Machine Intelligence and Emerging Technologies (Record no. 187478)

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001 - CONTROL NUMBER
control field 978-3-031-34619-4
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control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240423130332.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783031346194
-- 978-3-031-34619-4
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-031-34619-4
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TK5105.5-5105.9
072 #7 - SUBJECT CATEGORY CODE
Subject category code UKN
Source bicssc
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Subject category code COM043000
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Subject category code UKN
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082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 004.6
Edition number 23
245 10 - TITLE STATEMENT
Title Machine Intelligence and Emerging Technologies
Medium [electronic resource] :
Remainder of title First International Conference, MIET 2022, Noakhali, Bangladesh, September 23-25, 2022, Proceedings, Part I /
Statement of responsibility, etc edited by Md. Shahriare Satu, Mohammad Ali Moni, M. Shamim Kaiser, Mohammad Shamsul Arefin.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2023.
264 #1 -
-- Cham :
-- Springer Nature Switzerland :
-- Imprint: Springer,
-- 2023.
300 ## - PHYSICAL DESCRIPTION
Extent XXXI, 571 p. 362 illus., 201 illus. in color.
Other physical details online resource.
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490 1# - SERIES STATEMENT
Series statement Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering,
International Standard Serial Number 1867-822X ;
Volume number/sequential designation 490
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note 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.
520 ## - SUMMARY, ETC.
Summary, etc The two-volume set LNICST 490 and 491 constitutes the proceedings of the First International Conference on Machine Intelligence and Emerging Technologies, MIET 2022, hosted by Noakhali Science and Technology University, Noakhali, Bangladesh, during September 23–25, 2022. The 104 papers presented in the proceedings were carefully reviewed and selected from 272 submissions. This book focuses on theoretical, practical, state-of-art applications, and research challenges in the field of artificial intelligence and emerging technologies. It will be helpful for active researchers and practitioners in this field. These papers are organized in the following topical sections: imaging for disease detection; pattern recognition and natural language processing; bio signals and recommendation systems for wellbeing; network, security and nanotechnology; and emerging technologies for society and industry.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer networks .
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer systems.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Software engineering.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer programming.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer Communication Networks.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer System Implementation.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Software Engineering.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Programming Techniques.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Satu, Md. Shahriare.
Relator term editor.
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700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Moni, Mohammad Ali.
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700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Kaiser, M. Shamim.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Arefin, Mohammad Shamsul.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer Nature eBook
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783031346187
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783031346200
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering,
-- 1867-822X ;
Volume number/sequential designation 490
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-3-031-34619-4">https://doi.org/10.1007/978-3-031-34619-4</a>
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Koha item type eBooks-CSE-Springer

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