Predicting anemia management in dialysis patients using open-source machine learning libraries by Takahiro Inoue, Norio Hanafusa, Yuki Kawaguchi, Ken Tsuchiya

“…Methods This study utilized ML to predict anemia management using data from 67 long-term HD patients treated at Tokyo Women’s Medical University. …”
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Open-source magnetic system for wireless neuromodulations in vitro and for untethered brain stimulation in vivo by Jun-Xuan Huang, Ping-Hsiang Yen, Chao-Chun Cheng, Yi-Cheng Fang, Po-Han Chiang

“…Wireless approaches, such as those leveraging magnetic nanoparticles and magnetosensitive proteins, have gained considerable attention. Among these, methods requiring low magnetic field density (< 50 mT) and low frequencies (< 20 Hz) show promise for broader applications due to their scalability and energy efficiency. …”
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Enhanced wombat optimization algorithm for multi-objective optimal power flow in renewable energy and electric vehicle integrated systems by Karthik Nagarajan, Arul Rajagopalan, Mohit Bajaj, Valliappan Raju, Vojtech Blazek

“…Further, the authors also used Weibull, lognormal and normal probability distribution functions (PDFs) for characterizing the uncertainties faced in solar PV, wind energy and PEV sources. In various scenarios, the proposed method was validated for its efficacy on IEEE 30-bus, IEEE 57-bus, and IEEE 118-bus systems. …”
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A new smart charging electric vehicle and optimal DG placement in active distribution networks with optimal operation of batteries by Bilal Naji Alhasnawi, Marek Zanker, Vladimír Bureš

“…Thirdly, this paper proposes an optimization technique based on the Mountain Gazelle Optimizer (MGO), Improved Beluga Whale Optimization (IBWO), and Arithmetic Optimization Algorithm (AOA) for determining the optimal DGs in radial distribution systems. …”
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Low-Frequency Noise Attenuation in a Closed Space Using Adaptive Directivity Control Sources of a Quadrupole Type by Marios GIOUVANAKIS, Christos SEVASTIADIS, George PAPANIKOLAOU

“…A finite element model of a modal enclosed sound field is excited harmonically, representing a noise field in the low-frequency range. The control sources are comprised of elementary dipole sources for which the driving signals are adjusted by an optimization method. …”
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Optimizing Fuel Economy in Hybrid Electric Vehicles Using the Equivalent Consumption Minimization Strategy Based on the Arithmetic Optimization Algorithm by Houssam Eddine Ghadbane, Ahmed F. Mohamed

“…Establishing an energy management strategy (EMS) for fuel cell electric vehicles (FCEVs) is essential for optimizing power distribution among various energy sources. …”
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Exploring the Key Features of Repeating Fast Radio Bursts with Machine Learning by Wan-Peng Sun, Ji-Guo Zhang, Yichao Li, Wan-Ting Hou, Fu-Wen Zhang, Jing-Fei Zhang, Xin Zhang

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Integration Method with Backpropagation by Nidhal AL-Assady, Jamal Majeed, Shahbaa Khaleel

“…To obtain the optimal weight with minimum iteration and minimum time, we applied a new method on many applications to prove the result of this method (pattern compression, encoding and recognition on Arabic, English digits and alphabetic.…”
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Analysis and Optimization of Laser Beam Welding Parameters for Aluminium Composite (Al-Zn-Cu Alloy) by Grey Relational Optimization by Nitish Kumar Singh, Balaguru Sethuraman, Manoj Gupta

“…The standard deviation objective weighting–grey relational optimization method optimized the process parameter. …”
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Effects of Control for Electronic Expansion Valve on Performance of Air-source Heat-pump Water Heater by Yu Zhongyang, Tao Leren, Yuan Chaoyang, Wang Chao

“…The maximum optimization ratio on system COP for the method of controlling the electronic expansion valve via the superheated temperature in the compressor suction (optimization #2) is lower than that for optimization #1, at 4.2%. …”
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Reinforcement Learning Agent for Multi-Objective Online Process Parameter Optimization of Manufacturing Processes by Akshay Paranjape, Nahid Quader, Lars Uhlmann, Benjamin Berkels, Dominik Wolfschläger, Robert H. Schmitt, Thomas Bergs

“…The results demonstrate the feasibility of the proposed method for real-time industrial deployment. Moreover, Pareto-optimality is verified via half-space analysis, emphasizing the framework’s effectiveness in managing trade-offs among competing objectives.…”
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A Single-Field Finite Difference Time-Domain Method Verified Using a Novel Antenna Design with an Artificial Magnetic Conductor Enhanced Structure by Yongjun Qi, Weibo Liang, Yilan Hu, Liang Zhang, Cheng You, Yuxiang Zhang, Tianrun Yan, Hongxing Zheng

“…New formulas incorporating resistors and voltage sources are derived for the SF-FDTD algorithm, including hybrid implicit–explicit and weakly conditionally stable SF-FDTD methods. …”
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On Approximation of Entropy Solutions for One System of Nonlinear Hyperbolic Conservation Laws with Impulse Source Terms by Ciro D'Apice, Peter I. Kogut, Rosanna Manzo

“…Using the vanishing viscosity method and the so-called principle of fictitious controls, we show that entropy solutions to the original Cauchy problem can be approximated by optimal solutions of special optimization problems.…”
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Bayesian model parameter learning in linear inverse problems: application in EEG focal source imaging by Alexandra Koulouri, Ville Rimpiläinen

“…In addition, alternating optimization was used as a reference method. As an example application, we focused on the problem of reconstructing brain activity from EEG recordings (a.k.a. …”
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Real-time prediction model of public safety events driven by multi-source heterogeneous data by Quanlong Fan, Gang Xu

“…To address the challenge of efficiently integrating multi-source heterogeneous data to improve the accuracy of public safety event prediction, this study proposes and validates a novel public safety event prediction model, GATPNet, based on multi-source heterogeneous data. …”
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Pathological Voice Source Analysis System Using a Flow Waveform-Matched Biomechanical Model by Xiaojun Zhang, Lingling Gu, Wei Wei, Di Wu, Zhi Tao, Heming Zhao

“…A fitting procedure combining genetic particle swarm optimization and a quasi-Newton method was developed to optimize the biomechanical model parameters and match the targeted voice source. …”
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Numerical Aeroacoustic Assessment of a Metacontinuum Device Impinged by a Laser-Generated Sound Source by Giada Colombo, Giorgio Palma, Umberto Iemma

“…In the present paper, the response of a spacetime-corrected metacontinuum is coupled with a high-fidelity aeroacoustic model of the hosting fluid to allow for the modelling of actual experimental realizations of a laser-generated sound source. The availability of a reliable model to couple the convective metacontinuum design with the heat-release source would make possible the systematic cross-validation of the numerical simulations with the experimental results obtained in the most advanced testing facilities, paving the way to an effective inclusion of metacontinuum-based devices in aeronautics and, finally, in a simulation-based, multidisciplinary design optimization framework. …”
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Optimal Subsampling for Upper Expectation Parametric Regression by Zhaolei Liu

“…Under certain assumptions, this method satisfies the condition of asymptotic normality. …”
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Transforming waste into value: Advancements in protein recovery and functional product development from wastewater sources by Thirugnanasambandham Karchiyappan, Parameswari Ettiyagounder, Paul Sebastian Selvaraj, Krishnan Ramanujam

“…Despite advancements, challenges such as high costs, energy inefficiency, and method integration persist. Future research should focus on innovative technologies and process optimization based on artificial intelligence (AI) and machine learning (ML) and other subfields should encompass to improve recovery yields and foster a sustainable circular economy.…”
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Risk Assessment of Dynamic Diffusion of Urban Non-Point Source Pollution Under Extreme Rainfall by Ting Wen, Chuanxun Li, Jiawen Liu, Peng Wang

“…This study can support the targeted governance of pollution sources and land planning optimization in urban storm and flood management, and help reduce environmental health risks in extreme climates.…”
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