Visual analysis of LLM-based entity resolution from scientific papers by Siyu Wu, Yi Yang, Weize Wu, Ruiming Li, Yuyang Zhang, Ge Wang, Huobin Tan, Zipeng Liu, Lei Shi

“…With the advent of large language models (LLMs) such as GPT-4, significant improvements over conventional machine learning approaches have been achieved due to LLM’s capability on entity resolution integrate abilities such as understanding multiple types of text. This research introduces a new visual analysis pipeline that integrates these advanced LLMs with versatile visualization and interaction designs to support batch entity resolution. …”
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Implications of variability in triceps surae muscle volumes on peak lower limb muscle forces during human walking. by Christine M Harper, Adam D Sylvester, Patricia Ann Kramer

“…Maximum muscle forces were calculated using inverse dynamics and an algorithm to solve the muscle redundancy problem in the AnyBody Modeling System. …”
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Cluster-network interaction as a management tool for health tourism market in a regional economy by Матвей Оборин

“…Scientific, theoretical, and statistical analysis, modeling of cluster-network interaction are the key research methods. The official Rosstat data about tourism and health services were the information resources for the study. …”
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Fractional Impervious Surface Mapping on Multispectral Images With Visible Shadows via a Bundle-Based Sparse Unmixing Model by Yanze Liu, Dacheng Li, Wei Xiong, Qijin Han, Lingling Ma

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What can we learn about multi-hazard impacts from global disaster records? by W. S. Jäger, M. C. de Ruiter, T. Tiggeloven, P. J. Ward, P. J. Ward

“…The uncertainties and limitations encountered in our study highlight the need for future research to improve data on multi-hazards and their impacts.…”
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Nav2Scene: Navigation-driven fine-tuning for robot-friendly scene generation by Bowei Jiang, Tongyuan Bai, Peng Zheng, Tieru Wu, Rui Ma

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CFD method for the effect of baffle locations and baffle lengths on the hydraulic characteristics of a horizontal sedimentation tank by T. Zhang, W. Wei, Y. Hong, J. Wang, J. Zhang, Y. Pei, Q. Li

“…The research results can provide a certain reference for the optimization of design of similar horizontal sedimentation tanks.…”
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Distributed Robust Low-Carbon Economic Dispatch of Power Systems Considering Extreme Scenarios by HU Heng, QIN Jianru, LI Haibo, LIU Jiefeng

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Evaluating the feasibility of 12-lead electrocardiogram reconstruction from limited leads using deep learning by Oriana Presacan, Alexandru Dorobanţiu, Jonas L. Isaksen, Tobias Willi, Claus Graff, Michael A. Riegler, Arun R. Sridhar, Jørgen K. Kanters, Vajira Thambawita

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Time–frequency ensemble network for wind turbine mechanical fault diagnosis by Haiyu Guo, Xingzheng Guo, Xiaoguang Zhang, Fanfan Lu, Chuang Liang

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Shortest-path network analysis is a useful approach toward identifying genetic determinants of longevity. by J R Managbanag, Tarynn M Witten, Danail Bonchev, Lindsay A Fox, Mitsuhiro Tsuchiya, Brian K Kennedy, Matt Kaeberlein

“…To date, however, targeted efforts at identifying longevity-associated genes have been limited by a lack of predictive power, and useful algorithms for candidate gene-identification have also been lacking.…”
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Integrating Machine Learning and Multi-Objective Optimization in Biofuel Systems: A Review by Ivan P. Malashin, Dmitry A. Martysyuk, Vadim S. Tynchenko, Andrei P. Gantimurov, Vladimir A. Nelyub, Aleksei S. Borodulin

“…This review synthesizes key advancements in biofuel optimization, highlighting the use of techniques such as Artificial Neural Networks (ANN), Genetic Algorithms (GA), Non-Dominated Sorting Genetic Algorithm II (NSGA-II), and Response Surface Methodology (RSM). …”
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DA-YOLOv7: A Deep Learning-Driven High-Performance Underwater Sonar Image Target Recognition Model by Zhe Chen, Guohao Xie, Xiaofang Deng, Jie Peng, Hongbing Qiu

“…Affected by the complex underwater environment and the limitations of low-resolution sonar image data and small sample sizes, traditional image recognition algorithms have difficulties achieving accurate sonar image recognition. …”
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Spatio-temporal evolution of land subsidence and susceptibility zonation of associated ground fissures in the urban area of loess plateau: a case in Xianyang city, China by Yuemin Sun, Jiewei Zhan, Fei Qiang, Quanzhong Lu, Cong Liu, Zhaowei Yao, Jianbing Peng

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Development of intelligent controller for high performance electric drives with hybrid CSA and RERNN technique by J. Prabhakaran, P. Thirumoorthi, M. Mathankumar, S. P. Mangaiyarkarasi

“…Abstract Electric drives play a crucial role in various industrial applications, requiring precise control and adaptability to changing parameters. This research proposes a hybrid approach combining Circle Search Algorithm (CSA) and Recalling-Enhanced Recurrent Neural Network (RERNN), termed CSA-RERNN, for intelligent controller-fed electric drives. …”
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Application of Naive Bayes and Forward Chaining Methods in a Web-Based Expert System for Stunting Diagnosis in Toddlers by Ayu Fadilah, Raissa Amanda Putri

“…This method is a probability-based algorithm that is used to classify the possibility of a condition based on existing symptoms. …”
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An NSCT-Based Multifrequency GPR Data-Fusion Method for Concealed Damage Detection by Junfang Wang, Xiangxiong Li, Huike Zeng, Jianfu Lin, Shiming Xue, Jing Wang, Yanfeng Zhou

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Methods for Building Successful chatbot Communication in the Discourse of Sales in the Field of Digital Goods (Mobile Phones) on the Example of English and Russian Language Materia... by A. A. Smirnova

“…As a result of the study, the article presents not only possible communication models that function in the discourse of sales in the field of digital goods (cell phones), as well as leading the greatest number of speech contacts to success, but also a universal algorithm for parsing chatbot communication in other discourses. …”
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COMPREHENSIVE CREDIT RISK ASSESSMENT OF UKRAINIAN BANKS by Larysa Hrytsenko, Liudmyla Pavlenko, Iryna Kozhushko, Onur Erişen

“…A promising area for further research is the study of the possibilities of introducing digital tools for monitoring, controlling and preventing the growth of credit risk in banks. …”
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Self-Organizing TDMA: A Distributed Contention-Resolution MAC Protocol by Mahsa Derakhshani, Yahya Khan, Duc Tuong Nguyen, Saeedeh Parsaeefard, Atoosa Dalili Shoaei, Tho Le-Ngoc

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