A survey on deep learning for human activity recognition
Human activity recognition is a key to a lot of applications such as healthcare and smart
home. In this study, we provide a comprehensive survey on recent advances and challenges …
home. In this study, we provide a comprehensive survey on recent advances and challenges …
A survey on 5G radio access network energy efficiency: Massive MIMO, lean carrier design, sleep modes, and machine learning
D López-Pérez, A De Domenico… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
Cellular networks have changed the world we are living in, and the fifth generation (5G) of
radio technology is expected to further revolutionise our everyday lives by enabling a high …
radio technology is expected to further revolutionise our everyday lives by enabling a high …
[HTML][HTML] An overview of machine learning within embedded and mobile devices–optimizations and applications
Embedded systems technology is undergoing a phase of transformation owing to the novel
advancements in computer architecture and the breakthroughs in machine learning …
advancements in computer architecture and the breakthroughs in machine learning …
Patdnn: Achieving real-time dnn execution on mobile devices with pattern-based weight pruning
With the emergence of a spectrum of high-end mobile devices, many applications that
formerly required desktop-level computation capability are being transferred to these …
formerly required desktop-level computation capability are being transferred to these …
Machine learning techniques in emerging cloud computing integrated paradigms: A survey and taxonomy
Cloud computing offers Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and
Software as a Service (SaaS) to provide compute, network, and storage capabilities to the …
Software as a Service (SaaS) to provide compute, network, and storage capabilities to the …
Ghostfacenets: Lightweight face recognition model from cheap operations
The development of deep learning-based biometric models that can be deployed on devices
with constrained memory and computational resources has proven to be a significant …
with constrained memory and computational resources has proven to be a significant …
[HTML][HTML] A review on the use of computer vision and artificial intelligence for fish recognition, monitoring, and management
JGA Barbedo - Fishes, 2022 - mdpi.com
Computer vision has been applied to fish recognition for at least three decades. With the
inception of deep learning techniques in the early 2010s, the use of digital images grew …
inception of deep learning techniques in the early 2010s, the use of digital images grew …
Enabling resource-efficient aiot system with cross-level optimization: A survey
The emerging field of artificial intelligence of things (AIoT, AI+ IoT) is driven by the
widespread use of intelligent infrastructures and the impressive success of deep learning …
widespread use of intelligent infrastructures and the impressive success of deep learning …
Edge intelligence: concepts, architectures, applications, and future directions
J Mendez, K Bierzynski, MP Cuéllar… - ACM Transactions on …, 2022 - dl.acm.org
The name edge intelligence, also known as Edge AI, is a recent term used in the past few
years to refer to the confluence of machine learning, or broadly speaking artificial …
years to refer to the confluence of machine learning, or broadly speaking artificial …
Mobile-based deep learning models for banana diseases detection
Smallholder farmers in Tanzania are challenged on the lack of tools for early detection of
banana diseases. This study aimed at developing a mobile application for early detection of …
banana diseases. This study aimed at developing a mobile application for early detection of …