The roles of artificial intelligence and knowledge management in emergency telecommunications

Over the past decade, the international community has recognized the substantive role modern telecommunications can play in disaster relief operations and humanitarian actions.The Tampere Convention on “Emergency Telecommunications” was an initiative to facilitate these activities, endorsed by various international conferences.The role of artificial intelligence and knowledge management in emergency telecommunications could be tremendous, with applications potentially ranging from network and workflow management to training and decision support.In the future, a greater convergence among different technologies, artificial intelligence and knowledge management included, in the service of emergency telecommunications could be foreseen, thus achieving the noble goal of utilizing modern information and communications technologies for disaster mitigation

The Role of Artificial Intelligence and Information Technology in Promoting Knowledge Management in Business Firms: A Review

Knowledge Management appears to be more advanced and sophisticated in the twenty-first century, as a result of the advancement of information technology and artificial intelligence technologies. Several academic and commercial scholars have been studying, exploring, and discussing knowledge management for a long time, owing to the importance of this topic for the success of companies in both the public and private sectors. In addition, many prominent firms throughout the world have used a variety of knowledge management methods to ensure that they remain one step ahead of their competitors in today's highly competitive business environment, including businesses that are constantly looking for methods to improve their knowledge management strategies. There have been some studies undertaken to gain a more in-depth grasp of the most recent research trend in knowledge management procedures and best practices in businesses. This subject, on the other hand, demands deeper examination from a variety of angles. The impact of using Artificial Intelligence (AI) and Information Technology (IT) concepts and techniques on the efficiency of knowledge management in modern businesses, particularly has been overlooked by many prior studies. The current study reviews the role of artificial intelligence and information technology in promoting knowledge management in business firms

Current Trend of Artificial Intelligence-Augmented Reality in Science Learning: Systematic Literature Review

Technologies enable organizations to support and improve knowledge management practices. First, it will be easier to define augmented and virtual reality concepts to better understand them. Artificial Intelligence technology enables organizations to support and improve knowledge management practices. The research aims to explain the current trend of artificial intelligence-augmented reality in science learning. A review is conducted on the state-of-the-art methods using the preferred reporting items for reviews and meta-analyses (PRISMA) guidelines. An innovation in educational technology to support learning is the existence of AI technology. Technology may speed up education when used wisely and responsibly. The development of artificial intelligence technology can help pupils become more independent. The teacher does not have to play such a dominant role, but his responsibilities are laid out in the context of offering illumination through significant keywords. The basis for every use of technology for teachers is to continue to prioritize the essence of teaching, namely managing the morale and behavior of students.    &nbsp

KNOWLEDGE MANAGEMENT IN ARTIFICIAL INTELLIGENCE BASED AUTOMATED E-MATERIAL FORMATTING TOOL

Knowledge is a critical resource for scientific, academical and technological development. In a time of fast development and growth of a massive amount of information and big data, knowledge management (KM) has a crucial role in creating knowledge from data and information. Knowledge management discipline increases its popularity among other fast-developing disciplines as Artificial Intelligence (AI). It is important to understand how fields of science and technological research and development and knowledge management integrate into each other, cooperate, and support each other. Likewise, understanding theoretical bases in the practical use of knowledge management are crucial for learning and development use. The theoretical part of the publication shortly represents knowledge management theoretical basis. It is followed by a description of the case - artificial intelligence based automated e-material formatting tool development and research accompanying the development of the tool. The result part of the publication systematically represents knowledge management aspects in the case study. There are included knowledge management aspects as components of knowledge management definition, types, theories, approaches and methods in the case study. Thereby, the publication shows the cooperation of disciplines through the scope of the case study and could be used as a sample in the study process to understand and show knowledge management and knowledge management aspects in the research and development process

Multimodality Imaging in Sarcomeric Hypertrophic Cardiomyopathy: Get It Right…on Time

Hypertrophic cardiomyopathy (HCM) follows highly variable paradigms and disease-specific patterns of progression towards heart failure, arrhythmias and sudden cardiac death. Therefore, a generalized standard approach, shared with other cardiomyopathies, can be misleading in this setting. A multimodality imaging approach facilitates differential diagnosis of phenocopies and improves clinical and therapeutic management of the disease. However, only a profound knowledge of the progression patterns, including clinical features and imaging data, enables an appropriate use of all these resources in clinical practice. Combinations of various imaging tools and novel techniques of artificial intelligence have a potentially relevant role in diagnosis, clinical management and definition of prognosis. Nonetheless, several barriers persist such as unclear appropriate timing of imaging or universal standardization of measures and normal reference limits. This review provides an overview of the current knowledge on multimodality imaging and potentialities of novel tools, including artificial intelligence, in the management of patients with sarcomeric HCM, highlighting the importance of specific "red alerts" to understand the phenotype-genotype linkage

Clinical Studies, Big Data, and Artificial Intelligence in Nephrology and Transplantation

In recent years, artificial intelligence has increasingly been playing an essential role in diverse areas in medicine, assisting clinicians in patient management. In nephrology and transplantation, artificial intelligence can be utilized to enhance clinical care, such as through hemodialysis prescriptions and the follow-up of kidney transplant patients. Furthermore, there are rapidly expanding applications and validations of comprehensive, computerized medical records and related databases, including national registries, health insurance, and drug prescriptions. For this Special Issue, we made a call to action to stimulate researchers and clinicians to submit their invaluable works and present, here, a collection of articles covering original clinical research (single- or multi-center), database studies from registries, meta-analyses, and artificial intelligence research in nephrology including acute kidney injury, electrolytes and acid–base, chronic kidney disease, glomerular disease, dialysis, and transplantation that will provide additional knowledge and skills in the field of nephrology and transplantation toward improving patient outcomes

Adopting knowledge discovery in databases for customer relationship management in egyptian public banks

We propose a framework for studying the effect of KDD on CRM in the Egyptian banking sector. We believe that the KDD process and applications may perform a significant role in Egyptian banks to improve CRM, in particular for customer retention. Our believe is supported by the results of the field survey at the largest Egyptian bank. Keywords. Adopting new technology, Knowledge Discovery in Databases (KDD), Customer Relationship Management (CRM), and banking sector.Applications in Artificial Intelligence - Knowledge DiscoveryRed de Universidades con Carreras en Informática (RedUNCI

Adopting knowledge discovery in databases for customer relationship management in egyptian public banks

We propose a framework for studying the effect of KDD on CRM in the Egyptian banking sector. We believe that the KDD process and applications may perform a significant role in Egyptian banks to improve CRM, in particular for customer retention. Our believe is supported by the results of the field survey at the largest Egyptian bank. Keywords. Adopting new technology, Knowledge Discovery in Databases (KDD), Customer Relationship Management (CRM), and banking sector.Applications in Artificial Intelligence - Knowledge DiscoveryRed de Universidades con Carreras en Informática (RedUNCI

Combining Sociocultural Intelligence with Artificial Intelligence to Increase Organizational Cyber Security Provision through Enhanced Resilience

Although artificial intelligence (AI) and machine learning (ML) can be deployed to improve cyber security management, not all managers understand the different types of AI/ML and how they are to be deployed alongside the benefits associated with sociocultural intelligence. The aim of this paper was to provide a context within which managers can better appreciate the role that sociocultural intelligence plays so that they can better utilize AI/ML to facilitate cyber threat intelligence (CTI). We focused our attention on explaining how different approaches to intelligence (i.e., the intelligence cycle (IC) and the critical thinking process (CTP)) can be combined and linked with cyber threat intelligence (CTI) so that AI/ML is used effectively. A small group interview was undertaken with five senior security managers based in a range of companies, all of whom had extensive security knowledge and industry experience. The findings suggest that organizational learning, transformational leadership, organizational restructuring, crisis management, and corporate intelligence are fundamental components of threat intelligence and provide a basis upon which a cyber threat intelligence cycle process (CTICP) can be developed to aid the resilience building process. The benefit of this is to increase organizational resilience by more firmly integrating the intelligence activities of the business so that a proactive approach to cyber security management is achieved

Design and development of solutions for research projects: Upper, CityChain and pulse generator

[ES] La serie «El rol de la inteligencia artificial y la computación distribuida en las aplicaciones IoT» contiene publicaciones sobre la teoría y aplicaciones de la computación distribuida y la inteligencia artificial en el Internet de las cosas. Prácticamente todas las disciplinas como la ingeniería, las ciencias naturales, la informática y las ciencias de la información, las TIC, la economía, los negocios, el comercio electrónico, el medio ambiente, la salud y las ciencias de la vida están cubiertas. La lista de temas abarca todas las áreas de los sistemas inteligentes modernos y la informática como: inteligencia computacional, soft computing incluyendo redes neuronales, inteligencia social, inteligencia ambiental, sistemas auto-organizados y adaptativos, computación centrada en el ser humano y centrada en el ser humano, sistemas de recomendación, control inteligente, robótica y mecatrónica, incluida la colaboración entre el ser humano y la máquina, paradigmas basados en el conocimiento, paradigmas de aprendizaje, ética de la máquina, análisis inteligente de datos, gestión del conocimiento, agentes inteligentes, toma de decisiones inteligentes y apoyo, seguridad de la red inteligente, gestión de la confianza, entretenimiento interactivo, inteligencia de la Web y multimedia. Las publicaciones en el marco de «El rol de la inteligencia artificial y la computación distribuida en las aplicaciones IoT» son principalmente las actas de seminarios, simposios y conferencias. Abarcan importantes novedades recientes en la materia, tanto de naturaleza fundacional como aplicable. Un importante rasgo característico de la serie es el corto tiempo de publicación. Esto permite una rápida y amplia difusión de los resultados de las investigaciones[EN] The series «The Role of Artificial Intelligence and Distributed Computing in IoT Applications» contains publications on the theory and applications of distributed computing and artificial intelligence in the Internet of Things. Virtually all disciplines such as engineering, natural sciences, computer and information sciences, ICT, economics, business, e-commerce, environment, health and life sciences are covered. The list of topics covers all areas of modern intelligent systems and computer science: computational intelligence, soft computing including neural networks, social intelligence, ambient intelligence, self-organising and adaptive systems, human-centred and people-centred computing, recommendation systems, intelligent control, robotics and mechatronics including human-machine collaboration, knowledge-based paradigms, learning paradigms, machine ethics, intelligent data analysis, knowledge management, intelligent agents, intelligent decision making and support, intelligent network security, trust management, interactive entertainment, web intelligence, and multimedia. The publications in the framework of «The Role of Artificial Intelligence and Distributed Computing in IoT Applications» are mainly the proceedings of seminars, symposia and conferences. They cover important recent developments in the field, whether of a foundational or applicable character. An important feature of the series is the short publication time. This allows for the rapid and wide dissemination of research results