Chaotic image encryption: state-of-the-art, ecosystem, and future roadmap

B Zolfaghari, T Koshiba - Applied System Innovation, 2022 - mdpi.com
Recently, many researchers have been interested in the application of chaos in
cryptography. Specifically, numerous research works have been focusing on chaotic image …

The dichotomy of neural networks and cryptography: war and peace

B Zolfaghari, T Koshiba - Applied System Innovation, 2022 - mdpi.com
In recent years, neural networks and cryptographic schemes have come together in war and
peace; a cross-impact that forms a dichotomy deserving a comprehensive review study …

A Novel Prognostic Model Using Chaotic CNN with Hybridized Spoofing for Enhancing Diagnostic Accuracy in Epileptic Seizure Prediction

P Palanisamy, S Urooj, R Arunachalam… - Diagnostics, 2023 - mdpi.com
Epileptic seizure detection has undergone progressive advancements since its conception
in the 1970s. From proof-of-concept experiments in the latter part of that decade, it has now …

Contextual cluster-based glow-worm swarm optimization (GSO) coupled wireless sensor networks for smart cities

PS Ramesh, P Srivani, M Mahdal, L Sivaranjani… - Sensors, 2023 - mdpi.com
The cluster technique involves the creation of clusters and the selection of a cluster head
(CH), which connects sensor nodes, known as cluster members (CM), to the CH. The CH …

Predictive EQCi-Optimized Load Scheduling for Heterogeneous IoT-Data in Fog Computing Environments

S Madasamy, R Vikkram, AB Reddy… - … on Image Information …, 2023 - ieeexplore.ieee.org
This paper presents a pioneering predictive EQCi-optimized load scheduling technique
tailored to the complexities of heterogeneous IoT data within fog computing environments …

Validating wound severity assessment via region-anchored convolutional neural network model for mobile image-based size and tissue classification

Y Jaganathan, S Sanober, SMA Aldossary, H Aldosari - Diagnostics, 2023 - mdpi.com
Evaluating and tracking the size of a wound is a crucial step in wound assessment. The
measurement of various indicators on wounds over time plays a vital role in treating and …

Survey on medical image encryption: From classical to deep learning-based approaches

S Prasad, AK Singh - Computers and Electrical Engineering, 2025 - Elsevier
Nowadays, the significant importance of digital data, particularly in the form of images, in the
healthcare domain is receiving more and more attention. Doctors and professionals are …

Navigating Flood Prediction Complexities: Harnessing Fuzzy Expert Systems and Real-Time Sensor Integration

S Madasamy, KVS Praveena… - … on Image Information …, 2023 - ieeexplore.ieee.org
Fuzzy Expert Systems (FESs) stand at the forefront as a pioneering amalgamation of fuzzy
logic and expert systems, constituting a robust framework primed for intricate decision …

The Dichotomy of Crypto and NN: War and Peace

B Zolfaghari, H Nemati, N Yanai, K Bibak - Crypto and AI: From …, 2023 - Springer
In recent years, NNs, as the basic components in AI models and cryptographic schemes,
have come together in war and peace; a cross-impact forms a dichotomy deserving a …

Enhancing Human-Robot Collaboration through 5G-Enabled Transformation and Image-Guided Control with TYOLOV5 Algorithms

S Madasamy, PS Ramesh, P Roy… - … on Image Information …, 2023 - ieeexplore.ieee.org
Factories that prioritize digital transformation experience heightened production rates and
gain a competitive advantage by enhancing control and operational efficiency. In this study …