Future Crimes: Mysteries and Detection Through Time and Space by John Brunner
English | May 19, 2021 | ISBN: N/A | ASIN: B095HZVLPS | 286 pages | EPUB | 0.76 Mb
Telepaths, time machines and alien encounters collide with the crime and mystery genre in this new collection exploring the space where detective stories and science fiction meet.

English | 2022 | ISBN: 103213920X | 167 pages | True PDF | 12.04 MB
Deepfakes is a synthetic media that leverage powerful Artificial Intelligence (AI) and machine learning (ML) techniques to generate fake visual and audio content that are extremely realistic, thus making it very hard for a human to distinguish from the original ones. Apart from technological introduction to the Deepfakes concept, the book details algorithms to detect Deepfakes, techniques for identifying manipulated content and identifying face swap, generative adversarial neural networks, media forensic techniques, deep learning architectures, forensic analysis of DeepFakes and so forth.
Provides a technical introduction to DeepFakes, its benefits, and the potential harms

Tutar Y Protein Detection 2022 | 6.72 MB
N/A | 110 Pages

Title: Optimum Nutrition Gold Standard 100% Whey Protein Powder, Double Rich Chocolate, 5 Pound (Packaging May Vary)
Author: ITexLi - Спизжено у exLib : https://avxhm.se/blogs/exLib
Year: 2006

Algorithms and VLSI Implementations of MIMO Detection
English | 2022 | ISBN: 3031045114 | 252 Pages | PDF EPUB (True) | 8 MB
This book provides a detailed overview of detection algorithms for multiple-input multiple-output (MIMO) communications systems focusing on their hardware realisation. The book begins by analysing the maximum likelihood detector, which provides the optimal bit error rate performance in an uncoded communications system. However, the maximum likelihood detector experiences a high complexity that scales exponentially with the number of antennas, which makes it impractical for real-time communications systems. The authors proceed to discuss lower-complexity detection algorithms such as zero-forcing, sphere decoding, and the K-best algorithm, with the aid of detailed algorithmic analysis and several MATLAB code examples. Furthermore, different design examples of MIMO detection algorithms and their hardware implementation results are presented and discussed. Finally, an ASIC design flow for implementing MIMO detection algorithms in hardware is provided, including the system simulation and modelling steps and register transfer level modelling using hardware description languages.

Detection, Estimation, and Modulation Theory - Part l - Detection, Estimation, and Linear Modulation Theory By Van Trees, Harry L.
2001 | 732 Pages | ISBN: 0471095176 | PDF | 14 MB
Written in the same accessible style as Van Tree's earlier classics, this completely new work covers all modern applications of array signal processing, from biomedicine to wireless communications. Highly readable paperback reprint of one of the great time-tested classics in the field of signal processing Together with the reprint of Part III and the new Part IV, this will be the most complete treatment of the subject available As imperative today as it was when it originally published Has important applications in radar, sonar, communications, seismology, biomedical engineering, and astronomy Includes section summaries, examples, and a large number of problems

Surveillance and Surveillance Detection: A CIA Insider's Guide by John C. Kiriakou
English | July 26, 2022 | ISBN: 1510756108 | True EPUB | 168 pages | 35.4 MB
Have you ever thought you were being followed or watched? Have you ever needed to follow or observe someone and not be seen?

Iniewski K Advanced X-Ray Radiation Detection Applications 2023 | 73.74 MB
N/A | 381 Pages

Title: Advanced X-Ray Radiation Detection: Medical Imaging and Industrial Applications
Author: Krzysztof (Kris) Iniewski
Year: 2015

A Guide to Fire and Gas Detection Design in Hazardous Industries
English | 2022 | ISBN: 9781003246725 | 153 pages | True PDF | 7.37 MB
In the last 15 years, the field of fire and gas mapping has grown extensively, yet very little is published on the subject. The text includes deeper discussions on important engineering factors associated with fire and gas detection, along with anecdotes and examples.

Environmental Immunochemical Analysis Detection of Pesticides and Other Chemicals. A User's Guide By Shirley J. Gee, Bruce D. Hammock and Jeanette M. Van Emon (Auth.)
1996 | 112 Pages | ISBN: 0815513976 | PDF | 2 MB
Content: Executive summary, Pages v-viiAcknowledgments, Page viiiPreface, Page ixSection 1 - Introduction, Pages 1-6Section 2 - Preparing the laboratory, Pages 7-8Section 3 - Laboratory considerations, Pages 9-13Section 4 - Immunoassay tutorials for selected environmental analytes, Pages 14-53Section 5 - Tutorials for support techniques, Pages 54-85Section 6 - Glossary of Commonly Used Terms in Immunoassay, Pages 86-90Appendix I - Performance assurance for air displacement pipettes, Pages 91-102Appendix II - Performance log and performance test worksheets for air displacement pipettors, Pages 103-106Abbreviations and acronyms, Page 107

Data Reconciliation and Gross Error Detection. An Intelligent Use of Process Data By Shankar Narasimhan and Cornelius Jordache (Auth.)
2000 | 411 Pages | ISBN: 0884152553 | PDF | 6 MB
This is an excellent book on the subject - the authors have covered all the bases. If you want a book on data reconciliation and gross error detection, this is as complete and thorough a book as I can imagine. - Les A. Kane, Editor, Advanced Process Control and Information Systems Content: Acknowledgments, Pages xiii-xivPreface, Pages xv-xvii1 - The Importance of Data Reconciliation and Gross Error Detection, Pages 1-312 - Measurement Errors and Error Reduction Techniques, Pages 32-583 - Linear Steady-State Data Reconciliation, Pages 59-844 - Steady-State Data Reconciliation for Bilinear Systems, Pages 85-1185 - Nonlinear Steady-State Data Reconciliation, Pages 119-1416 - Data Reconciliation in Dynamic Systems, Pages 142-1737 - Introduction to Gross Error Detection, Pages 174-2258 - Multiple Gross Error Identification Strategies for Steady-State Processes, Pages 226-2809 - Gross Error Detection in Linear Dynamic Systems, Pages 281-29910 - Design of Sensor Networks, Pages 300-32611 - Industrial Applications of Data Reconciliation and Gross Error Detection Technologies, Pages 327-372Appendix A - Basic Concepts in Linear Algebra, Pages 373-377Appendix B - Graph Theory Fundamentals, Pages 378-383Appendix C - Fundamentals of Probability and Statistics, Pages 384-393Index, Pages 394-402Author Index, Pages 403-405The Authors, Page 406