A PRISMA systematic review through time on predictive musculoskeletal simulations by Menthy Denayer, Eligia Alfio, María Alejandra Díaz, Massimo Sartori, Friedl De Groote, Kevin De Pauw, Tom Verstraten

“…The second uses optimization, to make up for the lack of a neural model, like optimal control and deep reinforcement learning. …”
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Practical and cost-effective method for the isolation of pollen grains from various sources by Ozge S. Kuddar, Benjamin J. Callahan, Christopher Bernhardt, Kelly A. Meiklejohn

“…Mock standards, with known concentrations and varied characteristics, when analyzed alongside unknown samples, can provide evaluation, optimization, and validation of scientific methods. Due to the scarcity of commercially available pollen grains, this study introduces a practical and cost-effective method for isolating pollen grains from various sources to be used in a mock pollen standard. …”
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A Comparison of the Artificial Neural Network with Classical Methods in Corporate Credit Scoring by Şahap Kavcıoğlu

“…The result of the study indicated that artificial neural networks which have higher success than logistic regression on the development sample, saw lower success on the out of sample data. Thus, while artificial neural networks show higher performance, it is concluded that logistic regression provides more consistent results, and it is thought that artificial neural networks can produce more consistent results by optimization of the iteration processes.…”
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Research on aerodynamic characteristics and control method of rigid-flexible variable camber wing by Tao Xin, Bin Li

“…In the wing configuration design, the optimal lift-to-drag ratio is used as the optimization objective, and the wing section mean line is parameterized to obtain the optimal rigid-flexible hybrid deformation configuration. …”
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Electricity pinch analysis method for flexibility supply-demand matching in power systems by Yaling Mao, Tiejiang Yuan, Xueqin Tian, Yue Teng

“…Leveraging the theoretical framework of pinch technology from process engineering, this paper proposes an Electricity Pinch Analysis (EPA) method for flexibility assessment. First, the net-load profile is decomposed by successive variational mode decomposition (SVMD) optimized with the Red-billed Blue Magpie Optimization (RBMO) algorithm to construct a flexibility demand model. …”
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A Fish-Counting Method Using Fusion of Spatial Sensing and Temporal Information by Zhaozhi Wu, Xinze Zheng, Yi Zhu, Longhao Wu, Congcong Li, Qiang Tu, Fei Yuan

“…Acoustic methods, known for their low energy consumption and extensive detection range, are widely utilized for underwater fish counting. …”
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A Wavelet Decomposition Method for Estimating Soybean Seed Composition with Hyperspectral Data by Aviskar Giri, Vasit Sagan, Haireti Alifu, Abuduwanli Maiwulanjiang, Supria Sarkar, Bishal Roy, Felix B. Fritschi

“…Accurate and efficient methods for predicting seed composition are essential for optimizing crop management and breeding strategies. …”
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Fatigue and stamina prediction of athletic person on track using thermal facial biomarkers and optimized machine learning algorithm by P. K. Santhosh, B. Kaarthick

“…The complex background and improper environmental lighting conditions affects the identification of athlete’s facial expressions while playing. Existing methods use RGB and traditional night vision cameras for detecting athlete’s facial expressions that operates only in minimum lighting condition. …”
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Damage prediction of rear plate in Whipple shields based on machine learning method by Chenyang Wu, Xiangbiao Liao, Lvtan Chen, Xiaowei Chen

“…In this study, a machine learning (ML) method is developed to predict the damage distribution in the rear plate. …”
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Multistage Early Warning of Sodium-Ion Battery Thermal Runaway Using Multidimensional Signal Analysis and Redundancy Optimization by Jinzhong Li, Yuguang Xie, Bin Xu, Jiarui Zhang, Xinyu Wang, Lei Mao

“…This paper proposes an early warning method for thermal runaway in sodium-ion batteries (SIBs) based on multidimensional signal analysis and redundancy optimization. …”
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Time-Optimal Model Predictive Control for Linear Time-Variant Systems Based on Configuration-Constrained Backward Reachability by Michael Fink, Annalena Daniels, Dirk Wollherr, Marion Leibold

“…This paper presents a robust formulation of Time-Optimal Model Predictive Control for Linear Time-Variant systems that leverages backward reachability analysis for time-optimality while achieving constraint handling and disturbance rejection. …”
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Dynamic Relationship between the Iranian Stock Market and Commodity Markets: A TVP-VAR Approach and Portfolio Optimization by Hadi Esmaeilpour, Emad Sharifbagheri

“…By utilizing pairwise connectedness indices, an optimal asset portfolio is constructed using the minimum connectedness approach (MCoP) and subsequently compared with traditional methods such as the Minimum Variance Portfolio (MVP) and the Minimum Correlation Portfolio (MCP). …”
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U-ActionNet: Dual-Pathway Fourier Networks With Region-of-Interest Module for Efficient Action Recognition in UAV Surveillance by Abdul Monaf Chowdhury, Ahsan Imran, Md Mehedi Hasan, Riad Ahmed, Akm Azad, Salem A. Alyami

“…Meanwhile, the second pathway employs edge-optimized models, integrating ROI extraction-based frame sampling technique to eliminate static frames while preserving pivotal frames essential for model training. …”
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Optimization Algorithm of Adaptive Dual-layer Search Path Planning Based on Left-hand Traffic Rules in Mines by HUANG Jiade, LIU Yong, HU Yunqing, MEI Wenqing

“…Further optimization through the gradient descent method enables the efficient generation of safe and smooth paths. …”
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Structural-and-Parametric Optimization of Automatic Control System for Power Units of 300 MW in Wide Range of Load Variations by K. I. Artsiomenka

“…This can be achieved with the help of the method of parametric optimization of the typical ACSPU proposed in the present paper. …”
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Results of expert evaluation of problems of organization of ambulatory-polyclinic assistance by E. A. Finchenko, I. V. Sharapov, O. I. Ivaninskiy, M. A. Sadovoj, L. S. Shalygina

“…An important role in health care management was taken by the service of managing the volume of medical care for this population group and the progressive development of the opportunities of the district doctor and GP for most of the population which requires only general medical assistance while maintaining all the possibilities for the consultant to get this patient’s advice.Materials and methods. …”
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Robust Time-Optimal Kinematic Control of Robotic Manipulators Based on Recurrent Neural Network Against Harmonic Noises by Yiqun Kuang, Shuai Li, Zhan Li

“…We provide a thorough theoretical analysis of the RNN-based control solver, establishing its convergence and optimality. Importantly, our method maximizes end-effector speed without violating any joint velocity limits, thereby enhancing the path-tracking speed compared to previous schemes. …”
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Bayesian optimization of biodegradable polymers via machine learning driven features from low-field NMR data by Ryo Fujita, Yoshifumi Amamoto, Jun Kikuchi

“…This study proposes a method for optimizing polymer process conditions using CNN-based features extracted from relaxation curves. …”
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Optimization of quenching process parameters for 18Cr2Ni4WA steel spiral bevel gears by FENG Ruibo, XU Hongyu, ZHANG Fengshou, LI Li

“…ObjectiveTo investigate the influence of quenching process parameters (quenching temperature, time, oil temperature) on the deformation and hardness of 18Cr2Ni4WA steel spiral bevel gears during heat treatment, and to determine the optimal combination of quenching process parameters within the range.MethodsOrthogonal tests were designed to simulate gear heat treatment using Deform software. …”
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A Comparative Study on Current- and Voltage-Optimized Circuit Scheme for Multiple-Transmitter and Single-Receiver WPT System by Jin Zhang, Weiao Xu, Dong Chen, Chen Zhang

“…While voltage-optimized circuit scheme can effectively adjust the source voltages and feeding currents and maintain the same level of input power and PDL as a current-optimized solution. …”
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