Search Results - subject:"Transfer Learning"

Multistate health transition modeling using neural networks

Wang, Qiqi; Hanewald, Katja; Wang, Xiaojun - In: The journal of risk & insurance 89 (2022) 2, pp. 475-504

Persistent link: https://www.econbiz.de/10013191444

Semantic segmentation with transfer learning for self-driving cars

Hirchoua, Badr; El Motaki, Saloua - In: Artificial intelligence of things in smart environments …, (pp. 63-82). 2022

Persistent link: https://www.econbiz.de/10013163591

Bridging the semantic gap between customer needs and design specifications using user-generated content

Wang, Yue; Luo, Linkai; Liu, Hai - In: IEEE transactions on engineering management : EM 69 (2022) 4, pp. 1622-1634

Persistent link: https://www.econbiz.de/10013357010

An improved approach based on dynamic mixed sampling and transfer learning for topic recognition: a case study on online patient reviews

Xie, Yaotan; Xiang, Fei - In: Online Information Review 46 (2022) 6, pp. 1017-1033

training forms. Then, an improved method was proposed based on dynamic mixed sampling and transfer learning to improve the … improved methods based on dynamic mixed sampling and transfer learning can adequately manage the learning problem caused by the …

Persistent link: https://www.econbiz.de/10014966503

An intelligent control system for robot massaging with uncertain skin characteristics

Zhai, Jingmei; Zeng, Xianwen; Su, Ziqing - In: Industrial Robot: the international journal of robotics … 49 (2022) 4, pp. 634-644

particle swarm optimization (PSO) method combined with graph-based knowledge transfer learning (GKT) is studied, which will …

Persistent link: https://www.econbiz.de/10014836052

Transfer learning for hostel image classification

Ammatmanee, Chanattra; Gan, Lu - In: Data Technologies and Applications 56 (2021) 1, pp. 44-59

Purpose Because of the fast-growing digital image collections on online platforms and the transfer learning ability of … transfer learning for hostel image classification on the first hostel image database to advance the knowledge and fill the gap … divided into seven experiments to test 11 pretrained CNNs which transfer learning was applied and parameters were fine …

Persistent link: https://www.econbiz.de/10014712625

Using pretraining and text mining methods to automatically extract the chemical scientific data

Pang, Na; Qian, Li; Lyu, Weimin; Yang, Jin-Dong - In: Data Technologies and Applications 56 (2021) 2, pp. 205-222

Purpose In computational chemistry, the chemical bond energy (pKa) is essential, but most pKa-related data are submerged in scientific papers, with only a few data that have been extracted by domain experts manually. The loss of scientific data does not contribute to in-depth and innovative...

Persistent link: https://www.econbiz.de/10014712783

Robot obstacle avoidance system using deep reinforcement learning

Zhu, Xiaojun; Liang, Yinghao; Sun, Hanxu; Wang, Xueqian; … - In: Industrial Robot: the international journal of robotics … 49 (2021) 2, pp. 301-310

Purpose Most manufacturing plants choose the easy way of completely separating human operators from robots to prevent accidents, but as a result, it dramatically affects the overall quality and speed that is expected from human–robot collaboration. It is not an easy task to ensure human safety...

Persistent link: https://www.econbiz.de/10014835712

Sentiment classification and aspect-based sentiment analysis on yelp reviews using deep learning and word embeddings

Alamoudi, Eman Saeed; Alghamdi, Norah Saleh - In: Journal of decision systems 30 (2021) 2/3, pp. 259-281

Persistent link: https://www.econbiz.de/10012623275

Soft sensor of flotation froth grade classification based on hybrid deep neural network

Zhang, Dingsen; Gao, Xianwen - In: International journal of production research 59 (2021) 16, pp. 4794-4810

Persistent link: https://www.econbiz.de/10012625724