VOL. 23, NO.1 2025
Dublin Core
Title
VOL. 23, NO.1 2025
Collection Items
Prediction of heart disease using random forest algorithm, support vector machine, and neural network
The heart is a vital organ responsible for pumping blood throughout the human body. Machine learning has become an increasingly important tool in medical forecasting, improving diagnostic accuracy and reducing human errors. This study focuses on…
Effects of atmospheric turbulence and reconfigurable intelligent surfaces on near terrestrial optical link for internet of things
Near terrestrial free-space optical (NT-FSO) communication refers to the use of light to transmit data wirelessly through the atmosphere over relatively short distances, typically within the earth’s atmosphere. It is an alternative to traditional…
Identification of working memory status in children from EEG signal features using discrete wavelet transform
The conventional method for assessing the working memory performance of children is time-consuming and potentially inaccurate, especially when dealing with many samples. Therefore, an automated system that can produce swift and accurate results is…
NAT64 vs SIIT: performance and scalability study for VoIP services
The growing demand for IP addresses, driven by the proliferation of devices, has depleted the internet protocol (IP) version 6 (IPv6) reserves of some regional internet registries (RIRs). It is imperative to migrate to IPv6, offering an extended…
Swarm intelligence for intrusion detection systems in internet of things environments
The rise of the internet of things (IoT) technology has brought new security challenges, necessitating robust intrusion detection systems (IDS). This research applies swarm intelligence (SI) principles, specifically the pigeon inspired optimization…
Simple RNN-LSTM hybrid deep learning model for Bitcoin and EUR_USD forecasting
The popularity of deep learning in time series prediction has significantly increased compared to the past. In this article, we utilize deep learning methods, which encompass long short term memory (LSTM) networks, simple recurrent neural network…
Electroencephalography-based wheelchair navigation control using convolutional neural network method
Artificial intelligence refers to a computer-based system capable of learning human activities. For instance, in medical technology, AI can be used for a thought-controlled wheelchair. This study discusses the use of deep learning, specifically…
The bending effects on the performance of a flexible circular microstrip antenna on rubber-carbon substrates at 2.45 GHz
In this paper, we studied the effects of bending on the performance of a flexible circular microstrip antenna on rubber-carbon substrates at the 2.45 GHz industrial, scientific, and medical (ISM) band. Several rubber compositions are analyzed which…
BER performance in NOMA downlink transmission using AWGN, Rayleigh, and Rician fading channels
5G wireless technology is accessible to a much larger user base compared to previous cellular networks. Users can connect to base stations (BSs) in a variety of methods, including of frequency division multiplexing (FDM), orthogonal frequency…
PV solar anomaly detection using low-cost data logger and
ANN algorithm
This paper presents an innovative edge device architecture that significantly enhances
solar energy management systems. By integrating advanced functionalities
such as generation prediction, maintenance alerts, and solar anomaly detection,
this…
solar energy management systems. By integrating advanced functionalities
such as generation prediction, maintenance alerts, and solar anomaly detection,
this…