DESIGN AND STRESS ANALYSIS OF RX-122 ROCKET MOTOR TUBE USING NUMERICAL METHOD by Lasinta Ari Nendra Wibawa, Iyus Rusyana, Dinar Koswara, Gagan Nugraha, Diyat Muhdiyat, Dedi Irawan

“…The objective of this research is to identify a rocket motor tube design that offers both safety and minimal weight. A total of 12 different design configurations for the rocket motor tube are examined using numerical methods assisted by Ansys software. …”
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Vision-Based Grasping Method for Prosthetic Hands via Geometry and Symmetry Axis Recognition by Yi Zhang, Yanwei Xie, Qian Zhao, Xiaolei Xu, Hua Deng, Nianen Yi

“…The SIFT algorithm is applied to extract the object’s symmetry axis, thereby determining the optimal grasp point and initial hand posture. An experimental platform is built based on a seven-degree-of-freedom (7-DoF) robotic arm and a multi-mode prosthetic hand to conduct grasping experiments on objects with different characteristics. …”
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Transfer learning based EfficientNet method for transmission line insulator flaw detection by Aleena Swetapadma, Anamika Yadav

“…The average precision of the method has been increased if compared with the traditional methods of insulator flaw detection. …”
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NEW ORGANIZATION PROCESS OF FEATURE SELECTION BY FILTER WITH CORRELATION-BASED FEATURES SELECTION METHOD by Olga Solovei

“…In this paper the focus is put on a Filter technique when it uses Correlation-based Feature Selection (further CFS) with symmetrical uncertainty method (further CFS-SU) or CFS with Pearson Correlation (further CFS-PearCorr). …”
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A method for urban high-voltage distribution network partitioning and energy storage planning by LIU Zhengmao, ZHU Sicheng, HUANG Zhongliang, JIANG Jianjie, ZHU Yitao, ZHANG Youbing, PAN Hongwu

“…To address this issue， a method for urban high-voltage distribution network partitioning and energy storage planning is proposed. …”
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A Crash Severity Prediction Method Based on Improved Neural Network and Factor Analysis by Chen Zhang, Jie He, Yinhai Wang, Xintong Yan, Changjian Zhang, Yikai Chen, Ziyang Liu, Bojian Zhou

“…Data from I5, an interstate highway in the Washington State during the period of 2011–2015, were used for fitting and prediction, and after setting the theoretical three-layer neural network (NN), an improved Particle Swarm Optimization (PSO) method with adaptive inertial weight was offered to optimize the NN, and finally, a comparison among different adaptive strategies was conducted. …”
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THE DEVELOPMENT OF METHOD FOR MINT AND TURMERIC ESSENTIAL OILS IDENTIFICATION AND QUANTITATIVE ANALYSIS IN COMPLEX DRUG by O. G. Smalyuh

“…The aim of our study was to develop the method for identification and assay of essential oils of mint and turmeric in complex medicinal product in capsule form. …”
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Electroencephalogram Based Emotion Recognition Using Hybrid Intelligent Method and Discrete Wavelet Transform by Duy Nguyen, Minh Tuan Nguyen, Kou Yamada

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Joint Classification of Hyperspectral and LiDAR Data via Multiprobability Decision Fusion Method by Tao Chen, Sizuo Chen, Luying Chen, Huayue Chen, Bochuan Zheng, Wu Deng

“…Finally, the four CPMs are fused via a multiprobability decision fusion method to obtain the optimal classification results. …”
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Real-Time Estimation Method of P-Wave Slowness Based on Kalman Filtering and STC by SUN Hao, CHEN Wenhui, SUN Xuekai, YU Weidong, LI Siyi, ZHAO Peng

“…The real-time extraction of acoustic interval time is of significant importance for rapidly evaluating reservoir quality and timely optimizing exploration and development decisions. By analyzing the variation characteristics of acoustic wave propagation speeds in different rock formations, the physical properties and structural features of subsurface strata can be effectively inferred. …”
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Research on efficient numerical method of air flow and heat transfer in a refrigerated truck by Shiming Liu, Qi Deng, Yingsun Sun, Puxian Ding

“…The research aims to compare the accuracy and efficiency of the BSL k-ω and the SST k-ω models, establish an optimal numerical method for reliable simulations, and evaluate the computational benefits of NITA over traditional ITA schemes. …”
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Factors influencing the effectiveness of SM-VCE method in solving 3D surface deformation by Xupeng Liu, Guangyu Xu, Mingkai Chen, Tengxu Zhang

“…As of now, there are two main types of methods for recovering coseismic 3D surface deformations: the first type is to solve the problem directly by using the least squares method based on observations from three or more viewpoints, and the second type solves the problem by combining ascending and descending InSAR line-of-sight (LOS) observations with constraint models. …”
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Anhydrous microwave synthesis as efficient method for obtaining model advanced glycation end-products by Agnieszka Bronowicka-Szydełko, Katarzyna Madziarska, Aleksandra Kuzan, Łukasz Lewandowski, Joanna Adamiec-Mroczek, Jadwiga Pietkiewicz, Maciej Tota, Maciej Ziomek, Wojciech Stach, Tymoteusz Trocha, Marcin Piersiak, Maciej Pachana, Zuzanna Galińska, Andrzej Korpacki, Olgierd Dróżdż, Janusz Matuszyk, Małgorzata Mitkiewicz, Andrzej Gamian, Kinga Gostomska-Pampuch

“…This study investigates the synthesis of medium crosslinked AGEs (the most optimal form of AGEs because of soluble in water, used in many assays as markers) and their biochemical properties.MethodsOne of model protein–myoglobin from horse heart muscle (MB) and a chosen respective glycation factor – D-melibiose (mel), acrolein (ACR), D-glucose (glc), 4-hydroksynonenal (4HNE), trans-2-nonenal (T2N), methylglyoxal (MGO) – were subjected to high temperature water synthesis (HTWS) and high temperature microwave synthesis in anhydrous conditions (HTMS). …”
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Enhanced Driver Posture Feature Extraction Method Based on the Spatial Prior Probabilistic Model by WANG Han; SUN Yu; YIN Jie

“…Moreover, the average recognition rate under the combination of neural network and proposed method is 12% higher than other traditional methods.…”
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Precise phenotyping method using image data for carcass marbling score in Hanwoo cattle. by Wang Yeol Lee, Phuong Thanh N Dinh, Yoonji Chung, Hyo-Jun Lee, Yeong Jun Koh, Hyun Joo Kim, Shil Jin, Jaeho Lee, Jun Heon Lee, Ki Yong Chung, Seung Hwan Lee, Hyung-Yong Kim

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Fault Signal Recognition Method of Submarine Cable based on Energy Entropy and GWO-ELM by ZHANG Tao, LIU Hao, ZHANG Peilei, LIU Zheheng, SHI Guangrui, FAN Xiping

“…【Methods】Firstly, the finite element simulation software is used to simulate the vibration velocity signals of submarine cable optical unit under different working conditions. …”
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The Efficiency of Membrane Curing Method in Hydration Temperature, Compressive Strength, and Curing Cost of Concrete by Hossein Bakhshi, Ali Kooshkaki, Mohammad Hashem Dolatabadi, Zaher Rezaie, Pouyan Fakharian

“…The purpose of this study is to determine the optimal environmental conditions for the use of the membrane curing method, as well as the economic viability of the method. …”
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A Novel Method for Solving Multiobjective Linear Programming Problems with Triangular Neutrosophic Numbers by Qing Wang, Yi Huang, Shiming Kong, Xinqiang Ma, Youyuan Liu, S. K. Das, S. A. Edalatpanah

“…So, we propose a method for solving NMOLP problem with the help of linear membership function. …”
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Robust pose estimation for non-cooperative space objects based on multichannel matching method by Zhaoxiang Zhang, Yuelei Xu, Jianing Song

“…Extensive experimental results indicate that the proposed method demonstrates robust performance across various challenging conditions, including different object types, diverse illumination scenarios, varying rotation rates, and different image resolutions. …”
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Multi task detection method for operating status of belt conveyor based on DR-YOLOM by Yongan LI, Tengjie CHEN, Hongwei WANG, Zhihao ZHANG

“…Secondly, as the model requires target recognition and segmentation of different types of tasks, an efficient layer aggregation network (RepGFPN) with skip layer connection structure is adopted to optimize the feature fusion part, greatly improving the detection accuracy of the model for different detection tasks while controlling the number of model parameters and inference speed; Finally, to address the detection tasks of three different label shapes, the Inner CIOU loss function is introduced to compensate for the weak generalization ability of the CIoU loss function in different detection tasks. …”
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