A new approach for abnormal human activities recognition based on ConvLSTM architecture

R Vrskova, R Hudec, P Kamencay, P Sykora - Sensors, 2022 - mdpi.com
Recognizing various abnormal human activities from video is very challenging. This problem
is also greatly influenced by the lack of datasets containing various abnormal human …

A survey of using machine learning in IoT security and the challenges faced by researchers

KM Harahsheh, CH Chen - Informatica, 2023 - digitalcommons.odu.edu
Abstract The Internet of Things (IoT) has become more popular in the last 15 years as it has
significantly improved and gained control in multiple fields. We are nowadays surrounded by …

[PDF][PDF] Heart Disease Classification for Early Diagnosis based on Adaptive Hoeffding Tree Algorithm in IoMT Data.

E Elbasi, AI Zreikat - Int. Arab J. Inf. Technol., 2023 - researchgate.net
Heart disease is a rapidly increasing disease that causes death worldwide. Therefore,
scientists around the globe start studying this issue from a different perspective to assure …

Classification of influenza H1N1 and COVID-19 patient data using machine learning

E Elbasi, A Zreikat, S Mathew… - 2021 44th International …, 2021 - ieeexplore.ieee.org
COVID-19 is a community-acquired infection with symptoms resembling those of influenza
and bacterial pneumonia. It has negatively affected the entire world in areas such as the …

Integrated Over-the-Air Computation and Non-Orthogonal Multiple Access Communication in Wireless Uplink Systems

L Mai, H Luo, Q Zhang - IEEE Transactions on Wireless …, 2024 - ieeexplore.ieee.org
Future Internet-of-Things applications may require both high-quality wireless data
aggregation and communication simultaneously. In this paper, we propose an integrated …

Recognition of human activity and abnormal behavior using deep neural network

R Vrskova, R Hudec, P Kamencay… - 2022 ELEKTRO …, 2022 - ieeexplore.ieee.org
Recognizing various abnormal activities of human behavior from video is very challenging.
The overall results are affected by the available data-sets. The available data-sets contain …

An Efficient Abnormal Event Detection System in Video Surveillance Using Deep Learning-Based Reconfigurable Autoencoder.

J Honnegowda, K Mallikarjunaiah… - … des Systèmes d' …, 2024 - search.ebscohost.com
Video surveillance captures a vast number of normal and abnormal events worldwide.
During this process, some attenuation occurs. Due to this phenomenon, inaccurate labelling …

[HTML][HTML] Internet of Things in Smart Banking: Hopes and Challenges

MI Hossain, MT Hossain, S Ejarder… - … Journal of Open …, 2023 - cyberleninka.ru
Banking services are one of the essential parts of our daily lives. People conduct almost all
financial transactions through banks. Now we cannot do without digital activities. Manual …

A Review On: Automated Surveillance System

N Thotapalli, RR Neerukattu… - 2023 IEEE Engineering …, 2023 - ieeexplore.ieee.org
Research involving human surveillance is crucial for addressing safety concerns. The
growing need for safety in a variety of settings has sparked a flurry of activity in the field of …

Utilizing Artificial Intelligence and IoT Technologies for Enhanced COVID-19 Diagnosis

E Elbasi, AI Zreikat, E Cina, AE Topcu - IoT and ML for Information …, 2024 - Springer
The rapid spread of COVID-19 and the high mortality toll globally necessitated an immediate
reaction from several industries to provide an early illness forecast. As a result, the Internet …