A Survey on Collaborative Learning for Intelligent Autonomous Systems
JCSD Anjos, KJ Matteussi, FC Orlandi… - ACM Computing …, 2023 - dl.acm.org
This survey examines approaches to promote Collaborative Learning in distributed systems
for emergent Intelligent Autonomous Systems (IAS). The study involves a literature review of …
for emergent Intelligent Autonomous Systems (IAS). The study involves a literature review of …
Generative deep learning for visual animation in landscapes design
The biggest challenge for architecture designers is the time required for the design process.
Especially landscape architects who have different work limits from architects in general. In …
Especially landscape architects who have different work limits from architects in general. In …
Development and Analysis of IoT based Smart Agriculture System for Heterogenous Nodes
S Bhatia, ZA Jaffery, S Mehfuz - 2023 International Conference …, 2023 - ieeexplore.ieee.org
The Internet of Things (IoT) integration with wireless sensor networks (WSNs) used in
various applications like smart cities, smart transportation, smart agriculture and real-time …
various applications like smart cities, smart transportation, smart agriculture and real-time …
An Energy-Aware Load Balancing Method for IoT-Based Smart Recycling Machines Using an Artificial Chemical Reaction Optimization Algorithm
S Tabaghchi Milan, M Darbandi, N Jafari Navimipour… - Algorithms, 2023 - mdpi.com
Recycling is very important for a sustainable and clean environment. Developed and
developing countries are both facing the problem of waste management and recycling …
developing countries are both facing the problem of waste management and recycling …
[PDF][PDF] AI Workload Allocation Methods for Edge-Cloud Computing: A Review
SA Rafea, AD Jasim - Al-Iraqia Journal for Scientific Engineering Research, 2023 - iasj.net
Edge computing is used with cloud computing as an extension to increase the performance
of delay-sensitive applications such as autonomous vehicles, healthcare systems, video …
of delay-sensitive applications such as autonomous vehicles, healthcare systems, video …
Review of DDoS Attack Detection in Big Data with Cloud using Machine Learning
P Radhika, S Kamalakkannan… - 2023 2nd International …, 2023 - ieeexplore.ieee.org
Cloud Computing (CC) is a massive breakthrough in Information Technology (IT) that
provides end users to access flexible and virtualized sources at affordable infrastructure cost …
provides end users to access flexible and virtualized sources at affordable infrastructure cost …
and Carlos Gordón İD GITED Research Group, Facultad de Ingeniería en Sistemas, Electrónica e Industrial, Universidad Técnica de Ambato, UTA, 180207 Ambato …
C Bautista, S Teneda, P Córdova - … : International Conference on …, 2023 - books.google.com
This work shows the design and implementation of a monitoring system for a hybrid energy
harvesting device based on the Internet of Things (IoT), with the purpose of acquiring real …
harvesting device based on the Internet of Things (IoT), with the purpose of acquiring real …
Machine Learning Model for Message Queuing Telemetry Transport Data Analytics
BH Lakshmi, M Navyasri, M Prasanna… - Turkish Journal of …, 2023 - turcomat.org
In the realm of MQTT data analytics, this project aims to accomplish the primary objective of
developing and evaluating machine learning models for the classification of MQTT …
developing and evaluating machine learning models for the classification of MQTT …