Search Results - "Probability and Statistics in Computer Science"

Deep CNN models-based ensemble approach to driver drowsiness detection by Dua, Mohit, Shakshi, Singla, Ritu, Raj, Saumya, Jangra, Arti

“…Statistics have shown that many accidents occur due to drowsy condition of drivers. In a study conducted by National Sleep Foundation, it has been found that…”
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An IoT-based E-business model of intelligent vegetable greenhouses and its key operations management issues by Ruan, Junhu, Hu, Xiangpei, Huo, Xuexi, Shi, Yan, Chan, Felix T. S., Wang, Xuping, Manogaran, Gunasekaran, Mastorakis, George, Mavromoustakis, Constandinos X., Zhao, Xiaofeng

“…The widespread popularization of Internet has brought about various Internet-based business models as well as well-known Internet giants such as Facebook,…”
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Intelligent learning system based on personalized recommendation technology by Li, Hui, Li, Haining, Zhang, Shu, Zhong, Zhaoman, Cheng, Jiang

“…With the continuous development of networks, web-based e-learning is changing the way people acquire knowledge. An increasing number of learners are eager to…”
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An improved fire detection approach based on YOLO-v8 for smart cities by Talaat, Fatma M., ZainEldin, Hanaa

“…Fires in smart cities can have devastating consequences, causing damage to property, and endangering the lives of citizens. Traditional fire detection methods…”
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Prairie Dog Optimization Algorithm by Ezugwu, Absalom E., Agushaka, Jeffrey O., Abualigah, Laith, Mirjalili, Seyedali, Gandomi, Amir H.

“…This study proposes a new nature-inspired metaheuristic that mimics the behaviour of the prairie dogs in their natural habitat called the prairie dog…”
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Evolutionary algorithms and their applications to engineering problems by Slowik, Adam, Kwasnicka, Halina

“…The main focus of this paper is on the family of evolutionary algorithms and their real-life applications. We present the following algorithms: genetic…”
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Improved YOLOv5 network for real-time multi-scale traffic sign detection by Wang, Junfan, Chen, Yi, Dong, Zhekang, Gao, Mingyu

“…Traffic sign detection is a challenging task for the unmanned driving system, especially for the detection of multi-scale targets and the real-time problem of…”
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Deep learning: systematic review, models, challenges, and research directions by Talaei Khoei, Tala, Ould Slimane, Hadjar, Kaabouch, Naima

“…The current development in deep learning is witnessing an exponential transition into automation applications. This automation transition can provide a…”
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Attention mechanism in neural networks: where it comes and where it goes by Soydaner, Derya

“…A long time ago in the machine learning literature, the idea of incorporating a mechanism inspired by the human visual system into neural networks was…”
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An approach toward decision-making and medical diagnosis problems using the concept of spherical fuzzy sets by Mahmood, Tahir, Ullah, Kifayat, Khan, Qaisar, Jan, Naeem

“…Human opinion cannot be restricted to yes or no as depicted by conventional fuzzy set (FS) and intuitionistic fuzzy set (IFS) but it can be yes, abstain, no…”
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Parallel spatio-temporal attention-based TCN for multivariate time series prediction by Fan, Jin, Zhang, Ke, Huang, Yipan, Zhu, Yifei, Chen, Baiping

“…As industrial systems become more complex and monitoring sensors for everything from surveillance to our health become more ubiquitous, multivariate time…”
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Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC by Vehtari, Aki, Gelman, Andrew, Gabry, Jonah

“…Leave-one-out cross-validation (LOO) and the widely applicable information criterion (WAIC) are methods for estimating pointwise out-of-sample prediction…”
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A dynamic ensemble learning algorithm for neural networks by Alam, Kazi Md. Rokibul, Siddique, Nazmul, Adeli, Hojjat

“…This paper presents a novel dynamic ensemble learning (DEL) algorithm for designing ensemble of neural networks (NNs). DEL algorithm determines the size of…”
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A CNN–LSTM model for gold price time-series forecasting by Livieris, Ioannis E., Pintelas, Emmanuel, Pintelas, Panagiotis

“…Gold price volatilities have a significant impact on many financial activities of the world. The development of a reliable prediction model could offer…”
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A modified Adam algorithm for deep neural network optimization by Reyad, Mohamed, Sarhan, Amany M., Arafa, M.

“…Deep Neural Networks (DNNs) are widely regarded as the most effective learning tool for dealing with large datasets, and they have been successfully used in…”
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A comparative study of ANN and ANFIS models for the prediction of cement-based mortar materials compressive strength by Armaghani, Danial Jahed, Asteris, Panagiotis G.

“…Despite the extensive use of mortars materials in constructions over the last decades, there is not yet a reliable and robust method, available in the…”
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Coronavirus herd immunity optimizer (CHIO) by Al-Betar, Mohammed Azmi, Alyasseri, Zaid Abdi Alkareem, Awadallah, Mohammed A., Abu Doush, Iyad

“…In this paper, a new nature-inspired human-based optimization algorithm is proposed which is called coronavirus herd immunity optimizer (CHIO). The inspiration…”
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Grey wolf optimizer: a review of recent variants and applications by Faris, Hossam, Aljarah, Ibrahim, Al-Betar, Mohammed Azmi, Mirjalili, Seyedali

“…Grey wolf optimizer (GWO) is one of recent metaheuristics swarm intelligence methods. It has been widely tailored for a wide variety of optimization problems…”
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Data Augmentation techniques in time series domain: a survey and taxonomy by Iglesias, Guillermo, Talavera, Edgar, González-Prieto, Ángel, Mozo, Alberto, Gómez-Canaval, Sandra

“…With the latest advances in deep learning-based generative models, it has not taken long to take advantage of their remarkable performance in the area of time…”
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Gazelle optimization algorithm: a novel nature-inspired metaheuristic optimizer by Agushaka, Jeffrey O., Ezugwu, Absalom E., Abualigah, Laith

“…This study proposes a novel population-based metaheuristic algorithm called the Gazelle Optimization Algorithm (GOA), inspired by the gazelles’ survival…”
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