A brief exploration of open-source gradient-based numerical optimization Python libraries for full-waveform inversion by Oscar Mojica

“…Python's capabilities make it particularly useful for seismic full waveform inversion (FWI), which can see its implementation time reduced by making use of its extensive library collection. We compare four open-source gradient-based optimization Python packages - scipy.optimize, sotb-wrapper, NLopt, and PyROL - for solving the FWI optimization problem. …”
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BG-YOLO: A Bidirectional-Guided Method for Underwater Object Detection by Ruicheng Cao, Ruiteng Zhang, Xinyue Yan, Jian Zhang

“…The shallow feature map of the trained image enhancement branch is output to the feature-guided module, constraining the optimization of the object detection branch through consistency loss and prompting the object detection branch to learn more detailed information about the objects. …”
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Dynamic content-cached satellite selection and routing for power minimization in LEO satellite networks by Jeongmin Seo, Dongho Ham, Jeongho Kwak

“…To solve this long-term time-averaged problem, we leverage Lyapunov optimization framework to transform the original problem into a series of slot-by-slot problems. …”
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Structural Parameter Identification Using Multi-Objective Modified Directional Bat Algorithm by LIU Li-jun, LIN Ying-hai, SU Yong-hui, LEI Ying

“…The swarm intelligent optimization methods transform a complex problem of structural parameter identification into a constrained optimization problem. …”
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Electric Vehicle Energy Management Under Unknown Disturbances from Undefined Power Demand: Online Co-State Estimation via Reinforcement Learning by C. Treesatayapun, A. J. Munoz-Vazquez, S. K. Korkua, B. Srikarun, C. Pochaiya

“…This paper presents a data-driven energy management scheme for fuel cell and battery electric vehicles, formulated as a constrained optimal control problem. The proposed method employs a co-state network trained using real-time measurements to estimate the control law without requiring prior knowledge of the system model or a complete dataset across the full operating domain. …”
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A study of adaptive population sizing in a self-adaptive differential evolution by Haldi Budiman, Shir Li Wang, Theam Foo Ng, Amr S. Ghoneim, Haidi Ibrahim, Bahbibi Rahmatullah

“…Comparative analysis indicates that SAEDE-EP performs well in single-objective unconstrained optimization problems with various characteristics and solves 86% of the real-world single-objective constrained optimization, requiring less computational time and less exhaustive effort to set parameters.…”
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Smooth likelihood-based collision avoidance for polygon shaped and differential drive vehicles by Yang Zhou, Linjie Kong

“…The constrained optimal control problem is reformulated to improve the smoothness and efficiency. …”
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Enhancing Sink-Location Privacy in Wireless Sensor Networks through -Anonymity by Guofei Chai, Miao Xu, Wenyuan Xu, Zhiyun Lin

“…We model such a positioning problem as a nonlinearly constrained nonlinear optimization problem. …”
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Maximizing Energy Efficiency in IRS-Assisted Phase Cooperative PS-SWIPT-Based Self-Sustainable IoT Network by Haleema Sadia, Ahmad Kamal Hassan, Ziaul Haq Abbas, Ghulam Abbas, Thar Baker, Nasir Saeed

“…The EE maximization problem turns out to be NP-hard, so first, an alternating optimization (AO) is solved for the user’s network using heuristic BF approaches and phase optimization via semidefinite relaxation (SDR) approaches. …”
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Post-Quantum Cryptographic Frameworks for Internet of Things (IoT) and Internet of Medical Things (IoMT) Authentication Systems by Thomas L Barna, Samson Isaac, Christopher Habu, Saratu Habu, Abimbola A Joseph

“…This study presents a lightweight framework that combines lattice-based cryptography with adaptive optimization (QAuthIoMT) to ensure both quantum resilience and efficiency in constrained medical environments. …”
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SET: A Shared-Encoder Transformer Scheme for Multi-Sensor, Multi-Class Fault Classification in Industrial IoT by Kamran Sattar Awaisi, Qiang Ye, Srinivas Sampalli

“…Such faults can lead to significant operational problems, including false results, incorrect predictions, and misleading maintenance decisions. …”
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A Road Pricing Model for Congested Highways Based on Link Densities by Louis de Grange, Rodrigo Troncoso, Felipe González

“…The methodology solves a nonlinear constrained optimization problem whose objective function maximizes toll revenue or highway use (2 scenarios). …”
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A prediction rigidity formalism for low-cost uncertainties in trained neural networks by Filippo Bigi, Sanggyu Chong, Michele Ceriotti, Federico Grasselli

“…Based on the solution of a constrained optimization problem, this work proposes ‘prediction rigidities’ as a formalism to obtain uncertainties of arbitrary pre-trained regressors. …”
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POI recommendation by deep neural matrix factorization integrated attention-aware meta-paths by Xiaoyan Li, Shenghua Xu, Hengxu Jin, Zhuolu Wang, Yu Ma, Xuan He

“…Extensive experiments conducted on two real-world datasets demonstrate that the DNMF-AM outperforms the optimal baseline NeuMF-CAA by 4.24% and 5.04% in terms of HR@10 and NDCG@10, respectively.…”
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Research on Random Discrete Ordinates Method Based on Quasi-Monte Carlo Integration Technique by DAI Tao, XU Longfei, LI Baiwen, SHEN Huayun, HU Yuan, MA Ruiyao

“…Owing to its superior computational accuracy and efficiency compared to alternative numerical approaches, the SN method has been extensively adopted in neutron transport applications, particularly in nuclear reactor design and radiation shielding optimization. …”

Fourier Analysis of CMFD Method in Cylindrical Geometry by WEN Yuchen, HAO Chen, WANG Yizhen

“…While its convergence properties have been thoroughly established in Cartesian geometries, where the optical thickness of coarse meshes critically impacts acceleration performance that the extension of CMFD. While coarse meshes have been established in cylindrical geometry, it will face problem that the circumferential difference length gradually increase along radial direction, which also raise concerns about convergence stability. …”

Robust style injection for person image synthesis by Yan Huang, Jianjun Qian, Shumin Zhu, Jun Li, Jian Yang

“…Subsequently, source semantic styles are further injected into the positional normalisation scheme to avoid the fine style details erosion caused by massive convolution. In training losses, optimal transport theory in the form of energy distance is introduced to constrain data distribution to refine the texture style details. …”
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Salinity effect evaluation on the survival rate and hematology of snakeskin gourami juvenile Trichopodus pectoralis by Lies Setijaningsih

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