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Offline Pashto Characters Dataset for OCR Systems
(
Hindawi
, 2021 , Article)
In computer vision and artificial intelligence, text recognition and analysis based on images play a key role in the text retrieving process. Enabling a machine learning technique to recognize handwritten characters of a ...
Attributes-Based Decision Making for Selection of Requirement Elicitation Techniques Using the Analytic Network Process
(
Hindawi
, 2020 , Article)
Requirement engineering is the first phase of software engineering. In requirement engineering, the first phase is requirement elicitation (RE), which is the most critical and error-prone activity. In this phase, the ...
Metaverse Security: Issues, Challenges and a Viable ZTA Model
(
Multidisciplinary Digital Publishing Institute (MDPI)
, 2023 , Article)
The metaverse is touted as an exciting new technology amalgamation facilitating next-level immersive experiences for users. However, initial experiences indicate that a host of privacy, security and control issues will ...
A Novel Deep Learning and Ensemble Learning Mechanism for Delta-Type COVID-19 Detection
(
Frontiers
, 2022 , Article)
Recently, the novel coronavirus disease 2019 (COVID-19) has posed many challenges to the research community by presenting grievous severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that results in a huge number ...
Recognition of different types of leukocytes using YOLoV2 and optimized bag-of-features
(
IEEE
, 2020 , Article)
White blood cells (WBCs) protect human body against different types of infections including fungal, parasitic, viral, and bacterial. The detection of abnormal regions in WBCs is a difficult task. Therefore a method is ...
Automated Detection of Brain Tumor through Magnetic Resonance Images Using Convolutional Neural Network
(
Hindawi
, 2021 , Article)
Brain tumor is a fatal disease, caused by the growth of abnormal cells in the brain tissues. Therefore, early and accurate detection of this disease can save patient's life. This paper proposes a novel framework for the ...
An Optimized Feature Selection Technique in Diversified Natural Scene Text for Classification Using Genetic Algorithm
(
IEEE
, 2021 , Article)
Natural scene text classification is considered to be a challenging task because of diversified set of image contents, presence of degradations including noise, low contrast/resolution and the random appearance of foreground ...
Empirical Investigation of Influencing Factors Regarding Offshore Outsourcing Decision of Application Maintenance
(
IEEE
, 2021 , Article)
Global Software Development (GSD) has been an emerging trend in the development of software globally, for the last two decades. Information Technology (IT) outsourcing includes application development, application maintenance, ...
Design and Analysis of Lightweight Authentication Protocol for Securing IoD
(
IEEE
, 2021 , Article)
The Internet-of-drones (IoD) environment is a layered network control architecture designed to maintain, coordinate, access, and control drones (or Unmanned Aerial vehicles UAVs) and facilitate drones' navigation services. ...
Betalogger: Smartphone Sensor-based Side-channel Attack Detection and Text Inference Using Language Modeling and Dense MultiLayer Neural Network
(
Association for Computing Machinery (ACM)
, 2021 , Article)
With the recent advancement of smartphone technology in the past few years, smartphone usage has increased on a tremendous scale due to its portability and ability to perform many daily life tasks. As a result, smartphones ...