Use of Emerging Technologies in Healthcare 4.0

Advances in medical technologies and clinical practice book series, Год журнала: 2024, Номер unknown, С. 280 - 296

Опубликована: Апрель 26, 2024

Since its launch, Healthcare 4.0 has made it possible to create and enhance the quality of healthcare services by integrating cutting-edge technologies. We have focused this study on a few studies that potential significantly impact advancing systems in future. identified critical research gaps introduced IoT Application Service Stacks, representing state-of-the-art contemporary systems. Additionally, we discussed most recent paradigm for wireless body area networks importance how advanced technology helps next-generation health applications, such as big data analytics, software-defined networking, blockchain, cloud computing, edge/fog telehealthcare, machine learning. conducted comparative analysis several architectural implementations, considering their benefits, drawbacks, needs service. greatly emphasize significance various developing technologies, outlining prospects they present ability improve solutions deliver higher-quality services. The primary objective chapter is focus fundamentals establishing security privacy future system.

Язык: Английский

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Smart Healthcare System in Industry 4.0

Advances in medical technologies and clinical practice book series, Год журнала: 2024, Номер unknown, С. 297 - 311

Опубликована: Апрель 26, 2024

The primary objective of this chapter is to provide a framework for smart healthcare in 5G and focus on requirements an intelligent medical system design. Advancements technology Internet access have connected people various devices that can interact with one another. Today, bridge the gaps many fields, including medicine. Smart transitioning from specialist clinic approach more dispersed, patient-centred model. Technological developments facilitated several technologically accelerated evolutions sector. 4G other communications technologies are currently employed apps services. These innovations critical services future. Several applications produce vast amounts data formats sizes as business grows. Such diverse necessitates unique considerations terms end-to-end. Current communication systems will need help meet demands dynamic time sensitive. As result, infrastructures being conceived. 5G-enabled conglomeration IoT strategies demand efficiency system. networking solutions confront difficulties such supporting gadgets, standardization, safety. It gives complete assessment 5G-supported society 4.0.

Язык: Английский

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Sustainability Metrics and Measurement in Industry 4.0-Enabled SCM

Advances in logistics, operations, and management science book series, Год журнала: 2024, Номер unknown, С. 176 - 233

Опубликована: Янв. 19, 2024

The rapid advancement of Industry 4.0 technologies has ushered in a new era supply chain management (SCM) that places sustainability at its core. This chapter goes deep into the critical intersection metrics and measurement 4.0-enabled SCM, exploring dynamic landscape where cutting-edge technology meets environmental, social, economic responsibility. Beginning with an introduction to 4.0's transformative role authors elucidate importance this context. research's scope objectives are outlined, emphasizing need decipher intricacies ecosystem. provide comprehensive elucidation key concepts, definitions, unique contributions research endeavour. A central focus is alignment SCM United Nations' Sustainable Development Goals (SDGs), illuminating how emerging can act as catalysts for achieving these global objectives.

Язык: Английский

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Advances in Health With the Help of Explainable AI

Advances in medical technologies and clinical practice book series, Год журнала: 2024, Номер unknown, С. 87 - 103

Опубликована: Апрель 26, 2024

The primary object of this chapter is to discuss the morals and difficulties we would face while dealing with unprecedented situation another sentient coexisting on Earth us focus explainable AI tools frameworks comprehend better analyze predictions that machine learning models can make. Develop systems inclusive from bottom up using help identify fix bias, drift, other data model deficiencies. Data scientists may modify datasets or designs debug performance Explanations in Auto ML Tables, Vertex predictions, Notebooks. Users gain confidence improve transparency ease understanding patterns identified represented by explanation. Simplify training evaluation monitoring control manage within company. It tracks a few made for AI. some forecasts our provide As result technological advancements, starting play more significant role healthcare industry. However, substantial drawbacks area prevent incorporating into existing systems. Artificial intelligence (AI) works “black box,” making it difficult grasp model's inner workings due its complexity. result, specialists need industry understand how generates results. Additionally, authors specifically one humanities will AI: effects decisions no human advances applications across comprehensive-broader range clinical queries.

Язык: Английский

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Zero-Day Exploits in Cybersecurity: Case Studies and Countermeasure

Опубликована: Июль 29, 2024

Zero-day threats are a more severe and constantly developing menace to various participants including large companies, government offices, educational establishments. These entities may contain valuable information essential operations that attract cyber attackers. exploits especially devastating as they target weaknesses an organization’s vendors not even aware of, making them have no protection against them. This paper focuses on the background use of zero-day exploitation structure technologies these complex malware attacks. We examine two notable real-life cases: case ‘HAFNIUM targeting Exchange Servers with exploits’ was investigated by Microsoft 365 Security Threat Intelligence, ‘Log4j vulnerability’ reported National Cyber Centre. cases show critical effects vulnerabilities measures taken combat Additionally, this outlines different strategies can be used prevent attacks help modern technologies. fast patch release, effective IDS/IPS, security model involves constant vigilance behavioral analytics. Thus, studying lifecycle exploits, one enhance organization invisible traditional systems. extensive survey is designed useful in understanding characteristics vulnerabilities, for their mitigation, threat development field cybersecurity. it possible strengthen develop time analyzing previous events predicting potential problems.

Язык: Английский

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Sustainability in the Digital Age

Advances in logistics, operations, and management science book series, Год журнала: 2024, Номер unknown, С. 89 - 132

Опубликована: Янв. 19, 2024

This chapter explores the convergence of Industry 4.0 technologies and sustainable supply chain practices, presenting a comprehensive overview these digital advancements' transformative potential. The begins by defining intersection between sustainability 4.0, emphasizing pivotal role in fostering environmentally socially responsible chains. With clear objectives mind, exploration delves into impact key on practices. discussion spans utilization internet things (IoT) for real-time monitoring, big data analytics informed decision-making, integration robotics to enhance ethical manufacturing.

Язык: Английский

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Industry 4.0

Advances in logistics, operations, and management science book series, Год журнала: 2024, Номер unknown, С. 342 - 405

Опубликована: Янв. 19, 2024

The advent of Industry 4.0, characterized by the integration digital technologies into industrial processes, has ushered in a transformative era for manufacturing and beyond. This chapter delves future trends research directions that will shape landscape 4.0 coming years. One prominent trend is continued proliferation internet things (IoT) its convergence with artificial intelligence (AI). As IoT devices become more interconnected intelligent, they enable real-time data analysis, predictive maintenance, adaptive manufacturing, fostering increased efficiency cost-effectiveness across industries. Moreover, rise edge computing set to redefine processing analytics. deployment powerful resources closer source promises reduced latency enhanced decision-making capabilities, particularly critical applications like autonomous remote robotics.

Язык: Английский

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Top 5 Deadly Cybersecurity Threats to Kingdom of Saudi Arabia

Опубликована: Авг. 30, 2024

The current era in which we live is centered on information technology because the renaissance of and its expansion multiple scales fields. People who have a high knowledge passion for it seek to disseminate this process correctly, computers now become one most essential devices government operations. Large companies already begun use businesses, has helped direct some procedures joint e-government, allows people access services from home their computers. It also not hidden that with increase computer use, electronic crimes increased, contributed formation laws. In various countries deal them. As evolves, sophistication impact these cyber threats continue grow, posing significant challenges cybersecurity. This research discusses role against cybercrime, regulations, allowable behavior using Saudi Arabia. analyzes cybercrime Kingdom system combating cybercrime.

Язык: Английский

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Overview of Generative AI Techniques for Cybersecurity

Advances in information security, privacy, and ethics book series, Год журнала: 2024, Номер unknown, С. 1 - 52

Опубликована: Июль 26, 2024

Generative AI techniques have been popular since they can generate data or content that could be hardly distinguished from genuine ones. This chapter comprehensively reviews generative for cybersecurity and its definition, history, applications in different fields. It covers basic ideas such as models, probability distributions, latent spaces. Also, it goes into more detail on some of the approaches like GANs, VAEs, combination RL. The explores structure training processes GANs VAEs demonstrates their application tasks image synthesis, enhancement, novelty detection. interaction between RL models challenges, including exploration-exploitation trade-off. focuses development with help DL analyses benefits deep usage various Evaluation measures problems measuring are discussed, focusing methods improving measurement accuracy. Finally, new directions, transformer-based self-supervised learning, to look at future AI. emphasis is made understanding these due versatility, about possible further developments findings other fields studies provided.

Язык: Английский

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Generative AI for Threat Intelligence and Information Sharing

Advances in digital crime, forensics, and cyber terrorism book series, Год журнала: 2024, Номер unknown, С. 191 - 234

Опубликована: Сен. 12, 2024

Collaboration in providing threat intelligence and disseminating information enables cyber security professionals to embrace digital most successfully, whose risks are ever-changing. This article dwells on the capacity of machine change by categorising indicators compromise (IOC) actors, then highlights limits traditional methods. Among Artificial tools such as generative adversarial networks (GANs) Variational autoencoders (VAEs), which key innovators, one can create synthetic or fake data that emulates real attack scenarios past. allows cyber-related be analysed differently from before. In addition, this feature secure stakeholder collaborations. It is also meant mainly for factual protects private but exchange helpful information. clear fact showcasing real-world examples demonstrates Al's automation through cybersecurity detection.

Язык: Английский

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