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1940 articles for “pre” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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ML Analysis of Factors Affecting Vaccination in Rural Children: A Machine Learning Approach
Abstract: Vaccination remains one of the most effective public health interventions for preventing childhood diseases, yet rural regions in India continue to experience uneven immunization coverage due to multiple socioeconomic and geographic barriers. This research applies machine learning techniques to identify and analyze the major determinants influencing childhood vaccination uptake in rural communities. The study utilizes survey-based demographic, socioeconomic, and healthcare-related parameters to build predictive models that classify children as vaccinated …
Published in International Journal of Vaccines · Vol. 3, Issue 2, 2026 Read article
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NeoVax: Smart Child Vaccination and Monitoring Platform
Abstract: Child vaccination plays a crucial role in preventing life-threatening diseases and ensuring long-term public health. Despite the availability of structured immunization programs, many children miss scheduled vaccinations due to lack of awareness, busy lifestyles of parents and absence of effective reminder systems. This research paper presents NeoVax, a smart and user-friendly child vaccination reminder and management system designed to address these challenges using digital technology.NeoVax is an Application that enables …
Published in International Journal of Children · Vol. 3, Issue 2, 2026 · pp. 14–20 Read article
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Intelligent Farming: Integrating AI and IoT for Sustainable Agriculture
Abstract: Artificial Intelligence (AI) and the Internet of Things (IoT) are transforming modern agriculture by enabling data-driven, resource-efficient, and climate-resilient farming practices. This review critically examines recent advances in AI-IoT integration across crop production, irrigation management, pest and disease surveillance, and supply chain optimization through an analysis of published literature and documented case studies. The review indicates that AI-assisted predictive analytics combined with IoT-based real-time sensing significantly improves decision-making in precision …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 15, Issue 2, 2026 Read article
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A Smart Framework that Combines Data Mining and Optimization for Different Applications
Abstract: Blending predictive data mining with metaheuristic optimization has become essential for tackling tough, real-world problems across all kinds of fields. Most existing methods stick to fixed algorithms, each focused on a tiny slice of the puzzle, barely budging when new variables or unpredictability show up—especially with messy, human-generated data. So, here’s the idea: a Unified Metaheuristic and Predictive Data Mining (UMPDM) framework that finally connects adaptive search methods with powerful …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 Read article
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Design Conceptualization and Computational Analysis of Cryogenic Engine Nozzle-ABYOM
Abstract: The main purpose of this paper is to design a cryogenic engine nozzle with specified dimensions using CATIA V5 software and analyze the nozzle using ANSYS software. The realizable k-ε viscous model was used for calculation and the Hydrogen (H2) had retained as an ideal gas. The CFD simulations were done on the nozzle to find the pressure, density, velocity, and temperature. In the graph, there are 500 points streamlined …
Published in Journal of Materials & Metallurgical Engineering Read article
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Use of the Computer Statistics in Oncology
Abstract: Currently, the use of computer statistics and computer statistical modeling in oncology for obtaining an accurate diagnosis, determination of the choice of treatment method and its correction in the process of ongoing treatment, prediction of the outcome of the disease, and evaluation of the effectiveness of the chosen treatment tactics is a decisive factor. The use of computer statistics, based on an adapted scientific and statistical package of the SSP …
Published in Research & Reviews : Journal of Statistics Read article
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A Study to Evaluate the Effectiveness of Planned Teaching Program of Environmental Health Among Community People in Selected Rural Area of Gwalior
Abstract: Context: Environmental health is the subfield of public health that focuses on identifying and altering environmental contributors to illness and injury. The state of the environment in a certain area, especially as it relates to ecological diversity and pollution. The purpose of this research was to evaluate the efficacy of an environmental health education program for the local population. This study follows a quantitative research approach for its methodology. The …
Published in International Journal of Evidence Based Nursing And Practices · Vol. 1, Issue 1, 2023 · pp. 23–32 Read article
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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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Effect of Lifestyle Counseling for Women with Gestational Diabetes on Fetal and Maternal Outcomes at Assiut University
Abstract: Gestational diabetes mellitus is a serious and often ignored risk to the health of mothers and children. Aim of the Study: To assess the effect of lifestyle counseling among women with gestational diabetes on fetal and maternal outcomes at Assiut University. Materials and Method: Antenatal care clinics hosted a pre-test and post-test for a quasi-experimental study. Sample: A total of 365 women in total attended antenatal care clinics. Setting of …
Published in International Journal of Women's Health Nursing And Practices · Vol. 1, Issue 2, 2023 · pp. 21–35 Read article
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Urban Eye: Manhole Surveillance with IoT
Abstract: Every nation hopes to implement the idea of the "smart city" on its own. Many different issues must be resolved in order to grow the seed into a large tree. The drainage system is one of them, and it is essential. With the right drainage system, even a tiny region can make a significant contribution to society. A sewer system can be accessed through manholes. Manholes are the best approach …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 1, Issue 1, 2023 · pp. 13–22 Read article
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Evolution of War Technology
Abstract: The continued evolution of combat technology is examined in this research study, which also discusses recent trends, historical developments, and possible future developments in this important area. Throughout history, the quest for military superiority has propelled considerable advancements in warfare technology. This study provides a succinct examination of this evolutionary process, shedding light on historical turning points, modern cutting-edge technologies, and expected future developments in combat. Important advances in the …
Published in Journal of Advancements in Robotics · Vol. 11, Issue 1, 2024 · pp. 25–32 Read article
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A Real-time Visualization Framework to Enhance Prompt Accuracy and Result Outcomes Based on the Number of Tokens
Abstract: In the rapidly evolving domain of artificial intelligence (AI), the efficacy of user-generated prompts has emerged as a critical factor influencing the quality of model-generated responses. Current methodologies for prompt evaluation predominantly rely on post-hoc analysis, which often leads to iterative prompting and increased computational overhead. Furthermore, the challenge of “prompt hallucinations,” where AI models produce irrelevant or nonsensical responses, persists as a significant impediment to effective AI utilization. The …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 1, 2024 · pp. 45–53 Read article
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Protective Effects of Phellinus linteus Polysaccharides Against Radiation-Induced Hematopoietic Damage in Bone Marrow of Mice
Abstract: Chemotherapy and radiation therapy, which are standard methods of treatment for various cancers, often result in suppression of hematopoiesis accompanied by reduction in the number of hematopoietic stem cells and their progeny. We investigated a clinically potential use of Phellinus linteus polysaccharide in the treatment of various cytopenias induced by radiotherapy. Mice were administered Phellinus linteus polysaccharide orally at a dosage of 100 mg/kg once daily for + consecutive days, …
Published in Research and Reviews: A Journal of Medicine · Vol. 14, Issue 1, 2024 · pp. 12–17 Read article
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A Machine Learning Based Artificial Intelligence Model for Detecting Heart Illness
Abstract: This study centers around the improvement of an artificial intelligence- and computerized reasoning-based heart sickness determination framework. We exhibit how AI can help with foreseeing whether an individual will get cardiovascular infection. In this review, a Python-based application for medical care research is created since it is more reliable and helps track and lay out many kinds of well-being observing applications. We show information handling, which incorporates working with all …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 1, 2024 · pp. 50–58 Read article
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Comparison of K-nearest Neighbor and Artificial Neural Network Classifiers for the Detection of Breast Cancer
Abstract: Breast cancer is the most common type of cancer seen in women in the present day, which is also considered a life-threatening disease. If this cancer can be detected in its early stage it can be a lifesaver for many people around the world. Machine Learning techniques have become one of the hotspots for predicting the early diagnosis of breast cancer. This research work experiments with the two most popularly …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 1, 2024 · pp. 78–83 Read article
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Iron Deficiency Anaemia_A Evidence-Based Literature Review
Abstract: Iron deficiency anaemia represents a medical condition characterised by a reduction in the concentration of haemoglobin in the bloodstream below a defined level, according to the World Health Organization. The condition presents itself in two forms: functional IDA and absolute IDA. The former is characterized by normal or elevated total body iron stores, but insufficient iron supply to the bone marrow. At the same time, the latter occurs when total …
Published in Research & Reviews : Journal of Herbal Science · Vol. 13, Issue 1, 2024 · pp. 17–28 Read article
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A Comprehensive Ahp-Topsis Approach For Non-Traditional Machining Process Selection In The Manufacturing Sector
Abstract: Non-traditional machining processes (NTMPs) are being used more widely in modern industry as a result of the increased use of advanced materials in that sector. Selecting the best Non-Traditional Machining Process (NTMP) is essential to a manufacturing company's success and competitiveness. One way to think of the process of choosing the best NTMP for a given machining processes application is as a multi-criteria decision-making (MCDM) problem with a lot of …
Published in International Journal of Manufacturing and Production Engineering · Vol. 2, Issue 1, 2024 · pp. 1–8 Read article
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Evaluating the Impact of Information Education and Communication Package on Knowledge and Attitude Regarding Reproductive and Sexual Health among Late Adolescent Girls in Selected Colleges at Madurai
Abstract: A quasi-experimental study was carried out to assess the effectiveness of an Information, Education, and Communication (IEC) package on the knowledge and attitudes related to reproductive and sexual health among late adolescent girls attending colleges in Madurai. The study aimed to: assess the changes in knowledge and attitudes before and after the intervention in both control and experimental groups, evaluate the effectiveness of the IEC package, investigate the correlation between …
Published in International Journal of Evidence Based Nursing And Practices · Vol. 2, Issue 1, 2024 · pp. 26–32 Read article
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Assessment of Knowledge Regarding Venous Thromboembolism Prophylaxis Among Staff Nurses at Intensive Care Units in a Selected Hospital in Palakkad
Abstract: The present study was conducted to assess the knowledge regarding venous thromboembolism prophylaxis among staff nurses in intensive care units in a selected hospital in Palakkad. The objectives of the study were to assess the knowledge regarding venous thromboembolism prophylaxis among staff nurses in intensive care units, and to associate nurses’ knowledge regarding venous thromboembolism prophylaxis with sociodemographic variables. A quantitative, nonexperimental descriptive exploratory research design was selected. Thirty samples …
Published in International Journal of Emergency and Trauma Nursing and Practices · Vol. 2, Issue 1, 2024 · pp. 14–21 Read article
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Plants Disease Detection Using TensorFlow and OpenCV
Abstract: Growing healthy and productive crops is crucial in the global battle for food security. To minimize crop losses and apply timely control measures, early and precise diagnosis of plant diseases is essential. Conventional illness detection techniques are subjective, labor-intensive, and complicated; they frequently rely on eye inspection. The TensorFlow and OpenCV libraries are used in this study to explore the use of Convolutional Neural Networks (CNNs) for plant disease discovery. …
Published in Journal of Electronic Design Technology · Vol. 15, Issue 1, 2024 · pp. 31–38 Read article