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1509 articles for “Integration Method”
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Time Series Methods in Meteorology: A Review of Predictive Models and Applications
Abstract: The accurate prediction of time series data holds substantial significance in various fields, enabling informed decision-making and resource optimization. In this study, temperature variations over time are predicted using the Autoregressive Integrated Moving Average (ARIMA) model. Reliable temperature projections are more important now than ever because of climate change and its effects. For time series prediction problems, the ARIMA model—which is well-known for its ability to capture temporal dependencies in …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 13, Issue 2, 2024 · pp. 35–46 Read article
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An Integrated Application of Remote Sensing, GIS and VES for Artificial Recharging at Watershed from South Solapur Taluka, Solapur District, Maharashtra
Abstract: Over growing demand of water has led scientific community to plan augmentation of ground water by various methods. The objectives achieved in present study are to arrest run-off and silt flow, to facilitate infiltration of water. The study area considered is a small Micro Watershed from South Solapur District which is Drought prone zone. The study was an attempt to delineate the possible recharge zone for groundwater and also to …
Published in Journal of Geotechnical Engineering · Vol. 9, Issue 3, 2022 · pp. 1–18 Read article
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Liposome and Its Method of Preparation: A Review
Abstract: Liposomes are spherical vesicles that self-assemble and range in size from 20 nm to 10 m. They can be used as drug carriers for lipophilic, hydrophilic, and amphiphilic medications. Lipophilic and amphiphilic drugs can be encapsulated inside the lipophilic bilayer, whereas hydrophilic drugs can be integrated into the aqueous heart. Many liposomal preparations are currently undergoing clinical trials, with some of them being accepted for clinical use. By altering the …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 12, Issue 2, 2025 · pp. 25–30 Read article
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Bridging Polymer Science and the Circular Economy: Innovative Business Models for Sustainable Plastic Alternatives
Abstract: It involves the application of polymer science, circular economy principles, and sustainable business models to change the industrial environment in an environmentally friendly manner, which the study focuses on. It will also carry out a rigorous investigation into the potential of bio-based, biodegradable, and recyclable materials and how to integrate them into business models that can be sustainable. The theoretical basis of the study includes the theory of the circular …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 202–217 Read article
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Comparative Analysis of Proposed FCM Clustering Integrated Enhanced Firefly-Optimized Algorithm (En-FAOFCM) for MR Image Segmentation and Performance Evaluation
Abstract: Image segmentation has a significant responsibility in diagnosis and treatment of diseases. To scan patients and determine the severity of certain injuries in hospitals, magnetic resonance imaging (MRI) method is normally used. This paper emphasizes on comparative study of segmentation techniques for segmenting MRI brain images. In this regard, to group the pixels of images in the intensity space, unsupervised clustering techniques are used. Here enhanced firefly algorithm is used …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 3, Issue 1, 2016 · pp. 32–44 Read article
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Enhancing Fire Performance of Steel Reinforcement in RCC Structures: A Comprehensive Investigation
Abstract: The assessment, repair, and rehabilitation of fire-damaged structures have become crucial due to the rise in significant building fires.This particular field necessitates proficiency in various domains including concrete technology, material science and testing, structural engineering, and repair materials and processes. Researchers and developers are currently engaged in extensive efforts to tackle the challenges related to improving the fire resistance of steel reinforcement in reinforced concrete (RCC) structures. These endeavors involve …
Published in Journal of Structural Engineering and Management · Vol. 10, Issue 1, 2023 · pp. 33–40 Read article
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Medically Important Hemiptera: Bed Bugs and Kissing Bugs in Human Health.
Abstract: Bed bugs (family Cimicidae) and kissing bugs (subfamily Triatominae) are hematophagous Hemiptera of major medical importance, yet they differ markedly in their public health impact. Bed bugs have resurged globally over the past three decades, with infestations reported from homes, multi-unit housing, hotels, transportation, and healthcare facilities in both high and low-income settings. They are not established biological vectors of human pathogens, but their bites cause pruritic papules, urticarial, and …
Published in International Journal of Insects · Vol. 3, Issue 1, 2026 · pp. 41–49 Read article
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Comparative Study of Dosimetry Methodology and Software Tools for Personalized Radionuclide Therapy
Abstract: Purpose: The aim of this review article is to collate the detailed insight of different dosimetry methodology and non-commercial /commercial dosimetry software tools, along with clinical study explored by specific authors, published in recent peer-review journals. The present work is segmented in three sections: i) Literature review of various dosimetry methodologies to evaluate absorbed dose in personalized radionuclide/ radiopharmaceutical therapy. ii) Technical as well as comparative information related to commercial …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 10, Issue 3, 2021 · pp. 9–27 Read article
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Examining the Benefits of Hybrid Solar Systems for the Production of Sustainable Energy
Abstract: A state-of-the-art energy solution, the hybrid solar system combines solar photovoltaic (PV) panels and solar thermal collectors to provide an effective and flexible method of capturing solar energy. The hybrid solar system maximises the use of sunshine to produce energy and heat concurrently by integrating two technologies. While solar thermal collectors catch solar heat energy and transform it into useful thermal energy for a variety of purposes, solar PV panels …
Published in International Journal of Energy and Thermal Applications · Vol. 1, Issue 1, 2023 · pp. 7–13 Read article
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Analysis of White Matter, Gray Matter, and Cerebrospinal Fluid Alterations in Neurological Disorders: A Deep Learning Approach
Abstract: This paper investigates the role of white matter (WM), gray matter (GM), and cerebrospinal fluid (CSF) alterations in the pathophysiology of neurological disorders, including Alzheimer’s disease, Parkinson’s disease, schizophrenia, and epilepsy. By leveraging advanced deep learning methodologies, we aim to automate the segmentation and analysis of brain structures from MRI scans, enabling a more detailed and precise evaluation of their roles in disease progression. These techniques allow for the identification …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 14, Issue 3, 2024 · pp. 21–27 Read article
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Early Life Nutrition as a Determinant of Long-Term Vaccine Immunogenicity in Livestock: Mechanisms, Practical Strategies, and Species-Specific Considerations
Abstract: Early life represents a critical period for immune system development in livestock, during which nutritional exposures can exert long lasting effects on vaccine immunogenicity. Although vaccination is a cornerstone of infectious disease control in food producing animals, marked variability in vaccine induced immune responses is frequently observed under commercial conditions. Growing evidence suggests that this variability is partly driven by differences in early nutritional status, which can influence immune maturation, …
Published in International Journal of Vaccines · Vol. 3, Issue 1, 2026 · pp. 15–26 Read article
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CIPHER Intelligence: AI-Powered Global Military Expenditure Analysis and Predictive Modeling
Abstract: Military expenditure analysis has emerged as a critical component of economic and geopolitical intelligence in the modern era. This paper presents CIPHER Intelligence, a comprehensive AI-powered platform for analyzing and predicting global military spending patterns across 211 countries spanning54 years (1970-2024). We employ advanced machine learning techniques, particularly Random Forest regression models, to achieve 99.5% prediction accuracy for military expenditure forecasting based on economic indicators. The platform integrates data from …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 1, 2026 · pp. 1–8 Read article
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Evaluation of Lippu Ointment and Market Sample for Skin Hydration and Emolliency
Abstract: Skin hydration and emolliency levels are the two important aspects of skin. The balance of these shows the skin integrity. The water and oil level present in skin i.e., in stratum corneum determines the hydration and Emolliency. There are various methods present to measure moisture and emollient levels. Measuring oil and moisture level of skin is simple and reliable method to understand the variations in the skin when treated with …
Published in Research and Reviews: A Journal of Medicine · Vol. 8, Issue 1, 2018 · pp. 23–26 Read article
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Open-Source AI Agent Frameworks: A Comparative Performance Analysis
Abstract: The rapid growth of agentic AI has led to a diverse ecosystem of open-source frameworks for developing LLM-based agents. These frameworks differ in their approaches to state management, multi-agent coordination, tool orchestration, memory, and workflow execution. This paper presents a comparative analysis of prominent open-source AI agent frameworks, including LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, and related systems. The study synthesizes a common architectural model to identify the core components …
Published in Journal of Open Source Developments · Vol. 13, Issue 2, 2026 · pp. 23–33 Read article
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Integrating Value Education into Curriculum Development: A Comprehensive Approach
Abstract: In today's educational landscape, the necessity of incorporating value education into curriculum development has garnered heightened attention. This abstract delineates a holistic approach towards achieving this integration, acknowledging the fundamental role of values in shaping both individuals and societies. Through the integration of values within the curriculum, educational institutions strive to nurture students not merely academically, but also ethically and emotionally. The proposed approach commences with a meticulous examination of …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 14, Issue 2, 2024 · pp. 13–19 Read article
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Aerodynamic Optimization of UAV Wings Using Machine Learning
Abstract: Unmanned Aerial Vehicles (UAVs) are increasingly deployed across defense, transportation, agriculture, and environmental monitoring, demanding improved aerodynamic efficiency to enhance endurance, stability, and payload capacity. Traditional aerodynamic optimization approaches, relying on computational fluid dynamics (CFD) simulations and wind tunnel experiments, are often time-consuming and computationally expensive. This study proposes a machine learning (ML)-driven framework for the aerodynamic optimization of UAV wing geometries, aiming to significantly reduce design cycles while improving …
Published in International Journal on Drones · Vol. 2, Issue 1, 2026 · pp. 1–7 Read article
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Hybrid Quantum-Classical Reinforcement Learning Enabled Thermal-Aware Electronic Design Automation Framework for Energy-Efficient Next-Generation VLSI Systems Applications
Abstract: Modern Very Large-Scale Integration (VLSI) systems are becoming more complicated, which has increased need for sophisticated Electronic Design Automation (EDA) frameworks that can concurrently optimise thermal behaviour, power consumption, and performance. This study proposes a Hybrid Quantum-Classical Reinforcement Learning (HQCRL) Enabled Thermal-Aware EDA Framework for next-generation energy- efficient VLSI systems. The proposed framework integrates quantum-inspired optimization techniques with classical reinforcement learning algorithms to address the challenges of placement, routing, and …
Published in Journal of Electronic Design Technology · Vol. 17, Issue 2, 2026 · pp. 10–22 Read article
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Development of an Integrated System Prototype to Improve Decisions in Land Use Planning and Management in Ethiopia, Hawzen
Abstract: Constitutional land use planning provides a means of legal control over changes in land use and provides an opportunity to allocate land use to areas best suited to that activity. However, since land use planning is not surveying properly and essentially only deals with suggestions to improve land use system. Land use planning and resource management is a challenging task to many developing countries, due to limited technical resource. Currently …
Published in Journal of Remote Sensing & GIS · Vol. 8, Issue 1, 2017 · pp. 41–52 Read article
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Advancements in Battery Storage Technology for Renewable Energy Systems: Improving Reliability and Efficiency of Sustainable Energy
Abstract: Advances in battery storage technology are critical to improved reliability and efficiency of renewable energy systems, underpinning a sustainable energy future. Innovations exist in many different kinds of battery technologies- being developed and tested, and the leading contenders include innovations such as lithium-ion and sodium-ion, and much newer entrants like the solid-state and lithium-sulfur batteries. These developments respond to growing needs for sustainable solutions towards better integration of intermittent renewable …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 17, Issue 2, 2026 Read article
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Genetic Variability and Statistical Methods: Key Insights for Computational Genetics Research
Abstract: Genetic variability, defined as the differences in DNA sequences among individuals, serves as the foundation of evolutionary biology and plays a pivotal role in species’ adaptability, resilience, and overall survival. Advances in genomic technologies, particularly high-throughput sequencing, have enabled unprecedented exploration of genetic diversity, fostering the growth of computational genetics. This interdisciplinary field combines statistical methods and computational tools to analyze genetic data, identify patterns, and link phenotypes to genotypes. …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 3, 2024 · pp. 19–23 Read article