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Charlotte Wehner, Bradley Shirley, Garrett Mathesen, Julian Merrick, Brandon Weatherford and Emilio Alessandro Nanni
The manufacturing of active RF devices like klystrons is dominated by expensive and time-consuming cycles of machining and brazing. In this article, we characterize the RF properties of X-band klystron cavities and an integrated circuit manufactured with...
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Peranut Nimitsurachat and Peter Washington
Emotion recognition models using audio input data can enable the development of interactive systems with applications in mental healthcare, marketing, gaming, and social media analysis. While the field of affective computing using audio data is rich, a m...
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Chunhui Zhang, Wanyi Zhang, Chengjun Zhang, Liwei Zheng, Shiyi Yan, Yuanhao Ma and Wei Dang
Variations in solar insolation caused by changes in the Earth?s orbit?specifically its eccentricity, obliquity, and precession?can leave discernible marks on the geologic record. Astrochronology leverages these markers to establish a direct connection be...
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Hongfeng Gao, Tiexin Xu, Renlong Li and Chaozhi Cai
Because the gearbox in transmission systems is prone to failure and the fault signal is not obvious, the fault end cannot be located. In this paper, a gearbox fault diagnosis method grounded on improved complete ensemble empirical mode decomposition with...
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Dilip Kumar Roy, Mohamed Anower Hossain, Mohamed Panjarul Haque, Abed Alataway, Ahmed Z. Dewidar and Mohamed A. Mattar
This study addresses the crucial role of temperature forecasting, particularly in agricultural contexts, where daily maximum (????????
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Andrei Konstantinov, Lev Utkin and Vladimir Muliukha
This paper provides new models of the attention-based random forests called LARF (leaf attention-based random forest). The first idea behind the models is to introduce a two-level attention, where one of the levels is the ?leaf? attention, and the attent...
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Jinlong Wang, Dong Cui and Qiang Zhang
With sentiment prediction technology, businesses can quickly look at user reviews to find ways to improve their products and services. We present the BertBilstm Multiple Emotion Judgment (BBMEJ) model for small-sample emotion prediction tasks to solve th...
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Przemyslaw Sebastjan and Waclaw Kus
In this paper, the authors focus on presenting the methodology for tuning optimization algorithm parameters, with a special focus on evolutionary algorithm applications. The problem considered concerns the phenomenon of nonlinear buckling of the automoti...
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Guoli Ju, Shanhui Liu, Keliang Wei, Haodi Ding and Chaoyue Wang
Aiming at the problems of strong coupling and time-varying parameters in the tension systems of roll-to-roll coating machines, this paper outlines the design of a parameter self-tuning decoupling controller based on an improved active disturbance rejecti...
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Elena Martínez-Fernandez, Ignacio Rojas-Valenzuela, Olga Valenzuela and Ignacio Rojas
The diagnosis of different pathologies and stages of cancer using whole histopathology slide images (WSI) is the gold standard for determining the degree of tissue metastasis. The use of deep learning systems in the field of medical images, especially hi...
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