Blockchain with cloud for handling healthcare data: A privacy-friendly platform

S Singh, B Pankaj, K Nagarajan, NP Singh… - Materials Today …, 2022 - Elsevier
In addition to its unique characteristics, health care data make it an attractive target for
criminals. Additionally, healthcare data is highly regulated by US & EU privacy and security …

[PDF][PDF] Prognostic Kalman Filter Based Bayesian Learning Model for Data Accuracy Prediction.

S Karthik, R Singh Bhadoria, JG Lee… - … Materials & Continua, 2022 - cdn.techscience.cn
Data is always a crucial issue of concern especially during its prediction and computation in
digital revolution. This paper exactly helps in providing efficient learning mechanism for …

Efficient dynamic phishing safeguard system using neural boost phishing protection

AQ Md, D Jaiswal, J Daftari, S Haneef, C Iwendi… - Electronics, 2022 - mdpi.com
The instances of privacy and security have reached the point where they cannot be ignored.
There has been a rise in data breaches and fraud, particularly in banks, healthcare, and …

Face biometric authentication system for atm using deep learning

S Ramya, R Sheeba, P Aravind… - … and Control Systems …, 2022 - ieeexplore.ieee.org
Automated Teller Machines (ATMs) are frequently used in recent years. The ATM has
become insecure as the number of crooks and their actions has increased dramatically. This …

[PDF][PDF] Multi-attribute Group Decision-making Based on Hesitant Bipolar-valued Fuzzy Information and Social Network.

R Dhanalakshmi, S Samanta, AK Sivaraman… - Comput. Syst. Sci …, 2023 - researchgate.net
Fuzzy sets have undergone several expansions and generalisations in the literature,
including Atanasov's intuitionistic fuzzy sets, type 2 fuzzy sets, and fuzzy multisets, to name a …

Automatic detection of maintenance scenarios for equipment and control systems in industry

N Koteleva, V Valnev - Applied Sciences, 2023 - mdpi.com
The well-known methods of scene extraction on video are focused on analyzing the
similarity between frames. However, they do not all analyze the composition of the image …

[PDF][PDF] Abnormal Crowd Behavior Detection Using Optimized Pyramidal Lucas-Kanade Technique

G Rajasekaran, J Raja Sekar - Intelligent Automation & Soft …, 2023 - cdn.techscience.cn
Abnormal behavior detection is challenging and one of the growing research areas in
computer vision. The main aim of this research work is to focus on panic and escape …

[PDF][PDF] Securing 3D Point and Mesh Fog Data Using Novel Chaotic Cat Map.

K Priyadarsini, AK Sivaraman, AQ Md… - Computers, Materials & …, 2023 - researchgate.net
With the rapid evolution of Internet technology, fog computing has taken a major role in
managing large amounts of data. The major concerns in this domain are security and …

[PDF][PDF] Effective Classification of Synovial Sarcoma Cancer Using Structure Features and Support Vectors.

P Arunachalam, N Janakiraman, J Rashid… - … , Materials & Continua, 2022 - researchgate.net
In this research work, we proposed a medical image analysis framework with two separate
releases whether or not Synovial Sarcoma (SS) is the cell structure for cancer. Within this …

A Reactive Deep Learning-Based Model for Quality Assessment in Airport Video Surveillance Systems

W Liu, Y Pan, Y Fan - Electronics, 2024 - mdpi.com
Monitoring the correct operation of airport video surveillance systems is of great importance
in terms of the image quality provided by the cameras. Performing this task using human …