Long sequence time-series forecasting with deep learning: A survey
The development of deep learning technology has brought great improvements to the field
of time series forecasting. Short sequence time-series forecasting no longer satisfies the …
of time series forecasting. Short sequence time-series forecasting no longer satisfies the …
Multi-source information fusion based on rough set theory: A review
Abstract Multi-Source Information Fusion (MSIF) is a comprehensive and interdisciplinary
subject, and is referred to as, multi-sensor information fusion which was originated in the …
subject, and is referred to as, multi-sensor information fusion which was originated in the …
Collaborative multi-robot search and rescue: Planning, coordination, perception, and active vision
JP Queralta, J Taipalmaa, BC Pullinen, VK Sarker… - Ieee …, 2020 - ieeexplore.ieee.org
Search and rescue (SAR) operations can take significant advantage from supporting
autonomous or teleoperated robots and multi-robot systems. These can aid in mapping and …
autonomous or teleoperated robots and multi-robot systems. These can aid in mapping and …
[HTML][HTML] Measuring residents' perceptions of city streets to inform better street planning through deep learning and space syntax
L Wang, X Han, J He, T Jung - ISPRS Journal of Photogrammetry and …, 2022 - Elsevier
The quality of street space plays an important role in promoting urban development. Street
space refers to public spaces consisting of street elements such as plant, roads and …
space refers to public spaces consisting of street elements such as plant, roads and …
Image retrieval from remote sensing big data: A survey
The blooming proliferation of aeronautics and astronautics platforms, together with the ever-
increasing remote sensing imaging sensors on these platforms, has led to the formation of …
increasing remote sensing imaging sensors on these platforms, has led to the formation of …
How to build a graph-based deep learning architecture in traffic domain: A survey
In recent years, various deep learning architectures have been proposed to solve complex
challenges (eg spatial dependency, temporal dependency) in traffic domain, which have …
challenges (eg spatial dependency, temporal dependency) in traffic domain, which have …
Data fusion for ITS: A systematic literature review
C Ounoughi, SB Yahia - Information Fusion, 2023 - Elsevier
In recent years, the development of intelligent transportation systems (ITS) has involved the
input of various kinds of heterogeneous data in real time and from multiple sources, which …
input of various kinds of heterogeneous data in real time and from multiple sources, which …
How generative adversarial networks promote the development of intelligent transportation systems: A survey
In current years, the improvement of deep learning has brought about tremendous changes:
As a type of unsupervised deep learning algorithm, generative adversarial networks (GANs) …
As a type of unsupervised deep learning algorithm, generative adversarial networks (GANs) …
Review of data fusion methods for real-time and multi-sensor traffic flow analysis
SA Kashinath, SA Mostafa, A Mustapha… - IEEE …, 2021 - ieeexplore.ieee.org
Recently, development in intelligent transportation systems (ITS) requires the input of
various kinds of data in real-time and from multiple sources, which imposes additional …
various kinds of data in real-time and from multiple sources, which imposes additional …
Deep-IFS: Intrusion detection approach for industrial internet of things traffic in fog environment
The extensive propagation of industrial Internet of Things (IIoT) technologies has
encouraged intruders to initiate a variety of attacks that need to be identified to maintain the …
encouraged intruders to initiate a variety of attacks that need to be identified to maintain the …