Maximum efficiency and power point tracking system for hybrid compensated wireless charging of electric vehicle by Pabba Ramesh, R.K. Pongiannan, Lukas Demel, Roman Hrbac, Narayanamoorthi R

“…However, under varied operating conditions, maintaining optimal power transfer efficiency and load power is typically beyond the capabilities of compensatory topologies. …”
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Multivariate Load Forecasting of Integrated Energy System Based on CEEMDAN-CSO-LSTM-MTL by WANG Yongli, LIU Zeqiang, DONG Huanran, LI Dexin, CHEN Xin, GUO Lu, WANG Jiarui

“…Based on this，a comprehensive energy system short-term load forecasting model is proposed，which combines complete ensemble empirical mode decomposition with adaptive noise （CEEMDAN），cross optimization algorithm （CSO），long short term memory （LSTM） network，and multi task learning （MTL）. …”
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Apriori algorithm based prediction of students’ mental health risks in the context of artificial intelligence by You Fu, Fang Ren, Jiantao Lin

“…The model’s weight coefficients were optimized using the Quantum Particle Swarm Optimization (QPSO) algorithm. …”
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Road Traffic Safety Risk Estimation Method Based on Vehicle Onboard Diagnostic Data by Xiaoyu Cai, Cailin Lei, Bo Peng, Xiaoyong Tang, Zhigang Gao

“…This method involves three aspects, namely, optimization of the base of the logarithm, processing of zero-value secondary indices, and piecewise calculation of the weight of each index. …”
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Catalytic Conversion for Hydrogen Sulfide by Xiaoyu Zhou, Xiaoning Pei, Rui Wang, Tiansheng Zhao

“…Besides, after regeneration, the desulfurization capacity of H7PMo11CoO39 towards H2S only a drop of 5.11% of the initial desulfurization capacity. Optimization experiments demonstrated that H7PMo11CoO39 had the ideal desulfurization performance under the condition of low H2S concentration or high dosage of H7PMo11CoO39. …”
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Improvement of reading platforms assisted by the spring framework: A recommendation technique integrating the KGMRA algorithm and BERT model by Yawen Su

“…It not only offers significant application value but also contributes new perspectives for the optimization and innovation of future recommendation systems.…”
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Real-time geo-decisional system for risk and disaster management in Madagascar by Rakotoarison Tsiorinantenaina René, Hajalalaina Aimé Richard

“…The proposed real-time ETL unit is composed of the capitalization of risk analysis experiments to ensure their reusability, as well as the insertion of processing parallelization to optimize the processing time of voluminous data. The real-time SOLAP unit consists of real-time cube formation using a spatial database that stores spatio-temporal data from a given point in time, with query optimization using materialized query technology. …”
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Modelling sensory attenuation as Bayesian causal inference across two datasets. by Anna-Lena Eckert, Elena Fuehrer, Christina Schmitter, Benjamin Straube, Katja Fiehler, Dominik Endres

“…Next, we identify participant-specific model parameters for both experiments using optimization.<h4>Results</h4>A sequential BCI model is well equipped to capture empirical patterns of SA across both datasets. …”
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Securing Urban Landscape: Cybersecurity Mechanisms for Resilient Smart Cities by Qiang Lyu, Sujuan Liu, Zhouyuan Shang

“…Additionally, the framework achieves a 45% improvement in system resilience during attacks and optimizes defense strategies to reduce deployment costs while increasing overall effectiveness. …”
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Finite Element Analysis of Stress on Cross-Wavy Primary Surface Recuperator Based on Thermal-Structural Coupling Model by Xiaohong Gui, Xiange Song, Haiwen Gong, Dianbao Yao, Ruogu Chen, Guang Xu

“…The research results can be used to guide the designing and optimization of recuperator.…”
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Firefighting with Conductive Aerosol-Assisted Vortex Rings by John LaRocco, Qudsia Tahmina, Stanley Essel, John Simonis

“…Further investigation of the concept requires a systematic examination of other types of fires, electronic optimization, permutations of chemicals and concentrations, other types of vortex generation, and human factors. …”
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Multi-Timescale Modeling Framework of Hybrid Power Plants Providing Secondary Frequency Regulation by Yuxin Deng, Xin Fang, Ningchao Gao, Jin Tan

“…To address this challenge, this paper presents a generic modeling framework for HPPs that integrates steady-state optimization with dynamic control across multiple timescales, enabling seamless HPP participation in day-ahead and real-time markets and real-time control. …”
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Comparative analysis of methods for seasonal particulate organic nitrate estimation in urban areas by Wenfei Zhu, Jialin Shi, Song Guo, Qinghong Wang, Jun Chen, Shengrong Lou, Min Hu

“…This optimization reduced discrepancies in organic nitrate using the NOx + ratio to 3.2–7.4%. …”
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Games and gamers: the influence of participating players on the process and outcome of regional spatial energy games by Hartmut Dumke, Pia Nabielek

“…In the future, more attention should be paid to the interaction, discussions and dynamics within the player teams. The optimization of player teams needs to be strongly considered in game design. …”
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The Importance of Exercise and General Mental Health on Prediction of Property-Damage-Only Accidents among Taxi Drivers in Tehran: A Study Using ANFIS-PSO and Regression Models by Ehsan Abbasi, Mansour Hadji Hosseinlou

“…The adaptive neurofuzzy inference system and particle swarm optimization (ANFIS-PSO) was used for tuning the parameters of membership function of the fuzzy model applied for this prediction. …”
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The Eclipsing Binaries via Artificial Intelligence. II. Need for Speed in PHOEBE Forward Models by Marcin Wrona, Andrej Prša

“…To address this, we present a fully connected feedforward artificial neural network (ANN) trained on a data set of over one million synthetic light curves generated with PHOEBE. Optimization of the ANN architecture yielded a model with six hidden layers, each containing 512 nodes, providing an optimized balance between accuracy and computational complexity. …”
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Fish scale-inspired biomimetic nanocoatings on magnesium implants for vascularized bone regeneration in infected bone defects by Dan Li, Danni Dai, Jianrong Wang, Zhen Ai, Chao Zhang

“…The bionic 2D layered BP/GO nano-coating was constructed for infection resistance, osteogenic microenvironment optimization, and biodegradation control. In the early stage of implantation, it exerted a photothermal effect to ablate bacterial biofilms and avoid contaminating the microenvironment. …”
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ECT Image Recognition of Pipe Plugging Flow Patterns Based on Broad Learning System in Mining Filling by Xuebin Qin, ChenChen Ji, Yutong Shen, Pai Wang, Mingqiao Li, Junle Zhang

“…BLS is a feedforward neural network with few optimization parameters and fast training speed. In this paper, three features of two-phase sample images, the number of regional blocks, the roundness of regional blocks, and barycenter of regional blocks, are combined with network structure of BLS to recognize different flow patterns. …”
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Deep Learning for Traffic Scene Understanding: A Review by Parya Dolatyabi, Jacob Regan, Mahdi Khodayar

“…The significance of Hyperparameter Optimization (HPO) is also discussed, emphasizing its critical role in enhancing model performance and efficiency, particularly in adapting DL models for practical, real-world use. …”
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Feature Extraction and Recognition of Medical CT Images Based on Mumford-Shah Model by Lumin Fan, Lingli Shen, Xinghua Zuo

“…The Mumford-Shah curve evolution model solves the image segmentation by finding the minimum of the energy generalization of its model to obtain the optimal result of image segmentation, so for solving the minimum of the Mumford-Shah model, we first optimize the discrete problem of the energy generalization of the model by the convex relaxation technique and then use the Chambolle-Pock pairwise algorithm We then use the Chambolle-Pock dual algorithm to solve the optimization problem of the model after convex relaxation and finally obtain the image segmentation results. …”
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