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Atiq ur Rehman, Samir Brahim Belhaouari, Md Alamgir Kabir and Adnan Khan
The video classification task has gained significant success in the recent years. Specifically, the topic has gained more attention after the emergence of deep learning models as a successful tool for automatically classifying videos. In recognition of t...
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Hanchi Liu, Xin Ma, Yining Yu, Liang Wang and Lin Hao
Automated monitoring and analysis of fish?s growth status and behaviors can help scientific aquaculture management and reduce severe losses due to diseases or overfeeding. With developments in machine vision and deep learning (DL) techniques, DL-based ob...
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Mark-Oliver Würtz,Kurt Sandkuhl
Pág. 62 - 83
The popularity of new mobility services (NMS), like car sharing, urban bikes or e-scooters, is increasing in many urban areas. In comparison to traditional supply-oriented public transport with defined timetables and transportation routes, NMS are demand...
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Guillaume Devic, Gilles Sassatelli and Abdoulaye Gamatié
The execution of machine learning (ML) algorithms on resource-constrained embedded systems is very challenging in edge computing. To address this issue, ML accelerators are among the most efficient solutions. They are the result of aggressive architectur...
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Olena Pavliuk, Myroslav Mishchuk and Christine Strauss
Over the last few years, human activity recognition (HAR) has drawn increasing interest from the scientific community. This attention is mainly attributable to the proliferation of wearable sensors and the expanding role of HAR in such fields as healthca...
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