Search Results - "Neural computing & applications"

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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Monarch butterfly optimization by Wang, Gai-Ge, Deb, Suash, Cui, Zhihua

“…In nature, the eastern North American monarch population is known for its southward migration during the late summer/autumn from the northern USA and southern…”
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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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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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Deep learning techniques for classification of electroencephalogram (EEG) motor imagery (MI) signals: a review by Altaheri, Hamdi, Muhammad, Ghulam, Alsulaiman, Mansour, Amin, Syed Umar, Altuwaijri, Ghadir Ali, Abdul, Wadood, Bencherif, Mohamed A., Faisal, Mohammed

“…The brain–computer interface (BCI) is an emerging technology that has the potential to revolutionize the world, with numerous applications ranging from…”
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Blockchain for healthcare data management: opportunities, challenges, and future recommendations by Yaqoob, Ibrar, Salah, Khaled, Jayaraman, Raja, Al-Hammadi, Yousof

“…Today's healthcare data management systems are facing key challenges in terms of data transparency, traceability, immutability, audit, data provenance,…”
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A transfer convolutional neural network for fault diagnosis based on ResNet-50 by Wen, Long, Li, Xinyu, Gao, Liang

“…With the rapid development of smart manufacturing, data-driven fault diagnosis has attracted increasing attentions. As one of the most popular methods applied…”
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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 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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Artificial ecosystem-based optimization: a novel nature-inspired meta-heuristic algorithm by Zhao, Weiguo, Wang, Liying, Zhang, Zhenxing

“…A novel nature-inspired meta-heuristic optimization algorithm, named artificial ecosystem-based optimization (AEO), is presented in this paper. AEO is a…”
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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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A detection algorithm for cherry fruits based on the improved YOLO-v4 model by Gai, Rongli, Chen, Na, Yuan, Hai

“…"Digital" agriculture is rapidly affecting the value of agricultural output. Robotic picking of the ripe agricultural product enables accurate and rapid…”
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Multi-Verse Optimizer: a nature-inspired algorithm for global optimization by Mirjalili, Seyedali, Mirjalili, Seyed Mohammad, Hatamlou, Abdolreza

“…This paper proposes a novel nature-inspired algorithm called Multi-Verse Optimizer (MVO). The main inspirations of this algorithm are based on three concepts…”
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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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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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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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Salp swarm algorithm: a comprehensive survey by Abualigah, Laith, Shehab, Mohammad, Alshinwan, Mohammad, Alabool, Hamzeh

“…This paper completely introduces an exhaustive and a comprehensive review of the so-called salp swarm algorithm (SSA) and discussions its main characteristics…”
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Adversarial frontier stitching for remote neural network watermarking by Le Merrer, Erwan, Pérez, Patrick, Trédan, Gilles

“…The state-of-the-art performance of deep learning models comes at a high cost for companies and institutions, due to the tedious data collection and the heavy…”
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A fast accurate fine-grain object detection model based on YOLOv4 deep neural network by Roy, Arunabha M., Bose, Rikhi, Bhaduri, Jayabrata

“…Early identification and prevention of various plant diseases is a key feature of precision agriculture technology. This paper presents a high-performance…”
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