Improving Segmentation of MRI Images of Brain Glial Cells Using Fuzzy C-Means Algorithm and Combination of PET Images by Wei Wang, Wu Beibei

“…The Fuzzy C-means (FCM) algorithm is employed to cluster MRI images, which are then enhanced by applying PET-derived masks. …”
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Enhanced Wind Power Forecasting Using a Hybrid Multi-Strategy Coati Optimization Algorithm and Backpropagation Neural Network by Hua Yang, Zhan Shu, Zhonger Li

“…Evaluated on the CEC2017 benchmark, the SZCOA outperformed state-of-the-art algorithms, including ICOA, DBO, and PSO, achieving superior convergence speed and solution accuracy. …”
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Evaluation of machine learning algorithms in tunnel boring machine applications: a case study in Mashhad metro line 3 by Morteza Abbasi, Amir Hossein Namadchi, Mehdi Abbasi, Mohsen Abbasi

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Research on Arthroscopic Images Bleeding Detection Algorithm Based on ViT-ResNet50 Integrated Model and Transfer Learning by Zewen Liu, Shaoyi Zhou, Jianqiao Chu, Zhiyuan Chai, Dongdong Chang, Yi Yuan, Jinling Qin, Xiancheng Wang

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Composite Noise Reduction Method for Internal Leakage Acoustic Emission Signal of Safety Valve Based on IWTD-IVMD Algorithm by Shuxun Li, Xiaoqi Meng, Jianjun Hou, Kang Yuan, Xiaoya Wen

“…In view of the problem that the key parameters <i>K</i> and <i>α</i> in VMD decomposition are difficult to determine manually, the maximum Pearson coefficient is taken as the optimization target, and the improved dung beetle algorithm is used to optimize within the value range of <i>K</i> and <i>α</i>, so as to obtain the IVMD algorithm. …”
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Flexibility in load demand and PHEV parameters for clean and economic microgrid operation by Bishwajit Dey, Srikant Misra, Arnab Pal

“…Furthermore, demand-side management (DSM) measures like load shifting and price-based demand response (PBDR) help to improve the economic performance of MG systems. …”
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Super-Exponential Approximation of the Riemann–Liouville Fractional Integral via Gegenbauer-Based Fractional Approximation Methods by Kareem T. Elgindy

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An improved performance model for artificial intelligence-based diabetes prediction by Ugwu Hillary Okwudili, Oparaku Ogbonna Ukachukwu, V. C. Chijindu, Michael Okechukwu Ezea, Buhari Ishaq

“…By integrating these algorithms into an ensemble framework, this study effectively mitigated their individual limitations, leading to a more accurate and improved reliable prediction model. …”
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Physics-informed deep learning model for line-integral diagnostics across fusion devices by Cong Wang, Weizhe Yang, Haiping Wang, Renjie Yang, Jing Li, Zhijun Wang, Yixiong Wei, Xianli Huang, Chenshu Hu, Zhaoyang Liu, Xinyao Yu, Changqing Zou, Zhifeng Zhao

“…The incorporation of the PILF has been shown to correct the model’s predictions, bringing the back-projections closer to the actual inputs and reducing the errors associated with inversion algorithms. Besides, we have developed a synthetic data model to generate customized line-integral diagnostic datasets and have also collected soft x-ray diagnostic datasets from EAST and HL-2A. …”
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A Deep Learning Method for Pneumoconiosis Staging on Chest X-Ray Under Label Noise by Wenjian Sun, Dongsheng Wu, Jiang Shen, Yang Luo, Hao Wang, Li Min, Chunbo Luo

“…For the samples in &#x2018;confident&#x2019; subset, we specifically design a novel soft label relaxation learning strategy (SLRL) to mine the explicit features and overcome the overfitting problem caused by traditional one-hot labels. …”
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Proposed Long Short-Term Memory Model Utilizing Multiple Strands for Enhanced Forecasting and Classification of Sensory Measurements by Sotirios Kontogiannis, George Kokkonis, Christos Pikridas

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Climatic variables determining <i>Rhododendron</i> sister taxa distributions and distributional overlaps in the Himalayas by Madan Krishna Suwal, Ole Reidar Vetaas

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Generation of Dimensioned Floor Plans for a Given Boundary Layout by Pinki Pinki, Krishnendra Shekhawat, Dipam Goswami, Ujjwal Jain

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Art and Language After AI by Anil Bawa-Cavia

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SwinLightGAN a study of low-light image enhancement algorithms using depth residuals and transformer techniques by Min He, Rugang Wang, Mingyang Zhang, Feiyang Lv, Yuanyuan Wang, Feng Zhou, Xuesheng Bian

“…Abstract Contemporary algorithms for enhancing images in low-light conditions prioritize improving brightness and contrast but often neglect improving image details. …”
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Design and Implementation of Low-Complexity Multiple Symbol Detection Algorithm Using Hybrid Stochastic Computing in Aircraft Wireless Communications by Yukai Liu, Rongke Liu, Kairui Tian, Zheng Lu, Ling Zhao

“…The Multiple Symbol Detection (MSD) algorithm can effectively lower the demodulation threshold in Frequency Modulation (FM) technology, which is widely used in aircraft wireless communications due to its insensitivity to large Doppler shifts. …”
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Combined single- and dual-energy CT workflow for dose calculation in radiotherapy by Hella Sand, Jens Edmund, Ane Appelt, Patrick Wohlfahrt, Vicki Trier Taasti, Laurids Østergaard Poulsen, Jimmi Søndergaard, Martin Skovmos Nielsen

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Multi-Strategy Enhanced Parrot Optimizer: Global Optimization and Feature Selection by Tian Chen, Yuanyuan Yi

“…Optimization algorithms are pivotal in addressing complex problems across diverse domains, including global optimization and feature selection (FS). …”
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Enhanced Multiphase Interleaved Boost Converter Interface for Grid-Connected PV Power System by Rasha Kassem, Nagwa F. Ibrahim, Mohamed Metwally Mahmoud, Abdulaziz Alkuhayli, Usama Khaled, Abderrahmane Beroual, Hedra Mahfouz Ibrahim Saleeb

“…The suggested converter regulates the input and output power by modulating the phase shift in the pulse width modulation (PWM) technique using the maximum power point tracking (MPPT) algorithm via two closed feedback loops, one for a slower external loop and the other for a faster PWM control internal loop, similar to current mode control. …”
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Detection of GenAI-produced and student-written C# code: A comparative study of classifier algorithms and code stylometry features by Adewuyi Adetayo Adegbite, Eduan Kotzé

“…This study tested the ability of six classifier algorithms to detect GenAI C# code and to distinguish it from C# code written by students at a South African university. …”
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