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Data Engineering and Applications : Proceedings of the International Conference, IDEA 2K22, Volume 1 / / edited by Jitendra Agrawal, Rajesh K. Shukla, Sanjeev Sharma, Chin-Shiuh Shieh
| Data Engineering and Applications : Proceedings of the International Conference, IDEA 2K22, Volume 1 / / edited by Jitendra Agrawal, Rajesh K. Shukla, Sanjeev Sharma, Chin-Shiuh Shieh |
| Autore | Agrawal Jitendra |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (617 pages) |
| Disciplina | 620.00285 |
| Altri autori (Persone) |
ShuklaRajesh K
SharmaSanjeev ShiehChin-Shiuh |
| Collana | Lecture Notes in Electrical Engineering |
| Soggetto topico |
Engineering - Data processing
Application software Quantitative research Data Engineering Computer and Information Systems Applications Data Analysis and Big Data |
| ISBN | 981-9700-37-X |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Review of Methods for Handling Class-Imbalanced in Classification Problems -- Course Material Recommendation System Using Student Learning Behavior and Course Material Complexity Score for Slow Learner Students -- A Benchmarking Investigation of Evolutionary Algorithms to resolve the COVID Sample Collection Problem -- Using OpenNLP and GraalVM to detect sentences in Kubernetes while comparing Helidon and Spring Boot's metrics -- An Efficient Hybrid Model to Summarize the Text using Transfer Learning -- Automatic Detection of Learner's Learning Style -- Construction of an Intelligent Knowledge based System using Transformer Model -- Machine Learning-Based Disease Diagnosis using Body Signals: A Review -- Finite-Difference and Finite-Volume 1D Steady-State Heat Conduction model for Machine Learning Algorithms -- Sign Language Detection Through PCANet and SVM -- A Novel Surface Roughness Estimation and Optimization Model for Turning Process Using RSM-JAYA Method -- Effective Prediction of Coronary Heart Disease Using Hybrid Machine Learning -- Feature Extraction Using Levy Distribution-Based Salp Swarm Algorithm -- Plant Disease Detection using Machine Learning Approaches: A Review -- Copy Move Forgery Detection Algorithm: A Machine Learning based approach to detect Image Forgery -- A Machine Learning based Approach to Combat Hate Speech on Social Media -- Prediction of SARS – COVID – 19 Based on Transfer Machine Learning Techniques using Lungs CT Scan Images -- Online Document Identification and Verification using Machine Learning Model. |
| Record Nr. | UNINA-9910886089303321 |
Agrawal Jitendra
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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 Engineering and Applications : Proceedings of the International Conference, IDEA 2K22, Volume 2 / / edited by Jitendra Agrawal, Rajesh K. Shukla, Sanjeev Sharma, Chin-Shiuh Shieh
| Data Engineering and Applications : Proceedings of the International Conference, IDEA 2K22, Volume 2 / / edited by Jitendra Agrawal, Rajesh K. Shukla, Sanjeev Sharma, Chin-Shiuh Shieh |
| Autore | Agrawal Jitendra |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (463 pages) |
| Disciplina | 005.7 |
| Altri autori (Persone) |
ShuklaRajesh K
SharmaSanjeev ShiehChin-Shiuh |
| Collana | Lecture Notes in Electrical Engineering |
| Soggetto topico |
Engineering - Data processing
Application software Quantitative research Data Engineering Computer and Information Systems Applications Data Analysis and Big Data |
| ISBN | 981-9724-51-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Review of Methods for Handling Class-Imbalanced in Classification Problems -- Course Material Recommendation System Using Student Learning Behavior and Course Material Complexity Score for Slow Learner Students -- A Benchmarking Investigation of Evolutionary Algorithms to resolve the COVID Sample Collection Problem -- Using OpenNLP and GraalVM to detect sentences in Kubernetes while comparing Helidon and Spring Boot's metrics -- An Efficient Hybrid Model to Summarize the Text using Transfer Learning -- Automatic Detection of Learner's Learning Style -- Construction of an Intelligent Knowledge based System using Transformer Model -- Machine Learning-Based Disease Diagnosis using Body Signals: A Review -- Finite-Difference and Finite-Volume 1D Steady-State Heat Conduction model for Machine Learning Algorithms -- Sign Language Detection Through PCANet and SVM -- A Novel Surface Roughness Estimation and Optimization Model for Turning Process Using RSM-JAYA Method -- Effective Prediction of Coronary Heart Disease Using Hybrid Machine Learning -- Feature Extraction Using Levy Distribution-Based Salp Swarm Algorithm -- Plant Disease Detection using Machine Learning Approaches: A Review -- Copy Move Forgery Detection Algorithm: A Machine Learning based approach to detect Image Forgery -- A Machine Learning based Approach to Combat Hate Speech on Social Media -- Prediction of SARS – COVID – 19 Based on Transfer Machine Learning Techniques using Lungs CT Scan Images -- Online Document Identification and Verification using Machine Learning Model. |
| Record Nr. | UNINA-9910886078603321 |
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Agrawal Jitendra
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Machine Learning Algorithms : First International Conference, ICMLA 2024, Himachal Pradesh, India, February 23–24, 2024, Proceedings / / edited by Meenu Khurana, Abhishek Thakur, Praveen Kantha, Chin-Shiuh Shieh, Rajesh K. Shukla
| Machine Learning Algorithms : First International Conference, ICMLA 2024, Himachal Pradesh, India, February 23–24, 2024, Proceedings / / edited by Meenu Khurana, Abhishek Thakur, Praveen Kantha, Chin-Shiuh Shieh, Rajesh K. Shukla |
| Autore | Khurana Meenu |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (485 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
ThakurAbhishek
KanthaPraveen ShiehChin-Shiuh ShuklaRajesh K |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Machine learning Expert systems (Computer science) Artificial Intelligence Machine Learning Knowledge Based Systems |
| ISBN |
9783031758614
3031758617 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- Machine Learning. -- Performance Evaluation of Hybrid Machine Learning Models for Prediction of Coronary Disorder in Smart Healthcare Systems -- Feature Based Machine Learning Models for Cardiovascular Disease Diagnosis: An Experimental Analysis. -- Early Liver Disease Detection through Visual Interface and Machine Learning. -- Diagnosing Autism Spectrum Disorder in Children Using Various Machine Learning Methods: A Review. -- Quantum Influence on Social Media Content: Employing Machine Learning for Sentiment Analysis. -- Predicting Forex Trends: A Comprehensive Analysis of Supervised Learning in Exchange Rate Prediction. -- 5G wireless technology throughput prediction using ensemble machine learning approach. -- Severity prediction of Omicron Sub-Variant JN.1 by using Machine Learning. -- IoT-inspired Smart Drought Prediction Framework: Machine Learning Approach. -- Deep DWT Feature Modeling for Alzheimer’s Disease Prediction: A Unique Approach. -- MobileNetV2: A proficient convolutional neural network for the Classification of Date Fruits into Genetic Varieties. -- Greenhouse Gas Prediction Using LSTM Algorithm Based on Microsensor in Bandung City, Indonesia. -- Revolutionizing Education: Assessing the Effectiveness of SER-CTL Methodology in Post-COVID Learning Environments. -- Improved Whale Optimization Algorithm for Cluster Analysis. -- Property Price Prediction using Regression Analysis. -- Personalized Healthcare Recommendations with Q-Learning Reinforcement Learning. -- Pioneering Healthcare Innovations with the Convergence of Blockchain, AI, and the Internet of Medical Things (IoMT). -- The Evolution and Potential of Conversational Agents in Healthcare. -- A Computer Aided Detection System for Lung Nodules Classification. -- A Note on Interpolation of Hermitian Signal: Based on Centrosymmetric Property. -- An Efficient Algorithm for Hadamard Product of Centrosymmetric Matrices. -- Investigation on Combined Impacts of Different Clustering Techniques and Enhanced K-means Algorithm. -- Comprehensive Exploration of IoT Communication Protocol: CoAP, MQTT, HTTP, LoRaWAN and AMQP. -- A Systematic Review on Blockchain Technology. -- A survey on datasets, feature extraction and classification techniques used in personality classification from hand-writing. -- Image Processing. -- A Generic Approach for Detection of Copy-Move Forgery Detection Scheme from Digital Images. -- An Effective Biometric Medical Image Watermarking System Designed for e-Health Application. -- Exploring Diverse Techniques in Image and Video Forgery. -- Enhancing the Accuracy of Automatic Bone Age Estimation using Optimized CNN Model on X-Ray Images. -- Machine learning-based detection of forgery in digital images. -- FaceEvoke: Eliciting Emotions through Facial Analysis. -- Efficient Aerial Object Detection: An Exploration with YOLOv8. -- Kidney Tumor Classification using Deep Learning Techniques from Computed Tomography Images. -- Unsupervised Learning for Image Forgery Detection. -- An advanced approach to detect and classify lung nodules using CT image. -- Robust Iris Image Encryption via Black Widow Optimization Method. -- Deep Learning. -- An Analysis of Deep Learning Models for Conversational Agents in Healthcare. -- Critical Evaluation of Deep Learning Models for Heart Disease Detection. -- Revolutionizing Cancer Diagnosis: The Power of Deep Learning Ensembles in Lung and Colon Cancer. -- VGG-Inspired Convolutional Neural Network Denoiser for the Enhancement of Mammogram Images. |
| Record Nr. | UNINA-9910983323903321 |
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Khurana Meenu
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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