Quantum-resistant cryptography for the internet of things based on location-based lattices
OS Althobaiti, M Dohler - IEEE Access, 2021 - ieeexplore.ieee.org
An important enabler of the Internet of Things (IoT) is the Narrow-Band Internet of Things
(NB-IoT) technology, which is a 3GPP standards compliant connectivity solution. Quantum …
(NB-IoT) technology, which is a 3GPP standards compliant connectivity solution. Quantum …
[HTML][HTML] Multimodal student attendance management system (MSAMS)
Effective student attendance management in higher educational institutions represents a big
challenge for faculty members that need fast and accurate approaches. The traditional …
challenge for faculty members that need fast and accurate approaches. The traditional …
An Intelligent System for Video-Based Proximity Analysis
S Antonov, M Bogachev, P Leyba, A Sinitca… - … Learning Applications in …, 2023 - Springer
Since the emergence of COVID-19 pandemic in early 2020, digital technologies played a
significant role in the public-health response to COVID-19 worldwide. Rapid deployment of …
significant role in the public-health response to COVID-19 worldwide. Rapid deployment of …
[HTML][HTML] Intelligent bio-latticed cryptography: A quantum-proof efficient proposal
OS Althobaiti, T Mahmoodi, M Dohler - Symmetry, 2022 - mdpi.com
The emergence of the Internet of Things (IoT) and the tactile internet presents high-quality
connectivity strengthened by next-generation networking to cover a vast array of smart …
connectivity strengthened by next-generation networking to cover a vast array of smart …
Hybrid approach to face recognition system using PCA & LDA in border control
SS Thenuwara, C Premachandra… - 2019 National …, 2019 - ieeexplore.ieee.org
In this paper, we have proposed a hybrid approach to face recognition using PCA and LDA
in border control like time-critical application. Duplicate passports, unauthorized VISA, fake …
in border control like time-critical application. Duplicate passports, unauthorized VISA, fake …
Analysis of face recognition with fuzzy C-means clustering image segmentation and learning vector quantization
MK Gibran, EB Nababan… - 2020 3rd international …, 2020 - ieeexplore.ieee.org
Digital image processing is used to analyze images consisting of visual perceptions whose
purpose is to manipulate, modify the image, improve the quality of the image and prioritize …
purpose is to manipulate, modify the image, improve the quality of the image and prioritize …
Effective descriptors based face recognition technique for robotic surveillance systems
A Vinay, AR Deshpande, BS Pranathi, H Jha… - Procedia computer …, 2018 - Elsevier
The aim is to propose SPHORB Face Recognition technique for Robotic Surveillance
systems. Surveillance bots with efficient face recognition system becomes even more …
systems. Surveillance bots with efficient face recognition system becomes even more …
[引用][C] A review of person recognition based on face model
SF Kak, FM Mustafa, P Valente - Eurasian Journal of Science & Engineering, 2018
[HTML][HTML] Development of a Computer Vision-Based Muscle Stimulation Method for Measuring Muscle Fatigue during Prolonged Low-Load Exposure
B Jia, AN Kumbhar, Y Tong - International Journal of Environmental …, 2021 - mdpi.com
Measuring muscle fatigue is one essential and standard method to quantify the ergonomic
risks associated with prolonged low-load exposure. However, measuring muscle fatigue …
risks associated with prolonged low-load exposure. However, measuring muscle fatigue …
Performance Comparison of Feature Extraction and Machine Learning Classification Algorithms for Face Recognition
RB Hadiprakoso, IKS Buana - … of Informatics and …, 2021 - ejurnal.stmik-budidarma.ac.id
Face recognition is a highly active research topic in pattern recognition and computer vision,
with numerous practical applications. Face recognition can provide the most natural …
with numerous practical applications. Face recognition can provide the most natural …