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The Intelligent Recognition of Speech Emotions: Survey Study [PDF]
Al-Rafidain Journal of Computer Sciences and Mathematics, 2023 Speech emotion recognition (SER) is a challenging task in the field of artificial intelligence and machine learning. Over the years, researchers have proposed various approaches to recognize emotions from speech signals.
Ali Abdulwahhab Yehya al_saffar +1 more
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An ensemble deep learning model to enhance feature representation for entity detection [PDF]
مجله مدل سازی در مهندسی, 2022 One of the main processes in most natural language processing (NLP), is named entity recognition (NER). In this regard, some machine learning techniques have been presented that traditionally use manual features.
Elham Parsaeimehr +2 more
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LGN-CNN: A biologically inspired CNN architecture
Neural Networks, 2022 In this paper we introduce a biologically inspired Convolutional Neural Network (CNN) architecture called LGN-CNN that has a first convolutional layer composed by a single filter that mimics the role of the Lateral Geniculate Nucleus (LGN). The first layer of the neural network shows a rotational symmetric pattern justified by the structure of the net ...
Bertoni, Federico +2 more
openaire +5 more sources
LA BATALLA DE SANTIAGO. CRÓNICA DE UNA CUARENTENA EN LA CAPITAL DE CHILE
Revista de Ciencias Sociales, 2021 La pandemia de covid-19 golpeó a Chile en medio de una crisis político social caracterizada por una dura confrontación entre la ciudadanía y sus instituciones, además, de una profunda crítica al modelo económico instaurado por la dictadura de Augusto ...
Pedro Azócar Guzmán
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Editorial for “Properties and Applications of Graphene and Its Derivatives”
Nanomaterials, 2022 Since the very first landmark report by Geim and Novoselov in 2004 on graphene [...]
Jose M. González-Domínguez
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Classification of Lung Nodule Using Hybridized Deep Feature Technique [PDF]
Journal of Information Technology Management, 2020 Deep learning techniques have become very popular among Artificial Intelligence (AI) techniques in many areas of life. Among many types of deep learning techniques, Convolutional Neural Networks (CNN) can be useful in image classification applications ...
Malin Bruntha +2 more
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Sentiment Analysis on Social Media with Glove Using Combination CNN and RoBERTa
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2023 Twitter is a popular social media platform that allows users to share short message’s opinion and engage in real-time conversations on a wide range of topics known as tweet.
Diaz Tiyasya Putra, Erwin Budi Setiawan
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Indian Journal of Dental Research, 2023 Aim and Objective: The objective of our study was to build a convolutional neural network (CNN) model and detection and classification of benign and malignant radiolucent lesions in orthopantomogram (OPG) by implementing CNN. Method: Two basic CNN models
Sheetal Singar +2 more
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Cells, 2020 In this work, polythiophene nanoparticles (PTh–NPs) were synthesized by a surfactant-free oxidative chemical polymerization method at 60 °C, using ammonium persulphate as an oxidant.
Deval Prasad Bhattarai, Beom Su Kim
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Fault Location Method for Communication Link in Smart Substation Based on Deep Learning
Zhongguo dianli, 2023 Aiming at the problem of low troubleshooting efficiency of communication link faults caused by complex links in smart substation, a deep learning based fault location method for intelligent substation communication link of smart substation is proposed ...
Zhiyong PI +5 more
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