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230911 ||| eng |
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|a 9783031333095
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| 100 |
1 |
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|a Idrissi, Abdellah
|e [editor]
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| 245 |
0 |
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|a Modern Artificial Intelligence and Data Science
|h Elektronische Ressource
|b Tools, Techniques and Systems
|c edited by Abdellah Idrissi
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| 250 |
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|a 1st ed. 2023
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| 260 |
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|a Cham
|b Springer Nature Switzerland
|c 2023, 2023
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| 300 |
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|a XIII, 330 p. 136 illus., 105 illus. in color
|b online resource
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| 505 |
0 |
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|a 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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| 505 |
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|a 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 --
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| 505 |
0 |
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|a 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 --
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| 653 |
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|a Computational intelligence
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| 653 |
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|a Artificial Intelligence
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| 653 |
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|a Computational Intelligence
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| 653 |
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|a Data Engineering
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| 653 |
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|a Artificial intelligence
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| 653 |
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|a Engineering / Data processing
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
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| 490 |
0 |
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|a Studies in Computational Intelligence
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| 028 |
5 |
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|a 10.1007/978-3-031-33309-5
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| 856 |
4 |
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|u https://doi.org/10.1007/978-3-031-33309-5?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
0 |
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|a 620.00285
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| 520 |
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|a 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
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