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647 articles for “data structure”
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Database-Driven Energy Management in Electric Vehicles
Abstract: With the growing concern over environmental pollution, there is an increasing demand for sustainable and eco-friendly technologies. Among these, electric vehicles (EVs) have emerged as a promising alternative to conventional fossil-fuel-based transportation. However, as EV adoption accelerates, efficient energy management becomes critical to enhance vehicle performance, extend battery life, and ensure overall system reliability. This research presents a Database-Driven Energy Management System (DBEMS) that leverages real-time data from EV components …
Published in Journal of Automobile Engineering and Applications · Vol. 12, Issue 3, 2025 · pp. 19–24 Read article
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Exploring The Therapeutical Potential Of Pongamia Pinnata For Herpes Simplex Virus Type 1 (HSV-1)
Abstract: Objective: Pongamia pinnata (L.), commonly known as Indian beech or pongam tree, is a tropical plant renowned for its medicinal properties in traditional medicine systems. Extracts derived from various parts of Pongamia pinnata have demonstrated antimicrobial, anti-inflammatory, and immunomodulatory activities. Such attributes make it a compelling candidate for exploring its therapeutic potential against HSV infections. Thymidine kinase is the target protein mostly used in the treatment of HSV1 infections. In …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 15, Issue 1, 2025 · pp. 1–9 Read article
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Structure–Property Modeling of Cement-Based Multi-Component Composites Using Ensemble Machine Learning and Explainable Feature Attribution
Abstract: Accurate prediction of compressive strength is central to structure–property optimization, quality control, and sustainability-driven design in cement-based composite materials. Cementitious systems represent heterogeneous multi-phase composites composed of reactive binder matrices and dispersed aggregate phases, whose macroscopic mechanical performance emerges from complex nonlinear interactions among constituents and curing-dependent microstructural evolution. This study develops a data-driven structure–property modeling framework to quantify the nonlinear dependence of compressive strength on multi-component composite composition and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 112–131 Read article
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Integrated Dam Automation: Real-Time Monitoring and Controlling Using IoT
Abstract: Dam automation is a critical area in water resource management, especially given the rising demand for sustainable and safe water control systems. An integrated approach to dam automation involves implementing advanced sensors and monitoring systems to improve structural safety, water quality, and resource management. This paper presents a comprehensive automation model that combines crack detection, convolutional neural networks (CNNs), water level monitoring, turbidity sensing, and rainfall data to ensure real-time …
Published in Journal of Microcontroller Engineering and Applications · Vol. 12, Issue 1, 2025 · pp. 31–38 Read article
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A Study to Assess the Effectiveness of Self-Instructional Module on Knowledge of Electrocardiogram Among Staff Nurse in a Selected Hospital in Mahagaon
Abstract: Objectives: This study aimed to evaluate the staff nurses' knowledge of electrocardiograms (ECG) and to determine the impact of a structured teaching program in improving their understanding of the subject. Methodology: An evaluative research design was employed for this study. The study involved 22 staff nurses chosen through simple random sampling and was carried out at Sant Gajanan Maharaj Rural Hospital, Mahagaon. A structured knowledge questionnaire was used to gather …
Published in International Journal of Evidence Based Nursing And Practices · Vol. 3, Issue 1, 2025 · pp. 7–27 Read article
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Exploring Oroxylum indicum Phytochemicals as VEGFR-2 Inhibitors: A Molecular Docking Approach for Cancer Management
Abstract: Cancer is still a major health problem around the world and is one of the top causes of death. A protein called VEGFR-2 (vascular endothelial growth factor receptor 2) is important because it helps blood vessels grow by supporting the survival, movement, and growth of certain cells. This process is essential for tumors to grow and spread to other parts of the body. This study focused on evaluating the binding …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 3, Issue 2, 2025 · pp. 48–62 Read article
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Factors Affecting Farmers Participation in Soil and Water Conservation Practices at Qenshiben Watershed Central Ethiopia
Abstract: Soil erosion is among the foremost causes of declining soil resources in Ethiopia, which in turn affect agricultural productivity. To limit this problem, for the last two decades’ soil and water conservation measures have been practiced via free labor community mass-mobilization program. Following the launch of the program, farmers massively and voluntarily implemented soil and water conservation measures on the farm lands at different parts of the country. Participation of …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 13, Issue 3, 2024 · pp. 10–22 Read article
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Physics-Informed Generative and Tensor-Based Framework for DNA Sequence Simulation and Genomic Structure Discovery
Abstract: In this paper, we explore the intersection of artificial intelligence (AI) and mathematical physics to propose advanced methods for DNA sequence generation and analysis. Specifically, we investigate how physics-informed Generative Adversarial Networks (GANs) and tensor network representations can be harnessed to restructure DNA for applications in genetic science. The proposed methodology offers a unique integration of concepts of thermodynamic modeling with innovative GAN architecture in order to allow the creation …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 2, 2026 Read article
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A Study to Evaluate the Impact of Nurse-led Intervention on Competency Level Regarding Care of Patients on Mechanical Ventilators Among ICU Nurses Working in Selected ICUs at Pt. Bd Sharma PGIMS Rohtak
Abstract: Introduction: The nurse caring for mechanically ventilated patients must be skilled and possess a deep understanding, along with specialized knowledge, of mechanical ventilators (MV). This study is intended to evaluate the impact of nurse-led intervention on competency levels regarding the care of patients on MV among ICU nurses. Objective: To assess the pre- and post-test knowledge, practices, and attitudes of ICU nurses, evaluate the effectiveness of nurse-led interventions on the …
Published in International Journal of Emergency and Trauma Nursing and Practices · Vol. 2, Issue 2, 2024 · pp. 59–94 Read article
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Passenger car fuel economy: Insights from big data analytics
Abstract: The increasing availability of real-world vehicle telematics through On-Board Diagnostics II (OBD-II) systems has enabled data-driven evaluation of passenger car fuel economy beyond conventional laboratory-based test cycles. While standardized certification procedures ensure repeatability, they often fail to capture the influence of real-world traffic conditions, driver behaviour, and transient vehicle operation. This study presents a structured Big Data Analytics (BDA) approach for analysing high-frequency OBD-II data collected from a gasoline passenger …
Published in Journal of Automobile Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 8–19 Read article
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Cyberattack Detection and Prevention Using Empowering AI Tools
Abstract: With more organizations entering the digital transformation sphere, the opportunities and risks in cyberspace have increased and gone up in levels of sophistication and occurrence. Many of these developments are attributed to the limits of existing cyber security solutions where addressing new threats requires advanced detection technologies and techniques. Cyber threats gained a new meaning and dimension with artificial intelligence (AI) coming into play in ways that supplement security systems …
Published in International Journal of Information Security Engineering · Vol. 2, Issue 2, 2024 · pp. 1–7 Read article
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An Exploratory Investigation into the Understanding of Keratoconjunctivitis Among Staff Nurses at SCPM Hospital in Gonda
Abstract: Background: The primary aim of the present research was to evaluate the comprehension of keratoconjunctivitis among SCPM Hospital staff nurses in Gonda. Methodologically, the study was grounded in the general system theory proposed by Ludwig von Bertalanffy in 1968. To fulfill this aim, a non-experimental descriptive research design was utilized. The study included a sample of 40 SCPM Hospital staff nurses in Gonda who met the predefined inclusion criteria. Purposive …
Published in International Journal of Community Health Nursing And Practices · Vol. 2, Issue 1, 2024 · pp. 10–14 Read article
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A Study to Assess the Stress and Anger Management by Deep Breathing Exercise and Meditation Among Adolescent Nursing Students at a Selected Nursing School in Delhi
Abstract: Introduction: Stress is a response that can lead to physical, emotional, or psychological strain. It is a frequent occurrence in daily life. Stress acts as the body's natural mechanism for defense against potential threats and dangers. It initiates a release of hormones that ready the body's functions to either confront danger head-on or retreat, commonly known as the fight-or-flight reaction. Anger can be caused by both external and internal events …
Published in International Journal of Evidence Based Nursing And Practices · Vol. 2, Issue 1, 2024 · pp. 15–19 Read article
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Instagram Therapists vs. Qualified Mental Health Professionals: How Young Adults Perceive and Navigate Mental Health Advice Online
Abstract: The growing presence of “Instagram Therapists” - individuals who share mental health advice on Instagram without formal qualifications - has raised important questions about the credibility of online mental health information. In contrast, are qualified mental health professionals and licensed practitioners. Existing literature shows a surge in young adults turning to social media for mental health guidance. However, limited research delves into how they perceive and differentiate between advice from …
Published in International Journal of Behavioral Sciences · Vol. 2, Issue 2, 2025 · pp. 26–37 Read article
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Timestamp Extraction and Log Classification Using Supervised Machine Learning: A Comparative Study
Abstract: In modern software systems, logs are vital for monitoring application behavior, diagnosing issues, and analyzing performance. Timestamps are especially important for sequencing events, identifying anomalies, and understanding system failures. However, detecting timestamps in logs is challenging due to inconsistent formatting across systems and the presence of timestamp-like strings in non-timestamp fields. Traditional rule-based methods often fail in such cases. This study proposes a supervised machine learning approach to accurately classify …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 12, Issue 3, 2025 · pp. 26–38 Read article
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The Early Brain Hemorrhage Prediction System Using Machine Learning
Abstract: Brain hemorrhage is a critical medical emergency that requires immediate attention, as delays in diagnosis can result in severe neurological damage or death. The condition involves bleeding within or around brain tissues, leading to increased intracranial pressure and disruption of normal brain function. Although imaging techniques such as CT scans and MRI provide accurate diagnosis, their availability is limited in emergency and rural settings. In recent years, machine learning has …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 16, Issue 2, 2026 Read article
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A Lightweight Cost-Sensitive Explainable Ensemble Framework for Early Heart Disease Risk Prediction
Abstract: Cardiovascular disease is still one of the leading causes of death, and hence, the early prediction of risk is a very important task in preventive medicine. Although recent studies have shown encouraging results in the application of machine learning algorithms to the prediction of heart disease, it has been noticed that most of the algorithms are more concerned with accuracy-driven optimization than the concerns of safety and false negatives. In …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 2, 2026 Read article
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Advances in Polymer-Modified Concrete using XAI
Abstract: Industry 4.0 technologies are being quickly adopted by the construction sector, opening new avenues for enduring operational and environmental issues. This sector looks at how explainable AI can forecast air and enhance the quality of building materials. XAI, AI, ML, and big data drive a new paradigm in polymeric material development. The effective XAI and ML-assisted design creates innovative, high-performance polymeric materials. It covers building a database and representing structures, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 133–144 Read article
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Illuminating the Frontier of Drug Discovery: Unleashing the Power of Bioinformatics for Unprecedented Breakthroughs
Abstract: It takes a long time and a lot of effort to discover and develop new drugs, which necessitates extensive study and testing. With the help of computational techniques and data analysis, bioinformatics has grown to be a potent tool for drug discovery in recent years, allowing researchers to find new drugs faster. In this review, we examine the role of bioinformatics in drug discovery, including the use of ligand- and …
Published in International Journal of Molecular Biotechnological Research · Vol. 1, Issue 2, 2023 · pp. 1–10 Read article
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A Study on the Use of AI and Sensors in Aerospace
Abstract: The synergistic combination of modern sensors including artificial intelligence (AI) has significantly changed the aeronautics industry's ongoing quest for increased safety, efficiency, and autonomy. The examination of the critical role these technologies play throughout the whole aerospace lifecycle from design and production to flight operations and maintenance is examined in this research. The eyes and ears of contemporary aircraft, sensors give an unparalleled amount and quality of real-time data about …
Published in Journal of Aerospace Engineering & Technology · Vol. 16, Issue 1, 2026 Read article