The philosophy of order : essays on history, consciousness and politics [for Eric Voegelin on his 80th birthday, January 3, 1981] / edited by Peter J. Opitz and Gregor Sebba

• Record Nr.: UNISA990005585490203316
• Pubbl/distr/stampa: Stuttgart : Klett-Cotta, 1981
• Edizione: [1. Aufl]
• Descrizione fisica: 491 p. ; 23 cm
• Disciplina: 320.01
• Soggetti: Filosofia politica - Sec. 20; VOEGELIN, ERIC
• Collocazione: CC 320.01 PHI
• Lingua di pubblicazione: Tedesco
• Formato: Materiale a stampa
• Livello bibliografico: Monografia

Georgia : : Detailed Assessment Report on Anti-Money Laundering and Combating the Financing of Terrorism

• Record Nr.: UNINA9910969866703321
• Pubbl/distr/stampa: Washington, D.C. : , : International Monetary Fund, , 2013
• ISBN: 9781475597530; 1475597533; 9781475534276; 1475534272; 9781475552935; 1475552939
• Edizione: [1st ed.]
• Descrizione fisica: 1 online resource (469 p.)
• Collana: IMF Staff Country Reports
• Disciplina: 332.152
• Soggetti: Money laundering - Georgia (Republic); Terrorism - Finance - Georgia (Republic); Anti-money laundering and combating the financing of terrorism (AML/CFT); Banking; Banks and Banking; Banks and banking; Banks; Corporate crime; Crime & criminology; Crime; Crime--Economic aspects; Criminology; Depository Institutions; Illegal Behavior and the Enforcement of Law; Legal support in revenue administration; Micro Finance Institutions; Money laundering; Mortgages; Public finance & taxation; Public Finance; Revenue administration; Revenue; Taxation, Subsidies, and Revenue: General; Terrorism financing; White-collar crime; Georgia
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di contenuto: Cover; Contents; ACRONYMS; Preface; Executive Summary; Key Findings; Legal Systems and Related Institutional Measures; Preventive Measures-Financial Institutions; Preventive Measures-Designated Non-Financial Businesses and Professions; Legal Persons and Arrangements & Non-Profit Organizations; National and International Cooperation; 1. GENERAL; 1.1. General Information on Georgia; 1.2. General Situation of Money Laundering and Financing of Terrorism; 1.3. Overview of the Financial Sector; 1.4. Overview of the DNFBP Sector; 1.5. Overview of commercial laws and mechanisms governing legal persons and arrangements1.6. Overview of Strategy to Prevent Money Laundering and Terrorist Financing; 1.7. Progress Since the Last Mutual Evaluation; 2. LEGAL SYSTEM AND RELATED INSTITUTIONAL MEASURES; 2.1. Criminalization of Money Laundering (R.1 and 2); 2.1.1. Description and Analysis; 2.1.2. Recommendations and Comments; 2.1.3. Compliance with Recommendations 1 and 2; 2.2. Criminalization of Terrorist Financing (SR.II); 2.2.1. Description and Analysis; 2.2.2. Recommendations and Comments; 2.2.3. Compliance with Special Recommendation II2.3. Confiscation, Freezing and Seizing of Proceeds of Crime (R.3); 2.3.1. Description and Analysis; 2.3.2. Recommendations and Comments; 2.3.3. Compliance with Recommendation 3; 2.4. Freezing of Funds Used for Terrorist Financing (SR.III); 2.4.1. Description and Analysis; 2.4.2. Recommendations and Comments; 2.4.3. Compliance with Special Recommendation III; 2.5. The Financial Intelligence Unit and its Functions (R.26); 2.5.1. Description and Analysis; 2.5.2. Recommendations and Comments; 2.5.3. Compliance with Recommendation 26; 2.6. Law enforcement, Prosecution and Other Competent Authorities-the Framework for the Investigation and Prosecution of Offenses, and for Confiscation and Freezing (R.27 & 28)2.6.1. Description and Analysis; 2.6.2. Recommendations and Comments; 2.6.3. Compliance with Recommendations 27 & 28; 2.7. Cross-Border Declaration or Disclosure (SR.IX); 2.7.1. Description and Analysis; 2.7.2. Recommendations and Comments; 2.7.3. Compliance with Special Recommendation IX; 3. PREVENTIVE MEASURES-FINANCIAL INSTITUTIONS; 3.1. Risk of Money Laundering or Terrorist Financing; 3.2. Customer Due Diligence, Including Enhanced or Reduced Measures (R.5 to 8)3.2.1. Description and Analysis; 3.2.2. Recommendations and Comments; 3.2.3. Compliance with Recommendations 5; 3.2.4. Recommendations and Comments; 3.2.5. Compliance with Recommendations 6 to 8; 3.3. Recommendation 9-Third Parties and Introduced Business; 3.3.1. Description and Analysis; 3.3.2. Recommendations and Comments; 3.3.3. Compliance with Recommendation 9; 3.4. Financial Institution Secrecy or Confidentiality (R.4); 3.4.1. Description and Analysis; 3.4.2. Recommendations and Comments; 3.4.3. Compliance with Recommendation 4
• Sommario/riassunto: The Georgian antimoney laundering (AML) and combating the financing of terrorism (CFT) regime has significantly improved since 2007. However, technical deficiencies, poor implementation, and limited resources undermine the effectiveness of the financial intelligence unit (FIU) and AML/CFT supervision. The country has a comprehensive legal framework in place criminalizing both ML and FT as autonomous offenses and no shortcomings have been identified. It has also established a framework to implement the relevant United Nations Security Council Resolutions (UNSCRs).

Explainable Artificial Intelligence : Third World Conference, xAI 2025, Istanbul, Turkey, July 9–11, 2025, Proceedings, Part V / / edited by Riccardo Guidotti, Ute Schmid, Luca Longo

• Record Nr.: UNINA9911046009003321
• Autore: Guidotti Riccardo
• Pubbl/distr/stampa: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026
• ISBN: 3-032-08333-8
• Edizione: [1st ed. 2026.]
• Descrizione fisica: 1 online resource (603 pages)
• Collana: Communications in Computer and Information Science, , 1865-0937 ; ; 2580
• Altri autori (Persone): SchmidUte; LongoLuca
• Disciplina: 006.3
• Soggetti: Artificial intelligence; Natural language processing (Computer science); Application software; Computer networks; Artificial Intelligence; Natural Language Processing (NLP); Computer and Information Systems Applications; Computer Communication Networks
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: Applications of XAI -- Global Explanations of Expected Goal Models in Football -- Comprehensive Explanations Using Natural Language Queries -- A Human-in-the-Loop Approach to Learning Social Norms as Defeasible Logical Constraints -- A Cautionary Tale About ''Neutrally'' Informative AI Tools Ahead of the 2025 Federal Elections in Germany -- Human-Centered XAI & Argumentation -- Evaluating Argumentation Graphs as Global Explainable Surrogate Models for Dense Neural Networks and their Comparison with Decision Trees -- Mind the XAI Gap: A Human-Centered LLM Framework for Democratizing Explainable AI -- Explanations for Medical Diagnosis Predictions Based on Argumentation Schemes -- Spectral Occlusion - Attribution Beyond Spatial Relevance Heatmaps -- Non-experts' Trust in XAI is Unreasonably High -- Explainable and Interactive Hybrid Decision Making -- Exploring Annotator Disagreement in Sexism Detection: Insights from Explainable AI -- Can You Regulate Your Emotions? An Empirical Investigation of the Influence of AI Explanations and Emotion Regulation on Human Decision-Making Factors -- When Bias Backfires: The Modulatory Role of Counterfactual Explanations on the Adoption of Algorithmic Bias in XAI-Supported Human Decision-Making -- Understanding Disagreement Between Humans and Machines in XAI: Robustness, Fidelity, and Region-Based Explanations in Automatic Neonatal Pain Assessment -- On Combining Embeddings, Ontology and LLM to Retrieve Semantically Similar Quranic Verses and Generate their Explanations -- Uncertainty in Explainable AI -- Improving Counterfactual Truthfulness for Molecular Property Prediction through Uncertainty Quantification -- Fast Calibrated Explanations: Efficient and Uncertainty-Aware Explanations for Machine Learning Models -- Explaining Low Perception Model Competency with High-Competency Counterfactuals -- Uncertainty Propagation in XAI: A Comparison of Analytical and Empirical Estimators.
• Sommario/riassunto: This open access five-volume set constitutes the refereed proceedings of the Second World Conference on Explainable Artificial Intelligence, xAI 2025, held in Istanbul, Turkey, during July 2025. The 96 revised full papers presented in these proceedings were carefully reviewed and selected from 224 submissions. The papers are organized in the following topical sections: Volume I: Concept-based Explainable AI; human-centered Explainability; explainability, privacy, and fairness in trustworthy AI; and XAI in healthcare. Volume II: Rule-based XAI systems & actionable explainable AI; features importance-based XAI; novel post-hoc & ante-hoc XAI approaches; and XAI for scientific discovery. Volume III: Generative AI meets explainable AI; Intrinsically interpretable explainable AI; benchmarking and XAI evaluation measures; and XAI for representational alignment. Volume IV: XAI in computer vision; counterfactuals in XAI; explainable sequential decision making; and explainable AI in finance & legal frameworks for XAI technologies. Volume V: Applications of XAI; human-centered XAI & argumentation; explainable and interactive hybrid decision making; and uncertainty in explainable AI.

Pro Processing for Images and Computer Vision with OpenCV : Solutions for Media Artists and Creative Coders / / by Bryan WC Chung

• Record Nr.: UNINA9910254570303321
• Autore: Chung Bryan WC
• Pubbl/distr/stampa: Berkeley, CA : , : Apress : , : Imprint : Apress, , 2017
• ISBN: 1-4842-2775-1
• Edizione: [1st ed. 2017.]
• Descrizione fisica: 1 online resource (XV, 293 p. 211 illus., 177 illus. in color.)
• Disciplina: 006.6
• Soggetti: Computer graphics; Optical data processing; Computer games—Programming; Pattern perception; Computer Graphics; Image Processing and Computer Vision; Game Development; Pattern Recognition
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Includes index.
• Nota di contenuto: 1. Getting Started with Processing and OpenCV -- 2. Image Sources and Representations -- 3. Pixel-Based Manipulation -- 4. Geometry and Transformation -- 5. Identification of Structure -- 6. Understanding Motion -- 7. Feature Detection and Matching -- 8. Application Deployment and Conclusion.
• Sommario/riassunto: Apply the Processing language to tasks involved in computer vision--tasks such as edge and corner detection, recognition of motion between frames in a video, recognition of objects, matching of feature points and shapes in different frames for tracking purposes, and more. You will manipulate images through creative effects, geometric transformation, blending of multiple images, and so forth. Examples are provided. Pro Processing for Images and Computer Vision with OpenCV is a step-by-step training tool that guides you through a series of worked examples in linear order. Each chapter begins with a basic demonstration, including the code to recreate it on your own system. Then comes a creative challenge by which to engage and ; develop mastery of the chapter’s topic. The book also includes hints and tips relating to visual arts, interaction design, and industrial best practices. This book is intended for any developer of artistic and otherwise visual applications, such as in augmented reality and digital effects, with a need to manipulate images, and to recognize and manipulate objects within those images. The book is specifically targeted at those making use of the Processing language that is common in artistic fields, and to Java programmers because of Processing’s easy integration into the Java programming environment. What You'll Learn: Make use of OpenCV, the open source library for computer vision in the Processing environment Capture live video streams and examine them frame-by-frame for objects in motion Recognize shapes and objects through techniques of detecting lines, edges, corners, and more Transform images by scaling, translating, rotating, and additionally through various distortion effects Apply techniques such as background subtraction to isolate motion of objects in live video streams Detect and track human faces and other objects by matching feature points in different images or video frames.

Pervasive Computing Technologies for Healthcare : 16th EAI International Conference, PervasiveHealth 2022, Thessaloniki, Greece, December 12-14, 2022, Proceedings / / edited by Athanasios Tsanas, Andreas Triantafyllidis

• Record Nr.: UNINA9910731459703321
• Autore: Tsanas Athanasios
• Pubbl/distr/stampa: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
• ISBN: 3-031-34586-X
• Edizione: [1st ed. 2023.]
• Descrizione fisica: 1 online resource (701 pages)
• Collana: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, , 1867-822X ; ; 488
• Altri autori (Persone): TriantafyllidisAndreas
• Disciplina: 610.2854
• Soggetti: Medical care; Microprogramming; Computers; Computer networks; Health Care; Control Structures and Microprogramming; Computer Hardware; Computer Communication Networks
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: Personal Informatics and Wearable Devices: Robust Respiration Sensing Based on Wi-Fi Beamforming -- Heart Rate During Sleep Measured Using Finger-, Wristand Chest-Worn Devices: A Comparison Study -- A Low-Cost Wearable System to Support Upper Limb Rehabilitation in Resource-Constrained Settings -- Computer Vision: Multiclass Semantic Segmentation of Mediterranean Food Images -- Comparative Study of Machine Learning Methods on Spectroscopy Images for Blood Glucose Estimation -- Classification of Kidney Tumor grading on Preoperative Computed Tomography Scan -- IoT-HR: Internet of Things in Health Research: An IoT-based system for the study of neuropathic pain in spinal cord injury -- IoT smart shoe solution for neuromuscular disease monitoring -- Compliance and Usability of an Asthma Home Monitoring System -- Assessing Older Adult’s Gait Speed with Wearable Accelerometers in Community Settings: Validity and Reliability Study -- Healthcare Based on IoT using Arduino, MPU6050 accelerometer and gyroscope sensor and FSR-174 strain gauge for fatigue assessment -- Smartphone-based strategy for Quality-of-Life monitoring in head and neck cancer survivors -- Pervasive Health for COVID-19: COVID-19 Classification Algorithm based on Privacy Preserving Federated Learning -- Flattening the Curve through Reinforcement Learning riven Test and Trace Policies -- Connecting Self-reported COVID-19 Needs with Social Determinants of Health -- Machine Learning, Human Activity Recognition and Speech Recognition: Up-Sampling Active Learning: An Activity Recognition Method for Parkinson’s Disease Patients -- Your Day in Your Pocket: Complex Activity Recognition from Smartphone Accelerometers -- Research on Passive Assessment of Parkinson’s Disease Utilising Speech Biomarkers -- Millimeter Wave Radar Sensing Technology for Filipino Sign Language Recognition -- Dehydration Scan: An Artificial Intelligence Assisted Smartphone-based System for Early Detection of Dehydration -- Software Frameworks and Interoperability: Experiencer: An Open-source Context-Sensitive Wearable Experience Sampling Tool -- BONVITA: Enabling integrated self-care for improving chronic patient’s wellbeing -- Data Analytics For Health and Connected Care: Ontology, Knowledge Graph and Applications -- Health data semantics: Exploring requirements for sustainable health systems -- Facial Recognition, Gesture Recognition and Object Detection -- A quantitative comparison of manual vs. automated facial coding using real life observations of fathers -- Knowledge-Driven Dialogue and Visual Perception for Smart OR -- MM4Drone: A Multi-Spectral Image and MmWave Radar Approach for Identifying MosquitoBreeding Grounds via Aerial Drones -- Machine Learning, Predictive Models and Personalised Healthcare: Spatio-temporal Predictive Modeling for Placement of Substance Use Disorder Treatment Facilities in the Midwestern U.S -- Linking data collected from mobile phones with disease level in Parkinson’s. Data exploration of the mPower study -- An Exploratory Study of the Value of Vital Signs on the Short-term Prediction of Subcutaneous Glucose Concentration in Type 1 Diabetes – The GlucoseML Study -- Less Is More: Leveraging Digital Behavioral Markers for Real-Time Identification of Loneliness in Resource-Limited Settings -- Toward Understanding Users’ Interactions with a Mental ; Health App: An Association Rule Mining Approach -- Application of Shapley Additive Explanation towards Determining Personalized Triage from Health Checkup Data -- Human-Centred Design of Pervasive Health Solutions: Dance Mat Fun - A Participatory Design of Exergames for Children with Disabilities -- Designing hearing aids to mitigate perceived stigma associated with hearing impairment -- Demands on User Interfaces for People with Intellectual Disabilities, their Requirements, and Adjustments -- A Rule Mining and Bayesian Network Analysis to Explore the Link Between Depression and Digital Behavioral Markers of Games App Usage -- mHealth for Medication and Side Effect Monitoring: Pa-tients’ Attitudes Toward Smart Devices for Managing Oral Chemotherapy during Lung Cancer Treatment -- Exploring the Design Space of Technological Interventions for Menopause: A Systematic Review -- Personalized Healthcare: Understanding barriers of missing data in Personal Informatics Systems -- ”I have to do something about it” - An Exploration of How Dashboards Invoke Self-Reflections in Chronic Obstructive Pulmonary DiseasePatients -- Design of a social chatbot with gamification for user profiling and smoking trigger detection -- Specification of Quality of Context Requirements for Digital Phenotyping Applications -- Patient Data Work with Consumer Self-Tracking: Exploring Affective and Temporal Dimensions in Chronic Self-Care -- Personalizing mHealth Persuasive Interventions for Physical Activity_the Impact of Personality on the Determinants of Physical Activity.
• Sommario/riassunto: This book constitutes the refereed proceedings of the 16th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2022, which took place in Thessaloniki, Greece, in December 2022. The 45 full papers included in this volume were carefully reviewed and selected from 120 submissions. The papers are organized in the following topical sections: personal informatics and wearable devices; computer vision; IoT-HR: Internet of things in health research; pervasive health for COVID-19; machine learning, human activity recognition and speech recognition; software frameworks and interoperability; facial recognition, gesture recognition and object detection; machine learning, predictive models and personalised healthcare; human-centred design of pervasive health solutions; personalized healthcare.