Search Results - "Engineering applications of artificial intelligence"

Ensemble deep learning: A review by Ganaie, M.A., Hu, Minghui, Malik, A.K., Tanveer, M., Suganthan, P.N.

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A comprehensive survey of clustering algorithms: State-of-the-art machine learning applications, taxonomy, challenges, and future research prospects by Ezugwu, Absalom E., Ikotun, Abiodun M., Oyelade, Olaide O., Abualigah, Laith, Agushaka, Jeffery O., Eke, Christopher I., Akinyelu, Andronicus A.

“…Clustering is an essential tool in data mining research and applications. It is the subject of active research in many fields of study, such as computer…”
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Tunicate Swarm Algorithm: A new bio-inspired based metaheuristic paradigm for global optimization by Kaur, Satnam, Awasthi, Lalit K., Sangal, A.L., Dhiman, Gaurav

“…This paper introduces a bio-inspired metaheuristic optimization algorithm named Tunicate Swarm Algorithm (TSA). The proposed algorithm imitates jet propulsion…”
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Artificial rabbits optimization: A new bio-inspired meta-heuristic algorithm for solving engineering optimization problems by Wang, Liying, Cao, Qingjiao, Zhang, Zhenxing, Mirjalili, Seyedali, Zhao, Weiguo

“…In this paper, a new bio-inspired meta-heuristic algorithm, named artificial rabbits optimization (ARO), is proposed and tested comprehensively. The…”
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Manta ray foraging optimization: An effective bio-inspired optimizer for engineering applications by Zhao, Weiguo, Zhang, Zhenxing, Wang, Liying

“…A new bio-inspired optimization technique, named Manta Ray Foraging Optimization (MRFO) algorithm, is proposed and presented, aiming to providing a novel…”
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Differential Evolution: A review of more than two decades of research by Bilal, Pant, Millie, Zaheer, Hira, Garcia-Hernandez, Laura, Abraham, Ajith

“…Since its inception in 1995, Differential Evolution (DE) has emerged as one of the most frequently used algorithms for solving complex optimization problems…”
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Black Widow Optimization Algorithm: A novel meta-heuristic approach for solving engineering optimization problems by Hayyolalam, Vahideh, Pourhaji Kazem, Ali Asghar

“…Nature-inspired optimization algorithms can solve different engineering and scientific problems owing to their easiness and flexibility. There is no need for…”
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Dandelion Optimizer: A nature-inspired metaheuristic algorithm for engineering applications by Zhao, Shijie, Zhang, Tianran, Ma, Shilin, Chen, Miao

“…This paper proposes a novel swarm intelligence bioinspired optimization algorithm, called the Dandelion Optimizer (DO), for solving continuous optimization…”
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Potential, challenges and future directions for deep learning in prognostics and health management applications by Fink, Olga, Wang, Qin, Svensén, Markus, Dersin, Pierre, Lee, Wan-Jui, Ducoffe, Melanie

“…Deep learning applications have been thriving over the last decade in many different domains, including computer vision and natural language understanding. The…”
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Artificial intelligence for the metaverse: A survey by Huynh-The, Thien, Pham, Quoc-Viet, Pham, Xuan-Qui, Nguyen, Thanh Thi, Han, Zhu, Kim, Dong-Seong

“…Along with the massive growth of the Internet from the 1990s until now, various innovative technologies have been created to bring users breathtaking…”
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Review of swarm intelligence-based feature selection methods by Rostami, Mehrdad, Berahmand, Kamal, Nasiri, Elahe, Forouzandeh, Saman

“…In the past decades, the rapid growth of computer and database technologies has led to the rapid growth of large-scale datasets. On the other hand, data mining…”
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Lévy flight distribution: A new metaheuristic algorithm for solving engineering optimization problems by Houssein, Essam H., Saad, Mohammed R., Hashim, Fatma A., Shaban, Hassan, Hassaballah, M.

“…In this paper, we propose a new metaheuristic algorithm based on Lévy flight called Lévy flight distribution (LFD) for solving real optimization problems. The…”
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The Sailfish Optimizer: A novel nature-inspired metaheuristic algorithm for solving constrained engineering optimization problems by Shadravan, S., Naji, H.R., Bardsiri, V.K.

“…Nature-inspired optimization algorithms, especially swarm based algorithms (SAs), solve many scientific and engineering problems due to their flexibility and…”
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STOA: A bio-inspired based optimization algorithm for industrial engineering problems by Dhiman, Gaurav, Kaur, Amandeep

“…This paper presents a bio-inspired algorithm called Sooty Tern Optimization Algorithm (STOA) for solving constrained industrial problems.The main inspiration…”
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Fermatean fuzzy weighted averaging/geometric operators and its application in multi-criteria decision-making methods by Senapati, Tapan, Yager, Ronald R.

“…Fermatean fuzzy sets (FFSs), proposed by Senapati and Yager (0000), can handle uncertain information more easily in the process of decision making. They…”
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Optimization of support vector machine through the use of metaheuristic algorithms in forecasting TBM advance rate by Zhou, Jian, Qiu, Yingui, Zhu, Shuangli, Armaghani, Danial Jahed, Li, Chuanqi, Nguyen, Hoang, Yagiz, Saffet

“…The advance rate (AR) of a tunnel boring machine (TBM) in hard rock condition is a key parameter for the successful accomplishment of a tunneling project, and…”
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A physics-informed machine learning approach for solving heat transfer equation in advanced manufacturing and engineering applications by Zobeiry, Navid, Humfeld, Keith D.

“…A physics-informed neural network is developed to solve conductive heat transfer partial differential equation (PDE), along with convective heat transfer PDEs…”
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Bayesian retinex underwater image enhancement by Zhuang, Peixian, Li, Chongyi, Wu, Jiamin

“…This paper develops a Bayesian retinex algorithm for enhancing single underwater image with multiorder gradient priors of reflectance and illumination. First,…”
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Industry 4.0: A bibliometric analysis and detailed overview by Muhuri, Pranab K., Shukla, Amit K., Abraham, Ajith

“…With the arrival of Industry 4.0, the overall transformation using digital integration and intelligent engineering has taken a giant leap towards futuristic…”
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Parameter adaptation-based ant colony optimization with dynamic hybrid mechanism by Zhou, Xiangbing, Ma, Hongjiang, Gu, Jianggang, Chen, Huiling, Deng, Wu

“…In this paper, a parameter adaptation-based ant colony optimization (ACO) algorithm based on particle swarm optimization (PSO) algorithm with the global…”
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