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246 articles for “integrated assessment models”
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Agentic AI-Driven Negative Emission Optimization: Large Language Model Orchestration and Quantum Annealing for Real-Time Carbon Capture Policy Simulation Beyond 1.5°C Thresholds
Abstract: The convergence of agentic artificial intelligence, large language model (LLM) orchestration, and quantum annealing presents a transformative paradigm for climate policy computation. This paper introduces Nega Optima a multi-agent computational architecture that integrates LLM-driven policy parsing, quantum annealing-based combinatorial optimization, and real-time integrated assessment model (IAM) feedback loops to simulate negative emission technology (NET) deployment strategies in a post-1.5°C overshoot scenario. Existing carbon capture optimization frameworks suffer from three systemic …
Published in International Journal of Climate Conditions · Vol. 3, Issue 2, 2026 · pp. 7–14 Read article
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Assessing Urban Surface Runoff Management Using the SWAT Model, GIS, and the Rational Method: A Case Study of Karapakkam
Abstract: Urban surface runoff management encompasses strategies aimed at regulating rainwater flow, reducing urban flooding, enhancing groundwater recharge, and contributing to disaster risk mitigation for sustainable urban development. This study seeks to optimize surface runoff management in urban settings by using the soil and water assessment tool (SWAT) model integrated with geographic information systems (GIS) to minimize flood risks. The research focuses on the peak runoff in Karapakkam, a locality within …
Published in International Journal of Environmental Planning and Development Architecture · Vol. 4, Issue 1, 2026 · pp. 37–48 Read article
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Greener 3D Printing: The Role of Artificial Intelligence in Sustainable Polymer and Composite Manufacturing
Abstract: The integration of sustainable materials with additive manufacturing (AM) technologies marks a significant step towards environmentally responsible production. Biodegradable polymers, recycled thermoplastics, and bio-based composites, when used in 3D printing, offer the potential to reduce the ecological footprint of manufacturing. However optimizing the interplay between material properties process parameters, and product performance remains a complex challenge. This review examines how artificial intelligence (AI) is being applied to address these challenges …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 288–300 Read article
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Micro Watershed Delineation and Codification in Chickballapur District Using GIS Techniques
Abstract: Enhanced and reproducible methods for watershed modelling and assessment are essential tools for monitoring and management of watersheds. However, only few integrated studies propose advanced open source data and methodologies for watershed modelling and assessment. In this study, free downloadable DEM is processed using GIS tools to delineate watersheds through drainage map. Seven watersheds were identified in chickballapur district. Further sub watershed, mini and micro watersheds were delineated hierarchically. The …
Published in Journal of Remote Sensing & GIS · Vol. 7, Issue 1, 2016 · pp. 75–80 Read article
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Assessment of Matrix Cracking and Fiber Breakage in Hybrid Composite Materials.
Abstract: Hybrid composite materials, combining two or more distinct fiber or matrix constituents, have emerged as advanced structural solutions for aerospace, automotive, marine, and civil engineering applications. However, their complex microstructure makes them susceptible to multiple interacting damage mechanisms, particularly matrix cracking and fiber breakage. This study provides a comprehensive assessment of these damage modes, emphasizing their initiation, evolution, and combined effects on the mechanical integrity of hybrid composites. Matrix cracking …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 3, Issue 2, 2025 · pp. 1–5 Read article
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Understanding the Capabilities of ChatGPT for Learning and AI-Powered Assessment
Abstract: This paper investigates the integration of ChatGPT, a generative AI language model developed by OpenAI, into modern educational environments with a focus on its role in learning and assessment. ChatGPT’s ability to understand and generate human- like responses positions it as a powerful tool for enhancing personalized learning experiences, supporting students through interactive tutoring, and assisting educators in administrative and academic tasks such as content creation and automated grading. The …
Published in International Journal of Education Sciences · Vol. 3, Issue 1, 2026 · pp. 101–107 Read article
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Remote Sensing and Atmospheric Modelling: Data, Processes, Integration and Future Directions
Abstract: Atmospheric modelling plays a central role in weather forecasting, climate projection, and air quality assessment; however, the availability, accuracy, and representativeness of atmospheric observations fundamentally constrain its reliability. Over the past two decades, rapid advances in remote sensing (RS) have transformed atmospheric observation by providing spatially continuous, multiscale measurements of key atmospheric variables, including aerosols, trace gases, clouds, precipitation, and atmospheric thermodynamic profiles. This review synthesises recent progress in integrating …
Published in International Journal of Atmosphere · Vol. 3, Issue 1, 2026 · pp. 54–67 Read article
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Technological Innovations in Monitoring and Encouraging Activities to Improve Social Support
Abstract: This study investigates the role of artificial intelligence (AI) as a co‑evaluator in physical education assessment, focusing on its reliability, validity, and potential to strengthen social support systems in higher education sport science. Drawing on recent scholarship that highlights both the promise and limitations of AI in educational contexts the research addresses a critical gap, while technology has been widely applied to individual performance monitoring, less attention has been given …
Published in Recent Trends in Sports · Vol. 3, Issue 2, 2026 · pp. 14–21 Read article
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Website Usability Using AI
Abstract: This article introduces a comprehensive framework that leverages artificial intelligence (AI), automated tools, and APIs to enhance the evaluation of website usability. The proposed framework integrates AI-driven models with traditional usability assessment techniques to create a more dynamic and effective evaluation process. Specifically, it utilizes Google Lighthouse to conduct in-depth audits on website performance, search engine optimization (SEO), and accessibility. Additionally, chatbot APIs are incorporated to gather real-time user feedback, …
Published in Journal of Web Engineering & Technology · Vol. 12, Issue 2, 2025 · pp. 19–27 Read article
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Zebra Fish Embryo Assay: A Wonderful Tool for Ecotoxicological Risk Assessment with Special Reference to Heavy Metals - An Overview
Abstract: In recent years, environmental pollution has become a pressing concern, prompting extensive research in aquatic ecotoxicology. With environmental degradation getting worse day by day, ecotoxicology research has gained a lot of attention. This area of study examines how biological communities in aquatic environments are affected by environmental contaminants. To unravel the toxicological mechanisms of these exogenous compounds, scientists turn to biological models. Several aquatic species, including zebrafish, toads, and big …
Published in International Journal of Toxins and Toxics · Vol. 2, Issue 2, 2025 · pp. 56–70 Read article
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Risk Assessment for Integrated Project Management System in Construction Industry
Abstract: AbstractThis paper presents a risk assessment model for construction projects. There are a number of problems in the construction industry in India that are attributed to various factors. The focus of the present research is to identify factors that influence the smooth completion of a project and develop a risk assessment model. The experience and success in the construction industry nowadays does not depend only on the traditional civil engineering …
Published in Journal of Construction Engineering, Technology & Management · Vol. 8, Issue 1, 2018 · pp. 20–25 Read article
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Extending the Lifespan of Offshore Platforms: Vital Strategies for Durability
Abstract: This article explores the preventive measures for enhancing the durability and sustainability of aging offshore platforms, focusing on their evaluation, life extension, and potential repurposing. It begins by discussing diagnostic systems that assess structural integrity and safety, highlighting the importance of degradation models and neural networks in predicting corrosion effects on platform longevity. The paper then contrasts outdated Malaysian jacket platforms with emerging renewable energy solutions, particularly Ocean Thermal Energy …
Published in Journal of Petroleum Engineering & Technology · Vol. 14, Issue 3, 2024 · pp. 11–18 Read article
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Performance Assessment of IRT Method for Distillation Model Control
Abstract: A Wood and Berry distillation column was considered for experimentation and the Improved Relay Tuning (IRT) method was applied for design of optimum PID settings. The closed loop response was obtained using optimum values of PID parameters and compared with that of conventional relay method and other non relay method. The integral square error (ISE) criterion for the performance assessment was used and it was found that the integral error …
Published in Journal of Control & Instrumentation · Vol. 6, Issue 1, 2015 · pp. 27–30 Read article
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A Shell Programming Framework for Automated Risk Assessment and Security Control in Linux Operating Systems
Abstract: Linux operating systems are widely used in servers, embedded platforms, cloud infrastructure, and high-performance computing environments, making continuous system monitoring and risk assessment essential for maintaining security and operational reliability. Conventional risk assessment approaches often rely on individual system commands and manual interpretation of processor, memory, process, file, and security information, which can limit timely identification of abnormal system conditions. This paper proposes a Bash shell programming-based automated risk assessment …
Published in Journal of Advances in Shell Programming · Vol. 13, Issue 2, 2026 · pp. 55–66 Read article
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Statistical Modeling for Weld Quality Assessment using AI SAW Welding of Mild Steel
Abstract: The main issue to the industries that apply Submerged Arc Welding (SAW) is quality assurance since the structural integrity dictates safety and the performance of the industry. The existing system of checking manuals is not only time consuming but also has human errors that make it mandatory to deploy automated intelligent systems. This study carries out an extensive comparison of the leading approaches based on the use of Artificial Intelligence …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 892–907 Read article
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The Tapper Approach: An Integrated Framework for Land Degradation, Restoration, and Climate-Conflict Dynamics
Abstract: Land systems across the globe are increasingly exposed to multiple and interacting pressures, including land degradation, climate change, biodiversity loss, unsustainable land-use practices, rapid population growth, and socio-economic conflicts. These challenges not only reduce ecosystem productivity and resilience but also threaten food security, water availability, rural livelihoods, and long-term environmental sustainability. Despite the growing recognition of these interconnected issues, most existing conceptual and analytical frameworks continue to address them in …
Published in Research & Reviews : Journal of Ecology · Vol. 15, Issue 2, 2026 · pp. 24–30 Read article
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PERFORMANCE EVALUATION OF SMEs IN JABALPUR USING INTEGRATED PCA DEA MODEL
Abstract: An integrated principal component analysis and data envelopment analysis frame work has been adopted to assess and ranking of SMEs situated in Jabalpur. the results of the frame work shows the performance of SMEs : weak and strong points of each SME with regard to machinery and equipment. Moreover, the composite rank of the SMEs is calculated to assess the performance. Furthermore, it identifies which indicators have major impacts on …
Published in Journal of Production Research & Management · Vol. 8, Issue 2, 2018 · pp. 30–37 Read article
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Multi-Scale Analysis of Polymer Based Energy Storage Systems for High Performance Battery Applications
Abstract: The energy storage systems based on polymers are becoming promising materials for the next generation of high performance batteries because of their excellent mechanical flexibility, improved safety, and favorable electrochemical properties. Even with computational tools in Python, polymer-based energy storage systems remain plagued by poor ionic conductivity, complicated electrochemical reactions and potential thermal runaway. Therefore, a multi-scale model is proposed to improve battery performance, thermal stability, reliability, and large-scale deployment …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1035–1048 Read article
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A IoT-Enabled Predictive Intelligence for Real-Time Failure and Damage Evolution Monitoring of Polymer Composites
Abstract: Damage assessment of carbon-fibre-reinforced polymer composites is still challenging since the damage occurs as a combination of matrix cracking, interfacial debonding, delamination and fibre fracture. The present work proposes a framework for predictive-intelligence based on IoT for multiaxial fatigue and compression-after-impact (CAI) CFRP experiments, employing publicly available acoustic-emission (AE) datasets. A causal CNN–GRU attention model is developed by integrating time-domain, spectral, wavelet, loading-history and trend features to estimate the damage …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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An Introduction of Computational Fluid Dynamics Methods and Frameworks
Abstract: The theoretical fluid dynamics code is used to model the primary natural circulation loop of the proposed small modular reactor for reference to experimental evidence and best-estimated thermal-hydraulic code performance. Latest developments in computational fluid dynamics code simulation capabilities allow them desirable alternatives to the existing cautious method coupled to best guess thermal hydraulic codes and ambiguity assessments. The findings of the numerical fluid dynamics study are compared to the …
Published in Journal of Aerospace Engineering & Technology · Vol. 10, Issue 3, 2020 · pp. 19–23 Read article