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001463319 020__ $$a9789819916481$$q(electronic bk.)
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001463319 020__ $$z9789819916474
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001463319 0247_ $$a10.1007/978-981-99-1648-1$$2doi
001463319 035__ $$aSP(OCoLC)1376454751
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001463319 08204 $$a006.3/2$$223/eng/20230419
001463319 1112_ $$aICONIP (Conference)$$n(29th :$$d2022 :$$cOnline)
001463319 24510 $$aNeural information processing :$$b29th International Conference, ICONIP 2022, virtual event, November 22-26, 2022, proceedings.$$nPart VII /$$cMohammad Tanveer, Sonali Agarwal, Seiichi Ozawa, Asif Ekbal, Adam Jatowt, editors.
001463319 2463_ $$aICONIP 2022
001463319 264_1 $$aSingapore :$$bSpringer,$$c2023.
001463319 300__ $$a1 online resource (549 pages)
001463319 336__ $$atext$$btxt$$2rdacontent
001463319 337__ $$acomputer$$bc$$2rdamedia
001463319 338__ $$aonline resource$$bcr$$2rdacarrier
001463319 4901_ $$aCommunications in computer and information science ;$$v1794
001463319 500__ $$aIncludes author index.
001463319 5050_ $$aApplications II -- An Interpretable Multi-target Regression Method for Hierarchical Load Forecasting -- Automating Patient-Level Lung Cancer Diagnosis in Different Data Regimes -- Multi-level 3DCNN with Min-Max Ranking Loss for Weakly-supervised Video Anomaly Detection -- Automatically Generating Storylines from Microblogging Platforms -- Improving Document Image Understanding with Reinforcement Finetuning -- MSK-Net: Multi-source Knowledge Base Enhanced Networks for Script Event Prediction -- Vision Transformer-based Federated Learning for COVID-19 Detection using Chest X-ray -- HYCEDIS: HYbrid Confidence Engine for Deep Document Intelligence System -- Multi-level Network Based on Text Attention and Pose-guided for Person Re-ID -- Sketch Image Style Transfer based on Sketch Density Controlling -- VAE-AD: Unsupervised Variational Autoencoder for Anomaly Detection in Hyperspectral Images -- DSE-Net: Deep Semantic Enhanced Network for Mobile Tongue Image Segmentation -- Efficient-Nets and their Fuzzy Ensemble: An Approach for Skin Cancer Classification -- A Framework for Software Defect Prediction Using Optimal Hyper-parameters of Deep Neural Network -- Improved Feature Fusion by Branched 1-D CNN for Speech Emotion Recognition -- A Multi-modal Graph Convolutional Network for Predicting Human Breast Cancer Prognosis -- Anomaly detection in surveillance videos using transformer based attention model -- Change Detection in Hyperspectral Images using Deep Feature Extraction and Active Learning -- TeethU2Net: A Deep Learning-Based Approach for Tooth Saliency Detection in Dental Panoramic Radiographs -- The EsnTorch Library: Efficient Implementation of Transformer-Based Echo State Networks -- Wine Characterisation with Spectral Information and Predictive Artificial Intelligence -- MRCE: A Multi-Representation Collaborative Enhancement Model for Aspect-Opinion Pair Extraction -- Diverse and High-Quality Data Augmentation Using GPT for Named Entity Recognition -- Transformer-based Original Content Recovery from Obfuscated PowerShell Scripts -- A Generic Enhancer for Backdoor Attacks on Deep Neural Networks -- Attention Based Twin Convolutional Neural Network with Inception Blocks for Plant Disease Detection using Wavelet Transform -- A Medical Image Steganography Scheme with High Embedding Capacity to Solve Falling-Off Boundary Problem using Pixel Value Difference Method -- Deep Ensemble Architecture: A Region Mapping for Chest Abnormalities -- Privacy-Preserving Federated Learning for Pneumonia Diagnosis -- Towards Automated Segmentation of Human Abdominal Aorta and Its Branches Using a Hybrid Feature Extraction Module with LSTM -- p-LSTM: An explainable LSTM architecture for Glucose Level Prediction -- A Wide Ensemble of Interpretable TSK Fuzzy Classifiers with Application to Smartphone Sensor-based Human Activity Recognition -- Prediction of the Facial Growth Direction: Regression Perspective -- A Methodology for the Prediction of Drug Target Interaction using CDK Descriptors -- PSSM2Vec: A Compact Alignment-Free Embedding Approach for Coronavirus Spike Sequence Classification -- An optimized hybrid solution for IoT based lifestyle disease classification using stress data -- A Deep Concatenated Convolutional Neural Network-based Method to Classify Autism -- Deep Learning-based Human Action Recognition Framework to Assess Children on the Risk of Autism or Developmental Delays -- Dynamic Convolutional Network for Generalizable Face Anti-Spoofing -- Challenges Of Facial Micro-expression Detection and Recognition : A Survey -- Biometric Iris Identifier Recognition With Privacy Preserving Phenomenon: A Federated Learning Approach -- Traffic Flow Forecasting using Attention Enabled Bi-LSTM and GRU Hybrid Model -- Commissioning Random Matrix Theory and Synthetic Minority Oversampling Technique for Power System Faults Detection and Classification -- Deep reinforcement learning with comprehensive reward for stock trading -- Deep Learning based automobile identification application -- Automatic Firearm Detection in Images and Videos Using YOLO-based Model.
001463319 506__ $$aAccess limited to authorized users.
001463319 520__ $$aThe four-volume set CCIS 1791, 1792, 1793 and 1794 constitutes the refereed proceedings of the 29th International Conference on Neural Information Processing, ICONIP 2022, held as a virtual event, November 2226, 2022. The 213 papers presented in the proceedings set were carefully reviewed and selected from 810 submissions. They were organized in topical sections as follows: Theory and Algorithms; Cognitive Neurosciences; Human Centered Computing; and Applications. The ICONIP conference aims to provide a leading international forum for researchers, scientists, and industry professionals who are working in neuroscience, neural networks, deep learning, and related fields to share their new ideas, progress, and achievements.
001463319 588__ $$aDescription based on print version record.
001463319 650_0 $$aNeural computers$$vCongresses.
001463319 650_0 $$aNeural networks (Computer science)$$vCongresses.
001463319 655_0 $$aElectronic books.
001463319 7001_ $$aTanveer, Mohammad,$$eeditor.
001463319 7001_ $$aAgarwal, Sonali,$$eeditor.
001463319 7001_ $$aOzawa, Seiichi,$$eeditor.
001463319 7001_ $$aEkbal, Asif,$$d1977-$$eeditor.$$1https://isni.org/isni/0000000375115147
001463319 7001_ $$aJatowt, Adam,$$eeditor.
001463319 77608 $$iPrint version:$$aICONIP (Conference) (29th : 2022 : Online), creator.$$tNeural information processing : Part VII.$$dSingapore : Springer, 2023$$z9789819916474$$w(OCoLC)1374591257
001463319 830_0 $$aCommunications in computer and information science ;$$v1794.
001463319 852__ $$bebk
001463319 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-99-1648-1$$zOnline Access$$91397441.1
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001463319 980__ $$aBIB
001463319 980__ $$aEBOOK
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