Towards artificial general intelligence (agi) in the internet of things (iot): Opportunities and challenges
Artificial General Intelligence (AGI), possessing the capacity to comprehend, learn, and
execute tasks with human cognitive abilities, engenders significant anticipation and intrigue …
execute tasks with human cognitive abilities, engenders significant anticipation and intrigue …
Machine learning-based computation offloading in edge and fog: a systematic review
S Taheri-abed, AM Eftekhari Moghadam… - Cluster Computing, 2023 - Springer
Abstract Today, Mobile Cloud Computing (MCC) alone can no longer respond to the
increasing volume of data and satisfy the necessary delays in real-time applications. In …
increasing volume of data and satisfy the necessary delays in real-time applications. In …
Artificial intelligence vs. natural stupidity: Evaluating AI readiness for the vietnamese medical information system
This review paper presents a framework to evaluate the artificial intelligence (AI) readiness
for the healthcare sector in developing countries: a combination of adequate technical or …
for the healthcare sector in developing countries: a combination of adequate technical or …
An enhanced gated recurrent unit with auto-encoder for solving text classification problems
Classification has become an important task for automatically categorizing documents
based on their respective group. The purpose of classification is to assign the pre-specified …
based on their respective group. The purpose of classification is to assign the pre-specified …
Feature extraction for artificial intelligence enabled food supply chain failure mode prediction
H Trollman - Discover Food, 2024 - Springer
Abstract The Farm to Fork Strategy of the European Commission is a contingency plan
aimed at always ensuring a sufficient and varied supply of safe, nutritious, affordable, and …
aimed at always ensuring a sufficient and varied supply of safe, nutritious, affordable, and …
Predicting diarrhoea outbreaks with climate change
T Abdullahi, G Nitschke, N Sweijd - Plos one, 2022 - journals.plos.org
Background Climate change is expected to exacerbate diarrhoea outbreaks across the
developing world, most notably in Sub-Saharan countries such as South Africa. In South …
developing world, most notably in Sub-Saharan countries such as South Africa. In South …
Nancy: Neural adaptive network coding methodology for video distribution over wireless networks
This paper presents NANCY, a system that generates adaptive bit rates (ABR) for video and
adaptive network coding rates (ANCR) using reinforcement learning (RL) for video …
adaptive network coding rates (ANCR) using reinforcement learning (RL) for video …
A perspective overview on machine learning algorithms
S Nalini Durga, K Usha Rani - … and Bio-Engineering: Proceeding of the …, 2020 - Springer
The latest innovations of technology now a days, avails the massive collection of information
from various sources which leads to solve many real life challenges. The key challenge is to …
from various sources which leads to solve many real life challenges. The key challenge is to …
Machine learning-based read channel data detection
M Alex, X Xing - US Patent 11,080,621, 2021 - Google Patents
Technology for improved data detection using machine learning may include a method in
which an analog read signal comprising data read from a non-transitory storage medium of …
which an analog read signal comprising data read from a non-transitory storage medium of …
Travel time reliability prediction by genetic algorithm and machine learning models
SA Zargari, NA Khorshidi… - Proceedings of the …, 2022 - icevirtuallibrary.com
Travel time reliability is known to be a critical issue in the contexts of both travellers' choices
and decisions and freight transportation. The temporal variability of travel time is known as …
and decisions and freight transportation. The temporal variability of travel time is known as …