Embryonic Machine-Deep Learning, Smart Healthcare and Privacy Deliberations in Hospital Industry: Lensing Confidentiality of Patient’s Information and Personal Data in Legal-Ethical Landscapes Projecting Futuristic Dimensions

Published: Jan. 1, 2024

Language: Английский

---

Intelligent Manufacturing through Generative Artificial Intelligence, Such as ChatGPT or Bard

SSRN Electronic Journal, Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 1, 2024

This research paper explores the transformative possibilities arising from integration of ChatGPT, an advanced language model, into domain intelligent manufacturing. In face rapid changes in manufacturing landscape, there is increasing demand for adaptive and systems to elevate efficiency, productivity, decision-making processes. study investigates incorporation ChatGPT's or Bard cutting-edge natural processing capabilities various forefront aspects establish a novel paradigm The ChatGPT processes presents versatile approach tackle challenges seize opportunities within modern production systems. A pivotal aspect this lies augmenting human-machine collaboration factory. understanding facilitates seamless communication between human operators automated systems, fostering more intuitive responsive environment. Additionally, delves utilization predictive maintenance facilities. Through analysis historical data real-time information, can provide insights potential equipment failures, enabling proactive strategies that mitigate downtime optimize resource utilization. also application supply chain management. model's capacity process vast amounts textual contributes improved forecasting, inventory optimization, risk results resilient agile ecosystem capable adapting dynamic market conditions. Furthermore, role quality control defect detection. model analyze intricate patterns data, identifying anomalies defects with high degree accuracy. Integrating assurance ensures higher product quality, reducing waste, enhancing overall customer satisfaction. findings highlight revolutionize processes, propelling industry towards greater adaptability, competitiveness rapidly evolving global market.

Language: Английский

---

Contribution of ChatGPT and Similar Generative Artificial Intelligence for Enhanced Climate Change Mitigation Strategies

SSRN Electronic Journal, Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 1, 2024

The urgent acceleration of climate change necessitates the development innovative and adaptive mitigation strategies. This study investigates how ChatGPT or Bard, an advanced language model, enhances efforts to mitigate change. By leveraging natural processing machine learning, facilitates improved communication, collaboration, decision-making among stakeholders, thereby accelerating implementation paper begins by examining context change, emphasizing need for robust measures. It underscores limitations traditional approaches introduces transformative potential integrating into action frameworks. model's capacity analyze extensive datasets generate human-like text allows it comprehend intricate science, distill key insights, communicate them effectively. research identifies strategies that benefit from ChatGPT's intervention. One such strategy involves optimizing deployment renewable energy. assists in identifying optimal locations energy infrastructure, considering geographical climatic factors. Additionally, model aids developing sophisticated management systems, enhancing efficiency reliability sources. In sustainable agriculture, contributes providing real-time data analysis precision farming. helps farmers optimize resource utilization, minimize environmental impact, adopt climate-resilient agricultural practices. Moreover, formulating policies promote land use forest conservation. also explores role resilience through risk assessment adaptation planning. analyzing data, vulnerable regions targeted infrastructure resilience, disaster preparedness, community engagement. Furthermore, discusses fostering global collaboration. cross-border information exchange, knowledge sharing, formulation unified policies. collaborative approach is essential addressing transboundary nature achieving international goals. harnessing capabilities, stakeholders can unlock new dimensions innovation, paving way a more resilient future.

Language: Английский

---

Enhancing water and air pollution monitoring and control through ChatGPT and similar generative artificial intelligence implementation

SSRN Electronic Journal, Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 1, 2024

This research delves into the utilization of advanced artificial intelligence (AI), specifically ChatGPT or Bard, to improve strategies for monitoring and controlling water air pollution. Given escalating concerns surrounding environmental degradation its repercussions on public health, there is a pressing demand innovative pollution management techniques. investigation centers harnessing capabilities ChatGPT, an language model, address real-time data analysis, decision-making, engagement challenges within realm quality. Incorporating cutting-edge methods in monitoring, such as sensor networks, satellite imagery, IoT devices, this aims obtain comprehensive understanding dynamics. Nevertheless, substantial volume presents processing extracting meaningful insights. employed intelligent tool proficient comprehending natural queries delivering insightful analyses. integration streamlines interpretation intricate sets, enabling swift decision-making control authorities. Moreover, assumes pivotal role by serving user-friendly interface disseminating information levels, regulatory measures, preventive actions. Through interactive conversations, it enhances communication between agencies general public, cultivating awareness encouraging participation initiatives. paper underscores significance collaborative human-AI approach tackling multifaceted The also ethical considerations associated with AI-driven emphasizing importance responsible AI implementation. As technologies progress, proposed framework contribute ongoing discourse sustainable involvement. By synergizing state-of-the-art techniques, seeks offer efficacious solution advancing contemporary landscape.

Language: Английский

---

Transforming the Civil Engineering Sector with Generative Artificial Intelligence, such as ChatGPT or Bard

SSRN Electronic Journal, Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 1, 2024

The infusion of generative artificial intelligence (AI) stands out as a transformative influence in civil engineering, reshaping conventional methodologies and elevating the effectiveness precision across various domains. This study delves into nuanced impact ChatGPT, potent language model, key realms within engineering: Structural Engineering, Geotechnical Transportation Environmental Water Resources Urban Regional Planning, Materials Coastal Earthquake Engineering. Within ChatGPT assumes central role formulating refining structural designs. By deciphering intricate engineering concepts proposing inventive solutions, assists engineers crafting structures that not only exhibit resilience but also optimize resource utilization. Its proficiency scrutinizing extensive datasets delivering insights positions it an invaluable tool for augmenting integrity safety. Engineering benefits from ChatGPT's aptitude processing interpreting geological geophysical data. Through generation reports analyses, aids recognizing potential risks suggesting mitigation strategies, thereby expediting decision-making geotechnical projects. In realm application involves streamlining traffic flow, devising intelligent transportation systems, overall infrastructure planning. natural capabilities facilitate seamless communication collaboration among diverse stakeholders engaged contributes to evaluation environmental studies, assisting planners making well-informed decisions prioritizing sustainability. Moreover, its capability simulate scenarios formulation effective pollution control measures. leverages data interpretation modeling, enabling precise predictions water flow patterns aiding design efficient management systems. extends contributions where urban development optimizing land use, addressing challenges associated with population growth urbanization. prowess analysis materials enhanced properties, resilient coastal structures, creation earthquake-resistant infrastructure. research paper scrutinizes how integration these disciplines heightens efficiency practices unlocks new avenues innovation, sustainability, face evolving challenges.

Language: Английский

---

Digitization of AEC Industries Based on BIM and 4.0 Technologies

Buildings, Journal Year: 2024, Volume and Issue: 14(5), P. 1350 - 1350

Published: May 9, 2024

BIM and 4.0 technologies are currently the leading branches of digitization in construction. The aim this article is to confront theses on building information modeling (BIM) coexisting technologies, present an analysis along with conclusions regarding process AEC industries using methodology advanced digital within scope technologies. Key aspects technology integration were discussed, including artificial intelligence (AI) or big data science analytics. impact these fields design processes, as well management, monitoring construction progress, overall efficiency industries, was analyzed. pays particular attention synergy between technology, identifying benefits, challenges, development perspectives. Conclusions indicate growing importance interdisciplinarity for improving industry processes need adapt changing landscape field A survey conducted, where respondents’ answers presented form charts. Questions focused issue use by Polish engineering staff. research results that latest technological solutions Poland still rare, potential not fully utilized. can make a significant contribution discussion evolution directions context achievements technology. Previous has included such wide spectrum Poland. An conducted comparing global other countries adoption.

Language: Английский

---

Uncapping Explainable Artificial Intelligence–Centered Reinforcement Learning and Natural Language Processing in Smart Healthcare System

Published: March 3, 2025

Language: Английский

---

Adopting circular economy in construction: a review

Frontiers in Built Environment, Journal Year: 2025, Volume and Issue: 11

Published: Jan. 20, 2025

Global development is integral to construction activities that consume enormous amounts of natural resources, which a considerable part wasted during the and demolition phases. Only small such waste recovered recycled, rest goes landfills dumpsites, containing high volume recoverable reusable materials components, causing environmental hazards depleting resources. This occurs due practice linear economic model in construction. By contrast, circular economy (CE) approach can potentially offer an effective solution for this issue, through its long-lasting standardized design with reduced resource input; extensive reuse recycling products components. However, CE not being widely practiced. As such, study was designed investigate why practiced, what needs be done wider adoption. beginning, systematic literature review extracted 32 motivators, 35 challenges 31 strategies. Further analysis clustered these three groups factors into eight focus areas of: legal regulatory framework; knowledge, education training; infrastructure, technology innovation; awareness promotion support; collaboration information sharing; standardization; business positive finance economics. Finally, conceptual framework presented, adoption sustainability assessment reporting, The outcomes are expected provide guidance indication policy decision-makers on

Language: Английский

---

Exploring possibilities and limits of ChatGPT: Usage in building design studies

Turkish Journal of Engineering, Journal Year: 2025, Volume and Issue: 9(3), P. 490 - 500

Published: March 5, 2025

The architectural design of buildings is a complex and detailed process requiring collaboration with various disciplines. With technological development, digital tools have been stated to enhance content creation analysis, thereby improving project feasibility optimization. ChatGPT, one the important Artificial Intelligence technologies, has potential assist tasks ranging from simple analysis processes. Despite its extensive use in different fields, such as education, health, marketing, application capabilities remain largely unexplored. This study investigates integration ChatGPT into workflows, focusing on support creation. A semi-structured interview was defined test ChatGPT's possibilities limits during stage building project. involved preparing files case evaluating ability analyze data generate new insights. findings highlight strengths comparison while identifying limitations, difficulties reading certain file formats providing overly general critiques. concludes that shows promise enhancing understanding limitations essential for future research practical application.

Language: Английский

---

Generative AI, Large Language Models, and ChatGPT in Construction Education, Training, and Practice

Buildings, Journal Year: 2025, Volume and Issue: 15(6), P. 933 - 933

Published: March 15, 2025

The rapid advancement of generative AI, large language models (LLMs), and ChatGPT presents transformative opportunities for the construction industry. This study investigates their integration across education, training, professional practice to address skill gaps inefficiencies. While AI’s potential in has been highlighted, limited attention given synchronising academic curricula, workforce development, industry practices. research seeks fill that gap by evaluating AI adoption through a mixed multi-stage methodology, including theoretical conceptualisation, case studies, content analysis application strategic frameworks such as scenario planning, SWOT analysis, PESTEL frameworks. findings show tools enhance foundational learning critical thinking education but often fail develop job-ready skills. Training programmes improve task-specific competencies with immersive simulations predictive analytics neglect leadership Professional benefits from AI-driven resource optimisation collaboration faces barriers like regulatory interoperability challenges. By aligning practical training this highlights create future-ready workforce. provides actionable recommendations integrating domains. These contribute understanding role construction, offering baseline effective responsible adoption.

Language: Английский

---