1.393 hasil
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Journal of Electrical and Computer Engineering
Scopus
ISSN 2090-0147 · Wiley · 1.393 artikel di indeks
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Artikel Jurnal
Driver EEG Attention Monitoring Based on Wavelet Packet Decomposition and BiLSTM
Aiming at the problem of insufficient feature extraction and low efficiency of dynamic time series modeling caused by the nonstationarity of driver electroencephalogram (EEG) signals in driving scenarios, this paper constructed an innovative framework that integrates wavelet packet decomposition…
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Artikel Jurnal
EE-FGO: Energy-Efficient Fuzzy Grey Wolf Optimization for Cluster Head Selection in WSN
A crucial component of the Internet of Things (IoT) is the wireless sensor network (WSN), which comprises numerous sensor nodes detecting various atmospheric variations such as temperature, pressure and humidity. These sensor nodes rely on internal batteries to power their sensors and communicate…
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Artikel Jurnal
Enhanced IoT Security: Blockchain, Cryptography, and CNN Integration for Mask Detection
Security concerns have become paramount, especially with the increasing reliance on facial recognition technology for identity verification. The use of masks, while essential for health protection, poses a significant challenge for these systems, hindering accurate identification. This issue is…
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Artikel Jurnal
Adapted Model: Drone vs. Bird Based on Pretrained Knowledge
Drones have become popular among citizens due to safety problems that need to be solved and controlled. In recent years, there have been tensions about the safety of people and the protection of buildings due to the sharp rise in the use of drones in industrial contexts. The development of drone…
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Artikel Jurnal
A Dependable Approach for the Early Detection of Diabetic Retinopathy Using Hybrid Machine Learning Models
Diabetic retinopathy (DR) is a common eye condition that can lead to blurred vision or even blindness. Therefore, early detection is crucial to prevent or mitigate its effects. However, the subtlety of early symptoms makes it challenging for doctors to identify the condition. To address this…
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Artikel Jurnal
Participation Factor–Based Uncertainty Handling for CEED Problem in a Sustainable Grid
The presence of renewable energy sources (RES) in a sustainable grid brings natural variability and uncertainty that complicate the reliable and cost-effective operation of power systems. This study investigates combined emission economic dispatch within a sustainable grid, aiming to lower both…
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Artikel Jurnal
Performance Enhancement of Radial Distribution Networks Based on Optimal Placement and Operations of Energy Storage System Based on Chaotic Generalized Normal Distribution Optimization
Renewable energy integration into the radial distribution network (RDN) presents challenges related to stability, reliability, and ensuring the smooth operation of the network. One potential approach to resolving these issues is to incorporate an energy storage system (ESS) within the RDN. Hence…
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Design a Third-Order DDSM With Effective Random Dither in Fractional Frequency Synthesizers to Reduce Fractional Spurs
In this paper, a new method for multistage digital sigma–delta modulators (DDSMs) is presented to increase the output sequence period and reduce fractional spurs. The output of a DDSM is always a periodic signal when the input is constant. A hybrid DDSM is premiere to its conventional counterpart…
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Artikel Jurnal
NLP-Assisted Blockchain Framework for Data Residency and Transfer Regulation in Multicloud Environment
International data transfer (IDT) regulations are significant for secure cloud adoption, establishing requirements for transparency, data sovereignty, and legal accountability in line with global frameworks such as the GDPR, CCPA, and Digital Personal Data Protection Act (DPDPA). Present solutions…
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Artikel Jurnal
Real-Time Recognition of Dynamic Gestures in Pakistan Sign Language Using YOLO and LSTM Networks
Sign language is a primary communication modality for many deaf and hard-of-hearing individuals, yet many recognition systems remain limited by static-gesture assumptions and weak generalization to realistic acquisition variability. This paper presents a real-time dynamic Pakistan Sign Language…
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Artikel Jurnal
Machine Learning–Based Short-Circuit Prediction in Electricity Distribution Transformers
Electricity transformers are critical components of electrical power systems, ensuring stable voltage regulation and reliable power distribution. However, unexpected failures, particularly due to short circuits, can lead to significant power outages and costly repairs. Traditional methods used for…
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Artikel Jurnal
Brain-Inspired Memory Network Empowering Intelligent Power System Inspection
Deep learning has greatly enhanced power system inspections, facilitating the development of intelligent devices for tasks such as fault detection and equipment monitoring. However, tracking targets in complex power environments, such as during inspections of power lines or substations, poses…
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Artikel Jurnal
A Data-Driven LSTM Framework for Real-Time Monitoring and Prediction of Aquaculture Water Quality Dynamics
Effective water quality management is critical for sustainable aquaculture, where environmental fluctuations directly affect productivity and system stability. This study proposes an integrated and field-validated smart aquaculture framework that combines low-cost Internet of Things (IoT) sensing…
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Artikel Jurnal
Deep Learning–Based Image Steganography for Signal Processing and Communication Systems: A Survey of Architectures, Lossy-Channel Robustness, and Evaluation Practices
Image steganography is a signal-processing and communication-system problem as much as a security problem: A hidden signal must be embedded, transmitted, and recovered through visual channels while preserving image fidelity and limiting statistically detectable distortion. This survey reviews 69…
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Enhancing Early Detection of Parkinson’s Disease Through Ensemble Learning and Nature-Inspired Feature Selection
Parkinson’s disease (PD) is a common central nervous system disorder that affects patients’ speech abilities. Early detection of PD is essential for improving the treatment process. In the past decade, extensive research has been conducted on the early diagnosis of PD using artificial intelligence…
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Artikel Jurnal
Real-Time GPS Coordinate Estimation of an Object Using a Monocular Camera
Determining the position of an object in outdoor environments is an essential requirement for autonomous systems such as unmanned aerial vehicles (UAVs) and mobile robots. In this context, this study introduces a simple yet effective method for estimating the distance and Global Positioning System…
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Artikel Jurnal
A Novel Hybrid Platform Based on Deep Learning for Fault Detection and Localization in a Smart Distribution Grid
The reliability of smart transmission systems critically depends on the rapid and accurate detection and localization of faults. However, existing approaches face inherent limitations; thus, traveling-wave (TW) methods offer high localization accuracy but require stringent measurement conditions…
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Artikel Jurnal
Hybrid Feature Selection–Based Approach to Predict Celiac Disease Using Ensemble Machine Learning With Hyperparameter Tuning and Model Explainability
Celiac disease is a chronic autoimmune disorder that primarily affects individuals genetically predisposed to it, causing damage to the small intestine upon gluten consumption. Although it affects around one person out of every hundred worldwide, celiac disease is frequently misdiagnosed…
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