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Franklin Open
Scopus
ISSN 2773-1863 · Elsevier · 667 artikel di indeks
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Artikel Jurnal
Improving performance of MRAS-CC method by integrating motor resistance estimation in induction motor drives
This paper proposes an accuracy enhancement to the Model Reference Adaptive System-Current-Current (MRAS-CC) method for speed-sensorless control in the induction motor drive. The fundamental principle of the MRAS-CC method involves adjusting the difference between the virtual current and the…
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Artikel Jurnal
Exploring pancreatic cancer cell interactions: A fractional mathematical framework for siRNA therapy assessment
This research investigates the efficacy of siRNA therapy in mitigating pancreatic cancer through a fractional-order mathematical framework. Utilizing the Caputo–Fabrizio derivative to capture memory-dependent tumor–immune–cytokine interactions, we formulate and rigorously analyze distinct systems…
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Artikel Jurnal
Initial covariance estimation and analysis for EKF localization using route-based experimental data
Reliable initialization of covariance matrices is crucial for accurate state estimation in extended Kalman filter (EKF) applications. However, many previous works did not technically formulate but rather relied on assumed or arbitrary covariance values such as identity matrices or random…
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Artikel Jurnal
Mathematical modelling of COVID-19 transmission dynamics with immigration and dual quarantine–isolation strategies
The COVID-19 pandemic remains a major global health challenge, particularly in low- and middle-income countries where healthcare capacity is limited and individual health-seeking behaviour strongly influences transmission dynamics. Motivated by this context, we formulate and analyse a deterministic…
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Artikel Jurnal
Switch-adaptive secondary control against FDI attacks in AC microgrids
In this paper, a switch-adaptive secondary control(SASC) is devised to counteract the adverse impacts of false data injection(FDI) attacks on AC microgrids(MGs). Firstly, an FDI observer is established to adjust the secondary control compensation coefficients based on whether the detected FDI…
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Artikel Jurnal
Fractional-order approach to modeling and parameter study of leukemia using the laplace-adomian decomposition method
Leukemia is a type of blood cancer that originates in the bone marrow. The model incorporates susceptible blood cellsS1(t), infected blood cellsI1(t), cancer cells C1(t), immune blood cells W1(t) and cytokine C2(t). Analytical solutions are obtained using the Laplace-Adomian Decomposition Method…
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Artikel Jurnal
New efficient calibrated estimators for the population distribution function using two auxiliary variables
The population distribution function (DF) plays a crucial role in public health; its applications include modeling drug absorption/clearance rates, guiding personalized dosage decisions, and understanding patterns of infectious period durations. It is also used to quantify the fraction of the…
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Artikel Jurnal
Federated micro-expression mining and multi-modal metadata fusion for Deepfake fraud detection in ubiquitous financial video-KYC systems at IoT network
Introduction & Problem Statement- The increasing sophistication of AI-generated deepfakes poses significant challenges for financial video-KYC systems, where identity verification relies on accurate and real-time analysis of user biometrics. Traditional centralized and unimodal detection models…
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Artikel Jurnal
Semi-automatic approach utilizing Siamese Neural Network for forensic voice comparison
Forensic Voice Comparison (FVC) remains a critical yet challenging task in digital forensics, often hindered by manual subjectivity, background noise, and speaker variability. This paper presents a novel semi-automatic FVC framework based on Siamese Neural Networks (SNN), a discriminative…
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Artikel Jurnal
RevNN-based weed taxonomy: A novel species recognition framework
This research paper explores the application of reversible neural networks (RevNNs) in the domain of weed classification, aiming to enhance the accuracy and efficiency of automated weed species identification. Leveraging the unique bidirectional information flow inherent in RevNNs, this study…
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Artikel Jurnal
Comparative synthesis of particle swarm optimization and neural network for obstacle awareness area coverage path planning
Autonomous vehicles tasked with area coverage in cluttered environments, such as for search and rescue or precision agriculture, require path planners that are not only optimal but also robust and adaptable. Traditional planning methods often fail to balance these demands, struggling with…
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Artikel Jurnal
Modified fletcher–reeves spectral conjugate gradient algorithms with three-term structure for optimization and image restoration
The conjugate gradient (CG) method is a widely used technique for solving large-scale unconstrained optimization problems due to its simplicity and low memory requirements. The classical Fletcher-Reeves (FR) method, known for its strong theoretical convergence properties, often exhibits slow…
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Artikel Jurnal
Modeling the syndemic dynamics of tobacco use and methamphetamine abuse
Nicotine products are frequently co-abused with psychostimulants such as methamphetamine, though the mechanisms sustaining this syndemic remain unclear. Here, we model and analyze a nonlinear system of ordinary differential equations to explain the co-dynamics of tobacco smoking and methamphetamine…
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Artikel Jurnal
Plastic bottle defect detection based on convolutional neural network with MobileNetV2 architecture
Solid waste generated from human activities can be categorized into two main types: organic and inorganic waste. Plastic is one type of inorganic waste that can be recycled to reduce the negative impact of plastic waste and provide economic value. However, manual sorting of plastic bottles is…
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Artikel Jurnal
Addressing mixed pixel challenges in crop mapping: An integrated remote sensing and machine learning framework
Effective classification of crop types in mosaic farmland remains challenging due to spectrally mixed pixels and irregular field shapes. This study presents an integrated remote sensing framework combining texture analysis, subpixel classification, Ehlers fusion, and Object-Based Image Analysis…
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Artikel Jurnal
On the design and analysis of quad element UWB MIMO antenna with various mutual coupling reduction techniques for indoor wireless communications
This research article presents the design of a quad-port UWB MIMO antenna incorporating different mutual coupling reduction techniques for indoor wireless applications. Initially, a single-element UWB antenna is designed on an FR4 substrate with dimensions of 30× × 30 × 1.6 mm³ and is fed by a…
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Artikel Jurnal
A similarity measure for intuitionistic fuzzy sets with improved clustering accuracy and applications in pattern recognition
Modern systems often encounter uncertainties arising from both randomness and fuzziness, which pose significant challenges to effective data analysis. To address these challenges, researchers have increasingly focused on fuzzy clustering techniques as a unified approach to managing dual…
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Artikel Jurnal
Machine learning for early detection of post-acute sequelae of COVID-19 (PASC): A comparative review of symptoms and risk factors
SARS-CoV-2 is a multi-organ disease with a broad range of symptoms. Extensive research has been conducted to improve early detection, syndrome prediction, and diagnosis. However, the persistent condition experienced by recovered patients with COVID-19, known as post-acute sequelae of COVID-19…
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Artikel Jurnal
Remaining useful life predictions of aero-engines using dilated LSTM with attention mechanism
Prognostics and Health Management (PHM) is a pivotal field that focuses on predicting the future health and operational life of systems and components. One of the key aspects of PHM in aviation is predicting the Remaining Useful Life (RUL) of aircraft engines. Accurate RUL predictions enable…