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Congress on Intelligent Systems : Proceedings of CIS 2021, Volume 1 / / edited by Mukesh Saraswat, Harish Sharma, K. Balachandran, Joong Hoon Kim, Jagdish Chand Bansal
| Congress on Intelligent Systems : Proceedings of CIS 2021, Volume 1 / / edited by Mukesh Saraswat, Harish Sharma, K. Balachandran, Joong Hoon Kim, Jagdish Chand Bansal |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (933 pages) |
| Disciplina | 006.3 |
| Collana | Lecture Notes on Data Engineering and Communications Technologies |
| Soggetto topico |
Computational intelligence
Artificial intelligence Robotics Computational Intelligence Artificial Intelligence |
| ISBN | 981-16-9416-8 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | The Extraction of Automated Vehicles Traffic Accident Factors and Scenarios using Real-World data -- Leaf Disease Identification in Rice Plants Using CNN Model -- Twitter Sentiment Analysis Based on Neural Network Techniques -- Enhanced Stock Market Prediction using Hybrid LSTM Ensemble -- Classifying Microarray Gene Expression Cancer Data using Statistical Feature Selection and Machine Learning Methods -- Pythagorean Fuzzy Information Measure with Application to Multicriteria Decision Making -- Developing an Improved Software Architecture Framework for Smart Manufacturing -- Intelligent Water Drops Algorithm Implementation using Mathematical Function -- A Study of Decision Tree Classifier to Predict Learner’s Progression -- An Overview of Blockchain and IoT in e-Healthcare System. |
| Record Nr. | UNINA-9910580161903321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Congress on Intelligent Systems : Proceedings of CIS 2021, Volume 2 / / edited by Mukesh Saraswat, Harish Sharma, K. Balachandran, Joong Hoon Kim, Jagdish Chand Bansal
| Congress on Intelligent Systems : Proceedings of CIS 2021, Volume 2 / / edited by Mukesh Saraswat, Harish Sharma, K. Balachandran, Joong Hoon Kim, Jagdish Chand Bansal |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (914 pages) |
| Disciplina | 006.3 |
| Collana | Lecture Notes on Data Engineering and Communications Technologies |
| Soggetto topico |
Computational intelligence
Artificial intelligence Robotics Computational Intelligence Artificial Intelligence |
| ISBN | 981-16-9113-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | A Novel Feature Descriptor: Color Texture Description with Diagonal Local Binary Patterns Using New Distance Metric for Image Retrieval -- OntoINT: A Framework for Ontology Integration based on Entity Linking from Heterogenous Knowledge Sources -- Removal of Occlusion in Face Images Using Pix2pix Technique for Face Recognition -- Age, Gender and Emotion Estimation Using Deep Learning -- Qualitative classification of wheat grains using supervised learning -- Assessment of Attribution in Cyber Deterrence: A Fuzzy Entropy Approach -- A Deep Learning Approach for Plagiarism Detection System using BERT -- Performance Analysis of Machine Learning Algorithms for Website Anti-phishing -- Analysis and performance of JADE on Interoperability issues between two platform Languages -- Classification of Covid 19 Chest CT images using Optimized Deep Convolutional Generative Adversarial Network and deep CNN -- Model order reduction of Continuous time multi input multi output system using Sine Cosine Algorithm.-Optimizing an Inventory Routing Problem Using a Modified Tabu Search -- Forecasting stock market indexes through machine learning using technical analysis indicators and DWT -- An Empirical Study of Signal Transformation Techniques on Epileptic Seizures Using EEG Data -- Real-Time Segregation of Encrypted Data Using Entropy -- Improved Telugu Scene Text Recognition with Thin plate spline transform -- Limacon inspired PSO for LSSMTWTS problem. |
| Record Nr. | UNINA-9910580152703321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Data Science and Applications : Proceedings of ICDSA 2024, Volume 4 / / edited by Satyasai Jagannath Nanda, Rajendra Prasad Yadav, Amir H. Gandomi, Mukesh Saraswat
| Data Science and Applications : Proceedings of ICDSA 2024, Volume 4 / / edited by Satyasai Jagannath Nanda, Rajendra Prasad Yadav, Amir H. Gandomi, Mukesh Saraswat |
| Autore | Nanda Satyasai Jagannath |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (732 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
YadavRajendra Prasad
GandomiAmir H SaraswatMukesh |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Computational intelligence
Data mining Cooperating objects (Computer systems) Internet of things Computational Intelligence Data Mining and Knowledge Discovery Cyber-Physical Systems Internet of Things |
| ISBN | 981-9626-47-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9911009146103321 |
Nanda Satyasai Jagannath
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Data Science and Applications : Proceedings of ICDSA 2024, Volume 3 / / edited by Satyasai Jagannath Nanda, Rajendra Prasad Yadav, Amir H. Gandomi, Mukesh Saraswat
| Data Science and Applications : Proceedings of ICDSA 2024, Volume 3 / / edited by Satyasai Jagannath Nanda, Rajendra Prasad Yadav, Amir H. Gandomi, Mukesh Saraswat |
| Autore | Nanda Satyasai Jagannath |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (740 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
YadavRajendra Prasad
GandomiAmir H SaraswatMukesh |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Computational intelligence
Data mining Cooperating objects (Computer systems) Internet of things Computational Intelligence Data Mining and Knowledge Discovery Cyber-Physical Systems Internet of Things |
| ISBN | 981-9622-99-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Analysis and Monitoring of LTE-TDD Traffic -- Object Detection using Deep learning -- WhatsApp Forensic Analysis for Group Chats using Exploratory Data Analysis and Natural Language Processing -- Impact of Social Media on Consumer Buying Decisions from E-Marketplaces -- Exploring various Data Mining Techniques to Predict Heart Disease. |
| Record Nr. | UNINA-9911011770603321 |
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Nanda Satyasai Jagannath
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Data Science and Applications : Proceedings of ICDSA 2024, Volume 6 / / edited by Satyasai Jagannath Nanda, Rajendra Prasad Yadav, Amir H. Gandomi, Mukesh Saraswat
| Data Science and Applications : Proceedings of ICDSA 2024, Volume 6 / / edited by Satyasai Jagannath Nanda, Rajendra Prasad Yadav, Amir H. Gandomi, Mukesh Saraswat |
| Autore | Nanda Satyasai Jagannath |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (593 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
YadavRajendra Prasad
GandomiAmir H SaraswatMukesh |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Computational intelligence
Data mining Cooperating objects (Computer systems) Internet of things Computational Intelligence Data Mining and Knowledge Discovery Cyber-Physical Systems Internet of Things |
| ISBN | 981-9611-88-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | ISLO-Tuned InceptionResNetV2 and 3D U-Net: A Powerful Duo for Automated Renal Cancer Diagnosis -- Entropy Enhanced Bilateral Filter for Denoising Medical Images with Variable Region of Interest -- Diagnosis of Pneumonia from Chest X-Ray Images using Federated Learning -- Product Recommendation Systems: The Digital Transformation to E-commerce -- A Deep Learning-Based Approach for classification of Emotions using Intelligent Facial Expression Recognition -- Performance -- Analysis of Social Media based Large Large-scale Dataset using Machine Learning Clustering Algorithm -- Severity Detection of Fall Armyworm Disease in Sorghum using Deep Learning -- A Case Study on Avicennia Community for Assessing Structural Variation Assessment through Scale Profiling using Laplacian of Gaussian Filter -- Digital Filter Designing: Minimum-order IIR Filter Design with MATLAB -- A Comparative Analysis of Machine Learning Models for Early Detection of Cardiovascular Disease -- Dementia Prediction using Hybrid Capsnet-DNN on OASIS MRI Dataset -- Robust Control of Magnetic Levitation System using Nature-inspired Algorithm based FOPID Controller -- Recognizing Mangrove Dynamics for Assessing Cyclone Impact on Henry Island using Sentinel Data -- Bi-Modal Classification For Emotion Intelligence using Peripheral Signals. |
| Record Nr. | UNINA-9911009338203321 |
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Nanda Satyasai Jagannath
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Data Science and Applications : Proceedings of ICDSA 2024, Volume 1 / / edited by Satyasai Jagannath Nanda, Rajendra Prasad Yadav, Amir H. Gandomi, Mukesh Saraswat
| Data Science and Applications : Proceedings of ICDSA 2024, Volume 1 / / edited by Satyasai Jagannath Nanda, Rajendra Prasad Yadav, Amir H. Gandomi, Mukesh Saraswat |
| Autore | Nanda Satyasai Jagannath |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (656 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
YadavRajendra Prasad
GandomiAmir H SaraswatMukesh |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Computational intelligence
Data mining Cooperating objects (Computer systems) Internet of things Computational Intelligence Data Mining and Knowledge Discovery Cyber-Physical Systems Internet of Things |
| ISBN | 981-9627-24-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Brain Tumor Classification using Gabor Transform and ANN Classifier -- Leveraging Sentiment Analysis for Enhanced Educational Video Recommendations on YouTube-Easyfy -- V2SL: The speech to sign language translator -- Soft Computing Techniques Approaches in Battery Management System: A Review -- Survey on the Pivotal Role of Artificial Intelligence and Machine Learning in Shaping the Future of 6th Generation (6G) Communications. |
| Record Nr. | UNINA-9911016078703321 |
|
Nanda Satyasai Jagannath
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Data Science and Applications : Proceedings of ICDSA 2024, Volume 2 / / edited by Satyasai Jagannath Nanda, Rajendra Prasad Yadav, Amir H. Gandomi, Mukesh Saraswat
| Data Science and Applications : Proceedings of ICDSA 2024, Volume 2 / / edited by Satyasai Jagannath Nanda, Rajendra Prasad Yadav, Amir H. Gandomi, Mukesh Saraswat |
| Autore | Nanda Satyasai Jagannath |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (686 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
YadavRajendra Prasad
GandomiAmir H SaraswatMukesh |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Computational intelligence
Data mining Cooperating objects (Computer systems) Internet of things Computational Intelligence Data Mining and Knowledge Discovery Cyber-Physical Systems Internet of Things |
| ISBN | 981-9621-79-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Impact on Sustainable Factors in Plywood Industry: A soft computing approach -- Exploring Deep Learning Approaches in Medical Image Processing for Lung Cancer Cell Detection: A Comprehensive Review -- Enhancing Fake News Detection: A Hybrid Approach with LSTM and Convolutional Neural Networks -- Detecting Imbalanced Network Traffic Intrusions using the Long Short-Term Memory (LSTM) Algorithm -- Classification and Recommendation Methods for Sleep Apnea Syndrome. |
| Record Nr. | UNINA-9911011654403321 |
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Nanda Satyasai Jagannath
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Data Science and Applications : Proceedings of ICDSA 2023, Volume 1 / / edited by Satyasai Jagannath Nanda, Rajendra Prasad Yadav, Amir H. Gandomi, Mukesh Saraswat
| Data Science and Applications : Proceedings of ICDSA 2023, Volume 1 / / edited by Satyasai Jagannath Nanda, Rajendra Prasad Yadav, Amir H. Gandomi, Mukesh Saraswat |
| Autore | Nanda Satyasai Jagannath |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (569 pages) |
| Disciplina | 005.7 |
| Altri autori (Persone) |
YadavRajendra Prasad
GandomiAmir H SaraswatMukesh |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Computational intelligence
Artificial intelligence Data mining Internet of things Computational Intelligence Artificial Intelligence Data Mining and Knowledge Discovery Internet of Things |
| ISBN |
9789819978625
9819978629 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Climate Change Parameter Dataset (CCPD): A Benchmark Dataset for Climate Change parameters in Jammu and Kashmir -- Brain Tumor Classification Using Deep Learning Techniques -- Machine learning Based Hardware Trojans Detection in Integrated Circuits: A Systematic Review -- Impact of Techno Stress on Employee Retention and Employee Turnover -- Single image dehazing using DCP with varying scattering constant -- Detecting IoT malware using federated learning -- A Deep learning approach for BGP security Improvement -- Wireless Sensor Network Protocols in Underwater Communication -- A Genetic Algorithm Approach for Portfolio Optimization -- Security Issues and Solutions in Post Quantum Authenticated Key Exchange for Mobile Devices -- Towards Decentralized Fog Computing: A comprehensive review of Models, Architectures, and Services -- Analysis of various MAC protocol 802.11 AX -- Monkeypox Disease Classification Using HOG-SVM Method -- A Deep Learning Model for Automatic Recognition of Facial Expressionsusing Haar Cascade Images -- Sensing Performance Analysis using Choatic Signal based SCMA Codebook For Secure Cognitive Communication System in 5G -- Identification of severity level for diabetic retinopathy detection using neural networks -- Metaheuristic optimized BiLSTM univariate time-series forecasting of gold prices -- Improvised Neural Machine Translation Model for Hinglish to English -- Recording of Class Attendance using DL Based Face Recognition Method -- Machine Learning Enabled Hairstyle Recommender System using Multilayer Perceptron -- Automated Health Insurance Management Framework with Intelligent Fraud Detection, Premium Prediction and Risk Prediction -- Responsible Artificial Intelligence for Music Recommendation -- A robot mapping technique for indoor environments -- A Novel Approach to Docking System for Autonomous Unmanned Aerial Vehicles -- Predicting Brain Tumor Survival using MRI Images and Machine Learning Techniques -- Intelligent Approaches of Clinical and Nonclinical Type-1 Diabetes Data Analysis -- A Learning-Based Approach For Wafer Defect Detection In Production Quality Control -- Setting Importance of Features through Means and Majority of Outcomes of Machine Learning Algorithms: An Empirical Analysis -- A Study of Simulated Working of A* and RRT* for Cargo Ship in ASVs -- ESFMS: Design of an Ensemble Sentiment analysis model for Feedback evaluation via Multimodal feature Selection process -- Towards Transfer Learning based Human Anomaly Detection in Videos -- Speech Signal Analysis Using Hybrid Feature Extraction Technique for Parkinson’s Disease Prediction -- Dataset Construction and Evaluation for Aspect-Opinion Extraction in Bangla Fine-grained Sentiment Analysis -- Improving Speaker Gender Detection by Combining Pitch and SDC -- Sentiment Analysis of Covid-19 Lockdown in India -- Applications of Smart Agriculture and an Automated Irrigation System Based on the Internet of Things -- Sensitivity of stock pricing to the optimistic and pessimistic sentimentof social media: A shreds of evidence from Nifty Indices -- Revolutionizing Cardiac Care: A Comprehensive Review of ECG-based Arrhythmia Prediction Techniques -- Yoga Posture Estimation and Correction using Mediapipe & Deep Learning Models -- Random Modulus Decomposition for Color Images Optical Asymmetric Cryptosystem Using Gyrator Domain -- A Single Line 8T SRAM Bit Cell with Robust Read, Hold Stability and Low Power -- Improving Chronic Kidney Disease Prediction using ANN with Normalization. |
| Record Nr. | UNINA-9910838288103321 |
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Nanda Satyasai Jagannath
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Data Science and Applications : Proceedings of ICDSA 2023, Volume 3 / / edited by Satyasai Jagannath Nanda, Rajendra Prasad Yadav, Amir H. Gandomi, Mukesh Saraswat
| Data Science and Applications : Proceedings of ICDSA 2023, Volume 3 / / edited by Satyasai Jagannath Nanda, Rajendra Prasad Yadav, Amir H. Gandomi, Mukesh Saraswat |
| Autore | Nanda Satyasai Jagannath |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (596 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
YadavRajendra Prasad
GandomiAmir H SaraswatMukesh |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Computational intelligence
Artificial intelligence Data mining Internet of things Computational Intelligence Artificial Intelligence Data Mining and Knowledge Discovery Internet of Things |
| ISBN |
9789819978175
9819978173 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | PV Array System Stimulation Affected By Variability in Temperature & Location -- A Real-Time Cataract Detection And Diagnosis Through Web-Based Imaging Analysis -- A Survey of Decentralized Digital Voting System using Blockchain Technology -- Multiple Infectious Disease Diagnosis and Detection using Advanced CNN Models -- Development of Indoor Autonomous Mobile BOT for Static Obstacle Avoidance -- Forest Fire Detection and Prediction using HSV and MLP -- An Insight into recent advances in the Intelligent Controller Methods -- Some Observations on Social Media Mining tools for Health Applications -- Smart Contact Lenses for Monitoring Patient’s Vision : A Generic Review -- Liver lesion detection from MR T1 In-phase and Out-phase Fused Images and CT Images using YOLOv8 -- Analyzing Blockchain Data to Detect Bitcoin Addresses Involved in Illicit Activities using Anomaly Detection -- Comparing Spring Boot and ReactJS with other Web Development Frameworks: A Study -- Performance Analysis of InceptionV3, VGG16, Resnet50 models for crevices recognition on surfaces -- A Machine Learning Approach for Moderating Toxic Hinglish Comments of YouTube Videos -- Instant Accident Detection and Emergency Alert System -- A Novel Approach to Video Summarization using AI-GPT and Speech Recognition -- Classification of Underwater Fish Species using Custom-Built Deep Learning Architectures -- Deep Learning Based Approach for Plant Disease Classification -- Prediction of liver disease using Machine Learning Algorithms -- Analysis of Detection of Glioma by Segmentation of Brain Tumor MRI images using Deep Learning -- CloneAI : A Deep Learning Based Approach for Cloned Voice Detection -- Analyzing the Performance and Wireless Network Capacity of NOMA: Study of the Impact of OMA and NOMA on 5G Network -- Malarıa Parasıte Detectıon Usıng Deep Neural Networks -- IoT-based Agriculture: Identification and Classification of Apple Quality Using Deep Learning -- Plant Disease Detection on Edge Devices.-Analyze the Quality of Wine based on Machine Learning Approach -- Safeguarding financial transaction with Cryptocurrency -- Analysis and control of Dual Active Bridge Converter for Vehicle to load application in electric vehicle -- Efficient Plant Leaf Disease Detection using a Customized Convolutional Neural Network -- Analyzing and Predicting Temperature Trends in a Metropolitan Area Using Time Series Analysis and Machine Learning Techniques -- An Explainable AI (XAI) Based Framework for Detecting Diseases in Paddy Crops -- De-noising Tail Entity Selection in Automatic Question Generation with Fine-tuned T5 Model -- Hybridization of Artificial Gravity Cuckoo Search Algorithm with XGboost- Particle Swarm Optimized Neural Networks for Cardiac Feature Selection -- Urdu Sentiment Analysis: A Review -- Fir Filter Design Using Distributed Arithmetic With Lookup Tables (LUTs) -- Classification of Brain Tumour disease with Transfer learning using modified pre-trained deep convolutional neural network -- Bayesian Optimized Traffic Sign Recognition on Social Media Data Using Deep Learning -- Enhancing the Performance of PSO Algorithm for Clustering High dimensional data using Autoencoders -- Predicting Covid-19 Outbreaks: Leveraging Machine Learning and Deep Learning Models for Trend Analysis -- Stock Price Prediction using Sentiment Analysis on Financial News -- A modified self organizing map with mean-shift clustering for seismicity analysis of earthquake catalogs -- Adopting Blockchain Technology for Smart Farming and Food Security. |
| Record Nr. | UNINA-9910805579003321 |
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Nanda Satyasai Jagannath
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Data Science and Applications : Proceedings of ICDSA 2024, Volume 5 / / edited by Satyasai Jagannath Nanda, Rajendra Prasad Yadav, Amir H. Gandomi, Mukesh Saraswat
| Data Science and Applications : Proceedings of ICDSA 2024, Volume 5 / / edited by Satyasai Jagannath Nanda, Rajendra Prasad Yadav, Amir H. Gandomi, Mukesh Saraswat |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (XVIII, 537 p. 217 illus., 186 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Computational intelligence
Data mining Cooperating objects (Computer systems) Internet of things Computational Intelligence Data Mining and Knowledge Discovery Cyber-Physical Systems Internet of Things |
| ISBN | 981-9611-85-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | SMOTE-Enhanced Machine Learning Techniques for Credit Card Fraud Detection -- Comparative Study of Clustering Algorithms for Customer Segmentation -- Persistence and Fixed Autoregression Models for Time-Series Prediction of Net Asset Value (NAV) of Savings Fund -- Emoji-RoBERTa: A Contextual Emoji Representation for Hate Speech Detection -- Software Bugs Classification using SVM, RF, DT Algorithms -- Ascend.AI - Building Confidence Through Technology: A Technical Exploration of Facial Expression, Tone and Pitch Analysis with Chatbot Guidance -- Transformer Generative AI Model for Enhanced Molecular Property Prediction -- Compaction and Restoration of the S-transform based on N-fold Redundancy -- Deep Learning-based Electric Vehicle Charging Load Prediction: A Comparative Study -- A Comparative Analysis of Quantum Programming Bug Detection Tools -- DWMS-HGR: 1D CNN for Hand Gesture Recognition on Normalized sEMG Signals with Sliding Window -- Secured File-Sharing: Hybrid Encryption and Network Theory for Enhanced Privacy -- Kernel Density Estimation based Clustering for Visual Walking Stick Detection in Human-Robot Coexisting Environments -- Optimizing Battery Efficiency: Design and Implementation of a Fuzzy Logic based Controller for Hybrid Energy Storage System in Electric Vehicles. |
| Record Nr. | UNINA-9911003588703321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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