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Titolo: | Cybernetics, cognition and machine learning applications : proceedings of ICCCMLA 2020 / / Vinit Kumar Gunjan [and three others] editors |
Pubblicazione: | Cham, Switzerland : , : Springer, , [2021] |
©2021 | |
Descrizione fisica: | 1 online resource (427 pages) |
Disciplina: | 006.3 |
Soggetto topico: | Artificial intelligence |
Intel·ligència artificial | |
Aprenentatge automàtic | |
Soggetto genere / forma: | Congressos |
Llibres electrònics | |
Persona (resp. second.): | GunjanVinit Kumar |
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. | |
Titolo autorizzato: | Cybernetics, cognition and machine learning applications |
ISBN: | 981-336-691-5 |
Formato: | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910484217003321 |
Lo trovi qui: | Univ. Federico II |
Opac: | Controlla la disponibilità qui |