Structured Summarization of League of Legends Match Data Optimized for Large Language Model Input by Jooyoung Kim, Wonkyung Lee, Jungwoon Park

“…Large-scale match data from esports games like League of Legends are stored in complex JSON files that often exceed the input token limitations of large language models (LLMs), restricting advanced analysis and applications such as automated commentary and strategic insight generation. …”
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Enhanced Software Testing Model Under Software Warranty Policy Considering Debugger Learning and Time Postponement Factors by Wang Li, Chih-Chiang Fang

“…This allows for the selection of the most effective option. The model takes into account the learning curve, which can significantly impact the efficiency of the software testing process. …”
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Spectrum Allocation and Power Control Based on Newton’s Method for Weighted Sum Power Minimization in Overlay Spectrum Sharing by Yang Yu, Xiaoqing Tang, Guihui Xie

“…Maximizing weighted sum energy efficiency (WSEE) requires solving complex multiple-ratio fractional programming (FP) problems. …”
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Automated Extraction of Pipe Geometry Using SAM for Mixed Reality Inspection Tasks by S. Einizinab, S. Einizinab, K. Khoshelham, K. Khoshelham, S. Winter, P. Christopher, P. Christopher

“…Accurate detection and measurement of building elements are essential for efficient automated inspection and quality assessment in construction. …”
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Robust Radio Frequency Fingerprinting With Signal Denoising and Stacked Multivariate Ensemble Learning for Secure Wireless Communications by Syed Usman Ali Shah, Muhammad Usama Zahid, Syed Abuzar H Shah, Saeed Ur Rehman, Dan Komosny

“…Radio Frequency Fingerprinting (RFF) has gained significant attention in wireless communication and security research due to its potential for device authentication and intrusion detection. While deep learning-based approaches have shown promising results, existing methods suffer from critical limitations: high computational complexity hinders real-time deployment on resource-constrained hardware, poor robustness under low Signal-to-Noise Ratio (SNR) conditions, and inadequate generalization across different datasets. …”
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Surrogate-assisted global and distributed local collaborative optimization algorithm for expensive constrained optimization problems by Xiangyong Liu, Zan Yang, Jiansheng Liu, Junxing Xiong, Jihui Huang, Shuiyuan Huang, Xuedong Fu

“…Traditional optimization algorithms often struggle to balance the efficiency of global and local searches, especially when dealing with high-dimensional and complex constraint conditions. …”
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Potential use of saliva infrared spectra and machine learning for a minimally invasive screening test for congenital syphilis in infants by Deise Cristina Dal’Ongaro, Cicero Cena, Bruno Spolon Marangoni, Daniele A. Soares-Marangoni

“…Abstract Congenital syphilis is a global public health issue, and its diagnostic complexity poses a challenge to early treatment. Fourier Transform Infrared Spectroscopy (FTIR) is a promising technological tool that facilitates the detection and diagnosis of various diseases by providing information on the biochemical composition of biofluids, including saliva. …”
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An Optimization Algorithm for Forward-Scatter Radar Network Node Deployment Based on BFGS and Improved NSGA-II by Yuqing Zheng, Xiaofeng Ai, Zhiming Xu, Jing Wu, Feng Zhao

“…A multi-objective optimization model was subsequently established with the objective functions of minimizing node cost and maximizing spatial detection area. Second, a method based on the Broyden–Fletcher–Goldfarb–Shanno (BFGS) algorithm was introduced to obtain the sub-optimal solution of node cost, thereby reducing the computational complexity of the optimization process. …”
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KEDM: Knowledge-Embedded Diffusion Model for Infrared Image Destriping by Lingxiao Li, Xin Wang, Dan Huang, Yunan He, Zhuqiang Zhong, Qingling Xia

“…Specifically, LDM leverages a pretrained variational autoencoder (VAE) to transform the input image into latent feature space for efficient diffusion propagation, reducing computational complexity while preserving image restoration quality. …”
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The Implementation of the Askisi-SD Neuropsychological Web-Based Screener: A Battery of Tasks for Screening Cognitive and Spelling Deficits of Children by Nikolaos C. Zygouris, Eugenia I. Toki, Filippos Vlachos, Stefanos K. Styliaras, Nikos Tziritas

“…The web-based nature of the screener enables scalable and standardized administration, making it a practical and efficient tool for the early identification of spelling difficulties in children.…”
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A comparison of statistical methods for deriving occupancy estimates from machine learning outputs by Lydia K. D. Katsis, Tessa A. Rhinehart, Elizabeth Dorgay, Emma E. Sanchez, Jake L. Snaddon, C. Patrick Doncaster, Justin Kitzes

“…The inability to determine stable parameter choices a priori, coupled with the increased computational complexity of several models (i.e. the detection-count and continuous-score models), limits the practical application of false-positive models. …”
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Exploring sustainable strategies for mitigating microplastic contamination in soil, water, and the food chain: A comprehensive analysis by Udaratta Bhattacharjee, Kamal Narayan Baruah, Maulin P. Shah

“…Further, the article suggests a cost effective, efficient, and sustainable strategy to intercept MPs infiltration in the food chain and establish practical data applicability in real-life scenarios.…”
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Comparative Analysis of Classifiers for the Assessment of Respiratory Disorders Using Speech Parameters by Poonam Shrivastava, Neeta Tripathi, Bikesh Kumar Singh, Bhupesh Kumar Dewangan

“…The conclusion was that the proposed classifiers may provide an aid in the simple assessment of respiratory disorders utilising speech parameters with high efficiency. In the future, the proposed approach can be evaluated for the detection of specific respiratory disorders such as asthma, COPD, etc.…”
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Multi-modal action recognition via advanced image fusion techniques for cyber-physical systems by Zaiyong Shou, Daoyu Zhu

“…IntroductionThe increasing complexity of cyber-physical systems (CPS) demands robust and efficient action recognition frameworks capable of seamlessly integrating multi-modal data. …”
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Implementation of MF block in CNN for advanced REB fault diagnosis by M. Pandiyan, Narendiranath Babu T.

“…Furthermore, computational complexity analysis, including FLOPs estimation, was performed to assess real-time applicability. …”
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Empowering sentiment analysis in social media: a comprehensive approach to enhance the classification of abusive Tamil comments using transformer models by Malliga Subramanian, Sathishkumar Veerappampalayam Easwaramoorthy, Nandhini Subbarayan, Usha Moorthy

“…Of the models explored, the adapter-based mDeBERTa achieved the highest accuracy of 75.393%, validating the effectiveness of parameter-efficient transfer learning for abusive language detection in low-resource, code-mixed contexts.…”
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Research on Buckwheat Weed Recognition in Multispectral UAV Images Based on MSU-Net by Jinlong Wu, Xin Wu, Ronghui Miao

“…Targeting low detection efficiency in complex agricultural environments and inability of multispectral input in weed recognition of minor grain based on unmanned aerial vehicles (UAVs), a semantic segmentation model for buckwheat weeds based on MSU-Net (multispectral U-shaped network) was proposed to explore the influence of different band optimizations on recognition accuracy. …”
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Real-Time Progress Monitoring of Bricklaying by Ramez Magdy, Khaled A. Hamdy, Yasmeen A. S. Essawy

“…However, the level of automation and digitalization in the construction industry is still at its infancy in comparison with other industries due to the complex nature and the large size of construction projects. …”
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Contemplative Hermeneutics on John’s Epistemology Applied in the Public Square in the Context of Romanian Pentecostalism by Andrei-Daniel POP

“…The reason for choosing John’s epistemology through the statements “I am” to prove the superiority of contemplative hermeneutics, is the fact that John`s perspective offers a complex contemplative (epistemological) picture of the person of Jesus Christ. …”
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Construction of time series prediction and dynamic evaluation model for environmental factors in pregnant sow houses in winter by Xuehan Li, Jia Shen, Xiaoping Yang, Pengcheng Nie, Yiming Li, Zhe Li, Yawen Tan, Ziyi Li

“…Comparative analysis of the BiLSTM+Attention model with single-step single-task, single-step multi-task and multi-step single-task models reveals that the BiLSTM+Attention multi-step multi-task model not only maintains high accuracy but also effectively captures complex temporal dependencies among environmental factors, resulting in improved computational efficiency. …”
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