Adaptive hybrid hyperparameter optimization with MRFO and Lévy flight for accurate melanoma classification by Shamsuddeen Adamu, Hitham Alhussian, Said Jadid Abdulkadir, Ayed Alwadin, Sallam O. F. Khairy, Hussaini Mamman, Shamsu Abdullahi, Saidu Yahaya, Aliyu Garba, Dahiru Adamu Aliyu, Muhammad Muntasir Yakubu, Daniel Tonye Oyefidein

“…Abstract Hyperparameter optimization (HPO) is essential for deep learning in medical image classification, yet standard metaheuristics such as Manta Ray Foraging Optimization (MRFO) often suffer from premature convergence in high-dimensional search spaces. …”
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Optimization of Preparation Technology and Component Analysis of Ziziphi spinosae semen Formula Beverage by Yaonan CHEN, Lulu DONG, Yiran HENG, Hongyu LI, Yan YAN, Chenhui DU

“…The crude protein was determined using the Kjeldahl nitrogen determination method, while the amino acid content was analyzed with an automatic amino acid analyzer. …”
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Cloud-edge hybrid deep learning framework for scalable IoT resource optimization by Umesh Kumar Lilhore, Sarita Simaiya, Yogesh Kumar Sharma, Anjani Kumar Rai, S. M. Padmaja, Khan Vajid Nabilal, Vimal Kumar, Roobaea Alroobaea, Hamed Alsufyani

“…PPO enhances policies in continuous action spaces to guarantee reliable performance in real-time, dynamic IoT settings. This method achieves an optimal equilibrium between policy learning and optimisation, rendering it suitable for contemporary IoT systems. …”
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Optimal number of the examined lymph nodes for different N stages in colorectal cancer by Ye Tian, Xinyu Qiao, Gaozan Zheng, Hanjun Dan, Xinyu Dou, Guangming Ren, Liaoran Niu, Pengfei Wang, Siyuan Wang, Fengsu Wu, Yumao Yang, Jianyong Zheng, Fan Feng

“…The SEER database (n = 48,331) served as the primary cohort, while the Xijing cohort (n = 4447) was used for external validation. …”
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Multi-objective optimization and parameter sensitivity study on microreactor nuclear power systems by Ersheng You, Yiyi Li, Jianjun Xu, Dianchuan Xing, Haochun Zhang

“…Aiming at the MRNPS based on Brayton cycles, the particle swarm optimization (PSO) method was used to carry out the optimization calculation and analysis of three target parameters: system thermal efficiency, power-to-weight ratio and radiator heat removal area. …”
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An Operation Optimization Strategy of the Combined Power Generation System with Wind Power & Pumped Storage Based on Improved Whale Algorithm by LI Kecheng, YANG Ning

“…Select the appropriate solution from the obtained optimal solution set to obtain the operation optimization strategy of the combined power generation system, which can achieve better economic benefits and maximum wind energy utilization while smoothing the system output power.…”
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Complexity synchronization analysis of neurophysiological data: Theory and methods by Ioannis Schizas, Sabrina Sullivan, Scott Kerick, Korosh Mahmoodi, J. Cortney Bradford, David L. Boothe, Piotr J. Franaszczuk, Piotr J. Franaszczuk, Paolo Grigolini, Bruce J. West, Bruce J. West

“…IntroductionWe present a theoretical foundation based on the spontaneous self-organized temporal criticality (SOTC) and multifractal dimensionality μ to model complex neurophysiological and behavioral systems to infer the optimal empirical transfer of information among them. …”
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Comparison of contact tracing methods: A modelling study by Joanna X.R. Tan, Lalitha Kurupatham, Zubaidah Said, Jeremy Chan, Kelvin Bryan Tan, Marc Ho, Vernon Lee, Alex R. Cook

“…Adapting contact tracing methods to the situation can optimize disease control. …”
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Identification of Natural Sloshing Frequency in a Rectangular Tank Under Surge Excitation Using Coupled Eulerian–Lagrangian Method and Impulse Excitation Method by Su-Hyun Park, Young Il Park, Taehyun Yoon, Jeong-Hwan Kim

“…By analyzing the system’s response to an impulse excitation, we extracted the dominant sloshing frequencies while considering the impact of baffles on fluid dynamics. …”
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Improved Block Element Method for Simulating Rock Failure by Yan Han, Qingwen Ren, Lei Shen, Yajuan Yin

“…As the innovation of this work, the iterative algorithm is combined with polygonal geometric features so that the area–perimeter fractal dimension can be introduced to optimize random Voronoi grids. The iterative control index can effectively improve the geometric characteristics of the grid while maintaining the necessary randomness. …”
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Application of the digital annealer unit in optimizing chemical reaction conditions for enhanced production yields by Shih-Cheng Li, Pei-Hua Wang, Jheng-Wei Su, Wei-Yin Chiang, Tzu-Lan Yeh, Alex Zhavoronkov, Shih-Hsien Huang, Yen-Chu Lin, Chia-Ho Ou, Chih-Yu Chen

“…Our results suggest that the performance of models is comparable to classical machine learning (ML) methods (i.e., Random Forest and Multilayer Perceptron (MLP)), while the inference time of our models requires only seconds with a DAU. …”
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Optimal Coordination of Directional Overcurrent Relays Using an Innovative Fractional-Order Derivative War Algorithm by Bakht Muhammad Khan, Abdul Wadood, Herie Park, Shahbaz Khan, Husan Ali

“…Comparative evaluations reveal that FODWO outperforms other state-of-the-art nature-inspired algorithms and traditional optimization methods, making it a highly effective tool for DOCR coordination in EPSs.…”
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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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Task-Based Optimization of CT Trajectories Using a Learned Defect Visibility Metric by Linda-Sophie Schneider, Anshul Dhingra, Andreas K. Maier

“…Our results demonstrate that this method effectively optimizes CT trajectories by focusing on predefined regions of interest and provides a practical solution for efficient, cost-effective CT imaging in real-world applications. …”
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Multiphysics coupling analysis and structure optimization of flux switching permanent magnet linear motors by Wei Du, Lili Sun, Zengqiang Ma

“…Topology optimization methods are implemented to achieve significant mass reduction while preserving essential performance characteristics, with the bidirectional evolutionary structural optimization approach achieving 22.4% weight reduction. …”
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Minimizing System Entropy: A Dual-Phase Optimization Approach for EV Charging Scheduling by Wenpeng Yuan, Lin Guan

“…To address the electric vehicle (EV) charging scheduling problem in rural distribution networks, this study proposes a novel two-phase optimization strategy that combines particle swarm optimization (PSO) and Q-learning for global optimization and real-time adaptation. …”
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Bayesian optimized deep learning and ensemble classification approach for multiclass plant disease identification by Silpa Padmanabhuni, Pradeepini Gera

“…Abstract Early detection of plant diseases is crucial in smart agriculture to prevent significant crop losses and reduce reliance on chemical pesticides. While many existing methods leverage customized neural network architectures or transfer learning, they often suffer from limited accuracy, model interpretability, and dataset imbalance. …”
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Optimal features assisted multi-attention fusion for robust fire recognition in adverse conditions by Inam Ullah, Nada Alzaben, Yousef Ibrahim Daradkeh, Mi Young Lee

“…Extensive comparisons against twelve SOTA approaches confirm AEFRN’s effectiveness for fire detection in challenging scenarios while maintaining computational efficiency suitable for practical deployment.…”
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Exploring Optimal Strategies for Small Hydro Power Forecasting: Training Periods and Methodological Variations by Duarte Lopes, Isabel Preto, David Freire

“…Results highlight the “K-Means Alike” approach, which, with a 2-month training period, outperforms conventional methods, offering enhanced accuracy while minimizing computational resources. …”
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Augmented secretary bird optimization algorithm for wireless sensor network deployment and engineering problem. by Qingwen Meng, Xi Kuang, Zihan Yu, Minghui He, Hanzhi Cui

“…In the engineering problems, ASBOA consistently outperformed competing methods, while in the WSN deployment scenario, it achieved a coverage rate of 88.32%, an improvement of 1.12% over the standard SBOA. …”
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