Congress (AIIoT) Conference
The smart-grid introduces several new data-gathering, communication, and information-sharing capabilities into the electrical system, as well as additional privacy threats, vulnerabilities, and cyber-attacks. In this study, Modbus is regarded as one
Externí odkaz:
http://arxiv.org/abs/2306.00234
Publikováno v:
IEEE AIIoT 2023 conference
Digital Twins (DTs) are virtual representations of physical objects or processes that can collect information from the real environment to represent, validate, and replicate the physical twin's present and future behavior. The DTs are becoming increa
Externí odkaz:
http://arxiv.org/abs/2305.16158
To achieve the goal of providing the best possible care to each patient, physicians need to customize treatments for patients with the same diagnosis, especially when treating diseases that can progress further and require additional treatments, such
Externí odkaz:
http://arxiv.org/abs/2210.13330
We propose a method for computing binary orthogonal non-negative matrix factorization (BONMF) for clustering and classification. The method is tested on several representative real-world data sets. The numerical results confirm that the method has im
Externí odkaz:
http://arxiv.org/abs/2210.10660
Autor:
Hossain, Md. Iqbal, Zunaed, Mohammad, Ahmed, Md. Kawsar, Hossain, S. M. Jawwad, Hasan, Anwarul, Hasan, Taufiq
Objective: Computer-aided disease diagnosis and prognosis based on medical images is a rapidly emerging field. Many Convolutional Neural Network (CNN) architectures have been developed by researchers for disease classification and localization from c
Externí odkaz:
http://arxiv.org/abs/2210.02998
Publikováno v:
In Public Health November 2024 236:268-273
