The Re-Modeling of a Polymeric Drug Delivery System Using Smart Response Surface Designs: A Sustainable Approach for the Consumption of Fewer Resources by Magdy M. Aly, Shaimaa S. Ibrahim, Rania M. Hathout

“…Such smart designs reduce the number of required experiments compared to full-factorial designs, while providing highly accurate and reliable results. …”
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Optimizing Airport Land Side Operations: Check-In, Passengers’ Migration, and Security Control Processes by Ludovica Adacher, Marta Flamini

“…The stochastic passengers’ behaviour and their preferences are simulated by a discrete event model, while the managing costs and the passengers’ discomfort are optimized by the Surrogate Method. …”
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Optimizing T cell transduction: a novel transduction device for efficient and scalable gene delivery by Kang-Zheng Lee, Tan Dai Nguyen, Dan Liu

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An ECoG-Based Binary Classification of BCI Using Optimized Extreme Learning Machine by Xinman Zhang, Qi Xiong, Yixuan Dai, Xuebin Xu, Guokun Song

“…In order to improve the accuracy of brain signal processing and accelerate speed meanwhile, we present an optimal and intelligent method for large dataset classification application in this paper. …”
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An eigenvalue-driven framework for the ranking and selection of optimal geological CO2 storage sites by Soha Iranfar, Farshad Sadeghpour, Abbas Khaksar Manshad, Meysam Naderi, Mahmood Shakiba

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Reversible Image Watermarking Using Modified Quadratic Difference Expansion and Hybrid Optimization Technique by H. R. Lakshmi, Surekha Borra

“…While the developed MQDE technique helps to improve coverage and visual quality, the novel data-driven distortion control unit ensures optimal performance. …”
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Optimizing Corporate Environmental Performance Through Green Process Innovation: An Approach to Business Sustainability by Ira Ningly, Sari Rahmadhani

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Advancing Monoclonal Antibody Manufacturing: Process Optimization, Cost Reduction Strategies, and Emerging Technologies by Ranbhor R

“…Scale-dependent considerations remain crucial in selecting optimal manufacturing strategies, while emerging technologies present new opportunities for process optimization. …”
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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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An optimized cubic B-spline algorithm for high-precision approximation of nonlinear transport phenomena by Rabia Noureen, Muhammad Kashif Iqbal, Maryam Asgir, Bandar Almohsen, Muhammad Azeem, Husam A. Neamah

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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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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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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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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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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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'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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Custom Network Quantization Method for Lightweight CNN Acceleration on FPGAs by Lingjie Yi, Xianzhong Xie, Yi Wan, Bo Jiang, Junfan Chen

“…In comparison to the original model, the proposed optimization methods result in an average decrease of 1.2% in accuracy. …”
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An effective lossless compression method for attitude data with implementation on FPGA by Fangxing Lyu, Zekang Xiong, Fei Li, Ying Yue, Nan Zhang

“…Abstract The attitude angles of the drilling tool serve as crucial information for transmitting Measurement While Drilling (MWD) data, enabling the optimization of drilling performance and ensuring tool safety. …”
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Improve the Intelligent Convenience of Multivariate Optimization of Concrete Mix Ratio and the Development of Corresponding Applications by Zhanfei Yang, Bin Chen, Jianfen Zhou, Saihua Huang

“…The results show that the error between the measured value and the design value is basically within 15%, which meets the design requirements. The method can reduce the time and cost of concrete production, with the cost per cubic meter after optimization is 3.5–8 CHY lower than the concrete mix calculated by the conventional method. …”
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