Structured pruning for deep convolutional neural networks: A survey
The remarkable performance of deep Convolutional neural networks (CNNs) is generally
attributed to their deeper and wider architectures, which can come with significant …
attributed to their deeper and wider architectures, which can come with significant …
Hardware approximate techniques for deep neural network accelerators: A survey
Deep Neural Networks (DNNs) are very popular because of their high performance in
various cognitive tasks in Machine Learning (ML). Recent advancements in DNNs have …
various cognitive tasks in Machine Learning (ML). Recent advancements in DNNs have …
Full stack optimization of transformer inference: a survey
Recent advances in state-of-the-art DNN architecture design have been moving toward
Transformer models. These models achieve superior accuracy across a wide range of …
Transformer models. These models achieve superior accuracy across a wide range of …
AI in renewable energy: A review of predictive maintenance and energy optimization
A Hamdan, KI Ibekwe, VI Ilojianya, S Sonko… - International Journal of …, 2024 - ijsra.net
In the dynamic landscape of the burgeoning renewable energy sector, optimizing energy
output, ensuring robust infrastructure maintenance, and seamless integration into the grid …
output, ensuring robust infrastructure maintenance, and seamless integration into the grid …
[HTML][HTML] A survey on optimization techniques for edge artificial intelligence (ai)
C Surianarayanan, JJ Lawrence, PR Chelliah… - Sensors, 2023 - mdpi.com
Artificial Intelligence (Al) models are being produced and used to solve a variety of current
and future business and technical problems. Therefore, AI model engineering processes …
and future business and technical problems. Therefore, AI model engineering processes …
Scope of machine learning applications for addressing the challenges in next‐generation wireless networks
RK Samanta, B Sadhukhan… - CAAI Transactions …, 2022 - Wiley Online Library
The convenience of availing quality services at affordable costs anytime and anywhere
makes mobile technology very popular among users. Due to this popularity, there has been …
makes mobile technology very popular among users. Due to this popularity, there has been …
Carsnn: An efficient spiking neural network for event-based autonomous cars on the loihi neuromorphic research processor
A Viale, A Marchisio, M Martina… - … Joint Conference on …, 2021 - ieeexplore.ieee.org
Autonomous Driving (AD) related features provide new forms of mobility that are also
beneficial for other kind of intelligent and autonomous systems like robots, smart …
beneficial for other kind of intelligent and autonomous systems like robots, smart …
Embedded machine learning using microcontrollers in wearable and ambulatory systems for health and care applications: A review
MS Diab, E Rodriguez-Villegas - IEEE Access, 2022 - ieeexplore.ieee.org
The use of machine learning in medical and assistive applications is receiving significant
attention thanks to the unique potential it offers to solve complex healthcare problems for …
attention thanks to the unique potential it offers to solve complex healthcare problems for …
Towards energy-efficient and secure edge AI: A cross-layer framework ICCAD special session paper
The security and privacy concerns along with the amount of data that is required to be
processed on regular basis has pushed processing to the edge of the computing systems …
processed on regular basis has pushed processing to the edge of the computing systems …
Explainable Artificial Intelligence (EXAI) models for early prediction of Parkinson's Disease based on spiral and Wave drawings
S Saravanan, K Ramkumar, K Narasimhan… - IEEE …, 2023 - ieeexplore.ieee.org
Parkinson's disease (PD) is a rapidly growing neurodegenerative disorder that primarily
affects the elderly population. Until now, there has been no antidote for PD. However …
affects the elderly population. Until now, there has been no antidote for PD. However …