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1463 articles for “Integration Method”
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Dynamic Performance Enhancement of Polymer Composites through Metaheuristic machinining optimization
Abstract: This work aims to provide an optimization of meta-heuristic algorithms in order to improve the dynamic behavior of composite materials utilized in various practical engineering tasks. Based on the Comprehensive literature review it has been observed that composite sandwich panels with PVC foam cores accomplished mechanical characteristics superior than those ones that were produced on PU foam core mainly in flexural, compression, and impact tests Thus the study establishes the …
Published in Journal of Polymer & Composites · Vol. 12, Issue 2, 2024 · pp. 114–129 Read article
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Advances in Polymeric In Situ Drug Delivery and Soft Biosensors: Innovations in Biochemical Sensing and Personalized Healthcare
Abstract: Advanced healthcare and personalized medicine are undergoing a transformation thanks to in situ medication delivery systems and biochemical sensor technology. Polymeric in situ drug delivery systems form gels upon administration, releasing medications in a controlled manner and providing benefits such as ease of administration and enhanced patient compliance. Similarly, advancements in soft electronics, including flexible and stretchable biosensors, enable continuous, in situ biochemical monitoring, conforming to complex biological environments like …
Published in International Journal of Cheminformatics · Vol. 2, Issue 1, 2024 · pp. 27–32 Read article
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Cutting-edge Deep Learning Methods for Predicting and Detecting Cardiovascular Diseases
Abstract: Cardiovascular diseases (CVDs) remain a major global health issue, highlighting the need for improved early detection and risk assessment methods. This research investigates the efficacy of both deep learning and traditional machine learning methods in forecasting cardiovascular diseases (CVDs). We evaluate a variety of models, including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Multilayer Perceptrons (MLPs), Long Short-Term Memory (LSTM) networks, as well as Logistic Regression (LR), Decision Trees …
Published in Recent Trends in Parallel Computing · Vol. 11, Issue 2, 2024 · pp. 36–42 Read article
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Integrating Human-Centric Principles into Machine Design: Ergonomic and Safety Enhancements in Mechanical Systems
Abstract: The integration of human-centric design (HCD) principles into mechanical systems has become increasingly critical in contemporary machine design. As machines become more complex and operate within high-interaction environments, the need for design strategies that prioritize human safety, usability, and comfort has intensified. This review explores how ergonomic insights, safety standards, and user experience (UX) considerations influence the physical configuration, control mechanisms, and operational safety of mechanical systems across industrial, healthcare, …
Published in Trends in Machine design · Vol. 12, Issue 2, 2025 · pp. 33–37 Read article
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Fuzzy Logic Driven Nutrition-based Recommendation System for Gujarati Cardiac Patients: Integrating Cultural Preferences and Patient Feedback
Abstract: This article focuses on developing a comprehensive dataset for accurate dietary recommendations tailored to Gujarati cardiac patients' needs. The dataset comprises nutritional details of over 90 Gujarati food and fruit products, meticulously collected through primary and secondary data collection methods. Each food item's nutritive values, including proteins, carbohydrates, fats, fiber, and calories, are meticulously recorded to facilitate precise dietary recommendations. The dataset integrates cultural preferences and seasonal variations in food …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 1, 2024 · pp. 59–83 Read article
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Implementing a GPS, GSM, and Arduino-Based System for Alcohol Detection and Engine Locking
Abstract: The use of alcohol detection and engine locking systems in vehicles has become a crucial area of technological innovation aimed at enhancing road safety and reducing incidents of driving under the influence (DUI). This provides an overview of the functionality, technology, and impact of such systems.Alcohol detection and engine locking systems are sophisticated technologies integrated into vehicles to prevent operation by an intoxicated driver. These systems utilize various methods for …
Published in Journal of Mechatronics and Automation · Vol. 10, Issue 2, 2023 · pp. 34–41 Read article
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Elevating Seamless Housing Navigation with Precise Recommendations for Personalized Rental Experiences
Abstract: The demand for rental housing has increased significantly in recent years, making more effective and individualized methods of housing navigation necessary. Renters become frustrated and ineffective when using traditional ways of researching rental houses since they frequently involve manual searches and little customization. By using sophisticated recommendation systems to deliver exact recommendations catered to user preferences, this research article suggests a novel way to improve house navigation. The proposed approach …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 3, 2024 · pp. 50–62 Read article
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Next-generation Operating Systems: AI-driven Autonomy, Quantum Integration, and Edge Computing
Abstract: The rapid evolution of computing paradigms is driving the need for next-generation operating systems that seamlessly integrate artificial intelligence, quantum computing, and edge processing. Traditional operating systems, while efficient for classical computation, lack the necessary capabilities to handle real-time AI-driven decision-making, quantum processing, and decentralized edge networks. This study explores how future operating systems will incorporate AI-driven autonomy to enhance resource management, quantum integration to leverage superior computational power, and …
Published in Journal of Operating Systems Development & Trends · Vol. 12, Issue 1, 2025 · pp. 25–36 Read article
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Integration of a Population Balance Model into Bubble Column: CFD Approach
Abstract: A computational fluid dynamics (CFD)-code ANSYS FLUENT 15.0 has been implemented using finite volume method in eulerian framework for the simulation of axisymmetric transient flow in bubble column. The population balance has been included to solve for the bubble flow and size distribution for the population of six different bubble sizes in the CFD code. A fixed pivot method of Ramakrishna [ANSYS FLUENT 15.0] has been used to discretize the …
Published in Recent Trends in Fluid Mechanics · Vol. 3, Issue 1, 2016 · pp. 1–8 Read article
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Development of Compact RF Filters for Modern Wireless Communication Systems
Abstract: Modern wireless communication systems such as 5G, 6G, Internet of Things (IoT), satellite communication, radar systems, and smart wireless networks require compact and highly efficient RF filters for reliable signal transmission and interference suppression. RF filters are important components that allow desired frequency signals to pass while rejecting unwanted frequencies and noise. With the rapid growth of wireless devices and limited spectrum resources, the demand for miniaturized, low-loss, multi-band, and …
Published in Journal of Microwave Engineering and Technologies · Vol. 13, Issue 2, 2026 Read article
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A Novel Approach Integrated Dc To Dc Fast Charging Module
Abstract: This paper presents a wide variation of input dc voltage. It is a “step-up” inverter, meaning that only one power stage works at high frequency in order to achieve minimum switching loss. When input dc voltage is lower than the magnitude of the ac voltage, it is a voltage-source inverter, and on it is current-source inverter in the other mode. The leakage current caused by the capacitance can be reduced …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 9, Issue 2, 2022 · pp. 26–32 Read article
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A Novel Conflict-Free Efficient Memory-Based Real FFT Processor using UTB
Abstract: AbstractWe present “A Novel Conflict-Free Efficient Memory-Based Real Fast Fourier Transform (RFFT) using Urdhva Tiryagbhayam Butterfly”. In this paper different FFT lengths for address schemes are integrated that supports FFT processing which are used in diverse systems such as telecommunications. Address methods for various FFT lengths are coordinated in this paper to help FFT processing for different frameworks like broadcast communications. The memory bank and address can be produced by …
Published in Journal of VLSI Design Tools and Technology · Vol. 9, Issue 3, 2019 · pp. 1–11 Read article
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The Impact of Nutrition on Sports Performance and Academic Success: A Study Among University Athletes – Eastern Technical University of Sierra Leone
Abstract: University athletes operate within dual-performance environments that require simultaneous academic and athletic excellence. Nutrition plays a critical role in supporting both physiological performance and cognitive functioning; however, limited empirical work has examined its combined influence on athletic and academic outcomes within university athlete populations, particularly in low-resource contexts. This study aimed to investigate the relationship between nutritional practices, sports performance, and academic achievement among university athletes at the Eastern Technical …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 15, Issue 1, 2026 · pp. 16–27 Read article
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Advances in Deep Learning for Medical Image Analysis in the Era of Precision Medicine
Abstract: Medical imaging is fundamental to modern healthcare but analyzing the high-dimensional data requires advanced techniques. Manual image interpretation is time-consuming, subjective and limited in detecting complex patterns and minute details. Recent breakthroughs in Deep Learning offer transformative advances for unlocking clinically relevant information from medical images. This paper provides a comprehensive 6000+ word review of the current state-of-the-art Deep Learning techniques for medical image analysis including detailed coverage of key …
Published in Research and Reviews : Journal of Computational Biology · Vol. 12, Issue 2, 2023 · pp. 10–23 Read article
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Exploring Potential Phytochemicals for Myasthenia Gravis Treatment: A Molecular Docking and ADME Analysis Approach
Abstract: Objective: Muscle feebleness and exhaustion derived from a disruption in neuromuscular transference are hallmarks of the crippling autoimmune disease myasthenia gravis (MG). The drawbacks of the current MG therapy options are frequently partial efficacy and adverse effects. To investigate the potential of phytochemicals in MG control, in this work we integrated molecular docking with ADME (absorption, distribution, metabolism, and excretion) analysis using a computer method. We identified molecules exhibiting favorable …
Published in International Journal of Molecular Biotechnological Research · Vol. 2, Issue 2, 2024 · pp. 1–13 Read article
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Fraud Detection in Government Procurement Using Machine Learning
Abstract: Fraud represents a significant challenge in the realm of procurement, with estimates indicating that between 12 and 30% of global procurement budgets are lost to fraudulent activities (OECD, 2023). The pervasive nature of procurement fraud, which may encompass a range of deceptive practices such as bid rigging, invoice fraud, and procurement kickbacks, not only undermines the integrity of financial operations but also results in substantial losses for organizations. These losses …
Published in Journal of Open Source Developments · Vol. 12, Issue 2, 2025 · pp. 19–34 Read article
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Direct Tuning Method for Optimization of PID and I-PD Parameters
Abstract: Existing work proposed a new and practical approach of tuning of a controller in a closed-loop process plant. The approach is a direct tuning method, termed as Extended Fictitious Reference Iterative Tuning (E-FRIT). Now, we propose to generate the reference model from the closed-loop data, where the order of the reference model is decided based on the process dynamics of the closed-loop data. That makes the model maximum possible fit …
Published in Journal of Instrumentation Technology & Innovations · Vol. 4, Issue 3, 2014 · pp. 14–22 Read article
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Securing CFA Images through the Simultaneous Hybrid Encryption-Watermarking Method Using Quaternions
Abstract: In order to protect digital data against unauthorized copying, falsification and redistribution over the internet, we proposed a new hybrid method of simultaneous encryption-watermarking of CFA (Color Filter Array) images. The CFA images are important for image analysis because these raw images have not undergone any process (interpolation, demosaicking, etc.) that might alter their reliability. This article presents a study of a new technique for the secure transfer of CFA …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 8, Issue 3, 2021 · pp. 17–28 Read article
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Thermo-Structural Machine Learning Framework for Malicious Sample Detection and Validation in Polymer Composite Materials
Abstract: The increased use of polymer composites in aerospace, automotive, biomedical and industrial applications has increased the urgency of developing dependable methods to detect malicious samples with counterfeited resins, unauthorized additives, recycled components, hidden flaws, or purposefully degraded physical properties. Most current machine learning techniques have focused either on isolated spectral analysis or detecting flaws in materials; as such, they are unable to perform joint verification of both chemical authenticity and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Record Linkage in Knowledge Discovery Process Using Angle Based Machine Learning
Abstract: Record linkage is a critical data cleansing step in the knowledge discovery process, aimed at identifying and resolving inconsistencies across datasets. This study proposes an enhanced record linkage framework tailored for uncertain and large-scale data using a combination of distance measurement, probabilistic modeling, and semantic reasoning. A novel angle-based distance measurement technique is introduced to optimize matching between candidate records. To further boost match accuracy, a Finite Mixture Model (FMM) …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1157–1170 Read article