Arama Sonuçları - (( ((chess OR class) OR hess) player ) OR ( ((chess OR class) OR hess) layer ))

Comprehensive chess course volumes I & II : (from beginner to advanced player in 24 lessons) / Yazar: Pelts, Roman, 1937-

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İsmail Gelenbevi'nin satranç risalesi /

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Education, retirement and career transitions for 'Black' ex-professional footballers : 'from being idolised to stacking shelves' / Yazar: Campbell, Paul

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Adaptive Dynamic Programming: Single and Multiple Controllers Yazar: Song, Ruizhuo, Wei, Qinglai, Li, Qing

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Euro-Mediterranean relations after the Arab spring persistence in times of change /

İçindekiler: “…: renegotiating the authoritarian social contract in Egypt / Cilja Harders -- Blocked middle classes as an engine of change in the Arab world? …”
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Web, Artificial Intelligence and Network Applications Proceedings of the Workshops of the 33rd International Conference on Advanced Information Networking and Applications (WAINA-2...

İçindekiler: “…Adaptive Waveform Design of Polarimetric Radar for Extended Targets in Signal-Dependent Clutter -- CRAWL: A Trace Routing Algorithm based on Hybrid Two-layer Topology -- Design and Implementation of IoT based Automatic Class Attendance Monitoring System using ComputerVision and Embedded Linux Platform -- An Indoor 3D Positioning Technology based on NB-IoT -- Consideration of Implementation Method for the Cloud Type Virtual Policy Based Network Management Scheme for the Specific Domain -- A Model of Virtual Machines to Support Storage Processes -- Energy Efficient Scheduling of Smart Home -- Minimizing Daily Cost and Maximizing User Comfort using a New Metaheuristic Technique -- Efficiency Analysis of TFHE Fully Homomorphic Encryption Software Library Based on GPU -- NADEEM: A Novel Reliable Data Delivery Routing Protocol for Underwater WSNs.…”
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Proceedings of the International Conference on Microelectronics, Computing & Communication Systems MCCS 2015 /

İçindekiler: “…A Secure Three-Factor Remote User Authentication Scheme Using Elliptic Curve Cryptosystem -- Implementation of Fingerprint-Based Biometric System and Its Integration With Hrms Application At Rdcis, Sail -- Fabrication and Investigation of Low Voltage Programmable Flash Memory Gate Stac -- An Effective Method For Maintenance Scheduling of Vehicles Using Neural Network -- Universally Verifiable Certificateless Signcryption Scheme For Manet -- Impact of Sidewall Spacer Layers On The Analog/Rf Performance of Nanoscale Double-Gate Junctionless Transistors -- A Novel Data Encryption Approach In The Grid Structured Binary Image -- Analysis of Electromagnetic Wave Using Explicit FDTD in TM Mode with Extrapolation -- A Dea Based Evolutionary Computation Model For Stock Market Forecasting -- Electrical Equivalent Model For Gene Regulatory System -- Colour Image Segmentation Techniques: A Survey -- Wireless Image Sensor Networks: A Review -- Design of A Low Cost Heart Rate Monitoring System -- Design of Da Based Fir Filter Architectures Using Lut Reduction Techniques -- Fractional Delay Fir Filter Architecture Using Numeric Strength Reduction Techniques -- Lifetime Enhancement of Wsn Based On Modified Heterogeneous Leach Protocol -- Modeling and Investigation of Electrothermally Actuated Micro-Gripper -- An Ultra Low Power Internet Controlled Home Automation System -- Depth Averaged Velocity Distribution For Symmetrical and Asymmetrical Compound Channels -- A 0.533 Db Noise Figure, 7 Mw Narrowband  Low Noise Amplifier For Global Position System Application -- Design of Ultra Low Power Cmos Class E Power Amplifier -- Cryptic Mining For Automatic Variable Key Based Cryptosystem -- Single Mode Negative Dispersion Hexagonal Photonic Crystal Fiber -- Improved Clustering For Categorical Data With Genetic Algorithm -- Balanced Wrapper Design To Test The Embedded Core Partitioned Into Multiple Layer For 3d Soc Targeting Power and Number of TSVS -- Investigations On The Logic Performance of Hybrid Cmosfets Comprising P-Ge/ N-Ingaas Mosfets With  Barrier Layers -- Antenna Path Loss Propagation Model In The Dehradun Valley At 1800 Mhz In L- Band -- Reduction of Dark Current In Qwip -- Design of Circular Disc Monopole Antenna For Uwb Application.…”
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Urban Water Trajectories

İçindekiler: “…TOXI-CITY: Protecting World-Class Drinking Water -- 3. Reading Urban Futures Through Their Blue Infrastructure: Wetland Networks In Bangalore and Madurai, India -- 4. …”
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Complex Systems and Networks Dynamics, Controls and Applications /

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The Ambient Intelligent Classroom Beyond the Indispensable Educator / Yazar: Montebello, Matthew

İçindekiler: “…1 Introduction -- 1.1 Introduction -- 1.2 Teacher-Centred Pedagogy -- 1.3 Student-Centred and Reflexive Methodologies -- 1.4 Learning Modalities and Affordances -- 1.5 Conclusion -- References -- 2 Ambient Intelligence -- 2.1 Introduction -- 2.2 Historical Background -- 2.2.1 Ubiquitous and Pervasive -- 2.2.2 Internet of Things -- 2.2.3 Smart and Calm Computing -- 2.3 Enabling Technologies -- 2.3.1 Techniques -- 2.3.2 Sensors -- 2.3.3 Setups -- 2.4 AmI in Action -- 2.4.1 Assisted Living -- 2.4.2 Transportation -- 2.4.3 Civic Environments -- 2.5 Case for the Classroom -- 2.5.1 Social Dimension -- 2.5.2 Technological Dimension -- 2.5.3 Educational Dimension -- 2.6 Conclusion -- References -- 3 Social Aspect -- 3.1 Introduction -- 3.2 Human Aspect of a Classroom -- 3.2.1 Multidimensionality -- 3.2.2 Simultaneity -- 3.2.3 Immediacy -- 3.2.4 Unpredictability -- 3.2.5 Publicness -- 3.2.6 History -- 3.3 Connectivism Learning Theory -- 3.4 Related Work -- 3.5 Implications to the AmI Classroom -- 3.6 Conclusion -- References -- 4 Technological Aspect -- 4.1 Introduction -- 4.2 Technology in Education -- 4.3 Adaptive Learning Theory -- 4.4 Related Work -- 4.4.1 The 'Intelligent Classroom' -- 4.4.2 iClass -- 4.4.3 ClassMATE -- 4.5 Implications to the AmI Classroom -- 4.5.1 Unobtrusive Hardware -- 4.5.2 Seamless Communication Infrastructure -- 4.5.3 Distributed Device Network -- 4.5.4 Intuitive User Interface -- 4.5.5 Dependable and Secure -- 4.5.6 Learner Profile and the Educator -- 4.5.7 Compatibility and Scope -- 4.5.8 Fruitfulness and Role -- 4.5.9 Student Outcome and Clarity -- 4.6 Conclusion -- References -- 5 Educational Aspect -- 5.1 Introduction -- 5.2 Learning Models -- 5.2.1 New Learning Affordances -- 5.2.2 Modalities and Spaces within a School Environment -- 5.2.3 Merging Models -- 5.3 Personal Learning Environment -- 5.3.1 Personal Learning Network -- 5.3.2 Personal Learning Portfolio -- 5.3.3 Ambient Intelligent PLE -- 5.4 Related Work -- 5.4.1 Psychological Type Model -- 5.4.2 Learner Type Model -- 5.4.3 Experiential Type Model -- 5.4.4 Personality Type Model -- 5.4.5 Experiences Type Model -- 5.5 Implications to the AmI Classroom -- 5.6 Conclusion -- References -- 6 The Ambient Intelligent Classroom -- 6.1 Introduction -- 6.2 Background Rationale -- 6.2.1 Scenario Description -- 6.2.2 Virtual Space -- 6.2.3 Physical Space -- 6.2.4 Converging Technologies -- 6.3 Architectural Design -- 6.3.1 AmI-PLE -- 6.3.2 Smart Classroom -- 6.3.3 Combined Educational Environment -- 6.4 Implementation Details -- 6.4.1 Software Development -- 6.4.2 Classroom Setup -- 6.4.3 Interoperability Affairs -- 6.5 Empirical Testing -- 6.5.1 The Human Aspect -- 6.5.2 The Software Aspect -- 6.5.3 The Physical Aspect -- 6.6 Conclusion -- References -- 7 Future Directions -- 7.1 Introduction -- 7.2 Learning 4.0 -- 7.2.1 Complete Automation -- 7.2.2 Global Knowledge -- 7.2.3 Assessment Repurposed -- 7.3 Evolving Educator -- 7.3.1 Digital Educator -- 7.3.2 Social Advocate -- 7.3.3 LifeLong Learner -- 7.4 Digital Learners -- 7.4.1 Technology Adopter -- 7.4.2 Social Player -- 7.4.3 New Skills Assessed -- 7.5 Education Environments -- 7.5.1 AI Enabled -- 7.5.2 Authenticating Sources -- 7.5.3 Holistic Skills -- 7.6 Conclusion -- References -- Glossary -- References.…”
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Economic Model Predictive Control Theory, Formulations and Chemical Process Applications / Yazar: Ellis, Matthew, Liu, Jinfeng, Christofides, Panagiotis D.

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Proceedings of ELM-2015 Volume 1 Theory, Algorithms and Applications (I) /

İçindekiler: “…Object Recognition with Deep Convolutional Features from ImageNet -- Learning with Similarity Functions: a Novel Design for the Extreme Learning Machine -- A Semi-Supervised Low Rank Kernel Learning Algorithm via Extreme Learning Machine -- Application of Extreme Learning Machine on Large Scale Traffic Congestion Prediction -- Extreme Learning Machine-Guided Collaborative Coding for Remote Sensing Image Classification -- Distributed Weighted Extreme Learning Machine for Big Imbalanced Data Learning -- NMR Image Segmentation based on Unsupervised Extreme Learning Machine -- Annotating Location Semantic Tags in LBSN Using Extreme Learning Machine -- Feature Extraction of Motor Imagery EEG based on Extreme Learning Machine Auto-Encoder -- Multimodal Fusion using Kernel-based ELM for Video Emotion Recognition -- Equality Constrained-Optimization-Based Semi-Supervised ELM for Modeling -- Signal Strength Temporal Variation in Indoor Location Estimation Extreme Learning Machine with Gaussian Kernel Based Relevance Feedback Scheme for Image Retrieval -- Routing Tree Maintenance based on Trajectory Prediction in Mobile Sensor Networks -- Two-Stage Hybrid Extreme Learning Machine for Sequential Imbalanced Data -- Feature Selection and Modelling of a Steam Turbine from a Combined Heat and Power Plant Using ELM -- On The Construction of Extreme Learning Machine for One Class Classifier -- Record Linkage for Event Identification in XML Feeds Stream Using ELM -- Timeliness Online Regularized Extreme Learning Machine -- An Efficient High-dimensional Big Data Storage Structure Based on US-ELM -- An Enhanced Extreme Learning Machine for Efficient Small Sample Classification -- Code Generation Technology of Digital Satellite -- ELM-based Velocity Inversion for Sandstone Reservoir in Yanqi Gas-Field -- Class-Constrained Extreme Learning Machine. .…”
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Deep Learning : Foundations and Concepts. Yazar: Bishop, Christopher M.

İçindekiler: “…The Bias-Variance Trade-off -- Exercises -- 5 Single-layer Networks: Classification -- 5.1. Discriminant Functions -- 5.1.1 Two classes -- 5.1.2 Multiple classes -- 5.1.3 1-of-K coding -- 5.1.4 Least squares for classification -- 5.2. …”
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Neural Network Computer Vision with OpenCV 5. Yazar: Nuti, Gopi Krishna

İçindekiler: “…OpenCV DNN Module -- Introduction -- Structure -- Objectives -- Deep learning frameworks -- TensorFlow -- PyTorch -- Keras -- Inference for computer vision -- Local inferencing -- Local CPUs -- Local GPUs -- Cloud -- Edge computing -- OpenCV DNN module -- History -- Features and limitations -- Capabilities -- Limitations -- Considerations -- Supported layers -- Unsupported layers and operations -- Important classes -- Conclusion -- Exercises -- 7. …”
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New Classification Method Based on Modular Neural Networks with the LVQ Algorithm and Type-2 Fuzzy Logic Yazar: Amezcua, Jonathan, Melin, Patricia, Castillo, Oscar

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Deep Learning with Python, Second Edition. Yazar: Chollet, Francois

İçindekiler: “…9.3.5 Putting it together: A mini Xception-like model -- 9.4 Interpreting what convnets learn -- 9.4.1 Visualizing intermediate activations -- 9.4.2 Visualizing convnet filters -- 9.4.3 Visualizing heatmaps of class activation -- Summary -- 10 Deep learning for timeseries -- 10.1 Different kinds of timeseries tasks -- 10.2 A temperature-forecasting example -- 10.2.1 Preparing the data -- 10.2.2 A common-sense, non-machine learning baseline -- 10.2.3 Let's try a basic machine learning model -- 10.2.4 Let's try a 1D convolutional model -- 10.2.5 A first recurrent baseline -- 10.3 Understanding recurrent neural networks -- 10.3.1 A recurrent layer in Keras -- 10.4 Advanced use of recurrent neural networks -- 10.4.1 Using recurrent dropout to fight overfitting -- 10.4.2 Stacking recurrent layers -- 10.4.3 Using bidirectional RNNs -- 10.4.4 Going even further -- Summary -- 11 Deep learning for text -- 11.1 Natural language processing: The bird's eye view -- 11.2 Preparing text data -- 11.2.1 Text standardization -- 11.2.2 Text splitting (tokenization) -- 11.2.3 Vocabulary indexing -- 11.2.4 Using the TextVectorization layer -- 11.3 Two approaches for representing groups of words: Sets and sequences -- 11.3.1 Preparing the IMDB movie reviews data -- 11.3.2 Processing words as a set: The bag-of-words approach -- 11.3.3 Processing words as a sequence: The sequence model approach -- 11.4 The Transformer architecture -- 11.4.1 Understanding self-attention -- 11.4.2 Multi-head attention -- 11.4.3 The Transformer encoder -- 11.4.4 When to use sequence models over bag-of-words models -- 11.5 Beyond text classification: Sequence-to-sequence learning -- 11.5.1 A machine translation example -- 11.5.2 Sequence-to-sequence learning with RNNs -- 11.5.3 Sequence-to-sequence learning with Transformer -- Summary -- 12 Generative deep learning -- 12.1 Text generation.…”
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Proceedings of the 13th Reinventing Space Conference

İçindekiler: “…-- Cost Effective Total Ionizing Dose Tests of Solid State Power Amplifiers -- Small Satellite Observation Satellite Development Programs of Vietnam until 2020 -- Novel semiconductor devices for low weight, high density and increased reliability -- Twinkle : A British Space Mission to explore faraway worlds -- Feasibility study of LTA launch system for micro and smaller -- Electromagnetic Launch to Space -- Dynamically Supported Launc Infrastructure -- IODISPLay: Capturing European needs and capabilities for in-orbit demonstration of space technologies -- Enabling Solutions for Small Satellite Space Access -- NEW SUPERLIGHT CLASS LAUNCH VEHICLES FROM YUZHNOYE -- How much is the moon worth? …”
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Proceedings of the International Congress on Information and Communication Technology ICICT 2015, Volume 1 /

İçindekiler: “…Examining Usability of Classes in Collaboration with SPL Feature Model -- Chapter 5. …”
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Mission-Oriented Sensor Networks and Systems: Art and Science Volume 2: Advances /

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Granular Neural Networks, Pattern Recognition and Bioinformatics Yazar: Pal, Sankar K., Ray, Shubhra S., Ganivada, Avatharam

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