La resistenza etiopica nel Lasta : dalla rivolta anti-italiana di Hailu Chebbede del 1937 alle operazioni della primavera 1939 / Gabriele Zorzetto

• Record Nr.: UNINA9910494849703321
• Autore: Zorzetto, Gabriele
• Pubbl/distr/stampa: Udine, : Gaspari, 2019
• ISBN: 978-88-7541-642-3
• Descrizione fisica: 126 p. : ill., carte geografiche ; 24 cm
• Collana: I libri dell'araba fenice
• Disciplina: 963.057
• Locazione: FSPBC
• Collocazione: XIV E 4428
• Lingua di pubblicazione: Italiano
• Formato: Materiale a stampa
• Livello bibliografico: Monografia

Acute exposure guideline levels for selected airborne chemicals . Volume 7 [[electronic resource] /] / Committee on Acute Exposure Guideline Levels, Committee on Toxicology, Board on Environmental Studies and Toxicology, Division on Earth and Life Studies, National Research Council of the National Academies

• Record Nr.: UNINA9910455376603321
• Pubbl/distr/stampa: Washington, D.C., : National Academies Press, 2009
• ISBN: 1-282-23921-X; 9786612239212; 0-309-12756-4
• Descrizione fisica: 1 online resource (251 p.)
• Collana: Acute exposure guideline levels for selected airborne chemicals
• Disciplina: 615.9
• Soggetti: Hazardous substances - Environmental aspects; Hazardous substances - Health aspects; Pollution - Environmental aspects; Pollution - Physiological effect; Pollution - Health aspects; Chemicals - Physiological effect; Chemicals - Health aspects; Air quality management; Toxicology; Electronic books.
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references.
• Nota di contenuto: ""Preface""; ""Contents""; ""National Research Council Committee Review of Acute Exposure Guideline Levels for Selected Airborne Chemicals""; ""Roster of the National Advisory Committee for Acute Exposure Guideline Levels for Hazardous Substances""; ""1 Acetone Cyanohydrin""; ""APPENDIX A DERIVATION OF AEGL VALUES FOR ACETONE CYANOHYDRIN""; ""2 Carbon Disulfide""; ""APPENDIX B ACUTE EXPOSURE GUIDELINES FOR CARBON DISULFIDE""; ""3 Monochloroacetic Acid""; ""APPENDIX A TIME-SCALING CALCULATIONS FOR AEGLS""; ""4 ; Phenol""; ""APPENDIX C ACUTE EXPOSURE GUIDELINES FOR PHENOL""

Bioinspired Systems for Translational Applications : 10th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2024, Olhâo, Portugal, June 4-7, 2024, Proceedings, Part II

• Record Nr.: UNISA996601560803316
• Autore: Ferrández Vicente José Manuel
• Pubbl/distr/stampa: Cham : , : Springer, , 2024; ©2024
• ISBN: 3-031-61137-3
• Edizione: [1st ed.]
• Descrizione fisica: 1 online resource (553 pages)
• Collana: Lecture Notes in Computer Science Series ; ; v.14675
• Altri autori (Persone): Val CalvoMikel; AdeliHojjat
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: Intro -- Preface -- Organization -- Contents - Part II -- Contents - Part I -- Machine Learning in Computer Vision and Robotics -- Unsupervised Detection of Incoming and Outgoing Traffic Flows in Video Sequences -- 1 Introduction -- 2 Methodology -- 3 Experimental Results -- 3.1 Methods -- 3.2 Datasets -- 3.3 Results -- 4 Conclusions -- References -- A Decentralized Collision Avoidance Algorithm for Individual and Collaborative UAVs -- 1 Introduction -- 2 State of Art -- 3 Methodology -- 3.1 Collision Avoidance -- 3.2 System Formation -- 4 Experiments and Results -- 5 Conclusions -- References -- Improved Surface Defect Classification from a Simple Convolutional Neural Network by Image Preprocessing and Data Augmentation -- 1 Introduction -- 2 Materials -- 2.1 The NEU Dataset -- 2.2 Image Preprocessing -- 2.3 Data Augmentation -- 3 Methodology -- 3.1 Simple Convolutional Neural Network -- 3.2 Training Strategy -- 4 Results and Discussion -- 5 Conclusions -- References -- Prediction of Optimal Locations for 5G Base Stations in Urban Environments Using Neural Networks and Satellite Image Analysis -- 1 Introduction -- 2 Methodology -- 2.1 Segmentation of ; Satellite Images -- 2.2 Base Station Deployment -- 3 Experiments -- 3.1 Convolutional Neural Networks -- 3.2 Dataset -- 3.3 Evaluation -- 3.4 Results -- 4 Conclusions -- References -- Enhanced Cellular Detection Using Convolutional Neural Networks and Sliding Window Super-Resolution Inference*-6pt -- 1 Introduction -- 2 Methodology -- 3 Experiments -- 3.1 Dataset -- 3.2 Super-Resolution Model -- 3.3 Object Detection Models -- 3.4 Results -- 4 Conclusions and Future Lines -- References -- Exploring Text-Driven Approaches for Online Action Detection -- 1 Introduction -- 2 Related Works -- 2.1 Online Action Detection -- 2.2 Vision-Language Models -- 3 Methodology -- 4 Experiments.; 4.1 Experimental Setup -- 4.2 Zero-Shot/Few-Shot Action Detection -- 4.3 Comparison with State-of-the-Art Methods -- 5 Conclusion -- References -- Deep Learning for Assistive Decision-Making in Robot-Aided Rehabilitation Therapy -- 1 Introduction -- 2 Materials and Methods -- 2.1 Subjects -- 2.2 Experimental Setup and Data Collection -- 2.3 Data Processing -- 2.4 Model Architecture -- 3 Results and Discussion -- 4 Conclusion -- References -- Text-Driven Data Augmentation Tool for Synthetic Bird Behavioural Generation -- 1 Introduction -- 2 Related Works -- 2.1 Birds Datasets -- 2.2 Generative Models -- 3 Synthetic Video Generation -- 3.1 Enhancing Captions -- 3.2 Generative Video Models -- 4 Results -- 5 Conclusions -- References -- Deep Learning for Enhanced Risk Assessment in Home Environments -- 1 Introduction -- 2 Related Work -- 2.1 Risks Assessment -- 2.2 Object Detection -- 2.3 Video Captioning -- 3 Methodology -- 3.1 Objects Extraction -- 3.2 Risks Identification -- 4 Experiments -- 4.1 Setup and Data -- 4.2 Results -- 5 Conclusion -- References -- Lightweight CNNs for Advanced Bird Species Recognition on the Edge -- 1 Introduction -- 2 Related Works -- 2.1 Bird Species Recognition -- 2.2 Edge Computing -- 3 Methodology -- 3.1 Datasets -- 3.2 Training -- 4 Experiments -- 4.1 Setup -- 4.2 Results -- 5 Conclusion -- References -- Learning Adaptable Utility Models for Morphological Diversity -- 1 Introduction -- 2 Motivational System for Open-Ended Learning -- 2.1 Novelty-Based Intrinsic Motivation. Enhancing Exploration -- 2.2 Frustration-Based Intrinsic Motivation. Preventing Learning Stagnation -- 3 Deliberative Decision-Making with World and Utility Models -- 3.1 World Model Learning -- 3.2 Utility Model Learning -- 4 Experimental Setup: EMERGE Robot -- 5 Experimental Results -- 6 Conclusion -- References.; Deep Learning-Based Classification of Invasive Coronary Angiographies with Different Patch-Generation Techniques -- 1 Introduction -- 2 Methodology -- 2.1 Dataset -- 2.2 Data Preprocessing -- 3 Experimental Results -- 3.1 Training and Experiments Description -- 3.2 Results -- 4 Conclusions -- References -- Bio-inspired Computing Approaches -- Refinement of Protein Structures with a Memetic Algorithm. Examples with SARS-CoV-2 Proteins -- 1 Introduction -- 2 Methods -- 2.1 Rosetta Relax Process -- 2.2 Relax-DE -- 3 Results -- 3.1 Setup of the Refinement Approaches -- 3.2 Refinement of Predicted Structures -- 4 Conclusions -- References -- Evolutionary Algorithms for Bin Packing Problem with Maximum Lateness and Waste Minimization -- 1 Introduction -- 2 Problem Definition -- 3 The Solution Method -- 4 Evolutionary Algorithms -- 4.1 Genetic Programming -- 4.2 Genetic Algorithm -- 5 Experimental Analysis -- 5.1 Set up -- 5.2 Results -- 6 Conclusions and Future Work -- References -- Stationary Wavelet Entropy and Cat Swarm Optimization to Detect COVID-19 -- 1 Introduction -- 2 Background -- 3 Dataset -- 4 Methodology -- 4.1 Feed-Forward Neural Network -- 4.2 Stationary Wavelet Entropy -- 4.3 Cat Swarm Optimization -- 4.4 K-Fold Cross-; Validation -- 4.5 Evaluation -- 5 Experiment and Discussion -- 5.1 Statistical Evaluation -- 5.2 Comparison to State-of-the-Art Methods -- 5.3 ROC Curve -- 6 Conclusion and Future Research -- References -- Private Inference on Layered Spiking Neural P Systems -- 1 Introduction -- 2 Related Work -- 3 Layered Spiking Neural P Systems -- 4 Private Inference -- 4.1 The Protocol -- 4.2 Security Discussion -- 5 Conclusions and Further Directions of Research -- References -- Cooperative Multi-fitness Evolutionary Algorithm for Scientific Workflows Scheduling -- 1 Introduction -- 2 The Scientific Workflow Scheduling Model.; 2.1 Workflow Scheduling Problem Overview -- 3 Overview of the Genetic Algorithm Approach -- 4 Cooperative Multi-fitness Functions Evaluation -- 5 Experimental Study -- 5.1 Benchmark Instances -- 5.2 Benchmark Platform -- 5.3 Efficiency of the Cooperative Multi-fitness Approach -- 6 Conclusion -- References -- A Genetic Approach to Green Flexible Job Shop Problem Under Uncertainty -- 1 Introduction -- 2 Problem Definition -- 3 Solving Methodology -- 4 Experimental Results -- 5 Conclusion -- References -- Social and Civil Engineering Through Human AI Translations -- AI Emmbedded in Drone Control -- 1 Introduction -- 2 Drone Operations Supported by AI Algorithms -- 2.1 Delivery Systems -- 2.2 Optimization and Complexity Associated with Cargo and Resources -- 2.3 Emergency Situations -- 2.4 Drone Identification and Detection -- 2.5 Flight Control and Safety -- 2.6 Agricultural Operations -- 3 Conclusions and Future Work -- References -- Dual-System Recommendation Architecture for Adaptive Reading Intervention Platform for Dyslexic Learners -- 1 Introduction -- 2 Materials and Methods -- 2.1 Data and Exploratory Analysis -- 2.2 Description of the Intervention Trial -- 2.3 Word Generator -- 2.4 Embedded Intra/Inter-user Recommender Engines -- 2.5 Surmounting Cold Start and Limited Data Hurdles -- 3 Results -- 4 Conclusions -- References -- Accurate LiDAR-Based Semantic Classification for Powerline Inspection -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Online Segmentation -- 3.2 Full Map Refinement -- 4 Validation -- 5 Conclusions -- References -- RESISTO Project: Automatic Detection of Operation Temperature Anomalies for Power Electric Transformers Using Thermal Imaging -- 1 Introduction -- 1.1 Introduction to the RESISTO Project -- 1.2 Mitigating Transformer Risks in Electricity Networks -- 2 Materials and Methods.; 2.1 Thermographic Data Acquisition -- 2.2 Thermal Anomalies Detection System -- 2.3 Synthetic Data Generation -- 3 Results and Discussion -- 3.1 Simulation Results -- 3.2 Registered Temperature Time Series -- 4 Conclusions -- References -- RESISTO Project: Safeguarding the Power Grid from Meteorological Phenomena -- 1 Introduction -- 1.1 Objectives -- 1.2 Project Innovations -- 2 Proposed Solution -- 2.1 Electrical Resilience Platform: GridWatch -- 2.2 Automatic Detection of Operation Temperature Anomalies Using Thermal Imaging -- 2.3 Fleet of Drones -- 3 Discussion -- 4 Conclusions -- References -- Multi-UAV System for Power-Line Failure Detection Within the RESISTO Project -- 1 Introduction -- 2 System Description -- 2.1 Planner Description -- 2.2 Software Implementation -- 2.3 Hardware Implementation -- 3 Validation -- 3.1 Planning Approach Simulation -- 3.2 Test Flights -- 4 Conclusions and Future Works -- References -- Smart Renewable Energies: Advancing AI Algorithms in the Renewable Energy Industry -- Machine Learning Health Estimation for Lithium-Ion Batteries Under Varied Conditions -- 1 Introduction -- 2 Methods -- 2.1 Experimental Design and Data Processing -- 3 Results and Discussion -- 4 Conclusions -- References -- Energy Flux Prediction Using an Ordinal Soft Labelling Strategy -- 1 ; Introduction -- 2 Data Description and Processing -- 2.1 Buoys Measurements and Reanalysis Data -- 2.2 Obtaining Ordinal Labels -- 3 Experimental Settings -- 3.1 Compared Methodologies -- 3.2 Model Training -- 4 Results and Discussion -- 5 Conclusions -- References -- Medium- and Long-Term Wind Speed Prediction Using the Multi-task Learning Paradigm -- 1 Introduction -- 2 Data Description -- 2.1 Wind Speed Data -- 2.2 Predictive Variables -- 3 Multi-task Artificial Neural Networks -- 4 Experimental Settings -- 5 Results and Discussion -- 6 Conclusions.; References.

Bulgarien 1300 : Referate der Sektion "Sprache und Literatur" des Symposiums "Bulgarien in Geschichte und Gegenwart", Hamburg, 9.-17. 9. 1981 / Peter Hill

• Record Nr.: UNINA9910563033903321
• Autore: Hill Peter M. <1945-, >
• Pubbl/distr/stampa: Frankfurt a.M, : PH02, 1982
• Edizione: [1st, New ed.]
• Descrizione fisica: 1 online resource (97 p.) : , EPDF
• Collana: Slavistische Beiträge ; 155
• Soggetti: Literature & literary studies
• Lingua di pubblicazione: Tedesco
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Peter Lang GmbH, Internationaler Verlag der Wissenschaften
• Nota di contenuto: Duridanov, Iv.: Hauptprobleme der Geschichte der bulgarischen Sprache - Hill, P.: Die Entwicklung der bulgarischen Schriftsprache zur Standardsprache - Kattein, R.: Eine neue Modaltheorie und ihre Anwendung auf das Bulgarische - Moskov, M.: Die protobulgarischen Sprachreste im Gegenwartsbulgarischen - Nicolova, R.: Die Spezifik der bulgarischen Pronomen - Schmücker, A.: Bemerkungen zur Genese der bulgarischrussischen literarischen Wechselseitigkeit im Mittelalter
• Sommario/riassunto: Vom 9.-17. Mai 1981 führten in Hamburg die Clemens-von-Ohrid Universität Sofia und die Universität Hamburg aus Anlaß des 1300. Jahrestags der Gründung des 1. Bulgarischen Staates eine "bulgarische Woche" durch. In der Sektion "Sprache und Literatur" sprachen vier Wissenschaftler der Clemens-von-Ohrid-Universität und drei von der ; Universität Hamburg. Die Texte der Referate legen hier vor, auch um sie über Hamburg hinaus bekannt zu machen.