Two decades of bengali handwritten digit recognition: A survey

ABMA Rahman, MB Hasan, S Ahmed, T Ahmed… - IEEE …, 2022 - ieeexplore.ieee.org
Handwritten Digit Recognition (HDR) is one of the most challenging tasks in the domain of
Optical Character Recognition (OCR). Irrespective of language, there are some inherent …

Bangla handwritten digit recognition using deep cnn for large and unbiased dataset

A Shawon, MJU Rahman, F Mahmud… - … conference on Bangla …, 2018 - ieeexplore.ieee.org
Bangla handwritten digit recognition is a convenient starting point for building an OCR in the
Bengali language. Lack of large and unbiased dataset, Bangla digit recognition was not …

Optimizing Malware Detection for IoT and Edge Environments with Quantization Awareness

G Alandjani - IEEE Access, 2024 - ieeexplore.ieee.org
Despite the widespread applicability of malware detection on the Internet of Things (IoT) and
edge platforms, efficient malware detection on edge devices is significantly challenging due …

Securing Edge Devices: Malware Classification with Dual-Attention Deep Network

G Alandjani - Applied Sciences, 2024 - mdpi.com
Featured Application The proposed method reveals the widespread real-world applicability
of malware detection, particularly in securing IoT devices. Its faster inference speed and high …

[PDF][PDF] DEEP HOG: A HYBRID MODEL TO CLASSIFY BANGLA ISOLATED ALPHA-NUMERICAL SYMBOLS.

SMA Sharif, M Mahboob - Neural Network World, 2019 - nnw.cz
Bangla is known to be the second most widely used script in the South Asian region. Despite
its wide usage, a complete study with all available Bangla handwritten image classes is still …

Edgenet: A novel approach for arabic numeral classification

SMA Sharif, G Mujtaba, SM Uddin - arxiv preprint arxiv:1908.02254, 2019 - arxiv.org
Despite the importance of handwritten numeral classification, a robust and effective method
for a widely used language like Arabic is still due. This study focuses to overcome two major …