LEADER 01504nam 2200493 a 450 001 9910449919803321 005 20200520144314.0 010 $a0-8262-6411-5 035 $a(CKB)1000000000001966 035 $a(OCoLC)55663973 035 $a(CaPaEBR)ebrary10048211 035 $a(SSID)ssj0000135232 035 $a(PQKBManifestationID)11132402 035 $a(PQKBTitleCode)TC0000135232 035 $a(PQKBWorkID)10057174 035 $a(PQKB)10861535 035 $a(MiAaPQ)EBC3570750 035 $a(Au-PeEL)EBL3570750 035 $a(CaPaEBR)ebr10048211 035 $a(EXLCZ)991000000000001966 100 $a20020603d2002 ub 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt 182 $cc 183 $acr 200 14$aThe day I fired Alan Ladd and other World War II adventures$b[electronic resource] /$fA.E. Hotchner 210 $aColumbia $cUniversity of Missouri Press$dc2002 215 $a1 online resource (143 p.) 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a0-8262-1432-0 606 $aWorld War, 1939-1945$vPersonal narratives, American 608 $aElectronic books. 615 0$aWorld War, 1939-1945 676 $a940.54/4973/092 676 $aB 700 $aHotchner$b A. E$0324162 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910449919803321 996 $aThe day I fired Alan Ladd and other World War II adventures$91947872 997 $aUNINA LEADER 06498nam 22007215 450 001 9911021960803321 005 20250825130210.0 010 $a9783031905803 024 7 $a10.1007/978-3-031-90580-3 035 $a(CKB)40420195000041 035 $a(MiAaPQ)EBC32271490 035 $a(Au-PeEL)EBL32271490 035 $a(DE-He213)978-3-031-90580-3 035 $a(EXLCZ)9940420195000041 100 $a20250825d2025 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aParadigm Shifts in Communication, Embedded Systems, Machine Learning, and Signal Processing $eThird International Conference, PCEMS 2024, Nagpur, India, November 11?12, 2024, Revised Selected Papers, Part I /$fedited by Deep Gupta, Vipin Kamble, Vishal Satpute, Ashwin Kothari 205 $a1st ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025. 215 $a1 online resource (647 pages) 225 1 $aCommunications in Computer and Information Science,$x1865-0937 ;$v2490 311 08$a9783031905797 327 $aTiny-YOLOv3 and SSD: Performance Evaluation for Human Detection in Crowded Images Under Various Conditions -- Optimizing Ultra-Wideband Antenna Design Using Deep Learning Models: A Comparative Study of DBN-ELM and PSO-DBN Approaches -- A Comprehensive Analysis and Recommendations for Fusion of Feature Vectors -- Adaptive Tactile Therapy system for children with Autism Spectrum Disorder -- Spam Detection: A Binary Classification Approach in Machine Learning -- Hospital Patient Monitoring and Fall Prediction System Using Medical Intranet of Things (MIoT) -- Predicting Mortality Rates: A Regression Approach -- Deployment of MobileNet SSD Model for Real-time Autonomous Waste Detection and Collection -- Clustering analysis of high-tech startups using machine learning -- AI Enhanced Drug Recommendation System for Women -- Detection algorithms for fast moving targets in FMCW based Radar -- Improvement of Iconicity in Signed and Spoken Vocabulary through Convolutional Neural Network -- Predicting Diamond Prices Using Regression in Machine Learning -- Localizing and Classifying Kannada Texts Using a YOLO-Based Approach -- Improved DeHazing using novel CycleGAN algorithm -- Classification of Heart Sound Signals using Spectral Features for Diagnosis of Heart Abnormality -- Classification of Marine Organisms Using Deep Learning Method -- Enhanced Human Decision-Making Model for Iowa Gambling Task -- Iterative Sparse Inverse Covariance Estimation for Enhanced Skin Cancer Classification using VGG-19 with Batch Normalization -- Multi-modal based Sentiment Analysis Web Application using Flask and Deep Learning Models -- Enhancing Accuracy & Efficiency Analysis for Emotion detection & Prediction using Deep Learning model -- Devnagari Sign Language Recognition with LSTM-based RNN -- Convolutional Recurrent Neural Network Architecture for Firewall Anomaly Detection -- Enhancing Ear Detection for Biometric Systems Using YOLOv9 -- Automatic Sporadic colonic hamartoma characterisation using Narrow Band Imaging Colonoscopy -- Deep Learning-Based Classification of Hyperplastic and Adenoma Polyps -- Deep Learning-Based Rainfall-Runoff Modeling for Flood Forecasting: Case study in Krishna River -- Physiological Signal Mapping: PPG-TO-ECG Conversion using BiLSTM -- Ensemble of Machine Learning and Deep Learning for Intraday Stock Trading Decision in Quantitative Finance -- Adaptive Graph Matching for Unsupervised Person Re-Identification in Video Surveillance -- ILRSEM: Design of an Incremental Learning Model for enhancing Resource Scheduling Efficiency of Mobile Edge Deployments -- Comparative analysis of performance of different Deep architectures for histopathology image segmentation to detect liver disease -- Finger Knuckle and Fingerprint based person authentication: Siamese Networks based approach -- Hypertension detection with Machine Learning classifiers using PPG signals -- Automated Diagnosis of Coronary Artery Disease and Myocardial Infarction Using Optimal Anti-symmetric Wavelet-Based Features -- Integrating Handcrafted Textural and Deep Learning Features for Improved Multi-Class Lung Disease Classification in Computed Tomography Imaging -- Xception-Based Face Anti-Spoofing Approach for Secure Biometric Authentication -- Gesture prediction using Surface-EMG signals. 330 $aThis two-volume set CCIS 2490-2491 constitutes the refereed proceedings of the Third International Conference on Paradigm Shifts in Communication, Embedded Systems, Machine Learning, and Signal Processing, PCEMS 2024, held in Nagpur, India, during November 11?12, 2024. The 73 full papers and 17 short papers presented in this volume were carefully reviewed and selected from 330 submissions. The papers present recent research in the areas of communication, antenna, computer vison, medical image analysis, deep learning, AI based systems and applications, classification problem, embedded system and IoT, etc. 410 0$aCommunications in Computer and Information Science,$x1865-0937 ;$v2490 606 $aArtificial intelligence 606 $aComputational intelligence 606 $aInternet of things 606 $aWireless communication systems 606 $aMobile communication systems 606 $aMachine learning 606 $aArtificial Intelligence 606 $aComputational Intelligence 606 $aInternet of Things 606 $aWireless and Mobile Communication 606 $aMachine Learning 615 0$aArtificial intelligence. 615 0$aComputational intelligence. 615 0$aInternet of things. 615 0$aWireless communication systems. 615 0$aMobile communication systems. 615 0$aMachine learning. 615 14$aArtificial Intelligence. 615 24$aComputational Intelligence. 615 24$aInternet of Things. 615 24$aWireless and Mobile Communication. 615 24$aMachine Learning. 676 $a004.6 700 $aGupta$b Deep$01355712 701 $aKamble$b Vipin$01845455 701 $aSatpute$b Vishal$01845456 701 $aKothari$b Ashwin$01845457 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911021960803321 996 $aParadigm Shifts in Communication, Embedded Systems, Machine Learning, and Signal Processing$94429279 997 $aUNINA