Research on the Construction and Application of Earthquake Emergency Information Knowledge Graph Based on Large Language Models by Wentao Zhou, Meng Huang, Shuai Liu, Qiao You, Fanxin Meng

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Research on ecological management zoning in Jilin Province based on a human well-being framework by Baihao Zhang, Jiafu Liu, Zhenyu Zhang, Yu Zhu

“…Abstract Taking Jilin Province in 2020 as the study area, this research categorizes ecosystem service supply and demand by integrating ecosystem service functions with a human well-being framework. …”
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Deep learning detects entire multiple-size lunar craters driven by elevation data and topographic knowledge by Liyang Xiong, Yanxiang Wang, Haoyu Cao, Yingchao Ren, Sijin Li, Yang Chen, Guoan Tang

“…Therefore, in this study, we propose a deep learning Crater Detection Algorithms (CDA), called Lunar Topographic Knowledge Attention U-Net (LTKAU-Net) that integrates a Digital Elevation Model (DEM) and topographic knowledge. …”
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Towards a New Taxonomy of Pattern-Making in the Visuo-Spatial Domain in Early Childhood Based on Zygonic Theory and the Sounds of Intent Framework of Musical Development by Adam Ockelford, Sarah McCarthy, Sue Gifford, Helen Thouless, Sharon Kirk, Michael Thorpe

“…An algorithm is used to demonstrate the structural processing load for different pattern types, which allows the putative developmental stages of pattern-processing capacity to be plotted sequentially. …”
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Short-term solar irradiance forecasting model based on hyper-parameter tuned LSTM via chaotic particle swarm optimization algorithm by V Ashok Gajapati Raju, Janmenjoy Nayak, Pandit Byomakesha Dash, Manohar Mishra

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GA-Attention-Fuzzy-Stock-Net: An optimized neuro-fuzzy system for stock market price prediction with genetic algorithm and attention mechanism by Burak Gülmez

“…The model's performance is evaluated across multiple temporal horizons using sliding windows (5-day, 10-day, 20-day) to capture varying market dynamics. Genetic algorithms optimize the hyperparameters, including learning rates and network architectures, while the attention mechanism enhances the model's ability to focus on relevant temporal patterns. …”
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Real defect partial discharge identification method for power cables joints based on integrated PJS-M and GA-SVM algorithm with multi-source fusion by Ling-Xuan Zhang, Yi-Yang Zhou, Shen-Jiong Yao, Jia-Luo Chai, Ying-Jing Chen, Zhou-Sheng Zhang

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Research on Feature Extraction of Indicator Card Data for Sucker-Rod Pump Working Condition Diagnosis by Yunhua Yu, Haitao Shi, Lifei Mi

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Research on Fault Feature Extraction Method for Hydroelectric Generating Unit Based on Improved FMD and CDEI by Tao Wu, Haipeng Gong, Zaiming Geng, Jian Deng, Fang Yuan

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Research on the security audit model in intrusion prevention based on write-related support vector data description by LUO Jun, PAN Zhi-song, MIAO Zhi-min, HU Gu-yu

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Thymic characteristics in patients with autoimmune diseases: a multicentre radiological observational studyResearch in context by Haoxiao Chang, Junqiang Yan, Anxin Wang, Ningning Wang, Peng Liu, Yemin Shi, Xin Zhao, Jinqiao Zhu, Yuan Cai, Xue Xia, Yunyi Hao, Shiyi Yin, Jing Wang, Xinli Wang, Lina Sun, Jia Ma, Xiaoyu Huang, Haonan Guan, De-Cai Tian, Kaibin Shi, Ganqin Du, Wenhao Huang, Guoyan Qi, Hao Li, Yongjun Wang, Fu-Dong Shi, Zhang Zhang, Wei-Na Jin

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Improvement the Back-propagation Technique by Nidhal AL-Assady, Baydaa Khaleel, Shahbaa Khaleel

“…This problem leads to search for improvements to speed up this algorithm. In this research we use several methods to speed up the EBP algorithm. …”
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Characterization of Multilayer Capacitive Sensor for Water Content Detection Application in Seaweed Drying Process Using Fast Fourier Transform (FFT) Algorithm by Andi Rosman N, Isdaryanti Isdaryanti

“…The research method consists of making the sensor, calibrating the sensor using the gravimetric method, and performing two measurement schemes, namely measuring changes in the ADC value of the sensor as a representation of the seaweed moisture content value and measuring changes in the frequency value of the sensor as a representation of the moisture content value using FFT algorithm. …”
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Textures Recognition using Elman Neural Network by Fawziya Ramo, Alaa Mohamed

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A study of government regulation’s strategy for solving the algorithmic black-box puzzle of digital platforms: a complex network-based perspective by Gehui Zhu, Mingliang Tang, Xiao Jian, Tong Mu

“…The small world model can effectively describe the connectivity between nodes (users, platforms, regulators, etc.) in the ecosystem of digital platforms, which helps researchers to understand the complexity of the network structure and the propagation pattern of information in the network and design more effective regulatory strategies. …”
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Revealing the heterogeneity of treatment resistance in less‐defined subtype diffuse large B cell lymphoma patients by integrating programmed cell death patterns and liquid biopsy by Wei Hua, Jie Liu, Yue Li, Hua Yin, Hao‐Rui Shen, Jia‐Zhu Wu, Yi‐Lin Kong, Bi‐Hui Pan, Jun‐Heng Liang, Li Wang, Jian‐Yong Li, Rui Gao, Jin‐Hua Liang, Wei Xu

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Survey on Backdoor Attacks on Deep Learning: Current Trends, Categorization, Applications, Research Challenges, and Future Prospects by Muhammad Abdullah Hanif, Nandish Chattopadhyay, Bassem Ouni, Muhammad Shafique

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Does advancement in marker-less pose-estimation mean more quality research? A systematic review by Shivam Bhola, Shivam Bhola, Hyun-Bin Kim, Hyeon Su Kim, BonSang Gu, Jun-Il Yoo, Jun-Il Yoo

“…Despite the emergence of state-of-the-art keypoint-detection algorithms, the extent to which these tools are employed and the nature of their application in scientific research has yet to be systematically documented. …”
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Accurately assessing congenital heart disease using artificial intelligence by Khalil Khan, Farhan Ullah, Ikram Syed, Hashim Ali

“…These ML-based models can help healthcare professionals identify high-risk infants and ensure timely and appropriate care. In addition, ML algorithms excel at detecting and analyzing complex patterns that can be overlooked by human clinicians, thereby enhancing diagnostic accuracy. …”
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EEG-Driven Arm Movement Decoding: Combining Connectivity and Amplitude Features for Enhanced Brain–Computer Interface Performance by Hamidreza Darvishi, Ahmadreza Mohammadi, Mohammad Hossein Maghami, Meysam Sadeghi, Mohamad Sawan

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