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Biological antenna to the humanoid bot : electromagnetic resonances in biomaterials / / Pushpendra Singh, Kanad Ray and Anirban Bandyopadhyay
| Biological antenna to the humanoid bot : electromagnetic resonances in biomaterials / / Pushpendra Singh, Kanad Ray and Anirban Bandyopadhyay |
| Autore | Singh Pushpendra |
| Pubbl/distr/stampa | Gateway East, Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (254 pages) |
| Disciplina | 006.3 |
| Collana | Studies in Rhythm Engineering |
| Soggetto topico |
Biomimetic materials
Artificial intelligence Electromagnetism |
| ISBN |
981-16-9676-4
981-16-9677-2 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910743215803321 |
Singh Pushpendra
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| Gateway East, Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Emotion, Cognition and Silent Communication: Unsolved Mysteries [[electronic resource] /] / by Tanusree Dutta, Anirban Bandyopadhyay
| Emotion, Cognition and Silent Communication: Unsolved Mysteries [[electronic resource] /] / by Tanusree Dutta, Anirban Bandyopadhyay |
| Autore | Dutta Tanusree |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (410 pages) |
| Disciplina | 621.3 |
| Altri autori (Persone) | BandyopadhyayAnirban |
| Collana | Studies in Rhythm Engineering |
| Soggetto topico |
Electrical engineering
Computational neuroscience Cognitive psychology Interpersonal communication Intellect Electrical and Electronic Engineering Computational Neuroscience Cognitive Psychology Communication Psychology Intelligence |
| ISBN | 981-9993-34-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Unsolved Mysteries of the Mind and the Brain: Fractal Brain Hypothesis -- Quantized Interhemispheric Energy Transfer: Learning Motorized Tasks -- Universal Thermal Markers of Human Emotions: Geometric-Biological Invariants for Emotional Transitions -- Are Errors Indicative of Learning Strategies: Use It or Minimize It? -- DDG, An Electromagnetic Version of EEG Finds Evidence of A Self-Operating Mathematical Universe (Somu) When a Human Subject Converses With an Artificial Brain -- Silent Group Discussion Using Only Via a Visual Contact Under a Dim Light: Testing Collective Decision-Making -- Quantized Thoughts as Structure of Time: Cognitive Engineering for AI: An Octave Drawing Test for Mathematical Structure of a Subconscious Mind -- Happiness as a Local Invariant of Pain: A Perspective on Spontaneous and Induced Emotions -- Social Awareness Against Sexual Harassment Triggering Excitatory Cognition Could be Negated using a Pure Awe Experience -- The Genesis of Classifying Humans for their Diversified Brain Hardware in the Light of Somu Theory of Consciousness. |
| Record Nr. | UNINA-9910831014303321 |
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Dutta Tanusree
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Engineering Vibration, Communication and Information Processing [[electronic resource] ] : ICoEVCI 2018, India / / edited by Kanad Ray, S. N. Sharan, Sanyog Rawat, S. K. Jain, Sumit Srivastava, Anirban Bandyopadhyay
| Engineering Vibration, Communication and Information Processing [[electronic resource] ] : ICoEVCI 2018, India / / edited by Kanad Ray, S. N. Sharan, Sanyog Rawat, S. K. Jain, Sumit Srivastava, Anirban Bandyopadhyay |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (756 pages) |
| Disciplina | 620.3 |
| Collana | Lecture Notes in Electrical Engineering |
| Soggetto topico |
Electrical engineering
Vibration Dynamical systems Dynamics Neural networks (Computer science) Power electronics Communications Engineering, Networks Vibration, Dynamical Systems, Control Mathematical Models of Cognitive Processes and Neural Networks Power Electronics, Electrical Machines and Networks |
| ISBN | 981-13-1642-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1: Temporomandibular Joint Syndrome Prediction Using Neural Network -- Chapter 2: Optimization of AlGaN QW Heterostructure for UV Applications -- Chapter 3: Experimental Performance Evaluation of Cloud Servers in Ad Hoc Cloud Network -- Chapter 4: Analyzing Performance of Apache Pig and Apache Hive with Hadoop -- Chapter 5: Characterization of path loss for VHF terrestrial band in Aizawl, Mizoram (India) -- Chapter 6: A Comparative Performance Evaluation of Beamforming Techniques for a 2 x 6 Coaxial Cavity Horn Antenna Array for MELISSA -- Chapter 7: The impacts of exposure to low frequencies in the human auditory system - a methodological proposal -- Chapter 8: Behavior of Single Pylon of Air Cooled Con-denser Support Structure under Seismic and Wind forces -- Chapter 9: Rice Moisture Detection Based on Oven Drying Technique Using Microstrip Ring Sensor -- Chapter 10: A Novel Method to Smart City Water Management System with IoT devices and sensor device through Arduino -- Chapter 11: A Novel Fabric Adhesive UWB Magneto-Electric Dipole Antenna -- Chapter 12: Experimental Investigation using Laser Vibrometer and Finite Element Modeling for Modal Analysis of Cam Shaft -- Chapter 13: Performance Evaluation of Cognitive Internet of Things in Asynchronous Distributed space Time Block Codes over Two Wave Diffuse Power -- Chapter 14: Wavefunctions and Optical Gain in 〖〖In〗_(0.3) Ga〗_(0.7) As/Ga〖As〗_(0.4) 〖Sb〗_(0.6) Type-II Double Quantum Well Nano-heterostructure under External Uniaxial Strain. |
| Record Nr. | UNINA-9910350310803321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Proceedings of the Fifth International Conference on Trends in Computational and Cognitive Engineering : TCCE 2023, Volume 1
| Proceedings of the Fifth International Conference on Trends in Computational and Cognitive Engineering : TCCE 2023, Volume 1 |
| Autore | Kaiser M. Shamim |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Singapore : , : Springer, , 2024 |
| Descrizione fisica | 1 online resource (651 pages) |
| Altri autori (Persone) |
SinghRaghvendra
BandyopadhyayAnirban MahmudMufti RayKanad |
| Collana | Lecture Notes in Networks and Systems Series |
| ISBN |
9789819719235
9789819719228 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Organization -- Preface -- Contents -- Editors and Contributors -- Soft Computing and Computational Intelligence -- Deep Learning Approach to Compose Short Stories Based on Online Hospital Reviews of Tirunelveli Region -- 1 Introduction and Significance -- 2 CVAE Technique for Story Creation -- 3 SSHR Model Approaches -- 4 Evaluation Analysis of SSHR -- 5 Conclusion and Discussion -- References -- Music Emotion Recognition for Intelligent and Efficient Recommendation Systems -- 1 Introduction -- 2 Related Works -- 3 Traditional and Proposed Approach -- 3.1 Recommendation System -- 3.2 Proposed Work -- 4 Methods -- 4.1 Face Recognition and Image Processing -- 4.2 OpenCV Software -- 4.3 Fisherface Classifier -- 5 Results and Discussion -- 5.1 Measurement of Precision, F1-Score, and Recall -- 6 Conclusion -- References -- BScFilter: A Deep Learning Approach for Sports Comments Filtering in a Resource Constraint Language -- 1 Introduction -- 2 Related Work -- 3 Dataset Development -- 4 Methodology -- 5 Results and Analysis -- 6 Conclusion and Future Work -- References -- HABE Secure Access at Cloud-Healthcare Database -- 1 Introduction -- 2 State of the Art -- 3 Problem Formulation -- 4 ABE Framework Overview -- 5 Proposed Mechanism -- 6 Performance Analysis -- 7 Conclusion and Future Work -- References -- Comparative Analysis of Nature-Inspired Algorithms for Task Assignment Problem -- 1 Introduction -- 1.1 Jaya Optimization Algorithm (JOA) -- 1.2 Ant Colony Optimization (ACO) -- 1.3 Genetic Algorithm (GA) -- 1.4 Differential Evolution Algorithm (DE) -- 2 Problem Statement -- 3 Simulation Analysis and Discussion -- 3.1 Experimental Setup -- 3.2 Experimental Outcomes -- 3.3 Discussion of Results -- 4 Conclusion -- References.
A Novel Approach for Object Recognition in Hazy Scenes: Integrating YOLOv7 Architecture with Boundary-Constrained Dehazing -- 1 Introduction -- 2 Literature Review -- 3 Framework -- 4 Implementation and Result -- 5 Conclusion -- References -- Dynamic Multihead Attention for Enhancing Neural Machine Translation Performance -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 4 Results -- 5 Conclusion and Future Scope -- References -- Scratch Vision Transformer Model for Diagnosis Grape Leaf Disease -- 1 Introduction -- 2 Related Work -- 3 Dataset -- 4 Experiment and Analysis -- 4.1 Experimenting with Scratch Vision Transformer -- 4.2 Confusion Matrix -- 4.3 Training Loss and Validation Loss -- 5 Results and Discussion -- 6 Conclusion -- References -- Multilevel Association Mining with Particle Swarm Optimization: A Comprehensive Approach for High-Utility Itemset Discovery -- 1 Introduction -- 2 Related Works -- 3 Methods -- 4 Results and Discussion -- 5 Conclusion -- References -- Attention-Based Neural Machine Translation for Multilingual Communication -- 1 Introduction -- 2 Related Works -- 2.1 Per-language Encoder-Decoder -- 3 Methodology -- 4 Results -- 5 Conclusion -- References -- Use of Deep Learning to Handle Early-Stage Business Data -- 1 Introduction -- 1.1 Background and Motivation -- 1.2 Objective -- 1.3 Scope of Study -- 2 Literature Survey -- 3 Research Methodology -- 3.1 Data Collection and Preprocessing -- 3.2 Feature Extraction and Representation -- 4 Early-Stage Business Data Analysis -- 4.1 Data Characteristics and Challenges -- 4.2 Deep Learning Approaches for Early-Stage Data -- 4.3 Predictive Analysis and Forecasting -- 4.4 Anomaly Detection and Risk Management -- 5 Handling Early-Stage Business Data: Implementation Using Python -- 5.1 Exploring the Dataset and Identifying Predictors -- 5.2 Preprocessing of Data. 5.3 Balancing the Data -- 5.4 Loading of Pre-processed Data -- 5.5 Learning and Interpreting the Result by Creating a Model -- 5.6 Setting an Early Stopping Mechanism -- 5.7 Testing the Model -- 6 Analysis and Limitations -- 7 Conclusion -- References -- An Efficient Text-Based Document Categorization with k-Means and Cuckoo Search Optimization -- 1 Introduction -- 2 Related Works -- 3 Methods -- 4 Results and Discussion -- 5 Conclusion -- References -- Potato Leaf Disease Detection and Classification Using Deep Learning -- 1 Introduction -- 2 Literature Review -- 3 Dataset Overview -- 4 Proposed Methodology -- 4.1 Image Resizing -- 4.2 Image Augmentation -- 4.3 Histogram Equalization -- 4.4 CLAHE -- 5 Experimental Set-Up -- 5.1 ResNet50 -- 5.2 VGG16 -- 5.3 VGG19 -- 5.4 MobileNet -- 6 Result and Discussion -- 7 Conclusion -- 8 Future Scope -- References -- Disease Detection -- Parkinson's Disease Detection Using Machine Learning -- 1 Introduction -- 2 Literature Review -- 3 Implemented Approach -- 3.1 About Dataset -- 3.2 Data Preprocessing -- 3.3 Algorithms Used for Classification -- 3.4 Metrics Used to Access the Performance of Implementation -- 4 Result and Discussion -- 5 Conclusion and Future Scope -- References -- Comparative Analysis of ML Models for Brain Tumor Detection -- 1 Introduction -- 2 Related Work -- 3 Dataset Description -- 4 Methodology -- 4.1 Model Selection -- 4.2 Model Creation Using Orange -- 5 Result and Discussion -- 6 Conclusion -- References -- Machine Learning-Based Prediction of COVID-19: A Robust Approach for Early Diagnosis and Treatment -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Data Gathering -- 3.2 Dataset -- 3.3 Data Preparation -- 3.4 Data Normalization -- 3.5 Data Splitting -- 3.6 The Application of Algorithms -- 3.7 Model Assessment -- 3.8 Choosing the Best Algorithm -- 4 Result Analysis. 4.1 Accuracy -- 4.2 Jaccard Score -- 4.3 Cross-Validated Score -- 5 Conclusion -- References -- The Prediction of Diabetes Using Machine Learning in the Healthcare System -- 1 Introduction -- 2 Literature Study -- 3 Methodology -- 3.1 Data Collection -- 3.2 Data Preprocessing -- 3.3 Algorithm -- 4 Simulation Result -- 5 Conclusion and Future Scope -- References -- A Fuzzy-Based Vision Transformer Model for Tea Leaf Disease Detection -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Dataset -- 3.2 Data Splitting -- 4 Experimental Result -- 4.1 Accuracy -- 4.2 Precision -- 4.3 Recall -- 4.4 Analysis of Model Accuracy and Training Times -- 4.5 Experimenting with Vision Transformer -- 4.6 Confusion Matrix -- 4.7 Training Loss and Validation Loss -- 5 Contribution -- 6 Conclusion -- 7 Limitations and Future Works -- References -- Towards Federated-Deep Learning-Based Glaucoma Detection from Color Fundus Images -- 1 Introduction -- 2 Literature Review -- 3 CNN and Federated Learning -- 3.1 Convolution Neural Network -- 3.2 Federated Learning -- 3.3 Used Dataset -- 3.4 Data Pre-processing -- 3.5 Federated Learning Technique -- 3.6 AlexNet Architecture -- 4 Proposed Architecture -- 5 Performance Analysis -- 6 Limitations and Future Scopes -- 7 Conclusions -- References -- Inventing the Potential of a High-Frequency EEG, Namely Dodecanogram (DDG): Human Subjects' Study -- 1 Introduction -- 2 Methods -- 2.1 Construction of DDG -- 3 Discussion -- 3.1 Triplet-of-Triplet Electromagnetic Radiation Mapping from the Whole Human Body Using Dodecanogram, DDG -- 3.2 Human Subjects Study Using DDG Technology -- 4 Conclusion -- References -- Real-Time Prediction of Diabetes Complications Using Regression-Based Machine Learning Models -- 1 Introduction -- 2 Literature Review -- 3 Proposed Method -- 3.1 Methods for Measuring Blood Glucose Levels. 3.2 Data Preprocessing -- 3.3 Machine Learning Classifiers -- 4 Performance Evaluation -- 5 Result Analysis -- 6 Conclusion -- References -- Network and Cyber Security -- Exploring Open Access Cybersecurity Datasets for Machine Learning-Based Cyberattack Detection -- 1 Introduction -- 2 Literature Review -- 3 Basic Security Concepts -- 4 Cybersecurity Datasets -- 4.1 CICID2017 -- 4.2 VIRUS-MNIST: A BENCHMARK MALWARE -- 4.3 Dumpware10: A Dataset for Memory Dump Based Malware Image Recognition -- 4.4 CCCS-CIC-AndMal2020 -- 4.5 Malimg Malware Images -- 4.6 KDD Cup'99 -- 4.7 NSL-KDD -- 4.8 DARPA -- 4.9 UNSW-NB15 -- 4.10 IoT-23 -- 4.11 CTU-13 -- 5 Types of Attack in Cyberspace -- 5.1 Cross-Site Scripting -- 5.2 SQL Injection Attacks -- 5.3 Broken Authentication -- 5.4 Drive-By Download -- 5.5 Password-Based Attacks -- 5.6 Fuzzing -- 5.7 Using Components with Known Vulnerabilities -- 5.8 Distributed Denial-of-Service (DDoS) -- 5.9 Man-in-the-Middle (MiTM) -- 5.10 Directory Traversal -- 6 Machine Learning Algorithms -- 6.1 Random Forest -- 6.2 ECOC-SVM -- 6.3 SVM -- 6.4 KNN -- 6.5 Logistic Regression -- 6.6 CatBoost -- 6.7 MDRL-SLSTM -- 6.8 RC-NN -- 6.9 Voting Extreme Learning Machine (V-ELM) -- 6.10 ExtraTrees Classifier -- 7 Limitations and Future Work -- 8 Conclusion -- References -- Design and Development of a Reliable Blockchain-Based Pension System -- 1 Introduction -- 2 Blockchain -- 3 Methodology Adopted to Implement a Blockchain-Secured Pension System -- 4 Implementation of Blockchain-Secured Pension System -- 5 Results and Discussion -- 6 Conclusion and Future Scope -- References -- Comparative Analysis of CatBoost Against Machine Learning Algorithms for Classification of Altered NSL-KDD -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Data Preprocessing -- 3.2 Classification and Evaluation. 3.3 Evaluation Metrics and Model Comparison. |
| Record Nr. | UNINA-9910865274403321 |
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Kaiser M. Shamim
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| Singapore : , : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Proceedings of the Fourth International Conference on Trends in Computational and Cognitive Engineering [[electronic resource] ] : TCCE 2022 / / edited by M. Shamim Kaiser, Sajjad Waheed, Anirban Bandyopadhyay, Mufti Mahmud, Kanad Ray
| Proceedings of the Fourth International Conference on Trends in Computational and Cognitive Engineering [[electronic resource] ] : TCCE 2022 / / edited by M. Shamim Kaiser, Sajjad Waheed, Anirban Bandyopadhyay, Mufti Mahmud, Kanad Ray |
| Autore | Kaiser M. Shamim |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (537 pages) |
| Disciplina | 621.39 |
| Altri autori (Persone) |
WaheedSajjad
BandyopadhyayAnirban MahmudMufti RayKanad |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Computational intelligence
Artificial intelligence Computer vision Internet of things Computational Intelligence Artificial Intelligence Computer Vision Internet of Things |
| Soggetto non controllato |
Engineering
Technology & Engineering |
| ISBN | 981-19-9483-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Early Prediction and Analysis of DTI and MRI-based Alzheimer's Disease through Machine Learning Techniques -- Ensemble Machine Learning Technique for Identifying COVID-19 from CT Scan Images -- Machine Learning Based Tomato Leaf Disease Diagnosis Using Radiomics Features -- Effective Feature Extraction via Segmented t-Stochastic Neighbor Embedding for Hyperspectral Image Classification. |
| Record Nr. | UNINA-9910728396803321 |
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Kaiser M. Shamim
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Proceedings of Trends in Electronics and Health Informatics [[electronic resource] ] : TEHI 2022 / / edited by Mufti Mahmud, Claudia Mendoza-Barrera, M. Shamim Kaiser, Anirban Bandyopadhyay, Kanad Ray, Eduardo Lugo
| Proceedings of Trends in Electronics and Health Informatics [[electronic resource] ] : TEHI 2022 / / edited by Mufti Mahmud, Claudia Mendoza-Barrera, M. Shamim Kaiser, Anirban Bandyopadhyay, Kanad Ray, Eduardo Lugo |
| Autore | Mahmud Mufti |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (506 pages) |
| Disciplina | 610.285 |
| Altri autori (Persone) |
Mendoza-BarreraClaudia
KaiserM. Shamim BandyopadhyayAnirban RayKanad LugoEduardo |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Power electronics
Medical informatics Artificial intelligence Quantitative research Power Electronics Health Informatics Artificial Intelligence Data Analysis and Big Data |
| ISBN | 981-9919-16-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Experimental Study of High-Frequency Drill String Vibrations Under Different Conditions -- Flexible Systolic Hardware Architecture for Computing a Custom Lightweight CNN in CT Images Processing for Automated COVID-19 Diagnosis -- Dimensionality Reduction in Handwritten Digit Recognition -- Obtaining Fractal Dimension for Gene Expression Time Series Using an Artificial Neural Network -- Grouping by Mixture of Normals for Breast Cancer in Two Groups, Benign and Malignant. |
| Record Nr. | UNINA-9910734867003321 |
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Mahmud Mufti
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Rhythmic advantages in big data and machine learning / / Anirban Bandyopadhyay, Kanad Ray, editors
| Rhythmic advantages in big data and machine learning / / Anirban Bandyopadhyay, Kanad Ray, editors |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (270 pages) |
| Disciplina | 006.31 |
| Collana | Studies in Rhythm Engineering |
| Soggetto topico | Machine learning |
| ISBN |
981-16-5722-X
981-16-5723-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910743370603321 |
| Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Rhythmic oscillations in proteins to human cognition / / Anirban Bandyopadhyay, Kanad Ray, editors
| Rhythmic oscillations in proteins to human cognition / / Anirban Bandyopadhyay, Kanad Ray, editors |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Gateway East, Singapore : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (X, 361 p. 149 illus., 110 illus. in color.) |
| Disciplina | 612.022 |
| Collana | Studies in rhythm engineering |
| Soggetto topico | Biological rhythms |
| ISBN | 981-15-7253-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Macromolecular Resonances -- Reformulating Physics Without Time -- Electric and magnetic fields inside neurons and their impact upon the cytoskeletal microtubules -- Time Crystal Engineering in Catalytic Reaction Cycles -- Blue light spectroscopy from electronic visual displays -- Quantum neural networks and Quantum Intelligence -- Oscillations and synchrony in a network of delayed neural masses -- Consciousness in the Universe, as Tuned by a Musical Master Code: A Hydrodynamic Superfluid Quantum Space Guides a Conformal Mental Attribute of Reality. The Hard Problem in Consciousness Studies Revisited. |
| Record Nr. | UNINA-9910484605103321 |
| Gateway East, Singapore : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Soft Computing Applications [[electronic resource] /] / edited by Kanad Ray, Millie Pant, Anirban Bandyopadhyay
| Soft Computing Applications [[electronic resource] /] / edited by Kanad Ray, Millie Pant, Anirban Bandyopadhyay |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (X, 165 p. 68 illus., 43 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Studies in Computational Intelligence |
| Soggetto topico |
Computational intelligence
Signal processing Image processing Speech processing systems Electrical engineering Artificial intelligence Computational Intelligence Signal, Image and Speech Processing Communications Engineering, Networks Artificial Intelligence |
| ISBN | 981-10-8049-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | A Brain like Computer Made of Time crystal: Could a Metric of Prime alone Replace a User and Alleviate Programming Forever? -- Optimum Selection of Energy-Efficient Material: A MCDM Based Distance Approach -- Role of Sodium, Potassium and Synaptic Conductance in STN-GPe Model of Basal Ganglia in Parkinson Disease -- A New Hybrid Algorithm Using Chaos Enhanced Differential Evolution For Loss Minimization With Improvement of Voltage Profile of Distribution Systems -- Fractal and Periodical Biological Antennas: Hidden Topologies in DNA, Wasps and Retina in the Eye -- Efficient Multiprocessor Scheduling Using Water Cycle Algorithm -- Estimating Software Reliability Growth Model Parameters Using Opposition Based Shuffled Frog-Leaping Algorithm. |
| Record Nr. | UNINA-9910299908603321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Soft Computing: Theories and Applications [[electronic resource] ] : Proceedings of SoCTA 2017 / / edited by Kanad Ray, Tarun K. Sharma, Sanyog Rawat, R. K. Saini, Anirban Bandyopadhyay
| Soft Computing: Theories and Applications [[electronic resource] ] : Proceedings of SoCTA 2017 / / edited by Kanad Ray, Tarun K. Sharma, Sanyog Rawat, R. K. Saini, Anirban Bandyopadhyay |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (717 pages) : illustrations |
| Disciplina | 006.3 |
| Collana | Advances in Intelligent Systems and Computing |
| Soggetto topico |
Engineering
Telecommunication Computational Intelligence Signal, Image and Speech Processing Communications Engineering, Networks |
| ISBN | 981-13-0589-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1: An Analysis of Authors productivity in RFID & Supply Chain Management -- Chapter 2: Meta Heuristic Techniques Study for Fault Tolerant in Cloud Computing Environment: A Survey Work -- Chapter 3: Complexity Metrics for Component Based Software System -- Chapter 4: DESIGN AND ANALYSIS OF ON-CHIP LOW POWER, LOW DROP-OUT VOLTAGE REGULATOR using FFRC and MCC Techniques -- Chapter 5: Study and Analysis of Back-Propagation Approach in Artificial Neural Network using HOG Descriptor for Real-time Object Classification -- Chapter 6: Identification of relevant stochastic input variables for prediction of daily PM10 using Artificial Neural Networks -- Chapter 7: Field based Weighting Information Retrieval on Document field of Ad hoc dataset . |
| Record Nr. | UNINA-9910484364703321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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