...Sejal Rahul Trivedi; Neha Sharma Purpose Conventional plant disease detection is time-consuming and prone to human error. The purpose of this study is to propose an edge artificial intelligence (AI)-based deep learning framework for plant disease detection under real-field conditions. The model...

...Yulong Jian; Fuju Wu; Zongju Yang; Zhijian Hu Purpose This study develops a hybrid framework integrating a CBGRU-DAtt deep learning model with an adaptive maximum correntropy unscented Kalman filter (AMCUKF) for GPS/INS navigation. The study aims to enhance positioning accuracy during GPS outages...

... is elaborated. Second, following this analysis, a deep learning driven CPS framework is proposed highlighting its components and tiers. Third, a real industrial case is presented to demonstrate the application of the envisioned framework. Deep learning network-based methods of object detection are used to train...

... of things (IoT) and Deep learning. Design/methodology/approach Health Monitoring Systems play a significant role in the healthcare sector. The development and testing of health monitoring devices using IoT and deep learning dominate the healthcare sector. Findings In addition, the detailed...

.... Design/methodology/approach This paper introduces the concept and research status of tracks; later the authors focus on the representative applications of deep learning in visual tracking. Findings Better tracking algorithms are not mentioned in the existing method. Research limitations...

... 17 04 2021 07 05 2021 © Emerald Publishing Limited 2021 Emerald Publishing Limited Licensed re-use rights only Classification Convolutional neural network Deep learning Dermatology Melanoma Skin cancer Transfer learning Skin lesion analysis has been an interesting...