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261
From AI to autonomous and connected vehicles : advanced driver-assistance systems (ADAS)
Published 2021Full text (MFA users only)
Electronic eBook -
262
Studies in stemmatology
Published 1996Table of Contents: “…STUDIES IN STEMMATOLOGY; Title page; Copyright page; Table of contents; Prologue; State of the Art; Computational Analysis; LachmannRevisited?; Graphs and Trees; Auxiliary Disciplines to a Preliminary Discipline?…”
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263
Drilling of composite materials
Published 2009Table of Contents: “…Studies on Composites Drilling -- The State of the ArtAbstract; Introduction of Composites; Drilling of Composites; Methodologies; Conclusion; Acknowledgments; References; Index.…”
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264
Electronic Batch Recording Solutions : Introduction of an Evaluation Model for the Pharmaceutical Industry.
Published 2017Table of Contents: “…Integrated evaluation model -- 4.1 Design guidelines of the performance evaluation model -- 4.2 Integrated evaluation model for EBRS -- 4.3 Evaluation index system -- 4.4 Evaluation aspects describing the organizational dimension -- 4.5 The evaluation algorithm -- 5. Application of evaluation model…”
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265
The Politics of Technology in Latin America (Volume 1) : Data Protection, Homeland Security and the Labor Market.
Published 2020Table of Contents: “…8. Algorithmic Law -- A Legal Framework for Artificial Intelligence in Latin America -- 9. …”
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266
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267
Frontiers of Artificial Intelligence in Medical Imaging.
Published 2023Table of Contents: “…5.5 Electromagnetic field optimization algorithm -- 5.6 Developed electromagnetic field optimization algorithm -- 5.7 Simulation results -- 5.7.1 Image acquisition -- 5.7.2 Pre-processing stage -- 5.7.3 Processing stage -- 5.7.4 Classification -- 5.8 Final evaluation -- 5.9 Conclusions -- References -- Chapter 6 Evaluation of COVID-19 lesion from CT scan slices: a study using entropy-based thresholding and DRLS segmentation -- 6.1 Introduction -- 6.2 Context -- 6.3 Methodology -- 6.3.1 COVID-19 database -- 6.3.2 Image conversion and pre-processing -- 6.3.3 Image thresholding…”
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268
Handbook of biometrics for forensic science
Published 2017Table of Contents: “…Preface; Contents; 1 Biometric Technologies for Forensic Science and Policing: State of the Art; Abstract; 1.1 A Short Historical Introduction and Forensic Context; 1.2 Recent Developments of Biometric Technologies in Forensic Science; 1.3 Challenges; 1.4 Conclusions; Acknowledgements; References; Analysis of Fingerprints and Fingermarks; 2 Capture and Analysis of Latent Marks; Abstract; 2.1 Introduction; 2.2 Fingerprint Characteristics; 2.3 Conventional Latent Mark Acquisition Techniques; 2.4 Contact-Less Latent Mark Acquisition Techniques; 2.5 Latent Mark Analysis Process.…”
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269
Natural language processing and computational linguistics. 1 : speech morphology and syntax
Published 2016Full text (MFA users only)
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270
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271
Human-assisted intelligent computing : modeling, simulations and applications
Published 2023Table of Contents: “…1. Machine learning algorithms to improve crop evapotranspiration prediction covering a broad range of environmental gradients in agriculture 4.0 : a review / Parijata Majumdar, Diptendu Bhattacharya, Sanjoy Mitra and Mukhdeep Singh Manshahia -- 2. …”
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272
Mathematical programming and game theory for decision making
Published 2008Full text (MFA users only)
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273
Inside jokes : using humor to reverse-engineer the mind
Published 2011Table of Contents: “…-- Emotions -- The rationality of emotions -- The irrationality of emotions -- Emotional algorithms -- A few implications.…”
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274
Fog computing : theory and practice
Published 2020Table of Contents: “…Mobile Fog Computing: Architectures, Approaches and Open Challenges / Satish Narayana Srirama -- Edge Devices: A Survey, Use Cases and Future Challenges / Cosmin Avasalcai -- Deep Learning in the Era of Edge Computing: Opportunities and Challenges / Mi Zhang -- Caching, Security, and Mobility in Content Centric Networking / Osman Khalid -- Security and Privacy Issues in Fog Computing / Hasan Ali Khattak -- How Fog Computing Can Support Latency/Reliability-sensitive IoT Applications: An Overview and a Taxonomy of State-of-the-Art Solutions / Sajal Das -- Harnessing the Computing Continuum for Programming Our World / Jack Dongara -- Fog Computing for Energy Harvesting-Enabled Internet of Things / George K. …”
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276
Power and energy systems III : selected, peer reviewed papers from the 2013 3rd International Conference on Power and Energy Systems (ICPES 2013), November 23-24, Bangkok, Thailand
Published 2014Table of Contents: “…Appropriate Electric Energy Conservation Measures for Big Mosques in Riyadh CityBayesian Algorithm Based on Airborne Power Supply System; Study on the Cooling System of Super-Capacitors for Hybrid Electric Vehicle; A Charging Management of Electric Vehicles Based on Campus Survey Data; Back-EMF Position Detection Technology for Brushless DC Motor; Stress State of Turbine Blade Root and Rim Considering Manufacturing Variations; Analysis on a Gas Turbine Sealing Disk Structure and Material Strength; A Kind of Adjustable Electric Heating Pipe Power Electrode Preparation Equipment.…”
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277
Discrete element model and simulation of continuous materials behavior set. Volume 1, Discrete element method to model 3D continuous materials
Published 2015Table of Contents: “…Organization; 1: State of the Art: Discrete Element Modeling; 1.1. Introduction; 1.2. …”
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278
Nonlinear estimation and applications to industrial systems control
Published 2012Table of Contents: “…General Approach; Remarks; 5. Algorithm Description; FD Algorithm.…”
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279
Fundamentals of patenting and licensing for scientists and engineers
Published 2009Table of Contents: “…Innovation harvesting. 5.1. Knowing the art. 5.2. Patentability test. 5.3. Patenting beyond core algorithms. 5.4. …”
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280
Mathematical Methods in Interdisciplinary Sciences.
Published 2020Table of Contents: “…1.2.2.1 Architecture of Single-Layer LgNN Model -- 1.2.2.2 Training Algorithm of Laguerre Neural Network (LgNN) -- 1.2.2.3 Gradient Computation of LgNN -- 1.3 Methodology for Solving a System of Fredholm Integral Equations of Second Kind -- 1.3.1 Algorithm -- 1.4 Numerical Examples and Discussion -- 1.4.1 Differential Equations and Applications -- 1.4.2 Integral Equations -- 1.5 Conclusion -- References -- Chapter 2 Deep Learning in Population Genetics: Prediction and Explanation of Selection of a Population -- 2.1 Introduction -- 2.2 Literature Review -- 2.3 Dataset Description…”
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