Results 81 to 90 of about 1,195,018 (195)
AI Secure Watermarking Method Leveraging the Error‐Resistant Nature of Deep Learning Models
ABSTRACT The widespread use of generated media based on generative AI models, raises the risks of copyright violation and ownership conflicts. It has also introduced challenges such as deepfake misuse and unauthorised distribution of digital content. Watermarking methodologies, including embedding and tracing, have emerged as solutions for protecting ...
Arushi Chatterjee +4 more
wiley +1 more source
Image Compression Based on Mapping Image Fractals to Rational Numbers
The advent of the Internet era and advances in telecommunications has seen image compression attract a great deal of research. Enhancements to the quality and ratio of image compression have been achieved through approaches, such as neural networks and ...
Mohammed Omari, Salah Yaichi
doaj +1 more source
Images transmitted across open networks, such as the Internet, are inherently vulnerable to eavesdropping, unauthorized access, and data tampering. Sensitive image categories, including medical, military, biometric, and legal images, often require a higher level of protection than public protocols provide. Moreover, the large size, high redundancy, and
Rami Sihwail +3 more
wiley +1 more source
A Generalization of Gaussian Balancing and Gaussian Balancing‐Lucas Numbers With Applications
In this paper, we study a generalization of Gaussian balancing and Gaussian Lucas‐balancing numbers, we find their generating functions, Binet formulas, related matrix representation, and many other properties. Also, we provide some applications in cryptography.
T. Al-Asoully +2 more
wiley +1 more source
On Gersenne Sequence: A Study of One Family in the Horadam-Type Sequence
This study introduces an innovative approach to Mersenne-type numbers. This paper introduces a new class of numbers, which we call Gersenne numbers. The aim of this paper is to define the Gersenne sequence and to investigate some of their properties ...
Douglas Catulio Santos +2 more
doaj +1 more source
Federated learning (FL) is a privacy‐preserving method for short‐term load forecasting in energy networks. However, current defense mechanisms against adversarial attacks often depend on supplementary machine learning frameworks, such as anomaly detection models or Byzantine‐robust aggregators.
Habib Ullah Manzoor +5 more
wiley +1 more source
Mersenne primes, renowned for their captivating form as [Formula: see text] have intrigued mathematicians for centuries. In this paper, we embark on a captivating quest to unveil the intricate nature of Mersenne primes, seamlessly integrating methods ...
Moustafa Ibrahim
doaj +1 more source
A Hybrid Matrix–Based Encoding Scheme With Error Detection via Third‐Order Recurrences
In this paper, we propose a novel encoding–decoding algorithm based on third‐order linear recurrence sequences and their associated matrix representations. In particular, third‐order Jacobsthal and third‐order Jacobsthal–Lucas matrix sequences are combined with Padovan and Perrin matrix sequences to construct a hybrid block–based coding scheme.
Sukran Uygun, Smritijit Sen
wiley +1 more source
Effect of Displacement‐Dependent Stiffness Devices on Seismic Performance of Isolated Bridges
Seismic isolation systems have been employed in bridges to increase their lateral flexibility and thereby improve their performance by reflecting seismic energy away from the structure. In recent years, stiffness devices that could passively generate both positive and negative tangential stiffness that varies with displacement were introduced within ...
Christos D. Varsamis +3 more
wiley +1 more source
A Study on the k-Mersenne and k-Mersenne-Lucas Sequences
In this study, we examine an application of $k-$Mersenne and $k-$Mersenne-Lucas sequences. We present the Catalan transforms of these sequences and give the properties of these Catalan transforms. Catalan transforms of $k-$Mersenne and $k-$Mersenne-Lucas
Mine Uysal +3 more
doaj +1 more source

