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  • 1
    ISBN: 9789811921261
    Language: English
    Pages: 1 Online-Ressource(XII, 478 p. 233 illus., 171 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Algorithms for Intelligent Systems
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Machine learning. ; Big data. ; Computer engineering. ; Computer networks .
    Abstract: Automatic Pathological Myopia detection using Ensemble Model -- Biased Online Media Analysis Using Machine Learning -- Multi-Robot Formation Control using Integral Third Order Super-Twisting Controller in Cyber-Physical Framework -- Visually Guided UGV for Autonomous Mobile Manipulation in Dynamic and Unstructured GPS Denied Environments -- Dynamics and Control of Quadrupedal Robot -- Automated Identification of Tachyarrhythmia from Different Datasets of Heart Rate Variability using a Hybrid Deep Learning Model -- Application of Complex Network Principles to Identify Key Stations in Indian Railway Network -- A review on transliterated text retrieval for Indian languages -- Disturbance Observer based Sliding Mode Controller with Mismatched Disturbance for Trajectory Tracking of a Quadrotor -- An Intelligent Game Theory Approach for Collision Avoidance of Multi-UAVs -- Revolutionary Solutions for Comprehensive Assessment of COVID–19 Pandemic -- Learning-Based Smart Parking System -- Coverless Information Hiding: A Review -- Manipulating muscle activity data from Electromyography for various applications using artificial intelligence -- Aerial Object Detection using Different Models of YOLO Architecture: A Comparative Study -- Anomalous Human Activity Detection using Stick Figure and Deep Learning Model -- Noise Removal in ECG Signals utilizing Fully Convolutional DAE -- Sensor-Based Secure Framework for IOT based Smart Homes -- Sketch-based face recognition -- Simplified TOPSIS for MLN-MODM problems -- Hidden Markov Modelling for Biological Sequence -- A Novel Ensemble Model to Summarize Kannada texts.
    Abstract: The book presents high quality research papers presented at International Conference on Computational Intelligence (ICCI 2021) held online during 27–28 December, 2021. The topics covered are artificial intelligence, neural network, deep learning techniques, fuzzy theory and systems, rough sets, self-organizing maps, machine learning, chaotic systems, multi-agent systems, computational optimization ensemble classifiers, reinforcement learning, decision trees, support vector machines, hybrid learning, statistical learning. metaheuristics algorithms: evolutionary and swarm-based algorithms like genetic algorithms, genetic programming, differential evolution, particle swarm optimization, whale optimization, spider monkey optimization, firefly algorithm, memetic algorithms. And also machine vision, Internet of Things, image processing, image segmentation, data clustering, sentiment analysis, big data, computer networks, signal processing, supply chain management, web and text mining, distributed systems, bioinformatics, embedded systems, expert system, forecasting, pattern recognition, planning and scheduling, time series analysis, human-computer interaction, web mining, natural language processing, multimedia systems, and quantum computing.
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  • 2
    Language: English
    Pages: 1 online resource (28 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: This IBM® Redpaper™ publication provides information to help you with the sizing, configuration, and monitoring of hybrid cloud solutions using the Cloud data sharing feature of IBM Spectrum Scale™. IBM Spectrum Scale, formerly IBM General Parallel File System (IBM GPFS™), is a scalable data and file management solution that provides a global namespace for large data sets along with several enterprise features. Cloud data sharing allows for the sharing and use of data between various cloud object storage types and IBM Spectrum Scale. Cloud data sharing can help with the movement of data in both directions, between file systems and cloud object storage, so that data is where it needs to be, when it needs to be there. This paper is intended for IT architects, IT administrators, storage administrators, and those who want to learn more about sizing, configuration, and monitoring of hybrid cloud solutions using IBM Spectrum Scale and Cloud data sharing.
    Note: Online resource; Title from title page (viewed February 14, 2017)
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