Recent Advances in Electrical & Electronic Engineering - Current Issue

BackgroundDetecting heart disease in a timely manner is vital for preventing its progression, as it is the primary cause of death across the globe. Machine learning has the potential to enhance diagnostic accuracy and enable better clinical decision-making. A machine learning-powered hybrid system for diagnosing heart disease may provide a better optimal solution for heart disease prediction.ObjectiveThe overarching objecti Read More

BackgroundDiabetes mellitus, stemming from insulin deficiency or resistance, poses acute and chronic health issues driven by factors like age, obesity, genetics, and lifestyle. It significantly impacts health, leading to conditions like heart disease, vision problems, and kidney dysfunction, with a notable mortality rate reported by the WHO in 2019. The modern diet has escalated diabetes risk. Machine learning techniques play a Read More

IntroductionIn recent years, the integration of renewable energy sources, particularly Photovoltaic (PV) systems, into the grid has garnered considerable attention. However, the distributed nature of these grid-integrated PV systems has introduced challenges concerning grid faults and maintenance.MethodsThis paper aims to present a pioneering approach to augment the monitoring of grid-integrated PV systems by int Read More

BackgroundThough great progress has been made in deep learning-based fusion methods, there still are some troubling challenges, such as low contrast, weak feature preservation, the loss of global information, and poor color fidelity.MethodsA multimodal medical image fusion method based on the Swin Transformer and self-supervised contrast learning is proposed. The Swin Transformer can well utilize the hierarchical Read More

BackgroundHeart failure is the leading cause of death globally over the last several decades. This raises the necessity of timely, accurate, and prudent methods for establishing an early diagnosis and implementing timely illness care.ObjectiveThis study aims to develop and validate a classification model for the patients admitted to the Intensive Care Unit (ICU) with heart failure, using various machine learning models Read More

BackgroundAccurate diagnosis of respiratory conditions is paramount, and this is particularly the case for pneumonia - a common but potentially life-threatening illness that affects many millions worldwide. This review focuses on the diagnostic dilemma and testing paradigm in all types of pneumonia i-e bacterial, viral especially COVID-19 associated.MethodsThis study will use chest X-ray and CT scans, traditional tools for p Read More

IntroductionThe medical field can utilize radiological images with deep learning techniques to diagnose disease more accurately, enabling the diagnosis and classification of a variety of illnesses. In the domain of learning and machine vision, identifying COVID-19 from X-ray images is a developing area. Since the onset of COVID-19, significant work has been performed, yet some issues remain in this field.MethodsFirstly, Read More

Microfluidic sensors have garnered significant attention over the past decade due to the growing need for microsystem automation and their applications in biology and optical control. This review paper explores the extensive use of microfluidic applications across diverse sectors, including medical, optical, and automation. The study examines various types of microfluidic sensors tailored for specific applications and analyze Read More

Emotion recognition, both verbal and non-verbal, is a crucial component of artificial intelligence, psychology, and human-computer interaction. Emotion recognition is an integral component that significantly contributes to the improvement of communication and interaction. The research endeavors to conduct a thorough analysis and synthesis of the most recent developments in Deep Learning (DL) and Machine Learning ( Read More

Blockchain, the revolutionary technology behind the existence of cryptocurrencies has received enormous recognition worldwide due to its immutable system which allows transactions to take place in a decentralized manner ensuring security and accountability. In a trustless environment, blockchain systems work consistently, where each block’s data is distributed across a dense peer-to-peer (P2P) network. I Read More

IntroductionThis paper addresses the ongoing challenge of harmonics reduction in power systems, particularly focusing on Flexible AC Transmission Systems (FACTS) devices. Instead of employing a conventional multilevel converter, an alternative configuration is proposed: a 36-pulse gate turn-off thyristor-based converter (GTO-VSC). This converter comprises three 12-pulse Voltage Source Converters (VSCs) as fundamental unit Read More

IntroductionBlockchain technology has revolutionized data management and transaction recording, extending its application beyond cryptocurrencies to various sectors, including Central Bank Digital Currencies (CBDCs).MethodsThis distributed ledger technology offers a transparent, immutable, and secure transaction platform, reducing the risk of data tampering and increasing resistance to attacks. How Read More

BackgroundThe current method has low detection accuracy for electric vehicle charging ports in complex environments.ObjectiveThis paper proposes a method for electric vehicle charging port recognition based on wavelet enhancement and an improved canny algorithm.MethodsFirstly, a preprocessing assessment model is proposed to determine whether preprocessing enhancement should be applied. Subsequently, we Read More

BackgroundDue to experimental equipment limitations, it is usually difficult to measure the quasi-static hysteresis loop at extremely low frequencies, which inevitably introduces errors in the static hysteresis model.ObjectiveThis study aims to propose a method for calculating the static hysteresis loops of grain-oriented silicon steel sheets so as to improve the accuracy of the static and dynamic hysteresis model.Me Read More

BackgroundWith the growing need for information safety and security rules in every corner of the globe. The biometric innovation has been used widely all over the world in daily life. In this view, the Multimodal-based biometric technique has gained popularity and interest due to its capability to resolve various problems associated with single-model biometric identification systems.MethodsIn this research, an advanced multim Read More

IntroductionArc fault has become an increasingly prominent problem affecting the safe operation of power distribution networks. Research on arc fault detection can effectively reduce electrical fire accidents caused by arc faults, which is of great significance for ensuring the safe and reliable operation of power distribution networks.MethodsIn this paper, an arc fault detection method based on current convolution is proposed Read More

BackgroundFire incidents occur in complex scenarios, where the dynamic positions and varying scales of flames and smoke pose challenges for fire detection. To improve the stability, localization accuracy, and detection precision of small targets in fire detection, a fused PBCA method for fire and smoke object detection has been proposed in this paper, called FS-YOLOv8.ObjectiveThe objective of this approach was to improve the d Read More

BackgroundIn this article, an IOT solution for managing and controlling a PV system with applications for the home is presented. A DC-DC SEPIC converter, a bidirectional converter, a PWM generator, and a single-phase voltage source inverter with active clamping are used for power conditioning. An output voltage control loop is implemented, and real-time online communication with an internet server is accomplishe Read More

BackgroundAs one of the key components of ultra-wideband (UWB) system, UWB filter has important research significance. However, the current UWB filter still has the problem of a narrow stopband and cannot suppress the interference signals in the passband.ObjectiveIn this paper, a novel UWB bandpass filter is proposed, which has wide stopband characteristics and good out-of-band rejection performance and implements Read More