research
∙
06/16/2023
Dynamic Decision Tree Ensembles for Energy-Efficient Inference on IoT Edge Nodes
With the increasing popularity of Internet of Things (IoT) devices, ther...
share
research
∙
06/08/2023
Precision-aware Latency and Energy Balancing on Multi-Accelerator Platforms for DNN Inference
The need to execute Deep Neural Networks (DNNs) at low latency and low p...
research
∙
04/12/2023
Efficient Deep Learning Models for Privacy-preserving People Counting on Low-resolution Infrared Arrays
Ultra-low-resolution Infrared (IR) array sensors offer a low-cost, energ...
research
∙
01/24/2023
Lightweight Neural Architecture Search for Temporal Convolutional Networks at the Edge
Neural Architecture Search (NAS) is quickly becoming the go-to approach ...
research
∙
09/02/2022
Human Activity Recognition on Microcontrollers with Quantized and Adaptive Deep Neural Networks
Human Activity Recognition (HAR) based on inertial data is an increasing...
research
∙
06/17/2022
Channel-wise Mixed-precision Assignment for DNN Inference on Constrained Edge Nodes
Quantization is widely employed in both cloud and edge systems to reduce...
research
∙
06/16/2022
A Machine Learning-based Digital Twin for Electric Vehicle Battery Modeling
The widespread adoption of Electric Vehicles (EVs) is limited by their r...
research
∙
06/01/2022
Multi-Complexity-Loss DNAS for Energy-Efficient and Memory-Constrained Deep Neural Networks
Neural Architecture Search (NAS) is increasingly popular to automaticall...
research
∙
05/27/2022
Adaptive Random Forests for Energy-Efficient Inference on Microcontrollers
Random Forests (RFs) are widely used Machine Learning models in low-powe...
research
∙
05/25/2022
Ultra-compact Binary Neural Networks for Human Activity Recognition on RISC-V Processors
Human Activity Recognition (HAR) is a relevant inference task in many mo...
research
∙
04/22/2022
Privacy-preserving Social Distance Monitoring on Microcontrollers with Low-Resolution Infrared Sensors and CNNs
Low-resolution infrared (IR) array sensors offer a low-cost, low-power, ...
research
∙
04/08/2022
C-NMT: A Collaborative Inference Framework for Neural Machine Translation
Collaborative Inference (CI) optimizes the latency and energy consumptio...
research
∙
04/07/2022
Energy-Efficient Adaptive Machine Learning on IoT End-Nodes With Class-Dependent Confidence
Energy-efficient machine learning models that can run directly on edge d...
research
∙
03/28/2022
Pruning In Time (PIT): A Lightweight Network Architecture Optimizer for Temporal Convolutional Networks
Temporal Convolutional Networks (TCNs) are promising Deep Learning model...
research
∙
03/28/2022
Robust and Energy-efficient PPG-based Heart-Rate Monitoring
A wrist-worn PPG sensor coupled with a lightweight algorithm can run on ...
research
∙
03/24/2022
Q-PPG: Energy-Efficient PPG-based Heart Rate Monitoring on Wearable Devices
Hearth Rate (HR) monitoring is increasingly performed in wrist-worn devi...
research
∙
03/24/2022
Bioformers: Embedding Transformers for Ultra-Low Power sEMG-based Gesture Recognition
Human-machine interaction is gaining traction in rehabilitation tasks, s...
research
∙
03/24/2022
TCN Mapping Optimization for Ultra-Low Power Time-Series Edge Inference
Temporal Convolutional Networks (TCNs) are emerging lightweight Deep Lea...
research
∙
03/01/2022