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.
Abstract: With the transformative impact of the Transformer, DETR pioneered the application of the encoder-decoder ar-chitecture to object detection. A collection of follow-up research, e.g., ...
Abstract: Anomaly detection (AD) in medical applications is a promising field, offering a cost-effective alternative to labor-intensive abnormal data collection and labeling. However, the success of ...
A FLAC (Free Lossless Audio Codec) decoder optimized for ESP32 embedded devices. Supports both native FLAC and Ogg FLAC containers with automatic format detection. Designed as an ESP-IDF component ...
Abstract: Acute appendicitis (AA) is one of the most prevalent surgical acute abdominal condition diseases. The recognition and segmentation of the inflamed appendix are important for AA diagnosis.
Abstract: In the face of intense volatility in the global LNG market, industry news and project reports have become critical sources for uncovering risk intelligence. However, their unstructured ...
Abstract: Change detection plays a vital role in numerous real-world domains, aiming to accurately identify regions that have changed between two temporally distinct images. Capturing the complex ...
BrainWhisperer is Tether’s Brain-to-text project. Tether is earmarking resources to build technologies that push the borders of intracranial electrocortical decoding. The latest result is a variable ...
Abstract: This paper addresses the challenge of anti-jamming in orthogonal time frequency space (OTFS) modulation systems by proposing a novel anti-jamming decoder. The design of this decoder presents ...
Abstract: The ionosphere is vital for satellite navigation and radio communication, but observational limitations necessitate ionospheric forecasting. The least squares collocation (LSC) method is ...