Selected methods of pathological speech signal analysis by W. WSZOŁEK

“…Selected results of examinations, having been performed by the author for several years, concerning the evaluation of selected methods of transforming signal in analysis tasks and pathological speech evaluation usability were presented in the article. …”
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Theoretical and Numerical Analyses of a Quasi-Isotropic Antenna With Almost Everywhere Isotropy by Yong Heui Cho, Jae-Yong Kwon

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Initialization Methods for FPGA-Based EMT Simulations by Xin Ma, Xiao-Ping Zhang

“…To accelerate initialization, software-to-hardware algorithm and structure are developed to automate initialization data sources for different topologies. Case study shows Method 2–4 can both initialize successfully on FPGA platform, while Method 4 achieves the best timing and routing performance. …”
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Drilling Condition Identification Method for Imbalanced Datasets by Yibing Yu, Huilin Yang, Fengjia Peng, Xi Wang

“…To address the challenges posed by class imbalance and temporal dependency in drilling condition data and enhance the accuracy of condition identification, this study proposes an integrated method combining feature engineering, data resampling, and deep learning model optimization. …”
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Investigation of CO2 and H2O Addition to Natural Gas for Production of Synthesis Gas

“…In this work, a novel application of the direct search and Newton-Raphson methods was introduced to apply to optimization of a complex chemical reaction. …”
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Software diversification method based on binary rewriting by Benwei HE, Yunfei GUO, Yawen WANG, Qingfeng WANG, Hongchao HU

“…Software diversity is an effective defense against code-reuse attacks, but most existing software diversification technologies are based on source code.Obtaining program source code may be difficult, while binary files are challenging to disassemble accurately and distinguish between code pointers and data constants.This makes binary file diversification difficult to generate high levels of randomization entropy, and easily compromised by attackers.To overcome these challenges, a binary file oriented software diversification method was proposed based on static binary rewriting technology, namely instruction offset randomization.This method inserted NOP instructions of varying byte lengths before program instructions with a certain probability, reducing the number of unintended gadgets in the program and randomly offsetting the original instruction address.This disrupts the program’s original memory layout and increases the cost of code-reuse attacks.At the same time, an optimization strategy based on hot code was designed for this method.The execution times of basic blocks in binary files were obtained by dynamic pile insertion, so as to adjust the NOP instruction insertion probability in each basic block.The higher the execution frequency, the fewer NOP instructions were inserted into the basic block, which can ensure lower performance overhead and produce higher randomization entropy.In the experimental part, the SPEC benchmark program was used to test the optimized method from the aspects of performance overhead, gadget survival rate and file size.The results show that a 15% insertion probability achieves the best effect, with an average gadget survival rate of less than 1.49%, increasing attackers’ difficulty in reusing the same gadget attack chain.Furthermore, only a 4.1% operation overhead and 7.7% space overhead are added, maintaining high levels of security.…”
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Biological markers as an additional method of determining drowning by Emina Dervišević, Nina Čamdžić, Ermin Mašić, Muhamed Katica, Nedim Šuta, Edina Spahić, Edina Lazović, Aida Bešić

“…Microscopic analysis did not detect diatoms in the kidneys and brains of rats, while the pathohistological changes were relatively uniform. …”
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Regression analysis and artificial neural networks for predicting pine species volume in community forests by Wenceslao Santiago-García

“…The quantitative variables were diameter at breast height and total tree height, while the qualitative variables were species (P. patula and P. pseudostrobus) and volume type (whole-tree volume and stem volume), both coded as 1 and 0, respectively. …”
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Adoption of the Creative Process According to the Immersive Method by Sonja Vuk, Tonka Tacol, Janez Vogrinc

“…This is a state leading to the sublimative effect of creation (identification with what has been expressed), as well as to self-actualisation. The immersive method teaches one to connect the context, social relations and the artwork as a whole in which  one lives as an individual. …”
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Optimization design of unloading mechanism for intelligent cleaning robots based on Adams by LIN Xinqiang

“…ObjectiveIn order to achieve the capability of whole process unmanned operation of the Robo-Sweep intelligent cleaning robot, it is necessary to develop a set of unloading mechanisms that meet various needs.MethodsFirstly, according to the overall design scheme of the whole machine, the preliminary design of the unloading mechanism was carried out through the graphical method. …”
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Intelligent controller design of an autonomous system using a social spider optimizer for path navigation and obstacle avoidance by Naimul Hasan, Huma Khan, Shahida Khatoon, Mohammad Sajid

“…The Social Spider Optimizer algorithm optimizes the parameters of the fuzzy controller, while the FLC is responsible for obstacle avoidance. …”
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An informativeness score for optimal mixed datasets using Gaussian process regression by Cameron J LaMack, Eric M Schearer

“…In this study, we present a method for calculating an optimally informative dataset for numerous subsystem models. …”
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Balance Optimization of Energy Consumption and Running Time for Urban Metro Trains by WU Xiao-gang, CHEN Yu, GUO Hao-qi, DU Jiu-yu

“…The linear weighting method is used to quantitatively calculate the optimal cruise speed condition corresponding to the energy consumption and running time of the whole MT, and the energy saving potential of the MT is analyzed from a quantitative perspective to provide reference for the energy saving and efficient operation of the MTs. …”
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Optimization of the Extraction Conditions and Evaluation of Bioactivities of the Phenolic Enrichment From Pandanus amaryllifolius Leaves by Do Hoang Giang, Bui Thi Nhat Le, Nguyen Thi Thu Minh, Nguyen Thi Thu Thuy, Nguyen Hai Dang, Hoang Le Tuan Anh, Nguyen Ngoc Tung, Nguyen Tien Dat

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Coupled Design and Operation Optimization for Decarbonization of Industrial Energy Systems Using an Open-Source In-House Tool by Rushit Kansara, María Isabel Roldán Serrano

“…The methodology encompasses the optimized integration of various energy technologies, such as renewable energy technologies, energy storage, and power-to-heat technologies while considering changing operational conditions and variable energy demand and supply. …”
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Testing an optimally weighted combination of common and/or rare variants with multiple traits. by Zhenchuan Wang, Qiuying Sha, Shurong Fang, Kui Zhang, Shuanglin Zhang

“…In this article, we developed a statistical method by testing an optimally weighted combination of variants with multiple traits (TOWmuT) to test the association between multiple traits and a weighted combination of variants (rare and/or common) in a genomic region. …”
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Bone scintigraphy based on deep learning model and modified growth optimizer by Omnia Magdy, Mohamed Abd Elaziz, Abdelghani Dahou, Ahmed A. Ewees, Ahmed Elgarayhi, Mohammed Sallah

“…Abstract Bone scintigraphy is recognized as an efficient diagnostic method for whole-body screening for bone metastases. …”
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Fourier Analysis of CMFD Method in Cylindrical Geometry by WEN Yuchen, HAO Chen, WANG Yizhen

“…To address this instability, an optical diffusion CMFD method (odCMFD) strategy was implemented to optimize the original CMFD formulation based on cylindrical geometry. …”

Computational Optimization of the Radial and Spiral Distortion Aberration Coefficients of Magnetic Deflector by Baghdad Science Journal

“…Abstract:The optimum design of the magnetic deflector with the lowest values of the radial and spiral distortion aberration coefficients was computed. The optimized calculations were made using three models, Glaser bell-shaped, Grivet-lenz and exponential models. …”
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Modeling and Evolutionary Optimization on Multilevel Production Scheduling: A Case Study by Ruifeng Shi, Chunxia Shangguan, Hong Zhou

“…Experimental simulation results show that our proposed modeling and optimization method has outperformed the other ones.…”
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