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273 articles for “methodological techniques”
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Detection and Classification of Brain Tumor from MRI And CT Images using Harmony Search Optimization and Deep Learning
Abstract: Primary brain tumor detection and classification are critical factors in ensuring effective treatment and, ultimately, improving patient well-being. This paper describes a novel method for detecting and classifying brain tumors with the help of magnetic resonance imaging (MRI) and computed tomography (CT) images. The suggested method combines harmony search optimization (HSO) and Convolution Neural Networks (CNN) based on deep learning techniques, yielding an impressive accuracy rate of 99.13% for both …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 3, 2024 · pp. 31–49 Read article
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Recent Advances in Quality Control and Quality Assurance: Enhancing Pharmaceutical Product Integrity and Compliance
Abstract: The pharmaceutical industry is undergoing a paradigm shift driven by stringent regulatory expectations and the demand for high-quality, safe, and efficacious drug products. Quality Control (QC) and Quality Assurance (QA) serve as the two foundational pillars that ensure pharmaceutical integrity from raw material acquisition through to product release. Traditional QC and QA practices, while effective, have been challenged by complex formulations, biologics, and personalized medicine, requiring innovative methodologies and technologies. …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 16, Issue 2, 2025 · pp. 54–62 Read article
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Development and Performance Evaluation of Hybrid Solar Water Heating and Distillation Systems for Sustainable Water Supply: A Comprehensive Review
Abstract: This review article delves into the comprehensive examination of hybrid solar water heating and distillation systems, underscoring their pivotal role in addressing global water and energy challenges. With the increasing scarcity of clean water and the growing demand for sustainable energy solutions, these hybrid systems offer a promising dual-purpose approach. The article synthesizes the latest advancements in technology, design methodologies, and performance evaluation metrics, providing a holistic view of the …
Published in Recent Trends in Fluid Mechanics · Vol. 11, Issue 1, 2024 · pp. 8–19 Read article
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A Machine Learning-based Analysis of Climate Change
Abstract: Climatic variations are a pressing global challenge that demands immediate and comprehensive attention. A wealth of articles has been published on climate change mitigation and adaptation, yet there remains a need for innovative methods to explore the complexities of climatic variations and to devise more efficient and effective strategies for adjustment and alleviation. With technological advancements, machine learning (ML) and deep learning (DL) approaches have derived significant popularity across various …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 13, Issue 2, 2024 · pp. 1–10 Read article
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Testing of Efficiency of Wind Turbine Blade NACA2415 Aerofoil Type Using Recycled Carpet Waste Polymer Composite Material
Abstract: In 2020, over 50% of residential properties in the United States were outfitted with carpet flooring, boasting an average longevity ranging from 10 to 18 years. Carpets are crafted from various fibers, including woven nylon, polyester, polypropylene, or wool fibers. Historically, nearly 6 billion pounds of discarded carpets were directed to landfill sites, perpetually undergoing decomposition processes. My current project entails the fabrication of a wind turbine blade utilizing a …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 314–324 Read article
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Effectiveness of Deep Breathing Exercise on Respiratory Parameters Among Post Extubated Patients Admitted in ICUs
Abstract: Introduction: Deep breathing exercises may be used to restore lung oxygenation ventilation function and are anticipated to enhance respiratory parameters. Aim: This study was done to examine the effectiveness of deep breathing exercise on respiratory parameters among post extubated patients. Methodology: A quasi experimental (pre-test, post-test control group) with quantitative approach study was conducted to assess the effect of deep breathing exercise on respiratory parameters among 30 post extubated patients …
Published in Research and Reviews: A Journal of Health Professions · Vol. 14, Issue 2, 2024 · pp. 25–31 Read article
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Review on Computer-Aided Drug Design in RAS Inhibitor Discovery
Abstract: This review explores the utilization of computer-aided drug design (CADD) methodologies in the discovery of inhibitors targeting the RAS pathway, a pivotal signaling cascade implicated in various cancers. Through an extensive examination of computational tools, methodologies, challenges, and recent advancements, this review aims to provide insights into the role of CADD in accelerating RAS inhibitor discovery. The discovery of effective inhibitors targeting the RAS pathway is of paramount importance in …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 11, Issue 3, 2024 · pp. 7–14 Read article
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Assessment of Soil Heavy Metal Contamination Using Proximal Spectroscopy and Hyperspectral Remote Sensing: A Brief Review and Potential Application in Vietnam
Abstract: Soil contamination by heavy metals is a pressing global environmental concern, impacting ecosystem health, agricultural productivity, and human well-being. In Vietnam, rapid economic growth and industrialisation exacerbate these concerns, with diverse landscapes and intensive land use practices increasing susceptibility to heavy metal pollution. This study provides an overview of the assessment of soil heavy metal contamination, focusing on proximal spectroscopy and hyperspectral remote sensing techniques and their potential application in …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 2, 2025 · pp. 48–57 Read article
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Role of Quantum Chemistry in Catalysis: A Comprehensive Review
Abstract: Catalysis plays a crucial role in modern chemical manufacturing, energy conversion, and environmental protection by enabling chemical reactions to occur more rapidly, selectively, and with reduced energy consumption. A fundamental understanding of catalytic processes at the atomic and electronic levels is essential for the rational design and optimization of catalysts. Quantum chemistry has emerged as a powerful theoretical and computational framework that enables detailed investigation of electronic structure, reaction energetics, …
Published in Journal of Catalyst & Catalysis · Vol. 13, Issue 1, 2026 · pp. 01–16 Read article
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A Descriptive Study to Assess the Knowledge Regarding Sexual Abuse Among Adolescent Girls at Government Senior Secondary School, Shri Goindwal Sahib
Abstract: Introduction: Sexual abuse, also known as molestation, is characterized by one individual engaging in abusive sexual behavior towards another. This can involve the use of force or the exploitation of the other person. Molestation typically denotes a single occurrence of sexual assault, particularly against a young child, while sexual abuse is a term used to describe an ongoing pattern of such assaults. This term encompasses actions by an adult or …
Published in Journal of Nursing Science & Practice · Vol. 14, Issue 1, 2024 · pp. 28–33 Read article
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Detecting Fake Accounts on Social Media Using Machine Learning
Abstract: The growing frequency of fake accounts on social media platforms underscores the critical necessity for effective detection methods. In response to this challenge, our study leverages state-of-the-art machine learning techniques to identify and counter deceptive entities effectively. By conducting a thorough analysis of social media data, our approach unveils intricate patterns indicative of fraudulent accounts, enabling proactive measures against them. Through the application of advanced algorithms, we present a comprehensive …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 11, Issue 2, 2024 · pp. 21–32 Read article
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An Investigative Study on Cache-Oblivious Data Structures
Abstract: Cache-oblivious data structures and data management systems have emerged as critical components in modern computing environments, aiming to optimize memory access patterns across different levels of the memory hierarchy without explicit knowledge of cache sizes or configurations. This study presents an overview of cache-oblivious techniques, including adaptive data structures, compression, parallel processing, and security considerations. The workexplores future directions in cache-oblivious systems, such as non-volatile memory support, graph processing, edge …
Published in International Journal of Data Structure Studies · Vol. 1, Issue 2, 2023 · pp. 33–37 Read article
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Effect of Valsalva Maneuver Prior to Cannulation on Pain Among Patients Undergoing Peripheral Venous Cannulation
Abstract: Peripheral venous canulation is the common nursing procedure carried out which cause soreness to the recipient. Previous experience of peripheral venous cannulation may result in negligence or delay in need of medical care. Valsalva Maneuver is a non-pharmacological and cost- effective method to decrease intensity of pain during peripheral venous cannulation. Aim: To assess the effect of Valsalva Maneuver prior to cannulation on pain among patients undergoing peripheral venous cannulation. …
Published in Research and Reviews : Journal of Surgery · Vol. 13, Issue 2, 2024 · pp. 1–6 Read article
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Implementing Blockchain to Enhance Security in the Pharmaceutical Industry and Combat Drug Counterfeiting
Abstract: Drug counterfeiting has emerged as a critical threat to public health, as it has enabled inferior and counterfeit drugs to flood many markets around the world thereby eroding trust in healthcare systems and patient safety. This paper seeks to address the glaring need for adequate security safeguards to curb the circulation of counterfeit drugs by proposing a blockchain model designed specifically for the pharmaceutical industries. In general, the idea of …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 1, 2025 · pp. 33–46 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 Read article
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Predictive Modeling and Optimization of Tensile and Flexural Strength in FDM 3D Printing Using Decision Trees and Bayesian Optimization.
Abstract: This research investigates predictive modelling and optimization technique for the tensile and flexural strength of PlA (Poly Lactic Acid) in Fused Deposition Modelling (FDM) 3D printing. Employing Decision Trees and Bayesian Optimization enhances comprehension and control of 3D printing process. Precise model predicts PLA material properties based on input parameters. Methodology involves rigorous data preprocessing, encompassing, cleaning, transformation, and normalization. Hyperparameter optimization via grid search systematically explores configurations, optimizing model …
Published in Journal of Polymer & Composites · Vol. 11, Issue 12, 2023 · pp. 203–214 Read article
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Association Between Smartphone Addiction and Functional Exercise Capacity in College Students
Abstract: Smartphone addiction has become increasingly prevalent among college students and is associated with various negative physical and psychological outcomes. Functional exercise capacity, a key indicator of physical fitness and health, may be adversely affected by excessive smartphone use due to sedentary behavior and reduced physical activity. This article examines the association between smartphone addiction and functional exercise capacity in college students by analysing behavioral, psychological, physiological, and methodological perspectives. Evidence …
Published in International Journal of Orthopedic Nursing and Practices · Vol. 4, Issue 1, 2026 Read article
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Performance, Combustion and Emission analysis of Sunflower oil based Biodiesel using Non-Dominated Sorting Genetic Algorithm-II
Abstract: Biodiesel is used as alternate fuel of I. C. Engines for so many years. It is obtained from various edible and non-edible oils including waste cooking oils through trans-esterification process in the presence of catalyst. The suitable amount of biodiesel mix with commercial diesel can be used to run the compression ignition engines. The optimum combination of engine input parameters is the challenging task as required by the design engineer …
Published in International Journal of Energy and Thermal Applications · Vol. 1, Issue 1, 2023 · pp. 1–6 Read article
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AI Hindi Poem Generator
Abstract: The Hindi Poetry Generator project represents a pioneering initiative in the domain of computational creativity, blending machine learning algorithms and natural language processing methodologies to craft poetic expressions in the Hindi language. Rooted in the vast landscape of Hindi literature, this project harnesses the power of deep learning models to generate evocative and culturally significant poetry. At its core, the system relies on neural networks and sophisticated language modeling techniques …
Published in Recent Trends in Programming languages · Vol. 11, Issue 2, 2024 · pp. 10–16 Read article
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Develop a Data Science Approach for Optimizing Energy Consumption
Abstract: Optimizing energy consumption has become a critical challenge in the era of sustainability and increasing energy demand. Efficient energy management is essential to address environmental concerns, reduce costs, and ensure resource availability for future generations. This project leverages data science techniques to evaluate and improve energy consumption across diverse sectors, including residential, industrial, and commercial domains. By integrating advanced analytics, machine learning models, and real-time data processing, the project aims …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 31–44 Read article