AdaMEC: Towards a Context-Adaptive and Dynamically-Combinable DNN Deployment Framework for Mobile Edge Computing

Benchmarking lightweight face architectures on specific face recognition scenarios

(2021) Yoanna Martínez-Díaz et al.   ARTIFICIAL INTELLIGENCE REVIEW

ARFDNet: An efficient activity recognition & fall detection system using latent feature pooling

(2021) Santosh Kumar Yadav et al.   KNOWLEDGE-BASED SYSTEMS

Model Compression and Hardware Acceleration for Neural Networks: A Comprehensive Survey

(2020) By Lei Deng et al.   PROCEEDINGS OF THE IEEE

IOT and context‐aware learning‐based optimal neural network model for real‐time health monitoring

(2020) D. Kavitha et al.   Transactions on Emerging Telecommunications Technologies

Learning to optimize halide with tree search and random programs

(2019) Andrew Adams et al.   ACM TRANSACTIONS ON GRAPHICS

Edge Intelligence: Paving the Last Mile of Artificial Intelligence With Edge Computing

(2019) Zhi Zhou et al.   PROCEEDINGS OF THE IEEE

Edge AI: On-Demand Accelerating Deep Neural Network Inference via Edge Computing

(2019) En Li et al.   IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS

Emotion recognition using secure edge and cloud computing

(2019) M. Shamim Hossain et al.   INFORMATION SCIENCES

JointDNN: An Efficient Training and Inference Engine for Intelligent Mobile Cloud Computing Services

(2019) Amir Erfan Eshratifar et al.   IEEE TRANSACTIONS ON MOBILE COMPUTING

Bayesian deep convolutional encoder–decoder networks for surrogate modeling and uncertainty quantification

(2018) Yinhao Zhu et al.   JOURNAL OF COMPUTATIONAL PHYSICS

DeepThings: Distributed Adaptive Deep Learning Inference on Resource-Constrained IoT Edge Clusters

(2018) Zhuoran Zhao et al.   IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS

An Internet-of-Things (IoT) Network System for Connected Safety and Health Monitoring Applications

(2018) Fan Wu et al.   SENSORS

Mobile Edge Computing: A Survey on Architecture and Computation Offloading

(2017) Pavel Mach et al.   IEEE Communications Surveys and Tutorials

“Teach Me–Show Me”—End-User Personalization of a Smart Home and Companion Robot

(2016) Joe Saunders et al.   IEEE Transactions on Human-Machine Systems