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Modern Artificial Intelligence and Data Science Tools, Techniques and Systems
Title
Modern Artificial Intelligence and Data Science [electronic resource] : Tools, Techniques and Systems / edited by Abdellah Idrissi.
ISBN
9783031333095
Edition
1st ed. 2023.
Publication
Cham : Springer Nature Switzerland : Imprint: Springer, 2023.
Physical Description
1 online resource (XIII, 330 p.) 136 illus., 105 illus. in color.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
This Book, through its various chapters presenting the Recent Advances in Modern Artificial Intelligence and Data Science as well as their Applications, aims to set up lasting and real applications necessary for both academics and professionals. Readers find here the fruit of many research ideas covering a wide range of application areas that can be explored for the advancement of their research or the development of their business. These ideas present new techniques and trends projected in various areas of daily life. Through its proposals of new ideas, this Book serves as a real guide both for experienced readers and for beginners in these specialized fields. It also covers several applications that explain how they can support some societal challenges such as education, health, agriculture, clean energy, business, environment, security and many more. This Book is therefore intended for Designers, Developers, Decision-Makers, Consultants, Engineers, and of course Master's/Doctoral Students, Researchers and Academics.
Variant and related titles
Springer ENIN.
Other formats
Printed edition:
Printed edition:
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
September 19, 2023
Series
Studies in Computational Intelligence, 1102
Contents
T opKW S Algorithm in the Map-Reduce paradigm for Cloud Computing QoS Recommendation System
A New Context-Based Factorization Machines for Context-aware Recommender Systems
Review of Recommendation Systems and their Applications in e-Learning
Improvement of Courses Recommendation System using Divide and Conquer Algorithm
Deep Reinforcement Learning in Financial Markets Context: Review of Open Challenges
A Survey of Parallel Computing: Challenges, Methods and Directions
A bi-LSTM neural network to forecast stock Market Index
Fast Yolo V7 based CNN for video streaming Sea Ship recognition and sea surveillance
Graph convolutional network for multilingual sentiment analysis
Predicting Blood Glucose Levels in Type 1 Diabetes Using LSTM
Sarcasm Detection on Social Media using Machine Learning Approach
School Dropout Prediction using Machine Learning Algorithms
SURVIVAL PREDICTION IN PATIENTS WITH NASOPHARYNGEAL CANCER USING MACHINE LEARNING METHODS
Comparative Analysis of Skyline Algorithms used to Select Cloud Services based on QoS
A state-of-the-art Survey on Ransomware Detection Using Machine Learning & Deep Learning
Improving the Application of Blockchain Technology For Tracking Processes in the Supply Chain Integrated Business Intelligence
Studying Consensus Mechanisms for Blockchain
Design and Construction of a Smart Agricultural Greenhouse
Implementation and Management of a Home Automation Control System (Smart Home)
A comparative study of consensus algorithms used in Blockchain and their adaptation to the IoT networks
Dynamics behavior of vehicular traffic flow in a scale-free complex network
Customer Journey Map Discovery Approach
Unmanned aerial vehicle-assisted clustered wireless sensor network data collection efficiency improvement
Synergistic Fibroblast Optimization Algorithm for Solving Knapsack Problem
ACCEPTANCE OF JOB ACCESS WITH SPEECH (JAWS) AS AN ASSISTIVE COMPUTER APPLICATION SOFTWARE
Experimenting with Polymorphic Creativity Support Tools to Support Innovation in Participatory Ideation. .
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