Optimization of heat transfer coefficient in green roof modules based on life cycle carbon emissions by Dengguo Wu, Zhengwen Wang, Jian Yang, Xiaojia Liu, Tao Wang

“…The results show that for different soil thicknesses, heat transfer coefficients are 0.1 m (0.76 W/m2·K), 0.2 m (0.624 W/m2·K), 0.3 m (0.53 W/m2·K), and 0.4 m (0.46 W/m2·K). …”
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Modeling and optimization of renewable hydrogen systems: A systematic methodological review and machine learning integration by M.D. Mukelabai, E.R. Barbour, R.E. Blanchard

“…Previous studies have included many aspects into their optimizations, including technical parameters and different costs/socio-economic objective functions, however there is no clear best-practice framework for model development. …”
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Improved Pork-Chop Plot for Asteroid Kinetic Impact Deflection Test Mission Trajectory Optimization by Kaiduo Wang, Mingtao Li, Jianming Wang

“…This approach reduces the number of iterations required for matching the deep-space transfer trajectory with the launch vehicle injection phase from more than five to one. The proposed method can serve as a valuable reference for target selection and trajectory optimization in in-orbit validation missions for kinetic impact deflection of asteroids.…”
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Unraveling deep-learning detection of atmospheric Kármán vortex streets: dataset, baseline benchmarking, and optimization by Yihan Zhang, Chaoyue Wu, Qiao Su, Yuqi Zhang, Daoyi Chen

“…This network, built upon a custom-designed mini-ResNet dual-level classification network and trained on MODIS HDF-format sensor data, demonstrates that the dataset is particularly suited for detecting Kármán vortex streets in cloudy conditions. Different types of advanced algorithms were applied on the dataset, yielding baseline performance metrics and potential detection methods. …”
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Anomaly Detection and Performance Analysis With Exponential Smoothing Model Powered by Genetic Algorithms and Meta Optimization by Ali Kerem Guler, Huseyin Fuat Alsan, Taner Arsan

“…This study proposes a robust traffic anomaly detection method that ensures reliable monitoring and potentially facilitates effective traffic management and planning.The results of the study can be extended to other areas requiring real-time data monitoring and anomaly detection, offering a scalable solution adaptable to different contexts and requirements.…”
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Research on Stacking Distribution of Steel Plates Input Based on Improved Multi-objective Particle Swarm Optimization by ZHONG Chuanjie, CHENG Wenming, DU Run, GAO Xuchao, ZHANG Lin

“…This study analyzes the overall warehouse layout and operational flow, proposes a multi-objective optimization model, and designs an efficient multi-objective algorithm to address the problem.Methods Based on the actual demand of the principle of priority in warehouse delivery, the principle of stacking safety, the principle of minimum stacking amount, and the principle of inventory balance, three indices were proposed: warehouse delivery efficiency, plate and stack difference, and inventory balance. …”
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Optimization of Urban Rail Transit Train Stock Utilization under Re-coupling Operation Mode by DENG Chengyuan, LU Jinsheng, ZHU Changfeng, SUN Yuanguang, MA Bin

“…［Result & Conclusion］ The optimized train stock utilization scheme of urban rail transit under the re-coupling operation mode can reasonably optimize the connection between different marshalling train trips and reduce the operation costs for enterprises.…”
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A New 13-Level Flying Capacitor-based 1-φ Inverter with Full Reactive Power Support by Jaber Fallah Ardashir, Mahdi Gasemi, Behrouz Rozmeh

“…The optimal capacitors are designed for minimum voltage drop in the different loads. …”
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Propionyl Carnitine Metabolic Profile: Optimizing the Newborn Screening Strategy Through Customized Cut-Offs by Maria Lucia Tommolini, Maria Concetta Cufaro, Silvia Valentinuzzi, Ilaria Cicalini, Mirco Zucchelli, Alberto Frisco, Simonetta Simonetti, Michela Perrone Donnorso, Sara Moccia, Ines Bucci, Maurizio Aricò, Vincenzo De Laurenzi, Luca Federici, Damiana Pieragostino, Claudia Rossi

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Research on reconfiguration time analysis method of integrated modular avionics system by Zheng Xiaopeng, Wang Xiaohui, Chen Chunyan

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Optimization and impact of an evidence-based pre-audit prescription decision system in primary healthcare settings by Xiao-Hui Yue, Lei Yang, Jing-Jing Zhong, Hong-Mei Liu, Dan Wang, Xue Tao, Gao-Feng Zheng

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Ultrasound Examination of Skin, Fasciae and Subcutaneous Tissue: Optimizing Rehabilitation for Secondary Upper Limb Lymphedema by Carmelo Pirri, Chiara Ferraretto, Nina Pirri, Lara Bonaldo, Raffaele De Caro, Stefano Masiero, Carla Stecco

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A multi-objective optimization-based ensemble neural network wind speed prediction model by Haoyuan Ma, Chang Liu, Ziyuan Qiao, Yuan Liang, Hongqing Wang

“…However, most existing short-term wind speed forecasting methods rely solely on historical wind speed sequences, neglecting other influential factors. …”
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Optimizing pediatric preoperative fasting management: a survey of practices and real durations in Chinese hospitals by Bin Zhang, Shoudong Pan, Jijian Zheng, Bo Li, Yi Miao, Guohua Liu

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Smart grid stability prediction using Adaptive Aquila Optimizer and ensemble stacked BiLSTM by Safwan Mahmood Al-Selwi, Mohd Fadzil Hassan, Said Jadid Abdulkadir, Mohammed Gamal Ragab, Alawi Alqushaibi, Ebrahim Hamid Sumiea

“…Traditional machine learning (ML) models often fall short in predicting the highly variable nature of smart grid operations. Methods: This study introduces an ensemble stacked bidirectional Long Short-Term Memory model enhanced by a proposed Adaptive Aquila Optimizer (AAO). …”
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A diffractometer project for Brazilian Multipurpose Reactor (RMB): McStas simulations and instrument optimization by Alexandre Pinho dos Santos Souza, Luiz Paulo de Oliveira, Fabiano Yokaichiya, Frederico Antonio Genezini, Margareth Kazuyo Kobayashi Dias Franco

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Fractional-order SIR model for ADHD as a neurobiological and genetic disorder by Zeeshan Afzal, Mansoor Alshehri

“…Numerical simulations are carried out using the Laplace Residue Power Series (LRPS) and Runge-Kutta 4th Order (RK4) methods for different values of the fractional-order parameter $$\alpha$$ . …”
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Translation and cross-cultural adaptation of the mixed methods appraisal tool to the brazilian context / Tradução e adaptação transcultural do instrumento mixed... by Rafaella Queiroga Souto, Karina Sotero de Araújo Lima, Pierre Pluye, Quan Nha Hong, Kimberly Barbosa, Gleicy Karine Nascimento de Araújo

“…Conclusion: the translated and adapted instrument can be an important tool for scientific production in Brazil, optimizing the production of systematic reviews in the different areas of knowledge.…”
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Translation and cross-cultural adaptation of the mixed methods appraisal tool to the brazilian context / Tradução e adaptação transcultural do instrumento mixed... by Rafaella Queiroga Souto, Karina Sotero de Araújo Lima, Pierre Pluye, Quan Nha Hong, Kimberly Barbosa, Gleicy Karine Nascimento de Araújo

“…Conclusion: the translated and adapted instrument can be an important tool for scientific production in Brazil, optimizing the production of systematic reviews in the different areas of knowledge.…”
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Translation and cross-cultural adaptation of the mixed methods appraisal tool to the brazilian context / Tradução e adaptação transcultural do instrumento mixed... by Rafaella Queiroga Souto, Karina Sotero de Araújo Lima, Pierre Pluye, Quan Nha Hong, Kimberly Barbosa, Gleicy Karine Nascimento de Araújo

“…Conclusion: the translated and adapted instrument can be an important tool for scientific production in Brazil, optimizing the production of systematic reviews in the different areas of knowledge.…”
Get full text