Výsledky vyhledávání - "Applied soft computing"

A comprehensive survey on design and application of autoencoder in deep learning Autor Li, Pengzhi, Pei, Yan, Li, Jianqiang

“…Autoencoder is an unsupervised learning model, which can automatically learn data features from a large number of samples and can act as a dimensionality…”
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Investigating the impact of data normalization on classification performance Autor Singh, Dalwinder, Singh, Birmohan

“…Data normalization is one of the pre-processing approaches where the data is either scaled or transformed to make an equal contribution of each feature. The…”
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Financial time series forecasting with deep learning : A systematic literature review: 2005–2019 Autor Sezer, Omer Berat, Gudelek, Mehmet Ugur, Ozbayoglu, Ahmet Murat

“…Financial time series forecasting is undoubtedly the top choice of computational intelligence for finance researchers in both academia and the finance industry…”
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A new hybrid model for wind speed forecasting combining long short-term memory neural network, decomposition methods and grey wolf optimizer Autor Altan, Aytaç, Karasu, Seçkin, Zio, Enrico

“…Reliable and accurate wind speed forecasting (WSF) is fundamental for efficient exploitation of wind power. In particular, high accuracy short-term WSF…”
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Safety-enhanced UAV path planning with spherical vector-based particle swarm optimization Autor Phung, Manh Duong, Ha, Quang Phuc

“…This paper presents a new algorithm named spherical vector-based particle swarm optimization (SPSO) to deal with the problem of path planning for unmanned…”
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An improved PSO algorithm for smooth path planning of mobile robots using continuous high-degree Bezier curve Autor Song, Baoye, Wang, Zidong, Zou, Lei

“…In this paper, a new strategy is developed to plan the smooth path for mobile robots through an improved PSO algorithm in combination with the continuous…”
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EEG emotion recognition using fusion model of graph convolutional neural networks and LSTM Autor Yin, Yongqiang, Zheng, Xiangwei, Hu, Bin, Zhang, Yuang, Cui, Xinchun

“…In recent years, graph convolutional neural networks have become research focus and inspired new ideas for emotion recognition based on EEG. Deep learning has…”
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Deep learning for financial applications : A survey Autor Ozbayoglu, Ahmet Murat, Gudelek, Mehmet Ugur, Sezer, Omer Berat

“…Computational intelligence in finance has been a very popular topic for both academia and financial industry in the last few decades. Numerous studies have…”
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The choice of scaling technique matters for classification performance Autor de Amorim, Lucas B.V., Cavalcanti, George D.C., Cruz, Rafael M.O.

“…Dataset scaling, also known as normalization, is an essential preprocessing step in a machine learning pipeline. It is aimed at adjusting attributes scales in…”
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Automated medical diagnosis of COVID-19 through EfficientNet convolutional neural network Autor Marques, Gonçalo, Agarwal, Deevyankar, de la Torre Díez, Isabel

“…COVID-19 infection was reported in December 2019 at Wuhan, China. This virus critically affects several countries such as the USA, Brazil, India and Italy…”
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Dynamic scheduling for flexible job shop with new job insertions by deep reinforcement learning Autor Luo, Shu

“…In modern manufacturing industry, dynamic scheduling methods are urgently needed with the sharp increase of uncertainty and complexity in production process…”
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Ensemble approach based on bagging, boosting and stacking for short-term prediction in agribusiness time series Autor Ribeiro, Matheus Henrique Dal Molin, dos Santos Coelho, Leandro

“…The investigation of the accuracy of methods employed to forecast agricultural commodities prices is an important area of study. In this context, the…”
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A survey on deep learning techniques for image and video semantic segmentation Autor Garcia-Garcia, Alberto, Orts-Escolano, Sergio, Oprea, Sergiu, Villena-Martinez, Victor, Martinez-Gonzalez, Pablo, Garcia-Rodriguez, Jose

“…•An in-depth review of deep learning methods for semantic segmentation applied to various areas.•An overview of background concepts and formulation for…”
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A broad review on class imbalance learning techniques Autor Rezvani, Salim, Wang, Xizhao

“…The imbalanced learning issue is related to the performance of learning algorithms in the presence of asymmetrical class distribution. Due to the complex…”
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Leaf disease detection using machine learning and deep learning: Review and challenges Autor Sarkar, Chittabarni, Gupta, Deepak, Gupta, Umesh, Hazarika, Barenya Bikash

“…Identification of leaf disorder plays an important role in the economic prosperity of any country. Many parts of a plant can be infected by a virus, fungal,…”
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Chaotic multi-swarm whale optimizer boosted support vector machine for medical diagnosis Autor Wang, Mingjing, Chen, Huiling

“…Support vector machine (SVM) is a widely used pattern classification method that its classification accuracy is greatly influenced by both kernel parameter…”
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Topic detection and sentiment analysis in Twitter content related to COVID-19 from Brazil and the USA Autor Garcia, Klaifer, Berton, Lilian

“…Twitter is a social media platform with more than 500 million users worldwide. It has become a tool for spreading the news, discussing ideas and comments on…”
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Federated learning for COVID-19 screening from Chest X-ray images Autor Feki, Ines, Ammar, Sourour, Kessentini, Yousri, Muhammad, Khan

“…Today, the whole world is facing a great medical disaster that affects the health and lives of the people: the COVID-19 disease, colloquially known as the…”
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Feature selection based on artificial bee colony and gradient boosting decision tree Autor Rao, Haidi, Shi, Xianzhang, Rodrigue, Ahoussou Kouassi, Feng, Juanjuan, Xia, Yingchun, Elhoseny, Mohamed, Yuan, Xiaohui, Gu, Lichuan

“…Data from many real-world applications can be high dimensional and features of such data are usually highly redundant. Identifying informative features has…”
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An easy-to-use real-world multi-objective optimization problem suite Autor Tanabe, Ryoji, Ishibuchi, Hisao

“…Although synthetic test problems are widely used for the performance assessment of evolutionary multi-objective optimization algorithms, they are likely to…”
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