New Trends in Computational Vision and Bio-inspired Computing
Editat de S. Smys, Abdullah M. Iliyasu, Robert Bestak, Fuqian Shien Limba Engleză Hardback – 3 dec 2020
Aplicabilitatea practică a sistemelor de viziune computațională și a algoritmilor bio-inspirați reprezintă nucleul acestui volum masiv, publicat de Springer. Putem afirma că lucrarea New Trends in Computational Vision and Bio-inspired Computing servește drept punte între cercetarea academică și nevoile stringente ale industriei moderne, oferind soluții concrete pentru securitatea datelor, monitorizarea mediului și diagnosticarea medicală. Notăm cu interes modul în care cele 1780 de pagini sunt organizate pentru a ghida cititorul de la transformări haotice tridimensionale pentru criptarea imaginilor, până la implementarea sistemelor de asistență medicală prin steganografie bio-medicală.
Structura volumului reflectă o progresie logică, debutând cu fundamentele procesării de imagine și evoluând spre arhitecturi complexe de tip Cloud și IoT. Capitolele dedicate recunoașterii obiectelor în clădiri inteligente sau managementului energiei în micro-rețele demonstrează că viziunea computațională nu mai este doar un domeniu teoretic, ci un instrument esențial în dezvoltarea infrastructurii urbane. Cititorii familiarizați cu Proceedings of the International Conference on ISMAC in Computational Vision and Bio-Engineering 2018 (ISMAC-CVB) vor aprecia în acest volum accentul sporit pus pe hibridizarea dintre algoritmii genetici și sistemele de securitate în cloud, oferind o perspectivă mai tehnică asupra integrității datelor.
Această ediție din 2020 se înscrie în linia preocupărilor constante ale editorului S. Smys, care a documentat evoluția domeniului și în lucrări precum Computational Vision and Bio-Inspired Computing (ediția 2022). Față de volumele anterioare, acesta se distinge prin diversitatea aplicațiilor de nișă, cum ar fi recunoașterea emoțiilor din vorbire sau identificarea frunzelor prin rețele neuronale artificiale, elemente care indică o extindere a ariei de cercetare către biometrie și agricultură de precizie.
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Specificații
ISBN-13: 9783030418618
ISBN-10: 3030418618
Pagini: 1780
Ilustrații: XXVI, 1726 p. 969 illus., 670 illus. in color. In 2 volumes, not available separately.
Dimensiuni: 160 x 241 x 106 mm
Greutate: 2.96 kg
Ediția:2020
Editura: Springer
Locul publicării:Cham, Switzerland
ISBN-10: 3030418618
Pagini: 1780
Ilustrații: XXVI, 1726 p. 969 illus., 670 illus. in color. In 2 volumes, not available separately.
Dimensiuni: 160 x 241 x 106 mm
Greutate: 2.96 kg
Ediția:2020
Editura: Springer
Locul publicării:Cham, Switzerland
De ce să citești această carte
Recomandăm acest volum cercetătorilor și profesioniștilor IT care doresc să implementeze soluții avansate de inteligență computațională. Cititorul câștigă acces la o bază vastă de studii de caz și algoritmi testați, esențiali pentru proiectarea sistemelor securizate de IoT și a platformelor de procesare a imaginilor. Este o resursă fundamentală pentru oricine lucrează la intersecția dintre biologie, matematică aplicată și informatică, oferind modele concrete de rezolvare a problemelor de securitate și monitorizare.
Despre autor
S. Smys este un cercetător recunoscut și editor prolific în domeniul inteligenței computaționale, coordonând numeroase conferințe internaționale de prestigiu. Expertiza sa se concentrează pe viziunea computațională și rețelele de comunicații inventive, fiind coordonatorul unor volume de referință precum Computer Networks and Inventive Communication Technologies și Inventive Computation and Information Technologies. Prin activitatea sa editorială la Springer, Smys a contribuit semnificativ la diseminarea inovațiilor în algoritmi bio-inspirați și tehnologii de securitate, facilitând dialogul între comunitățile de cercetare din Asia și Europa în contextul noilor tendințe din industria digitală.
Descriere scurtă
This volume gathers selected, peer-reviewed original contributions presented at the International Conference on Computational Vision and Bio-inspired Computing (ICCVBIC) conference which was held in Coimbatore, India, on November 29-30, 2018. The works included here offer a rich and diverse sampling of recent developments in the fields of Computational Vision, Fuzzy, Image Processing and Bio-inspired Computing. The topics covered include computer vision; cryptography and digital privacy; machine learning and artificial neural networks; genetic algorithms and computational intelligence; the Internet of Things; and biometric systems, to name but a few. The applications discussed range from security, healthcare and epidemic control to urban computing, agriculture and robotics.
In this book, researchers, graduate students and professionals will find innovative solutions to real-world problems in industry and society as a whole, together with inspirations for further research.
In this book, researchers, graduate students and professionals will find innovative solutions to real-world problems in industry and society as a whole, together with inspirations for further research.
Cuprins
Chapter 1: Image Encryption based on 3 Dimensional Multi Linear (3D-MLT) Chaotic Transformation.- Chapter 2: A Computer Vision Based Approach for Object Recognition in Smart Buildings.- Chapter 3: A Cascade Color Image Retrieval Framework for Image Retrieval.- Chapter 4: Enhanced Geographical Information System Architecture for Geospatial Data.- Chapter 5: IoT Based Power Management and Condition Monitoring in Microgrid.- Chapter 6: A Comparative performance study of cloud resource scheduling techniques.- Chapter 7: Image Context Based Similarity Retrieval System.- Chapter 8: Emotions Recognition from Spoken Marathi Speech using LPC and PCA Technique.- Chapter 9: Implementation of Point Of Care system Using Bio-Medical Signal Stegano-graphy.- Chapter 10: Privacy assurance with content based access protocol to secure cloud storage.- Chapter 11: Leaf Recognition using Artificial Neural Network.- Chapter 12: Data Security in Cloud Using RSA and GNFS Algorithms - An Integrated Approach.- Chapter 13: Machine Learning Supported Statistical Analysis of IoT Enabled Physical Location Monitoring Data.- Chapter 14: A Genetic Algorithm based System with Different Crossover Operators for Solving the Course Allocation Problem of Universities.- Chapter 15: Detecting Anomalies in Credit Card Transaction Using Efficient Techniques.- Chapter 16: Secure Data Processing System using Decision Tree Architecture.- Chapter 17: A Novel Framework for Detection of Morphed images using Deep Learning Techniques.- Chapter 18: A Novel Non-invasive Framework for Predicting Bilirubin Levels.- Chapter 19: A Comprehensive Study on the Load Assessment Techniques in Cloud Data Center.- Chapter 20: Multimodal biometric system using Ear and Palm Vein recognition based on GwPeSOA - Multi-SVNN for security applications.- Chapter 21: E-Agriculture.- Chapter 22: Ultra Wide Band Monopole Antenna Design by Using Split Ring Resonator.- Chapter 23: Green supply chain management of chemical Industrial development for warehouse and its impact on the environment using artificial bee colony algorithm: A Review Articles.- Chapter 24: A Novel Dyno-Quick Reduct Algorithm For Heart Disease Prediction Using Supervised Learning Algorithm.- Chapter 25: Impact of Meltdown and Spectre Threats in Parallel Processing.- Chapter 26: Algorithm For Finding Minimum Dominating Set Using Sticker Based Model In Dna Computing.- Chapter 27: Assistive Technology Evolving as Intelligent System.- Chapter 28: A Bio Potential Sensor Circuit of AFE DesignWith CT ∑-∆ Modulator.- Chapter 29: Image Encryption based on Transformation and Chaotic Substitution.- Chapter 30: An Efficient Geographical Opportunistic Routing Algorithm Using Diffusion and Sparse Approximation Models for Cognitive Radio Ad Hoc Networks.- Chapter 31: Traffic Violation Tracker and Controller.- Chapter 32: PTCWA: Performance Testing of Cloud based Web Applications.- Chapter 33: Analysis of Regularized Echo State Networks on the Impact of Air Pollutants on Human Health.- Chapter 34: Detection of Cancer by Biosensor through Optical Lithography.- Chapter 35: Paradigms in Computer Vision: Biology Based Carbon Domain Postulates Nano Electronic Devices for Generation Next.- Chapter 36: A Secure Authenticated Bio-Cryptosystem Using Face Attribute Based On Fuzzy Extractor.- Chapter 37: Implementation of Scan logic and Pattern generation for RTL Design.- Chapter 38: Optimization Load Balancing Over Imbalance Datacenter Topology.- Chapter 39: Text Attentional Character Detection using Morphological Operations: A Survey.- Chapter 40: IoT Based Environment Monitoring System.- Chapter 41: Design & Development of Algorithms for Detection of Glaucoma Using Water Shed Algorithm.- Chapter 42: A novel development of glaucoma detection technique using the water shed algorithm.- Chapter 43: Solutions of Viral Dynamics in Hepatitis B Virus Infection using HPM.- Chapter 44: A Mathematıcal Modelıng Of Dengue Fever For The Dynamıcs System Usıng HAM.- Chapter 45: Vision-based Robot for Boiler Tube Inspection.- Chapter 46: Qualitative Study on Data Mining Algorithms for classification of Mammogram Images.- Chapter 47: Designing a framework for data migration of Odoo ERP PostgreSQL database into NoSQL database.- Chapter 48: Juxtaposition on classifiers in modeling Hepatitis Diagnosis Data.- Chapter 49: Voltage Stabilization By Using Buck Converters In The Integration Of Renewable Energy Into The Grid.- Chapter 50: OCR System For Recognition of Used Printed Com-ponents For Recycling.- Chapter 51: Modern WordNet: An Affective Extension of WordNet.- Chapter 52: Analysis of Computational Intelligence Techniques for Path Planning.- Chapter 53: Techniques for Analysis of the Effectiveness of Yoga through EEG Signals: A Review.- Chapter 54: Multiobjective integrated stochastic and deterministic search method for economic emission dispatch problem.- Chapter 55: Enhanced webpage prediction using Rank based Feedback Process.- Chapter 56: A study on distance based representation of molecules for statistical learning.- Chapter 57: Comparative Analysis of Evolutionary Approaches and computational methods for optimization in Data Clustering.- Chapter 58: Bringing Digital Transformation from a Traditional RDBMS Centric Solution to a Big Data Platform with Azure Data Lake Store.- Chapter 59: Smart Assist For Alzheimer’s Patients And Elderly People.- Chapter 60: An Unconstrained Rotation Invariant Approach For Document Skew Estimation And Correction.- Chapter 61: Smart Assistive Shoes For Blind.- Chapter 62: Comparative study on Various techniques involved in designing a Computer Aided Diagnosis (CAD) System for mammogram classification.- Chapter 63: Traffic Flow Prediction Using Regression and Deep Learning Approach.- Chapter 64: A Comparative Study on Assessment of Carotid Artery Using various Techniques.- Chapter 65: Evaluation of Fingerprint Minutiae on Ridge Structure Using Gabor and Closed hull Filters.- Chapter 66: A Perspective View on Sybil Attack Defense Mechanisms in Online Social Networks.- Chapter 67: Minor Finger Knuckle Print Image Enhancement using CLAHE Technique.- Chapter 68: Learning Path Construction Based On Ant Colony Optimization and Genetic Algorithm.- Chapter 69: Pneumonia Detection And Classification Using Chest X-Ray Images With Convolutional Neural Network.- Chapter 70: Juxtaposition on classifiers in modeling Hepatitis Diagnosis Data.- Chapter 71: An Optimized Approach Of Outlier Detection Algorithm for Outlier Attributes on Data Streams.- Chapter 72: Indo – Pak Sign Language Translator Using Kinect.- Chapter 73: Semantic interoperability for a defining Query.- Chapter 74: Gestational Diabetics prediction using Logisitic Regression in R.- Chapter 75: IOT Based Gas Pressure Detection for LPG with real time No SQL Database.- Chapter 76: Hybrid Steerable Pyramid with DWT for Multiple Medi-cal Image Watermarking and Extraction using ICA.- Chapter 77: Dimensional & Spatial Analysis of Ultrasound Imaging through Image Processing - A Review.- Chapter 78: A Review on methods to handle Uncertainty.- Chapter 79: Identity-based Hashing and Light Weight Signature Scheme for IoT.- Chapter 80: Adaptive Particle Swarm Optimization Based Wire-length Minimization for Placement in FPGA.- Chapter 81: Clustering of Various Diseases by Collagen Gene Using the Positional Factor.- Chapter 82: Prediction Of Water Demand For Domestic Purpose Using Multiple Linear Regression.- Chapter 83: Implementation of Regression Analysis using Regression Algorithms for Decision Making In Business Domains.- Chapter 84: Blockchain Based System for Human Organ Transplantation Management.- Chapter 85: Identification of Melanoma using Convolutional Neural Networks for Non Dermoscopic Images.- Chapter 86: Exploitation Of Data Mining To Analyse Realistic Facts From Road Traffic Accident Data.- Chapter 87: A Deep Learning Approach for Segmenting Time-Lapse Phase Contrast Images of NIH 3T3 Fibroblast Cells.- Chapter 88: Flow distribution-aware load balancing for the data centre over cloud services with virtualization.- Chapter 89: Disease severity diagnosis for rice using Fuzzy Verdict Method.- Chapter 90: HELPI VIZ: A Semantic image Annotation and Visualization Platform for Visually Impaired.- Chapter 91: A Survey of Multi - Abnormalities Disease Detection and Classification in WCE.- Chapter 92: Detection of Alzheimer's Disease in Brain MR Images using Hybrid Local Graph Structure.- Chapter 93: A Review on Object Tracking Wireless Sensor Network an Approach For Smart Surveilliance.- Chapter 94: A Mini Review on Electrooculogram Based Rehabilitation Methods Using Bioengineering Technique for Neural Disorder Persons.- Chapter 95: Applications Using Machine LearningAlgorithms for Developing Smart Systems.- Chapter 96: Benchmarking of Digital Forensic Tools.- Chapter 97: An Item Based Collaborative Filtering For Similar Movie Search.- Chapter 98: Identification of Musical Instruments Using MFCC Features.- Chapter 99: An Instance Identification Using Randomized Ring Matching via Score Generation.- Chapter 100: Performance Improvement of Multi-Channel Speech Enhancement using Modified Intelligent Kalman Filtering Algorithm.- Chapter 101: A Collaborative Method for Minimizing Tampering of Image with commuted concept of Frazile Watermarking.- Chapter 102: Interval Type-2 Fuzzy Logic Based Decision Support System for Cardiac Risk Assessment.- Chapter 103: Classification Of Multi-Retinal Disease Based On Retinal Fundus Image Using Convolutional Neural Network.- Chapter 104: Accurate Techniques of Thickness and Volume Measurement of Cartilage from Knee Joint MRI using Semiautomatic Segmentation Methods.- Chapter 105: A Hybrid Approach Using MachineLearning Algorithm For Prediction Of Stock Arcade Price Index.- Chapter 106: Disease severity diagnosis for rice using Fuzzy Verdict Method.- Chapter 107: Bio-inspired fuzzy model for energy efficient cloud computing through Firefly search behaviour methods.- Chapter 108: Neural Association with Multi Access Forensic Dashboard as Service (NAMAFDS).- Chapter 109: Exploration Of The Possible Benifitions For The Complementary Perfect Matching Models With Applications.- Chapter 110: Cloud Robotics in Agriculture Automation.- Chapter 111: Comparative Analysis of EMG bio signal based on Empirical Wavelet Transform for Medical diagnosis.- Chapter 112: Efficient Prevention Mechanism against Spam Attacks for Social Networking Sites.- Chapter 113: PPG Signal Analysis for Cardiovascular Patient Using Correlation Dimension and Hilbert Transform based Classification.- Chapter 114: A Robust And Fast Fundus Image Enhancement By Dehazing.- Chapter 115: A Generalized Study on Data Mining and Clustering Algorithms.- Chapter 116: Multimodal Medical Image Fusion Using Discrete Fractional Wavelet Transform (DFRWT) with Non-subsampled Contourlet Transform (NSCT) Hybrid Fusion Algorithm.- Chapter 117: Emotion Recognition on Multi View Static Action Videos using Multi Blocks Maximum Intensity Code (MBMIC).- Chapter 118: "Survey on Security Systems in Underwater Communications Systems".- Chapter 119: A Review on Meta-heuristic Independent Task Scheduling Algorithms in Cloud Computing.- Chapter 120: "Facial Expression Recognition for Human Computer Interaction".- Chapter 121: Evolutionary Motion Model Transitions for Tracking Unmanned Air Vehicles.- Chapter 122: A survey on major classification algorithms and comparative analysis of few classification algorithms on contact lenses data set using data mining tool.- Chapter 123: Segmentation of Blood Vessels in Retinal Fundus Images for Early Detection of Retinal Disorders: Issues and Challenges.- Chapter 124: Interrogation for Modernistic Conceptualization of Complementary Perfect Hop Domination Number with Various Grid Models.- Chapter 125: Temporal Change Detection in Water Body of Puzhal Lake using Satellite Images.- Chapter 126: Content Based Image Retrieval: Using Edge Detection Method.- Chapter 127: Sentiment Analysis to Quantify Healthcare Data.- Chapter 128: Convolutional Neural Network with Fourier Transform for Road Classification from Satellite Images.- Chapter 129: Prediction Of Gender Using Machine Learning.- Chapter 130: Camera Feature Ranking for Person Re-Identification Using Deep Learning.- Chapter 131: Definite Design Creation for cellular components present in Blood & detection of Cancerous Cells by using Optical based Biosensor.- Chapter 132: Virtual Screening of Anticancer Drugs Using Deep Learning.- Chapter 133: Identification and detection of Glaucoma Using Image Segmentation Techniques.- Chapter 134: "Tile Pasting P System Constructing Homeogonal Tiling".- Chapter 135: Analysis of breast cancer images/data set based on Procedure codes and Exam reasons.- Chapter 136: Empirical Analysis of Machine Learning Algorithms in Fault Diagnosis of Coolant Tower in Nuclear Power Plants.- Chapter 137: Marker Controlled Watershed Segmented features based Facial Expression Recognition using Neuro-Fuzzy architecture.- Chapter 138: A Review on Sequential and Non-Overlapping Patterns for Classification.- Chapter 139: An Analytical Review on Machine Learning Techniques to Predict Diseases.- Chapter 140: Driver’s Behaviour Analytics in the Traffic Accident Risk Evaluation.- Chapter 141: Emotion Speech Recognition Through Deep Learning.- Chapter 142: Segmentation Techniques Using Soft Computing Approach.- Chapter 143: Detection of Tumor in Brain MR images using Hybrid IKProCM and SVM.- Chapter 144: A Novel Methodology for Converting English Text into objects.- Chapter 145: Framework for Adaptıve Testıng Strategy to Improve Software Relıabılıty.- Chapter 146: Detection of primary glaucoma using fuzzy C mean clustering & morphological operators algorithm.- Chapter 147: An Analytical Framework for Indian Medicinal Plants and Their Disease Curing Properties.- Chapter 148: Plant Leaf Recognition Using Machine Learning Techniques.- Chapter 149: Conceptualization of IndianBiodiversity by using Semantic Web technologies.- Chapter 150: A New Ensemble Clustering Approach for Effective Information Retrieval.- Chapter 151: Detection of Cancer Cell Growth in Lung Image using Artificial Neural Network.- Chapter 152: Single Image Dehazing using Deep Belief Nueral Networks to reduce computational complexity.- Chapter 153: Measuring Social Sarcasm on GST.- Chapter 154: A Review on False Data Injection in Smart Grids and the techniques to resolve them.- Chapter 155: A Novel Methodology for Identifying the Tamil Character Recognition from Palm Leaf.- Chapter 156: Leaf Recognition Using Prewitt Edge Detection And K-Nn Classification.- Chapter 157: Learning Deep Topics ofInterest.- Chapter 158: A Study on varıous Bıo-Inspıred Algorıthms for Intellıgent Computatıonal System.- Chapter 159: Credıt Card Fraud Detectıon in Retaıl Shoppıng Using Reınforcement Learning.- Chapter 160: Deseasonalization Methods in Seasonal Streamflow Series Forecasting.- Chapter 161: Local Painted Texture Pattern for quality of Con-tent based Image Retrieval.- Chapter 162: Deep Learning Architectures For Medical Diagnosis.- Chapter 163: Improved Blog Classification using Multi Stage Dimensionality Reduction Technique.- Chapter 164: Knowledge – Guru System Using Content Management For An Education Domain.- Chapter 165: Deep Learning for Voice Control Home Automation with Auto Mode.- Chapter 166: Review on Spectrum Sharing Approaches based on Fuzzy and Machine learning Techniques in Cognitive Radio Networks.- Chapter 167: Artificial Intelligence Based Technique for Basestation Sleeping.- Chapter 168: A Novel Region based Thresholding for Dental Cyst Extraction in Digital Dental X-ray Images.- Chapter 169: Salient Object Detection using DenseNet features.- Chapter 170: Attentive Natural Language Generation from Abstract Meaning Representation.- Chapter 171: Euclidean Distance based Region Selection for Fundus Images.- Chapter 172: Big Data Oriented Fuzzy Based Continuous Reputation Systems For Vanet.- Chapter 173: Multi-faceted and Multi-algorithmic Framework (MFMA) for Finger Knuckle Biometrics.- Chapter 174: Implementation Of Ssfcm In Cross Sectional Views Of Paediatric Male And Female Brain Mr Images For The Diagnosis Of Adhd.- Chapter 175: Hand Gesture Recognition Using Opencv And Python.- Chapter 176: Real Time Facial Recognition System.
Notă biografică
Dr. S. Smys received his M.E and Ph.D degrees all in Wireless Communication and Networking from Anna University and Karunya University, India. His main area of research activity is localization and routing architecture in wireless networks. He serves as Associate Editor of Computers and Electrical Engineering (C&EE) Journal, Elsevier and Guest Editor of MONET Journal, Springer. He is served as a reviewer for IET, Springer, Inderscience and Elsevier journals. He has published many research articles in refereed journals and IEEE conferences. He has been the General chair, Session Chair, TPC Chair and Panelist in several conferences. He is member of IEEE and senior member of IACSIT wireless research group. He has been serving as Organizing Chair and Program Chair of several International conferences, and in the Program Committees of several International conferences. Currently he is working as a professor in the Department of Computer Science at RVS Technical Campus, Coimbatore,India.
Abdullah M. Iliyasu (aka Abdul M. Elias) received the M.E., Ph.D., and Dr. Eng. degrees in computational intelligence and intelligent systems engineering from the Tokyo Institute of Technology, Japan, where he is presently a Research Professor with the School of Computing. Concurrently, Prof Elias is the Principal Investigator and Team Leader of the Computational Intelligence and Intelligent Systems (CIIS) Research Group at the College of Engineering, Prince Sattam Bin Abdulaziz University in the Kingdom of Saudi Arabia. He is also a Professor with the School of Computer Science and Engineering, Changchun University of Science and Technology, China. He has to his credit more than 100 publications traversing the areas of computational intelligence, quantum cybernetics, quantum image processing, quantum machine learning, cyber and information security, hybrid intelligent systems, health informatics, and electronics systems reliability.
Dr. Robert Bestakobtained a PhD degree in Computer Science from ENST Paris, France (2003) and MSc degree in Telecommunications from Czech Technical University in Prague, CTU, (1999). Since 2004, he has been an Assistant Professor at Department of Telecommunication Engineering, Faculty of Electrical Engineering, CTU. His main research interests include 5G networks, cognitive networks and spectrum management. He is the Czech representative in the IFIP TC6 working group and he serves as associate editor of Telecommunication System and Electronic Commerce Research, Springer and . Dr. Bestak has served as Steering and Technical Program Committees member for numerous IEEE/IFIP international conferences. He participated in several national and EU founded research projects (FP7-ROCKET, FP7-TROPIC, etc.)
Dr. Fuqian Shi currently working as a Professor in Wenzhou Medical University, P. R. China. His research interest includes Computer Networks, Computer Programming, Computer Graphics, Image Processing, Data Structure, Operating System and Medical Informatics.
Abdullah M. Iliyasu (aka Abdul M. Elias) received the M.E., Ph.D., and Dr. Eng. degrees in computational intelligence and intelligent systems engineering from the Tokyo Institute of Technology, Japan, where he is presently a Research Professor with the School of Computing. Concurrently, Prof Elias is the Principal Investigator and Team Leader of the Computational Intelligence and Intelligent Systems (CIIS) Research Group at the College of Engineering, Prince Sattam Bin Abdulaziz University in the Kingdom of Saudi Arabia. He is also a Professor with the School of Computer Science and Engineering, Changchun University of Science and Technology, China. He has to his credit more than 100 publications traversing the areas of computational intelligence, quantum cybernetics, quantum image processing, quantum machine learning, cyber and information security, hybrid intelligent systems, health informatics, and electronics systems reliability.
Dr. Robert Bestakobtained a PhD degree in Computer Science from ENST Paris, France (2003) and MSc degree in Telecommunications from Czech Technical University in Prague, CTU, (1999). Since 2004, he has been an Assistant Professor at Department of Telecommunication Engineering, Faculty of Electrical Engineering, CTU. His main research interests include 5G networks, cognitive networks and spectrum management. He is the Czech representative in the IFIP TC6 working group and he serves as associate editor of Telecommunication System and Electronic Commerce Research, Springer and . Dr. Bestak has served as Steering and Technical Program Committees member for numerous IEEE/IFIP international conferences. He participated in several national and EU founded research projects (FP7-ROCKET, FP7-TROPIC, etc.)
Dr. Fuqian Shi currently working as a Professor in Wenzhou Medical University, P. R. China. His research interest includes Computer Networks, Computer Programming, Computer Graphics, Image Processing, Data Structure, Operating System and Medical Informatics.
Caracteristici
Highlights recent developments in the fields of Computational Vision, Fuzzy, Image Processing and Bio-inspired Computing Presents innovative solutions to real-world problems in industry and society as a whole, with applications ranging from healthcare to robotics Paves the ways for further research in these fields