Search Results - "Applied soft computing"

Investigating the impact of data normalization on classification performance by 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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A new hybrid model for wind speed forecasting combining long short-term memory neural network, decomposition methods and grey wolf optimizer by 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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Financial time series forecasting with deep learning : A systematic literature review: 2005–2019 by 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 survey on deep learning techniques for image and video semantic segmentation by 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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An improved PSO algorithm for smooth path planning of mobile robots using continuous high-degree Bezier curve by 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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Chaotic multi-swarm whale optimizer boosted support vector machine for medical diagnosis by 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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Automated medical diagnosis of COVID-19 through EfficientNet convolutional neural network by 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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Deep learning for financial applications : A survey by 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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Sentiment Analysis of COVID-19 tweets by Deep Learning Classifiers—A study to show how popularity is affecting accuracy in social media by Chakraborty, Koyel, Bhatia, Surbhi, Bhattacharyya, Siddhartha, Platos, Jan, Bag, Rajib, Hassanien, Aboul Ella

“…COVID-19 originally known as Corona VIrus Disease of 2019, has been declared as a pandemic by World Health Organization (WHO) on 11th March 2020. Unprecedented…”
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A Novel Medical Diagnosis model for COVID-19 infection detection based on Deep Features and Bayesian Optimization by Nour, Majid, Cömert, Zafer, Polat, Kemal

“…A pneumonia of unknown causes, which was detected in Wuhan, China, and spread rapidly throughout the world, was declared as Coronavirus disease 2019…”
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EEG emotion recognition using fusion model of graph convolutional neural networks and LSTM by 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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CNN-based transfer learning–BiLSTM network: A novel approach for COVID-19 infection detection by Aslan, Muhammet Fatih, Unlersen, Muhammed Fahri, Sabanci, Kadir, Durdu, Akif

“…Coronavirus disease 2019 (COVID-2019), which emerged in Wuhan, China in 2019 and has spread rapidly all over the world since the beginning of 2020, has…”
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Feature selection based on artificial bee colony and gradient boosting decision tree by 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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Differential evolution algorithm with wavelet basis function and optimal mutation strategy for complex optimization problem by Deng, Wu, Xu, Junjie, Song, Yingjie, Zhao, Huimin

“…The optimization performance of differential evolution(DE) algorithm significantly depends on control parameters and mutation strategy. However, it is…”
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Whale optimization approaches for wrapper feature selection by Mafarja, Majdi, Mirjalili, Seyedali

“…[Display omitted] •Novel Whale Optimization approaches are proposed for feature Selection.•Crossover and mutation are used to enhance the exploitation property…”
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Safety-enhanced UAV path planning with spherical vector-based particle swarm optimization by 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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Attention embedded residual CNN for disease detection in tomato leaves by R., Karthik, M., Hariharan, Anand, Sundar, Mathikshara, Priyanka, Johnson, Annie, R., Menaka

“…Automation in plant disease detection and diagnosis is one of the challenging research areas that has gained significant attention in the agricultural sector…”
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Ensemble approach based on bagging, boosting and stacking for short-term prediction in agribusiness time series by 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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Topic detection and sentiment analysis in Twitter content related to COVID-19 from Brazil and the USA by 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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Dynamic scheduling for flexible job shop with new job insertions by deep reinforcement learning by 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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