Optimized workflow for behavior-coupled fiber photometry experiment: improved data navigation and accessibility by Anna Athanassi, Amaury François, Emmanuel Bourinet, Marc Thevenet, Nathalie Mandairon

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Adaptive Bayesian optimization for proportional derivative control in double-acting piston pump ventilators by Cong Toai Truong, Trung Dat Phan, Van Tu Duong, Huy Hung Nguyen, Thanh Truong Nguyen, Tan Tien Nguyen

“…The method integrates a conventional proportional derivative control algorithm with Bayesian optimization to rapidly determine optimal control parameters without a precise system model and adaptively re-tune these parameters in response to fluctuations in patient respiratory conditions. …”
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Heuristic Optimization-Based Trajectory Planning for UAV Swarms in Urban Target Strike Operations by Chen Fei, Zhuo Lu, Weiwei Jiang

“…To address this challenge, this paper proposes a target strike strategy using the Electric Eel Foraging Optimization (EEFO) algorithm, a heuristic optimization method designed to ensure precise strikes in complex environments. …”
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An accuracy-privacy optimization framework considering user’s privacy requirements for data stream mining by Waruni Hewage, R. Sinha, M. Asif Naeem

“…Experimental results show that the proposed framework archives an optimal privacy level above 97% while minimising the accuracy loss across various datasets. …”
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Prediction of surface deformation time series in closed mines based on LSTM and optimization algorithms by Hu Caixiong, Zhang Lili, Li Haoran, Zhang Yaowen, Yao Yunsheng

“…Long-term predictions of surface deformation in closed mining areas remain challenging, as traditional statistical methods have limited capability in modeling complex spatiotemporal deformation patterns. …”
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Artificial Optimizer Algorithm for Power System Stabilizer design problem and multidisciplinary engineering applications by Narinder Singh, Mandeep Kaur, Essam H. Houssein

“…In the direction of evaluating the VROA, we utilized it on 51 CEC'17, CEC'20, and CEC'22 standard benchmark suites and six multidisciplinary engineering optimization functions. Furthermore, well-known statistical methods like Wilcoxon rank-sum test and Friedman's test have been used to verify the strength of the proposed algorithm against various optimizers. …”
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Chain hybrid feature selection algorithm based on improved Grey Wolf Optimization algorithm. by Xiaotong Bai, Yuefeng Zheng, Yang Lu, Yongtao Shi

“…In particular, the wrapper algorithm is an improved Grey Wolf Optimization (IGWO) algorithm based on random disturbance factors, while the parameters are adjusted to vary randomly to make the population variations rich in diversity. …”
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Enhancing Visual-Language Prompt Tuning Through Sparse Knowledge-Guided Context Optimization by Qiangxing Tian, Min Zhang

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Optimization of High-Speed Railway Line Planning Considering Extra-Long Distance Transportation by Ying Wang, Qi-Yuan Peng, Ling Liu, Jia-Kang Wang

“…Last, the method and optimizing model is verified by the network which took Baoji–Lanzhou HSR as the core. …”
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Optimization of Communication Signal Adversarial Examples by Selectively Preserving Low-Frequency Components of Perturbations by Yi Zhang, Lulu Wang, Xiaolei Wang, Dianxi Shi, Jiajun Bai

“…In this paper, a novel method to optimize communication signal adversarial examples is proposed by focusing on low-frequency components of perturbations (LFCP). …”
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Gradient-Based Optimization of All-Pass Filter Networks for Non-Invasive Electroanatomical Mapping by Erik Engelhardt, Johannes Hoffmann, Moritz Boueke, Lukas Elsner, Marius Leye, Norbert Frey, Gerhard Schmidt

“…We investigated interconnected all-pass filter networks as a novel middle ground that enables continuous, differentiable representation of cardiac propagation velocities while maintaining computational tractability. Through systematic analysis of these networks&#x2019; fundamental properties and scaling behavior, we demonstrate successful gradient-based optimization of propagation velocities in networks of up to 50 filters and 2D arrangements of <inline-formula> <tex-math notation="LaTeX">$5\times 5$ </tex-math></inline-formula> voxels using magnetocardiographic measurements, while identifying critical scaling challenges in more complex geometries. …”
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Research on Quasi-Elastic–Plastic Optimization of Reinforced Concrete Frame–Shear Wall Structures by Fengling Jin, Bo Hu, Jianlu Zhou, Boqing Gao, Qiankun Zhang

“…This article proposes a quasi-elastic–plastic optimization method for reinforced concrete structures. …”
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Secure ISAC MIMO systems: exploiting interference with Bayesian Cramér–Rao bound optimization by Nanchi Su, Fan Liu, Christos Masouros, George C. Alexandropoulos, Yifeng Xiong, Qinyu Zhang

“…In particular, assuming that the distribution of each parameter to be estimated is known a priori, we focus on optimizing the targets’ sensing performance. To this end, we derive and minimize the Bayesian Cramér–Rao bound, while ensuring certain communication quality of service by exploiting constructive interference. …”
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Structured Summarization of League of Legends Match Data Optimized for Large Language Model Input by Jooyoung Kim, Wonkyung Lee, Jungwoon Park

“…This paper introduces the League of Legends Match Data Compactor (LoL-MDC), a tool designed to transform extensive match data into a concise and structured format optimized for LLM processing. By systematically summarizing structured match information—including match overviews, player and team statistics, timeline summaries, and algorithmically selected key events—the LoL-MDC significantly reduces the data size from approximately 80,000 tokens to under 2000 tokens while retaining analytical value. …”
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Study on Energy-saving Optimization Strategy and Simulation of Central Air-conditioning Water System by Fan Xinzhou, Yao ye

“…In this study, a start-stop optimization strategy for the chiller and water pump and the global optimization method for the control parameters is proposed while aiming to satisfy the terminal cooling load and to minimize the total energy consumption of the system. …”
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Adapting physics-informed neural networks to improve ODE optimization in mosquito population dynamics. by Dinh Viet Cuong, Branislava Lalić, Mina Petrić, Nguyen Thanh Binh, Mark Roantree

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'Flexibility is the name of the game’: Clinicians’ views of optimal dose of psychological interventions for psychosis and paranoia by Carolina Fialho, Alya Abouzahr, Pamela Jacobsen, Sukhi Shergill, Daniel Stahl, Jenny Yiend

“…In community settings, participants recommended 1–5 sessions for shorter-term goals, 10–12 sessions for longer-term goals, and highlighted the importance of review after 20–26 sessions. While a range of 16–26 sessions was identified as optimal, a consensus formed around dose being variable to each individual. …”
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Load optimization of cogeneration units based on intuitive multi-objective fish swarm algorithm by Xueqiang Shen, Jiaxin Wang

“…The algorithm reduces heat/electricity losses and operational costs under diverse conditions while enhancing load utilization rates. These results validate IFEMOAFSA’s effectiveness in solving annual load optimization challenges for cogeneration systems, showing promising applications for similar multi-objective optimization problems requiring dynamic adaptability and robust convergence properties.…”
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Three-dimensional finite-time optimal cooperative guidance with integrated information fusion observer by Yiao Zhan, Linwei Wang, Di Zhou

“…The proposed FTOC guidance law employs a nonlinear, non-quadratic finite-time optimal control strategy designed for rapid convergence within the limited timeframes of near-space interceptions, avoiding the need for remaining flight time estimation or linear decoupling inherent in traditional methods. …”
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Optimizing RWIS Locations with Wasserstein Distance and Geostatistics: A Case Study in South Korea by Nancy Huynh, Jinhwan Jang, Tae J. Kwon

“…Addressing these limitations, this study introduces an innovative approach using Wasserstein Distance (WD) to link semivariograms across different datasets. This method streamlines optimization by eliminating the need for repetitive semivariogram modeling in new study areas. …”
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