Zhu, F., Luo, G. Q., Liao, Z., Dai, X. W. & Wu, K. Compact dual-mode bandpass filters based on half-mode substrate-integrated waveguide cavities. IEEE Microw. Wirel. Comp. Lett. 31 (5), 441–444 (2021).
Category: 7. Maths
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A numerical study of the relevance of the electrode-tissue contact area in the application of soft coagulation
To investigate the research question, a multiphysical finite element (FE) simulation model was developed in COMSOL Multiphysics®(2023)20, based on fundamental physical equations. This model simulates the application of monopolar ex vivo tissue…
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A real-time predictive postural control system with temperature feedback
Data acquisition
The experiment recruited 30 volunteers (13 females and 17 males, 10 of whom were over 50 years old) with an average age of 34.2 years. All volunteers were in good health before participating in the test, with no known…
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Graph theoretic and machine learning approaches in molecular property prediction of bladder cancer therapeutics
Regression analysis is a foundational tool in statistics and machine learning used to explore and quantify relationships between variables. Among the most widely used approaches are linear and cubic regression models, each serving distinct…
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A fully annotated pathology slide dataset for early gastric cancer and precancerous lesions
Data quality assessment
To comprehensively assess the quality of all slides in the dataset, we employed GrandQC39, a recently proposed state-of-the-art quality control tool for digital pathology. This tool enables high-precision artifact detection…
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ProWaste for proactive urban waste management using IoT and machine learning
Wire, B. Smart waste management systems global market report 2022: Growing volume of e-waste driving adoption worldwide—https://www.researchandmarkets.com/ (2022).
Silva, B. N., Khan, M. & Han, K. Towards sustainable smart cities: A review of…
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Predictive modeling of oil rate for wells under gas lift using machine learning
Ensemble learning
The proposed method employs an advanced ensemble learning framework, which merges the predictions of multiple, diverse machine learning algorithms to achieve improved predictive performance and model robustness. Ensemble learning…
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A text mining-based approach for comprehensive understanding of Chinese railway operational equipment failure reports
The overarching architecture of the model
In this study, the text sequences are preprocessed for NER using the BERT model. Rich features at the word level, encompassing syntax and semantics, are extracted from the sequences and subsequently…
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Salvador Urban Network Transportation (SUNT): A Landmark Spatiotemporal Dataset for Public Transportation
This section describes the steps taken to create the SUNT dataset. First, we present in detail the data collected from four distinct public transportation sources. We then explain the use of the Trip Chaining approach to integrate these data…
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A hybrid deep learning model for sentiment analysis of COVID-19 tweets with class balancing
The proposed methodology for sentiment analysis of COVID-19 tweets follows a structured pipeline encompassing preprocessing, data balancing, feature extraction, model training, and performance evaluation, as illustrated in Fig. 1. Initially, raw…
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