Zobrazeno 1 - 10
of 3 111
pro vyhledávání: '"JOSHI, AMIT"'
Network intrusion detection is critical for securing modern networks, yet the complexity of network traffic poses significant challenges to traditional methods. This study proposes a Temporal Convolutional Network(TCN) model featuring a residual bloc
Externí odkaz:
http://arxiv.org/abs/2412.17452
Publikováno v:
Business Excellence and Management, Vol 11, Iss 2, Pp 87-94 (2021)
Massive Open Online Courses (MOOCs) has the potential to eradicate the digital divide and endorse education globally among the learners in the education industry. Through MOOCs platforms, teachers can upgrade their knowledge skills and abilities in t
Externí odkaz:
https://doaj.org/article/0d2b939c807043ad9c0a76947a8aa5d2
The rapid advancement in Large Language Models has been met with significant challenges in their training processes, primarily due to their considerable computational and memory demands. This research examines parallelization techniques developed to
Externí odkaz:
http://arxiv.org/abs/2405.15628
Autor:
Bakliwal, Aagam, Joshi, Amit D.
In the dynamic realm of deepfake detection, this work presents an innovative approach to validate video content. The methodology blends advanced 2-dimensional and 3-dimensional Convolutional Neural Networks. The 3D model is uniquely tailored to captu
Externí odkaz:
http://arxiv.org/abs/2310.16388