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Audio Compression Using Transform Coding with LZW and Double Shift Coding
The need for audio compression is still a vital issue, because of its significance in reducing the data size of one of the most common digital media...
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DySHARQ: Dynamic Software-Defined Hardware-Managed Queues for Tile-Based Architectures
The recent trend towards tile-based manycore architectures has helped to tackle the memory wall by physically distributing memories and processing...
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Cover selection technique for secure transform domain image steganography
In image steganography, an appropriate cover selection offers the least detectable stego image thereby assuring the security of covert communication....
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MPC with Delayed Parties over Star-Like Networks
This paper examines multi-party computation protocols in the presence of two major constraints commonly encountered in deployed systems. Firstly, we...
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Real-time signal queue length prediction using long short-term memory neural network
Optimal traffic control and signal planning can significantly reduce traffic congestion and potential delays at intersections. However, a major...
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Dataset Building for Handwritten Kannada Vowels Using Unsupervised and Supervised Learning Methods
In the era of automation, recognition of the Kannada handwritten characters is an inevitable task as it has widespread applications in the...
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Duplication Scheduling with Bottom-Up Top-Down Recursive Neural Network
Scientific workflows can be represented as directed acyclic graphs (DAGs) with nodes corresponding to individual tasks and directed edges between the...
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Exploring Classic and Neural Lexical Translation Models for Information Retrieval: Interpretability, Effectiveness, and Efficiency Benefits
We study the utility of the lexical translation model (IBM Model 1) for English text retrieval, in particular, its neural variants that are trained...
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A presentation and retrieval hash scheme of images based on principal component analysis
Image representation and approximate query is always a research challenge and is affected greatly by the dimension and size of images. Since...
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Discrete Denoising Diffusion Approach to Integer Factorization
Integer factorization is a famous computational problem unknown whether being solvable in the polynomial time. With the rise of deep neural networks,...
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Metaheuristic-based vector quantization approach: a new paradigm for neural network-based video compression
Video compression has great significance in the communication of motion pictures. Video compression techniques try to remove the different types of...
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Object-Centric Alignments
Processes tend to interact with other processes and operate on various objects of different types. These objects can influence each other creating...
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Complete Quality Preserving Data Hiding in Animated GIF with Reversibility and Scalable Capacity Functionalities
A technique is put forward to hide data into an animated GIF by exploiting the transparent pixels. Specifically, a new frame is crafted based on the...
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Exploiting Algebraic Structures in Probing Security
The so-called \(\omega \) -encoding, introduced...
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\(\mathsf {Rabbit}\) : Efficient Comparison for Secure Multi-Party Computation
Secure comparison has been a fundamental challenge in privacy-preserving computation, since its inception as Yao’s millionaires’ problem (FOCS 1982)....
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Hamiltonicity of k-Sided Pancake Networks with Fixed-Spin: Efficient Generation, Ranking, and Optimality
We present a Hamilton cycle in the k -sided pancake network and four combinatorial algorithms to traverse the cycle. The network’s vertices are...
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Encryption to the Future
A number of recent works have constructed cryptographic protocols with flavors of adaptive security by having a randomly-chosen anonymous committee...
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Rapid Structure from Motion Frame Selection for Markerless Monocular SLAM
Simultaneous Localization and Map** (SLAM) is a method to simultaneously map the environment and estimate the location and pose of an agent. Visual...
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Symbolic Transformation of Expressions in Modular Arithmetic
We present symbolic methods to improve the precision of static analyses of modular integer expressions based on Abstract Interpretation. Like similar...
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Higher Order Statistical Analysis in Multiresolution Domain - Application to Breast Cancer Histopathology
Objective is to analyze textures in breast histopathology images for cancer diagnosis. Background: It is observed that breast cancer has second...