Optimization of Air Flow Pattern for Leakage of Ammonia Gas in a Refrigerator Room by Zhang Qianru, Zhang Xu, Ye Wei, Zhao Wenxuan, Zhi Chengqiang, Huang Yixiang, Ma Jin

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Parametric optimization of the slot waveguide characteristics using a machine-learning approach by Yadvendra Singh, Suraj Jena, Harish Subbaraman

“…Thus, providing a useful ML methodology for efficient optimization of slot waveguide structures for future applications.…”
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Optimizing Space Heating in Buildings: A Deep Learning Approach for Energy Efficiency by Fernando Almeida, Mauro Castelli, Nadine Corte-Real, Luca Manzoni

“…It aims to enhance heating efficiency by developing predictive models for building temperature and heating consumption, evaluating the effectiveness of different deep learning architectures, and analyzing the impact of model-driven heating optimization on energy savings and occupant comfort. …”
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Multidimensional Resource Task Scheduling Based on Particle Swarm Optimization in Edge Computing by Zhonglu Zou, Zhuxin Zhai, Xin Yan, Zilin You, Liming Chen

“…The proposed approach enables the simultaneous scheduling of multiple tasks while iteratively adjusting the inertia weight and learning factors in the discrete particle swarm optimization (DPSO) algorithm. Experimental results with different types of applications show that, compared to the baseline scheduling methods, the proposed strategy can flexibly adapt to the varying demands of different task types and effectively reduce the imbalance in the utilization of multi-dimensional cluster resources. …”
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Agent‐based modeling may help to merge research traditions in foraging ecology in Europe and North America by Matthieu Guillemain, Johan Elmberg, Claire A. Pernollet, Celine Arzel, John M. Eadie

“…In Europe, studies have instead focused on inter‐individual differences in behavior of foraging ducks, with an emphasis on individual efficiency (e.g., methods, intake rate, patch choice) within the framework of optimal foraging theory. …”
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Optimization of Subcritical Extraction and Membrane Technology for Refining Acer truncatum Seed Oil by Xianting RAN, Yu WANG, Lilang LI, Chaoju ZHANG, Zhongsheng LUO, Mei PENG, Juan YANG

“…Using membrane flux, degumming rate, iodine value, peroxide value and acid value as indicators, ceramic membranes with different pore sizes and polyethersulfone membranes with different molecular weights were screened. …”
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Optimizing irrigation for photosynthesis and drought resistance of extra- long staple cotton varieties by NING Liyun, ZHANG Jusong, WANG Li, WU Yifan, HU Haoran, ZHANG Chengjie

“…This study experimentally evaluated the drought resistance of major extra-long staple (ELS) cotton (Gossypium barbadense) varieties throughout their entire growth period. 【Method】The field experiment used a two-factor split-zone design to assess the effects of three irrigation levels: W1 (3 150 m3/hm2, 70% of conventional irrigation), W2 (3 825 m3/hm2, 85% of conventional irrigation), and W3 (4 500 m3/hm2, conventional irrigation). …”
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Formulation and evaluation of ocean dynamics problems as optimization problems for quantum annealing machines. by Takuro Matsuta, Ryo Furue

“…We cast the linear partial differential equation governing the Stommel model into an optimization problem by the least-squares method and discretize the cost function in two ways: finite difference and truncated basis expansion. …”
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Comprehensive Study of Nonlinear Maglev System Utilizing COOT Optimized FOPID Controller by Marabathina Maheedhar, T. Deepa

“…The contribution of the proposed work is two different algorithms, including the Genetic Algorithm and Whale Optimization Algorithm, were used to contrast the effectiveness of the FOPID controller based on the COOT method. …”
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ClipQ: Clipping Optimization for the Post-Training Quantization of Convolutional Neural Network by Yiming Chen, Hui Zhang, Chen Zhang, Yi Liu

“…In response to the issue that post-training quantization leads to performance degradation in mobile deployment, as well as the problem that the balanced consideration of quantization deviation by Clipping optimization techniques limits the improvement of quantization accuracy, this article proposes a novel clipping optimization method named ClipQ, which pays different attention to the parameters, aiming to preferentially reduce the quantization deviation of important parameters. …”
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Intermittent drying of clove basil leaves: Process optimization and essential oil yield by Raiane A. de Souza, Evandro de C. Melo, Mariane B. R. de Ávila, Diego A. Gonzaga, Naiara C. Z. Sperotto, Antônio P. S. Carneiro

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THE EMPIRICAL COMPARISON OF DEEP NEURAL NETWORK OPTIMIZERS FOR BINARY CLASSIFICATION OF OCT IMAGES by R. Loganathan, S. Latha

“…SGD, SGD with momentum, Agadrad, Adam, and RMS prop are the optimizers under investigation at different learning rates. …”
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Design and Optimization of an Al Doped ZnO in Si-Slot for Gas Sensing by Ritapa Bhattacharjee, N. T. Kejalakshmy, B. M. Azizur Rahman

“…A Silicon waveguide incorporating a vertical slot filled with Al^+3 doped ZnO is proposed for gas sensing. The effect of different device parameters, namely, slot-height, slot-width, and Si-width on two key optical features related to sensing, that is, difference in effective index and differential modal loss, before and after the exposure to gas are investigated using a fully-vectoral finite element method. …”
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Optimized ultrathin hybrid sound absorption metasurfaces with preserved hydrostatic pressure-resistant by Jiaming Feng, Qingxuan Liang, Xin Yan, Dichen Li

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Optimized Operation Design of Integrated Energy System with Wind Power Hydrogen Production by Mengjie GUO, Zheng YAN, Yun ZHOU, Peichao ZHANG

“…This paper considers the application of wind power hydrogen production equipment in integrated energy system, discusses different control methods of hydrogen production equipment, and proposes an integrated energy system optimization model for electric hydrogen production equipment. …”
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Multi-objective Bayesian optimization of carbon nanotube yield and diameter control at synthesis by R. Waelder, W. Kim, M. A. Pitt, J. I. Myung, B. Maruyama

“…It is a high-dimensional problem, with both a large number of experimental inputs and critically important outputs, since different single-walled CNT (SWCNT) structures exhibit vastly different properties. …”
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Mechanical Properties Optimization of Friction Stir Welded Lap Joints in Aluminium Alloy by Antonio Viscusi, Antonello Astarita, Umberto Prisco

“…Surface methods and gradient algorithms were used to optimize the yield strength of the joints. …”
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Optimization on alkaline and enzymatic extraction of tea flower protein and its functional properties by HOU Ling, SHEN Xian, CHEN Lin, KIM Eunhye, WU Yuanyuan, TU Youying

“…Besides, the protein from alkaline and enzymatic extractions had good abilities on scavenging 1, 1-dipheny-2-picryhydrazyl (DPPH) free radical with the rate of 50.79% and 56.04% respectively, suggesting ant-i oxidative function of the tea flower protein.In sum, the present work provides optimization methods on the extraction of tea flower protein. …”
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CyclicAugment: Optimized Medical Image Analysis via Adaptive Augmentation Intensity by Min-Jun Kim, Jung-Woo Chae, Hyun-Chong Cho

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An Enhanced Comprehensive Learning Particle Swarm Optimizer with the Elite-Based Dominance Scheme by Chengcheng Chen, Xianchang Wang, Helong Yu, Nannan Zhao, Mingjing Wang, Huiling Chen

“…However, when the single modal function is processed, the convergence speed of the algorithm is too slow to converge quickly to the optimum during optimization. In this paper, the elite-based dominance scheme of another well-established method, grey wolf optimizer (GWO), is introduced into the CLPSO, and the grey wolf local enhanced comprehensive learning PSO algorithm (GCLPSO) is proposed. …”
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