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Advances in Cybernetics, Cognition, and Machine Learning for Communication Technologies / / edited by Vinit Kumar Gunjan, Sabrina Senatore, Amit Kumar, Xiao-Zhi Gao, Suresh Merugu
| Advances in Cybernetics, Cognition, and Machine Learning for Communication Technologies / / edited by Vinit Kumar Gunjan, Sabrina Senatore, Amit Kumar, Xiao-Zhi Gao, Suresh Merugu |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (593 pages) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Electrical Engineering |
| Soggetto topico |
Computational intelligence
Artificial intelligence Electrical engineering Computer engineering Internet of things Embedded computer systems Signal processing Image processing Speech processing systems Computational Intelligence Artificial Intelligence Communications Engineering, Networks Cyber-physical systems, IoT Signal, Image and Speech Processing |
| ISBN | 981-15-3125-0 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Artificial Neural Network and Partial Pattern Recognition to Detect Malware -- Epidemiology and Forecasting of Cholera Incidence in North India -- "A NOVEL APPORACH FOR IMPROVING ROUTING EFFIECIECY AND MININZING PROPOGATION MEAN DELAY FOR DADCQ PROTOCOL IN VANET" -- HUMAN COMPUTER INTERACTION AS A MODE OF IMPROVEMENT IN HUMAN LIFESTYLE -- New fast and efficient Techniques for Image Denoising using VQ, PCA, SVD, Soft Thresholding and Wiener Filter -- Elicitation and Analysis of Security Requirements and Patterns for IoT Based Health Monitor -- Classification of Remote Sensing Images Based on K-Means Clustering and Artificial Bee Colony Optimization -- Internet of Things and its Applications :An Overview -- Smart KYC using Blockchain and IPFS -- Lexical analysis and Mathematical modelling for analysing Depression detection of social media reviews. |
| Record Nr. | UNINA-9910484729703321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Cognitive tutor : custom-tailored pedagogical approach / / Ninni Singh, Vinit Kumar Gunjan, Jacek M. Zurada
| Cognitive tutor : custom-tailored pedagogical approach / / Ninni Singh, Vinit Kumar Gunjan, Jacek M. Zurada |
| Autore | Singh Ninni |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (188 pages) |
| Disciplina | 060 |
| Collana | Advanced Technologies and Societal Change |
| Soggetto topico | Artificial intelligence - Educational applications |
| ISBN | 981-19-5197-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996490360103316 |
Singh Ninni
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| Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Cognitive tutor : custom-tailored pedagogical approach / / Ninni Singh, Vinit Kumar Gunjan, Jacek M. Zurada
| Cognitive tutor : custom-tailored pedagogical approach / / Ninni Singh, Vinit Kumar Gunjan, Jacek M. Zurada |
| Autore | Singh Ninni |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (188 pages) |
| Disciplina | 060 |
| Collana | Advanced Technologies and Societal Change |
| Soggetto topico | Artificial intelligence - Educational applications |
| ISBN | 981-19-5197-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910595048503321 |
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Singh Ninni
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| Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Computational Intelligence in Medical Informatics / / edited by Naresh Babu Muppalaneni, Vinit Kumar Gunjan
| Computational Intelligence in Medical Informatics / / edited by Naresh Babu Muppalaneni, Vinit Kumar Gunjan |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (105 p.) |
| Disciplina |
006.3
502.85 519 570285 610.28 616.46 616462 620 |
| Collana | SpringerBriefs in Forensic and Medical Bioinformatics |
| Soggetto topico |
Computational intelligence
Bioinformatics Diabetes Biomedical engineering Medical informatics Applied mathematics Engineering mathematics Computational Intelligence Computational Biology/Bioinformatics Biomedical Engineering and Bioengineering Health Informatics Mathematical and Computational Engineering |
| ISBN | 981-287-260-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Analysis of the structural details of DsrO protein -- LCMV interaction changes with T192M mutation in alpha-Dystroglycan.- Structural and functional characterization of Arabidopsis thaliana WW domain containing protein F4JC80 -- Structural insights into IbpA-IbpB interactions to predict their roles in heat shock response -- Automatic image segmentation for video capsule endoscopy -- Improving the performance of multi-parameter patient monitor system by using additional features -- Rough Set Rule Based Technique for the Retrieval of Missing Data in Malaria Diseases Diagnosis -- Effect of Feature selection on Kinase Classification Models -- Rheumatoid Arthritis Candidate Genes Identification by Investigating Core and periphery interaction structures. |
| Record Nr. | UNINA-9910299703003321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Computational Intelligence Techniques for Comparative Genomics : Dedicated to Prof. Allam Appa Rao on the Occasion of His 65th Birthday / / edited by Naresh Babu Muppalaneni, Vinit Kumar Gunjan
| Computational Intelligence Techniques for Comparative Genomics : Dedicated to Prof. Allam Appa Rao on the Occasion of His 65th Birthday / / edited by Naresh Babu Muppalaneni, Vinit Kumar Gunjan |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (147 p.) |
| Disciplina |
006.3
502.85 570285 610.28 |
| Collana | SpringerBriefs in Forensic and Medical Bioinformatics |
| Soggetto topico |
Computational intelligence
Bioinformatics Forensic sciences Diabetes Biomedical engineering Medical informatics Computational Intelligence Computational Biology/Bioinformatics Forensic Science Biomedical Engineering and Bioengineering Health Informatics |
| ISBN | 981-287-338-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Diversified Insulin Associated Beta-behavioral & Endogenously Triggered Exposed Symptoms (Diabetes) Model of Diabetes in India -- Automatic Teaching Learning Based Optimization: A Novel Clustering Method For Gene Functional Enrichments -- A Comparative Study of Methodologies of Protein Secondary Structure -- A sparse modeled ROI for GLAM construction in image classification problems – A case study of Breast Cancer -- A Survey on Identification of Protein Complexes in Protein-Protein Interaction Data: Methods and Evaluation -- Modeling Artificial Life: A cellular Automata Approach -- Identification of Deleterious Snps in TACR1 Gene Using Genetic algorithm -- Identification of AIDS Disease Severity Using Genetic Algorithm -- A Novel Clustering Approach Using Hadoop Distributed Environment -- Framework for Evaluation of Programming Language Examinations -- An Efficient Data Integration Framework in Cloud using Map Reduce. |
| Record Nr. | UNINA-9910299682203321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Cybernetics, Cognition and Machine Learning Applications : Proceedings of ICCCMLA 2021 / / edited by Vinit Kumar Gunjan, P. N. Suganthan, Jan Haase, Amit Kumar
| Cybernetics, Cognition and Machine Learning Applications : Proceedings of ICCCMLA 2021 / / edited by Vinit Kumar Gunjan, P. N. Suganthan, Jan Haase, Amit Kumar |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (237 pages) |
| Disciplina | 006.3 |
| Collana | Algorithms for Intelligent Systems |
| Soggetto topico |
Computational intelligence
Artificial intelligence Machine learning Artificial intelligence - Data processing Image processing - Digital techniques Computer vision Computational Intelligence Artificial Intelligence Machine Learning Data Science Computer Imaging, Vision, Pattern Recognition and Graphics |
| ISBN | 981-19-1484-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. A Deep Learning Approach To Analyze Traffic Congestions For Effective Traffic Management -- Chapter 2. Building Energy Consumption Prediction Model using Machine Learning -- Chapter 3. An End-to-End GUI based Real Time Attendance System by Training Annotated Facial Data on YOLO v3 Algorithm -- Chapter 4. A Multi-factor Security Protocol for Wireless Payment-Secure Web Authentication using Mobile Devices -- Chapter 5. IoT Based Greenhouse Monitoring -- Chapter 6. HOME AUTOMATION USING TELEGRAM BOT -- Chapter 7. Application of IoT in Hospital Management -- Chapter 8. Vehicle Tracking by Using IOT Applications -- Chapter 9. Smart Vehicle and Smart Parking System using IOT -- Chapter 10. Automatic Water Irrigation System using IoT -- Chapter 11. Development of Safety Monitoring for an IOT-enabled smart Environment -- Chapter 12. LOW-COST ECG BASED HEART MONITORING SYSTEM WITH UBIDOTS PLATFORM -- Chapter 13. Design of hybrid soft computing techniques for estimation of suspended sediment yield in Krishna River, India -- Chapter 14. QR BASED TICKET VERIFICATION AND PARKING SYSTEM -- Chapter 15. Design and Analysis of Uniformly Illuminated 8-way Wilkinson Power Divider for L-Band Applications. |
| Record Nr. | UNINA-9910627265903321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Cybernetics, cognition and machine learning applications : proceedings of ICCCMLA 2020 / / Vinit Kumar Gunjan [and three others] editors
| Cybernetics, cognition and machine learning applications : proceedings of ICCCMLA 2020 / / Vinit Kumar Gunjan [and three others] editors |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (427 pages) |
| Disciplina | 006.3 |
| Collana | Algorithms for Intelligent Systems |
| Soggetto topico |
Artificial intelligence
Intel·ligència artificial Aprenentatge automàtic |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN | 981-336-691-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- About the Editors -- IOT Smart Locker -- 1 Introduction -- 2 Literature Review -- 3 Workflow of the System -- 3.1 To Open This Smart Locker, the User Has to Go Under These Steps to Access the Locker -- 3.2 Tool Kit -- 3.3 Proposed Model -- 4 Result from Observation -- 5 Conclusion -- References -- Brief Analysis on Human Activity Recognition -- 1 Introduction -- 1.1 Human Activity Recognition (HAR) -- 2 Related Work -- 3 Deep Neural Network (DNN) -- 4 System Design -- 5 Result -- 6 Conclusion -- References -- Lora-Based Smart Garbbage Alert Monitoring System Using ATMEGA 328, 2560, 128 -- 1 Introduction -- 2 Literature Review -- 3 Existing System -- 4 Proposed System -- 5 Working -- 6 Cloud Database -- 7 Simulated Output of the System on the Cloud -- 8 Components Required -- 9 IR Sensor -- 10 LoRaWAN -- 11 Principle of Operation -- 12 Conclusion -- References -- Pre-birth Prognostication of Education and Learning of a Fetus While in the Uterus of the Mother Using Machine Learning -- 1 Introduction -- 2 Why Subsidizing in Early Brain Development? -- 2.1 Literature Survey -- 2.2 The Three Key Aspects What Baby Learns -- 2.3 How Early Staged Career Guidance Can Shape Future -- 3 How the Future Learning Can Be Predicted -- 3.1 Applying Decision Tree to Predict Educational Stream -- 3.2 Merits and Demerits of This Predication -- 4 Conclusion -- References -- Performance Analysis of Single-Stage PV Connected Three-Phase Grid System Under Steady State and Dynamic Conditions -- 1 Introduction -- 2 Photovoltaic System -- 2.1 PV System -- 2.2 Power Electronic Converter -- 2.3 MPPT Method -- 3 Simulation Result Analysis -- 4 Conclusions -- References -- Delay Feedback H_infty Control for Neutral Stochastic Fuzzy Systems with Time Delays -- 1 Introduction -- 2 Problem Description -- 3 Main Results -- 4 Numerical Example.
5 Conclusion -- References -- Modeling Crosstalk of Tau and ROS Implicated in Parkinson's Disease Using Biochemical Systems Theory -- 1 Introduction -- 2 Methods -- 2.1 Generalized Mass Action Kinetics -- 2.2 Michaelis-Menten's Kinetics -- 2.3 Hill Equation -- 3 Results -- 3.1 Increased Concentration Levels of ROS, Alpha Synuclein Aggregation and Oxidized DJ-1 in Diseased Conditions -- 3.2 Mitochondrial Dysfunction Leads to NFT Production in Diseased Conditions -- 4 Discussion -- 5 Conclusion -- References -- IoT-Based Patient Vital Measuring System -- 1 Introduction -- 2 Literature Survey -- 3 Hardware and Software Platform -- 4 Result and Performance Analysis -- 5 Security Compliance -- 6 Conclusion and Future Work -- References -- IoT-Enabled Logistics for E-waste Management and Sustainability -- 1 Introduction -- 2 Literature Review -- 3 E-waste Management Network -- 4 Conclusion -- References -- Navigation Through Proxy Measurement of Location by Surface Detection -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Data Collection -- 3.2 Data Preprocessing -- 3.3 Feature Extraction -- 3.4 Model Selection -- 3.5 Performance Evaluation -- 4 Conclusion and Future Enhancements -- References -- Unsupervised Learning Algorithms for Hydropower's Sensor Data -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 One Class Support Vector Machine -- 3.2 Isolation Forest -- 4 Conclusion -- References -- Feature Construction Through Inductive Transfer Learning in Computer Vision -- 1 Introduction -- 2 Deep Learning -- 3 Transfer Learning -- 4 Target Dataset-Place Dataset -- 5 Overall Approach -- 5.1 Data Pre-processing -- 5.2 Model Transfer -- 5.3 Training the Datasets -- 5.4 Figures and Tables -- 6 Result -- 7 Conclusion and Future Work -- References. Decoding Motor Behavior Biosignatures of Arm Movement Tasks Using Electroencephalography -- 1 Introduction -- 2 Methods -- 2.1 Subject Summary and Data Collection -- 2.2 Design of Experiment and Execution Steps -- 2.3 Design of Experiment and Execution Steps -- 3 Results -- 3.1 Increased Θ and γ Activity in Frontal and Temporal Regions in Motor Planning Phase of Cognitive Tasks -- 3.2 Behavioral Variations in Θ and γ Rhythms in Frontal, Temporal and Parietal Lobes in Motor Execution Phase of Cognitive Motor Performances -- 3.3 Activity Related Increase of Theta and Gamma Waves in Frontal and Temporal Regions in Linear and Complex Motor Actions -- 4 Discussion -- 5 Conclusion -- References -- Emergency Robot -- 1 Introduction -- 1.1 Literature Survey -- 2 Description of Vehicle Section -- 2.1 Gas detector -- 2.2 Metal Detector -- 2.3 Web Camera -- 2.4 Gun Control -- 3 System Implementation -- 3.1 Work Flow of the Model -- 3.2 Troubleshooting -- 4 Proposed System -- 4.1 Controlling Section -- 5 Hardware Implementation -- 5.1 Circuit Diagram -- 6 Result -- 7 Conclusion -- 8 Future Scope -- References -- Type Inference in Java: Characteristics and Limitations -- 1 Introduction -- 2 Type Inference in Java -- 2.1 Java 5 -- 2.2 Java 7 -- 2.3 Java 8 -- 2.4 Java 10 -- 3 Limitations -- 3.1 Wildcard as Return Type -- 3.2 Chained Method Call -- 3.3 Local Variable Inference -- 4 Discussion -- 5 Conclusion -- References -- Detection and Correction of Potholes Using Machine Learning -- 1 Introduction -- 2 Literature Survey -- 3 System Architecture -- 4 Support Vector Machine -- 4.1 Working of SVM -- 4.2 Working of Pothole Detection Robot -- 5 Results and Discussions -- 5.1 Normal Support Vector Classifier (SVC) Where no Features Are Used Gives 62.5% Accuracy. -- 5.2 SVC with Corner Detection Gives 62.5% Accuracy. 5.3 SVC with Canny Edge Detection is 75% Accuracy. -- 5.4 SVC with Canny Edge Detection and Corner Detection 68.75% Accuracy. -- 6 Future Scope -- 7 Conclusion -- References -- Detecting COVID-19 Using Convolution Neural Networks -- 1 Introduction -- 2 Related Work -- 3 Proposed Approach -- 3.1 Data Preprocessing -- 3.2 Implementation -- 4 Results and Discussions -- 5 Conclusion -- References -- Electroencephalography Measurements and Analysis of Cortical Activations Among Musicians and Non-musicians for Happy and Sad Indian Classical Music -- 1 Introduction -- 2 Methods -- 2.1 Subject Selection and Screening -- 2.2 Auditory Stimuli -- 2.3 Experiment Design -- 2.4 EEG Data Acquisition and Computational Analysis -- 3 Results -- 3.1 Brain Rhythms Shifts from Gamma-Alpha in Happy Music Perception and Alpha-Beta-Gamma for Other Auditory Cues in Musicians and Non-musicians -- 3.2 Behavioural Pattern Variations of Brain Rhythms for Sad Music Stimuli and Other Auditory Cues in Musicians and Non-musicians -- 4 Discussion -- 5 Conclusion -- References -- Signal Processing in Yoga-Related Neural Circuits and Implications of Stretching and Sitting Asana on Brain Function -- 1 Introduction -- 2 Methods -- 2.1 Experimental Protocol and Characteristics -- 3 Results -- 3.1 Increased Changes Attributed to Memory and Attention Observed in Practitioners -- 3.2 Statistical Analysis on the Task Scores Shows Homogenous Performance Between the Genders -- 3.3 Statistical Analysis on the Task Scores Shows There is Significant Difference Between the Groups -- 4 Discussion -- 5 Conclusion -- References -- Automation of Answer Scripts Evaluation-A Review -- 1 Introduction -- 2 Related Work -- 3 Challenges -- 4 Conclusion -- References -- Diabetes Mellitus Detection and Diagnosis Using AI Classifier -- 1 Introduction -- 2 Proposed Methodology -- 3 Results and Discussion. 4 Conclusion -- References -- Review on Unit Selection-Based Concatenation Approach in Text to Speech Synthesis System -- 1 Introduction -- 2 The Process of Speech Production -- 2.1 Basic TTS System -- 3 Different Synthesizer Technologies -- 3.1 Concatenative Synthesis -- 3.2 Unit Selection Synthesis -- 3.3 Unit Selection and Specification Process -- 4 Comparison of Different Synthesis Methods -- 5 Conclusion -- References -- Enhancing the Security of Confidential Data Using Video Steganography -- 1 Introduction -- 2 Steganography and Cryptography -- 2.1 Steganography -- 2.2 Cryptography -- 3 Related Work -- 4 Frame Selection Approach -- 5 Methodology -- 6 Parameter Metrices -- 7 Results and Discussion -- 8 Conclusion -- References -- Data Mining and Analysis of Reddit User Data -- 1 Introduction -- 2 Related Works -- 3 Research Methodology -- 4 Result and Discussion -- 5 Conclusion -- 6 Future Scope -- References -- Analysis of DNA Sequence Pattern Matching: A Brief Survey -- 1 Introduction -- 2 Literature Review -- 3 Conclusion -- References -- Sensor-Based Analysis of Gait and Assessment of Impacts of Backpack Load on Walking -- 1 Introduction -- 2 Methods -- 2.1 Effect of Backpack on Lower Body -- 3 Results -- 3.1 Measured Gait Variability Across Different Subject Groups Using Froude Analysis -- 3.2 Attribute Selection to Classify Gait -- 3.3 Gender-Based Classification with Respect to Fr Number. -- 3.4 Effect of Backpack Load on Pelvis during Walking to Understand the Gait Pathological Condition -- 4 Discussion -- 5 Conclusion -- References -- Wireless Battery Monitoring System for Electric Vehicle -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 4 System Block Diagram -- 4.1 Sensors -- 4.2 Wi-Fi Module -- 5 System Flow Chart -- 5.1 Electric Vehicle Battery Specification -- 6 Result -- 7 Software Preparation -- 7.1 Arduino IDE. 7.2 AVR Studio. |
| Record Nr. | UNINA-9910484217003321 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Cybernetics, Cognition and Machine Learning Applications : Proceedings of ICCCMLA 2019 / / edited by Vinit Kumar Gunjan, P. N. Suganthan, Jan Haase, Amit Kumar, Balasubramanian Raman
| Cybernetics, Cognition and Machine Learning Applications : Proceedings of ICCCMLA 2019 / / edited by Vinit Kumar Gunjan, P. N. Suganthan, Jan Haase, Amit Kumar, Balasubramanian Raman |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (xii, 325 pages) : illustrations |
| Disciplina | 006.3 |
| Collana | Algorithms for Intelligent Systems |
| Soggetto topico |
Computational intelligence
Machine learning Neural networks (Computer science) Engineering—Data processing Computational Intelligence Machine Learning Mathematical Models of Cognitive Processes and Neural Networks Data Engineering |
| ISBN | 981-15-1632-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | A Novel Design and Implementation of Pipeline Inspection System -- An in-depth Survey on Massive Open Online Course Outcome Prediction -- Prediction of Cardiovascular diseases using HUI Miner -- Selection of Connecting Phrases in Weather Forecast -- Analysis of Bayesian Regularization and LevenbergMarqaudt training algorithms of the Feed -- Data Mining On Cloud Based Big Data. |
| Record Nr. | UNINA-9910484683103321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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EMG Signals Characterization in Three States of Contraction by Fuzzy Network and Feature Extraction / / by Bita Mokhlesabadifarahani, Vinit Kumar Gunjan
| EMG Signals Characterization in Three States of Contraction by Fuzzy Network and Feature Extraction / / by Bita Mokhlesabadifarahani, Vinit Kumar Gunjan |
| Autore | Mokhlesabadifarahani Bita |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (43 p.) |
| Disciplina |
502.85
570285 610.28 614.1 616.7 617.03 620 621.3848 |
| Collana | SpringerBriefs in Forensic and Medical Bioinformatics |
| Soggetto topico |
Biomedical engineering
Orthopedics Forensic science Bioinformatics Health informatics Rehabilitation Biomedical Engineering and Bioengineering Forensic Science Computational Biology/Bioinformatics Health Informatics |
| ISBN | 981-287-320-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction to EMG Technique and Feature Extraction -- Methodology for working with EMG dataset -- Results -- Conclusions and Inferences of Present Study. |
| Record Nr. | UNINA-9910299687003321 |
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Mokhlesabadifarahani Bita
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| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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ICDSMLA 2019 : Proceedings of the 1st International Conference on Data Science, Machine Learning and Applications / / edited by Amit Kumar, Marcin Paprzycki, Vinit Kumar Gunjan
| ICDSMLA 2019 : Proceedings of the 1st International Conference on Data Science, Machine Learning and Applications / / edited by Amit Kumar, Marcin Paprzycki, Vinit Kumar Gunjan |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (2,010 pages) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Electrical Engineering |
| Soggetto topico |
Computational intelligence
Big data Artificial intelligence Application software Neural networks (Computer science) Computational Intelligence Big Data/Analytics Artificial Intelligence Information Systems Applications (incl. Internet) Mathematical Models of Cognitive Processes and Neural Networks Big Data |
| ISBN | 981-15-1420-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. Intrusion detection system using soft computing techniques: A review -- 2. Machine Learning Based Outlook for the Analysis of SNP-SNP Interaction for Biomedical Big Data -- 3. A Compendium on Network and Host based Intrusion Detection Systems -- 4. Performance Evaluation of Stochastic gammatone filters -- 5. Optimization of Multi-way Join Cost using System R* and SharesSkew -- 6. Study of K-Means Clustering Algorithm for Identification of Dengue Fever Hotspots -- 7. WhatsApp: A Business Tool in Unorganized Retail with reference to TAM -- 8. A framework for the RNA-Seq based classification and prediction of disease -- 9. Bio-Inspired AI optimization techniques to evaluate data rate and minimize interference in Cognitive Cellular Network -- 10. Reduction of PAPR in OFDM Signals Using Grey Wolf Optimization combined with SLM -- 11. Idiom Recommendation using POS tagging and Sentence Parsing -- 12. Indian and European Script Identification: A Review -- 13. Analysis of Iris Identification System by using Hybrid Based PSO Classifier -- 14. A Review on Handwritten Indian Script Identification -- 15. Intelligent Medicine Box for Medication Management using Internet-of Things. |
| Record Nr. | UNINA-9910484766703321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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