Search Results - "encoder-decoder transformer"

Evaluation of Encoder-Only Transformer for Multi-Step Traffic Flow Prediction

Authors: Mas Omar Fitri Yakub Andika Aji Wijaya et al.

Source: IEEE Access, Vol 13, Pp 106349-106368 (2025)

Subject Terms: encoder-only transformer, multi-step prediction, Traffic flow prediction, Electrical engineering. Electronics. Nuclear engineering, long short-term memory, encoder-decoder transformer, TK1-9971

Access URL: https://doaj.org/article/e76d51f8b38f42708baaec6c880e3665

MMTraP: Multi-Sensor Multi-Agent Trajectory Prediction in BEV

Authors: Sushil Sharma Arindam Das Ganesh Sistu et al.

Source: IEEE Open Journal of Vehicular Technology, Vol 6, Pp 1551-1567 (2025)

Subject Terms: Transportation engineering, Sensor fusion, TA1001-1280, bird's-eye-view, semantic segmentation, multi-agent trajectory prediction, Transportation and communications, encoder-decoder transformer, HE1-9990

Access URL: https://doaj.org/article/fd4d59527eea4cb38ef2642b8f4f75e1

A System for Real-Time Detection of Abandoned Luggage

Authors: Ivan Vrsalovic Jonatan Lerga Marina Ivasic-Kos

Source: Sensors, Vol 25, Iss 9, p 2872 (2025)

Subject Terms: computer vision, deep learning, object detection, YOLOv8, YOLOv11, DETR encoder–decoder transformer, Chemical technology, TP1-1185

File Description: electronic resource

Relation: https://www.mdpi.com/1424-8220/25/9/2872; https://doaj.org/toc/1424-8220

Access URL: https://doaj.org/article/3976e4e0e23c4df490450c7d63b716fe

BEVSeg2GTA: Joint Vehicle Segmentation and Graph Neural Networks for Ego Vehicle Trajectory Prediction in Bird’s-Eye-View

Authors: Sushil Sharma Arindam Das Ganesh Sistu et al.

Source: IEEE Access, Vol 12, Pp 132159-132174 (2024)

Subject Terms: Multi-view camera, encoder-decoder transformer, Bird’s-Eye-View, semantic segmentation, graph neural network, spatio-temporal probabilistic network, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

File Description: electronic resource

Relation: https://ieeexplore.ieee.org/document/10679361/; https://doaj.org/toc/2169-3536

Access URL: https://doaj.org/article/c92ba10500ec4ceaa470ecf4984aa8ce

Nemo: An Open-Source Transformer-Supercharged Benchmark for Fine-Grained Wildfire Smoke Detection

Authors: Amirhessam Yazdi Heyang Qin Connor B. Jordan et al.

Source: Remote Sensing, Vol 14, Iss 16, p 3979 (2022)
Remote Sensing
Volume 14
Issue 16
Pages: 3979

Subject Terms: Science, deep learning, 02 engineering and technology, wildfire, computer vision, encoder–decoder Transformer, direct set prediction, benchmark, smoke, 13. Climate action, incipient stage, smoke density detection, 0202 electrical engineering, electronic engineering, information engineering, attention mechanism

File Description: application/pdf

Access URL: https://doaj.org/article/8020669e221443c7b8b6213e70287a7c