Search Results - (((((((ant OR wantis) OR semantic) OR find) OR cantor) OR anne) OR plane) OR hints) algorithms.

Interventional therapies for secondary and essential hypertension

Table of Contents: “…2.8.3 Adrenalectomy Versus Medical Therapy2.9 Diagnostic and Therapeutic Algorithm; 2.9.1 Alternative Diagnostic Algorithms; 2.9.2 Expert Comment; Conclusion; References; 3: Pheochromocytoma/Paragangliomas; 3.1 Introduction; 3.2 Clinical Aspects; 3.3 Diagnosis; 3.3.1 Laboratory Findings; 3.3.2 Anatomical Imaging; 3.3.3 Functional Imaging; 3.4 Treatment; 3.4.1 Medical; 3.4.2 Surgical; 3.4.3 Palliative Therapy; 3.5 Follow-Up; References; 4: Coarctation of the Aorta; 4.1 Clinical Presentation and Diagnosis; 4.2 Indications for Intervention; 4.3 Therapy; 4.4 Surgical Treatment…”
Full text (MFA users only)

SMART ANTENNAS, ELECTROMAGNETIC INTERFERENCE AND MICROWAVE ANTENNAS FOR WIRELESS COMMUNICATIONS.

Table of Contents: “…Cover -- Half-Title -- RIVER PUBLISHERS SERIES IN COMMUNICATIONS AND NETWORKING -- Title -- Copyrights page -- Contents -- Preface -- List of Contributors -- List of Figures -- List of Tables -- List of Abbreviations -- Chapter 1 Speech Signal Extraction from Transmitted Signal Using Multilevel Mixed Signal -- 1.1 Introduction -- 1.2 Literature Survey -- 1.2.1 The fast ICA algorithm revisited: Convergence analysis -- 1.2.2 FPGA implementation of IC algorithm for blind signal separation and noise cancelling -- 1.2.3 Subjective comparison and evaluation of speech enhancement algorithms…”
Full text (MFA users only)

Mastering Machine Learning with Spark 2.x. by Tellez, Alex

Table of Contents: “…; A day in the life of a data scientist; Working with big data; The machine learning algorithm using a distributed environment; Splitting of data into multiple machines; From Hadoop MapReduce to Spark; What is Databricks?…”
Full text (MFA users only)

Spectral sensing research for surface and air monitoring in chemical, biological and radiological defense and security applications

Table of Contents: “…Grasso [and others] -- Three dimensional flash ladar gocal planes and time dependent imaging / R. Stettner, H. …”
Full text (MFA users only)

What to Do When Machines Do Everything : Five Ways Your Business Can Thrive in an Economy of Bots, AI, and Data. by Frank, Malcolm

Table of Contents: “…What to Do When Machines Do Everything: How to Get Ahead in a World of AI, Algorithms, Bots, and Big Data; Contents; Preface; 1: When Machines Do Everything; Like It or Not, This Is Happening; Digital That Matters; Playing the New Game; But Will I Be Automated Away?…”
Full text (MFA users only)

Numerical Methods for Eigenvalue Problems. by Börm, Steffen

Full text (MFA users only)

Clojure for data science : statistics, big data, and machine learning for Clojure programmers by Garner, Henry

Full text (MFA users only)

Complexity : a guided tour by Mitchell, Melanie (Computer scientist)

Full text (MFA users only)

Dermatologic principles and practice in oncology : conditions of the skin, hair, and nails in cancer patients

Table of Contents: “…Borovicka, Jennifer R.S. Gordon, Ann Cameron Haley, Nicole E. Larson and Dennis P. …”
Full text (MFA users only)

Computational ecology : artificial neural networks and their applications by Zhang, Wenjun

Full text (MFA users only)

Frontiers of manufacturing science and measuring technology IV : selected, peer reviewed papers from the 2014 4th International Conference on Frontiers of Manufacturing Science and...

Full text (MFA users only)

Chemical engineering and material properties III : selected, peer reviewed papers from the 2014 4th International Symposium on Chemical Engineering and Material Properties (ISCEMP...

Full text (MFA users only)

Infinite Products of Operators and Their Applications. by Reich, Simeon

Full text (MFA users only)

The birth of computer vision by Dobson, James E.

Full text (MFA users only)

Time Sequence Analysis in Geophysics, Third Edition. by Kanasewich, E. R.

Table of Contents: “…Laplace transforms and complex s plane representation; 5. Impulse response, convolution and the transfer function; 6. …”
Full text (MFA users only)

Design studies and intelligence engineering

Table of Contents: “…Intro -- Title Page -- Preface -- Contents -- PSIC3839: Predicting the Overall Emotion and Depth of Entire Songs -- Research on Noise Control of Product Symbol Communication Channel-Take a Small Rice Mill for Example -- Towards Better Data Pre-Processing for Building Recipe Recommendation Systems from Industrial Fabric Dyeing Manufacturing Records: Categorization of Coloration Properties for a Dye Combination on Different Fabrics -- A Multi-Robot Planning Algorithm with Quad Tree Map Division for Obstacles of Irregular Shape…”
Full text (MFA users only)

Modeling semi-arid water-soil-vegetation systems by Wang, Xixi

Full text (MFA users only)

Principles of artificial neural networks by Graupe, Daniel

Table of Contents: “…Fundamentals of biological neural networks -- ch. 3. Basic principles of ANNs and their early structures. 3.1. Basic principles of ANN design. 3.2. …”
Full text (MFA users only)

Node Web Development. by Herron, David, 1820-1900

Table of Contents: “…Npm -- the Node package managerStarting Node servers at system startup; Summary; Chapter 3: Node Modules; Defining a module; Node modules; Node's algorithm for resolving require(module); Module identifiers and path names; Local modules within your application; Bundling external dependencies with your application; System-wide modules in NODE_PATH and elsewhere; Complex modules -- modules as directories; Node package manager; The npm package format; Finding npm packages; Using the npm commands; Getting help with npm; Viewing package information; Installing an npm package.…”
Full text (MFA users only)

Building Machine Learning Systems with Python. by Richert, Willi

Table of Contents: “…A more complex dataset and a more complex classifierLearning about the Seeds dataset; Features and feature engineering; Nearest neighbor classification; Binary and multiclass classification; Summary; Chapter 3: Clustering -- Finding Related Posts; Measuring the relatedness of posts; How not to do it; How to do it; Preprocessing -- similarity measured as similar number of common words; Converting raw text into a bag-of-words; Counting words; Normalizing the word count vectors; Removing less important words; Stemming; Installing and using NLTK; Extending the vectorizer with NLTK's stemmer.…”
Full text (MFA users only)