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Information and Communication Technology for Competitive Strategies (ICTCS 2020) [[electronic resource] ] : Intelligent Strategies for ICT / / edited by M. Shamim Kaiser, Juanying Xie, Vijay Singh Rathore
| Information and Communication Technology for Competitive Strategies (ICTCS 2020) [[electronic resource] ] : Intelligent Strategies for ICT / / edited by M. Shamim Kaiser, Juanying Xie, Vijay Singh Rathore |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (1158 pages) |
| Disciplina | 004 |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Computational intelligence
Telecommunication Artificial intelligence Technology - Sociological aspects Information technology Application software Computational Intelligence Communications Engineering, Networks Artificial Intelligence Information and Communication Technologies (ICT) Computer and Information Systems Applications Tecnologia de la informació Intel·ligència artificial |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN | 981-16-0882-2 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. An Assessment of Internet Services Usage Among Postgraduate Students in the Nigerian Defence Academy -- Chapter 2. Smart Attendance Monitoring System using Local Binary Pattern Histogram -- Chapter 3. An energy efficient wireless sensor deployment for lifetime maximization by optimizing through Improved Particle Swarm Optimization -- Chapter 4. Improved Nutrition Management in Maize by Analyzing Leaf Images -- Chapter 5. Modified LEACH-B Protocol for Energy Aware Wireless Sensor Network for Efficient Network Lifetime -- Chapter 6. Web Content Authentication: A machine learning approach to identify fake and authentic web pages on Internet -- Chapter 7. Classification of Brain tumor By Convolution Neural Networks -- Chapter 8. Automated Multiple Face Recognition Using Deep Learning For Security and Survelliance applications -- Chapter 9. An App-Based IoT-NFC Con-trolled Remote access Security through Cryptography Algorithm -- Chapter 10. Pneumonia Detection Using X ray Images and Deep Learning -- Chapter 11. Autonomous Sailing Boat -- Chapter 12. A Proposed Method to Improve Efficiency in IPv6 Network using Machine Learning Algorithms: An Overview -- Chapter 13. Byte Shrinking Approach for Lossy Image Compression -- Chapter 14. Image Encryption using Matrix Attribute Value Techniques -- Chapter 15. Weather Prediction Based on Seasonal Parameters Using Machine Learning. |
| Record Nr. | UNINA-9910490023803321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Information and communication technology for competitive strategies (ICTCS 2021) : intelligent strategies for ICT / / M. Shamim Kaiser, Juanying Xie and Vijay Singh Rathore, editors
| Information and communication technology for competitive strategies (ICTCS 2021) : intelligent strategies for ICT / / M. Shamim Kaiser, Juanying Xie and Vijay Singh Rathore, editors |
| Pubbl/distr/stampa | Gateway East, Singapore : , : Springer, , [2023] |
| Descrizione fisica | 1 online resource (794 pages) |
| Disciplina | 658.4038 |
| Collana | Lecture notes in networks and systems |
| Soggetto topico |
Information technology - Management
Information technology |
| ISBN | 981-19-0098-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910627277203321 |
| Gateway East, Singapore : , : Springer, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Information and Communication Technology for Competitive Strategies (ICTCS 2022) [[electronic resource] ] : Intelligent Strategies for ICT / / edited by M. Shamim Kaiser, Juanying Xie, Vijay Singh Rathore
| Information and Communication Technology for Competitive Strategies (ICTCS 2022) [[electronic resource] ] : Intelligent Strategies for ICT / / edited by M. Shamim Kaiser, Juanying Xie, Vijay Singh Rathore |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (793 pages) |
| Disciplina | 004 |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Telecommunication
Technology—Sociological aspects Information technology Quantitative research Artificial intelligence Computational intelligence Communications Engineering, Networks Information and Communication Technologies (ICT) Data Analysis and Big Data Artificial Intelligence Computational Intelligence |
| Soggetto non controllato |
Sociology
Artificial Intelligence Engineering Telecommunication Social Science Computers Technology & Engineering |
| ISBN |
9789811993046
9789811993039 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Attainment of Program Outcomes in Outcome Based Education: A Case Study with Operating Systems Course -- Classification of Iris Image Features using Supervised and Unsupervised Learning -- Privacy Preserved Effective Bill Collection System using Blockchain -- Speech Emotion Recognition using Convolutional Neural Networks on Spectrograms and Mel-frequency Cepstral Coefficients Images -- Automatic recognition and categorization of Tomato Leaf syndrome of diseases using Deep Learning Algorithms -- Fake News Detection Approach based on Logistic Regression in Machine Learning -- A Survey on Deep Learning Methods for Addressing Covid 19 Issues -- An Application for Privacy-Preserving Contact Tracing and Public Risk Assessment using Blockchain for Covid-19 Pandemic -- Understanding the Impact of SNS on Education -- IoT-based Real-time Air Quality Monitoring and Alerting System for Patients with Chronic Respiratory Disease -- Analysis of Information System's in Cyber Crimes through Wireless Networks. |
| Record Nr. | UNINA-9910725085703321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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. | UNINA-9910731474303321 |
Satu Shahriare
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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 | ||
| ||
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. | UNINA-9910731467103321 |
|
Satu Shahriare
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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 | ||
| ||
Proceedings of international conference on trends in computational and cognitive engineering : proceedings of tcce 2020 / / edited by M. Shamim Kaiser, 3 others
| Proceedings of international conference on trends in computational and cognitive engineering : proceedings of tcce 2020 / / edited by M. Shamim Kaiser, 3 others |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (XX, 723 p. 307 illus., 249 illus. in color.) |
| Disciplina | 929.605 |
| Collana | Advances in Intelligent Systems and Computing |
| Soggetto topico |
Computational intelligence
Artificial intelligence |
| ISBN | 981-334-673-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Bangla Real-Word Error Detection and Correction Using Bidirectional LSTM and Bigram Hybrid Model -- Chapter 2. Quantitative Analysis of Deep CNNs for Multilingual Handwritten Digit Recognition -- Chapter 3. Performance Analysis of Machine Learning Approaches in Software Complexity Prediction -- Chapter 4. Bengali Abstractive News Summarization (BANS): A Neural Attention Approach -- Chapter 5. Application of Feature Engineering with Classification Techniques to Enhance Corporate Tax Default Detection Performance -- Chapter 6. PRCMLA: Product Review Classification using Machine Learning Algorithms -- Chapter 7. Handwritten Bangla Character Recognition Using Deep Convolutional Neural Network: Comprehensive Analysis on Three Complete Datasets -- Chapter 8. Handwritten Bangla Character Recognition Using Convolutional Neural Network and Bidirectional Long Short-Term Memory -- Chapter 9. Bangla Text Generation Using Bidirectional Optimized Gated Recurrent Unit Network -- Chapter 10. An ANN-based Approach to Identify Smart Appliances for Ambient Assisted Living (AAL) in the Smart Space. |
| Record Nr. | UNINA-9910484159303321 |
| Singapore : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Proceedings of the 2nd International Conference on Big Data, IoT and Machine Learning : Bim 2023
| Proceedings of the 2nd International Conference on Big Data, IoT and Machine Learning : Bim 2023 |
| Autore | Arefin Mohammad Shamsul |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore Pte. Limited, , 2024 |
| Descrizione fisica | 1 online resource (1053 pages) |
| Altri autori (Persone) |
KaiserM. Shamim
BhuiyanTouhid DeyNilanjan MahmudMufti |
| Collana | Lecture Notes in Networks and Systems Series |
| ISBN | 981-9989-37-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Organization -- Preface -- Contents -- Editors and Contributors -- Informatics for Emerging Applications -- A Deep Learning Approach to Predict Cryptocurrency Price by Evaluating Sentiment and Stock Market Correlations -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Proposed System -- 3.2 Data Preprocessing -- 3.3 Model for Cryptocurrency Data -- 3.4 Model for Sentiment Analysis -- 4 Evaluation -- 4.1 Dataset Description -- 4.2 Experimentation and Result Analysis -- 5 Conclusion -- References -- Dominance by Stability: A Framework for Top k Dominating Query on Incomplete Data -- 1 Introduction -- 2 Related Works -- 3 Top-k Dominating Query by Stability (TKDS) -- 3.1 Bucketing -- 3.2 Dominating Score Computation -- 3.3 Bucket Implementation -- 3.4 Top-k Query Processing -- 4 Performance Evaluation -- 4.1 Dataset -- 4.2 Result Analysis -- 5 Conclusion -- References -- Phylogeny Reconstruction Using k-mer Derived Transition Features -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 k-mer Length, Distribution Vector, and Position List Generation -- 3.2 Standard Deviation, Median, and Transition Spatial Features -- 3.3 Phylogenetic Distance and Tree Reconstruction -- 4 Experimental Results -- 4.1 Datasets and Configurations -- 4.2 Soundness of k-mer Length l and Scalability of the Method -- 4.3 Benchmark Test Performance -- 4.4 Performance with Respect to State-of-the-Art Methods -- 4.5 Discussion -- 5 Conclusion -- References -- Developing an Interpretable Machine Learning Model for Divorce Prediction -- 1 Introduction -- 2 Related Works -- 3 Understandable AI Model for Divorce Prediction -- 3.1 Proposed Methodology -- 3.2 Evaluation Metrics -- 3.3 Dataset Description -- 4 Result and Discussion -- 4.1 Performance Analysis of Individual Classifier -- 4.2 SHAP Value Analysis -- 5 Conclusion and Future Work.
References -- Riot Perception and Safety Navigation of Autonomous Vehicles Using Deep Learning -- 1 Introduction -- 2 Literature Review -- 3 Dataset Description and Preprocessing -- 4 Methodology -- 4.1 Model Architecture -- 4.2 Training YOLOv8 -- 5 Result and Discussions -- 6 Implementation and Future Work -- 7 Conclusion -- References -- An Explainable AI Enable Approach to Reveal Feature Influences on Social Media Customer Purchase Decisions -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Overview of the Proposed Methodology -- 3.2 Description of the Dataset -- 3.3 Techniques for Dataset Preprocessing -- 3.4 ML Algorithms for Analysis -- 3.5 Performance Measure Metrics -- 3.6 Details of XAI Tools -- 4 Result and Analysis -- 4.1 Performance of the ML Algorithms to Predict Social Media Customer Purchase Decision -- 4.2 Explainability of RF by the XAI Tools -- 5 Conclusion and Future Works -- References -- Field Programmable Gate Array in DNA Computing -- 1 Introduction -- 2 Background -- 2.1 DNA Computing -- 2.2 DNA Basic Operations -- 3 FPGA Logic Block -- 3.1 Architecture of Basic Components -- 3.2 Working Procedure -- 4 FPGA Logic Block Algorithm -- 5 Conclusion -- References -- XAI-Driven Model Explainability and Prediction of P2P Bank Loan Default Network -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Overview of Proposed Methodology -- 3.2 Description of the Dataset -- 3.3 Feature Selection Procedure -- 3.4 Data Balancing in Highly Imbalanced Dataset -- 3.5 Description of the ML Algorithms for Prediction -- 3.6 Performance Measure Techniques -- 3.7 Description of the Explainable AI Tools -- 4 Result and Analysis -- 5 Conclusion and Future Works -- References -- Design Implication of a Compact-Sized, Low-Fidelity Rover for Tough Terrain Exploration -- 1 Introduction -- 2 Comparative Study. 3 Foundational Concepts and Technologies -- 3.1 Embedded System and Robotics -- 3.2 Navigation System in Miniature Robots -- 3.3 Low-Fidelity Robot -- 3.4 Mini Rover -- 4 Systematic Approach -- 4.1 Task Outline -- 5 Implementation -- 5.1 System Design -- 5.2 Mathematical Calculation -- 6 Discussions and Analysis -- 7 Conclusion -- References -- VioNet: An Enhanced Violence Detection Approach for Videos Using a Fusion Model of Vision Transformer with Bi-LSTM and 3D Convolutional Neural Networks -- 1 Introduction -- 2 Related Works -- 3 Proposed Method -- 4 Result and Discussion -- 4.1 Dataset -- 4.2 Implementation Details -- 4.3 Performance Evaluation -- 4.4 Comparison with Other Methods -- 5 Conclusion -- References -- Rank Your Summaries: Enhancing Bengali Text Summarization Via Ranking-Based Approach -- 1 Introduction -- 2 Bengali Summary Ranker -- 2.1 Proposed Approach -- 2.2 Models -- 3 Evaluation -- 3.1 Datasets -- 3.2 Hyper-Parameter Settings -- 3.3 Evaluation Metrics -- 3.4 Experimental Results -- 4 Result Analysis -- 4.1 Quantitative Analysis -- 4.2 Qualitative Analysis -- 5 Related Works -- 6 Conclusion -- References -- An Efficient Machine Learning Classification Model for Rainfall Prediction in Bangladesh -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Predicted Models -- 3.2 Models Setting and Analysis Steps -- 3.3 Flow Diagram of This Study -- 3.4 Experiment Dataset -- 3.5 Data Preprocess -- 4 Results and Discussion -- 4.1 Actual and Predicted Results -- 4.2 Models Performance Table -- 4.3 Graphical Representation -- 5 Conclusions and Future Work -- References -- Study on the Analysis and Prediction of Drug Addiction Among University Students of Bangladesh Using Machine Learning -- 1 Introduction -- 1.1 Data Collection -- 1.2 Assuring the Quality -- 1.3 Choosing an Algorithm -- 1.4 Limitations -- 1.5 Ethical Consideration. 2 Literature Review -- 3 Background Study -- 3.1 K-Nearest Neighbor -- 3.2 Logistic Regression -- 3.3 Gaussian Naïve Bayes -- 3.4 Support Vector Machine -- 3.5 Random Forest -- 3.6 Neural Network (Multilayer Perceptron) -- 4 Methodology -- 4.1 Data Assemblage and Dataset -- 4.2 Visualization -- 4.3 Algorithm Analysis -- 5 Experiment Results -- 6 Conclusion and Future Work -- References -- Artificial Intelligence for Imaging Applications -- A Deep CNN-Based Approach for Revolutionizing Bengali Handwritten Numeral Recognition -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Dataset Acquisition and Description -- 3.2 Data Augmentation -- 3.3 Convolutional Neural Network -- 3.4 Proposed Architecture -- 4 Experiment and Result Analysis -- 4.1 Data Preprocessing -- 4.2 Experimental Settings -- 4.3 Result Analysis -- 4.4 Evaluating Different Route Configurations -- 4.5 Comparison with Prior Works -- 5 Conclusion -- References -- Performance Analysis of Multiple Deep Learning Models for Image Retrieval Problems -- 1 Introduction -- 2 Related Work -- 2.1 Literature Review -- 2.2 Deep Learning Methods -- 3 Research Methodology -- 3.1 Image Acquisition -- 3.2 Model Adaptation -- 3.3 Implementation and Training -- 4 Experimental Result and Analysis -- 5 Conclusion -- References -- Advancing Lung Cancer Diagnosis Through Deep Learning and Grad-CAM-Based Visualization Techniques -- 1 Introduction -- 2 Literature Review -- 3 Materials and Methodology -- 3.1 Dataset Description -- 3.2 Data Preprocessing -- 3.3 Proposed Workflow -- 3.4 Model Architecture -- 3.5 Grad-CAM Visualization -- 4 Result Analysis -- 4.1 Method Evaluation Metrics -- 4.2 Comparison with Pre-Trained Other Models -- 4.3 Comparison with Related Works -- 4.4 Obtained Result -- 5 Discussion -- 6 Conclusion -- References. A Novel Approach to Detect Stroke from 2D Images Using Deep Learning -- 1 Introduction -- 2 Related Works -- 3 Data Sets Characteristics -- 4 Proposed Methodology -- 5 Result and Discussion -- 5.1 Batch Size -- 5.2 Impact of Learning Rate -- 5.3 Adam Optimizer -- 5.4 Kernel Size -- 5.5 Comparison with Current Studies -- 6 Conclusion and Future Work -- References -- Enhancing Pneumonia Diagnosis: An Ensemble of Deep CNN Architectures for Accurate Chest X-Ray Image Analysis -- 1 Introduction -- 2 Literature Review -- 3 Proposed Method -- 4 Dataset -- 5 Image Pre-processing -- 5.1 Resizing -- 5.2 Augmentation -- 5.3 Normalization -- 6 Deep CNN Model Architectures Using Transfer Learning -- 6.1 Convolutional Neural Network Model Architectures -- 6.2 Transfer Learning: Fine Tuning -- 7 Ensemble Learning -- 8 Results and Discussion -- 8.1 Output of Single Model -- 8.2 Output of Ensemble Model -- 9 Conclusion -- References -- Dataset for Road Roughness Assessment Using Image Classification Techniques and Deep Learning Models: A Case Study on Bangladeshi National Highways -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Data Collection -- 3.2 Data Preprocessing -- 3.3 Dataset Comparison -- 3.4 Model Training -- 3.5 Feature Map Extraction -- 3.6 Analysis -- 4 Conclusion -- References -- Noise-Aware-Based Texture Descriptor, Evaluation Adjacent Distance Local Ternary Pattern EAdLTP for Image Classification -- 1 Introduction -- 2 Background Study -- 2.1 Local Binary Pattern LBP -- 2.2 Local Ternary Pattern LTP -- 3 Noise-Aware-Based Evaluation Window-Based Adjacent Distance Local Ternary Pattern EAdLTP -- 3.1 Encoding the Value of xp -- 3.2 Calculating the Value of Adjacent Distance Local Ternary Pattern EAdLTP -- 4 Experiment Analysis -- 5 Conclusion -- References -- Sentiment Analysis from YouTube Video Using Bi-LSTM-GRU Classification. 1 Introduction. |
| Record Nr. | UNINA-9910847080403321 |
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Arefin Mohammad Shamsul
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| Singapore : , : Springer Singapore Pte. Limited, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Proceedings of the Third International Conference on Trends in Computational and Cognitive Engineering : TCCE 2021 / / edited by M. Shamim Kaiser [and four others]
| Proceedings of the Third International Conference on Trends in Computational and Cognitive Engineering : TCCE 2021 / / edited by M. Shamim Kaiser [and four others] |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (567 pages) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico | Computational intelligence |
| ISBN |
981-16-7597-X
981-16-7596-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910743238903321 |
| Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
