Meta's chief AI scientist, Yann LeCun, says that a "new paradigm of AI architectures" will emerge in the next three to five ...
Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Institute of Reproductive and Child Health, School of Public Health, Peking University, ...
IoT-based Multisensors Fusion for Activity Recognition via Key Features and Hybrid Transfer Learning
Abstract: Human activity ... sensor data. The system employs a multi-stage processing pipeline involving preprocessing, segmentation, feature extraction, and classification to achieve high accuracy in ...
Abstract: Human activity recognition (HAR) using Wi-Fi-based systems is essential for applications such ... TF-Mamba features a dual-stream architecture comprising Time-Mamba and Frequency-Mamba ...
An AI system like ChatGPT (GPT-4) is not very sample efficient. It was "trained" on millions of examples of human text, constructing probabilistic "rules" about which combinations of words are most ...
Amid reports of unexplained drone activity across the nation ... to implement measures aimed at monitoring unmanned aircraft systems (UAS). Mysterious drone sightings in New Jersey, New York ...
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
This repository allows you to classify 40 different human actions. Pose detection, estimation and classification is also performed. Poses are classified into sitting, upright and lying down. This ...
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