Artificial intelligence is fundamentally rewriting the timeline of immunology, moving vaccine development away from traditional, slow-paced lab trials and toward predictive computational modeling.
Abstract: Cyclic redundancy check-aided tail-biting convolutional code (CRC-TBCC) is considered as a competitive candidate for ultra-reliable and low-latency communications (URLLC) in short-length ...
Blind recognition of channel codes based on dual-branch feature fusion convolutional neural networks
Facing heterogeneous signals increasing in dynamic spectrum, cognitive radio urgently needs blind channel coding identification. This technology addresses the core challenge of unknown coding schemes ...
Medical image repositories have been rapidly growing due to the widespread use of imaging techniques, making manual annotation unfeasible. Efficient image retrieval systems are crucial for diagnosing ...
Bringing on artificial intelligence as a collaborator can make coding feel more accessible to those with little training in it, but there are trade-offs. By Lora Kelley What is a vibe? Many know it ...
1 Department of Computer Engineering, School of Engineering, The University of Jordan, Amman, Jordan. 2 Department of Data Science and Artificial Intelligence, Faculty of Information Technology, ...
The goal of this tutorial is to learn to design and code a more complex Convolutional Neural Network (CNN) in Python. In previous edition https://www.linkedin.com ...
ABSTRACT: Software defect prediction and cost estimation are critical challenges in software engineering, directly influencing software quality and project management efficiency. This study presents a ...
I have been going through the project and noticed what seems to be an inconsistency between the project paper and the actual implementation, which I would like to discuss. I am unsure whether this ...
Abstract: Recently, convolutional sparse coding (CSC) has been successfully applied to seismic data denoising. CSC differs from traditional dictionary learning methods based on patching schemes in ...
Binary Convolutional Codes (BCC) are a type of error-correcting code used in digital communication systems to mitigate the effects of noise and interference during transmission. This repository ...
Coding parameters The main parameters of a convolutional code are the rate (r), constraint length (K) and generator polynomials (g1, g2, etc). A very popular code used in space communications is C (r ...
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