Robust detection method for improving small traffic sign recognition based on spatial pyramid pooling

C Dewi, RC Chen, H Yu, X Jiang - Journal of Ambient Intelligence and …, 2023 - Springer
An extraordinary challenge for real-world applications is traffic sign recognition, which plays
a crucial role in driver guidance. Traffic signals are very difficult to detect using an extremely …

Future smart connected communities to fight covid-19 outbreak

D Gupta, S Bhatt, M Gupta, AS Tosun - Internet of Things, 2021 - Elsevier
Abstract Internet of Things (IoT) has grown rapidly in the last decade and continues to
develop in terms of dimension and complexity, offering a wide range of devices to support a …

[PDF][PDF] DeepBlockScheme: A deep learning-based blockchain driven scheme for secure smart city

SK Singh, AE Azzaoui, TW Kim, Y Pan… - Human-centric Computing …, 2021 - hcisj.com
Today, the continuous deployment of sensors and the Internet of Things (IoT) has boosted
the amount of manufacturing data in the smart city. Factories are rapidly becoming more …

Meta-learning meets the Internet of Things: Graph prototypical models for sensor-based human activity recognition

W Zheng, L Yan, C Gou, FY Wang - Information Fusion, 2022 - Elsevier
With the rapid growth of the Internet of Things (IoT), smart systems and applications are
equipped with an increasing number of wearable sensors and mobile devices. These …

A deep machine learning method for concurrent and interleaved human activity recognition

K Thapa, ZM Abdullah Al, B Lamichhane, SH Yang - Sensors, 2020 - mdpi.com
Human activity recognition has become an important research topic within the field of
pervasive computing, ambient assistive living (AAL), robotics, health-care monitoring, and …

Semi-supervised adversarial learning using LSTM for human activity recognition

SH Yang, DG Baek, K Thapa - Sensors, 2022 - mdpi.com
The training of Human Activity Recognition (HAR) models requires a substantial amount of
labeled data. Unfortunately, despite being trained on enormous datasets, most current …

On integration of multiple features for human activity recognition in video sequences

A Kushwaha, A Khare, P Srivastava - Multimedia Tools and Applications, 2021 - Springer
Human activity recognition has become one of the most active areas of research in computer
vision, due to its increasing demand in many automated monitoring applications such as …

A smart surveillance system for uncooperative gait recognition using cycle consistent generative adversarial networks (CCGANs)

WA Alsaggaf, I Mehmood, EF Khairullah… - Computational …, 2021 - Wiley Online Library
Surveillance remains an important research area, and it has many applications. Smart
surveillance requires a high level of accuracy even when persons are uncooperative. Gait …

Develop an adaptive real-time indoor intrusion detection system based on empirical analysis of OFDM subcarriers

W Zhuang, Y Shen, L Li, C Gao, D Dai - Sensors, 2021 - mdpi.com
Device-free passive intrusion detection is a promising technology to determine whether
moving subjects are present without deploying any specific sensors or devices in the area of …

A comprehensive review of IoT technologies and applications for healthcare

S Chen, X Jin, L Zhang, J Wan - … in Artificial Intelligence and Security: 7th …, 2021 - Springer
With the recent technological advancements, The Internet of Things offers numerous and
potentially revolutionary benefits to all aspects of today's digital world. Personalised and …