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[null,"1.","Record Nr.",null,"UNINA9910765846903321"]
[null,null,"Titolo",null,"The e-Government Development Discourse"]
[null,null,"Pubbl/distr/stampa",null,"Durbanville, : AOSIS, 2018"]
[null,null,"ISBN",null,"9781928396574"]
[null,null,"Descrizione fisica",null,"1 online resource (326)"]
[null,null,"Soggetti",null,"Politics & government"]
[{"$nulls":4},"Information technology: general issues"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Sommario/riassunto","research agenda for e-Government. When e-Government was first conceived, it was designed upon basic technologies where the emphasis was only on the simple display of government information for citizens to read. Nowadays, e-Government design comprises many complicated modules such as upload and download consoles, two-way interaction consoles between citizens and government agents, integrated government business processes presenting the whole of government, and it does not depend solely on technology. The complexity of e-Government has now evolved to include political, cultural, economic, social and technical dimensions. Bringing all these difficult aspects together is so complicated that it needs carefully planned strategies informed by local contextual characteristics. \n\nRather than giving formulaic definitions and conceptual standpoints on many aspects of e-Government, as is the case in many e-Government publications, this book will explore the frontiers of global knowledge value chains by discussing current and future dimensions of e-Government. For example, the book discusses the concept of data governance by exploring how actual opening up of government data can be achieved, especially in a developing world context. Further, the book posits that opening government data should be followed by the opening up of government business processes in order to peddle the concept of accountability and responsiveness. Much text on data governance has concentrated on articulating the basic definitions surrounding this concept. Another very important topic explored in this "]
[{"$nulls":4},"book is regarding how the concept of decolonisation can be extended to e-Government by providing practical examples as to how researchers in the developing world can contribute to the advancement of e-Government as a scientific field of enquiry and guide its implementation, thereof. Decolonisation is advocated for in e-Government research so that there is a balance in the inclusion of the Afrocentric knowledge into e-Government advancement other than over-reliance on the Euro-, Asia- and America-centric knowledge value chains (Mbembe 2015). \n\nAs e-Government is a very expensive undertaking, the issue of funding has excluded African countries and a majority of the developing world from implementing e-Government. Despite funding being a critical cornerstone of e-Government development, there is a dearth of information on this topic. Therefore, this book provides a chapter which discusses traditional and innovative ways of funding e-Government design and implementation which can go a long way in improving e-Government penetration into the developing world. Further, the book explores how intelligent e-Government applications can be designed, especially in resource-constrained countries. A couple of emerging technology innovations such as fog computing and intelligent information technology are explored within the realm of e-Government design."]
[null,"2.","Record Nr.",null,"UNINA9911011772903321"]
[null,null,"Autore",null,"Maglogiannis Ilias"]
[null,null,"Titolo",null,"Artificial Intelligence Applications and Innovations : 21st IFIP WG 12.5 International Conference, AIAI 2025, Limassol, Cyprus, June 26–29, 2025, Proceedings, Part I / / edited by Ilias Maglogiannis, Lazaros Iliadis, Andreas Andreou, Antonios Papaleonidas"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025"]
[null,null,"ISBN",null,"3-031-96239-7"]
[null,null,"Edizione",null,"[1st ed. 2025.]"]
[null,null,"Descrizione fisica",null,"1 online resource (749 pages)"]
[null,null,"Collana",null,"IFIP Advances in Information and Communication Technology, , 1868-422X ; ; 755"]
[null,null,"Disciplina",null,"004"]
[null,null,"Soggetti",null,"Computer science"]
[{"$nulls":4},"Artificial intelligence"]
[{"$nulls":4},"Computer Science"]
[{"$nulls":4},"Artificial Intelligence"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"-- A Multi-Agent System Approach for Dynamic and Adaptive Daily Profile Detection in Building Data.  -- Agile MLOps: Bridging the Gap Between Agility and Machine Learning Operations.  -- Artificial Intelligence in Finnish and Swedish Workflows: A Comparative Survey of Micro- and Large-Scale Enterprises.  -- Clustering by Limit-Cycles in Hopfield Neural Network.  -- Enhancing Ransomware Detection Using Storage Access Pattern.  -- Fault Detection in Inverter-Driven Permanent Magnet Synchronous Motor Systems using Semi-Supervised Learning.  -- Fingerprint Minutiae-Based Cryptographic Key Generation: Towards Secure and Usable Authentication.  -- Handling Anonymized Non-Numerical Features in Data using Transformations for Regression Models.  -- Higher-Order Multi-Adaptive Neural Network Modeling of the Role of Epigenetics in Epilepsy.  -- Historical Map Understanding Using End-to-end Methods.  -- ICU Mechanical Ventilation Data Imputation.  -- Immigration Detection in Multilanguage Tweets Using Machine Learning Algorithms.  -- Integrating Artificial Intelligence and Digital Tools to Enhance Learning and Accessibility in Music Education.  -- Interest-Based Pattern Mining For Deforestation Analysis in the Kroumiria Region, Tunisia.  -- Large-to-Small: Energy Consumption Reduction of Training the Fully Connected Layers.  -- Malware Detection through API Call Frequency: "]
[{"$nulls":4},"Assessing Early-Stage versus Full-Time Classification Potential.  -- Metaheuristics-based Long Short-Term Memory Optimization for Emotion Classification.  -- Multi-order Adaptive Dynamical System Modeling of the Role of Epigenetics in the Development of Hypomania.  -- Off-Policy Inspired Imitation Learning for Generation of Adversarial Malware.  -- PixelPath: Predicting UAV Trajectories in GPS-Restricted Environments Using Image Feature Extraction and Machine Learning.  -- Predicting Vessel Arrival Time Using Machine Learning for Enhanced Port Efficiency and Optimal Berth Allocation.  -- Semi-Supervised Learning for Early Certification Prediction in MOOCs.  -- So-Connect: recommending layer-wise connections in social networks using SNN-DBSCAN.  -- Time Series analysis using Memory Enhanced Liquid Neural Network.  -- A Web-Based Information System For Medical Forensics Incorporating Generative AI in Reports Compilation.  -- Explainable AI-Driven Feature Selection for Improved Intrusion Detection Systems in the Internet of Medical Things.  -- Explainable Surface-Level Malware Analysis through Scalable and Accurate Feature Selection.  -- Integrating AI and RDF Knowledge Graphs with MITRE ATT\\&CK for CTI Insights.  -- Markov-Enhanced Clustering for Long Document Summarization: Tackling the 'Lost in the Middle' Challenge with Large Language Models.  -- Merged LIME and SHAP eXplanation (MLSX): BERT case in NER Task.  -- OPJUSTICE - A Multi-label Text Classification Model.  -- SHAKTI: A 2.5 BILLION PARAMETER SMALL LANGUAGE MODEL OPTIMIZED FOR EDGE AI AND LOW-RESOURCE ENVIRONMENTS.  -- Unified Mental Health Disorder Detection on Social Media."]
[null,null,null,"Sommario/riassunto","This four-volume set constitutes the proceedings of the 21st IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2025, which was held in Limassol, Cyprus, during June 2025. The 123 full papers and 7 short papers were presented in this volume were carefully reviewed and selected from 303 submissions. They focus on ethical-moral AI aspects related to its Environmental impact, Privacy, Transparency, Bias, Discrimination and Fairness."]