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Machine Intelligence and Emerging Technologies [[electronic resource] ] : First International Conference, MIET 2022, Noakhali, Bangladesh, September 23-25, 2022, Proceedings, Part I / / edited by Md. Shahriare Satu, Mohammad Ali Moni, M. Shamim Kaiser, Mohammad Shamsul Arefin
Machine Intelligence and Emerging Technologies [[electronic resource] ] : First International Conference, MIET 2022, Noakhali, Bangladesh, September 23-25, 2022, Proceedings, Part I / / edited by Md. Shahriare Satu, Mohammad Ali Moni, M. Shamim Kaiser, Mohammad Shamsul Arefin
Autore Satu Shahriare
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (597 pages)
Disciplina 006.3
Altri autori (Persone) MoniMohammad Ali
KaiserM. Shamim
ArefinMohammad Shamsul
Collana Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Soggetto topico Computer networks
Computer systems
Software engineering
Computer programming
Computer Communication Networks
Computer System Implementation
Software Engineering
Programming Techniques
ISBN 3-031-34619-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Imaging for Disease Detection: Potato-Net: Classifying Potato Leaf Diseases Using Transfer Learning Approach -- False Smut Disease Detection in Paddy using Convolutional Neural Network -- Gabor Wavelet based Fused Texture Features for Identification of Mungbean Leaf Diseases -- Potato Disease Detection Using Convolutional Neural Network: A Web Based Solution -- Device-friendly Guava fruit and leaf disease detection using deep learning -- Cassava Leaf Disease Classification using Supervised Contrastive Learning -- Diabetes Mellitus prediction using Transfer Learning -- An Improved Heart Disease Prediction Using Stacked Ensemble Method -- Improved and Intelligent Heart Disease Prediction System Using Machine Learning Algorithm -- PreCKD_ML: Machine Learning Based Development of Prediction Model for Chronic Kidney Disease and Identify Significant Risk Factors -- A Reliable and Efficient Transfer Learning Approach for Identifying COVID-19 Pneumonia from Chest X-ray -- Infection Segmentation from COVID-19 Chest CT Scans with Dilated CBAM U-Net -- Convolutional Neural Network Model to Detect COVID-19 Patients Utilizing Chest X-ray Images -- Classification of Tumor Cell Using a Naive Convolutional Neural Network Model -- Tumor-TL: A Transfer Learning Approach for Classifying Brain Tumors from MRI Images -- Deep Convolutional Comparison Architecture for Breast Cancer Binary Classification -- Lung Cancer Detection from Histopathological Images using Deep Learning -- Brain Tumor Detection Using Deep Network EfficientNet-B0 -- Cancer Diseases Diagnosis Using Deep Transfer Learning Architectures -- Transfer Learning Based Skin Cancer Classification using GoogLeNet -- Assessing the Risks of COVID-19 on the Health Conditions of Alzheimer’s Patients Using Machine Learning Techniques -- MRI based automated detection of Brain Tumor using DWT, GLCM, PCA, ensemble of SVM and PNN in sequence -- Pattern Recognition and Natural Language Processing: Performance Analysis of ASUS Tinker and MobileNetV2 in Face Mask Detection on Different Datasets -- Fake Profile Detection in Social Media Using Image processing and Machine learning -- A Novel Texture Descriptor Evaluation window based Adjacent Distance Local Binary Pattern (EADLBP) for Image Classification -- Bornomala: A Deep Learning-Based Bangla Image Captioning Technique -- Traffic Sign Detection & Recognition Using Deep Learning Approach -- A Novel Bangla Spoken Numerals Recognition System using Convolutional Neural Network -- Bangla Speech-based Person Identification using LSTM Networks -- VADER vs. BERT: A Comparative Performance Analysis for Sentiment on Coronavirus Outbreak -- Aspect Based Sentiment Analysis of COVID-19 Tweets Using Blending Ensemble of Deep Learning Models -- Covid-19 Vaccine Sentiment Detection and Analysis Using Machine Learning Technique and NLP -- Sentiment Analysis of Tweets on Covid Vaccine (Pfizer): A Boosting-based Machine Learning Solution -- Matching Job Circular With Resume Using Different Natural Language Processing Based Algorithms -- Transformer-based Text Clustering for Newspaper Articles -- Bangla to English Translation using Sequence to Sequence Learning model based Recurrent Neural Networks -- Bangla Spelling Error Detection and Correction Using N-gram Model -- Bidirectional Long-Short Term Memory with Byte Pair Encoding and Back Translation for Bangla-English Machine Translation -- Face Recognition-based Mass Attendance using YOLOv5 and ArcFace -- A Hybrid Watermarking Technique Based on LH-HL Subbands of DWT and SVD -- A Smartphone Based Real-time Object Recognition System for Visually Impaired People -- Bangla Speech Emotion Recognition Using 3D CNN Bi-LSTM Model -- An RNN Based Approach to Predict Next Word in Bangla Language.
Record Nr. UNISA-996546825803316
Satu Shahriare  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Machine Intelligence and Emerging Technologies [[electronic resource] ] : First International Conference, MIET 2022, Noakhali, Bangladesh, September 23-25, 2022, Proceedings, Part II / / edited by Md. Shahriare Satu, Mohammad Ali Moni, M. Shamim Kaiser, Mohammad Shamsul Arefin
Machine Intelligence and Emerging Technologies [[electronic resource] ] : First International Conference, MIET 2022, Noakhali, Bangladesh, September 23-25, 2022, Proceedings, Part II / / edited by Md. Shahriare Satu, Mohammad Ali Moni, M. Shamim Kaiser, Mohammad Shamsul Arefin
Autore Satu Shahriare
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (819 pages)
Disciplina 006.3
Altri autori (Persone) MoniMohammad Ali
KaiserM. Shamim
ArefinMohammad Shamsul
Collana Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Soggetto topico Computer networks
Application software
Computer systems
Software engineering
Computer programming
Computers, Special purpose
Computer Communication Networks
Computer and Information Systems Applications
Computer System Implementation
Software Engineering
Programming Techniques
Special Purpose and Application-Based Systems
ISBN 3-031-34622-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Bio Signals and Recommendation Systems for Wellbeing: Diagnosis and Classification of Fetal Health Based on CTG Data Using Machine Learning Techniques -- Epileptic Seizure Prediction using Bandpass Filtering and Convolutional Neural Network -- Autism Spectrum Disorder Detection from EEG through Hjorth Parameters and Classification using Neural Network -- A Review on Heart Diseases Prediction Using Artificial Intelligence -- Machine Learning Models to Identify Discriminatory Factors of Diabetes Subtypes -- Analysis of Hand Movement from Surface EMG Signals Using Artificial Neural Network -- Design and implementation of a drowsiness detection system up to extended head angle using FaceMesh machine learning solution -- Fuzziness based Semi-supervised Deep Learning for Multimodal Image Classification -- Human emotion recognition from facial images using Convolutional Neural Network -- Emotion Recognition from Brain Wave using Multitask Machine Learning Leveraging Residual Connections -- Emotion Recognition from EEG Using Mutual Information based Feature Map and CNN -- A Machine Learning-based System to Recommend Appropriate Military Training Program for a Soldier -- Integrated Music Recommendation System using Collaborative Content Based Filtering, and Sentiment Analysis -- A Clustering Based Niching Method for Effectively Solving the 0-1 Knapsack Problem -- Assorted, Archetypal and Annotated Two Million (3A2M) Cooking Recipes Dataset based on Active Learning -- The Impact of Data Locality on the Performance of Cluster-Based Under-Sampling -- An Analysis of Islamic Inheritance System Under Object-Oriented Paradigm -- Can Transformer Models Effectively Detect Software Aspects in StackOverflow Discussion? -- An Empirical Studies on How the Developers Discussed about Pandas Topics -- BSDRM: A Machine Learning Based Bug Triaging Model To Recommend Developer Team -- A Belief Rule Based Expert System To Diagnose Schizophrenia Using Whole Blood DNA methylation Data -- Network, Security and Nanotechnology: Reactive and Proactive Routing Protocols Performance Evaluation for MANETS Using OPNET Modeler Simulation Tools -- A Novel MIMO Antenna for 6G Applications -- Modification of Link Speed Estimation Model for IEEE 802.11ac WLANs by Considering Shadowing Effect -- Electromagnetic Absorption Analysis of 5G Wireless Devices for Different Electromagnetic Shielding Techniques -- ToothHack: An Investigation on a Bluetooth Dongle to Implement a Low-Cost and Dynamic Wireless Control Signal Transmission ystem -- Robustness of Eigenvalue-Spread Based rule of combination in Dynamic Networked System with Link Failures -- Blockchain based services in Education: A Bibliometric Analysis -- An Approach Towards Minimizing Covid-19 Situation Using Android App and Drone-Based Technology -- IoT and ML based approach for Highway Monitoring and Streetlamp Controlling -- Cyber-Attack Detection through Ensemble-based Machine Learning Classifier -- A Stacked Ensemble Spyware Detection Model Using Hyper-parameter Tuned Tree Based Classifiers -- IoT Based Framework for Remote Patient Monitoring -- Block-chain aided Cluster based Logistic Network for Food Supply Chain -- Programmable Logic Array in Quantum Computing -- QPROM: Quantum Nanotechnology for Data Storage Using Programmable Read Only Memory -- Analytical Modeling of Multi-Junction Solar Cell Using SiSn Alloy -- Design and Fabrication of a Low-Cost Customizable Modern CNC Laser Cutter -- Hole Transport Layer Free non-Toxic Perovskite Solar cell Using ZnSe Electron Transport Material -- A novel ADI based method for model reduction of discrete-time index 2 control systems -- Emerging Technologies for Society and Industry: Prevalence of Stroke in Rural Bangladesh: A Population Based Study -- Segmented-Truncated-SVD for Effective Feature Extraction in Hyperspectral Image Classification -- Effective Feature extraction via Folded-Sparse-PCA for Hyperspectral Image classification -- Segmented-Incremental-PCA for Hyperspectral Image Classification -- Spectral–Spatial Feature Reduction for Hyperspectral Image Classification -- Predicting the Risk of COVID-19 Infection Using Lifestyle Data -- Forecasting Dengue Incidence in Bangladesh using Seasonal ARIMA Model, A Time Series Analysis -- The impact of social and economic indicators on infant mortality rate in Bangladesh: A Vector Error Correction Model (VECM) approach -- Machine Learning Approaches To Predict Movie Success -- Structure of Global Financial Networks before and during COVID-19 Based on Mutual Information -- Employee Attrition Analysis Using CatBoost -- Readiness Towards Industry 4.0 of Selected Industrial Sector -- Estimating Energy Expenditure Of Push-up Exercise In Real Time Using Machine Learning -- Cross-Layer Architecture for Energy Optimization of Edge Computing -- Energy Consumption Issues of a Data Center -- Trade-offs of Improper E-waste Recycling: An Empirical Study -- A Hybrid Cloud System for Power-Efficient Cloud Computing -- A Sustainable E-Waste Management System for Bangladesh -- Machine Learning Algorithms on COVID-19 Prediction Using CpG Island and AT-CG Feature on Human Genomic Data -- Statistical and Bioinformatics Model to Identify the Influential Genes and Comorbidities of Glioblastoma -- Protein Folding Optimization Using Butterfly Optimization Algorithm.
Record Nr. UNISA-996546824803316
Satu Shahriare  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Machine Intelligence and Emerging Technologies : First International Conference, MIET 2022, Noakhali, Bangladesh, September 23-25, 2022, Proceedings, Part II / / edited by Md. Shahriare Satu, Mohammad Ali Moni, M. Shamim Kaiser, Mohammad Shamsul Arefin
Machine Intelligence and Emerging Technologies : First International Conference, MIET 2022, Noakhali, Bangladesh, September 23-25, 2022, Proceedings, Part II / / edited by Md. Shahriare Satu, Mohammad Ali Moni, M. Shamim Kaiser, Mohammad Shamsul Arefin
Autore Satu Shahriare
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (819 pages)
Disciplina 006.3
Altri autori (Persone) MoniMohammad Ali
KaiserM. Shamim
ArefinMohammad Shamsul
Collana Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Soggetto topico Computer networks
Application software
Computer systems
Software engineering
Computer programming
Computers, Special purpose
Computer Communication Networks
Computer and Information Systems Applications
Computer System Implementation
Software Engineering
Programming Techniques
Special Purpose and Application-Based Systems
ISBN 3-031-34622-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Bio Signals and Recommendation Systems for Wellbeing: Diagnosis and Classification of Fetal Health Based on CTG Data Using Machine Learning Techniques -- Epileptic Seizure Prediction using Bandpass Filtering and Convolutional Neural Network -- Autism Spectrum Disorder Detection from EEG through Hjorth Parameters and Classification using Neural Network -- A Review on Heart Diseases Prediction Using Artificial Intelligence -- Machine Learning Models to Identify Discriminatory Factors of Diabetes Subtypes -- Analysis of Hand Movement from Surface EMG Signals Using Artificial Neural Network -- Design and implementation of a drowsiness detection system up to extended head angle using FaceMesh machine learning solution -- Fuzziness based Semi-supervised Deep Learning for Multimodal Image Classification -- Human emotion recognition from facial images using Convolutional Neural Network -- Emotion Recognition from Brain Wave using Multitask Machine Learning Leveraging Residual Connections -- Emotion Recognition from EEG Using Mutual Information based Feature Map and CNN -- A Machine Learning-based System to Recommend Appropriate Military Training Program for a Soldier -- Integrated Music Recommendation System using Collaborative Content Based Filtering, and Sentiment Analysis -- A Clustering Based Niching Method for Effectively Solving the 0-1 Knapsack Problem -- Assorted, Archetypal and Annotated Two Million (3A2M) Cooking Recipes Dataset based on Active Learning -- The Impact of Data Locality on the Performance of Cluster-Based Under-Sampling -- An Analysis of Islamic Inheritance System Under Object-Oriented Paradigm -- Can Transformer Models Effectively Detect Software Aspects in StackOverflow Discussion? -- An Empirical Studies on How the Developers Discussed about Pandas Topics -- BSDRM: A Machine Learning Based Bug Triaging Model To Recommend Developer Team -- A Belief Rule Based Expert System To Diagnose Schizophrenia Using Whole Blood DNA methylation Data -- Network, Security and Nanotechnology: Reactive and Proactive Routing Protocols Performance Evaluation for MANETS Using OPNET Modeler Simulation Tools -- A Novel MIMO Antenna for 6G Applications -- Modification of Link Speed Estimation Model for IEEE 802.11ac WLANs by Considering Shadowing Effect -- Electromagnetic Absorption Analysis of 5G Wireless Devices for Different Electromagnetic Shielding Techniques -- ToothHack: An Investigation on a Bluetooth Dongle to Implement a Low-Cost and Dynamic Wireless Control Signal Transmission ystem -- Robustness of Eigenvalue-Spread Based rule of combination in Dynamic Networked System with Link Failures -- Blockchain based services in Education: A Bibliometric Analysis -- An Approach Towards Minimizing Covid-19 Situation Using Android App and Drone-Based Technology -- IoT and ML based approach for Highway Monitoring and Streetlamp Controlling -- Cyber-Attack Detection through Ensemble-based Machine Learning Classifier -- A Stacked Ensemble Spyware Detection Model Using Hyper-parameter Tuned Tree Based Classifiers -- IoT Based Framework for Remote Patient Monitoring -- Block-chain aided Cluster based Logistic Network for Food Supply Chain -- Programmable Logic Array in Quantum Computing -- QPROM: Quantum Nanotechnology for Data Storage Using Programmable Read Only Memory -- Analytical Modeling of Multi-Junction Solar Cell Using SiSn Alloy -- Design and Fabrication of a Low-Cost Customizable Modern CNC Laser Cutter -- Hole Transport Layer Free non-Toxic Perovskite Solar cell Using ZnSe Electron Transport Material -- A novel ADI based method for model reduction of discrete-time index 2 control systems -- Emerging Technologies for Society and Industry: Prevalence of Stroke in Rural Bangladesh: A Population Based Study -- Segmented-Truncated-SVD for Effective Feature Extraction in Hyperspectral Image Classification -- Effective Feature extraction via Folded-Sparse-PCA for Hyperspectral Image classification -- Segmented-Incremental-PCA for Hyperspectral Image Classification -- Spectral–Spatial Feature Reduction for Hyperspectral Image Classification -- Predicting the Risk of COVID-19 Infection Using Lifestyle Data -- Forecasting Dengue Incidence in Bangladesh using Seasonal ARIMA Model, A Time Series Analysis -- The impact of social and economic indicators on infant mortality rate in Bangladesh: A Vector Error Correction Model (VECM) approach -- Machine Learning Approaches To Predict Movie Success -- Structure of Global Financial Networks before and during COVID-19 Based on Mutual Information -- Employee Attrition Analysis Using CatBoost -- Readiness Towards Industry 4.0 of Selected Industrial Sector -- Estimating Energy Expenditure Of Push-up Exercise In Real Time Using Machine Learning -- Cross-Layer Architecture for Energy Optimization of Edge Computing -- Energy Consumption Issues of a Data Center -- Trade-offs of Improper E-waste Recycling: An Empirical Study -- A Hybrid Cloud System for Power-Efficient Cloud Computing -- A Sustainable E-Waste Management System for Bangladesh -- Machine Learning Algorithms on COVID-19 Prediction Using CpG Island and AT-CG Feature on Human Genomic Data -- Statistical and Bioinformatics Model to Identify the Influential Genes and Comorbidities of Glioblastoma -- Protein Folding Optimization Using Butterfly Optimization Algorithm.
Record Nr. UNINA-9910731474303321
Satu Shahriare  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Machine Intelligence and Emerging Technologies : First International Conference, MIET 2022, Noakhali, Bangladesh, September 23-25, 2022, Proceedings, Part I / / edited by Md. Shahriare Satu, Mohammad Ali Moni, M. Shamim Kaiser, Mohammad Shamsul Arefin
Machine Intelligence and Emerging Technologies : First International Conference, MIET 2022, Noakhali, Bangladesh, September 23-25, 2022, Proceedings, Part I / / edited by Md. Shahriare Satu, Mohammad Ali Moni, M. Shamim Kaiser, Mohammad Shamsul Arefin
Autore Satu Shahriare
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (597 pages)
Disciplina 006.3
Altri autori (Persone) MoniMohammad Ali
KaiserM. Shamim
ArefinMohammad Shamsul
Collana Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Soggetto topico Computer networks
Computer systems
Software engineering
Computer programming
Computer Communication Networks
Computer System Implementation
Software Engineering
Programming Techniques
ISBN 3-031-34619-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Imaging for Disease Detection: Potato-Net: Classifying Potato Leaf Diseases Using Transfer Learning Approach -- False Smut Disease Detection in Paddy using Convolutional Neural Network -- Gabor Wavelet based Fused Texture Features for Identification of Mungbean Leaf Diseases -- Potato Disease Detection Using Convolutional Neural Network: A Web Based Solution -- Device-friendly Guava fruit and leaf disease detection using deep learning -- Cassava Leaf Disease Classification using Supervised Contrastive Learning -- Diabetes Mellitus prediction using Transfer Learning -- An Improved Heart Disease Prediction Using Stacked Ensemble Method -- Improved and Intelligent Heart Disease Prediction System Using Machine Learning Algorithm -- PreCKD_ML: Machine Learning Based Development of Prediction Model for Chronic Kidney Disease and Identify Significant Risk Factors -- A Reliable and Efficient Transfer Learning Approach for Identifying COVID-19 Pneumonia from Chest X-ray -- Infection Segmentation from COVID-19 Chest CT Scans with Dilated CBAM U-Net -- Convolutional Neural Network Model to Detect COVID-19 Patients Utilizing Chest X-ray Images -- Classification of Tumor Cell Using a Naive Convolutional Neural Network Model -- Tumor-TL: A Transfer Learning Approach for Classifying Brain Tumors from MRI Images -- Deep Convolutional Comparison Architecture for Breast Cancer Binary Classification -- Lung Cancer Detection from Histopathological Images using Deep Learning -- Brain Tumor Detection Using Deep Network EfficientNet-B0 -- Cancer Diseases Diagnosis Using Deep Transfer Learning Architectures -- Transfer Learning Based Skin Cancer Classification using GoogLeNet -- Assessing the Risks of COVID-19 on the Health Conditions of Alzheimer’s Patients Using Machine Learning Techniques -- MRI based automated detection of Brain Tumor using DWT, GLCM, PCA, ensemble of SVM and PNN in sequence -- Pattern Recognition and Natural Language Processing: Performance Analysis of ASUS Tinker and MobileNetV2 in Face Mask Detection on Different Datasets -- Fake Profile Detection in Social Media Using Image processing and Machine learning -- A Novel Texture Descriptor Evaluation window based Adjacent Distance Local Binary Pattern (EADLBP) for Image Classification -- Bornomala: A Deep Learning-Based Bangla Image Captioning Technique -- Traffic Sign Detection & Recognition Using Deep Learning Approach -- A Novel Bangla Spoken Numerals Recognition System using Convolutional Neural Network -- Bangla Speech-based Person Identification using LSTM Networks -- VADER vs. BERT: A Comparative Performance Analysis for Sentiment on Coronavirus Outbreak -- Aspect Based Sentiment Analysis of COVID-19 Tweets Using Blending Ensemble of Deep Learning Models -- Covid-19 Vaccine Sentiment Detection and Analysis Using Machine Learning Technique and NLP -- Sentiment Analysis of Tweets on Covid Vaccine (Pfizer): A Boosting-based Machine Learning Solution -- Matching Job Circular With Resume Using Different Natural Language Processing Based Algorithms -- Transformer-based Text Clustering for Newspaper Articles -- Bangla to English Translation using Sequence to Sequence Learning model based Recurrent Neural Networks -- Bangla Spelling Error Detection and Correction Using N-gram Model -- Bidirectional Long-Short Term Memory with Byte Pair Encoding and Back Translation for Bangla-English Machine Translation -- Face Recognition-based Mass Attendance using YOLOv5 and ArcFace -- A Hybrid Watermarking Technique Based on LH-HL Subbands of DWT and SVD -- A Smartphone Based Real-time Object Recognition System for Visually Impaired People -- Bangla Speech Emotion Recognition Using 3D CNN Bi-LSTM Model -- An RNN Based Approach to Predict Next Word in Bangla Language.
Record Nr. UNINA-9910731467103321
Satu Shahriare  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Proceeding of the 2nd International Conference on Machine Intelligence and Emerging Technologies : MIET 2024 / / edited by Md. Shahriare Satu, Mohammad Shamsul Arefin, Pietro Lio', M. Shamim Kaiser
Proceeding of the 2nd International Conference on Machine Intelligence and Emerging Technologies : MIET 2024 / / edited by Md. Shahriare Satu, Mohammad Shamsul Arefin, Pietro Lio', M. Shamim Kaiser
Autore Satu Shahriare
Edizione [1st ed. 2025.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025
Descrizione fisica 1 online resource (950 pages)
Disciplina 006.3
Altri autori (Persone) Shamsul ArefinMohammad
Lio'Pietro
KaiserM. Shamim
Collana Lecture Notes in Networks and Systems
Soggetto topico Computational intelligence
Telecommunication
Machine learning
Computational Intelligence
Communications Engineering, Networks
Machine Learning
ISBN 981-9627-21-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9911018752503321
Satu Shahriare  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui