Quasi-Static Investigations of 240-Bloom Gelatine for Ballistic Tests by Bartosz FIKUS, Norbert BASIŃSKI

“…Tests were carried out making use of a material testing machine to estimate the influence of gel share on stress-strain characteristics. …”
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Timing data visualization: tactical intent recognition and portable framework by SONG Yafei, LI Lemin, QUAN Wen, NI Peng, WANG Ke

“…Experimental results demonstrate that the proposed framework achieves over 0.99% higher accuracy compared to machine learning and deep learning methods, exhibiting superior performance, scalability, robustness, and transferability.…”
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Pengembangan Model Economic Production Quantity (EPQ) dengan Sinkronisasi Demand Kontinu dan Diskrit Secara Simultan by Nurike Oktavia, Henmaidi, Jonrinaldi

“…It shows enterprise how to minimize total production cost by reducing inventory cost. But, three main parameters in EPQ which are demand, machine set up cost, and holding cost, are not suitable to solve issues nowadays. …”
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Timing data visualization: tactical intent recognition and portable framework by SONG Yafei, LI Lemin, QUAN Wen, NI Peng, WANG Ke

“…Experimental results demonstrate that the proposed framework achieves over 0.99% higher accuracy compared to machine learning and deep learning methods, exhibiting superior performance, scalability, robustness, and transferability.…”
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Dynamic High Strain Rate Plastic Constitutive Model of Q355GNHD High Weathering Steel by Zhilong ZHANG, Heting XIAO, Wei ZHOU

“…Then, the strain rate related Johnson-Cook hardening model was constructed and the constitutive parameters were determined. Finally, the correctness of the model was verified by ABAQUS platform.…”
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Structural design and obstacle-crossing performance analysis of hexapod reconnaissance robots by XU Haoyang, CAO Le, ZHANG Sihe

“…ObjectiveIn order to improve the passing ability and stability of unmanned reconnaissance robots in complex terrain environments, a six-legged reconnaissance machine motion platform suitable for unstructured environments was designed.MethodsIn view of the high load-bearing and high flexibility requirements of the robot, a collaborative design method of flexibility and passing ability was proposed. …”
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NONLINEAR PROGRESSIVE INCOME TAXATION AND INEQUALITIES IN INCOME AND WEALTH BETWEEN HETEROGENEOUS HOUSEHOLDS by Wei-Bin ZHANG

“…We conduct comparative dynamic analysis in different parameters.…”
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Research progress on influencing factors for the filter lifespan in patients treated with continuous renal replacement therapy by Li Tian, Wu Yang, Xi Chun-sheng

“…These studies analyzed personal factors， anticoagulant types， catheter factors， CRRT parameters and machine factors. In the present study， we aim to summarize the above factors that affect the filter lifespan of CRRT patients， in order to provide a reference for clinical practice， optimize the process of CRRT， and improve the treatment effect and quality of lifespan.…”
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宽闭锁系数多片式差速摩擦副研究 by 宁克焱, 韩明, 兰海

“…The present situation of differential technology is introduced,and the process and main outcome of the wide locked coefficient multi-piece differential friction pair research are expatiated.With the differential friction-sliding mathematic model to 4×4 vehicle is found,the research on the complicated work condition to friction pair of differential mechanism locked friction is completed,and typical work condition of high performance vehicle differential friction and sliding is obtained.Based on the use and design require,the friction and abrasion characteristic parameters,as well as the testing method are defined.With the test under two kinds of lubricate condition,the friction and abrasion characteristics of many differential friction pair（includes 3 kinds of material and 11 test piece） are researched,the friction pair structure design,friction material research and lectotype direction,the load-add scheme strategy of the automatic friction differential are obtained,a friction pair theory model machine whose locked coefficient can be controlled between 0.1and 1.0 is formed.The technique foundation for achieving high performance vehicle differential is settled through the research.…”
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Identification of crop and weed in seedling stage based on multi-spectral images by ZHU Deng-sheng, SHAO Yong-ni, PAN Jia-zhi, HE Yong

“…As machine vision owns many merits, 3CCD multi-spectral camera was used to capture pictures of soybean and two common weeds (Alternanthera philoxeroides and Eleusine indica). …”
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A RESEARCH ON LOAD SPECTRUM STATISTICAL ANALYSIS OF T100C TRAIN BOGIE BASED ON KERNEL DENSITY ESTIMATION ALGORITHM by GAO YanJie, YANG YongFa, CHEN Jiong, YANG CanYu

“…It is also difficult to fit Weibull parameters. More importantly,the final results are not necessarily reflect the real characteristic of a sample due to the assuming of load distribution beforehand. …”
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Synthesis and Investigation of Algorithm for Estimation of Active Stator Resistance of Asynchronous Motor with Fixed Rotor by D. S. Odnolko

“…The identification test assumes a fixed rotor and nominal parameters uncertainty, but the flexible structure of the algorithm allows to use it as  for single-phase excitation so for full-phase control of the induction motor with freely rotating motor.…”
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Models, systems, networks in economics, engineering, nature and society by D.V. Mirosh

“…The use of the developed neural networks allows to improve diagnostic studies for asynchronous machines of various capacities, easily adapt them to different dimensional designs, improve the quality of diagnostic services provided and reduce the labor costs of diagnostic specialists in the study of the parameters of the state of an electric machine.…”

Entanglement-induced provable and robust quantum learning advantages by Haimeng Zhao, Dong-Ling Deng

“…Abstract Quantum computing holds unparalleled potentials to enhance machine learning. However, a demonstration of quantum learning advantage has not been achieved so far. …”
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Computational Intelligence of Numerical Dynamics of Nanofluidic Model by Tahir Nawaz Cheema, Ali Raza, Maysaa Elmahi Abd Elwahab, Ayesha Shabbir, Sharafat Ali, Emad Fadhal

“…The ANNs are trained to approximate the solutions of the nonlinear system, with particular attention given to the physical relevance of parameters, notably the “⅄” governing nanofluid movement. …”
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An efficient spectrum sensing of mixed kernel SVM based on sampling covariance matrix by Jianyuan NIE, Jianrong BAO, Bin JIANG, Chao LIU, Fang ZHU, Jianhai HE

“…In recent years,with the blind detection algorithms were proposed,more and more blind algorithms based on sampling covariance matrix were applied to spectrum sensing.The detection threshold was an approximation,and the detection performance would be affected for this algorithms.Thus,the mixed kernel function support vector machine (SVM) efficient spectrum sensing based on sampling covariance matrix was proposed.The statistics which were maximum minimum eigenvalue (MME) and covariance absolute value (CAV) of sensing signal sampling covariance matrices were used as the feature vectors of SVM and were trained to generate a spectrum sensing classifier.The advantage of this algorithm was that it needn’t calculate the detection threshold and the extraction of features reduces size of the sample set.The genetic algorithm (GA) was used to optimize the parameters of mixed kernel function SVM algorithm.The experimental results show that the proposed method has higher detection probability than MME and CAV algorithms,and has less sensing time than SVM,which has good practicability.…”
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Design of an evolutionary model for international trade settlement based on genetic algorithm and fuzzy neural network. by Jiaqing Huang, Yang Liu, Miaomiao Tu, Osama Sohaib

“…The GA is used to fine-tune the structure, membership functions, and parameters of the FNN to improve predictive performance. …”
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Estimation of vibration attenuation coefficient of wheel sets on electric locomotive underframe by Sergey F. Podust

“…This is especially important at the machine designing stage. Therefore, the results of the experimental study of the given value and the development of the regressional dependences for various motion speeds on this basis are presented.…”
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Finite Element Simulation and Optimization of Reaming Process by YUE Caixu, HU Desheng, ZHANG Anshan, LIU Xianli, LIU Zhibo, CHEN Zhitao

“…In the engine valve guide machining process, the geometric parameters of the welded reamer have a significant effect on the cutting force, cutting temperature, tool damage, etc. during the reaming process. …”
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VGGBM-Net: A Novel Pixel-Based Transfer Features Engineering for Automated Coffee Bean Diseases Classification by Muhammad Shadab Alam Hashmi, Azam Mehmood Qadri, Ali Raza, Saleem Ullah, Aseel Smerat, Changgyun Kim, Muhammad Syafrudin, Norma Latif Fitriyani

“…These enhanced features are then used as inputs for advanced machine-learning algorithms. Unlike traditional models, this feature extraction enhances classification accuracy and robustness. …”
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