Optimization Driven Variational Autoencoder GAN for Artifact Reduction in EEG Signals for Improved Neurological Disorder and Disability Assessment by Sikkandar Mohamed Yacin, Sabarunisha Begum S., Alassaf Ahmad, AlMohimeed Ibrahim, Alhussaini Khalid, Aleid Adham, Alhaidar Abdulrahman Khalid

“…This study introduces an innovative method for minimizing artifacts in electroencephalography (EEG) signals by integrating brainstorm optimization (BSO) with a variational autoencoder generative adversarial network (VAE-GAN), resulting in the BrOpt_VAGAN model. …”
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Robust Underwater Vehicle Pose Estimation via Convex Optimization Using Range-Only Remote Sensing Data by Sai Krishna Kanth Hari, Kaarthik Sundar, José Braga, João Teixeira, Swaroop Darbha, João Sousa

“…The proposed framework integrates three key components, each formulated as a convex optimization problem. First, we introduce a robust calibration function that unifies multiple sources of measurement error—such as range-dependent degradation, variable sound speed, and latency—by modeling them through a monotonic function. …”
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Design and Optimization Strategy of a Net-Zero City Based on a Small Modular Reactor and Renewable Energy by Jungin Choi, Junhee Hong

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Risk–Cost Equilibrium for Grid Reinforcement Under High Renewable Penetration: A Bi-Level Optimization Framework with GAN-Driven Scenario Learning by Feng Liang, Ying Mu, Dashun Guan, Dongliang Zhang, Wenliang Yin

“…Spatial congestion maps and scenario risk-density plots further illustrate the ability of adversarial learning to reveal latent structural bottlenecks not captured by conventional methods. This work offers a new methodological paradigm, in which optimization and generative AI co-evolve to produce robust, data-aware, and stress-responsive transmission infrastructure designs.…”
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Noise Analysis and Suppression Methods for the Front-End Readout Circuit of a Microelectromechanical Systems Gyroscope by Chunhua He, Yingyu Xu, Xiaoman Wang, Heng Wu, Lianglun Cheng, Guizhen Yan, Qinwen Huang

“…Therefore, it is essential to analyze and suppress the noises in the key analog circuits, which are the main noise sources. This study presents an optimized front-end readout circuit and noise suppression methods. …”
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Optimal dispatching of integrated agricultural energy system considering ladder-type carbon trading mechanism and demand response by Liai Gao, Fan Fei, Yuchen Jia, Peng Wen, Xianlong Zhao, Hua Shao, Tianle Feng, Limin Huo

“…Finally, the model is solved by CPLEX, and the coupling system of a 6-node power distribution network, a 6-node gas network, and a 4-node heat supply network is used to verify the effectiveness of the proposed model and method and optimize the operation of the integrated agricultural energy system.…”
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Calculation of spatial target coordinates in range-difference passive radars by the Levenberg – Marquardt method by A. A. Dmitrenko, S. Y. Sedyshev, Y. У. Kuleshov, A. A. Bogatyrev

“…Upon completing a comparative analysis of obtained characteristics and dependencies, we concluded that it is optimal to include four receiving points in a range-difference passive radar and use the Levenberg – Marquardt method to calculate the spatial coordinates of radio emission sources.…”
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High Current Accelerator-driven Neutron Sources - The HBS project for a next generation neutron facility [version 2; peer review: 3 approved, 1 approved with reservations] by Ralf Gebel, Olaf Felden, Romuald Hanslik, Andreas Lehrach, Oliver Meusel, Yannick Beßler, Holger Podlech, Thomas Gutberlet, Thomas Brückel, Johannes Baggemann, Klaus Lieutenant, Jingjing Li, Ulrich Rücker, Eric Mauerhofer, Paul Zakalek, Jörg Voigt

“…Methods A project was launched at the Jülich Centre for Neutron Science for the development, design and demonstration of such an innovative high-current accelerator driven neutron source termed “High-Brilliance neutron Source” (HBS). …”
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High Current Accelerator-driven Neutron Sources - The HBS project for a next generation neutron facility [version 3; peer review: 3 approved, 1 approved with reservations] by Ralf Gebel, Olaf Felden, Romuald Hanslik, Andreas Lehrach, Oliver Meusel, Yannick Beßler, Holger Podlech, Thomas Gutberlet, Thomas Brückel, Johannes Baggemann, Klaus Lieutenant, Jingjing Li, Ulrich Rücker, Eric Mauerhofer, Paul Zakalek, Jörg Voigt

“…Methods A project was launched at the Jülich Centre for Neutron Science for the development, design and demonstration of such an innovative high-current accelerator driven neutron source termed “High-Brilliance neutron Source” (HBS). …”
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Study on Heat Transfer Characteristics of CSNS Decoupled Posioned Hydrogen Moderator by ZHU Ling-bo, LU Yi-ping, TONG Jian-fei, LU You-lian, LIANG Tian-jiao

“…The flow field distribution and thermal properties of supercritical hydrogen are crucial factors affecting the quality of neutrons output from Chinese. Spallation Neutron Source (CSNS), which may contribute to the optimization design of Decoupled Poisoned Hydrogen Moderator (DPHM). …”
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Flow Modeling in Pelton Turbines by an Accurate Eulerian and a Fast Lagrangian Evaluation Method by A. Panagiotopoulos, A. Židonis, G. A. Aggidis, J. S. Anagnostopoulos, D. E. Papantonis

“…Some commercial and open-source CFD codes, which implement Eulerian methods, have been validated against experimental results showing satisfactory accuracy. …”
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Inversion Method for Permitting Loadings of Pollutant from Lateral Effluents Based on Adjoint Equations by SHI Xiaoyan, ZHANG Hong, TAO Chunhua, LU Lingjiang, WAN Xin, LIU Zhaowei

“…However, optimization objectives that rely on discrepancies between predicted and observed concentrations cannot be directly applied to determine the permissible loadings, limiting the application of the adjoint equation method to this issue. …”
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Inversion Method for Permitting Loadings of Pollutant from Lateral Effluents Based on Adjoint Equations by SHI Xiaoyan, ZHANG Hong, TAO Chunhua, LU Lingjiang, WAN Xin, LIU Zhaowei

“…However, optimization objectives based on the discrepancies between predicted and observed concentrations cannot be straightforwardly employed for determining the permissible loadings, thus restricting the application of the adjoint equation method to this issue. …”
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Optimizing firm value : the role of managerial ownership, institutional ownership, intellectual capital and financial performance as moderating variables by Maulana Malik Ibrahim, Ridwan Nurazi

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Development of a highly sensitive reporter gene cell line for detecting estrogenic activity (the ER Isjaki assay) by Aline Colonnello Montero, Geeta Mandava, Agneta Oskarsson, Johan Lundqvist

“…Monitoring of estrogens in water sources faces significant challenges, as proposed changes in the European Union regulation for environmental protection of water bodies, compromise the ability of conventional analytical methods to detect low concentrations of estrogens. …”
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Optimization of ultrasound assisted extraction of the Sea buckthorn leaves, characterization of the phenolic compounds, and determination of bioactive properties of the extracts by Nora Pap, Pertti Marnila, Juha-Matti Pihlava, Jenni Tienaho

“…However, non-proper processing methods can result in a decrease of the beneficial properties. …”
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Design and Optimization of Collimator for Preclinical Single-photon Emission Computed Tomography Scanner: A Monte Carlo Study by Mohammad Mirdoraghi, Behnoosh Teimourian Fard, Olga Kochebina, Hojjat Mahani, Mohammad Reza Ay

“…Introduction: Small animal imaging has an extensive variety of applications, including the design and optimization of novel imaging devices. Monte Carlo (MC) simulations are enhanced due to their high accuracy. …”
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An Improved Migratory Birds Optimization Algorithm for Closed- Loop Supply Chain Network Planning in a Fuzzy Environment. by Yangjun Ren, Qiong Chen, Yui-Yip Lau, Maxim A Dulebenets, Mengchi Li, Botang Li, Mark Ching-Pong Poo, Pengfei Zhang

“…Based on the problem characteristics, a Migratory Birds Optimization Algorithm with a new product source encoding scheme is developed as a solution approach. …”
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Immunological AI Optimizer Deployment in a 330 MW Lignite-Fired Unit for NO_x Abatement by Konrad Świrski, Łukasz Śladewski, Konrad Wojdan, Xianyong Peng

“…The immunological AI optimizer adaptively models multi-variable interactions and fireball shape in real time, optimizing fuel–air mixing to reduce NO_x formation at the source. …”
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Joint Classification of Hyperspectral and LiDAR Data via Multiprobability Decision Fusion Method by Tao Chen, Sizuo Chen, Luying Chen, Huayue Chen, Bochuan Zheng, Wu Deng

“…Finally, the four CPMs are fused via a multiprobability decision fusion method to obtain the optimal classification results. …”
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