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[null,"1.","Record Nr.",null,"UNISA996214899303316"]
[null,null,"Titolo",null,"Journal of labelled compounds & radiopharmaceuticals [[electronic resource]]"]
[null,null,"Pubbl/distr/stampa",null,"London ; ; New York : , : Wiley, , 1976-"]
[null,null,"ISSN",null,"1099-1344"]
[null,null,"Disciplina",null,"541"]
[null,null,"Soggetti",null,"Tracers (Chemistry)"]
[{"$nulls":4},"Radiopharmaceuticals"]
[{"$nulls":4},"Radioisotopes"]
[{"$nulls":4},"Periodical"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Periodico"]
[null,null,null,"Note generali","Refereed/Peer-reviewed"]
[null,"2.","Record Nr.",null,"UNINA9910983299003321"]
[null,null,"Autore",null,"Antonacopoulos Apostolos"]
[null,null,"Titolo",null,"Pattern Recognition : 27th International Conference, ICPR 2024, Kolkata, India, December 1–5, 2024, Proceedings, Part IV / / edited by Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025"]
[null,null,"ISBN",null,"9783031781285"]
[{"$nulls":4},"3031781287"]
[null,null,"Edizione",null,"[1st ed. 2025.]"]
[null,null,"Descrizione fisica",null,"1 online resource (0 pages)"]
[null,null,"Collana",null,"Lecture Notes in Computer Science, , 1611-3349 ; ; 15304"]
[null,null,"Disciplina",null,"006.37"]
[null,null,"Soggetti",null,"Computer vision"]
[{"$nulls":4},"Machine learning"]
[{"$nulls":4},"Computer Vision"]
[{"$nulls":4},"Machine Learning"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"DeepEMD: A Transformer-based Fast Estimation of the Earth Mover’s Distance -- Equivariant Neural Networks for TEM Virus Images Improves Data Efficiency -- AI Based Story Generation -- Deep learning models for inference on compressed signals with known or unknown measurement matrix -- Training point-based deep learning networks for forest segmentation with synthetic data -- Brain Age Estimation using Self-attention based Convolutional Neural Network -- IFSENet : Harnessing Sparse Iterations for Interactive Few-shot Segmentation Excellence -- Interpretable Deep Graph-level Clustering: A Prototype-based Approach -- A Saliency-Aware NR-IQA Method by Fusing Distortion Class Information -- A Guided Input Sampling-based Perturbative Approach for Explainable AI in Image-based Application -- Multi-target Attention Dispersion Adversarial Attack against Aerial Object Detector -- Mask-TS Net: Mask Temperature Scaling Uncertainty Calibration for Polyp Segmentation -- Label-expanded Feature Debiasing for Single Domain Generalization -- Infrared and Visible Image Fusion Based on CNN and Transformer Cross-Interaction with Semantic Modulations -- Mining Long Short-Term Evolution Patterns for Temporal Knowledge Graph Reasoning -- Rethinking Attention Gated with Hybrid Dual Pyramid Transformer-CNN for Generalized "]
[{"$nulls":4},"Segmentation in Medical Imaging -- A Weighted Discrete Wavelet Transform-based Capsule Network for Malware Classification -- Data-driven Spatiotemporal Aware Graph Hybrid-hop Transformer Network for Traffic Flow Forecasting -- Automatic Diagnosis Model of Gastrointestinal Diseases Based on Tongue Images -- TinyConv-PVT: A Deeper Fusion Model of CNN and Transformer for Tiny Dataset -- SCAD-Net: Spatial-Channel Attention and Depth-map Analysis Network for Face Anti-Spoofing -- Next Generation Loss Function for Image Classification -- NAOL: NeRF-Assisted Omnidirectional Localization -- EdgeConvFormer: an unsupervised anomaly detection method for multivariate time series -- Lighten CARAFE: Dynamic Lightweight Upsampling with Guided Reassemble Kernels -- Hand over face gesture classification with feature driven vision transformer and supervised contrastive learning -- TabSeq: A Framework for Deep Learning on Tabular Data via Sequential Ordering -- GraFix: A Graph Transformer with Fixed Attention based on the WL Kernel -- Multi-Modal Deep Emotion-Cause Pair Extraction for Video Corpus."]
[null,null,null,"Sommario/riassunto","The multi-volume set of LNCS books with volume numbers 15301-15333 constitutes the refereed proceedings of the 27th International Conference on Pattern Recognition, ICPR 2024, held in Kolkata, India, during December 1–5, 2024. The 963 papers presented in these proceedings were carefully reviewed and selected from a total of 2106 submissions. They deal with topics such as Pattern Recognition; Artificial Intelligence; Machine Learning; Computer Vision; Robot Vision; Machine Vision; Image Processing; Speech Processing; Signal Processing; Video Processing; Biometrics; Human-Computer Interaction (HCI); Document Analysis; Document Recognition; Biomedical Imaging; Bioinformatics."]
[null,"3.","Record Nr.",null,"UNINA9910151675903321"]
[null,null,"Titolo",null,"Accompagner... Guide Essentiel Pour Une Presence En Fin De Vie"]
[null,null,"Pubbl/distr/stampa",null,"Dauphin Blanc"]
[null,null,"ISBN",null,"2-89436-846-1"]
[null,null,"Descrizione fisica",null,"1 online resource (195 p.)"]
[null,null,"Collana",null,"Developpement Personnel"]
[null,null,"Soggetti",null,"Psychological aspects"]
[{"$nulls":4},"Hospice care"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Sommario/riassunto","Sur notre parcours de vie, nous aurons inevitablement a vivre le depart de certains de nos proches. L'evolution de la societe et des moeurs a conduit a une demarche qui, jusqu'a recemment, etait peu consideree: l'accompagnement aux mourants. Mais comment accompagne- t-on adequatement un proche vers la mort ? La majorite d'entre nous n'y sommes pas du tout prepares. Pour accompagner un mourant, il est judicieux d'tre inform et outill quant au processus de la mort. Grce des informations prcises et clairantes, nous serons moins pris au dpourvu devant la mort et nous aurons de meilleurs rflexes lorsqu'elle s'annoncera ou se prsentera. Nous saurons davantage quel soutien offrir une personne en fin de vie et nous comprendrons mieux ce qu'elle traverse. Par sa vaste exprience et ses connaissances acquises, Hlne Giroux est la personne toute dsigne pour nous fournier toutes les informations ncessaires pour bien accompagner l'un de nos proches mourants. Que ce soit pour des questions pratiques, comme les avantages et les inconvnients du lieu o sera vcue la fin de vie, ou des aspects psychologiques et spirituels entourant cette tape, l'auteure nous offre toutes les informations pour faire des choix clairs et les bonnes actions afin de faciliter la transition de la personne en fin de vie. Un guide essentiel pour notre poque!"]