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E-BooksSpeaker Classification I Fundamentals, Features, and Methods



Speaker Classification I Fundamentals, Features, and Methods
Free Download Speaker Classification I: Fundamentals, Features, and Methods by Christian Müller
English | PDF | 2007 | 362 Pages | ISBN : 3540741860 | 8.5 MB
As well as conveying a message in words and sounds, the speech signal carries information about the speaker's own anatomy, physiology, linguistic experience and mental state. These speaker characteristics are found in speech at all levels of description: from the spectral information in the sounds to the choice of words and utterances themselves.



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E-BooksHeat Exchangers Classification, Selection, and Thermal Design



Heat Exchangers Classification, Selection, and Thermal Design
Free Download Heat Exchangers
Volume I: Classification, Selection, and Thermal Design
by Kuppan Thulukkanam



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E-BooksClassification and Modeling with Linguistic Information Granules Advanced Approaches to Linguistic Data Mining



Classification and Modeling with Linguistic Information Granules Advanced Approaches to Linguistic Data Mining
Free Download Classification and Modeling with Linguistic Information Granules: Advanced Approaches to Linguistic Data Mining by Hisao Ishibuchi , Tomoharu Nakashima , Manabu Nii
English | PDF | 2005 | 308 Pages | ISBN : 3540207678 | 14.6 MB
Many approaches have already been proposed for classification and modeling in the literature. These approaches are usually based on mathematical mod els. Computer systems can easily handle mathematical models even when they are complicated and nonlinear (e.g., neural networks). On the other hand, it is not always easy for human users to intuitively understand mathe matical models even when they are simple and linear. This is because human information processing is based mainly on linguistic knowledge while com puter systems are designed to handle symbolic and numerical information. A large part of our daily communication is based on words. We learn from various media such as books, newspapers, magazines, TV, and the Inter net through words. We also communicate with others through words. While words play a central role in human information processing, linguistic models are not often used in the fields of classification and modeling. If there is no goal other than the maximization of accuracy in classification and model ing, mathematical models may always be preferred to linguistic models. On the other hand, linguistic models may be chosen if emphasis is placed on interpretability.



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E-BooksThulukkanam K Heat Exchangers Vol 1 Classification,Selection, Design 3ed 2024




Thulukkanam K  Heat Exchangers Vol 1  Classification,Selection,  Design 3ed 2024

Thulukkanam K Heat Exchangers Vol 1 Classification,Selection, Design 3ed 2024 | 222.29 MB
N/A | 1245 Pages

Title: Heat Exchanger Design Handbook, Second Edition
Author: Thulukkanam, Kuppan
Year: N/A




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E-BooksClassification Algorithms for Codes and Designs



Classification Algorithms for Codes and Designs
Free Download Classification Algorithms for Codes and Designs by Petteri Kaski , Patric R.J. Östergård
English | PDF | 2006 | 414 Pages | ISBN : 3540289909 | 4 MB
A new starting-point and a new method are requisite, to insure a complete [classi?cation of the Steiner triple systems of order 15]. This method was furnished, and its tedious and di?cult execution und- taken, by Mr. Cole. F. N. Cole, L. D. Cummings, and H. S. White (1917) [129] The history of classifying combinatorial objects is as old as the history of the objects themselves. In the mid-19th century, Kirkman, Steiner, and others became the fathers of modern combinatorics, and their work - on various objects, including (what became later known as) Steiner triple systems - led to several classi?cation results. Almost a century earlier, in 1782, Euler [180] published some results on classifying small Latin squares, but for the ?rst few steps in this direction one should actually go at least as far back as ancient Greece and the proof that there are exactly ?ve Platonic solids. One of the most remarkable achievements in the early, pre-computer era is the classi?cation of the Steiner triple systems of order 15, quoted above. An onerous task that, today, no sensible person would attempt by hand calcu- tion. Because, with the exception of occasional parameters for which com- natorial arguments are e?ective (often to prove nonexistence or uniqueness), classi?cation in general is about algorithms and computation.



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E-BooksClassification and Data Science in the Digital Age



Classification and Data Science in the Digital Age
Free Download Classification and Data Science in the Digital Age by Paula Brito, José G. Dias, Berthold Lausen, Angela Montanari, Rebecca Nugent
English | PDF (True) | 2023 | 393 Pages | ISBN : 3031090330 | 23.9 MB
The contributions gathered in this book focus on modern methods for data science and classification and present a series of real-world applications. Numerous research topics are covered, ranging from statistical inference and modeling to clustering and dimension reduction, from functional data analysis to time series analysis, and network analysis. The applications reflect new analyses in a variety of fields, including medicine, marketing, genetics, engineering, and education.



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E-BooksProgress on Pattern Classification, Image Processing and Communications



Progress on Pattern Classification, Image Processing and Communications
Free Download Progress on Pattern Classification, Image Processing and Communications
English | 2023 | ISBN: 3031416295 | 391 Pages | PDF EPUB (True) | 46 MB
This book presents a collection of high-quality research papers accepted to multi-conference consisting of the 13th International Conference on Image Processing and Communications (IP&C 2023), the 13th International Conference on Computer Recognition Systems (CORES 2023) held jointly in Wroclaw, Poland (virtually), in June 2023.



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Video TrainingTensorFlow Developer Certificate – Image Classification



TensorFlow Developer Certificate – Image Classification
Free Download TensorFlow Developer Certificate – Image Classification
Released 11/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English + vtt | Duration: 2h 34m | Size:
As part of the TensorFlow Developer certification, this course focuses on computer vision. By the end of the course, you will know everything to build computer vision neural networks that can handle complex real-world images using TensorFlow.



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Video TrainingDeep Learning Image Classification in PyTorch 2.0



Deep Learning Image Classification in PyTorch 2.0
Free Download Deep Learning Image Classification in PyTorch 2.0
Published 11/2023
Created by Pooja Dhouchak,FatheVision AI
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 31 Lectures ( 4h 26m ) | Size: 3.3 GB



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Video TrainingTrain Classification & Object Detection Models for Flutter



Train Classification & Object Detection Models for Flutter
Free Download Train Classification & Object Detection Models for Flutter
Published 10/2023
Created by Hamza Asif
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 64 Lectures ( 4h 46m ) | Size: 3.46 GB



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