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Load Classification: A Case Study for Applying Neural Networks in Hyper-Constrained Embedded Devices
Autor:
Andrea Agiollo, Andrea Omicini
Publikováno v:
Applied Sciences, Vol 11, Iss 24, p 11957 (2021)
The application of Artificial Intelligence to the industrial world and its appliances has recently grown in popularity. Indeed, AI techniques are now becoming the de-facto technology for the resolution of complex tasks concerning computer vision, nat
Externí odkaz:
https://doaj.org/article/dfd51f33a7ed4823b6220bab65dcc6b7
Publikováno v:
IEEE Transactions on Network and Service Management. 18:1178-1190
The Internet of Things (IoT) is a reality that changes several aspects of our daily life, from smart home monitoring to the management of critical infrastructure. The “Routing Protocol for low power and Lossy networks” (RPL) is the only de-facto
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f6a9f523cce38025bf3bd21407dd1bb
https://doi.org/10.1109/tnsm.2021.3075496
https://doi.org/10.1109/tnsm.2021.3075496
The integration of symbolic knowledge and sub-symbolic predictors represents a recent popular trend in AI. Among the set of integration approaches, Symbolic Knowledge Injection (SKI) proposes the exploitation of human-intelligible knowledge to steer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______4094::3cb7c2e895accfec2da4305691eecd39
https://hdl.handle.net/11585/899383
https://hdl.handle.net/11585/899383
Combining machine learning (ML) and computational logic (CL) is hard, mostly because of the inherently- different ways they use to represent knowledge. In fact, while ML relies on fixed-size numeric repre- sentations leveraging on vectors, matrices,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______4094::071f73bc6807faa16c68fe109a5dde21
http://hdl.handle.net/11585/834362
http://hdl.handle.net/11585/834362
Publikováno v:
ICDSC
Among the various segmentation techniques, a widely used family of approaches are the ones based on region merging, where an initial oversegmentation is progressively refined by joining segments with similar characteristics. Instead of using determin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c882ba7bb96173a3e095778a9891b48d
https://doi.org/10.1145/3349801.3349810
https://doi.org/10.1145/3349801.3349810
Publikováno v:
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Explainable and Transparent AI and Multi-Agent Systems
Explainable and Transparent AI and Multi-Agent Systems ISBN: 9783030820169
EXTRAAMAS@AAMAS
Lecture Notes in Computer Science-Explainable and Transparent AI and Multi-Agent Systems
Explainable and Transparent AI and Multi-Agent Systems ISBN: 9783030820169
EXTRAAMAS@AAMAS
Recently, the Deep Learning (DL) research community has focused on developing efficient and highly performing Neural Networks (NN). Meanwhile, the eXplainable AI (XAI) research community has focused on making Machine Learning (ML) and Deep Learning m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8270bbf7d7ac2a2cd4ac5d6d647cf3d2