F
Fuqian Shi
Researcher at Rutgers University
Publications - 85
Citations - 1848
Fuqian Shi is an academic researcher from Rutgers University. The author has contributed to research in topics: Convolutional neural network & Artificial neural network. The author has an hindex of 21, co-authored 80 publications receiving 1351 citations. Previous affiliations of Fuqian Shi include First Affiliated Hospital of Wenzhou Medical University & Wenzhou Medical College.
Papers
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Journal ArticleDOI
Developing residential wireless sensor networks for ECG healthcare monitoring
TL;DR: The paper concludes that such mass-market health monitoring systems will only be prevalent when implemented together with home environmental monitoring and control systems.
Journal ArticleDOI
Medical cyber-physical systems: A survey.
TL;DR: This article enriched the researches of the networked Medical Device (MD) systems to increase the efficiency and safety of the healthcare.
Journal ArticleDOI
Modified cuckoo search algorithm in microscopic image segmentation of hippocampus
Shouvik Chakraborty,Sankhadeep Chatterjee,Nilanjan Dey,Amira S. Ashour,Ahmed S. Ashour,Fuqian Shi,Kalyani Mali +6 more
TL;DR: A novel method for cell segmentation and identification has been proposed that incorporated marking cells in cuckoo search (CS) algorithm and experimental results established that the Kapur's entropy segmentation method based on the modified CS required the least computational time.
Book ChapterDOI
Indian Sign Language Recognition Using Optimized Neural Networks
Sirshendu Hore,Sankhadeep Chatterjee,V. Santhi,Nilanjan Dey,Amira S. Ashour,Valentina Emilia Balas,Fuqian Shi +6 more
TL;DR: In this paper, three novel methods were reported to solve the problem of recognition of Indian sign language gestures effectively by combining Neural Network (NN) with Genetic Algorithm (GA), Evolutionary algorithm (EA) and Particle Swarm Optimization (PSO) separately to attain novel NN-GA, NN -EA and NNPSO methods; respectively.
Journal ArticleDOI
Wireless Capsule Gastrointestinal Endoscopy: Direction-of-Arrival Estimation Based Localization Survey
TL;DR: This paper emphasizes the most common localization systems generally, highlighting the DOA-based localization systems and discusses the required significant research challenges to be addressed.