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, Год журнала: 2023, Номер unknown

Опубликована: Янв. 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.

Язык: Английский

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Enhanced product design and development using Artificial Intelligence (AI), Virtual Reality (VR), Augmented Reality (AR), 4D/5D/6D Printing, Internet of Things (IoT), and blockchain: A review

SSRN Electronic Journal, Год журнала: 2023, Номер unknown

Опубликована: Янв. 1, 2023

This research paper offers a thorough examination of the incorporation state-of-the-art technologies, such as Artificial Intelligence (AI), Virtual Reality (VR), Augmented (AR), 3D Printing, Internet Things (IoT), and Blockchain, with aim revolutionizing elevating product design development process. As industries undergo transformation seek inventive solutions, convergence these technologies emerges revolutionary strategy to streamline workflows, encourage collaboration, achieve unprecedented efficiencies. The utilization AI in is investigated pivotal catalyst, enabling automated analysis extensive datasets extract valuable insights. algorithms play crucial role intelligent decision-making, predicting trends, optimizing parameters, facilitating swift prototyping. are employed construct immersive environments, designers interact virtual prototypes real-time gain perspectives prior physical production. explores impact 4D/5D/6D Printing converting conceptual designs into tangible prototypes, expediting iterative process, reducing time-to-market. Furthermore, (IoT) scrutinized for its potential enhance functionality by incorporating smart sensors connectivity, allowing monitoring, data-driven improvements throughout lifecycle. Additionally, integration Blockchain technology examined ability establish transparent secure collaboration frameworks. ensures traceability iterations, safeguards intellectual property, cultivates trust among stakeholders decentralized ecosystem. cohesive presented comprehensive approach redefine traditional paradigms. concludes outlining future prospects this integrated approach, emphasizing necessity ongoing unlock full fostering innovation reshaping landscape development.

Язык: Английский

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

SSRN Electronic Journal, Год журнала: 2023, Номер unknown

Опубликована: Янв. 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

Язык: Английский

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Metaverse for Enhancing Customer Loyalty: Effective Strategies to Improve Customer Relationship, Service, Engagement, Satisfaction, and Experience

SSRN Electronic Journal, Год журнала: 2023, Номер unknown

Опубликована: Янв. 1, 2023

In the dynamic realm of digital technology, Metaverse has emerged as a revolutionary platform with vast potential for businesses aiming to strengthen customer loyalty. This study investigates effective techniques within enhance relationships, service, engagement, satisfaction, and overall experience. As increasingly migrate virtual spaces, understanding nuances interaction becomes crucial. The research employs comprehensive approach, blending qualitative quantitative methods explore diverse aspects loyalty in Metaverse. Qualitative methods, such in-depth interviews participant observations environments, offer profound insights into behavior expectations. Quantitative surveys provide structured data, enabling statistical analysis metrics. findings underscore significant impact utilization on Tailored avatars, immersive interactive experiences foster sense belonging personalization, nurturing deeper emotional bond between customers brands. Real-time support personalized services elevate satisfaction trust, leading heightened levels Additionally, outlines key strategies implement Metaverse, including gamification, social interactions, events, augmented reality integrations. Gamified engagement retention, while interactions cultivate community, encouraging advocate brand. Virtual events applications innovative platforms showcase products, educate customers, facilitate meaningful thereby bolstering provides valuable transformative shaping future customer-business relationships. By embracing identified strategies, can not only adapt evolving landscape but also enduring loyalty, ensuring sustainable growth success market.

Язык: Английский

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YOLO and Faster R-CNN object detection for smart Industry 4.0 and Industry 5.0: applications, challenges, and opportunities

SSRN Electronic Journal, Год журнала: 2023, Номер unknown

Опубликована: Янв. 1, 2023

The rise of Industry 4.0 and the emerging paradigm 5.0 have driven unprecedented technological progress in various fields. Central to this transformation are real-time object detection technologies, notably You Only Look Once (YOLO) Faster Region Convolutional Neural Network (Faster R-CNN) algorithms. This study thoroughly examines applications, challenges, prospects YOLO R-CNN diverse industrial domains. In realm automation, these algorithms redefined efficiency safety standards by enabling rapid precise recognition, thus enhancing overall production workflows. Furthermore, construction industry has experienced significant advancements project management site safety, thanks accurate identification materials equipment. healthcare, revolutionized patient care facilitating medical instruments anomalies, thereby improving diagnostics treatment processes. integration into autonomous vehicles substantially enhanced their capabilities, ensuring superior road navigation. Additionally, precision agriculture, streamlined crop management, leading increased agricultural productivity sustainability. Moreover, retail e-commerce sectors undergone a shift with personalized customer experiences efficient inventory all powered technologies. Despite remarkable advancements, paper explores challenges such as data privacy concerns, computational complexity, ethical considerations. Addressing opens unique avenues for further research innovation. Lastly, environmental monitoring also benefited from algorithms, tracking analysis changes informed decision-making towards sustainable future. illuminates transformative potential detection, paving way ongoing upcoming 5.0. These technologies shaping smarter, more connected, future across sectors.

Язык: Английский

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