Innovative Computational Intelligence Frameworks for Complex Problem Solving and Optimization

International Journal of Computational and Experimental Science and Engineering, Journal Year: 2025, Volume and Issue: 11(1)

Published: Jan. 9, 2025

The rapid advancement of computational intelligence (CI) techniques has enabled the development highly efficient frameworks for solving complex optimization problems across various domains, including engineering, healthcare, and industrial systems. This paper presents innovative that integrate advanced algorithms such as Quantum-Inspired Evolutionary Algorithms (QIEA), Hybrid Metaheuristics, Deep Learning-based models. These aim to address challenges by improving convergence rates, solution accuracy, efficiency. In context a framework was successfully used predict optimal treatment plans cancer patients, achieving 92% accuracy rate in classification tasks. proposed demonstrate potential addressing broad spectrum problems, from resource allocation smart grids dynamic scheduling manufacturing integration cutting-edge CI methods offers promising future optimizing performance real-world wide range industries.

Language: Английский

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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

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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

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Exploring artificial intelligence generated content (AIGC) applications in the metaverse: Challenges, solutions, and future directions

IET Blockchain, Journal Year: 2024, Volume and Issue: 4(4), P. 365 - 378

Published: May 26, 2024

Abstract In recent years, the Metaverse has gained attention as a hub for technological revolution. However, its main platform suffers from issues like low‐quality content and lackluster virtual environments, leading to subpar user experiences. Concerns arise declining interest in NFTs failed real estate ventures, casting doubt on Metaverse's future. Artificial intelligence generated (AIGC) emerges key driver of advancement, using AI create digital efficiently affordably. AIGC also enables personalized content, enhancing Metaverse. This paper examines link between AIGC, exploring AIGC's applications, underlying technologies, future challenges. It reveals that while shows promise improving Metaverse, technologies must better align with development needs deliver immersive

Language: Английский

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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

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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

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A Context-Aware Content Recommendation Engine for Personalized Learning using Hybrid Reinforcement Learning Technique

International Journal of Computational and Experimental Science and Engineering, Journal Year: 2025, Volume and Issue: 11(1)

Published: Feb. 5, 2025

In the evolving landscape of e-learning, delivering personalized content that aligns with learners' needs and preferences is crucial. This study proposes a Context-Aware Content Recommendation Engine (CACRE) utilizes Hybrid Reinforcement Learning (HRL) technique to optimize learning experiences. The engine incorporates contextual data, such as pace, preferences, performance, deliver tailored recommendations. proposed HRL model combines Deep Q-Learning for dynamic selection Policy Gradient Methods adapt individual trajectories. Experimental results demonstrate significant improvements in learner engagement, relevance, knowledge retention. approach underscores potential context-aware recommendation systems revolutionize education by fostering adaptive interactive environments.

Language: Английский

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Ready for departure: Factors to adopt Large Language Model (LLM)-based Artificial Intelligence (AI) technology in the architecture, engineering and construction (AEC) industry

Results in Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 104325 - 104325

Published: Feb. 1, 2025

Language: Английский

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Generative Artificial Intelligence (AI) and Sustainable-Aided Design: Opportunities and Challenges

Published: Jan. 1, 2025

Abstract The presented research explores the integration of Generative Artificial Intelligence (AI) tools into Sustainable Aided Design (SADE) framework and assesses their potential challenges in addressing actual issues within sustainable design. SADE is a methodology focused on enhancing project context. questions whether generative AI can assist architects designing more buildings by providing early-stage control over sustainability aspects. involves use two approaches such as text-to-image chatbot to assess quality responses regarding specific instructions for high-rise low-rise residential projects based environmental bioclimatic design parameters. focus passive strategies that are crucial ultra-early stage processes. transforms textual from chatbots prompts processes, refining concepts correspondence between suggestions generated images through 3D models. In conclusion, proposes systemic evaluate support provide terms visual inspiration, instructions, programmatic outputs architectural context SADE. It calls systematic scientific opportunities these pose sustainability.

Language: Английский

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Integrating Multimodal Generative AI and Blockchain for Enhancing Generative Design in the Early Phase of Architectural Design Process

Published: July 17, 2024

AI advances integrate generative design tools in architecture, providing architects with sophisticated options. It enables the creation of intricate, high-performing projects by exploring diverse possibilities and algorithms. Generative empower to create better-performing, sustainable, efficient solutions explore possibilities. This paper leverages multimodal enhance creativity combining textual visual inputs. Blockchain technology converts metadata into NFTs, ensuring secure, authentic, traceable data storage. The framework addresses ownership, legal adherence, client-architect collaboration is entirely scalable for digital authentication. research exemplifies pragmatic fusion blockchain applied architectural more transparent, effective results. study provides a strategy that uses technologies achieve an creative workflow early stages design.

Language: Английский

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