A general two-group constants estimator for 17x17 PWR assembly configurations using artificial neural networks by Gökhan Pediz, M. Alim Kırışık

“…In this study, a preliminary general two-group constants predictor using artificial neural networks (ANNs) for pressurized water reactor (PWR) based assembly designs is established. …”
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Novel Method for Approximating Fixed Point of Generalized <i>α</i>-Nonexpansive Mappings with Applications to Dynamics of a HIV Model by Godwin Amechi Okeke, Akanimo Victor Udo, Rubayyi T. Alqahtani

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Screening results correlating to personality disorder traits in a new employee population of People&amp;#39;s Republic of China by Tan Y, Liu Y, Wu L

“…Yan Tan,1,* Yan Liu,2,* Lei Wu3 1Editorial Department, Academic Journal of Chinese People&amp;rsquo;s Liberation Army Medical School, Chinese People&amp;rsquo;s Liberation Army General Hospital, 2Department of Clinical Psychology, Beijing Huilongguan Hospital, 3Department of Epidemiology, Institute of Geriatrics, Chinese People&amp;rsquo;s Liberation Army General Hospital, Beijing, People&amp;rsquo;s Republic of China *These authors contributed equally to this work Background: Adaptation to a new environment may have an uncertain influence on young employees, whose values are still being formed during early adulthood. …”
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Cable External Breakage Source Localization Method Based on Improved Generalized Cross-Correlation Phase Transform with Multi-Sensor Fusion by Xuwen Wang, Jiang Li

“…In response to the need for cable outer sound source localization, this paper proposes a collaborative localization method based on an improved generalized cross-correlation phase transform (GCC-PHAT) and multi-sensor fusion. …”
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Geodesic B-Preinvex Functions and Multiobjective Optimization Problems on Riemannian Manifolds by Sheng-lan Chen, Nan-Jing Huang, Donal O'Regan

“…Moreover, we study a differentiable multiobjective optimization problem involving new classes of generalized geodesic B-invex functions and derive Kuhn-Tucker-type sufficient conditions for a feasible point to be an efficient or properly efficient solution. …”
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Lower Convergence of Minimal Sets in Star-Shaped Vector Optimization Problems by Rong Hu

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Two-stage optimization based on heterogeneous branch fusion for knowledge distillation. by Gang Li, Pengfei Lv, Yang Zhang, Chuanyun Xu, Zihan Ruan, Zheng Zhou, Xinyu Fan, Ru Wang, Pan He

“…However, relying solely on the fixed knowledge of the teacher model for guidance lacks the supplementation and expansion of knowledge, which limits the generalization ability of the student model. Therefore, this paper proposes two-stage optimization based on heterogeneous branch fusion for knowledge distillation (THFKD), which provides appropriate knowledge to the student model in different stages through a two-stage optimization strategy. …”
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Refining coarse-grained molecular topologies: a Bayesian optimization approach by Pranoy Ray, Adam P. Generale, Nikhith Vankireddy, Yuichiro Asoma, Masataka Nakauchi, Haein Lee, Katsuhisa Yoshida, Yoshishige Okuno, Surya R. Kalidindi

“…The resulting optimized CG potential accommodates any degree of polymerization, offering accuracy comparable to AA simulations while retaining the computational speed of CGMD. …”
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DETERMINATION OF OPTIMAL TRAJECTORIES UNDER TREATMENT WITH ACCOUNT FOR CUTTING PROCESS DEVELOPMENT by Vilor Lavrentyevich Zakovorotny, Victor Petrovich Lapshin, Alexandra Anatolyevna Gubanova

“…A concrete example for the case of deep pinhole machining (diameter — 2.15 mm, hole depth — 140 mm) is given. The obtained results are generalized in the case when problems on any evolutionary system control machining are solved.…”
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Performance optimization method of GFDM system based on WFRFT spectral precoding by Zhenduo WANG, Zhaohui WANG, Ruoyu ZHANG

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Application of Multi-Objective Control in Power and Load Optimization of Wind Turbines by Jiawang Yuan, Shan He, Jing Cheng, Weiqing Wang

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Optimization of Fuel Injection Control System of Two-Stroke Aeroengine of UAV by Yixuan Wang, Yan Shi, Maolin Cai, Weiqing Xu, Jian Zhang, Wei Zhong, Na Wang

“…Through simulation and experiment studies, it can be seen that when the engine speed changes from 3000 to 3500 RPM, the oil consumption rate of the optimal results is higher than that of the previous ones; when the aeroengine speed is higher than 4000 RPM, the oil consumption rate results of the optimal method are 10% to 27% higher than the original results. …”
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A computation offloading scheme for energy consumption optimization in Internet of vehicles by Wenxuan GAO, Xinjie YANG

“…In Internet of vehicles (IoV), vehicle-oriented applications are generally computation-intensive and latency-sensitive.Introducing idle computing resources from mobile vehicles as a supplement to network computing power can effectively alleviate the load pressure on edge servers.The problem of task allocation for edge computation offloading in the context of IoV environment were researched.By fully leveraging the combined computing resources of roadside units (RSU), user vehicles, and mobile vehicles within the RSU service range, a computation offloading strategy based on the sparrow search algorithm was proposed and referred to as sparrow search based computation offloading scheme (S²COS), aiming to optimize the overall system energy consumption.In addition, this strategy fully taked into account practical network issues such as service time constraints caused by vehicle mobility and the potential occurrence of computation node failures.The simulation results demonstrate that S²COS can meet the latency requirements for computation-intensive and latency-sensitive tasks, while significantly reducing system energy consumption.…”
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Optimizing Depression Classification Using Combined Datasets and Hyperparameter Tuning with Optuna by Ștefana Duță, Alina Elena Sultana

“…The results suggest that the hyperparameter-optimized Optuna model performs adequately to cope with the variability of real-world data. …”
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Comparison of algorithms for multi-objective optimization of radio technical device characteristics by A. V. Smirnov

“…One of the compared algorithms comprises the Third Evolution Step of Generalized Differential Evolution (GDE3) population-based algorithm for searching the full approximation of the Pareto set simultaneously, while the other three algorithms minimize the scalar objective function to find only one element of the Pareto set in a single search cycle: these comprise Multistart Pattern Search (MSPS), Multistart Sequential Quadratic Programming (MSSQP) method and Particle Swarm Optimization (PSO) algorithms.Results. …”
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Configural processing as an optimized strategy for robust object recognition in neural networks by Hojin Jang, Pawan Sinha, Xavier Boix

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Optimization of the process of cryopreservation of reproductive cells in male pikeperch, Sander lucioperca by Ainur S. Assylbekova, Gulnaz K. Barinova, Kuanysh N. Syzdykov, Ainura D. Mussina, Gulzhan A. Aubakirova, Aizhan B. Makhanbetova, Zhaxygali B. Kuanchaleyev

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Optimized in-solution enrichment of over a million ancient human SNPs by Roberta Davidson, Xavier Roca-Rada, Shyamsundar Ravishankar, Leonard Taufik, Christian Haarkötter, Evelyn Collen, Matthew P. Williams, Peter Webb, M. Irfan Mahmud, Erlin Novita Idje Djami, Gludhug A. Purnomo, Cristina Santos, Assumpció Malgosa, Linda R. Manzanilla, Ana Maria Silva, Sofia Tereso, Vítor Matos, Pedro C. Carvalho, Teresa Fernandes, Anne-France Maurer, João C. Teixeira, Raymond Tobler, Lars Fehren-Schmitz, Bastien Llamas

“…Conclusions In conclusion, we provide researchers in the field of human paleogenomics with a comprehensive understanding of the strengths and limitations of different sequencing and enrichment strategies, and our results offer practical guidance for optimizing experimental protocols.…”
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Enhancing Efficiency and Regularization in Convolutional Neural Networks: Strategies for Optimized Dropout by Mehdi Ghayoumi

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Optimization of Transformer Windings Based on FEA-XGBoost and NSGA-III Algorithm by Shi Bai-di, Jiang Yong-feng, Shang Jing-yu, Bao Ye-feng, Chen Bing-yan, Yang Ke

“…The results show that the leakage impedance is closer to the required value. …”
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