Zobrazeno 1 - 10
of 1 947
pro vyhledávání: '"HASHEMI, MOHAMMAD"'
Autor:
Chauhan, Mihir, Satbhai, Abhishek, Hashemi, Mohammad Abuzar, Ali, Mir Basheer, Ramamurthy, Bina, Gao, Mingchen, Lyu, Siwei, Srihari, Sargur
Handwriting Verification is a critical in document forensics. Deep learning based approaches often face skepticism from forensic document examiners due to their lack of explainability and reliance on extensive training data and handcrafted features.
Externí odkaz:
http://arxiv.org/abs/2407.21788
Autor:
Chauhan, Mihir, Hashemi, Mohammad Abuzar, Satbhai, Abhishek, Ali, Mir Basheer, Ramamurthy, Bina, Gao, Mingchen, Lyu, Siwei, Srihari, Sargur
We present SSL-HV: Self-Supervised Learning approaches applied to the task of Handwriting Verification. This task involves determining whether a given pair of handwritten images originate from the same or different writer distribution. We have compar
Externí odkaz:
http://arxiv.org/abs/2405.18320
Autor:
Sarkar, Adrisha, Jones, Zachary, Parashar, Madhur, Druga, Emanuel, Akkiraju, Amala, Conti, Sophie, Krishnamoorthi, Pranav, Nachuri, Srisai, Aman, Parker, Hashemi, Mohammad, Nunn, Nicholas, Torelli, Marco, Gilbert, Benjamin, Wilson, Kevin R., Shenderova, Olga, Tanjore, Deepti, Ajoy, Ashok
We report on a novel flow-based method for high-precision chemical detection that integrates quantum sensing with droplet microfluidics. We deploy nanodiamond particles hosting fluorescent nitrogen vacancy defects as quantum sensors in flowing, monod
Externí odkaz:
http://arxiv.org/abs/2404.19313
We devised a general heterogeneous microstructural design methodology applied to a specific material system, elasto-electro-active piezoelectric ceramic embedded plastics, which has great potential in sensing, 5G communication, and energy harvesting.
Externí odkaz:
http://arxiv.org/abs/2402.11102
Many real-world datasets can be naturally represented as graphs, spanning a wide range of domains. However, the increasing complexity and size of graph datasets present significant challenges for analysis and computation. In response, graph reduction
Externí odkaz:
http://arxiv.org/abs/2402.03358
Bone degradation, especially for astronauts in microgravity conditions, is crucial for space exploration missions since the lower applied external forces accelerate the diminution in bone stiffness and strength substantially. Although existing comput
Externí odkaz:
http://arxiv.org/abs/2312.03133
Enriched finite element approach for modeling discontinuous electric field in multimaterial problems
Autor:
Narváez-Muñoz, Christian, Hashemi, Mohammad R., Ryzhakov, Pavel B., Pons-Prats, Jordi, Owen, Herbert
This work is devoted to the development of an efficient and robust technique for accurate capturing of the electric field in multi-material problems. The formulation is based on the finite element method enriched by the introduction of hat-type shape
Externí odkaz:
http://arxiv.org/abs/2212.08545
Autor:
Hashemi, Mohammad1 mh7poetica@gmail.com, Maziar, Amir2 maziar1356@gmail.com, Nazer, Erfan3 erfan.nazer@hotmail.com
Publikováno v:
Journal of Philosophical Meditations. Sep2024, Vol. 14 Issue 32, p287-317. 31p.
The complexity of modern integrated circuits (ICs) necessitates collaboration between multiple distrusting parties, including thirdparty intellectual property (3PIP) vendors, design houses, CAD/EDA tool vendors, and foundries, which jeopardizes confi
Externí odkaz:
http://arxiv.org/abs/2208.03822
Recent work has highlighted the risks of intellectual property (IP) piracy of deep learning (DL) models from the side-channel leakage of DL hardware accelerators. In response, to provide side-channel leakage resiliency to DL hardware accelerators, se
Externí odkaz:
http://arxiv.org/abs/2208.03806