Artificial Intelligence for Predictive Maintenance Applications: Key Components, Trustworthiness, and Future Trends

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(2), P. 898 - 898

Published: Jan. 20, 2024

Predictive maintenance (PdM) is a policy applying data and analytics to predict when one of the components in real system has been destroyed, some anomalies appear so that can be performed before breakdown takes place. Using cutting-edge technologies like artificial intelligence (AI) enhances performance accuracy predictive systems increases their autonomy adaptability complex dynamic working environments. This paper reviews recent developments AI-based PdM, focusing on key components, trustworthiness, future trends. The state-of-the-art (SOTA) techniques, challenges, opportunities associated with PdM are first analyzed. integration AI into real-world applications, human–robot interaction, ethical issues emerging from using AI, testing validation abilities developed policies later discussed. study exhibits potential areas for research, such as digital twin, metaverse, generative collaborative robots (cobots), blockchain technology, trustworthy Industrial Internet Things (IIoT), utilizing comprehensive survey current SOTA opportunities, challenges allied PdM.

Language: Английский

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Exploring the Challenges of Artificial Intelligence in Data Integrity and its Influence on Social Dynamics

Asian Journal of Advanced Research and Reports, Journal Year: 2024, Volume and Issue: 18(2), P. 1 - 23

Published: Jan. 13, 2024

This study examines the ethical challenges and regulatory dynamics of Artificial Intelligence (AI) in relation to data integrity its influence on social dynamics. Employing a cross-sectional survey approach, primary was collected from 650 AI practitioners across various sectors, encompassing developers, scientists, ethicists, policymakers. The investigated correlations between compliance, awareness, professional training, experience practice with effectiveness implementation integrity. findings revealed strong positive correlation higher levels compliance perceived implementation, as well ethics awareness assurance. Moreover, significant relationship observed training impact However, field, while positively correlated, showed weaker link integrity, indicating that alone is insufficient for ensuring effective practices. highlights importance considerations, frameworks, shaping development societal implications. need dynamic, adaptable, inclusive frameworks can align practices values norms emphasized. Future research directions include exploring regulation diverse cultural contexts emerging technologies like quantum computing ethics.

Language: Английский

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Hyper-personalization for enhancing customer loyalty and satisfaction in Customer Relationship Management (CRM) systems

SSRN Electronic Journal, Journal Year: 2023, Volume and Issue: unknown

Published: Jan. 1, 2023

In the dynamic realm of customer-centric business models, organizations are increasingly adopting advanced technologies and strategies to augment capabilities Customer Relationship Management (CRM) systems. This study delves into transformative concept hyper-personalization its profound impact on enhancing customer loyalty satisfaction within CRM frameworks. Key enablers artificial intelligence (AI) machine learning (ML), which play a pivotal role in this evolution. These empower systems analyse extensive datasets, extracting valuable insights individual behaviours, preferences, needs. The incorporation predictive analytics recommendation engines allows real-time customization interactions, ensuring customers receive personalized content, product recommendations, communication channels tailored their unique profiles. paper explores tools integral strategies, underscoring importance data-driven decision-making. data platforms (CDPs) highlighted as essential that unify disparate sources create comprehensive profile. Additionally, segmentation assist categorizing based diverse criteria, facilitating targeted interactions. integration these enhances ability deliver contextually relevant experiences, fostering stronger emotional connections between brands. for involve multi-faceted approach, encompassing proactive communication, marketing campaigns, adaptive journeys. evaluates effectiveness personalization, where dynamically adjust content offers seamless experience. Furthermore, examines omnichannel hyper-personalization, exploring how various touchpoints contributes cohesive journey. By embracing can cultivate enduring relationships, ultimately driving enhanced today's competitive landscape.

Language: Английский

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Reviewing the development of floating LNG facilities and their global impact

World Journal of Advanced Research and Reviews, Journal Year: 2023, Volume and Issue: 21(2), P. 371 - 381

Published: Feb. 28, 2023

This Review encapsulates a comprehensive review of the development and global impact Floating Liquefied Natural Gas (FLNG) facilities. These innovative structures have revolutionized liquefied natural gas industry by enabling offshore extraction, liquefaction, storage. The study explores evolution, challenges, transformative influence FLNG facilities on energy sector. begins with an examination historical technology, tracing its roots to early 21st century. It showcases how these floating evolved from conceptual designs operational structures, emphasizing key technological advancements that propelled their growth. is analyzed through multiple lenses. Economic considerations, such as cost-effectiveness accessibility remote reserves, emerge significant drivers for adoption. also delves into environmental implications, assessing potential benefits challenges associated liquefaction. Challenges inherent in development, including engineering complexities regulatory are addressed. sheds light been navigated, leading successful deployment operation various regions. dynamics highlighted, focus role unlocking stranded reserves facilitating timely responses shifting market demands. emphasizes adaptability different geographic economic contexts, showcasing versatility pivotal component supply chain. In conclusion, this offers panoramic perspective profound landscape. By bridging innovation, viability, contributors evolving industry, shaping resilient adaptive future

Language: Английский

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Artificial Intelligence (AI) and Internet of Things (IoT) - based sensors for monitoring and controlling in architecture, engineering, and construction: applications, challenges, and opportunities

SSRN Electronic Journal, Journal Year: 2023, Volume and Issue: unknown

Published: Jan. 1, 2023

The fusion of Artificial Intelligence (AI) and the Internet Things (IoT) has brought about a paradigm shift in realm architecture, engineering, construction (AEC), introducing intelligent sensing technologies that significantly enhance monitoring control. This study delves into varied applications, hurdles, prospects emerging from collaborative deployment AI IoT-based sensors within AEC domain. AI-equipped smart enable real-time structural health, energy consumption, environmental conditions both buildings infrastructure. These empower predictive maintenance, ensuring durability structures while minimizing downtime. Additionally, AI-driven analytics optimize resource allocation, improve safety protocols, streamline processes, thereby enhancing overall project efficiency. Through ongoing analysis data collected by integrated HVAC systems, elevators, lighting, maintenance teams can pre-emptively tackle potential malfunctions. Furthermore, synergy between IoT enables development with adaptive features. Sensors examine occupancy patterns, lighting preferences, temperature fluctuations play pivotal role crafting energy-efficient occupant-centric building designs. security privacy concerns associated sensor-generated give rise to critical issues necessitate robust cybersecurity measures. Interoperability challenges among diverse sensor networks platforms also present obstacles seamless integration. adoption these demands substantial investments infrastructure workforce training, requiring strategic approach for widespread acceptance. paper explores how capabilities contribute risk mitigation cost reduction across entire lifecycle. Moreover, ability collect analyze vast amounts empowers stakeholders make well-informed decisions, fostering innovation sustainability industry. By addressing underscoring benefits, it provides invaluable insights industry professionals, researchers, policymakers eager harness transformative construction.

Language: Английский

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Explainable Artificial Intelligence (XAI) Approaches for Transparency and Accountability in Financial Decision-Making

SSRN Electronic Journal, Journal Year: 2023, Volume and Issue: unknown

Published: Jan. 1, 2023

Recently, there has been a growing trend in incorporating Artificial Intelligence (AI) into financial decision-making, prompting concerns about the transparency and accountability of these intricate systems. This study investigates impact Explainable (XAI) approaches alleviating improving decision-making processes. The paper commences by outlining current landscape AI applications finance, underscoring complex opaque nature advanced machine learning models. lack interpretability models presents significant challenge, as stakeholders, regulators, end-users often struggle to comprehend reasoning behind AI-driven decisions. opacity raises questions regarding trust, particularly critical scenarios. primary focus research centers on analysis implementation XAI techniques introduce Various methods, including rule-based systems, model-agnostic approaches, interpretable models, are scrutinized for their effectiveness producing understandable explanations explores how can be tailored meet distinct requirements domain, where is essential regulatory compliance stakeholder confidence. Moreover, delves potential mechanisms within institutions. By offering model outputs, not only enhances but also empowers professionals identify rectify biases, errors, or unethical behaviour algorithms. promoting accountability, addresses ethical facilitates responsible trustworthy deployment sector. This, turn, contributes advancement fair, reliable, secure

Language: Английский

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Integrating Building Information Modelling (BIM) with ChatGPT, Bard, and similar generative artificial intelligence in the architecture, engineering, and construction industry: applications, a novel framework, challenges, and future scope

SSRN Electronic Journal, Journal Year: 2023, Volume and Issue: unknown

Published: Jan. 1, 2023

The architecture, engineering, and construction (AEC) sector is currently experiencing a profound shift in its paradigm through the incorporation of Building Information Modelling (BIM) advanced generative artificial intelligence (AI) technologies. This study delves into diverse applications this transformative integration, presenting pioneering framework for merging BIM with models like ChatGPT Bard. integrated approach outlined research paper has broad implications. Initially, it explores augmentation design process, where AI enhances creative input architects engineers by generating innovative alternatives rooted data. BIM's collaborative ethos extended natural language interfaces from ChatGPT, fostering seamless communication idea exchange among project stakeholders. In phase, integration streamlines real-time decision-making on-site personnel, providing AI-generated insights based on ensures heightened efficiency, cost-effectiveness, risk management. synergy between also harnessed simulation analysis, enabling predictions related to structural performance, energy environmental impact. introduces an seamlessly AI, prioritizing interoperability, data consistency, user-friendly interfaces. Designed adapt dynamic nature AEC projects, promotes continuous collaboration information exchange. It establishes standardized platform harnessing strengths both technologies, ensuring cohesive efficient workflow across lifecycle. Nevertheless, brings forth challenges, including security, ethical considerations, demand extensive computational resources. provides foundational upcoming studies industry practices, paving way more intelligent, collaborative, ecosystem.

Language: Английский

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Enhancing participatory planning with ChatGPT-assisted planning support systems: a hypothetical case study in Seoul

International Journal of Urban Sciences, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 34

Published: Feb. 14, 2025

Language: Английский

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Integrating ChatGPT, Bard, and leading-edge generative artificial intelligence in architectural design and engineering: applications, framework, and challenges

SSRN Electronic Journal, Journal Year: 2023, Volume and Issue: unknown

Published: Jan. 1, 2023

This research paper delves into the integration of advanced generative artificial intelligence (AI) models, such as ChatGPT, Bard, and similar architectures, within realms architectural design engineering. The comprehensive study explores various aspects, including applications, frameworks, challenges, prospective developments in context In domain design, investigates transformative impact on Architectural Theory, highlighting how AI fosters creativity innovation thinking. Design Process is scrutinized, showcasing models streamline ideation, iteration, collaboration among teams. role Representation Visualization explored, emphasizing its capacity to generate immersive realistic visualizations. Furthermore, examines influence Interior Design, Urban Planning, considers nuanced aspects Cultural Social factors, elucidating these technologies contribute inclusive context-sensitive practices. Within realm engineering, assesses Structural Engineering, demonstrating potential optimize innovate structural analysis designs for enhanced safety efficiency. It applications Building Systems Construction Management, illustrating can project workflows resource allocation. compliance with Codes Regulations analyzed, error reduction adherence standards. Additionally, probes Materials Technology, advancements material selection construction methodologies. also promoting Sustainability Environmental energy efficiency, reduce environmental impact, enhance overall sustainability. While presenting critically evaluates challenges posed by integrating domains, ethical considerations, bias mitigation, user adaptability. Finally, it outlines future directions development, necessity interdisciplinary collaboration, guidelines, ongoing fully harness shaping

Language: Английский

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Leading-edge Artificial Intelligence (AI), Machine Learning (ML), Blockchain, and Internet of Things (IoT) technologies for enhanced wastewater treatment systems

SSRN Electronic Journal, Journal Year: 2023, Volume and Issue: unknown

Published: Jan. 1, 2023

The escalating global demand for clean water mandates the development of inventive approaches to wastewater treatment systems. This paper investigates incorporation cutting-edge technologies, specifically Artificial Intelligence (AI), Machine Learning (ML), Blockchain, and Internet Things (IoT), revolutionize elevate procedures. collaborative application these technologies presents a promising avenue optimizing efficiency, sustainability, overall performance within infrastructure. play pivotal roles in predictive modeling decision-making processes plants. These facilitate real-time monitoring quality parameters, enabling dynamic adjustments protocols based on data-driven insights. adaptive nature AI ML algorithms enhances system resilience, diminishes operational costs, ensures adherence rigorous environmental standards. integration Blockchain technology introduces decentralized secure framework managing data By capitalizing inherent transparency immutability blockchain, stakeholders can trace complete lifecycle treatment, from source discharge. not only promotes accountability but also nurtures trust among regulators, utilities, public, fostering more transparent sustainable management ecosystem. Moreover, contributes establishment connected responsive Sensor networks embedded throughout process enable collection, facilitating remote control. seamless communication between IoT devices prompt identification anomalies potential failures, allowing timely intervention averting hazards. research underscores emphasizes significance their address evolving challenges contribute future.

Language: Английский

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