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952 articles for “Evaluation methods”
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Deadlock Controlling Algorithms for Distributed Database Systems
Abstract: When the demand for a system resource exceeds the system's capacity, deadlock – an operating system problem – results. The problem of deadlock frequently causes a distributed database's performance to lag. This research critically examined two types of deadlock problems that have an impact on a distributed database's performance. Transaction control and transaction location deadlock difficulties were the specific challenges that the article specifically addressed. In this paper, deadlock prevention …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 1, Issue 2, 2023 · pp. 10–17 Read article
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Optimized Machine Learning Framework for Battery State Prediction in Smart Charging Systems
Abstract: Good estimation of battery states, including State-of-Charge (SoC), State-of-Health (SoH), and Remaining Useful Life (RUL), are important in managing energy wisely and controlling the adaptive charging. This work introduces a streamlined machine learning model based on the ability to use multi-dimensional sensor measurements in terms of voltage, current, temperature, and cycle number to forecast battery conditions with high accuracy. Decent preprocessing, such as noise elimination, feature scaling, and calculated features, …
Published in International Journal of Energy and Thermal Applications · Vol. 4, Issue 1, 2026 · pp. 11–23 Read article
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A Reviewed Study On Cpu-Optimized Parameter-Efficient Fine- Tuning For Large Language Models To Increase Accuracy Using Lora
Abstract: The fast proliferation of Large Language Models (LLMs) has increased the need to optimize the process of fine-tuning but the existing workflows that require a GPU are still expensive, intensive, and unavailable to most researchers. This paper is driven by the desire to have a more cost-efficient and democratized version by examining a CPU-efficient implementation of Parameter-Efficient Fine-Tuning (PEFT) based on Low-Rank Adaptation (LoRA). The major purpose of the study …
Published in Recent Trends in Parallel Computing · Vol. 13, Issue 1, 2026 Read article
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Psychological Profile of Patients Undergoing Hemodialysis and Its Association with Physiological Parameters
Abstract: Background: End-stage renal disease (ESRD) is a chronic, progressive condition requiring maintenance hemodialysis, which imposes substantial physiological, psychological, and social burdens on patients. While physiological indicators are routinely monitored during treatment, the influence of psychological factors on these indicators and patients' quality of life remains inadequately explored, particularly in the Indian context. Objective: To investigate the relationship between psychological variables (depression, anxiety, illness intrusiveness, and quality of life) and physiological …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 16, Issue 2, 2026 Read article
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Exploration and Evaluation of Enablers of “Sustainable Freight Transportation” Using Analytic Hierarchy Process (AHP)
Abstract: The main objective of the study is to improve environmental, social, and economic measures. Some other areas of concern of this paper are diminishing the CO2 emissions, effective optimization of the transportation costs and successful utilization of information technology, expanding the freight transportation services, and improving the concept of sustainability in transportation sectors. The focus of this study is on fulfilling sustainable transportation goals, by identifying suitable enablers. Based on …
Published in Journal of Polymer & Composites · Vol. 10, Issue 3, 2022 · pp. S1–S10 Read article
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Solar Spin: BLDC Motor Integration for Sun powered Cycling
Abstract: This project focuses on the integration of a Brushless DC (BLDC) motor into an E-Solar Cycle to enhance its power generation efficiency. The aim is to design and implement a sustainable transportation solution that harnesses solar energy to supplement the electric power generated by the BLDC motor, thereby extending the cycle's range and reducing its dependence on external charging sources. A BLDC motor is used as the propulsion in the …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 15, Issue 2, 2024 · pp. 30–36 Read article
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A Comparative Study of different Techniques to predict Maternal Morbidity and Mortality Model
Abstract: Artificial intelligence (AI) encompasses a range of techniques, including machine learning and deep learning, which are increasingly utilized in the healthcare sector for tasks such as disease diagnosis and drug discovery. To achieve accurate disease diagnosis through AI, it is essential to integrate data from multiple medical sources, including ultrasound imaging, magnetic resonance imaging (MRI), mammography, genomics, and computed tomography (CT) scans, among others. This article presents a comprehensive review …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 1, 2025 Read article
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Exploring the Genetic and Environmental Factors Contributing to Ovarian Cancer in Women in Mumbai, India
Abstract: Background: Ovarian cancer incidence in Mumbai has risen by 30% over the past decade, with an age-standardized rate of 9.1 per 100,000 women, contrasting stable trends in Western nations. This study investigates the interplay of genetic and environmental factors driving this disparity in Mumbai’s diverse population. Methods: A hospital-based case-control study was conducted at a hospital, enrolling 200 epithelial ovarian cancer cases (aged 30–70 years) and 400 age-matched controls. Germline …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 14, Issue 3, 2025 · pp. 12–17 Read article
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“DEVELOPMENT AND CHARACTERIZATION OF PHYTOSOMES FOR THE TREATMENT OF ANTI-CANCER ACTIVITY BY USING THE Spirulina (Arthospira Plantesis) EXTRACT”
Abstract: This study aims to investigate and evaluate spirulina's anticancer properties.The current research is centred on obtaining a Spirulina-containing drug. The goal is to design and create Phytosomes, characterizing them based on relevant and crucial parameters. The process of solvent evaporation was utilized in the creation of Phytosomes. Various parameters such as zeta potential, particle size, infra-red spectral analysis, % drug content, encapsulation efficiency, and % drug release (% DR) were …
Published in International Journal of Antibiotics · Vol. 1, Issue 1, 2024 · pp. 10–22 Read article
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Development and Evaluation of a Novel Polyaniline/Polyvinyl Alcohol/Silver Nanocomposite for Antibacterial Applications: Synthesis and Characterization
Abstract: A novel nanocomposite made up of polyaniline, polyvinyl alcohol, and silver (PAL/PVA/Ag) was synthesized using the reduction of chemical technique in this study. Aniline was polymerized in situ with ammonium persulfate to create polyaniline (PAL), while Ag+ ions were employed to make an nanoparticle of Ag colloidal solution. The combination of Ag nanoparticles with the PAL/PVA composite resulted in the development of a new nanocomposite. Scanning electron microscopy (SEM) and …
Published in Journal of Polymer & Composites · Vol. 11, Issue 3, 2023 · pp. 39–47 Read article
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A Framework for Privacy-preserving AI Models in Cloud Computing: Challenges and Solutions
Abstract: The growing adoption of cloud computing for deploying artificial intelligence (AI) models has led to significant advancements in sectors such as healthcare, finance, and e-commerce. However, the integration of AI with cloud computing raises critical privacy concerns, particularly when handling sensitive data. This paper presents a comprehensive framework for implementing privacy-preserving AI models in cloud environments, addressing the unique challenges, and proposing effective solutions. The suggested framework employs advanced privacy-preserving …
Published in Journal of Operating Systems Development & Trends · Vol. 11, Issue 3, 2024 · pp. 1–12 Read article
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Algorithm for the prediction of cardiovascular disease (CVD)
Abstract: cardiovascular diseases (CVD) still claim a significant number of deaths globally and remain the number one killer with an annual death toll of nearly 17.9 million. While several medical advancements have been made, an early diagnosis is still hard to obtain, which often leads to worsening conditions and intricate treatment options. With the advancement of modern technology, Machine learning has demonstrated to be a miraculous tool which can greatly impact …
Published in Research and Reviews : A Journal of Immunology · Vol. 15, Issue 2, 2025 Read article
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Developing an Assessment Protocol in Ayurvedic Research for Hyperemesis Gravidarum with Special Reference to Garbhini Chardi
Abstract: Garbhini Chardi (nausea and vomiting in pregnancy) is described in Ayurvedic texts as one of the Vyakta Garbha Lakshanas – early physiological signs indicating pregnancy. However, when this symptom becomes excessive, persistent, or distressing, it may transition from a normal event to a pathological condition, requiring timely intervention to safeguard maternal and fetal health. In advanced stages, it leads to day-to-day incapacitation, weight loss, dehydration, and metabolic disturbances – clinically …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 15, Issue 1, 2026 · pp. 44–61 Read article
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Fracture Analysis of Functionally Graded Material (FGM) Plates Using Extended Finite Element Method: A Review.
Abstract: Functionally Graded Materials (FGMs), have drawn a lot of interest in various engineering applications due to their superior mechanical properties and ability to withstand extreme conditions. Fracture analysis in FGMs focuses on understanding how cracks initiate and propagate within these complex materials. The stress distribution becomes irregular due to spatial property variations which produces different crack paths than what occurs in homogeneous materials. The examination of FGM plates under fracture …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 4, Issue 1, 2026 · pp. 9–15 Read article
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Educating Compilers to Learn: Utilizing Machine Learning for More Brilliant Code Optimization
Abstract: This study explores the use of machine learning (ML) approaches to compiler optimization. The now-traditional static compilation techniques are transformed into adaptive, dynamic systems capable of making context-specific advancements. Traditional compilers rely mostly on heuristic or rule-based optimization techniques. While these techniques work well in general cases, they consistently fail to adapt well within the limits of code structures that modern machines display. This limitation is especially acute in today's …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 50–54 Read article
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Assessing Thyroid Disorder Awareness Among Pregnant Women: A Hospital-based Study in Kottayam
Abstract: The current study was carried out at Caritas Hospital to evaluate the knowledge of pregnant women regarding thyroid disorders. The study aimed to assess the level of knowledge about thyroid disorders among pregnant women and to explore the relationship between knowledge levels and selected demographic factors. A total of 194 pregnant women attending the obstetrics and gynecology outpatient department at Caritas Hospital in Kottayam were included using a convenience sampling …
Published in International Journal of Community Health Nursing And Practices · Vol. 3, Issue 1, 2025 · pp. 16–22 Read article
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A Review on Life Cycle Assessment of Solar Photovoltaic Electricity Generation Systems
Abstract: A popular system for calculating the environmental effects of energy systems from conception to death is life cycle assessment, or LCA. As a low-carbon generation technology, solar photovoltaic (PV) systems have fast spread throughout the world. The various PV technologies (monocrystalline, polycrystalline, thin-film), system scales (residential, commercial, utility), industrial locations, balance of system (BOS) configurations, and end-of-life (EoL) scenarios are all covered in this review of published life cycle assessment …
Published in Journal of Control & Instrumentation · Vol. 17, Issue 1, 2026 · pp. 1–6 Read article
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CFD Analysis of Six-Flow Microchannel Heat Sink Using the Different Nanofluid
Abstract: In this study, we compare the heat-conveying capabilities of ordinary water with those of cooling fluids such as Ag-Water, TiO2-water, and Al2O3-water nanofluid at a volume percentage of 0.50%, and we also examine the six flow micro-channels of the fin-equipped heat sink. Hardware like microprocessors and integrated circuits are not used in the comparison. To evaluate the effectiveness of different cooling fluids, a number of thermal metrics are used, such …
Published in Journal of Polymer & Composites · Vol. 11, Issue 11, 2023 · pp. 1–11 Read article
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Deep Learning-Based Pneumonia Diagnosis: A Comparative Review of Models and Metrics
Abstract: Pneumonia is a common viral infection that affects a large percentage of people worldwide. It is more common in developing and impoverished areas because of factors like poor sanitation, crowded living quarters, pollution in the environment, and restricted access to medical facilities. In order to improve survival chances and gain access to therapeutic therapies, pneumonia must be diagnosed as soon as possible. A type of artificial intelligence called deep learning …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 3, 2024 Read article
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Assessing the Impact of a Structured Educational Initiative on Awareness of Vaginitis and Its Prevention Among Adolescent Girls in Selected Higher Secondary Schools in Bengaluru
Abstract: Background and Objectives: Vaginal inflammation, referred to as vaginitis, may culminate in discharge, itching, and pain. Usually, the root cause is an infection or an altered in the balance of the microbes in the vagina. In females between the ages of two and six, poor perineal hygiene—such as wiping after bowel movements from back to front or not washing hands afterward—is an important contributory factor. Another typical sign is frequent …
Published in International Journal of Midwifery Nursing And Practices · Vol. 2, Issue 2, 2024 · pp. 10–21 Read article