Design Optimization and Performance Analysis of High Torque Density and Efficiency Motors for eVTOL Applications by Qiang He, Haoyu Wang, Qing Li

“…To address the strong coupling issue of stator structural parameters, a multi-objective optimization algorithm was introduced to achieve a balance between high torque density and high efficiency. …”
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Circular Radon Transform Inversion Technique in Synthetic Aperture Ultrasound Imaging: an Ultrasound Phantom Evaluation by Jurij TASINKEVYCH, Ihor TROTS

“…The paper presents derivation of the closed-form solution of the CRT inversion algorithms by two different approaches: the range-migration algorithm (RMA) and the deconvolution algorithm (DA). …”
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Combination of machine learning and data envelopment analysis to measure the efficiency of the Tax Service Office by Shofinurdin Soffan, Arif Bramantoro, Ahmad A. Alzahrani

“…The optimization of multilayer perceptrons using genetic algorithms reduced the mean squared error by about 75.75%, from 0.0144 to 0.0035. …”
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Identifying network state-based Parkinson’s disease subtypes using clustering and support vector machine models by Benedictor Alexander Nguchu, Benedictor Alexander Nguchu, Yifei Han, Yanming Wang, Peter Shaw

“…IntroductionParkinson’s disease (PD) heterogeneity poses challenges to the current development of discovering the best therapeutic targets.MethodsHere, we employ K-means and hierarchical clustering algorithms on data from the Parkinson’s Progression Markers Initiative (PPMI) to identify network-specific patterns that describe PD subtypes using the optimal number of brain features. …”
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Demand side management with electric vehicles and optimal renewable resources integration under system uncertainties by Mohamed Mostafa Eissa, Rania Abdel Wahed Swief, Tarek Saad Abdel Salam

“…The study utilizes the Zebra optimization algorithm (ZOA), in comparison with the Whale optimization algorithm (WOA), Grey wolf optimization algorithm (GWO), and Genetic algorithm (GA). …”
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A measure of the difference between test sets for generating controlled random tests by V. N. Yarmolik, V. V. Petrovskaya, I. Mrozek

“…For the case p = 2, mathematical relations are given for calculating the intervals and distances AD(Ti, Tk) for address sequences 2A used for controlled random testing of storage devices. The main attention is paid to binary test sets, when the task of calculating given difference metric is reduced to the classical assignment problem using the Hungarian algorithm. …”
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Determination of ²³⁸U Content by Gamma Radiation Emitting from ^234mPa Radionuclide by A. Khruschinski, S. Kutsen, A. Zhukouski, Naoyuki Sugai, Hiroshi Sugai, Michinori Mogi

“…This method makes it possible to determine the content of 238U in a continuous homogeneous medium while presence of natural radionuclides in it.The algorithm for determining of 238U content includes several main steps. …”
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Polynomial eigenvalue decomposition for eigenvalues with unmajorised ground truth – Reconstructing analytic dinosaurs by Sebastian J. Schlecht, Stephan Weiss

“…Utilising an inverse partial DFT and a linear assignment algorithm, the proposed EigenBone method retrieves analytic eigenvalues efficiently and accurately. …”
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Combinatorial machine learning approaches for high-rise building cost prediction and their interpretability analysis by Zenghui Liu, Jing Lin

“…Results show that the BP-SVM combination algorithm significantly reduces Mean Absolute Error (MAE) compared to other models. …”
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Benchmarking Variants of the Adam Optimizer for Quantum Machine Learning Applications by Tuan Hai Vu, Vu Trung Duong Le, Hoai Luan Pham, Yasuhiko Nakashima

“…However, to the best of our knowledge, currently there is no related work investigating these optimizers on multiple algorithms, which may lead to the selection of suboptimal optimizers. …”
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Bayesian Inference for Zero-Modified Power Series Regression Models by Katiane S. Conceição, Marinho G. Andrade, Victor Hugo Lachos, Nalini Ravishanker

“…Count data often exhibit discrepancies in the frequencies of zeros, which commonly occur across various application domains. These data may include excess zeros (zero inflation) or, less frequently, a scarcity of zeros (zero deflation). …”
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An enhanced approach for automatic annotation of error codes based on Seq2edit by Jian Wang, Tao Lin, Rongsen Zhao, Huiling Zhao

“…However, the accuracy of the annotation is affected because tokens in the input code from the same statement may be aligned to different statements. This article proposes a Seq2edit annotation method based on the source code’s sentence structure. …”
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Challenges and Opportunities for Applying Meta-Heuristic Methods in Vehicle Routing Problems: A Review by Wayan Firdaus Mahmudy, Agus Wahyu Widodo, Alfabiet Husien Haikal

“…A review of popular meta-heuristic methods is presented, including Simulated Annealing, Genetic Algorithm, Particle Swarm Optimization, and Ant Colony Optimization. …”
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Differential Diagnosis of Jejunum and Ileum Tumours Based on Video Capsule Endoscopy Data Using Mathematical Analysis by E. D. Fedorov, E. V. Ivanova, S. E. Rauzina, D. E. Seleznev, A. V. Budykina

“…The developed diagnostic algorithm can support decision making by the clinician within the task of differentiating jejunum or ileum tumour lesions into three main types: benign epithelial tumours, benign non-epithelial tumours and malignant tumours. …”
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PRICING AT FOOD SERVICE ESTABLISHMENT UNDER THE CONDITIONS OF THE REGION by Scherbakova T.A., Krapiva T.V., Novoselov S.V., Mayurnikova L.A.

“…Basing on the analysis of the methods the algorithm of prices determination for FE products and goods purchased for FE under regional conditions is offered. …”
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Coordination in strictly metric-free swarms: evidence for the existence of biological diversity by Y. N. Jia, Y. Guo, W. L. Zhang

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Computer-aided diagnosis of Haematologic disorders detection based on spatial feature learning networks using blood cell images by Jamal Alsamri, Hamed Alqahtani, Ali M. Al-Sharafi, Abdulbasit A. Darem, Khalid Nazim, Abdul Sattar, Menwa Alshammeri, Ahmad A. Alzahrani, Marwa Obayya

“…Finally, the CADHDD-SFLNHM model implements the pelican optimization algorithm (POA) method to fine-tune the hyperparameters involved in the CNN-BiGRU-A method. …”
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Classification and Recognition Method for Bearing Fault based on IFOA-SVM by Wei Zhang, Zhihua Ma

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Enhancing Privacy in IoT Networks: A Comparative Analysis of Classification and Defense Methods by Ahmet Emre Ergun, Ozgu Can, Murat Kantarcioglu

“…As a defense mechanism, DP is applied using the Fourier Perturbation Algorithm (FPA) to optimize padding strategies while maintaining network efficiency. …”
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Financial Market Evaluation Utilizing an Optimized Deep-Learning Model: A Case Study of the Nikkei 225 by Karthikeyan M P

“…As perilous as investment in the stock market may be, there is a possibility of its reaping huge profits in the long term. …”
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