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1930 articles for “improvement” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Polymeric Actions to Make Recycled Aggregate of Concrete Improved
Abstract: Recycling construction materials of concrete, steel, and steel scraps is an essential technique to promote sustainable material flow. The restricted reuse of recycled concrete aggregate (RCA) can be justified, even in part, by the impact on strength and durability of new RCA-based concrete, instead of natural aggregates. Various research has been conducted on improving RCA effectiveness, in particular resistance and water absorption to disintegration. Application of polymer-dependent therapy was used …
Published in Journal of Polymer & Composites · Vol. 11, Issue 14, 2023 Read article
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Design and Development of an Automatic Blower System for Improved Efficiency in Industrial Applications
Abstract: The design and development of an automatic blower system to improve productivity in manufacturing processes are presented in this research article. The suggested system employs advanced control algorithms and sensors to improve the blower's function while minimizing energy usage. The goal of the research is to automate the blower system's operation by incorporating intelligent features, which will decrease the need for human intervention and increase overall efficiency. Experimental results reveal …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 1, Issue 1, 2023 · pp. 10–14 Read article
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Stress based topology optimization of axial tubes under impact to improve energy absorption
Abstract: The present study is aimed at designing a stress constrained topology optimized tube to improve the specific energy absorption (SEA) and reduce the peak crushing force. The research was aimed to develop an axial tube to withstand high impact loads thus improving the crash worthiness of the structure. Crash analysis of a 3D deformable circular tube having different thickness of 0.5 mm, 1 mm, 1.5 mm and 2 mm with …
Published in Journal of Polymer & Composites · Vol. 12, Issue 4, 2024 · pp. 210–220 Read article
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Analysis of Polyhouse Parameter to improve Agriculture efficiency Using PLC and SCADA
Abstract: Climate change brought on by pollution, global warming, etc. has impacted the agriculture sector's yield recently. The fact that our farmers continue to use conventional practices is another factor. On the other side, one of the primary problems this research focuses on employing green technology, namely poly home farming, is the depletion of resources like land and water. Therefore, the study in this paper focuses on applying end-to-end solutions to …
Published in International Journal of Advanced Control and System Engineering · Vol. 1, Issue 2, 2023 · pp. 1–7 Read article
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Novel Structure of Driving Coil to Improve the Performance of Reluctance Type Electromagnetic Launcher
Abstract: An electromagnetic launcher has established itself as the system with great potential against the traditional propulsion system in power system, industry, space and defence-based applications. The performance of these launchers is represented by the force exerted on the projectile of the launching system. Better the force better is the impact of projectile. Present field of research aims to the improvement of reluctance coilgun type electromagnetic launcher based on the novel …
Published in Trends in Electrical Engineering · Vol. 14, Issue 1, 2024 · pp. 11–24 Read article
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Improvement of mechanical properties for PMMA based Denture material
Abstract: Denture material properties can be improved by various fiber addition. The most often used denture materials are polymethyl methacrylate (PMMA) resins; nevertheless, they do not have a high flexural strength (FS). This investigation compared the mechanical characteristics of an injection-molded polyamide. Deflex, an additional injection-molded PMMA base material, SRIvocap, and a typical compression-molded PMMA (Meliodent). The flexural qualities (deflection, bending strength, and bending modulus) of 100 different denture base materials …
Published in Journal of Polymer & Composites · Vol. 12, Issue 3, 2024 · pp. 155–165 Read article
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Enhancing Profanity Detection in Dravidian Languages: Leveraging Language Models for Optimization and Improvement
Abstract: Detecting and documenting instances of abusive behaviour can significantly improve the quality of virtual environments. Given the vast amount of content published daily on social media, it is impractical for human annotators to manually identify potentially harmful content. Recent algorithmic initiatives, especially on platforms like Twitter, have advanced in abuse detection. However, for Dravidian texts, there remains a need to understand the context better and build robust language models for …
Published in Recent Trends in Programming languages · Vol. 11, Issue 2, 2024 · pp. 17–23 Read article
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Deep Learning Applications in Bone Fracture Detection for Improved Radiographic Diagnostics
Abstract: Bone fracture detection is a critical aspect of medical diagnostics, traditionally relying on manual interpretation of radiographic images by experienced radiologists. This discipline has undergone a revolution with the introduction of machine learning (ML), which can improve accuracy, shorten diagnosis times, and lessen human error. This study investigates the use of different machine learning methods to enhance and automate the identification of bone fractures in radiography pictures. We utilized a …
Published in International Journal of Optical Innovations & Research · Vol. 2, Issue 2, 2024 · pp. 17–22 Read article
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The Effectiveness of a Nurse-led Cervical Cancer Prevention Program Among Reproductive-age Women in Selected Areas of Chennai
Abstract: Background: Cervical cancer remains a major global health issue, significantly impacting women's health. Early detection and preventive measures through screening, along with enhanced awareness, are vital in lowering mortality rates associated with this disease. This study aimed to evaluate the effectiveness of a nurse-led cervical cancer prevention program in improving knowledge and practice related to cervical cancer prevention among women. Methods: This quasi-experimental study was conducted with 60 women divided …
Published in International Journal of Oncological Nursing and Practices · Vol. 2, Issue 2, 2024 · pp. 6–13 Read article
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Evaluating Pain and Quality of Life Improvement in Endometriosis: A Prospective Interventional Study
Abstract: Background: World-wide about 10% of reproductive-age women affects with endometriosis, drastically reducing their quality of life. This study assessed the effectiveness of a combination medicinal and lifestyle intervention approach in controlling endometriosis-related pain and enhancing quality of life. Methods: A prospective interventional study was conducted with 350 women diagnosed with endometriosis between August 2022 to September 2024. Participants received a structured intervention combining hormonal therapy, pain management, and lifestyle modifications. …
Published in Research and Reviews: A Journal of Medicine · Vol. 15, Issue 1, 2025 · pp. 38–45 Read article
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Artificial Intelligence for Improved Healthcare: A Case Study and Applications
Abstract: Artificial intelligence (AI) in healthcare ushers in a revolutionary period of innovation, but it also brings with it significant ethical dilemmas. This paper explores the complex relationship between AI and healthcare, emphasizing both its useful applications and the moral conundrums that arise. Ethical issues span a wide range, including patient privacy, transparency, accountability, and the unintentional reinforcement of biases in AI algorithms. Privacy concerns take center stage as healthcare providers …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 1, 2025 · pp. 1–12 Read article
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Transfer Learning in Deep Learning Models for Medical Imaging: Utilizing Pretrained Models to Improve Performance in Medical Image Analysis
Abstract: Transfer learning is now a trending technique in deep learning, especially in medical imaging. This technique solves landmark problems by utilizing the pre-trained models, including the limited availability of the annotated medical data and the time-consuming computational costs of training deep learning models from scratch. The generalizability of deep models could increase diagnostic precision for specific medical tasks, require fewer samples to train, and take less time to train due …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 1, 2025 · pp. 67–85 Read article
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Investigations On Use of Poly(3,4-Ethylenedioxythiophene): Poly (Styrene Sulfonic Acid) (PEDOT: PSS) Conductive Polymers for Design of Improved EEG Based Brain Computer Interface for Seizure Control and Analysis
Abstract: This research explores the application of Poly(3,4-ethylenedioxythiophene):poly(styrene sulfonic acid) (PEDOT:PSS) conductive polymers in the design of an enhanced Electroencephalography (EEG)-based Brain-Computer Interface (BCI) for seizure control and analysis. PEDOT: PSS, known for its high conductivity, flexibility, and biocompatibility, is employed to improve the efficiency and sensitivity of EEG electrodes, addressing challenges such as signal noise, skin-electrode impedance, and user comfort. The study evaluates the material’s properties, including its electrical conductivity, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 223–241 Read article
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Effectiveness of PTFE-Based Nano-coatings in Improving Corrosion and Wear Resistance of Stainless Steel
Abstract: Polytetrafluoroethylene (PTFE) has emerged as a highly effective material for enhancing the durability and performance of metal surfaces, particularly in environments requiring superior corrosion resistance and low friction. This study investigates the application of PTFE coatings on various metallic substrates, with a focus on stainless steel and carbon steel, to improve their corrosion resistance, wear protection, and tribological performance. Utilizing advanced deposition techniques such as sol-gel and plasma spray, PTFE …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 2, Issue 2, 2024 · pp. 32–38 Read article
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Role of Reinforcement Learning in Improvement of Semiconductor Doping
Abstract: The semiconductor industry faces increasing challenges in achieving optimal doping profiles as device dimensions shrink and performance requirements intensify. Traditional doping optimization methods, while effective, often struggle with the complex, multi-dimensional parameter spaces characteristic of modern semiconductor manufacturing. This study explores the transformative role of reinforcement learning (RL) in improving semiconductor doping processes, examining how RL algorithms can autonomously optimize doping parameters to enhance device performance, reduce manufacturing costs, and …
Published in Journal of Semiconductor Devices and Circuits · Vol. 12, Issue 2, 2025 · pp. 23–34 Read article
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Effectiveness of a Dental Exercise Protocol in Improving Forward Head Posture: A Case Series in Young Adults
Abstract: Background: Forward Head Posture (FHP) is a common postural disorder in young adults, often exacerbated by extended screen time and poor ergonomic practices. Neuromuscular interactions between the cervical spine and mandibular system may contribute to FHP. Objective: This case series investigates the effectiveness of a dental exercise protocol in improving FHP and mandibular function in college-aged individuals. Methodology: Five participants (3 males, 2 females; ages 18–24) with CVA ≤53° underwent …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 15, Issue 3, 2025 Read article
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DR. REVIVE: An AI-Powered Medical Recommendation System for Optimised Resources and Improved Patient Care
Abstract: Dr. Revive is an AI-powered medical recommendation system designed to enhance virtual healthcare interactions by connecting patients, doctors, and healthcare stakeholders. Leveraging advanced machine learning algorithms, it analyses user-reported symptoms to provide initial medical recommendations, serving as a reliable first point of guidance. With access to a comprehensive medical database, the platform delivers accurate and timely advice, empowering patients while supporting healthcare professionals with data-driven decision-making. By offering a complete …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 3, 2024 · pp. 1–10 Read article
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Improving The Accuracy of Medical Diagonosis Detection Using Machine Learning
Abstract: While accurate and timely medical diagnosis is a fundamental aspect of effective health care delivery, traditional methods have not been able to overcome major hurdles such as inefficiencies in data analysis with Gi Human Error as well as limitations in scalability. The “Improved Accuracy of Medical Diagnosis Detection Using Machine Learning” project seamlessly integrates advanced machine learning (M L) technologies with efficient preprocessing and feature selection techniques to outperform all …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 3, 2025 · pp. 1–8 Read article
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Simultaneous Improvement of Mechanical Properties and Thermal Stability of Polyvinyl Chloride Nanocomposite by Magnesium Aluminum-Layered Double Hydroxide
Abstract: The application of nanoclays in polyvinyl chloride (PVC) is limited as the organic modifier of conventional nanoclays can degrade PVC. Using usual nanoclays could reduce thermal stability due to the catalytic effects on PVC degradation, so the main chalenge is to find suitable nanoclay for PVC. The effects of two nanoclays, MgAl-layered double hydroxide and alkylammonium-modified montmorillonite, were studied on the mechanical properties of PVC nanocomposites. Dioctyl phthalate (DOP)-plasticized PVC …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 825–837 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