Electronic catalog

DDC 621
H 22

    Handbook of research on advanced mechatronic systems and intelligent robotics / / [edited by] Maki K. Habib. - 4018/978-1-7998-0137-5. - Hershey, PA : : IGI Global,, [2020]. - 1 online resource (xviii, 466 pages). ( час. мин.), 4018/978-1-7998-0137-5. - (Advances in computational intelligence and robotics (ACIR) book series). - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/B9307BC0-B370-4D3D-A301-B576EC40C627. - ISBN 9781799801610 (electronic book). - ISBN 1799801616 (electronic book). - ISBN 9781799801382 (electronic book). - ISBN 1799801381 (electronic book)
Description based on online resource; title from digital title page (viewed on October 21, 2019).
Параллельные издания: Print version: :
    Содержание:
Chapter 1. Design and implementation of a smart mechatronic elbow brace -- Chapter 2. CLARC: robotic platform to assist the CGA evaluation in elderly patients -- Chapter 3. Development of a novel parallel structure for gait rehabilitation -- Chapter 4. Mechatronic design of low-cost control systems for rehabilitation and assisting devices -- Chapter 5. Infrared thermography for intelligent robotic systems in research industry inspections: thermography in industry processes -- Chapter 6. Safe development environments for radiation tracing robots -- Chapter 7. Membrane micro electro-mechanical systems for industrial applications -- Chapter 8. Analyses on engineering mechanics of robotic arm for sorting multi-materials -- Chapter 9. Control of a wing type flat-plate for an ornithopter autonomous robot with differential flatness -- Chapter 10. Locomotion interfaces for legged robots: design inspiration from natural locomotion interfaces -- Chapter 11. A modular structured architecture using smart devices for socially-embedded robot partners -- Chapter 12. Incorporation of human facial expression into robot control -- Chapter 13. Design and implementation of a wireless robot for image processing -- Chapter 14. Detection of traffic signs and road users from a moving vehicle -- Chapter 15. A proposed trajectory planning algorithm for mobile robot navigation based on a algorithm -- Chapter 16. Dynamic modelling and control of an underactuated quasi-omnidireccional hexapod -- Chapter 17. Robust and intelligent control techniques for twin rotor system.

Handbook of research on advanced mechatronic systems and intelligent robotics / [Электронный ресурс] / [edited by] Maki K. Habib., [2020]. - 1 online resource (xviii, 466 pages). с. (Введено оглавление)

DDC 621.30285/63
A 67

    Applications of artificial intelligence in electrical engineering / / [edited by] Saifullah Khalid. - Hershey PA : : IGI Global, Engineering Science Reference,, [2020]. - 1 online resource (xxvi, 388 pages). : il. - (Advances in computational intelligence and robotics (ACIR) book series). - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/8816B3AC-E941-469B-A51F-A3C36F8A2240. - ISBN 9781799827207 (electronic book). - ISBN 1799827208 (electronic book). - ISBN 1799827216. - ISBN 9781799827214 (electronic bk.)
Description based on online resource; title from digital title page (viewed on April 10, 2020).
Параллельные издания: Print version: : Applications of artificial intelligence in electrical engineering. - Hershey PA : Engineering Science Reference, [2020]. - ISBN 9781799827184
    Содержание:
Chapter 1. ANFIS-SCC control of shunt active power filter for minimization of harmonics for more electric aircraft system -- Chapter 2. Maximum likelihood-based fuzzy adaptive Kalman filter applied to state estimation of permanent magnet synchronous motors -- Chapter 3. Methodology for model-based fuzzy kalman filter design via singular spectral analysis of experimental data -- Chapter 4. Fuzzy logic PI controller -- Chapter 5. Design of fuzzy logic controller for up to 25mw hydropower plant -- Chapter 6. FLC technique in smart grid for demand side management -- Chapter 7. Application of fingerprint-matching algorithm in smart gun using touch-less fingerprint recognition system -- Chapter 8. Comparative critical analysis of artificial intelligent technique and conventional control technique applied in series filter for harmonic reduction -- Chapter 9. Double fed induction generator control for wind power generation -- Chapter 10. Application of novel techniques in active power filter -- Chapter 11. AI in cognitive radio networks: its role and applications -- Chapter 12. Comparison of artificial intelligence-based solutions applied to economic load dispatch problem -- Chapter 13. Comparative study of stereo correspondence techniques for underwater images -- Chapter 14. Introduction to machine learning and its application -- Chapter 15. Machine learning with R -- Chapter 16. Improved Design and optimization of IIR filters by cascading of ABC, PSO, and CA -- Chapter 17. Design of linear phase FIR low pass filter using mutation-based particle swarm optimization technique.

Applications of artificial intelligence in electrical engineering / [Электронный ресурс] / [edited by] Saifullah Khalid., [2020]. - 1 online resource (xxvi, 388 pages). с. (Введено оглавление)

DDC 630.2/086
H 22

    Handbook of Research on Smart Computing for Renewable Energy and Agro-Engineering [[electronic resource].]. - [Б. м.] : Engineering Science Reference, 2019. - 1 online resource. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/4823AEF7-054B-4245-967F-3B04EE9D43B7. - ISBN 1799812189. - ISBN 9781799812180 (electronic bk.)
    Содержание:
Obtaining and using of biogas in agricultural production / Sergey Devyanin, Russian State Agrarian University -Moscow Timiryazev Agricultural Academy, Russian Federation, Vladimir Markov, Moscow State Technical University named after N.E. Bauman, Russian Federation, Andrei Savastenko, Moscow State Technical University (MADI), Russian Federation -- Modern Methods of Optimization in Models of Hydrothermal Coordination and Emission of Contaminating Particles in Power Generating Plants / Gilberto Pérez-Lechuga, University Autonomous of the Hidalgo State, Mexico -- Theoretical Studies of the Influence of the Elastic-Damping Mechanism in the Tractor Transmission : On the Functioning of the Machine-Tractor Unit / Sergey Senkevich, Federal State Budgetary Scientific Institution "Federal Scientific Agroengineering Center VIM", Russian Federation, Vladimir Kravchenko, FSBEI HE "Don State Agrarian University", Russian Federation, Pavel Lavrukhin, FSBEI HE "Don State Agrarian University", Russian Federation, Pavel Ivanov, FSBEI HE "Don State Agrarian University", Russian FederationAnna Senkevich, FSBEI HE "Don State Agrarian University", Russian Federation.

Handbook of Research on Smart Computing for Renewable Energy and Agro-Engineering [[electronic resource].], 2019. - 1 online resource с. (Введено оглавление)

DDC 362.10285
I 69

    Intelligent systems for healthcare management and delivery / / Nardjes Bouchemal, editor. - Hershey, PA : : Medical Information Science Reference,, [2019]. - 1 online resource. - (Advances in healthcare information systems and administration (AHISA) book series,). - Includes bibliographical references. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/AED0C247-69E7-4701-90D6-29982225B454. - ISBN 9781522570721 (electronic bk.). - ISBN 1522570721 (electronic bk.)
Print version record.
Параллельные издания: Print version: : Intelligent systems for healthcare management and delivery. - Hershey, PA : Medical Information Science Reference, [2019]. - ISBN 9781522570714
    Содержание:
Healthcare IoT architectures, technologies, applications and issues : a deep insight / Karthick GS, Pankajavalli PB -- Application of big data in digital epidemiology / Sameena Naaz, Farheen Siddiqui -- An ambient multi-agent system for healthcare monitoring of patients with chronic diseases / Imane Boussebough, Issam Eddine Chaib, Billel Boudjit -- Data analysis and integration in healthcare / Kara Evans, Elizabeth Baoying Wang -- Artificial intelligence in medical science / Shashwati Mishra, Mrutyunjaya Panda -- Research investigation and analysis on behavioural analytics, neuro imaging and pervasive sensory algorithms and techniques for autism diagnosis / Sasikala R., Sureshkumar N., John Vijay Sagar Kommu K. -- A forecasting model for patient arrivals of an emergency department in healthcare management systems / Melih Yucesan, Muhammet Gul, Suleyman Mete, Erkan Celik -- Application of AI for design of computer aided diagnosis system to detect breast cancer / Arnab Chattaraj, Arpita Das -- CaBANet : cloud assisted body area network for smart healthcare delivery system / M. Ambigavathi -- Deep learning and medical imaging / -- Nourhan Zayed, Heba Elnemr.

Intelligent systems for healthcare management and delivery / [Электронный ресурс] / Nardjes Bouchemal, editor., [2019]. - 1 online resource с. (Введено оглавление)

DDC 006.31
B 76
Bonaccorso, Giuseppe.
    Machine Learning Algorithms : : Popular Algorithms for Data Science and Machine Learning, 2nd Edition. / Giuseppe. Bonaccorso. - 2nd ed. - Birmingham : : Packt Publishing Ltd,, 2018. - 1 online resource (514 pages). - URL: https://library.dvfu.ru/lib/document/SK_ELIB/8603E122-AC9F-424A-B0D5-7128C268A9AB. - ISBN 9781789345483. - ISBN 1789345480
Introducing semi-supervised Support Vector Machines (S3VM). Print version record.
Параллельные издания: Print version: : Bonaccorso, Giuseppe. Machine Learning Algorithms : Popular Algorithms for Data Science and Machine Learning, 2nd Edition. - Birmingham : Packt Publishing Ltd, ©2018. - ISBN 9781789347999
    Содержание:
Cover; Title Page; Copyright and Credits; Dedication; Packt Upsell; Contributors; Table of Contents; Preface; Chapter 1: A Gentle Introduction to Machine Learning; Introduction -- classic and adaptive machines; Descriptive analysis; Predictive analysis; Only learning matters; Supervised learning; Unsupervised learning; Semi-supervised learning; Reinforcement learning; Computational neuroscience; Beyond machine learning -- deep learning and bio-inspired adaptive systems; Machine learning and big data; Summary; Chapter 2: Important Elements in Machine Learning; Data formats; Multiclass strategies.
One-vs-allOne-vs-one; Learnability; Underfitting and overfitting; Error measures and cost functions; PAC learning; Introduction to statistical learning concepts; MAP learning; Maximum likelihood learning; Class balancing; Resampling with replacement; SMOTE resampling; Elements of information theory; Entropy; Cross-entropy and mutual information ; Divergence measures between two probability distributions; Summary; Chapter 3: Feature Selection and Feature Engineering; scikit-learn toy datasets; Creating training and test sets; Managing categorical data; Managing missing features.
Data scaling and normalizationWhitening; Feature selection and filtering; Principal Component Analysis; Non-Negative Matrix Factorization; Sparse PCA; Kernel PCA; Independent Component Analysis; Atom extraction and dictionary learning; Visualizing high-dimensional datasets using t-SNE; Summary; Chapter 4: Regression Algorithms; Linear models for regression; A bidimensional example; Linear regression with scikit-learn and higher dimensionality; R2 score; Explained variance; Regressor analytic expression; Ridge, Lasso, and ElasticNet; Ridge; Lasso; ElasticNet; Robust regression; RANSAC.
Huber regressionBayesian regression; Polynomial regression; Isotonic regression; Summary; Chapter 5: Linear Classification Algorithms; Linear classification; Logistic regression; Implementation and optimizations; Stochastic gradient descent algorithms; Passive-aggressive algorithms; Passive-aggressive regression; Finding the optimal hyperparameters through a grid search; Classification metrics; Confusion matrix; Precision; Recall; F-Beta; Cohen's Kappa; Global classification report; Learning curve; ROC curve; Summary; Chapter 6: Naive Bayes and Discriminant Analysis; Bayes' theorem.

Bonaccorso, Giuseppe. Machine Learning Algorithms : [Электронный ресурс] : Popular Algorithms for Data Science and Machine Learning, 2nd Edition. / Giuseppe. Bonaccorso, 2018. - 1 online resource (514 pages) с. (Введено оглавление)

DDC 005.133
S 17
Saleh, Hyatt,.
    Machine learning fundamentals : : Use Python and scikit-learn to get up and running with the hottest developments in machine learning / / Hyatt Saleh. - Birmingham : : Packt Publishing,, ©2018. - 1 online resource (240 p.). - URL: https://library.dvfu.ru/lib/document/SK_ELIB/CE373E47-94E7-44E9-B874-2FCA503EFF44. - ISBN 1789801761 (electronic bk.). - ISBN 9781789801767 (electronic bk.)
Description based upon print version of record. Supervised Learning Algorithms: Predict Annual Income
Параллельные издания: Print version: : Saleh, Hyatt Machine Learning Fundamentals : Use Python and Scikit-Learn to Get up and Running with the Hottest Developments in Machine Learning. - Birmingham : Packt Publishing Ltd,c2018. - ISBN 9781789803556
    Содержание:
Intro; Preface; Introduction to Scikit-Learn; Introduction; Scikit-Learn; Advantages of Scikit-Learn; Disadvantages of Scikit-Learn; Data Representation; Tables of Data; Features and Target Matrices; Exercise 1: Loading a Sample Dataset and Creating the Features and Target Matrices; Activity 1: Selecting a Target Feature and Creating a Target Matrix; Data Preprocessing; Messy Data; Exercise 2: Dealing with Messy Data; Dealing with Categorical Features; Exercise 3: Applying Feature Engineering over Text Data; Rescaling Data; Exercise 4: Normalizing and Standardizing Data
Activity 2: Preprocessing an Entire DatasetScikit-Learn API; How Does It Work?; Supervised and Unsupervised Learning; Supervised Learning; Unsupervised Learning; Summary; Unsupervised Learning: Real-Life Applications; Introduction; Clustering; Clustering Types; Applications of Clustering; Exploring a Dataset: Wholesale Customers Dataset; Understanding the Dataset; Data Visualization; Loading the Dataset Using Pandas; Visualization Tools; Exercise 5: Plotting a Histogram of One Feature from the Noisy Circles Dataset; Activity 3: Using Data Visualization to Aid the Preprocessing Process
K-means AlgorithmUnderstanding the Algorithm; Exercise 6: Importing and Training the k-means Algorithm over a Dataset; Activity 4: Applying the k-means Algorithm to a Dataset; Mean-Shift Algorithm; Understanding the Algorithm; Exercise 7: Importing and Training the Mean-Shift Algorithm over a Dataset; Activity 5: Applying the Mean-Shift Algorithm to a Dataset; DBSCAN Algorithm; Understanding the Algorithm; Exercise 8: Importing and Training the DBSCAN Algorithm over a Dataset; Activity 6: Applying the DBSCAN Algorithm to the Dataset; Evaluating the Performance of Clusters
Available Metrics in Scikit-LearnExercise 9: Evaluating the Silhouette Coefficient Score and Calinski-Harabasz Index; Activity 7: Measuring and Comparing the Performance of the Algorithms; Summary; Supervised Learning: Key Steps; Introduction; Model Validation and Testing; Data Partition; Split Ratio; Exercise 10: Performing Data Partition over a Sample Dataset; Cross Validation; Exercise 11: Using Cross-Validation to Partition the Train Set into a Training and a Validation Set; Activity 8: Data Partition over a Handwritten Digit Dataset; Evaluation Metrics
Evaluation Metrics for Classification TasksExercise 12: Calculating Different Evaluation Metrics over a Classification Task; Choosing an Evaluation Metric; Evaluation Metrics for Regression Tasks; Exercise 13: Calculating Evaluation Metrics over a Regression Task; Activity 9: Evaluating the Performance of the Model Trained over a Handwritten Dataset; Error Analysis; Bias, Variance, and Data Mismatch; Exercise 14: Calculating the Error Rate over Different Sets of Data; Activity 10: Performing Error Analysis over a Model Trained to Recognize Handwritten Digits; Summary

Saleh, Hyatt,. Machine learning fundamentals : [Электронный ресурс] : Use Python and scikit-learn to get up and running with the hottest developments in machine learning / / Hyatt Saleh., ©2018. - 1 online resource (240 p.) с. (Введено оглавление)

DDC 006.35
G 42
Ghosh, Sohom.
    Natural Language Processing Fundamentals [[electronic resource] :] : Build Intelligent Applications That Can Interpret the Human Language to Deliver Impactful Results. / Sohom. Ghosh, Gunning, Dwight. - Birmingham : : Packt Publishing Ltd,, 2019. - 1 online resource (375 p.). - URL: https://library.dvfu.ru/lib/document/SK_ELIB/5C01CD45-4B16-4B85-A512-F7FA1ACAC07C. - ISBN 178995598X. - ISBN 9781789955989 (electronic bk.)
Description based upon print version of record.
Параллельные издания: Print version: : Ghosh, Sohom Natural Language Processing Fundamentals : Build Intelligent Applications That Can Interpret the Human Language to Deliver Impactful Results. - Birmingham : Packt Publishing Ltd,c2019. - ISBN 9781789954043

Ghosh, Sohom. Natural Language Processing Fundamentals [[electronic resource] :] : Build Intelligent Applications That Can Interpret the Human Language to Deliver Impactful Results. / Sohom. Ghosh, Gunning, Dwight., 2019. - 1 online resource (375 p.) с.

DDC 006.3
J 41
Jennings, Charles, (1948-).
    Artificial Intelligence : : rise of the lightspeed learners / / Charles Jennings. - Lanham : : Rowman & Littlefield, an imprint of The Rowman & Littlefield Publishing Group, Inc.,, [2019]. - 1 online resource. - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/6AD5113D-F980-48D2-B327-04BD0BC893CF. - ISBN 1538116812. - ISBN 9781538116814 (electronic bk.)
Description based on print version record and CIP data provided by publisher; resource not viewed.
Параллельные издания: Print version: : Jennings, Charles, 1948 author. Artificial Intelligence. - Lanham : Rowman & Littlefield, an imprint of The Rowman & Littlefield Publishing Group, Inc., [2019]. - ISBN 9781538116807
    Содержание:
An uncanny ability to learn -- Not your father's AI -- The singularity games -- Truckin' in flip flops -- Ben Franklin's purse -- A modest proposal -- Uncle Sam vs. Red Star -- The porn star's deepfake, and other security paradoxes -- Ais in the government henhouse -- The AI casino -- Artificially Intelligent poetry? -- The way forward.

Jennings, Charles,. Artificial Intelligence : [Электронный ресурс] : rise of the lightspeed learners / / Charles Jennings., [2019]. - 1 online resource с. (Введено оглавление)

DDC 005.13/3
A 81
Artasanchez, Alberto,.
    Artificial intelligence with Python : : your complete guide to building intelligent apps using Python 3.x and TensorFlow 2 / / Alberto Artasanchez, Prateek Joshi. - Second edition. - Birmingham : : Packt Publishing,, ©2020. - 1 online resource. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/4ECBF943-D676-42FF-B9CF-5915EFE21B5C. - ISBN 1839216077 (electronic bk.). - ISBN 9781839216077 (electronic bk.)
Includes index. Online resource ; title from PDF title page (EBSCO, viewed March 17, 2020).

Artasanchez, Alberto,. Artificial intelligence with Python : [Электронный ресурс] : your complete guide to building intelligent apps using Python 3.x and TensorFlow 2 / / Alberto Artasanchez, Prateek Joshi., ©2020. - 1 online resource с.

DDC 658.514
K 83
Krishnakumar, Arunkumar,.
    Quantum computing and Blockchain in business : : exploring the applications, challenges, and collision of quantum computing and blockchain / / Arunkumar Krishnakumar. - Birmingham, UK : : Packt Publishing,, 2020. - 1 online resource (1 volume) : : il. - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/C008D8F0-78E0-40D9-A848-113FB8EAF8B7. - ISBN 1838646132. - ISBN 9781838646134 (electronic bk.)
Description based on online resource; title from title page (Safari, viewed September 3, 2020).
    Содержание:
Table of ContentsIntroduction to Quantum Computing and BlockchainQuantum Computing - Key Discussion PointsThe Data EconomyThe Impact on Financial ServicesInterview with Dr. Dave Snelling, Fujitsu FellowThe Impact on Healthcare and PharmaInterview with Dr. B. Rajathilagam, Head of AI Research, Amrita Vishwa VidyapeethamThe Impact on GovernanceInterview with Max Henderson, Senior Data Scientist, Rigetti and QxBranchThe Impact on Smart Cities and EnvironmentInterview with Sam McArdle, Quantum Computing Researcher at the University of OxfordThe Impact on ChemistryThe Impact on Logistics(N.B. Please use the Look Inside option to see further chapters).

Krishnakumar, Arunkumar,. Quantum computing and Blockchain in business : [Электронный ресурс] : exploring the applications, challenges, and collision of quantum computing and blockchain / / Arunkumar Krishnakumar., 2020. - 1 online resource (1 volume) : с. (Введено оглавление)