[PDF][PDF] AI-powered Sustainability Management in Enterprise Systems based on Cloud and Web Technology: Integrating IoT Data for Environmental Impact Reduction
J Issa, LM Abdulrahman, RM Abdullah… - Journal of Information …, 2024 - researchgate.net
A sophisticated network of computers and software that is connected in a manner that
enables the unrestricted exchange of information and communication is what we refer to as …
enables the unrestricted exchange of information and communication is what we refer to as …
A food recommendation system for predictive diabetic patients using ANN and CNN
NC Brintha, P Nagaraj, A Tejasri… - 2022 7th …, 2022 - ieeexplore.ieee.org
In the present society, many people are suffering from diabetes. To maintain a healthier diet,
people must track the number of food calories they consume daily, along with their total …
people must track the number of food calories they consume daily, along with their total …
A survey on deep reinforcement learning architectures, applications and emerging trends
S Balhara, N Gupta, A Alkhayyat, I Bharti… - IET …, 2022 - Wiley Online Library
From a future perspective and with the current advancements in technology, deep
reinforcement learning (DRL) is set to play an important role in several areas like …
reinforcement learning (DRL) is set to play an important role in several areas like …
Advanced detection of fungi-bacterial diseases in plants using modified deep neural network and DSURF
Food is indispensable for humans as their growth and survival depend on it. But nowadays,
crop is getting spoiled due to fungi and bacteria as soil temperature are changes very …
crop is getting spoiled due to fungi and bacteria as soil temperature are changes very …
Multi-classification deep neural networks for identification of fish species using camera captured images
Regular monitoring of the number of various fish species in a variety of habitats is essential
for marine conservation efforts and marine biology research. To address the shortcomings of …
for marine conservation efforts and marine biology research. To address the shortcomings of …
Cloud-based Parallel Computing System Via Single-Client Multi-Hash Single-Server Multi-Thread
ZN Rashid, SRM Zeebaree… - … on Advance of …, 2021 - ieeexplore.ieee.org
Parallel Distributed Processing is a relatively new method. Distributed cloud connects data
and applications delivered by utilizing cloud computing technologies from several …
and applications delivered by utilizing cloud computing technologies from several …
Food state recognition using deep learning
SS Alahmari, T Salem - Ieee Access, 2022 - ieeexplore.ieee.org
Automated food detection and recognition methods have been studied to enhance end-user
life. However, most existing research focused on food ingredient type recognition, with little …
life. However, most existing research focused on food ingredient type recognition, with little …
DFR-HL: Diabetic Food Recommendation Using Hybrid Learning Methods
Diabetes affects a large number of people in modern culture. Individuals must keep track of
food calories and total calories consumed daily to maintain a balanced diet. Type 2 diabetes …
food calories and total calories consumed daily to maintain a balanced diet. Type 2 diabetes …
[引用][C] The Distributed Machine Learning in Cloud Computing and Web Technology: A Review of Scalability and Efficiency
I Zeebaree - Journal of Information Technology and Informatics, 2024