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Damianos P. Sakas, Nikolaos T. Giannakopoulos, Marina C. Terzi and Nikos Kanellos
Deep learning has experienced an increased demand for its capabilities to categorize and optimize operations and provide higher-accuracy information. For this purpose, the implication of deep learning procedures has been described as a vital tool for the...
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Tingting Xie, Wenjuan Ren, Yifang Chen, Jiajia Sheng and Linbing Wang
Incorporating fibers into asphalt mixtures as additives and stabilizers can significantly enhance the performance of asphalt pavements. This study aimed to analyze the impact of using basalt and bamboo fibers as modifiers on the properties of asphalt mas...
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Fengqi Tan, Changchun Bao and Jing Zhou
Adaptive beamforming and deconvolution techniques have shown effectiveness for reducing noise and reverberation. The minimum variance distortionless response (MVDR) beamformer is the most widely used for adaptive beamforming, whereas multichannel linear ...
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Miodrag D. Ku?ljevic and Vladimir V. Vujicic
Although voiced speech signals are physical signals which are approximately harmonic and electric power signals are true harmonic, the algorithms used for harmonic analysis in electric power systems can be successfully used in speech processing, includin...
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Awais Salman Qazi, Muhammad Shoaib Farooq, Furqan Rustam, Mónica Gracia Villar, Carmen Lili Rodríguez and Imran Ashraf
Facial emotion recognition (FER) is an important and developing topic of research in the field of pattern recognition. The effective application of facial emotion analysis is gaining popularity in surveillance footage, expression analysis, activity recog...
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