Search Results - "learning algorithm"

Multi-robot path planning based on a deep reinforcement learning DQN algorithm by Yang, Yang, Juntao, Li, Lingling, Peng

“…The unmanned warehouse dispatching system of the ‘goods to people’ model uses a structure mainly based on a handling robot, which saves considerable manpower…”
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Comparing different supervised machine learning algorithms for disease prediction by Uddin, Shahadat, Khan, Arif, Hossain, Md Ekramul, Moni, Mohammad Ali

“…Background Supervised machine learning algorithms have been a dominant method in the data mining field. Disease prediction using health data has recently shown…”
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A Multi-Agent Reinforcement Learning-Based Data-Driven Method for Home Energy Management by Xu, Xu, Jia, Youwei, Xu, Yan, Xu, Zhao, Chai, Songjian, Lai, Chun Sing

“…This paper proposes a novel framework for home energy management (HEM) based on reinforcement learning in achieving efficient home-based demand response (DR)…”
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Tree-based ensemble regression models for emission prediction of a winter green oil-hydrogen dual-fuel engine with zeolite after-treatment by Josephin J S, Femilda, Subramanian, Balaji, Renjit, E. Jeslin, S, Naveen Venkatesh, Sugumaran, V., Subramanian, Thiyagarajan, Kiani, Farzad, Varuvel, Edwin Geo, Matijošius, Jonas, Kilikevičius, Artūras

“…This study presents an emission prediction framework for a dual-fuel compression-ignition engine operated on a 20 % winter green oil–diesel blend enriched with…”
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Weighted Broad Learning System and Its Application in Nonlinear Industrial Process Modeling by Chu, Fei, Liang, Tao, Chen, C. L. Philip, Wang, Xuesong, Ma, Xiaoping

“…Broad learning system (BLS) is a novel neural network with effective and efficient learning ability. BLS has attracted increasing attention from many scholars…”
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Graph-Based Maximum Connected-Component Learning Algorithm for Small Target Detection in Maritime Radars by Bai, Xiaohui, Xu, Shuwen, Guo, Zixun, Shui, Penglang

“…Anomaly detection needs to learn one-class classifiers from normal instances in observation or feature spaces. In the Neyman–Pearson criterion, the design of…”
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Artificial intelligence in glomerular diseases by Schena, Francesco P., Magistroni, Riccardo, Narducci, Fedelucio, Abbrescia, Daniela I., Anelli, Vito W., Di Noia, Tommaso

“…In this narrative review, we focus on the application of artificial intelligence in the clinical history of patients with glomerular disease, digital pathology…”
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A Hybrid Intrusion Detection System Based on Scalable K-Means+ Random Forest and Deep Learning by Liu, Chao, Gu, Zhaojun, Wang, Jialiang

“…Digital assets have come under various network security threats in the digital age. As a kind of security equipment to protect digital assets, intrusion…”
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On flow regime transition in trickle bed: Development of a novel deep‐learning‐assisted image analysis method by Wang, Chao, Li, Shaoshuo, Yang, Yao, Huang, Zhengliang, Sun, Jingyuan, Wang, Jingdai, Yang, Yongrong, Liao, Zuwei, Jiang, Binbo

“…An image analysis method was developed based on deep‐learning algorithms to extract phase fractions quantitatively in a rectangular trickle bed, and the…”
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A Fully Flexible Intelligent Thermal Touch Panel Based on Intrinsically Plastic Ag2S Semiconductor by Zhao, Xue‐Feng, Yang, Shi‐Qi, Wen, Xiao‐Hong, Huang, Qi‐Wei, Qiu, Peng‐Fei, Wei, Tian‐Ran, Zhang, Hao, Wang, Jia‐Cheng, Zhang, David Wei, Shi, Xun, Lu, Hong‐Liang

“…Wearable touch panels, a typical flexible electronic device, can recognize and feed back the information of finger touch and movement. Excellent wearable touch…”
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A deep learning image-based intrinsic molecular subtype classifier of breast tumors reveals tumor heterogeneity that may affect survival by Jaber, Mustafa I., Song, Bing, Taylor, Clive, Vaske, Charles J., Benz, Stephen C., Rabizadeh, Shahrooz, Soon-Shiong, Patrick, Szeto, Christopher W.

“…Background Breast cancer intrinsic molecular subtype (IMS) as classified by the expression-based PAM50 assay is considered a strong prognostic feature, even…”
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Predictive models for clinical decision making: Deep dives in practical machine learning by Eloranta, Sandra, Boman, Magnus

“…The deployment of machine learning for tasks relevant to complementing standard of care and advancing tools for precision health has gained much attention in…”
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Mixed local channel attention for object detection by Wan, Dahang, Lu, Rongsheng, Shen, Siyuan, Xu, Ting, Lang, Xianli, Ren, Zhijie

“…Attention mechanism, one of the most extensively utilized components in computer vision, can assist neural networks in emphasizing significant elements and…”
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Dried blood spot metabolomics reveals a metabolic fingerprint with diagnostic potential for Diamond Blackfan Anaemia by Dooijeweert, Birgit, Broeks, Melissa H., Beers, Eduard J., Verhoeven‐Duif, Nanda M., Solinge, Wouter W., Nieuwenhuis, Edward E. S., Jans, Judith J., Wijk, Richard, Bartels, Marije

“…Summary The diagnostic evaluation of Diamond Blackfan Anaemia (DBA), an inherited bone marrow failure syndrome characterised by erythroid hypoplasia, is…”
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Spectrum sensing in cognitive radio networks: threshold optimization and analysis by kockaya, Kenan, Develi, Ibrahim

“…Cognitive radio is a technology developed for the effective use of radio spectrum sources. The spectrum sensing function plays a key role in the performance of…”
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Development and validation of a deep‐learning algorithm for the detection of neovascular age‐related macular degeneration from colour fundus photographs by Keel, Stuart, Li, Zhixi, Scheetz, Jane, Robman, Liubov, Phung, James, Makeyeva, Galina, Aung, KhinZaw, Liu, Chi, Yan, Xixi, Meng, Wei, Guymer, Robyn, Chang, Robert, He, Mingguang

“…Importance Detection of early onset neovascular age‐related macular degeneration (AMD) is critical to protecting vision. Background To describe the development…”
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An optimized Q-Learning algorithm for mobile robot local path planning by Zhou, Qian, Lian, Yang, Wu, Jiayang, Zhu, Mengyue, Wang, Haiyong, Cao, Jinli

“…The Q-Learning algorithm is a reinforcement learning technique widely used in various fields such as path planning, intelligent transportation, penetration…”
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Optimization-based stacked machine-learning method for seismic probability and risk assessment of reinforced concrete shear walls by Kazemi, Farzin, Asgarkhani, Neda, Jankowski, Robert

“…Efficient seismic risk assessment aids decision-makers in formulating citywide risk mitigation plans, providing insights into building performance and…”
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A scheduling scheme in the cloud computing environment using deep Q-learning by Tong, Zhao, Chen, Hongjian, Deng, Xiaomei, Li, Kenli, Li, Keqin

“…Task scheduling, which plays a vital role in cloud computing, is a critical factor that determines the performance of cloud computing. From the booming economy…”
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A type-3 logic fuzzy system: Optimized by a correntropy based Kalman filter with adaptive fuzzy kernel size by Qasem, Sultan Noman, Ahmadian, Ali, Mohammadzadeh, Ardashir, Rathinasamy, Sakthivel, Pahlevanzadeh, Bahareh

“…In this study, a self-organizing interval type-3 fuzzy logic system (SO-IT3FLS) with a new learning algorithm is presented. An adaptive kernel size using fuzzy…”
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