Deep embedded median clustering for routing misbehaviour and attacks detection in ad-hoc networks
A Rajendran, N Balakrishnan, P Ajay - Ad Hoc Networks, 2022 - Elsevier
Due to the properties of ad-hoc networks, it appears that designing sophisticated defence
schemes with more computing capital is impossible in most situations. Recently, an …
schemes with more computing capital is impossible in most situations. Recently, an …
An ambient intelligence-based human behavior monitoring framework for ubiquitous environments
N Thakur, CY Han - Information, 2021 - mdpi.com
This framework for human behavior monitoring aims to take a holistic approach to study,
track, monitor, and analyze human behavior during activities of daily living (ADLs). The …
track, monitor, and analyze human behavior during activities of daily living (ADLs). The …
[HTML][HTML] SAFE: An ICT platform for supporting monitoring, localization and rescue operations in case of earthquake
Earthquakes are unpredictable natural events that cause a high number of casualties every
year. During an earthquake, furniture and mobile equipment can either become obstacles or …
year. During an earthquake, furniture and mobile equipment can either become obstacles or …
Customer Shopping Behavior Analysis Using RFID and Machine Learning Models
G Alfian, MQH Octava, FM Hilmy, RA Nurhaliza… - Information, 2023 - mdpi.com
Analyzing customer shopping habits in physical stores is crucial for enhancing the retailer–
customer relationship and increasing business revenue. However, it can be challenging to …
customer relationship and increasing business revenue. However, it can be challenging to …
A machine learning based sentient multimedia framework to increase safety at work
In the last few decades, we have witnessed an increasing focus on safety in the workplace.
ICT has always played a leading role in this context. One ICT sector that is increasingly …
ICT has always played a leading role in this context. One ICT sector that is increasingly …
EmoWear: Wearable Physiological and Motion Dataset for Emotion Recognition and Context Awareness
The EmoWear dataset provides a bridge to explore Emotion Recognition (ER) via
Seismocardiography (SCG), the measurement of small cardio-respiratory induced vibrations …
Seismocardiography (SCG), the measurement of small cardio-respiratory induced vibrations …
[PDF][PDF] The importance of physiological data variability in wearable devices for digital health applications
This paper aims at characterizing the variability of physiological data collected through a
wearable device (Empatica E4), given that both intra-and inter-subject variability play a …
wearable device (Empatica E4), given that both intra-and inter-subject variability play a …
Real-world driver stress recognition and diagnosis based on multimodal deep learning and fuzzy EDAS approaches
Mental stress is known as a prime factor in road crashes. The devastation of these crashes
often results in damage to humans, vehicles, and infrastructure. Likewise, persistent mental …
often results in damage to humans, vehicles, and infrastructure. Likewise, persistent mental …
Success Prediction of Crowdsourced Projects for Competitive Crowdsourced Software Development
T Rashid, S Anwar, MA Jaffar, H Hakami, R Baashirah… - Applied Sciences, 2024 - mdpi.com
Competitive Crowdsourcing Software Development (CCSD) is popular among academics
and industries because of its cost-effectiveness, reliability, and quality. However, CCSD is in …
and industries because of its cost-effectiveness, reliability, and quality. However, CCSD is in …
[PDF][PDF] An Ambient Intelligence-Based Human Behavior Monitoring Framework for Ubiquitous Environments. Information 2021, 12, 81
N Thakur, CY Han - 2021 - researchgate.net
This framework for human behavior monitoring aims to take a holistic approach to study,
track, monitor, and analyze human behavior during activities of daily living (ADLs). The …
track, monitor, and analyze human behavior during activities of daily living (ADLs). The …