Autonomous platform for solution processing of electronic polymers by Chengshi Wang, Yeon-Ju Kim, Aikaterini Vriza, Rohit Batra, Arun Baskaran, Naisong Shan, Nan Li, Pierre Darancet, Logan Ward, Yuzi Liu, Maria K. Y. Chan, Subramanian K.R.S. Sankaranarayanan, H. Christopher Fry, C. Suzanne Miller, Henry Chan, Jie Xu

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Legendre based neural networks integrated with heuristic algorithms for the analysis of Lorenz chaotic model: an intelligent and comparative study by Khalid Masood, Muhammad Arshad, Muhammad Abubakar, Muhammad Naeem Aslam, Mohammed A. Alghamdi, Sultan H. Almotiri

“…Abstract The optimal control methods for managing Lorenz model are achieved using an innovative intelligent computing framework that integrates artificial neural networks with stochastic unsupervised learning-based optimizers, specifically Firefly (FA) and Archimedes algorithm (AOA). …”
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Speckle-Driven Unsupervised Despeckling for SAR Images by Fuyu Bo, Xiaole Ma, Shaohai Hu, Gaoyun An, Yidong Li, Yigang Cen

“…Therefore, reducing speckle noise in SAR images is a crucial step. Recently, deep-learning-based methods have demonstrated impressive performance in SAR image despeckling. …”
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Exploration and Practice of Classification Indexing Combined with Large Language Models by JIANG Peng, REN Yan, ZHU Beiling

“…On this basis, the actual indexing workflow is optimized to increase the systematicity and coherence of the indexing work, ensuring that every step from document input to final classification is more efficient and accurate. …”
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Toward Building Model of Business Closure Intention in SMEs: Binomial Logistic Regression by Gelmar García-Vidal, Alexander Sánchez-Rodríguez, Laritza Guzmán-Vilar, Reyner Pérez-Campdesuñer, Rodobaldo Martínez-Vivar

“…Recognizing closure intention as a rational, strategic step challenges the stigma surrounding exit and links financial distress and the strategic exit theory. …”
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Puisi Bertema Corona Karya Joko Pinurbo Sebagai Bahan Ajar Kontekstual Menulis Puisi by Andriyana Andriyana, Arip Hidayat

“…<p><em>This study aims to describe the value of contextuality with a one-step analysis of the sociology of literature from extrinsic elements and intrinsic elements. …”
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Levenberg-Marquardt Algorithm-Based Neural Network Smart Control Strategy for a Low-Input Current Ripple and High-Voltage Gain Power Converter in Fuel-Cells Energy Systems by Mustafa Ozden, Davut Ertekin, Pierluigi Siano

“…This study introduces a high-gain DC-DC step-up converter that incorporates a continuous input current cell and a switched capacitor voltage-boosting output cell to address these requirements. …”
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Detection of Seed Potato Sprouts Based on Improved YOLOv8 Algorithm by Yufei Li, Qinghe Zhao, Zifang Zhang, Jinlong Liu, Junlong Fang

“…In this paper, a lightweight deep learning algorithm, YOLOv8_EBG, is proposed to both improve the detection performance and reduce the model parameters. …”
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SDNet: Sandwich Decoder Network for Waterbody Segmentation in Remote Sensing Imagery by Hao Ni, Jianfeng Li, Chenxu Wang, Zhiquan Zhou, Xinsheng Wang

“…SDNet introduces a two-step SA strategy to selectively aggregate spatial features and a sparse-tight pattern fusion module to capture context across various manipulation spaces, enhancing axial and space information fusion. …”
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Fusion of BIM and SAR for Innovative Monitoring of Urban Movement – Towards 4D Digital Twin by C.-H. Yang, C. Stemmler, N. Wolf, M. Koppe, T. Rudolph, A. Müterthies

“…They are integrated into the BIM models for various self-contained units like fa&ccedil;ades and roofs. This fusion step is implemented by machine learning, employing a novel distance metric adapted through dimensionality reduction. …”
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Geographic Named Entity Matching and Evaluation Recommendation Using Multi-Objective Tasks: A Study Integrating a Large Language Model (LLM) and Retrieval-Augmented Generation (RAG... by Jiajun Zhang, Junjie Fang, Chengkun Zhang, Wei Zhang, Huanbing Ren, Liuchang Xu

“…Geographical named entity matching, a crucial step in address encoding, aims to enhance address resolution accuracy through the precise identification and linkage of geographical named entity data. …”
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Robust Adversarial Example Detection Algorithm Based on High-Level Feature Differences by Hua Mu, Chenggang Li, Anjie Peng, Yangyang Wang, Zhenyu Liang

“…The threat posed by adversarial examples (AEs) to deep learning applications has garnered significant attention from the academic community. …”
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LLM-based intelligent Q&A system for railway locomotive maintenance standardization by Ao Chen, Ye Tian, Jinyi Zhang, Chen Li, Huiyuan Zhang

“…Abstract The standardization of locomotive maintenance data is a critical step in facilitating reliability centered maintenance (RCM) data analysis for locomotive maintenance. …”
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Designing clinical guidelines that improve access and satisfaction in the emergency department by Neha Pondicherry, Hope Schwartz, Nicholas Stark, Jaskirat Dhanoa, David Emanuels, Malini Singh, Christopher R. Peabody

“…This article describes a replicable, evidence‐based design‐thinking approach to developing best practices for guideline design that improves clinical satisfaction and usage. We used a 5‐step process to enhance guideline usability in our ED. …”
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Optimal Statistical Feature Subset Selection for Bearing Fault Detection and Severity Estimation by Chhaya Grover, Neelam Turk

“…The performance of bearing fault detection systems based on machine learning techniques largely depends on the selected features. …”
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Application of descriptive statistics for the analysis of student test results by H.V. Marchuk, V.L. Levkivskyi, V.A. Suhoniak, I.V. Panarina

“…Based on the obtained results, it is possible to develop recommendations for improving educational methods and approaches that will contribute to improving the quality of the educational process. These steps are important for creating an adaptive and effective learning environment that meets the modern requirements and challenges of the educational process. …”
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Network modelling of avalanche dynamics in Ag-hBN memristor by Vivek Dey, Steffen Kampmann, Ankit Rao, Rafael Gutierrez, Gianaurelio Cuniberti, Pavan Nukala

“…Hence, they can serve as promising platforms to test whether such correlated noise brings any advantage in performing low power learning tasks. These systems are characterized by spatiotemporal avalanches and their crackling behavior, and developing robust physical modeling of them is a crucial step in understanding their computing abilities. …”
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Analytical first-screening of distributed generation hosting capacity via extreme-value theory by Xin Ma, Han Wu, Yue Yuan, Wenhui Shi, Yuehui Huang

“…Conventional optimization and machine learning approaches often require high-resolution data and need substantial computational costs, making them impractical for engineering timelines. …”
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An Intelligent Passenger Flow Prediction Method for Pricing Strategy and Hotel Operations by Tianyang Wang

“…Predicting the future demand of a hotel is a key step in the process of hotel revenue management. …”
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Dynamic stages of personality adjustment: language switching and acculturation in first-generation Chinese immigrants by Xin Chen

“…Data were analyzed following Moustakas’s four-step psychological phenomenology framework, with thematic analysis performed using NVivo software. …”
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