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Symmetric-threshold ReLU for Fast and Nearly Lossless ANN-SNN Conversion
The artificial neural network-spiking neural network (ANN-SNN) conversion, as an efficient algorithm for deep SNNs training, promotes the performance...
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Lossless audio CODEC using non-repeated dynamic block encoding
In this paper, a lossless audio codec with dynamic block coding has been proposed. In the present technique, audio signal is compressed by...
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Lossless audio codec based on CNN, weighted tree and arithmetic encoding (LACCWA)
In this paper, an integrated lossless audio codec with improved compression ratio has been proposed using traditional methods as well as...
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Low power high speed FPGA design of lossless medical image compression using optimal deep neural network
Medical image compression is vital for preserving image quality and optimizing storage and transmission in healthcare facilities. FPGA design faces...
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Luminescent solar concentrator efficiency enhanced via nearly lossless propagation pathways
Luminescent solar concentrators (LSCs) have the potential to serve as energy-harvesting windows in buildings. Although recent advances in...
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Efficient preparation of lossless quantum images based on Gray code
The initialization of desired quantum states is usually the starting element of quantum algorithms. For quantum image processing, inefficient...
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Effect of Format Conversion on Source Identification from Audio Recordings: A Study for Forensic Purposes
Source identification from audio recordings is one of the important problems in the forensic domain. In this paper, we study the effect of format...
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Perseverance of the Audio Data using RNN Implied Matrix Segmentation based Lossless Encoder
Lossless audio encoding is a crucial technique by reducing the size of an audio file while maintaining privacy and perseverance of the audio data. In... -
Improving sign-algorithm convergence rate using natural gradient for lossless audio compression
In lossless audio compression, the predictive residuals must remain sparse when entropy coding is applied. The sign algorithm (SA) is a conventional...
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Reconstruction of lossless molecular representations from fingerprints
The simplified molecular-input line-entry system (SMILES) is the most prevalent molecular representation used in AI-based chemical applications....
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Low-Power Low-Area Near-Lossless Image Compressor for Wireless Capsule Endoscopy
The paper presents the concept of a low-power, low-area, near-lossless image compressor for resource-constrained devices such as wireless capsule...
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Explainable Machine Learning for Categorical and Mixed Data with Lossless Visualization
Building accurate and explainable/interpretable Machine Learning (ML) models for heterogeneous/mixed data is a long-standing challenge for algorithms... -
MSAT: biologically inspired multistage adaptive threshold for conversion of spiking neural networks
Spiking neural networks (SNNs) can do inference with low power consumption due to their spike sparsity. Although SNNs can be combined with...
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Multi-layer permutation-substitution operations based novel lossless multiple color image encryption
This work develops a novel lossless multiple color image encryption based on multi-layer permutation-substitution operations. Initially, sixteen RGB...
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ECG Signal Detection and Lossless Data Compression Techniques for Implantable Cardiac Pacemaker Systems
The current trends and medical scenarios have given birth to several QRS-complex detection algorithms. The striking feature of all these detection... -
High efficiency lossless image recompression algorithm with asymmetric numeral systems for real-time mobile application
JPEG images are widely used by individual users, data centers, cloud storages, and network file systems. The huge transmission and storage bandwidth...
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Image lossless encoding and encryption method of EBCOT Tier1 based on 4D hyperchaos
To satisfy requirements of high security and transmission efficiency in application scenarios with high image quality, an image lossless encryption...
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Information Lossless Multi-modal Image Generation for RGB-T Tracking
Visible-Thermal infrared(RGB-T) multimodal target representation is a key issue affecting RGB-T tracking performance. It is difficult to train a... -
Lossless Image Compression Using Machine Learning
As communication networks evolve, so does the technology for exchanging and transmitting information. With millions of photos uploaded on social... -
Redundancy Reduction and Adaptive Bit Length Encoding-Based Purely Lossless ECG Compression
In the proposed work, the redundancy reduction-based two-dimensional (2D) electrocardiogram (ECG) data compression technique is performed wherein the...