AI and IoT for Sustainable Development in Emerging Countries: Challenges and Opportunities
- Length: 656 pages
- Edition: 1
- Language: English
- Publisher: Springer
- Publication Date: 2022-02-01
- ISBN-10: 3030906175
- ISBN-13: 9783030906177
- Sales Rank: #0 (See Top 100 Books)
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 Countries―Challenges 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.
Cover Front Matter AIoT and Challenges for Sustainable Development 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 AI and IoT for Smart Environment and Energy 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 Concentrations Based on IoT Sensors Comparative Study Between Different Recommendation Systems in Smart Agriculture Industry 4.0 and Intelligent Transportation 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 The Internet of Things Solutions for Transportation A Novel GAN-Based System for Time Series Generation: Application to Autonomous Vehicles Scenarios Generation Fuzzy Set Theory-Based Approach for Mining Spatial Association Rules: Road Accident as a Case Study A Mobile Application for Real-Time Detection of Road Traffic Violations A Vision Towards an Artificial Intelligence of Medical Things IoT Based Health Monitoring System and Its Challenges and Opportunities Wireless Body Sensor Networks: Applications, Challenges, Patient Monitoring, Decision Making, and Machine Learning in Medical Applications A Novel Lossless EEG Compression Model Using Fractal Combined with Fixed-Length Encoding Technique Securing the Hyperconnected Healthcare Ecosystem Multi-class Classification for the Identification of COVID-19 in X-Ray Images Using Customized Efficient Neural Network Design of an Efficient Rectenna for RF Energy Harvesting for IoT Medical Implants A Review: Recent Automatic Algorithms for the Segmentation of Brain Tumor MRI IoT Based Machine Learning and Deep Learning Platform for COVID-19 Prevention and Control: A Systematic Review Oncology with Artificial Intelligence: Classification of Cancer Using Deep Learning Techniques AI, Social Media, and Big Data Analytics A k-Mean Classification Study of Eight Community Detection Algorithms: Application to Synthetic Social Network Datasets Topic Modeling for Short Texts: A Novel Modeling Method Prediction and Analysis of Moroccan Elections Using Sentiment Analysis Analysis of COVID-19 Trends in Bangladesh: A Machine Learning Analysis Digital Transformation and Costumers Services in Emerging Countries: Loan Prediction Modeling in Modern Banking Transactions
Donate to keep this site alive
1. Disable the AdBlock plugin. Otherwise, you may not get any links.
2. Solve the CAPTCHA.
3. Click download link.
4. Lead to download server to download.