Mohd basri ariffanan (26 Ergebnisse)
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Taschenbuch. Zustand: Neu. Medical Image Classification and Symptoms Detection Using Neuro Fuzzy | ANFIS Based Classification and Tumor Detection of The Brain Medical Image | Mohd Ariffanan Mohd Basri | Taschenbuch | 120 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783846583548 | Verantwortliche Person für die E…U: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Paperback. Zustand: new. Paperback. This book constitutes the refereed proceedings of the 22nd Asia Simulation Conference on Methods and Applications for Modeling and Simulation of Complex Systems, AsiaSim 2023, held in Langkawi, Malaysia, during October 2526, 2023.The 77 full papers included in this book were carefully reviewed… and selected from 164 submissions. They were organized in topical sections as follows: Modelling and Simulation, Artificial intelligence, Industry 4.0, Digital Twins Modelling, Simulation and Gaming, Simulation for Engineering, Simulation for Sustainable Development, Simulation in Social Sciences. This book constitutes the refereed proceedings of the 22nd Asia Simulation Conference on Methods and Applications for Modeling and Simulation of Complex Systems, AsiaSim 2023, held in Langkawi, Malaysia, during October 2526, 2023.The 77 full papers included in this book were carefully reviewed and selected from 164 submissions. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 516 | Sprache: Englisch | Produktart: Bücher | This book constitutes the refereed proceedings of the 22nd Asia Simulation Conference on Methods and Applications for Modeling and Simulation of Complex Systems, AsiaSim 2023, held in Langkawi, Malaysia, during October 25-26, 20…23.The 77 full papers included in this book were carefully reviewed and selected from 164 submissions. They were organized in topical sections as follows: Modelling and Simulation, Artificial intelligence, Industry 4.0, Digital Twins Modelling, Simulation and Gaming, Simulation for Engineering, Simulation for Sustainable Development, Simulation in Social Sciences.
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Taschenbuch. Zustand: Neu. Methods and Applications for Modeling and Simulation of Complex Systems | 22nd Asia Simulation Conference, AsiaSim 2023, Langkawi, Malaysia, October 25-26, 2023, Proceedings, Part I | Fazilah Hassan (u. a.) | Taschenbuch | xxi | Englisch | 2023 | Springer | EAN 9789819972395 | Verantwortliche Person fü…r die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Taschenbuch. Zustand: Neu. Methods and Applications for Modeling and Simulation of Complex Systems | 22nd Asia Simulation Conference, AsiaSim 2023, Langkawi, Malaysia, October 25-26, 2023, Proceedings, Part II | Fazilah Hassan (u. a.) | Taschenbuch | xxi | Englisch | 2023 | Springer | EAN 9789819972425 | Verantwortliche Person f…ür die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed proceedings of the 22nd Asia Simulation ConferenceonMethods and Applications for Modeling and Simulation of Complex Systems, AsiaSim 2023, held in Langkawi, Malaysia,duringOctober 25-26, 2023.The 77 full papers incl…uded in this book were carefully reviewed andselected from 164submissions. They were organized in topical sections as follows:Modelling and Simulation, Artificial intelligence, Industry 4.0, Digital Twins Modelling, Simulation and Gaming, Simulation for Engineering, Simulation for Sustainable Development, Simulation in Social Sciences.
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed proceedings of the 22nd Asia Simulation ConferenceonMethods and Applications for Modeling and Simulation of Complex Systems, AsiaSim 2023, held in Langkawi, Malaysia,duringOctober 25-26, 2023.The 77 full papers incl…uded in this book were carefully reviewed andselected from 164submissions. They were organized in topical sections as follows:Modelling and Simulation, Artificial intelligence, Industry 4.0, Digital Twins Modelling, Simulation and Gaming, Simulation for Engineering, Simulation for Sustainable Development, Simulation in Social Sciences.
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Paperback. Zustand: new. Paperback. This book constitutes the refereed proceedings of the 22nd Asia Simulation Conference on Methods and Applications for Modeling and Simulation of Complex Systems, AsiaSim 2023, held in Langkawi, Malaysia, during October 2526, 2023.The 77 full papers included in this book were carefully reviewed… and selected from 164 submissions. They were organized in topical sections as follows: Modelling and Simulation, Artificial intelligence, Industry 4.0, Digital Twins Modelling, Simulation and Gaming, Simulation for Engineering, Simulation for Sustainable Development, Simulation in Social Sciences. This book constitutes the refereed proceedings of the 22nd Asia Simulation Conference on Methods and Applications for Modeling and Simulation of Complex Systems, AsiaSim 2023, held in Langkawi, Malaysia, during October 2526, 2023.The 77 full papers included in this book were carefully reviewed and selected from 164 submissions. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The conventional method in medicine for brain MR images classification and tumor detection is by human inspection. Operator-assisted classification methods are impractical for large amounts of data and are also non-reproducible. MR im…ages also always contain a noise caused by operator performance which can lead to serious inaccuracies classification. The use of artificial intelligent techniques, for instance, neural networks, fuzzy logic, neuro fuzzy have shown great potential in this field. Hence, in this project the neuro fuzzy system or ANFIS was applied for classification and detection purposes. Decision making was performed in two stages: feature extraction using the principal component analysis (PCA) and the ANFIS trained with the backpropagation gradient descent method in combination with the least squares method. The performance of the ANFIS classifier was evaluated in terms of training performance and classification accuracies and the results confirmed that the proposed ANFIS classifier has potential in detecting the tumors. 120 pp. Englisch.
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Mohd Basri Mohd AriffananMohd Ariffanan Mohd Basri received the B.Eng. and the M.Eng. Degree in Mechatronics Engineering both from the Universiti Teknologi Malaysia in 2004 and 2009,respectively.He is cur…rently a Tutor in the Departm.
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The conventional method in medicine for brain MR images classification and tumor detection is by human inspection. Operator-assisted classification methods are impractical for large amounts of data and are also non-reproducible. MR images… also always contain a noise caused by operator performance which can lead to serious inaccuracies classification. The use of artificial intelligent techniques, for instance, neural networks, fuzzy logic, neuro fuzzy have shown great potential in this field. Hence, in this project the neuro fuzzy system or ANFIS was applied for classification and detection purposes. Decision making was performed in two stages: feature extraction using the principal component analysis (PCA) and the ANFIS trained with the backpropagation gradient descent method in combination with the least squares method. The performance of the ANFIS classifier was evaluated in terms of training performance and classification accuracies and the results confirmed that the proposed ANFIS classifier has potential in detecting the tumors.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 120 pp. Englisch.
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The conventional method in medicine for brain MR images classification and tumor detection is by human inspection. Operator-assisted classification methods are impractical for large amounts of data and are also non-reproducible. MR images…also always contain a noise caused by operator performance which can lead to serious inaccuracies classification. The use of artificial intelligent techniques, for instance, neural networks, fuzzy logic, neuro fuzzy have shown great potential in this field. Hence, in this project the neuro fuzzy system or ANFIS was applied for classification and detection purposes. Decision making was performed in two stages: feature extraction using the principal component analysis (PCA) and the ANFIS trained with the backpropagation gradient descent method in combination with the least squares method. The performance of the ANFIS classifier was evaluated in terms of training performance and classification accuracies and the results confirmed that the proposed ANFIS classifier has potential in detecting the tumors.
Sprache: Englisch
Verlag: Springer Nature Singapore, Springer Nature Singapore Okt 2023, 2023
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book constitutes the refereed proceedings of the 22nd Asia Simulation ConferenceonMethods and Applications for Modeling and Simulation of Complex Systems, AsiaSim 2023, held in Langkawi, Malaysia,duringOctober 25-26, 2023.The 77…full papers included in this book were carefully reviewed andselected from 164submissions. They were organized in topical sections as follows:Modelling and Simulation, Artificial intelligence, Industry 4.0, Digital Twins Modelling, Simulation and Gaming, Simulation for Engineering, Simulation for Sustainable Development, Simulation in Social Sciences. 516 pp. Englisch.
Sprache: Englisch
Verlag: Springer Nature Singapore, Springer Nature Singapore Okt 2023, 2023
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book constitutes the refereed proceedings of the 22nd Asia Simulation ConferenceonMethods and Applications for Modeling and Simulation of Complex Systems, AsiaSim 2023, held in Langkawi, Malaysia,duringOctober 25-26, 2023.The 77…full papers included in this book were carefully reviewed andselected from 164submissions. They were organized in topical sections as follows:Modelling and Simulation, Artificial intelligence, Industry 4.0, Digital Twins Modelling, Simulation and Gaming, Simulation for Engineering, Simulation for Sustainable Development, Simulation in Social Sciences. 524 pp. Englisch.
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Identification of First Order plus Dead Time for a pH neutralization process using open loop test.- Tapered Angle Microfluidic Device for Cell Separation Using Hydrodynamic Principle.- Solving a Mobile Robot Scheduling Problem using Metah…euristic Approaches.- Research on General Automatic Test Platform for Onboard Automatic Train Protection.- Research and Implementation of Simulation Testing Technology for Train Control System Based on Satellite Positioning.- A Study on Correspondence Point Search Algorithm Using Bayesian Estimation and Its Application to a Self-Position Estimation for Lunar Explorer.- Calculation of Stress Intensity Factors Under Mode-I Using Total Lagrangian Smoothed Particle Hydrodynamics.- Enriching On-orbit Servicing Mission Planning with Debris Recycling and In-space Additive Manufacturing.- Attitude and Altitude Control of Quadrotor MAV using FOPID Controller Stabilization and Altitude Tracking of Quadrotor using Backstepping Controller.- Stabilization and Altitude Tracking of Quadrotor using Backstepping Controller with a Saturation Compensator.- Noise Analysis of Miniature Planar Three-Dimensional Electrical Capacitance Tomography Sensors.- A Preliminary Investigation on The Correlation Between the Arrival Time of Ultrasonic Signals and The Concrete Condition.- A Fast Algorithm for Satellite Coverage Window Based on Segmented Dichotomy.- A simulation of single and segmented excitation in Electrical Capacitance Tomography system.- Robust Input Shaping for Swing Control of an Overhead Crane.- Sway Control of a Tower Crane with Varying Cable Length using Input Shaping.- Numerical Study of Sensitivity Enhancement in Optical Waveguide Sensor Due to Core Diameter.- Stress Simulation of Polydimethylsiloxane-coated Fiber Bragg Grating Bend Sensor.- 3D computational modelling of ctDNA separation using Superparamagnetic Bead Particles in Microfluidic Device.- Ensemble Differential Evolution with Simulation-Based Hybridization and Self-Adaptation for Inventory Management Under Uncertainty.- Intelligent Decision Support System (iDSS) for Manufacturing Data Corpus.- Influence of thickness and relative permittivity of triboelectric materials on CS-TENG performance: A simulation study.- Performance Evaluation of Evolutionary Under Sampling and Machine Learning Techniques for Network Security in Cloud Environment.- Scalable and Efficient Big Data Management and Analytics Framework for Real-Time Deep Decision Support.- Enhancing Efficiency in Aviation and Transportation Through Intelligent Radial Basis Function.- Advanced Computer-Aided Design Using Federated Machine Learning for Creative Design Processes.- Analysis of fuel concentration effect toward carbon nanotubes growth in methane diffusion flame using CFD simulations.- Numerical Investigation on the Influence of Protrusion Height on Heat Transfer and Fluid Flow within Rectangular Channel with Nanofluid.- Ultrasonic Sensors in Companion Robots: Navigational Challenges and Opportunities.- Convergence Study of Three-Dimensional Upper Skull model: A Finite Element Method.- Analyzing the Use of Scaffolding Based on Different Learning Styles to Enhance the Effectiveness of Game-Based Learning.- Real-Time Simulation for Controlling the Mobility of an Unmanned Ground Vehicle Based on Robot Operating System.- Scattering Source Determination Using Deep Learning for 2-D Scalar Wave Propagation.- Optimal Control of Double Pendulum Crane Using FOPID and Genetic Algorithm.- SHADOW: Silent-Based Hybrid Approach for Dynamic Pseudonymization and Privacy Preservation in Vehicular Networks.- Control of Electrical and Calcium Alternans on a One-Dimensional CardiaSpringer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 516 pp. Englisch.
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -FPGA Based Accelerator for Image Steganography.- Research on Data Acquisition and Real-Time Communication for Intelligent Manufacturing Training Equipment Based on Model of Things and Intranet Penetration.- Research on Intelligent Manufac…turing Training System Based on Industrial Metaverse.- Convolutional Transformer Network: Future Pedestrian Location in First-Person Videos Using Depth Map and 3D Pose.- Conceive-Design-Implement-Operate (CDIO) Approach in Producing Wiring Projects for Domestic Electrical Wiring Course.- Students' Digital Readiness in Vocational College for Industrial Revolution 4.0.- Implementing Blockchain Technology for Accreditation and Degree Verification.- Factors Influencing the Digital Skills of Technical Education Students.- Ballet Gesture Recognition and Evaluation System (Posé Ballet): System Thinking, Design Thinking, and Dynamic Improvement in Three Versions from Laboratory to Art Gallery.- Structured Teaching Using Drone Simulators for Students' Confidence in Real Flight.- Use of Drone Flight Simulator for Bridging Theories of UAV Systems into Practice: A Pilot Study.- Enhancement of System Network Based on Voltage Stability Indices Using FACTS Controllers.- Analysis of Multi Criteria Decision Making (MCDM) Techniques for Load Shedding in Islanded Distributed System.- Comparison of Diesel and Green Ship Carbon Emissions with A-Star Route Optimization.- A Model Validation Method Based on Convolutional Neural Network.- A Multiview Approach to Tracking People in Crowded Scenes Using Fusion Feature Correlation.- Prototype Learning Based Realistic 3D Terrain Generation from User Semantics.- Research on Matrix Factorization Recommendation Algorithm Based on Local Differential Privacy.- Enhancing Face Recognition Accuracy Through Integration of YOLO v8 and Deep Learning: A Custom Recognition Model Approach.- NARXNN Modeling of Ultrafiltration Process for Drinking Water Treatment.- Improvement of Vision-Based Hand Gesture Recognition System with Distance Range.- Synthetic Data Generation for Fresh Fruit Bunch Ripeness Classification.- Application of Artificial Intelligence for Maternal and Child Disorders in Indonesia: A Review.- Up Sampling Data in Bagging Tree Classification and Regression Decision Tree Method for Dengue Shock Syndrome Detection.- Real-Time Crack Classification with Wall-Climbing Robot Using MobileNetV2.- Estimation of Remaining Useful Life for Turbofan Engine Based on Deep Learning Networks.- Simulation Design of Reinforcement-Based Migration System in Software-Defined Networking Using Q-Learning.- A Preliminary Study on the Possibility of Scene Captioning Model Integration as an Improvement in Assisted Navigation for Visually Impaired Users.- Smart Agriculture: Transforming Agriculture with Technology.- WebGIS Visualization of Infectious Disease Clustering witha Hybrid Sequential Approach.- Lessons Learned from the Pandemic Precautions: A Case Study of Monitoring Compliance of Physical Distancing During Covid-19 in Al-Zaytoonah University of Jordan Using Object Tracking System.- Research on Security Assets Attention Networks for Temporal Knowledge Graph Enhanced Risk Assessment.- Parameter Study on the Use of Artificial Intelligence to Optimize Response to Unattended Bags to Increase Airport Security.- Revolutionizing Plant Disease Detection with CNN and Deep Learning.- Comparative Analysis of Machine Learning Algorithms in Vehicle Image Classification.- Evaluation of Linear Imputation Based Pediatric Appendicitis Detection System Using Machine Learning Algorithm.- MMoE-GAT: A Multi-Gate Mixture-Of-Experts Boosted Graph Attention Network for Aircraft Engine RemainiSpringer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 524 pp. Englisch.
