Split computing: Dynamic partitioning and reliable communications in IoT-edge for 6G vision

J Karjee, K Anand, VN Bhargav, PS Naik… - … on Future Internet of …, 2021 - ieeexplore.ieee.org
Implementation of Deep Neural Networks (DNNs) in 6G era is expected to get widespread
attention in the applications of Internet of Things (IoT). Unfortunately, it is a challenging task …

Distributed artificial intelligence: review, taxonomy, framework, and reference architecture

N Janbi, I Katib, R Mehmood - Taxonomy, Framework, and …, 2023 - papers.ssrn.com
Artificial intelligence (AI) research and market have grown rapidly in the last few years and
this trend is expected to continue with many potential advancements and innovations in this …

Exploring compression and parallelization techniques for distribution of deep neural networks over edge–fog continuum–a review

A Nazir, RN Mir, S Qureshi - International Journal of Intelligent …, 2020 - emerald.com
Purpose The trend of “Deep Learning for Internet of Things (IoT)” has gained fresh
momentum with enormous upcoming applications employing these models as their …

Predictive management of failing portions in a data storage device

P Kale, RRN Bielby - US Patent 11,436,076, 2022 - Google Patents
Abstract Systems, methods and apparatus of predictive management of failing portions of
data storage media in a data storage device. For example, the data storage device can …

Optimizing the IoT Performance: A Case Study on Pruning a Distributed CNN

E Saqib, IS Leal, I Shallari, A Jantsch… - 2023 IEEE Sensors …, 2023 - ieeexplore.ieee.org
Implementing Convolutional Neural Networks (CNN) based computer vision algorithms in
Internet of Things (IoT) sensor nodes can be difficult due to strict computational, memory …

Automated deep learning model partitioning for heterogeneous edge devices

A Mukherjee, S Dey - … of the Second International Conference on AI-ML …, 2022 - dl.acm.org
Deep Neural Networks (DNN) have made machine learning accessible to a wide set of
practitioners working with field deployment of analytics algorithms over sensor data. Along …

Optimization of power usage of data storage devices

P Kale, RRN Bielby - US Patent 11,709,625, 2023 - Google Patents
Abstract Systems, methods and apparatuses to control power usage of a data storage
device. For example, the data storage device has a temperature sensor configured to …

Predictive maintenance of automotive tires

RRN Bielby, P Kale - US Patent 11,853,863, 2023 - Google Patents
Abstract Systems, methods and apparatus of predictive maintenance of automotive tires. For
example, a vehicle has: a tire and wheel assembly; one or more sensors configured on the …

Intelligent write-amplification reduction for data storage devices configured on autonomous vehicles

P Kale, RRN Bielby - US Patent 11,650,746, 2023 - Google Patents
US11650746B2 - Intelligent write-amplification reduction for data storage devices configured
on autonomous vehicles - Google Patents US11650746B2 - Intelligent write-amplification …

Intelligent climate control in vehicles

P Kale, RRN Bielby - US Patent 11,498,388, 2022 - Google Patents
Systems, methods and apparatus of climate control in vehicle cabins where occupants of
vehicles are located/seated. For example, a vehicle includes: a climate control system; and …