Results 11 to 20 of about 35,651 (167)

Asymmetric Residual Neural Network for Accurate Human Activity Recognition

Information, 2019
Human activity recognition (HAR) using deep neural networks has become a hot topic in human−computer interaction. Machines can effectively identify human naturalistic activities by learning from a large collection of sensor data.
Jun Long, Wuqing Sun, Zhan Yang, Osolo Ian Raymond   +3 more
doaj   +1 more source

Identifying the Preferences of Spatial Features in the Apartment Houses of Bandar Abbas, Emphasizing on the Lived Experience of the Residents [PDF]

توسعه پایدار شهری
One of the important pillars of providing housing is to pay attention to the documented and reliable preferences of citizens, according to which it is possible to deal with the prescriptions and design solutions in the field of housing and residential ...
Mehdi Asgharkhah Farkhani, Bahram Shahedi, Mohsen Afshari, Seyedeh Pourandokht Saadati   +3 more
doaj   +1 more source

Motion boundary emphasised optical flow method for human action recognition

IET Computer Vision, 2020
This study proposes a three‐stream model using two different types of deep convolutional neural networks (CNNs): (i) a spatial stream with a CNN on images; (ii) a ResNet (residual network) on optical flows; and, (iii) a ResNet on the concatenation of ...
Cheng Peng, Haozhi Huang, Ah‐Chung Tsoi, Sio‐Long Lo, Yun Liu, Zi‐yi Yang   +5 more
doaj   +1 more source

Spatial characteristics and cultural factors of Yi nationality traditional dwellings based on spatial syntax

Frontiers in Earth Science, 2023
The spatial layout of traditional residential houses is closely related to national and regional characteristics and culture. The traditional village of Yi nationality is selected, and the organization structure of the outside village and the inside ...
Qin Lai, Wei Liu, Xing Li, Qiu Jin
doaj   +1 more source

Streetscapes as Collective Spaces in Dar es Salaam’s Informal Settlements

In_Bo
Due to a massive shortage of housing alternatives, the creation and expansion of informal settlements in the global South have become an instant answer for individuals searching for places to live.
Jacob Lutta, Yves Schoonjans
doaj   +1 more source

Optimized Temporal Denoised Convolutional Autoencoder for Enhanced ADHD Classification Using fMRI Data

IEEE Access
Attention Deficit Hyperactivity Disorder (ADHD) is a neurodevelopmental disorder that affects individuals across all age groups, from childhood through adulthood, and can significantly impact daily functioning.
Zarina Begum, Kareemulla Shaik
doaj   +1 more source

Spectral–spatial feature extraction using orthogonal linear discriminant analysis for classification of hyperspectral data

European Journal of Remote Sensing, 2017
Hyperspectral image classification is among the most frequent topics of research in recent publications. This paper proposes a new supervised linear feature extraction method for classification of hyperspectral images using orthogonal linear discriminant
Hamid Reza Shahdoosti, Fardin Mirzapour
doaj   +1 more source

Insulator Fault Detection Based on Spatial Morphological Features of Aerial Images

IEEE Access, 2018
Because insulators provide electrical insulation and mechanical support for electric transmission lines, these components are of paramount importance to safe and reliable operations of power systems.
Yongjie Zhai, Rui Chen, Qiang Yang, Xiaoxia Li, Zhenbing Zhao   +4 more
doaj   +1 more source

Ultra-Wide Band Radar Empowered Driver Drowsiness Detection with Convolutional Spatial Feature Engineering and Artificial Intelligence

Sensors
Driving while drowsy poses significant risks, including reduced cognitive function and the potential for accidents, which can lead to severe consequences such as trauma, economic losses, injuries, or death.
Hafeez Ur Rehman Siddiqui, Ambreen Akmal, Muhammad Iqbal, Adil Ali Saleem, Muhammad Amjad Raza, Kainat Zafar, Aqsa Zaib, Sandra Dudley, Jon Arambarri, Ángel Kuc Castilla, Furqan Rustam   +10 more
doaj   +1 more source

Refined Spatial Network for Human Action Recognition

IEEE Access, 2019
Effective video representation is a key ingredient in action recognition, but how to learn effective spatial features remains a fundamental and challenging task.
Chunlei Wu, Haiwen Cao, Weishan Zhang, Leiquan Wang, Yiwei Wei, Zexin Peng   +5 more
doaj   +1 more source