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1058 articles for “Model optimization”
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A Review on Enhancement of Building Energy Efficiency Through Insulation
Abstract: This review examines the heat insulation properties of bricks, which are vital for enhancing energy efficiency in buildings. Bricks serve as a fundamental component in construction, and their thermal performance significantly impacts overall energy consumption. Recent advancements in brick manufacturing have led to the development of materials with improved thermal insulation properties. The incorporation of specific additives into brick composition has demonstrated notable improvements in their ability to resist heat …
Published in Journal of Structural Engineering and Management · Vol. 12, Issue 1, 2025 · pp. 19–26 Read article
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AI and ML in the Chemical Industry: A Review of Transformative Applications and Future Prospects
Abstract: The chemical industry, a key growth indicator of the global manufacturing ecosystem, is experiencing a digital transformation driven mainly by advancements in Artificial Intelligence (AI) and Machine Learning (ML) in this sector. These technologies are totally revolutionizing current and traditional methodologies by significantly improving process efficiency, reducing costs of manufacturing, accelerating R&D, and improving safety and sustainability standards. Proper utilization of Artificial intelligence (AI) and machine learning (ML) in chemical …
Published in International Journal of Cheminformatics · Vol. 3, Issue 2, 2025 · pp. 1–6 Read article
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Study on the Bio-kinetic Coefficients of Kitchen Effluent using UASB Reactor
Abstract: The upflow anaerobic sludge bed (UASB) reactor was operated at optimum organic loading rate (OLR) of 2.4 kg-COD/m3-day, with hydraulic detention time (HDT) of 10–12 h during the study. It was concluded from the study that the treatment of high-ranged kitchen mill effluent is technically feasible provided that the pH of the system is kept near to neutral. This can be achieved by adding NaHCO3 to the feed solution. The …
Published in Journal of Geotechnical Engineering · Vol. 2, Issue 1, 2015 · pp. 14–18 Read article
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Green Technology Incubator for Sustainable Manufacturing Solutions
Abstract: The transition to a sustainable, low-carbon economy requires innovative approaches to industrial processes, particularly in the manufacturing sector, which is one of the largest contributors to global environmental degradation. This project proposes the creation of a Green Technology Incubator designed to accelerate the development of sustainable manufacturing solutions by nurturing startups and entrepreneurs focused on green technologies. The incubator's focus will be on promoting circular economy practices, energy-efficient manufacturing processes, …
Published in Journal of Nuclear Engineering & Technology · Vol. 15, Issue 1, 2025 · pp. 22–27 Read article
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Advancements in Agricultural Forecasting: A Review of Machine Learning Based Crop Yield Prediction
Abstract: Agricultural productivity plays a critical role in global food security, and accurate crop yield prediction is essential for optimizing resource allocation and decision-making in farming. The rapid advancements in Machine Learning (ML) and Deep Learning(DL)have transformed agricultural forecasting, enabling data-driven approaches for crop prediction. This review paper provides a comprehensive analysis of various ML and DL techniques applied in crop yield forecast, highlighting the ineffectiveness, challenges, and future directions. The …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 3, 2025 · pp. 32–38 Read article
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Nursing Training and Research in India: Challenges and Opportunities
Abstract: Nursing is one of the strongest pillars of healthcare delivery system. However, there is an acute shortage of nursing staff along with their unsatisfactory quality of education and training that leads to poor quality of nursing services in India. Moreover, the figures are dismal in terms of number of training institutions, trained nurses, nurse-population ratio and nurse-physician ratio. Inadequate management and leadership at national and state levels, lack of infrastructure, …
Published in Journal of Nursing Science & Practice · Vol. 2, Issue 1-3, 2012 · pp. 130–140 Read article
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Effect of Fillet Radius on Bending Stress in Helical Gear using FEA
Abstract: A well-optimized change in root fillet radius could greatly benefit helical gear operation by providing a smoother transmission with less impact and noise. The fillet area of the gear root is an area of extensive bending stress concentration. An increase in fillet radius for helical gears is considered to minimise the bending stress at the gear tooth's base. This paper develops appropriate models of various gear tooth profiles of the …
Published in Journal of Polymer & Composites · Vol. 11, Issue 8, 2023 · pp. 129–136 Read article
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Time Series Sales Forecasting Using ARIMA Model
Abstract: Sales forecasting is a critical application in various industries and presents one of the most challenging problems worldwide. One method of prediction involves identifying patterns in historical data, where the outcome is known in advance and can be validated using more recent data. If a pattern consistently leads to the same outcome, it can be considered a genuine relationship. This method is highly flexible and can be utilized with diverse …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 2, Issue 1, 2024 · pp. 17–27 Read article
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Transforming Human Resources Leveraging AI Across the Associate Lifecycle for Strategic Success
Abstract: AI is taking the lead in changing the game in human resources by mitigating challenges and optimizing processes throughout the entire associate lifecycle. From pre-hire, AI helps with interview bias, enhances hire projections, and supports talent acquisition with predictive analytics. Once onboarded, AI helps with compensation benchmarking, automates performance feedback with the mitigation of bias, and analyzes associate sentiment through NLP and LLMs. In the middle of the life cycle, …
Published in Recent Trends in Programming languages · Vol. 12, Issue 1, 2025 · pp. 30–36 Read article
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AI Application in the Creation of Medications for COPD
Abstract: The crippling lung condition known as chronic obstructive pulmonary disease (COPD) is typified by a continuous restriction of airflow, which results in increased respiratory dysfunction and a reduced quality of life. The rising incidence of COPD worldwide emphasizes the pressing need for innovative pharmaceutical approaches to address the illness. Even though COPD care has advanced significantly, most current medications concentrate on symptom relief rather than disease change. This gap in …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 2, 2025 · pp. 01–05 Read article
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Improving Supply Chain Resilience through Predictive Analytics and Real-Time Data Integration
Abstract: Demand forecasting has under gone major changes because to the incorporation of automated analytics into supply chain management (SCM), which has improved company productivity, accuracy, and responsiveness. Central to this transformation is the application of machine learning (ML), which enables the analysis of large and complex datasets to identify patterns, detect trends, and generate precise forecasts. Conventional methods for predicting frequently rely on linear models and historical sales data, which …
Published in International Journal of Industrial and Product Design Engineering · Vol. 3, Issue 2, 2025 · pp. 8–17 Read article
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Reducing Cell Density Congestion Issue in Chip Design
Abstract: AbstractThe congestion issues reduce with the help of shrinking process technologies. Here, typical placement objectives involve reducing cell density congestion in a chip design. Congestion reducing is the least understand; however, it models route ability most accurately. The congestion issue is cell density (commonly believed to be very effective) does not always work well, so here by applying the partial block technique for the cell density is among the best …
Published in Journal of Microelectronics and Solid State Devices · Vol. 6, Issue 3, 2019 · pp. 11–17 Read article
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Photo-Catalytic Degradation of Rhodamine-B by using UV/TiO2 and Nb2O5 Process: A Kinetic Study
Abstract: The photo-catalytic degradation of Rhodamine-B (RB) in aqueous solution with titanium dioxide (TiO2) and niobium pentaoxide (Nb2O5) as photocatalyst in slurry form has been carried out using UV-A light (254 nm). The effect of various parameters such as catalyst loading, pH and initial concentration of the RB dye on degradation have been determined. An attempt has been made to study the effect of process parameters through concentration of dye, amount …
Published in Journal of Catalyst & Catalysis · Vol. 1, Issue 3, 2014 · pp. 12–24 Read article
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Dynamic Cost Projection: Enhancing BIM-Integrated Estimation and Budgeting in Construction Projects
Abstract: In the realm of construction project management, the integration of Building Information Modeling (BIM) with dynamic cost projection tools represents a pivotal advancement. This paper explores the synergy between BIM and cost estimation, emphasizing their collective potential to revolutionize project budgeting. By harnessing real-time data and predictive analytics, BIM facilitates accurate and proactive cost projections throughout the project lifecycle. This integration not only enhances cost estimation precision but also fosters …
Published in Journal of Construction Engineering, Technology & Management · Vol. 14, Issue 2, 2024 · pp. 1–10 Read article
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Therapeutic Potential of Plant-Derived Phytochemicals in Targeting Receptor Pathways Related to Non-Enzymatic Glycation: A Meta-Analysis
Abstract: Background: Non-enzymatic glycation, where reducing sugars react with proteins, lipids, and nucleic acids, contributes to various pathological conditions, such as diabetic complications and cardiovascular diseases. This process is facilitated by the receptor for advanced glycation end-products (RAGE), which is pivotal in driving inflammation and causing tissue damage. Objective: This meta-analysis evaluates the effects of plant-derived phytochemicals on RAGE expression and associated signaling pathways, assessing their therapeutic potential in glycation-related diseases. …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 3, Issue 1, 2025 · pp. 60–73 Read article
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Integrate AI and IoT to Develop Sustainable Polymer Structural Materials Processing Optimization: Enabled Monitoring Strategies for Performance and Lifecycle Assessment
Abstract: The need for long-lasting structural polymer materials that are both environmentally friendly and highly mechanically effective is driving demand for these materials as the industrial sector continues to grow. Optimizing processes, saving energy, detecting faults, and monitoring structures are all hindered by conventional polymer manufacture. This study suggests an AI-IoT system for environmentally friendly production of structural polymer materials to get around these problems. Tools for evaluating system performance and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 169–192 Read article
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From Quantum Chemistry to Bioprocess Intensification: Advanced Computational Modeling and Enzyme-Based Catalytic Platforms for Green Chemical Transformations
Abstract: Green chemistry requires the development of sustainable catalytic systems that minimize waste generation, reduce energy consumption, and improve process efficiency. Computational chemistry and biocatalysis have emerged as complementary approaches for environmentally responsible chemical manufacturing. Computational techniques such as quantum chemistry, density functional theory (DFT), molecular dynamics, and machine learning provide mechanistic insights into catalytic reactions and support the rational design of efficient catalysts. These approaches enable the prediction of reaction …
Published in Journal of Catalyst & Catalysis · Vol. 13, Issue 2, 2026 · pp. 45–52 Read article
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Machine Learning Framework for Optimizing Polymer–Metal Oxide Composites as Charge Selective Layers in Perovskite Solar Cells
Abstract: To achieve high-performance and stability of perovskite solar cells (PSCs), it was important to incorporate innovative interfacial materials to tune the balanced charge extraction, low recombination, and enhanced operational lifespan. On this note, polymer composites with metal oxides have been proposed as promising candidates as charge selective layers (CSLs), whereby they present a rare combination of tunable energy levels, improved film forming abilities, and better interface engineering capabilities. In this …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 1073–1098 Read article
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Application of Full Factorial Design for Optimizing Variables of Hydraulic Plunger Spring
Abstract: Compression Helical Spring has various applications in automobile. Spring stores the energy of deformation due to applied load and remains its original position, shape or size after the load is removed. Springs are further classified as leaf springs, springs. The design parameters of spring manufacturing consists of spring rate, pitch, free length, wire diameter, flat/round ends, circular ends, number of turns etc. Various researchers have conduct observations on springs with …
Published in Trends in Machine design · Vol. 7, Issue 1, 2020 · pp. 17–22 Read article
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Deploying an IoT-Enabled Smart Grid Automation System for Continuous Optimization and Fault Identification
Abstract: The proposed paper discusses the “integration of IoT in smart grid” which has been elevated facilitating new ideas to facilitate developments of infrastructure for electric power. IoT has been a very important tool for power grids which makes them smarter and more advanced as compared to traditional power grids. This paper focuses on to the prototype designing which will help in finding and monitoring the power, current, voltage, energy consumption, …
Published in Journal of Power Electronics and Power Systems · Vol. 14, Issue 1, 2024 · pp. 01–8 Read article