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pro vyhledávání: '"Ansari MD"'
In recent years, the challenge of 3D shape analysis within point cloud data has gathered significant attention in computer vision. Addressing the complexities of effective 3D information representation and meaningful feature extraction for classifica
Externí odkaz:
http://arxiv.org/abs/2412.03052
Autor:
Roy, Arnab Kumar, Kathania, Hemant Kumar, Sharma, Adhitiya, Dey, Abhishek, Ansari, Md. Sarfaraj Alam
The human face is a silent communicator, expressing emotions and thoughts through its facial expressions. With the advancements in computer vision in recent years, facial emotion recognition technology has made significant strides, enabling machines
Externí odkaz:
http://arxiv.org/abs/2409.10545
Publikováno v:
E3S Web of Conferences, Vol 430, p 01089 (2023)
Natural language processing (NLP) is a sustainable subfield of Artificial Intelligence that focuses on the interaction between computers and humans through natural language. NLP algorithms enable computers to comprehensively understand, interpret, an
Externí odkaz:
https://doaj.org/article/80d7d4b9ada040bc98cd6d2456799605
Publikováno v:
Science and Engineering of Composite Materials, Vol 26, Iss 1, Pp 435-448 (2019)
The flexural analysis of doubly curved functionally graded porous conoids was performed in the present paper. The porosities inside functionally graded materials (FGMs) can occur during the fabrication and lead to the occurrence of micro-voids in the
Externí odkaz:
https://doaj.org/article/b187d9f337284f31acc6327310c32ec2
Autor:
Ansari, Md Zahid, Damle, Kedar
We study the effect of a small density $n_v$ of quenched non-magnetic impurities, i.e. vacancy disorder, in gapped short-range resonating valence bond (RVB) spin liquid states and valence bond solid (VBS) states of quantum magnets. We argue that a la
Externí odkaz:
http://arxiv.org/abs/2401.07026
Autor:
Khan, Mohammed Sarosh1 mo.khan@psau.edu.sa, Ansari, Md Rizwan1, Nadeem Bari, Md.1, Mohammad, Imran1, Anwar, Mohammad2
Publikováno v:
Journal of Pioneering Medical Sciences. Oct2024, Vol. 13 Issue 6, p153-158. 6p.
Autor:
Ansari, Md. Istiaq, Hasan, Taufiq
Pattern recognition from audio signals is an active research topic encompassing audio tagging, acoustic scene classification, music classification, and other areas. Spectrogram and mel-frequency cepstral coefficients (MFCC) are among the most commonl
Externí odkaz:
http://arxiv.org/abs/2211.09352
Autor:
Ansari, Md Nasim1 nasimansari70313@gmail.com, Jamaluddeen2 qjamaluddeen@gmail.com
Publikováno v:
Journal of Commerce & Accounting Research. Oct2024, Vol. 13 Issue 4, p71-79. 9p.
Publikováno v:
In Carbohydrate Polymer Technologies and Applications December 2024 8
Publikováno v:
In Hematology, Transfusion and Cell Therapy November 2024 46 Supplement 5:S13-S23