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A systematic review of Green AI
With the ever‐growing adoption of artificial intelligence (AI)‐based systems, the carbon
footprint of AI is no longer negligible. AI researchers and practitioners are therefore urged to …
footprint of AI is no longer negligible. AI researchers and practitioners are therefore urged to …
Autonomous vehicles enabled by the integration of IoT, edge intelligence, 5G, and blockchain
The wave of modernization around us has put the automotive industry on the brink of a
paradigm shift. Leveraging the ever-evolving technologies, vehicles are steadily …
paradigm shift. Leveraging the ever-evolving technologies, vehicles are steadily …
Sustainable ai: Environmental implications, challenges and opportunities
This paper explores the environmental impact of the super-linear growth trends for AI from a
holistic perspective, spanning Data, Algorithms, and System Hardware. We characterize the …
holistic perspective, spanning Data, Algorithms, and System Hardware. We characterize the …
Trustworthy ai: A computational perspective
In the past few decades, artificial intelligence (AI) technology has experienced swift
developments, changing everyone's daily life and profoundly altering the course of human …
developments, changing everyone's daily life and profoundly altering the course of human …
Edge intelligence: Paving the last mile of artificial intelligence with edge computing
With the breakthroughs in deep learning, the recent years have witnessed a booming of
artificial intelligence (AI) applications and services, spanning from personal assistant to …
artificial intelligence (AI) applications and services, spanning from personal assistant to …
Trustworthy graph neural networks: Aspects, methods, and trends
Graph neural networks (GNNs) have emerged as a series of competent graph learning
methods for diverse real-world scenarios, ranging from daily applications such as …
methods for diverse real-world scenarios, ranging from daily applications such as …
A survey on multi-objective hyperparameter optimization algorithms for machine learning
Hyperparameter optimization (HPO) is a necessary step to ensure the best possible
performance of Machine Learning (ML) algorithms. Several methods have been developed …
performance of Machine Learning (ML) algorithms. Several methods have been developed …
Energy-efficient edge based real-time healthcare support system
The ubiquitous usage of wearable IoT (wIoT) devices has created a formidable opportunity
for remote health monitoring system to provide paramount services such as preventive care …
for remote health monitoring system to provide paramount services such as preventive care …
Single-path nas: Designing hardware-efficient convnets in less than 4 hours
Can we automatically design a Convolutional Network (ConvNet) with the highest image
classification accuracy under the latency constraint of a mobile device? Neural architecture …
classification accuracy under the latency constraint of a mobile device? Neural architecture …
Edge-AI-driven framework with efficient mobile network design for facial expression recognition
Facial Expression Recognition (FER) in the wild poses significant challenges due to realistic
occlusions, illumination, scale, and head pose variations of the facial images. In this article …
occlusions, illumination, scale, and head pose variations of the facial images. In this article …