The National Bureau of Economic Research has published a new working paper by economists Ali Shourideh (Carnegie Mellon University, Tepper School of Business), Maryam Farboodi (Massachusetts Institute ...
Research on Brain-Computer Interfaces (BCIs) stands at the intersection of neuroscience, engineering, and artificial intelligence, aiming to bridge ...
Over the past decades, computer scientists have introduced numerous artificial intelligence (AI) systems designed to emulate the organization and functioning of networks of neurons in the brain.
Communication-system designers have always had to deal with trade-offs among data reliability, efficient use of available spectrum, data throughput, and cost. Error-correction coding (ECC) is one of ...
test and verify the Reed-Solomon codec. Each of these steps is important, and missing one results in developing hardware that does not work the first time and must be re-created. For example, it is ...
Abstract: Accurate object segmentation in high-resolution remote sensing imagery is essential for urban planning, infrastructure monitoring, and environmental analysis. However, large-scale semantic ...
Abstract: In the domain of synthetic aperture radar (SAR) imagery, detecting small ships is challenging due to environments with resource constraints. The research presents a reliable technique ...
// you may not use this file except in compliance with the License. // You may obtain a copy of the License at // http://www.apache.org/licenses/LICENSE-2.0 #include ...
This project explores lightweight deep learning architectures for semantic segmentation using the ADE20K dataset. The goal is to design efficient segmentation models that can be suitable for real-time ...
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