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Advanced Communication and Intelligent Systems : First International Conference, ICACIS 2022, Virtual Event, October 20-21, 2022, Revised Selected Papers / / Rabindra Nath Shaw, Marcin Paprzycki, and Ankush Ghosh (editors)
| Advanced Communication and Intelligent Systems : First International Conference, ICACIS 2022, Virtual Event, October 20-21, 2022, Revised Selected Papers / / Rabindra Nath Shaw, Marcin Paprzycki, and Ankush Ghosh (editors) |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer Nature Switzerland AG, , [2023] |
| Descrizione fisica | 1 online resource (810 pages) |
| Disciplina | 006.3 |
| Collana | Communications in Computer and Information Science Series |
| Soggetto topico |
Artificial intelligence
Communication |
| ISBN | 3-031-25088-5 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Towards 6G-enabled Edge-Cloud Continuum Computing – Initial Assessment -- Experiments with Big Semi-Structured Data Analytics for Digital Marketing -- Stratification of White Blood Cells using Optimized DenseNet201 Model -- "Generating Functions and Approximations of the Caputo Fractional Derivative I" -- Real-time 3D Reconstruction for Mixed Reality Telepresence using Multiple Depth Sensors -- A Robust Data Hiding Scheme Using Singular Value Decomposition and Wavelet Transform -- Simulation Experiments of a Distributed Fault Containment Algorithm Using Randomized Scheduler -- NOVEL COMPUTER VISION APPROACH FOR SCALE-SPECIFIC GENERATIVE STICK FIGURE AS SYNTHETIC TRIBAL ART WORKS -- Facial emotion recognition based on Textural pattern and Histogram of Oriented Gradient -- Fruit-Net: Fruits recognition system using Convolutional Neural Network -- PREDICTION OF GLAUCOMA USING DEEP LEARNING BASED APPROACHES -- Detection of Parkinson’s Disease through Telemonitoring and Machine Learning Classifiers -- Implementation of smart contract using Ethereum Blockchain -- Prediction of Compressive strength of Geopolymer Concrete by using Random Forest Algorithm -- Cardiovascular Disease Prognosis & Analysis using Machine Learning Techniques -- Cardiac disease detection using IoT-enabled ECG Sensors and Deep Learning Approach -- Critical Evaluation of SIMON and SPECK BLOCK Cipher for different modes of operation -- An Analysis on the Methods for Water Quality Prediction from Satellite Images and Camera Images -- Energy efficient Routing in wireless sensor network for Moving nodes using Moth Flame Algorithm compared with vector based Routing -- Augmented Reality Using Gesture and Speech Accelerates User Interaction -- Survey and Performance Evaluation of Clustering and cooperative Medium Access protocols for Vehicular Networks -- Improve CNN model Agro-Crop Leaf Disease Identification based on Transfer Learning -- Per User based Multi Threshold Scheduling for BER Improvement compared to Priority Scheduling in MU-MIMO Networks -- Cervical Cancerous Cell Detection using Enhanced Classification and Embedded Deep Learning Method -- Hybridization of AES and RSA algorithm in File Encryption using Parallel Computing -- Lightweight Trust Aware Hybrid Key Management Scheme for WSN to Reduce the Energy Consumption in Comparison with TERP and LTB- AODV -- A comparative analysis of SIW Bandpass filters loaded with different shapes of DGS-DMS for satellite communication -- Efficient Energy Consumption Model for clusters in Wireless Sensor Network -- Emotion Identification from Tamil Song Lyrics using Machine Learning Algorithms -- AI Based Interactive System-HOMIE -- Factors Influencing Security Issues in Cloud Computing -- Code-Based Cryptography: A Comparative Study of Key Sizes -- Advance Collision Prevention System -- Energy Efficient Routing in Underwater Acoustic Sensor Network Using CROW Optimization Algorithm over AODV -- Sign language recognizing using Machine Learning -- A review of Clustering Techniques on Image segmentation for reconstruction of buildings -- Deep Neural Networks for Wild Fire Detection and Monitoring with UAV -- PDR Improvements using Per User based Multi Threshold Scheduling compared to Priority Scheduling for MU-MIMO Networks -- Framework for Land Registry System Using Ethereum Blockchain -- A Comprehensive Study of Plant Disease Detection Using Deep Learning Methods -- APPLICATION OF A NOVEL DEEP LEARNING MODEL TO RECOGNIZE AND PREDICT KIDNEY DISEASE IN THE CONTEXT OF IMAGE PROCESSING -- Classification of adulterated food grain thermal images using Convolutional Neural Networks -- Distributed Hotel chain using Blockchain and Chainlink -- ACCURATE RATING SYSTEM USING BLOCKCHAIN -- Approaches to overcome human limitations by an Intelligent Autonomous system with a level of consciousness in reasoning, decision making and problem-solving capabilities -- BBACTFM (Blockchain Based Accurate Contact Tracing Framework Model) for Tourism Industry -- RANDOMIZED ACTIVE LEARNING TO IDENTIFY PHISHING URL -- Data Analysis on ERP System of Easy-Payment Services -- "SELF-DRIVING CAR: LANE DETECTION AND COLLISION PREVENTION SYSTEM" -- A novel machine learning classification model to analyze the COVID-19 pandemic’s impact on academics: Sentiment Analysis Approach -- Implementation of Optimal Leaf Feature Selection-based Plant Leaf Disease Classification Framework with RNN+GRU Technique -- Smart Lysimeter with Artificial Lighting and Plant Monitoring System -- Automatic Detection and Monitoring of Hate Speech in Online Multi-Social Media -- Energy Efficient Routing in Wireless Sensor Network for Moving Nodes using Genetic Algorithm Compared with PSO -- "Prediction of Compressive strength of Green Concrete by Artificial Neural Network" -- Early-Stage Dementia Detection by Optimize Feature Weights with Ensemble Learning -- IoT Enabled An Efficient Vehicle Parking System -- RECOMMENDATION SYSTEMS FOR A GROUP OF USERS WHICH RECOMMEND RECENT ATTENTION: Using Hybrid Recommendation Model -- Face mask detection and recognition with high accuracy on live streaming video using with improved YOLO V4 and comparing with Deep Learning Method -- SMART CITIES: P2P Energy Trading Using Blockchain -- A Predictive Energy Saving Technique for 5G Network Base Stations -- Cursor Motion Control using Eye Tracking and Computer Vision -- An IoT-Based Control System to Measure, Analyze, and Track Basic Vital Indicators in Patient Healthcare Monitoring System -- A Comprehensive Review on Skin Disease Classification Using Convolutional Neural Network and Support Vector Machine -- OPTIMIZATION OF ROUTING PROTOCOL FOR UNDERWATER ACOUSTIC SENSOR NETWORK USING MODIFIED LION ALGORITHM OVER DPSO -- COVID-19 Detection in the Images of Chest CT Scan using K-NN in Comparison with NB Classifier to Improve the Accuracy -- Deep learning based dynamic object addition to video instances for creating synthetic data -- Improved Accuracy in Speech Recognition System for Detection of Covid-19 using K Nearest Neighbour and Comparing with Artificial Neural Network -- Role of Artificial Intelligence in the screening of neoplastic oral lesions. |
| Record Nr. | UNINA-9910672450503321 |
| Cham, Switzerland : , : Springer Nature Switzerland AG, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advanced Communication and Intelligent Systems : First International Conference, ICACIS 2022, Virtual Event, October 20-21, 2022, Revised Selected Papers / / Rabindra Nath Shaw, Marcin Paprzycki, and Ankush Ghosh (editors)
| Advanced Communication and Intelligent Systems : First International Conference, ICACIS 2022, Virtual Event, October 20-21, 2022, Revised Selected Papers / / Rabindra Nath Shaw, Marcin Paprzycki, and Ankush Ghosh (editors) |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer Nature Switzerland AG, , [2023] |
| Descrizione fisica | 1 online resource (810 pages) |
| Disciplina | 006.3 |
| Collana | Communications in Computer and Information Science Series |
| Soggetto topico |
Artificial intelligence
Communication |
| ISBN | 3-031-25088-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Towards 6G-enabled Edge-Cloud Continuum Computing – Initial Assessment -- Experiments with Big Semi-Structured Data Analytics for Digital Marketing -- Stratification of White Blood Cells using Optimized DenseNet201 Model -- "Generating Functions and Approximations of the Caputo Fractional Derivative I" -- Real-time 3D Reconstruction for Mixed Reality Telepresence using Multiple Depth Sensors -- A Robust Data Hiding Scheme Using Singular Value Decomposition and Wavelet Transform -- Simulation Experiments of a Distributed Fault Containment Algorithm Using Randomized Scheduler -- NOVEL COMPUTER VISION APPROACH FOR SCALE-SPECIFIC GENERATIVE STICK FIGURE AS SYNTHETIC TRIBAL ART WORKS -- Facial emotion recognition based on Textural pattern and Histogram of Oriented Gradient -- Fruit-Net: Fruits recognition system using Convolutional Neural Network -- PREDICTION OF GLAUCOMA USING DEEP LEARNING BASED APPROACHES -- Detection of Parkinson’s Disease through Telemonitoring and Machine Learning Classifiers -- Implementation of smart contract using Ethereum Blockchain -- Prediction of Compressive strength of Geopolymer Concrete by using Random Forest Algorithm -- Cardiovascular Disease Prognosis & Analysis using Machine Learning Techniques -- Cardiac disease detection using IoT-enabled ECG Sensors and Deep Learning Approach -- Critical Evaluation of SIMON and SPECK BLOCK Cipher for different modes of operation -- An Analysis on the Methods for Water Quality Prediction from Satellite Images and Camera Images -- Energy efficient Routing in wireless sensor network for Moving nodes using Moth Flame Algorithm compared with vector based Routing -- Augmented Reality Using Gesture and Speech Accelerates User Interaction -- Survey and Performance Evaluation of Clustering and cooperative Medium Access protocols for Vehicular Networks -- Improve CNN model Agro-Crop Leaf Disease Identification based on Transfer Learning -- Per User based Multi Threshold Scheduling for BER Improvement compared to Priority Scheduling in MU-MIMO Networks -- Cervical Cancerous Cell Detection using Enhanced Classification and Embedded Deep Learning Method -- Hybridization of AES and RSA algorithm in File Encryption using Parallel Computing -- Lightweight Trust Aware Hybrid Key Management Scheme for WSN to Reduce the Energy Consumption in Comparison with TERP and LTB- AODV -- A comparative analysis of SIW Bandpass filters loaded with different shapes of DGS-DMS for satellite communication -- Efficient Energy Consumption Model for clusters in Wireless Sensor Network -- Emotion Identification from Tamil Song Lyrics using Machine Learning Algorithms -- AI Based Interactive System-HOMIE -- Factors Influencing Security Issues in Cloud Computing -- Code-Based Cryptography: A Comparative Study of Key Sizes -- Advance Collision Prevention System -- Energy Efficient Routing in Underwater Acoustic Sensor Network Using CROW Optimization Algorithm over AODV -- Sign language recognizing using Machine Learning -- A review of Clustering Techniques on Image segmentation for reconstruction of buildings -- Deep Neural Networks for Wild Fire Detection and Monitoring with UAV -- PDR Improvements using Per User based Multi Threshold Scheduling compared to Priority Scheduling for MU-MIMO Networks -- Framework for Land Registry System Using Ethereum Blockchain -- A Comprehensive Study of Plant Disease Detection Using Deep Learning Methods -- APPLICATION OF A NOVEL DEEP LEARNING MODEL TO RECOGNIZE AND PREDICT KIDNEY DISEASE IN THE CONTEXT OF IMAGE PROCESSING -- Classification of adulterated food grain thermal images using Convolutional Neural Networks -- Distributed Hotel chain using Blockchain and Chainlink -- ACCURATE RATING SYSTEM USING BLOCKCHAIN -- Approaches to overcome human limitations by an Intelligent Autonomous system with a level of consciousness in reasoning, decision making and problem-solving capabilities -- BBACTFM (Blockchain Based Accurate Contact Tracing Framework Model) for Tourism Industry -- RANDOMIZED ACTIVE LEARNING TO IDENTIFY PHISHING URL -- Data Analysis on ERP System of Easy-Payment Services -- "SELF-DRIVING CAR: LANE DETECTION AND COLLISION PREVENTION SYSTEM" -- A novel machine learning classification model to analyze the COVID-19 pandemic’s impact on academics: Sentiment Analysis Approach -- Implementation of Optimal Leaf Feature Selection-based Plant Leaf Disease Classification Framework with RNN+GRU Technique -- Smart Lysimeter with Artificial Lighting and Plant Monitoring System -- Automatic Detection and Monitoring of Hate Speech in Online Multi-Social Media -- Energy Efficient Routing in Wireless Sensor Network for Moving Nodes using Genetic Algorithm Compared with PSO -- "Prediction of Compressive strength of Green Concrete by Artificial Neural Network" -- Early-Stage Dementia Detection by Optimize Feature Weights with Ensemble Learning -- IoT Enabled An Efficient Vehicle Parking System -- RECOMMENDATION SYSTEMS FOR A GROUP OF USERS WHICH RECOMMEND RECENT ATTENTION: Using Hybrid Recommendation Model -- Face mask detection and recognition with high accuracy on live streaming video using with improved YOLO V4 and comparing with Deep Learning Method -- SMART CITIES: P2P Energy Trading Using Blockchain -- A Predictive Energy Saving Technique for 5G Network Base Stations -- Cursor Motion Control using Eye Tracking and Computer Vision -- An IoT-Based Control System to Measure, Analyze, and Track Basic Vital Indicators in Patient Healthcare Monitoring System -- A Comprehensive Review on Skin Disease Classification Using Convolutional Neural Network and Support Vector Machine -- OPTIMIZATION OF ROUTING PROTOCOL FOR UNDERWATER ACOUSTIC SENSOR NETWORK USING MODIFIED LION ALGORITHM OVER DPSO -- COVID-19 Detection in the Images of Chest CT Scan using K-NN in Comparison with NB Classifier to Improve the Accuracy -- Deep learning based dynamic object addition to video instances for creating synthetic data -- Improved Accuracy in Speech Recognition System for Detection of Covid-19 using K Nearest Neighbour and Comparing with Artificial Neural Network -- Role of Artificial Intelligence in the screening of neoplastic oral lesions. |
| Record Nr. | UNISA-996547965303316 |
| Cham, Switzerland : , : Springer Nature Switzerland AG, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advanced Communication and Intelligent Systems [[electronic resource] ] : Second International Conference, ICACIS 2023, Warsaw, Poland, June 16–17, 2023, Revised Selected Papers, Part II / / edited by Rabindra Nath Shaw, Marcin Paprzycki, Ankush Ghosh
| Advanced Communication and Intelligent Systems [[electronic resource] ] : Second International Conference, ICACIS 2023, Warsaw, Poland, June 16–17, 2023, Revised Selected Papers, Part II / / edited by Rabindra Nath Shaw, Marcin Paprzycki, Ankush Ghosh |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (XVIII, 283 p. 97 illus., 77 illus. in color.) |
| Disciplina | 006 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Image processing - Digital techniques
Computer vision Artificial intelligence Computer engineering Computer networks Data protection Application software Computer Imaging, Vision, Pattern Recognition and Graphics Artificial Intelligence Computer Engineering and Networks Data and Information Security Computer and Information Systems Applications |
| ISBN | 3-031-45124-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Enhanced Prediction of Heart Disease using Machine Learning and Deep Learning -- Machine Learning-Powered Tool for Automated Healthcare Diagnosis -- Development and Evaluation of an Artificial Intelligence-Based System for Pancreatic Cancer Detection and Diagnosis -- Comparative Analysis of Deep Learning Architectures for Garbage Classification -- Developing an Automated System for Pothole Detection and Management using Deep Learning -- Robust Neurodegenerative Disease Detection Using Machine Learning Algorithms -- Real-Time Drowsiness Detection System Using Machine Learning -- Hate Speech Detection in Multi-Social Media Using Deep Learning -- Collating Weather Data and Grocery Cost using Machine Learning Techniques -- Breast Cancer Detection by using Decision Tree -- Integrating Scene and Text Recognition for Improved Scene Caption to assist Visually Impaired -- Sugarcane Leaf Disease Classification using Deep Learning -- An Analysis of Current Advancements: Elderly Fall Detection Systems Using Machine Learning Techniques -- DLMEKL: Design of an efficient Deep Learning Model for analyzing the effect of ECG & EEG disturbances on Kidney, Lungs and Liver functions -- A Comprehensive Review of the Latest Advancements in Large Generative AI Models -- Integration of IoT and Industry 4.0: Revolutionizing Industrial Processes -- Artificial Intelligence based Optimized Traffic Diversion System in Smart Cities -- Cloud Computing Enabled Autonomous Forest Fire Surveillance System Using Internet-of-Things -- Understanding Career Trajectories of IT professionals -A Machine Learning Approach -- RECOGNITION OF VARITIES OF RICE USING DEEP LEARNING TECHNOLOGIES -- Optimizing Pneumonia Diagnosis through Local Binary Pattern and 2D-Wavelet Transform Based Feature Extraction and Classification -- Recognition of Infant Footprint: A Review of Advanced Techniques -- Method Comparison for Predicting Student Retention at a Private School in Indonesia -- Distribution and Semantics of Terms with the Component ‘White’ in the Bulgarian Language: a Statistical Approach -- Sanskrit OCR System -- Information Technology and Fintech Innovation and its effect on Indian Financial Services -- Application of Neural Networks and Genetic Algorithms in establishing Logical Rules for evaluating the edibility of Mushroom Data -- A Review on Machine Learning based Security in Edge Computing Environment -- Multiple linear regression based analysis of weather data : Assumptions and Limitations -- Ransomware Taxonomy and Detection Techniques Based on Machine Learning: A Review -- Analysis And Design of Document Similarity Using BiLSTM and BERT -- Customer Churn Analysis for Live Stream E-Commerce Platforms by Using Decision Tree Method -- Estimation of Reliability, BER, BLER and throughput during the coexistence of 4G LTE and 5G NR -- Sentiment Analysis of user-generated data using CNN-BiLSTM model -- Performance of Bayesian Networks Classification Models for Tuberculosis Patient Outcome Prediction with Imbalanced Dataset -- Exploring the Future of Edge Computing: Advantages, Limitations, and Opportunities -- Development of Facial Emotion Recognition System using Unimodal and Multimodal approach -- Fake Product Review Detection Using Machine Learning -- A survey on Designing Efficient WSN using Duty Cycle optimization -- A Novel Framework for Harnessing AI for Evidence-Based Policymaking in E-Governance Using Smart Contracts -- Vehicular Ad-hoc Networks: A Review on Applications & Security -- An Approach for Efficient Experts Selection in Team Formation Problems -- Cybersecurity Model for Mobile and Web Application Banking Sectors. |
| Record Nr. | UNISA-996558569803316 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advanced Communication and Intelligent Systems [[electronic resource] ] : Second International Conference, ICACIS 2023, Warsaw, Poland, June 16–17, 2023, Revised Selected Papers, Part I / / edited by Rabindra Nath Shaw, Marcin Paprzycki, Ankush Ghosh
| Advanced Communication and Intelligent Systems [[electronic resource] ] : Second International Conference, ICACIS 2023, Warsaw, Poland, June 16–17, 2023, Revised Selected Papers, Part I / / edited by Rabindra Nath Shaw, Marcin Paprzycki, Ankush Ghosh |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (287 pages) |
| Disciplina | 006.3 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Image processing - Digital techniques
Computer vision Artificial intelligence Computer engineering Computer networks Data protection Application software Computer Imaging, Vision, Pattern Recognition and Graphics Artificial Intelligence Computer Engineering and Networks Data and Information Security Computer and Information Systems Applications |
| ISBN | 3-031-45121-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Comparative Analysis of Deep Learning Architectures for Garbage Classification -- Developing an Automated System for Pothole Detection and Management using Deep Learning -- Collating Weather Data and Grocery Cost using Machine Learning Techniques -- Integrating Scene and Text Recognition for Improved Scene Caption to assist Visually Impaired -- An Analysis of Current Advancements: Elderly Fall Detection Systems Using Machine Learning Techniques -- DLMEKL: Design of an efficient Deep Learning Model for analyzing the effect of ECG & EEG disturbances on Kidney, Lungs and Liver functions -- Integration of IoT and Industry 4.0: Revolutionizing Industrial Processes -- Artificial Intelligence based Optimized Traffic Diversion System in Smart Cities -- Understanding Career Trajectories of IT professionals -A Machine Learning Approach -- A Review on Machine Learning based Security in Edge Computing Environment -- Ransomware Taxonomy and Detection Techniques Based on Machine Learning: A Review -- Analysis And Design of Document Similarity Using BiLSTM and BERT -- Customer Churn Analysis for Live Stream E-Commerce Platforms by Using Decision Tree Method -- Estimation of Reliability, BER, BLER and throughput during the coexistence of 4G LTE and 5G NR -- Exploring the Future of Edge Computing: Advantages, Limitations, and Opportunities -- Fake Product Review Detection Using Machine Learning -- A survey on Designing Efficient WSN using Duty Cycle optimization -- A Novel Framework for Harnessing AI for Evidence-Based Policymaking in E-Governance Using Smart Contracts -- Vehicular Ad-hoc Networks: A Review on Applications & Security -- An Approach for Efficient Experts Selection in Team Formation Problems -- Cybersecurity Model for Mobile and Web Application Banking Sectors. |
| Record Nr. | UNISA-996558569703316 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advanced Communication and Intelligent Systems [[electronic resource] ] : Second International Conference, ICACIS 2023, Warsaw, Poland, June 16–17, 2023, Revised Selected Papers, Part II / / edited by Rabindra Nath Shaw, Marcin Paprzycki, Ankush Ghosh
| Advanced Communication and Intelligent Systems [[electronic resource] ] : Second International Conference, ICACIS 2023, Warsaw, Poland, June 16–17, 2023, Revised Selected Papers, Part II / / edited by Rabindra Nath Shaw, Marcin Paprzycki, Ankush Ghosh |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (XVIII, 283 p. 97 illus., 77 illus. in color.) |
| Disciplina | 006 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Image processing - Digital techniques
Computer vision Artificial intelligence Computer engineering Computer networks Data protection Application software Computer Imaging, Vision, Pattern Recognition and Graphics Artificial Intelligence Computer Engineering and Networks Data and Information Security Computer and Information Systems Applications |
| ISBN | 3-031-45124-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Enhanced Prediction of Heart Disease using Machine Learning and Deep Learning -- Machine Learning-Powered Tool for Automated Healthcare Diagnosis -- Development and Evaluation of an Artificial Intelligence-Based System for Pancreatic Cancer Detection and Diagnosis -- Comparative Analysis of Deep Learning Architectures for Garbage Classification -- Developing an Automated System for Pothole Detection and Management using Deep Learning -- Robust Neurodegenerative Disease Detection Using Machine Learning Algorithms -- Real-Time Drowsiness Detection System Using Machine Learning -- Hate Speech Detection in Multi-Social Media Using Deep Learning -- Collating Weather Data and Grocery Cost using Machine Learning Techniques -- Breast Cancer Detection by using Decision Tree -- Integrating Scene and Text Recognition for Improved Scene Caption to assist Visually Impaired -- Sugarcane Leaf Disease Classification using Deep Learning -- An Analysis of Current Advancements: Elderly Fall Detection Systems Using Machine Learning Techniques -- DLMEKL: Design of an efficient Deep Learning Model for analyzing the effect of ECG & EEG disturbances on Kidney, Lungs and Liver functions -- A Comprehensive Review of the Latest Advancements in Large Generative AI Models -- Integration of IoT and Industry 4.0: Revolutionizing Industrial Processes -- Artificial Intelligence based Optimized Traffic Diversion System in Smart Cities -- Cloud Computing Enabled Autonomous Forest Fire Surveillance System Using Internet-of-Things -- Understanding Career Trajectories of IT professionals -A Machine Learning Approach -- RECOGNITION OF VARITIES OF RICE USING DEEP LEARNING TECHNOLOGIES -- Optimizing Pneumonia Diagnosis through Local Binary Pattern and 2D-Wavelet Transform Based Feature Extraction and Classification -- Recognition of Infant Footprint: A Review of Advanced Techniques -- Method Comparison for Predicting Student Retention at a Private School in Indonesia -- Distribution and Semantics of Terms with the Component ‘White’ in the Bulgarian Language: a Statistical Approach -- Sanskrit OCR System -- Information Technology and Fintech Innovation and its effect on Indian Financial Services -- Application of Neural Networks and Genetic Algorithms in establishing Logical Rules for evaluating the edibility of Mushroom Data -- A Review on Machine Learning based Security in Edge Computing Environment -- Multiple linear regression based analysis of weather data : Assumptions and Limitations -- Ransomware Taxonomy and Detection Techniques Based on Machine Learning: A Review -- Analysis And Design of Document Similarity Using BiLSTM and BERT -- Customer Churn Analysis for Live Stream E-Commerce Platforms by Using Decision Tree Method -- Estimation of Reliability, BER, BLER and throughput during the coexistence of 4G LTE and 5G NR -- Sentiment Analysis of user-generated data using CNN-BiLSTM model -- Performance of Bayesian Networks Classification Models for Tuberculosis Patient Outcome Prediction with Imbalanced Dataset -- Exploring the Future of Edge Computing: Advantages, Limitations, and Opportunities -- Development of Facial Emotion Recognition System using Unimodal and Multimodal approach -- Fake Product Review Detection Using Machine Learning -- A survey on Designing Efficient WSN using Duty Cycle optimization -- A Novel Framework for Harnessing AI for Evidence-Based Policymaking in E-Governance Using Smart Contracts -- Vehicular Ad-hoc Networks: A Review on Applications & Security -- An Approach for Efficient Experts Selection in Team Formation Problems -- Cybersecurity Model for Mobile and Web Application Banking Sectors. |
| Record Nr. | UNINA-9910747592103321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advanced Communication and Intelligent Systems [[electronic resource] ] : Second International Conference, ICACIS 2023, Warsaw, Poland, June 16–17, 2023, Revised Selected Papers, Part I / / edited by Rabindra Nath Shaw, Marcin Paprzycki, Ankush Ghosh
| Advanced Communication and Intelligent Systems [[electronic resource] ] : Second International Conference, ICACIS 2023, Warsaw, Poland, June 16–17, 2023, Revised Selected Papers, Part I / / edited by Rabindra Nath Shaw, Marcin Paprzycki, Ankush Ghosh |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (287 pages) |
| Disciplina | 006.3 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Image processing - Digital techniques
Computer vision Artificial intelligence Computer engineering Computer networks Data protection Application software Computer Imaging, Vision, Pattern Recognition and Graphics Artificial Intelligence Computer Engineering and Networks Data and Information Security Computer and Information Systems Applications |
| ISBN | 3-031-45121-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Comparative Analysis of Deep Learning Architectures for Garbage Classification -- Developing an Automated System for Pothole Detection and Management using Deep Learning -- Collating Weather Data and Grocery Cost using Machine Learning Techniques -- Integrating Scene and Text Recognition for Improved Scene Caption to assist Visually Impaired -- An Analysis of Current Advancements: Elderly Fall Detection Systems Using Machine Learning Techniques -- DLMEKL: Design of an efficient Deep Learning Model for analyzing the effect of ECG & EEG disturbances on Kidney, Lungs and Liver functions -- Integration of IoT and Industry 4.0: Revolutionizing Industrial Processes -- Artificial Intelligence based Optimized Traffic Diversion System in Smart Cities -- Understanding Career Trajectories of IT professionals -A Machine Learning Approach -- A Review on Machine Learning based Security in Edge Computing Environment -- Ransomware Taxonomy and Detection Techniques Based on Machine Learning: A Review -- Analysis And Design of Document Similarity Using BiLSTM and BERT -- Customer Churn Analysis for Live Stream E-Commerce Platforms by Using Decision Tree Method -- Estimation of Reliability, BER, BLER and throughput during the coexistence of 4G LTE and 5G NR -- Exploring the Future of Edge Computing: Advantages, Limitations, and Opportunities -- Fake Product Review Detection Using Machine Learning -- A survey on Designing Efficient WSN using Duty Cycle optimization -- A Novel Framework for Harnessing AI for Evidence-Based Policymaking in E-Governance Using Smart Contracts -- Vehicular Ad-hoc Networks: A Review on Applications & Security -- An Approach for Efficient Experts Selection in Team Formation Problems -- Cybersecurity Model for Mobile and Web Application Banking Sectors. |
| Record Nr. | UNINA-9910747594103321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advanced Computing and Intelligent Technologies : Proceedings of ICACIT 2023
| Advanced Computing and Intelligent Technologies : Proceedings of ICACIT 2023 |
| Autore | Shaw Rabindra Nath |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore Pte. Limited, , 2024 |
| Descrizione fisica | 1 online resource (649 pages) |
| Altri autori (Persone) |
DasSanjoy
PaprzyckiMarcin GhoshAnkush BianchiniMonica |
| Collana | Lecture Notes in Networks and Systems Series |
| ISBN | 981-9719-61-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- Editors and Contributors -- Development of CNN-Based Feature Extraction and Multi-layer Perceptron for Eye Disease Detection -- 1 Introduction -- 2 Existing Works -- 2.1 Related Works -- 2.2 Research Gaps and Challenges -- 3 Methodology of Multiple Eye Disease Detection Technique -- 3.1 Proposed Detection System for Multiple Eye Disorder -- 3.2 Details of Eye Image Collection -- 4 Feature Extraction and Multi-layer Perceptron Model for Multiple Eye Disease Detection -- 4.1 CNN-Based Feature Extraction -- 4.2 Multi-layer Perceptron for Classification -- 5 Result and Discussions -- 6 Conclusion -- References -- Optimal Relay Node Selection Using Machine Learning to Extend Coverage in Disaster Area Network -- 1 Introduction -- 2 Related Work -- 3 System Model -- 3.1 Network Architecture -- 3.2 Optimal Relay Node Selection Using Machine Learning Algorithm -- 3.3 Network Performance of the Proposed Model -- 3.4 Outage Probability Analysis -- 4 Result -- 5 Conclusion -- References -- A Structured Literature Review and Meta-analysis of Forecasting Methods for Energy Consumption in Smart Buildings -- 1 Introduction -- 2 Methodology -- 3 Energy Consumption in Smart Buildings -- 3.1 Need of Energy Consumption Forecasting in Smart Buildings -- 3.2 Energy Forecasting Methods -- 4 Black-Box Methods -- 5 White-Box Methods -- 6 Grey-Box Methods -- 7 Input Parameters -- 8 Prediction Intervals -- 9 Measures of Performance Analysis -- 10 Results and Discussion -- 11 Future Challenges -- 12 Conclusion -- References -- Document Summarization Leveraging Modified LexRank Algorithm -- 1 Introduction -- 1.1 Related Work -- 1.2 Contributions -- 2 Methodology -- 3 Case Studies and Results -- 4 Conclusion -- References -- A Blockchain-Based Approach to Improve Data Integrity in Federated Cloud Environment -- 1 Introduction.
1.1 Federated Cloud Environments -- 1.2 Benefits of Cloud Federations -- 1.3 Data Integrity Challenges -- 1.4 Blockchain Overview -- 1.5 Blockchain Architecture -- 2 Literature Survey -- 2.1 Related Work -- 2.2 Comparative Study -- 3 Proposed Framework -- 3.1 Layer 1: Utilizing Permissioned Blockchain for Operation Tracking -- 3.2 Layer 2: Ensuring Integrity of Individual Data Items: -- 3.3 Elasticsearch -- 4 Strengths of the Proposed Framework -- 4.1 Enhanced Data Integrity -- 4.2 Efficient Consensus Mechanism -- 4.3 Mitigation of Side-Channel Attacks -- 4.4 Improved Leadership Selection -- 4.5 Robust Log Storage -- 4.6 Enhanced Security -- 4.7 Greater Transparency -- 4.8 Instant Traceability -- 5 Conclusion -- References -- Performance Analysis of Hybrid Cryptographic Algorithms in Serverless Platforms -- 1 Introduction -- 2 Background -- 2.1 Fernet Algorithm -- 2.2 RSA Algorithm -- 2.3 Triple DES Algorithm -- 3 Related Work -- 4 Proposed Hybrid Approach -- 4.1 Two-Tier Model -- 4.2 Three-Tier Model -- 5 Performance Analysis -- 5.1 Comparison with 3DES + RSA Model -- 6 Conclusion -- References -- Intensifying Cross Architecture Cyber-Resilience System with Descriptive Malware Analysis -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 3.1 Dataset -- 3.2 Concept Used -- 3.3 Proposed Method -- 4 Result -- 5 Conclusion -- 6 Future Scope -- References -- Challenges and Solutions in Integrating Narrowband IoT with Edge Computing: Resource Constraints, Security, Latency, and IDS Deployment -- 1 Introduction -- 1.1 Background -- 1.2 Objectives of the Study -- 1.3 Scope and Limitations -- 2 Literature Review -- 2.1 Previous Work on IoT and Edge Computing -- 2.2 Identified Areas Requiring Improvement -- 3 Methodology -- 3.1 Data Collection -- 3.2 Data Analysis Resource Constraints -- 4 Steps Used to Study the Dataset -- 5 Data Analysis. 5.1 Phase 1: Data Acquisition -- 5.2 Phase 2: Data Preprocessing -- 5.3 Phase 3: Exploratory Data Analysis (EDA) -- 5.4 Phase 4: Data Analysis -- 6 Conclusion -- 7 Areas for Further Research -- References -- An Automatic Brick Grading System Using Convolutional Neural Network: Bangladesh Perspective -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Data Collection -- 3.2 Data Preprocessing -- 3.3 Splitting Data -- 3.4 Training -- 3.5 Evaluate Model -- 4 Experiment -- 4.1 Data Collection -- 4.2 Data Prepossessing -- 4.3 Libraries -- 4.4 Early Stopping -- 4.5 Convolutional Neural Network -- 4.6 Adam Optimizer -- 4.7 Hyperparameters -- 4.8 Training -- 4.9 Testing -- 5 Result and Discussion -- 5.1 Experimental Result -- 5.2 Evaluation Matrix -- 5.3 Training and Validation Loss -- 5.4 Training and Validation Accuracy -- 5.5 Confusion Matrix -- 5.6 Comparison -- 6 Conclusion -- 6.1 Limitations and Future Work -- References -- Optimization, Modelling and Evaluation of Marshall Stability of Asphaltic Concrete with Agricultural and Industrial Wastes Through Response Surface Method -- 1 Introduction -- 2 Materials and Methods -- 3 Results and Discussion -- 3.1 Evaluation of the Fitted Model Parameters -- 3.2 Interactive Effect of Significant Factors on Marshall Stability -- 4 Conclusion -- References -- A Query-Based Approach to Mitigate the Shortcomings of Widely Used Learning Methods Through E-Learning -- 1 Introduction -- 2 Literature Review -- 2.1 Shortcomings of Existing Methods -- 2.2 E-Learning and the Evolution of Technology -- 2.3 The Art of Questioning in Learning -- 2.4 Questions as a Learning Tool -- 2.5 Query-Based Access to Neurons -- 3 Methodology -- 3.1 E-Learning Using QuBAN Method -- 4 Result and Discussion -- 4.1 Effectiveness Across Courses -- 4.2 Effect on Confidence and Motivation -- 4.3 Impact on Questioning Habits. 4.4 Student's Attitude Towards QuBAN -- 5 Conclusion -- References -- Navigating the Waters of Image Watermarking: A Neural Network-Centric Review -- 1 Introduction -- 1.1 Image Watermarking Using Neural Networks -- 1.2 Types of Neural Networks Used in State-of-the-Art Image Watermarking Techniques -- 1.3 Performance Metrics for Different Watermarking Techniques -- 2 Literature Review -- 3 Future Scope -- 4 Conclusion -- References -- Evaluation of Group Chats Using Exploratory Data Analysis -- 1 Introduction -- 2 Literature Work -- 3 Working Methodology -- 3.1 Data Collection -- 3.2 Data Pre-processing -- 3.3 Data Preparation and Cleaning -- 3.4 Analysis and Interpretation of Results -- 3.5 Data Visualization -- 4 Result and Discussion -- 5 Conclusion -- References -- FinTech Revolution in Bharat -- 1 Introduction -- 2 Evolution of FinTech -- 2.1 Pre-digitization Period -- 2.2 Digitization Period -- 2.3 Post-digitization Period -- 3 The India Stack -- 3.1 Identity Layer -- 3.2 Payments Layer -- 3.3 Data Layer -- 4 Financial Inclusion and Solutions -- 4.1 Development and Financial Inclusion -- 4.2 FinTech Solutions -- 5 FinTech Adoption and Investments -- 5.1 Trends Driving FinTech Adoption -- 5.2 FinTech Investments -- 6 Challenges in FinTech -- 6.1 Lack of Trust and Awareness -- 6.2 Formal Credit -- 6.3 Rigorous Regulatory System -- 6.4 Skill-Based Talent Acquisition -- 6.5 Cybersecurity -- 6.6 Global Economics and Recession -- 7 Conclusion -- References -- A Review of 3D Avatar Reconstruction for Virtual Conferencing -- 1 Introduction -- 2 Problem Background -- 3 3D Reconstruction -- 4 3D Avatar -- 4.1 Classification of 3D Avatars -- 4.2 Application of 3D Avatar in Virtual Conference -- 5 3D Avatar Reconstruction -- 5.1 Traditional Reconstruction Pipeline -- 5.2 Reconstruction Based on Deep Learning -- 6 Conclusion -- References. Real-Time Food Simulation Using Real Hand Gesture for Malaysia Cultural Heritage -- 1 Introduction -- 2 Designing Hand Gestures -- 3 Proposed VR Pulut Panggang -- 3.1 Test Application -- 4 Conclusion -- References -- Feature Selection Using Chi-Squared Feature-Class Association Model for Fake Profile Detection in Online Social Networks -- 1 Introduction -- 2 Related Works -- 3 Feature Extraction -- 4 Proposed Chi-Squared Feature-Class Association Model -- 5 Result and Analysis -- 5.1 Dataset and Description -- 5.2 Evaluation Metrics -- 6 Results -- 7 Conclusion -- References -- Classification and Identification of Weeds Using Gradient Boosting Classifiers -- 1 Introduction -- 2 Related Work -- 3 Convolutional Neural Network -- 3.1 Convolutional Layers -- 3.2 Pooling Layers -- 3.3 Global Average Pooling Layer -- 3.4 Fully Connected Layers -- 4 Boosting Algorithms -- 4.1 Gbm -- 4.2 Lgbm -- 4.3 CatBoost -- 4.4 AdaBoost -- 4.5 XGBoost -- 5 Dataset -- 6 Methodology -- 7 Experimental Results -- 7.1 Assessment Metrics -- 8 Results and Discussion -- 8.1 Comparison with Other Studies -- 8.2 Limitations and Complexity of Proposed Model -- 9 Conclusion -- References -- Enhancing Accuracy and Efficiency in Diabetic Retinopathy Detection: A Deep Learning Framework for Fundus Image Analysis -- 1 Introduction -- 2 Methodology of the Proposed System -- 3 Various Machine Learning Algorithm -- 4 Result and Discussion -- 5 Conclusion -- References -- Enhancing Brain MRI Tumor Detection: Exploring Vision Transformers and Fine-Tuned Convolutional Neural Network Architecture for Improved Performance -- 1 Introduction -- 1.1 Convolution Neural Networks -- 1.2 Vision Transformers -- 2 Dataset Analysis -- 3 Methodology -- 3.1 Convolution Neural Networks -- 3.2 Proposed Model (Vision Transformers) -- 4 Experimental Results -- 5 Conclusion -- References. Bitcoin Price Prediction Using Sentiment Analysis. |
| Record Nr. | UNINA-9910865284603321 |
Shaw Rabindra Nath
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| Singapore : , : Springer Singapore Pte. Limited, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Innovations in Electrical and Electronic Engineering [[electronic resource] ] : Proceedings of ICEEE 2023, Volume 1 / / edited by Rabindra Nath Shaw, Pierluigi Siano, Saad Makhilef, Ankush Ghosh, S. L. Shimi
| Innovations in Electrical and Electronic Engineering [[electronic resource] ] : Proceedings of ICEEE 2023, Volume 1 / / edited by Rabindra Nath Shaw, Pierluigi Siano, Saad Makhilef, Ankush Ghosh, S. L. Shimi |
| Autore | Shaw Rabindra Nath |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (652 pages) |
| Disciplina | 621.31 |
| Altri autori (Persone) |
SianoPierluigi
MakhilefSaad GhoshAnkush ShimiS. L |
| Collana | Lecture Notes in Electrical Engineering |
| Soggetto topico |
Electric power production
Telecommunication Control engineering Robotics Automation Artificial intelligence Electrical Power Engineering Microwaves, RF Engineering and Optical Communications Control, Robotics, Automation Artificial Intelligence |
| ISBN | 981-9982-89-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Bidding Strategies for Generation Companies and Large Consumers in Carbon Emission Market Considering Electricity Spot Market Clearing Outcomes -- NSTLBO Based Approach for Optimal Scheduling of Hydro-Thermal Generating Units in Regulated Environment -- Chaos and Multistability in Fractional Order Power System: Dynamic Analysis and Implications -- Identification of Critical Nodes using Granger Causality for Strengthening Network Resilience in Electrical Distribution System -- A Bald Eagle Search Optimization Approach For Congestion Alleviation In Power System Transmission Channels -- Performance Evaluation on Developed FRP Rods Used in Composite Insulators Using Rotating Wheel and Dip Facility -- Prosumer peer-to-peer Transaction Model Considering Franchise Rights of Distribution Companies -- Photovoltaic with Battery and Super-Capacitor Energy Storage System for Better Performance Devices and Modeling -- Optimal Planning of Hydrogen Refueling Stations Considering Balanced Utilization of Resources -- Performance Analysis of Wind Power Forecasting via System Advisor Model Software -- Enhancing Photovoltaic Connector Reliability: A Comparative Review of Studies with Practical Recommendations -- A Comprehensive Study of Power Quality Improvement Techniques in Smart Grids with Renewable Energy Systems -- Powering the Future: IoT-Enabled Smart Grids for Sustainable Energy Systems -- Solar charging station for electric vehicles -- Theoretical analysis of Tandem Solar Cell Doped with MASnl3 with P3HT: PCBM Active Layer -- A Comprehensive Review on Electric Vehicle Battery Swapping Stations -- Comparison Between PID and SMC Controller To Control the Speed of DC Separately Excited Motor -- Active Disturbance Rejection Control of a SEPIC Converter -- Designing a Map less Navigation Mobile robot using Deep Q Learning -- Implications of Location of Strain Gauges and Excitation Voltage over the Metrological Performance of Trapezoidal-shaped Force Transducer -- Studying the effect of type of surface passivation layer on performance parameters of AlGaN MSM Detector -- Performance Analysis of Multi-user Cooperative Non-Orthogonal Multiple Access on Time Sharing Basis -- An Intelligent LoRa-Based Wireless Sensor Network Mesh Architecture to improve Precision Agriculture -- A Comprehensive Review of Conventional to Modern Algorithms of Speech Enhancement -- Gain Improvement of PIFA Antenna using Glass Substrate in comparison with FR4 Substrate. |
| Record Nr. | UNINA-9910806199203321 |
|
Shaw Rabindra Nath
|
||
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Innovations in Electrical and Electronic Engineering [[electronic resource] ] : Proceedings of ICEEE 2023, Volume 2 / / edited by Rabindra Nath Shaw, Pierluigi Siano, Saad Makhilef, Ankush Ghosh, S. L. Shimi
| Innovations in Electrical and Electronic Engineering [[electronic resource] ] : Proceedings of ICEEE 2023, Volume 2 / / edited by Rabindra Nath Shaw, Pierluigi Siano, Saad Makhilef, Ankush Ghosh, S. L. Shimi |
| Autore | Shaw Rabindra Nath |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (694 pages) |
| Disciplina | 621.3 |
| Altri autori (Persone) |
SianoPierluigi
MakhilefSaad GhoshAnkush ShimiS. L |
| Collana | Lecture Notes in Electrical Engineering |
| Soggetto topico |
Electric power production
Telecommunication Control engineering Robotics Automation Artificial intelligence Electrical Power Engineering Microwaves, RF Engineering and Optical Communications Control, Robotics, Automation Artificial Intelligence |
| ISBN | 981-9986-61-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Optimization of Cloud Migration Parameters using Novel Linear Programming Technique -- A Novel approach on Deep Reinforcement Learning for Improved Throughput in Power-Restricted IoT Networks -- Complex Social Networks: Dynamics, Dynamics, Do-mains & Dimensions -- Enhancing Road Safety and Efficiency in Vehicular Ad-Hoc Networks through Anomaly Detection and Traffic Prediction using Big Data Analytics -- Benchmarking Facial Emotion Recognition Models Using Deep Learning: A Comparative Study -- The Impact of antidepressants in Tech Industry by medical history and interpersonal factors : A Systematic Review and Meta Analysis -- Artificial Neural Networks for Enhancing E-commerce: A Study on Improving Personalization, Recommendation and Customer Experience -- New Paradigm of Marketing-Financial Integration Modelling for Business Performance: An IMC Model -- Fusing Management and Deep Learning to Develop Cutting-edge Conversational Agents -- Water Quality Classification Using Machine Learning Techniques -- A Firebase based Smart Home Automation system using IoT -- EnRaFS: An Ensemble Ranking-based Feature Selection Approach for Grading Gallbladder Cancer using Radiomic Analysis -- Unmasking Deep Fakes: Advancements, Challenges, and Ethical Considerations -- Enhancing Healthcare Security using IoT-Enabled with Continuous Authentication Using Deep Learning -- Cross-Project Defect Prediction: Leveraging Knowledge Transfer for Improved Software Quality Assurance -- Multilingual Toxic Comment Classification using Bidirectional LSTM -- An Extensive Approach for Inter-Frames Video Forgery Detection -- Blockchain Empowered IVF: Revolutionizing Efficiency and Trust through Smart Contracts -- An Intelligent Diabetes Predicting Model for Diverse Ethnicities -- Detection of Punjabi Newspaper articles using a Deep-learning Approach -- Performance Measurement and Analysis of Partial Cloud Dependent Application Hosting -- Automatic Disease Detection For Various Plants Leaf Using Image Processing Techniques And Tensor-Flow Algorithm -- Contribution Unveiling Cutting-Edge Machine Learning Techniques for Image Segmentation -- Anticipating Graduate Program Admission Through Implementation of Deep Learning Models -- Ubiquitous Computing: A Comprehensive Review -- Deep Learning Tools for Covid-19 Pneumonia Classification -- Enhanced Change Detection Analysis of Urban Land Use and Land Cover in Vijayawada City: Integrating Artificial Neural Networks and Mahalanobis Distance Classification -- Explainable Machine Learning for Drug Classification -- Deep Learning-based Intrusion Detection System for Internet of Things Networks for Enhancing Security Against Cyber Attacks. |
| Record Nr. | UNINA-9910838278503321 |
|
Shaw Rabindra Nath
|
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||