This paper presents a comprehensive survey of research works on the topic of form
understanding in the context of scanned documents. We delve into recent advancements …

In the current business environment, where the customer is the primary focus, effective
communication between marketing and senior management is vital for success. Effective …

Given the prevalence of handwritten documents in human interactions, optical character
recognition (OCR) for documents holds immense practical value. OCR is a field that …

Abstract Software-Defined Network (SDN) is an established networking paradigm that
separates the control plane from the data plane. It has central network control, and …

According to statistics, there are 422 million speakers of the Arabic language. Islam is the
second-largest religion in the world, and its followers constitute approximately 25% of the …

The preservation and digitization of historical data are crucial for ensuring the continuity and
accessibility of information over successive generations. The present study investigates the …

We present TNCR, a new table dataset with varying image quality collected from open
access websites. TNCR dataset can be used for table detection in scanned document …

This article considers the task of handwritten text recognition using attention-based encoder–
decoder networks trained in the Kazakh and Russian languages. We have developed a …

The acceleration in the field of the Internet of things had increased security problems, so we
find ourselves in need of effective ways to protect IoT systems From intrusions. Recently …

Abstract Machine learning (ML) models have gained significant attention in a variety of
applications, from computer vision to natural language processing, and are almost always …