This branch builds three autoencoders for the bone age data of toddlers, puberty, and post-puberty stages. It consists of two branches, the first branch consists of a CNN-based autoencoder and a CNN-based scoring network.
In this paper, a data imbalance immunity bone age assessment (DIIBAA) system is proposed. wrote the article “Data Imbalance Immunity Bone Age Assessment System Using Independent Autoencoders”. The Topics of the Special Issue “Human Computer Interactions 2.0” The main goal of this Special Issue is to provide a broad international forum for world researchers, engineers and professionals in human–computer interactions topics for the discussion and exchange of various scientific, technical and management discoveries across the world. This Special Issue, “Human Computer Interactions 2.0”, presents excellent papers from 164 papers presented in IEEE ECICE 2022 and other high-quality papers considering human–computer interactions. There were 164 papers presented in IEEE ECICE 2022 conference.
This conference aims to provide a broad international forum for world researchers, engineers and professionals in IOT and manufacturing fields for the discussion and exchange of various scientific, technical and management discoveries across the world. The booming economic development in Asia, driven by the leading manufacturing industries, with production ranging from automobiles, machinery, computers, communication devices, consumer products and flat panel displays to semiconductor and micro/nano areas, has stimulated significant interest among universities, research institutions and numerous industrial corporations.
In addition, the fourth IEEE Eurasia Conference on IOT, Communication and Engineering 2022 (IEEE ECICE 2022, ) was held in Yunlin, Taiwan, on 28–30 October 2022, providing a communication platform for the scientific exchange of IOT and advanced manufacturing research among scholars.
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