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Advanced Computing [[electronic resource] ] : 13th International Conference, IACC 2023, Kolhapur, India, December 15–16, 2023, Revised Selected Papers, Part I / / edited by Deepak Garg, Joel J. P. C. Rodrigues, Suneet Kumar Gupta, Xiaochun Cheng, Pushpender Sarao, Govind Singh Patel
| Advanced Computing [[electronic resource] ] : 13th International Conference, IACC 2023, Kolhapur, India, December 15–16, 2023, Revised Selected Papers, Part I / / edited by Deepak Garg, Joel J. P. C. Rodrigues, Suneet Kumar Gupta, Xiaochun Cheng, Pushpender Sarao, Govind Singh Patel |
| Autore | Garg Deepak |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (525 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
RodriguesJoel J. P. C
GuptaSuneet Kumar ChengXiaochun SaraoPushpender PatelGovind Singh |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Computer engineering Computer networks Application software Education - Data processing Image processing - Digital techniques Computer vision Artificial Intelligence Computer Engineering and Networks Computer and Information Systems Applications Computers and Education Computer Imaging, Vision, Pattern Recognition and Graphics |
| ISBN | 3-031-56700-5 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | The AI Renaissance: A New Era of Human-Machine Collaboration -- Age and Gender Estimation through Dental X-Ray Analysis -- Driver Drowsiness Detection System Using Machine Learning Techniques -- Facial Expression Recognition: Detection and Tracking -- Analysis and Implementation of Driver Drowsiness, Distraction, and Detection System -- Object Detection and Depth Estimation using Deep Learning -- Optimizing Biomass Forecasting & Supply Chain: An Integrated Modelling Approach -- Prediction of Deposition Parameters in Manufacturing of Ni-based Coating using ANN -- Decision Model for Cost Control of Transmission and Transformation Projects Considering Uncertainty: a GAN Algorithm -- Optimization Model of Construction Period in Special Construction Scenarios of Power Transmission and Transformation Project Based on Back Propagation Neural Network -- Vision-Based Human Activity Recognition Using CNN & LSTM Architecture -- ML Based Rupture Strength Assessment in Cementitious Materials -- Investigation of Power Consumption of Refrigeration Model and its Exploratory Data Analysis (EDA) by using Machine Learning (ML) Algorithm -- Prediction of Emission Characteristics of Spark Ignition Engines with Premium Level Gasoline-Ethanol-Alkane Blends using Machine Learning -- Depression Detection Using Distribution of Microstructures from Actigraph Information -- ELECTRA: A Comprehensive Ecosystem for Electric Vehicles and Intelligent Transportation using YOLO -- Application of Recurrent Neural Network in Natural Language Processing, AI Content Detection and Time Series Data Analysis -- Story Generation using GAN, RNN & LSTM -- Analysis of Effectiveness of Indian Political Campaigns on Twitter -- Voice Enabled Form Filling Using Hidden Markov Models -- Bayesian Network Model based Classifiers are used in an Intelligent E-learning System -- Where You Think Stock Takes with the Linear Regression Model -- Analysis of Parent with Fine Tuned Large Language Model -- AI Content Detection -- Developing an Efficient Toxic Comment Detector using Machine Learning Techniques -- Handwritten English Alphabets Recognition System -- Stock Price Prediction using Time Series -- Multi-Featured Speech Emotion Recognition Using Extended Convolutional Neural Network -- Large Language Models for Search Engine Optimization in E-commerce -- Handwritten Equation Solver: A Game-Changer in Mathematical Problem Solving -- Unveiling the Next Frontier of AI Advancement -- Advancing Image Classification through Self-Teachable Machine Models and Transfer Learning -- Analysis Effect of K Values Used in K-Fold Cross Validation for Enhancing Performance of Machine Learning Model with Decision Tree -- The Forward-Forward Algorithm: Analysis and Discussion -- Texture Feature Extraction Using Local Optimal Oriented Pattern (LOOP) -- Feature Fusion and Early Prediction of Mental health using Hybrid Squeeze-MobileNet -- Exploring the Usability of Quantum Machine Learning for EEG Signal Classification -- Adaptive Coronavirus Mask Protection Algorithm Enabled Deep Learning for Brain Tumor Detection and Classification -- Enhancing Hex Strategy: AI Based Two-Distance Pruning Approach with Pattern-Enhanced Alpha-Beta Search -- IRBM: Incremental Restricted Boltzmann Machines for Concept Drift Detection and Adaption in Evolving Data Streams -- Revisiting Class Imbalance: A Generalized Notion for Oversampling -- Unveiling Efficiency: Loan Application Process Optimization Using PM4Py Tool. |
| Record Nr. | UNINA-9910845487403321 |
Garg Deepak
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced Computing [[electronic resource] ] : 13th International Conference, IACC 2023, Kolhapur, India, December 15–16, 2023, Revised Selected Papers, Part II / / edited by Deepak Garg, Joel J. P. C. Rodrigues, Suneet Kumar Gupta, Xiaochun Cheng, Pushpender Sarao, Govind Singh Patel
| Advanced Computing [[electronic resource] ] : 13th International Conference, IACC 2023, Kolhapur, India, December 15–16, 2023, Revised Selected Papers, Part II / / edited by Deepak Garg, Joel J. P. C. Rodrigues, Suneet Kumar Gupta, Xiaochun Cheng, Pushpender Sarao, Govind Singh Patel |
| Autore | Garg Deepak |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (445 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
RodriguesJoel J. P. C
GuptaSuneet Kumar ChengXiaochun SaraoPushpender PatelGovind Singh |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Computer engineering Computer networks Application software Education - Data processing Image processing - Digital techniques Computer vision Artificial Intelligence Computer Engineering and Networks Computer and Information Systems Applications Computers and Education Computer Imaging, Vision, Pattern Recognition and Graphics |
| ISBN | 3-031-56703-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Agricultural Resilience and Disaster Management for Sustainable Harvest -- Plant Disease Recognition using Machine Learning and Deep Learning Classifiers -- Securing Lives and Assets: IoT-Based Earthquake and Fire Detection for Real-Time Monitoring and Safety -- An Early Detection of Fall Using Knowledge Distillation Ensemble Prediction Using Classification -- Deep Learning Methods for Precise Sugarcane Disease Detection and Sustainable Crop Management -- An Interactive Interface for Plant Disease Prediction and Remedy Recommendation -- Tilapia Fish Freshness Detection using CNN Models -- Chilli Leaf Disease Detection using Deep Learning -- Damage Evaluation Following Natural Disasters Using Deep Learning -- Total Electron Content Forecasting in Low Latitude Regions of India: Machine & Deep Learning Synergy -- Disease and Abnormalities Detection using ML and IOT -- Early Phase Detection of Diabetes Mellitus Using Machine Learning -- Diabetes Risk Prediction through Fine-Tuned Gradient Boosting -- Early Detection of Diabetes using ML-based Classification Algorithms -- Prediction Of Abnormality Using IoT and Machine Learning -- Detection of Cardiovascular Diseases using Machine Learning Approach -- Mild Cognitive Impairment Diagnosis Using Neuropsychological Tests and Agile Machine Learning -- Heart Disease Diagnosis using Machine Learning Classifiers -- Comparative Evaluation of Feature Extraction Techniques in Chest X Ray Image with Different Classification Model -- Application of Deep Learning in Healthcare -- Transfer Learning Approach for Differentiating Parkinson’s Syndromes using Voice Recordings -- Detection of Brain Tumor Type Based on FANET Segmentation and Hybrid Squeeze Excitation Network with KNN -- Mental Health Analysis using Rasa and Bert: Mindful -- Kidney Failure Identification using Augment Intelligence and IOT Based on Integrated Healthcare System -- Efficient Characterization of Cough Sounds Using Statistical Analysis -- An Efficient Method for Heart Failure Diagnosis -- Novel Machine Learning Algorithms for Predicting COVID-19 Clinical Outcomes with Gender Analysis -- A Genetic Algorithm-Enhanced Deep Neural Network for Efficient and Optimized Brain Tumor Detection -- Diabetes Prediction using Ensemble Learning -- Cancer Detection Using AI -- A Predictive Deep Learning Ensemble Based Approach for Advanced Cancer Classification -- Predictive Deep Learning: An Analysis of Inception V3, VGG16, and VGG19 Models for Breast Cancer Detection -- Innovation in the Field of Oncology: Early Lung Cancer Detection and Classification using AI -- Colon Cancer Nuclei Classification with Convolutional Neural Networks -- Genetic Algorithm-based Optimization of UNet for Breast Cancer Classification: A Lightweight and Efficient approach for IoT Devices -- Classification of Colorectal Cancer Tissue Utilizing Machine Learning Algorithms -- Prediction of Breast Cancer using Machine Learning Technique. |
| Record Nr. | UNINA-9910845499703321 |
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Garg Deepak
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Removing radium from water by plain and treated activated alumina [[electronic resource] /] / Deepak Garg and Dennis Clifford
| Removing radium from water by plain and treated activated alumina [[electronic resource] /] / Deepak Garg and Dennis Clifford |
| Autore | Garg Deepak |
| Pubbl/distr/stampa | Cincinnati, OH : , : U.S. Environmental Protection Agency, Research and Development, , [1992] |
| Descrizione fisica | 1 online resource (7 pages) : illustrations |
| Altri autori (Persone) | CliffordDennis A |
| Soggetto topico |
Radium
Water - Purification Radioactive pollution of water Aluminum oxide |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Project summary |
| Record Nr. | UNINA-9910702472903321 |
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Garg Deepak
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| Cincinnati, OH : , : U.S. Environmental Protection Agency, Research and Development, , [1992] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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