Artificial Intelligence and Internet of Things Integration in Pharmaceutical Manufacturing: A Smart Synergy

Pharmaceutics, Год журнала: 2025, Номер 17(3), С. 290 - 290

Опубликована: Фев. 22, 2025

Background: The integration of artificial intelligence (AI) with the internet things (IoTs) represents a significant advancement in pharmaceutical manufacturing and effectively bridges gap between digital physical worlds. With AI algorithms integrated into IoTs sensors, there is an improvement production process quality control for better overall efficiency. This facilitates enabling machine learning deep real-time analysis, predictive maintenance, automation—continuously monitoring key parameters. Objective: paper reviews current applications potential impacts integrating concert technologies like cloud computing data analytics, within sector. Results: Applications discussed herein focus on industrial analytics quality, underpinned by case studies showing improvements product reductions downtime. Yet, many challenges remain, including ethical implications AI-driven decisions, most all, regulatory compliance. review also discusses recent trends, such as drug discovery blockchain traceability, intent to outline future autonomous manufacturing. Conclusions: In end, this points basic frameworks that illustrate ways overcome existing barriers increased efficiency, personalization, sustainability.

Язык: Английский

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AI-Driven 3D Design on Learning

Advances in marketing, customer relationship management, and e-services book series, Год журнала: 2025, Номер unknown, С. 61 - 82

Опубликована: Янв. 31, 2025

The landscape of design has been profoundly transformed particularly in realm 3D design. As industries increasingly embrace digital transformation, designs not only how products are conceptualized and created but also redefine the roles designers engineers. This new paradigm introduces a multitude opportunities while presenting unique challenges that must be navigated carefully. At its core, AI-driven leverages machine learning algorithms, generative principles, data analytics to enhance creative processes, optimize designs, streamline workflows. One fundamental concepts underlying is design, an alternative-specific input. Designers input constraints types, requirements, AI system explores countless variations arrive at most efficient solutions. method encourages innovation, enabling discover forms structures might conceived through traditional methods.

Язык: Английский

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Challenges and Benefits of Implementing AI in Timber Construction for Circular Economy Goals

Buildings, Год журнала: 2025, Номер 15(7), С. 1073 - 1073

Опубликована: Март 26, 2025

Artificial intelligence (AI) is considered an essential enabler of a circular economy (CE) in the construction industry. AI can significantly enhance efficiency applying innovative CE practices other projects. However, it has not yet been fully integrated into application principles and explicitly overlooked context timber construction. This study aims to bridge this gap by examining potential contributions applications achieving construction, as well identifying associated benefits challenges. Through mixed-methods approach, research utilizes both qualitative data, collected through industry interviews, quantitative analysis explore professional perspectives uncover actionable insights. The findings highlight transformative sustainability operational Moreover, six 11 challenges for integrating are identified that act accelerator advancing circularity Based on results, reduction waste facilitating deconstruction reuse process emerge most important benefits. Data obstacles, technological integration, finance resources, organizational determined main makes novel field providing empirical evidence form addition practical recommendations integration promote goals improve sector.

Язык: Английский

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Applying Artificial Intelligence and the Internet of Things to the Building Sector to Improve Security and Disaster Prediction

Journal of Machine and Computing, Год журнала: 2025, Номер unknown, С. 1099 - 1112

Опубликована: Апрель 5, 2025

The Intelligent Infrastructure Monitoring System (IIMS) is a data-driven approach that uses Artificial Intelligence (AI) and the Internet of Things (IoT) to enhance civil engineering Disaster Management (DM). To predict future disasters, system Multi-Tiered Model (MTM) integrate real-time data from IoT sensors, such as stress, vibration, temperature, humidity, corrosion levels. Temporal Graph Convolutional Network (TGCNM) processes this capture spatial temporal dependencies across structural components, enabling proactive maintenance risk mitigation. TGCNM outperforms baseline models by significant margin, hyperparameter sensitivity analysis identifies optimal configuration for enhanced performance. This vital monitoring securing key infrastructure enhancing DM with AI IoT.

Язык: Английский

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Evaluating the Trade-offs between Wireless Security and Performance in IoT Networks: A Case Study of Web Applications in AI-Driven Home Appliances

Journal of Engineering Research and Reports, Год журнала: 2024, Номер 26(8), С. 411 - 432

Опубликована: Авг. 16, 2024

The integration of the Internet Things (IoT) with artificial intelligence (AI) is transforming home appliances into smarter, more responsive tools that enhance daily living. However, this technological fusion introduces significant security challenges, necessitating a careful balance between and performance within IoT networks. First, study answers question trade-offs measures metrics in web applications for AI-driven appliances, second, how can these be optimized to ensure both robust high system performance? Using qualitative content analysis, identified key flaws application architectures, while quantitative analysis assessed impact protocols on such as latency, throughput, CPU usage. Atlas.ti Cisco’s Packet Tracer were utilized thematic coding network simulation, respectively, multivariate regression quantified influences protocols. results revealed enhanced protocols, encryption authentication, significantly performance, increasing latency by an average 50 milliseconds reducing throughput 10% under peak loads. Additionally, usage increased up 75% high-threat scenarios. proposed security-performance optimization framework dynamically adjusts based current threat assessments operational demands, aiming sustain ensuring security. These findings have real-world design implementation offering roadmap manufacturers device without compromising performance. By adopting adaptive leveraging edge computing, improve user satisfaction trust smart technologies.

Язык: Английский

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Economic, Policy, Social, and Regulatory Aspects of AI-Driven Smart Buildings

Journal of Building Engineering, Год журнала: 2024, Номер unknown, С. 111666 - 111666

Опубликована: Дек. 1, 2024

Язык: Английский

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GS-LinYOLOv10: A drone-based model for real-time construction site safety monitoring

Alexandria Engineering Journal, Год журнала: 2025, Номер 120, С. 62 - 73

Опубликована: Фев. 11, 2025

Язык: Английский

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A New Era of Automation in the Construction Industry: Implementing Leading-Edge Generative Artificial Intelligence, such as ChatGPT or Bard

SSRN Electronic Journal, Год журнала: 2024, Номер unknown

Опубликована: Янв. 1, 2024

The construction sector stands at the cusp of a transformative period propelled by integration generative artificial intelligence (AI) into diverse aspects its operations. This investigation delves revolutionary impact deploying cutting-edge AI, particularly ChatGPT model, across various dimensions activities. study concentrates on thorough exploration ChatGPT's utilization in crucial domains such as robotic equipment, 3D/4D/5D/6D printing processes, building information modeling (BIM) workflows, robotics, smart materials, and augmented/virtual reality (AR/VR) technologies, along with role drone surveying mapping. research underscores seamless enhancing effectiveness adaptability autonomous machinery. Furthermore, it examines benefits incorporating advanced where plays pivotal streamlining design iterations optimizing material usage. Additionally, investigates enhanced communication facilitated BIM promoting collaboration minimizing errors project planning execution. introduction robotics emerges groundbreaking advancement, amplifying capabilities systems enabling sophisticated tasks. also scrutinizes application development contributing to creation adaptive responsive components. Moreover, paper explores synergies between AR/VR presenting innovative approaches immersive visualization interactive planning. use mapping, showcasing elevating data analysis decision-making site management. By proposing comprehensive framework for implementing ChatGPT/Bard construction, outlines guidelines existing workflows. concludes shedding light potential ChatGPT, heralding new era automation innovation industry.

Язык: Английский

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Identifying the Internet of Things (IoT) implementation benefits for sustainable construction project

HBRC Journal, Год журнала: 2024, Номер 20(1), С. 700 - 766

Опубликована: Июль 1, 2024

Understanding the implementation of Internet Things (IoT) in sustainable construction projects. Implementing IoT schemes can offer many benefits, including resource management, remote control and monitoring, improving safety, optimizing building performance data-driven decision-making. This research presents a unique effort to enhance our comprehension such We analyzed 55 studies using systematic approach literature selection filtration, theoretical models for study sustainability industries. The results revealed that monitoring constituted 9 (16.4%), machine/equipment 2 (3.6%), safety 5 (9.1%), water management 4 (7.3%), 4IR BIM green prefabricated design adoption level 6 (10.9%), other aspects accounted 15 (27.3%). primary areas application industry include BIM, repair equipment services, implements, tracking equipment. Notably, there is lack awareness regarding potential integration by companies. Despite numerous on adoption, limited addresses challenges how tools impact industry. Our review proposes framework implementing projects address this gap. However, further investigation required analyze security threats associated with smart city setting, explore promising countermeasures, delve into open issues.

Язык: Английский

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Contribution of ChatGPT and Similar Generative Artificial Intelligence in Geotechnical Engineering and Soil Mechanics

SSRN Electronic Journal, Год журнала: 2024, Номер unknown

Опубликована: Янв. 1, 2024

This research study investigates the influence of ChatGPT on geotechnical engineering and soil mechanics. Positioned as an advanced language model, has emerged a formidable asset for enhancing communication, collaboration, problem-solving within geotechnics domain. A key aspect ChatGPT's contribution lies in its capacity to facilitate streamlined communication among engineers, researchers, practitioners. Leveraging natural processing capabilities, model enables seamless interaction, cultivating collaborative environment exchanging ideas, sharing insights, addressing intricate challenges projects. heightened leads expedited problem resolution enhanced decision-making processes. Additionally, plays crucial role automating routine tasks engineering, allowing professionals allocate more time critical analyses innovative pursuits. The model's ability generate human-like responses streamlines data interpretation, report generation, documentation processes, thereby boosting overall workflow efficiency. In context slope stability analysis, showcases prowess by assisting interpretation providing insights into potential failure mechanisms. Its application extends mechanics, where aids analyzing behaviour under varying conditions, contributing deeper understanding soil-structure interaction. Moreover, proves invaluable synthesizing interpreting extensive datasets, paving way advancements machine learning applications engineering. aptitude recognizing patterns relationships complex datasets enhances accuracy predictive models, ultimately elevating reliability predictions. paper delves integration education, serves valuable tool interactive experiences. By generating realistic scenarios instant feedback, contributes development practical skills students alike. impact automation, education establishes it pioneering force shaping future practices.

Язык: Английский

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