A novel method for diabetes classification and prediction with Pycaret

P Whig, K Gupta, N Jiwani, H Jupalle, S Kouser… - Microsystem …, 2023 - Springer
The incredible advances in biotechnology and public healthcare infrastructures have
resulted in a massive output of vital and sensitive healthcare data. Many fascinating trends …

Electric vehicle charging system in the smart grid using different machine learning methods

T Mazhar, RN Asif, MA Malik, MA Nadeem, I Haq… - Sustainability, 2023 - mdpi.com
Smart cities require the development of information and communication technology to
become a reality (ICT). A “smart city” is built on top of a “smart grid”. The implementation of …

The role of ML, AI and 5G technology in smart energy and smart building management

T Mazhar, MA Malik, I Haq, I Rozeela, I Ullah, MA Khan… - Electronics, 2022 - mdpi.com
With the help of machine learning, many tasks can be automated. The use of computers and
mobile devices in “intelligent” buildings may make tasks such as controlling the indoor …

A Feature Matching Method based on the Convolutional Neural Network.

W Dang, L Xiang, S Liu, B Yang, M Liu… - Journal of Imaging …, 2023 - search.ebscohost.com
Nowadays, feature based 3D reconstruction and tracking technology have been widely used
in the medical field. Feature matching is the most important step in feature-based 3D …

[HTML][HTML] A proactive role of IoT devices in building smart cities

S Ashraf - Internet of Things and Cyber-Physical Systems, 2021 - Elsevier
Due to rapid advancement in technology the world is rapidly changed to face the upcoming
challenges and going towards automation. The use of various IoT devices is making a vast …

Detection of Denial-of-Service Attack in Wireless Sensor Networks: A lightweight Machine Learning Approach

MA Elsadig - IEEE Access, 2023 - ieeexplore.ieee.org
The characteristics and performance of wireless sensor networks (WSNs) are the main
reasons for their rapid expansion in various fields. However, these networks are extremely …

Archimedes Fire Hawk Optimization enabled feature selection with deep maxout for network intrusion detection

BS Rani, S Vairamuthu, S Subramanian - Computers & Security, 2024 - Elsevier
Network intrusion detection systems (NIDSs) are fundamental for protecting computer
networks. In this paper, the Archimedes Fire Hawk Optimization (AFHO) enabled Deep …

Coverage algorithm based on perceived environment around nodes in mobile wireless sensor networks

Y Liu, Q Li - Wireless Personal Communications, 2023 - Springer
Wireless sensor networks are usually deployed in harsh environments, remote locations and
unmanned areas. Especially in the complex application environment, the optimization of …

Design and performance analysis of ohmic contact based SPMT RF MEMS switch

K Rajasekhar, K GirijaSravani… - Microsystem Technologies, 2023 - Springer
RF signal routers are become prominent in the modern wireless communication
transceivers. SPMT RF MEMS switches predominantly plays significant role in RF signal …

Distributed vehicular platoon control considering communication delays and packet dropouts

Z Shen, Y Liu, Z Li, Y Wu - Journal of the Franklin Institute, 2024 - Elsevier
The influence of both inter-vehicular communication delays and packet dropouts on platoon
control performance is studied. First, the conditions for achieving platoon mean square …