BM
Bini M Issac
Amal Jyothi College of Engineering
Research areas: Computer Science · Computer Vision and Pattern Recognition · Advanced Steganography and Watermarking Techniques · Chaos-based Image/Signal Encryption · Digital Media Forensic Detection
About
Medical Imaging, Cryptography, Steganography, Machine Learning
Employment
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Amal Jyothi College of Engineering Assistant Professor
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (13)
- InceptHide: An Inception Attention Steganography Framework for Secure Medical Image Transmission Save
- Advances in Gait and Footprint Biometrics on Edge Computing Save
- Advances in Gait and Footprint Biometrics on Edge Computing: Comprehensive Review and Future Perspectives Save
- StegoMed: a GAN inspired medical image steganography using non-adversarial encoder decoder for teleradiology Save
- Deep learning steganography for big data security using squeeze and excitation with inception architectures Save
- Role of Bioinspired Optimization Algorithms in Medical Image Steganography for Healthcare Applications Save
- 3D Hyperchaotic Medical Image Encryption for Teleradiology Applications Save
- Collaborative Federated Learning in Healthcare Systems Save
- EchoLink : A Voice Based Email Assistance for Blind Save
- Lifting Wavelet Transform Based Data Steganography for Health Care and Military Applications Save
- Qualitative study on steganography of genomic image data for secure data transmission using deep learning models Save
- Role of bioinspired optimization algorithms in medical image steganography for healthcare applications Save
- Seeing Through Sound: Object Detection and Distance Analyzer for the Visually Impaired Using Audio Feedback Save