Go to main content

AI and IoT for sustainable development in emerging countries : challenges and opportunities / Zakaria Boulouard, Mariya Ouaissa, Mariyam Ouaissa, Sarah El Himer, editors.

Boulouard, Zakaria, editor.; Ouaissa, Mariya, editor.; Ouaissa, Mariyam, editor.; El Himer, Sarah, editor.
2022
HC79.E5 A5 2022
Available Online
Formats
Format
BibTeX
MARCXML
TextMARC
MARC
DublinCore
EndNote
NLM
RefWorks
RIS
Add to Basket
Cite
Citation

Linked e-resources

Linked Resource
Online Access
Concurrent users
Unlimited
Authorized users
Authorized users
Document Delivery Supplied
Can lend chapters, not whole ebooks

Details

Title
AI and IoT for sustainable development in emerging countries : challenges and opportunities / Zakaria Boulouard, Mariya Ouaissa, Mariyam Ouaissa, Sarah El Himer, editors.
ISBN
9783030906184 (electronic bk.)
3030906183 (electronic bk.)
9783030906177
3030906175
DOI
https://doi.org/10.1007/978-3-030-90618-4
Published
Cham : Springer, [2022]
Copyright
©2022
Language
English
Description
1 online resource : illustrations (chiefly color).
Item Number
10.1007/978-3-030-90618-4 doi
Call Number
HC79.E5 A5 2022
Dewey Decimal Classification
338.9/27
Summary
This book comprises a number of state-of-the-art contributions from both scientists and practitioners working in a large pool of fields where AI and IoT can open up new horizons. Artificial intelligence and Internet of Things have introduced themselves today as must-have technologies in almost every sector. Ranging from agriculture to industry and health care, the scope of applications of AI and IoT is as wide as the horizon. Nowadays, these technologies are extensively used in developed countries, but they are still at an early stage in emerging countries. AI and IoT for Sustainable Development in Emerging CountriesChallenges and Opportunities is an invaluable source to dive into the latest applications of AI and IoT and how they have been used by researchers from emerging countries to solve sustainable development-related issues by taking into consideration the specifities of their countries. This book starts by presenting how AI and IoT can tackle the challenges of sustainable development in general and then focuses on the following axes: AI and IoT for smart environment and energy Industry 4.0 and intelligent transportation A vision towards an artificial intelligence of medical things AI, social media, and big data analytics. It aspires to provide a relevant reference for students, researchers, engineers, and professionals working in these particular areas or those interested in grasping its diverse facets and exploring the latest advances on their respective fields and the role of AI and IoT in them.
Access Note
Access limited to authorized users.
Digital File Characteristics
text file PDF
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed February 16, 2022).
Added Author
Boulouard, Zakaria, editor.
Ouaissa, Mariya, editor.
Ouaissa, Mariyam, editor.
El Himer, Sarah, editor.
Series
Lecture notes on data engineering and communications technologies ; volume 105.
Available in Other Form
Print version: 9783030906177
Linked Resources
Online Access
Record Appears in
Online Resources > Ebooks
All Resources
Achieving Sustainable Development Goals Through Digital Infrastructure for Intelligent Connectivity
Implementation of Intelligent Iot
Cyber Security Challenges for Smart Cities
Efficient Machine Learning Technique for Early Detection of Iot Botnets
Ai-Based Smart Robot for Restaurant Serving Applications
A Novel Deep Learning Architecture Based Iot Time-Series for Energy Consumption Forecasting in Smart Households
Performances of Cpv Optics in Morocco
Artificial Intelligence Based on Particle Swarm Optimization for Optimal Wind Turbine Power Control Using Doubly Fed Induction Generator
A Comparative Study Between Narx And Lstm Models in Predicting Ozone Concentrations: Case of Agadir City (Morocco)
Spatiotemporal Prediction of Pm2.5 Concentrations Based on Iot Sensors: A Case of Study in Taiwan
Comparative Study Between Different Recommendation Systems in Smart Agriculture
Configuration Security for Sustainable Digital Twins of Industrial Automation And Control Systems in Emerging Countries
An Empirical Investigation on Lean Method Usage: Issues And Challenges in Afghanistan
Optimization of the Effects Oscillation Welding: Sinusoidal and Triangular Beam During Laser Beam Welding of 5052-H32 Aluminum Alloy.

Browse Subjects

Show more subjects...

Statistics

from
to
Export