[HTML][HTML] Unmanned aerial vehicles: A review
Abstract The lightweight Unmanned Aerial Vehicle (UAV) flight activities are constrained,
particularly in the UAV range or activity span and perseverance, by the strategic …
particularly in the UAV range or activity span and perseverance, by the strategic …
Survey of BERT-base models for scientific text classification: COVID-19 case study
On 30 January 2020, the World Health Organization announced a new coronavirus, which
later turned out to be very dangerous. Since that date, COVID-19 has spread to become a …
later turned out to be very dangerous. Since that date, COVID-19 has spread to become a …
Pigeon inspired optimization with encryption based secure medical image management system
Presently, technological advancements in the healthcare sector pose a challenging problem
relevant to the security and privacy of health‐related applications. Medical images can be …
relevant to the security and privacy of health‐related applications. Medical images can be …
A new cross ring neural network: Dynamic investigations and application to WBAN
D Jiang, ZT Njitacke, JDD Nkapkop… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
Wireless body area network (WBAN) is a crucial tool in modern medical areas. This refers to
the intelligent interconnection of wireless sensor nodes installed outside or inside the …
the intelligent interconnection of wireless sensor nodes installed outside or inside the …
A novel compression-based 2D-chaotic sine map for enhancing privacy and security of biometric identification systems
Human biometric images are utilized for cell phone authentication, airport security, and
biometric passports. To improve the biometric identification process, this should be protected …
biometric passports. To improve the biometric identification process, this should be protected …
Federated convolutional model with cyber blockchain in medical image encryption using Multiple Rossler lightweight Logistic sine mapping
S Qamar - Computers and Electrical Engineering, 2023 - Elsevier
Doctors' ability to diagnose and treat patients will be facilitated by the Internet of Medical
Things (IoMT), which can connect a variety of medical imaging devices to medical data …
Things (IoMT), which can connect a variety of medical imaging devices to medical data …
Multi-medical image protection: compression–encryption scheme based on tlnn and mask cubes
L Tan, Y Cao, S Banerjee, J Mou - The Journal of Supercomputing, 2025 - Springer
With the massive use of online medical image data, the protection of the private information
of patients has become an important issue to be addressed. A tabu learning neuron network …
of patients has become an important issue to be addressed. A tabu learning neuron network …
An ensemble learning method for emotion charting using multimodal physiological signals
Emotion charting using multimodal signals has gained great demand for stroke-affected
patients, for psychiatrists while examining patients, and for neuromarketing applications …
patients, for psychiatrists while examining patients, and for neuromarketing applications …
A novel color image encryption method based on new three-dimensional chaotic mapping and DNA coding
X Yan, Q Hu, L Teng - Nonlinear Dynamics, 2025 - Springer
In recent years, the field of information science has seen a surge in research focused on
digital image security. Chaotic systems have emerged as essential tools in the development …
digital image security. Chaotic systems have emerged as essential tools in the development …
SecMISS: secured medical image secret sharing mechanism for smart health applications
A Mohammed, P Samundiswary - The Visual Computer, 2024 - Springer
Sustainable smart city initiatives significantly improve the living standards of citizens and
bring significant changes in economic, environmental, and social well-being. Sustainable …
bring significant changes in economic, environmental, and social well-being. Sustainable …