LEADER 02652nam 2200649 450 001 9910140438603321 005 20230522035541.0 010 $a1-118-70708-7 010 $a1-118-70705-2 010 $a1-118-70707-9 035 $a(CKB)2670000000523121 035 $a(EBL)1629348 035 $a(SSID)ssj0001110718 035 $a(PQKBManifestationID)11593182 035 $a(PQKBTitleCode)TC0001110718 035 $a(PQKBWorkID)11124752 035 $a(PQKB)11438448 035 $a(OCoLC)871228571 035 $a(MiAaPQ)EBC1629348 035 $a(DLC) 2014006422 035 $a(Au-PeEL)EBL1629348 035 $a(CaPaEBR)ebr10837560 035 $a(CaONFJC)MIL573946 035 $a(EXLCZ)992670000000523121 100 $a20140212d2014 uy| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aEnergy efficient buildings with solar and geothermal resources /$fUrsula Eicker 210 1$aChichester, West Sussex, United Kingdom :$cJohn Wiley & Sons Inc.,$d2014. 215 $a1 online resource (605 p.) 300 $aDescription based upon print version of record. 311 $a1-118-35224-6 320 $aIncludes bibliographical references and index. 327 $apart A. Passive solar -- part B. Natural ventilation -- part C. Daylighting of buildings. 330 $aA modern and unique perspective on solar and geothermal technologies for heating and cooling buildings This book will have a broad appeal reaching practising engineers in the industry as well as students. With introductory sections for each technology described, material includes chapters on: geothermal energy use for the heating and cooling of buildings; a chapter on electrically driven heat pumps/chillers; material on night radiative cooling, photovoltaic thermal collectors, temperature modelling and thin film photovoltaic modelling. Includes general introductory 606 $aSustainable buildings 606 $aSolar buildings 606 $aGeothermal space heating 606 $aAir conditioning$xEnergy conservation 606 $aHeating$xEnergy conservation 615 0$aSustainable buildings. 615 0$aSolar buildings. 615 0$aGeothermal space heating. 615 0$aAir conditioning$xEnergy conservation. 615 0$aHeating$xEnergy conservation. 676 $a697/.78 700 $aEicker$b Ursula$0771664 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910140438603321 996 $aEnergy efficient buildings with solar and geothermal resources$92147960 997 $aUNINA LEADER 07193nam 22006735 450 001 9910731467103321 005 20230610205630.0 010 $a3-031-34619-X 024 7 $a10.1007/978-3-031-34619-4 035 $a(MiAaPQ)EBC30591739 035 $a(Au-PeEL)EBL30591739 035 $a(DE-He213)978-3-031-34619-4 035 $a(PPN)272262765 035 $a(CKB)26895863400041 035 $a(EXLCZ)9926895863400041 100 $a20230610d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMachine Intelligence and Emerging Technologies $eFirst International Conference, MIET 2022, Noakhali, Bangladesh, September 23-25, 2022, Proceedings, Part I /$fedited by Md. Shahriare Satu, Mohammad Ali Moni, M. Shamim Kaiser, Mohammad Shamsul Arefin 205 $a1st ed. 2023. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2023. 215 $a1 online resource (597 pages) 225 1 $aLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering,$x1867-822X ;$v490 311 08$aPrint version: Satu, Shahriare Machine Intelligence and Emerging Technologies Cham : Springer,c2023 9783031346187 327 $aImaging 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. 330 $aThe two-volume set LNICST 490 and 491 constitutes the proceedings of the First International Conference on Machine Intelligence and Emerging Technologies, MIET 2022, hosted by Noakhali Science and Technology University, Noakhali, Bangladesh, during September 23?25, 2022. The 104 papers presented in the proceedings were carefully reviewed and selected from 272 submissions. This book focuses on theoretical, practical, state-of-art applications, and research challenges in the field of artificial intelligence and emerging technologies. It will be helpful for active researchers and practitioners in this field. These papers are organized in the following topical sections: imaging for disease detection; pattern recognition and natural language processing; bio signals and recommendation systems for wellbeing; network, security and nanotechnology; and emerging technologies for society and industry. 410 0$aLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering,$x1867-822X ;$v490 606 $aComputer networks 606 $aComputer systems 606 $aSoftware engineering 606 $aComputer programming 606 $aComputer Communication Networks 606 $aComputer System Implementation 606 $aSoftware Engineering 606 $aProgramming Techniques 615 0$aComputer networks. 615 0$aComputer systems. 615 0$aSoftware engineering. 615 0$aComputer programming. 615 14$aComputer Communication Networks. 615 24$aComputer System Implementation. 615 24$aSoftware Engineering. 615 24$aProgramming Techniques. 676 $a006.3 676 $a006.3 700 $aSatu$b Shahriare$01368816 701 $aMoni$b Mohammad Ali$01368817 701 $aKaiser$b M. Shamim$01358312 701 $aArefin$b Mohammad Shamsul$01368818 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910731467103321 996 $aMachine Intelligence and Emerging Technologies$93394835 997 $aUNINA