[HTML][HTML] The digital harms of smart home devices: A systematic literature review
The connection of home electronic devices to the internet allows remote control of physical
devices and involves the collection of large volumes of data. With the increase in the uptake …
devices and involves the collection of large volumes of data. With the increase in the uptake …
Prediction of pulmonary diseases with electronic nose using SVM and XGBoost
VA Binson, M Subramoniam, Y Sunny… - IEEE Sensors …, 2021 - ieeexplore.ieee.org
The volatile organic compounds (VOC) present in the exhaled breath can be used as the
biomarkers of certain diseases especially pulmonary diseases. A system and device are …
biomarkers of certain diseases especially pulmonary diseases. A system and device are …
Enhancing smart home security: anomaly detection and face recognition in smart home IoT devices using logit-boosted CNN models
Internet of Things (IoT) devices for the home have made a lot of people's lives better, but
their popularity has also raised privacy and safety concerns. This study explores the …
their popularity has also raised privacy and safety concerns. This study explores the …
Addressing feature selection and extreme learning machine tuning by diversity-oriented social network search: an application for phishing websites detection
Feature selection and hyper-parameters optimization (tuning) are two of the most important
and challenging tasks in machine learning. To achieve satisfying performance, every …
and challenging tasks in machine learning. To achieve satisfying performance, every …
[HTML][HTML] Machine learning approach of detecting anomalies and forecasting time-series of IoT devices
With the development of smart cities infrastructure, these cities' energy efficiency has
become a major problem. Many public buildings, including health centers, educational …
become a major problem. Many public buildings, including health centers, educational …
Hybrid Bayesian optimization hypertuned catboost approach for malicious access and anomaly detection in IoT nomalyframework
The successful applications and diversified popularity of the Internet of Things (IoT) present
various advantages and opportunities in broad characteristics of our lives. However …
various advantages and opportunities in broad characteristics of our lives. However …
[HTML][HTML] Multi-objective genetic algorithm and CNN-based deep learning architectural scheme for effective spam detection
WS Jacob - International Journal of Intelligent Networks, 2022 - Elsevier
E-mail has traditionally been regarded as the most powerful medium in online social
networks, where users can discuss, connect, and share links with other online social media …
networks, where users can discuss, connect, and share links with other online social media …
Cost-effective design of IoT-based smart household distribution system
The Internet of Things (IoT) plays an indispensable role in present-day household electricity
management. Nevertheless, practical development of cost-effective intelligent condition …
management. Nevertheless, practical development of cost-effective intelligent condition …
Artificial intelligence empowered emails classifier for Internet of Things based systems in industry 4.0
In this paper, we introduce an approach to secure IoT devices from unsolicited emails by
using certain AI-based features and clustering in real-time. We propose a novel approach …
using certain AI-based features and clustering in real-time. We propose a novel approach …
On the pivotal role of artificial intelligence toward the evolution of smart grids: A review of advanced methodologies and applications
M Massaoudi, SS Refaat… - Smart Grid and Enabling …, 2021 - Wiley Online Library
This chapter addresses the status of artificial intelligence (AI) as a central element in smart
grid (SG) while focusing on the recent progress of research on machine learning techniques …
grid (SG) while focusing on the recent progress of research on machine learning techniques …