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775 articles for “experimental method”
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Rotation Invariant Copy-Move Image Forgery Detection Using a Method Based on Fuzzy-Zernike Moments
Abstract: AbstractWithout leaving any visual clue, digital images are easy to manipulate due to the availability of countless editing software packages. Any image manipulation can become a forgery. Copymove forgery is a very common method of creating forge images by copying some part of the image and pastes it on the same image. In this paper, we propose a copy-move digital image forgery detection method using Fuzzy-Zernike Moments. The proposed method …
Published in Journal of Computer Technology & Applications · Vol. 7, Issue 2, 2016 · pp. 58–68 Read article
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Research on Adversarial Disturbance Based on Meteorological Time Series Data
Abstract: When the deep learning model is used to predict time series data, it is easy to be adversarially attacked. The time series data is sensitive to the abnormal disturbance and has strict requirements on the disturbance amount. To solve these problems, we propose to generate adversarial time series by adding disturbance terms to the original time series, and design an adversarial attack algorithm based on the importance measure (AAIM in …
Published in Journal of Industrial Safety Engineering · Vol. 9, Issue 3, 2022 · pp. 1–19 Read article
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Experimental and Numerical Investigation of Corrosion-Induced Failures in Copper-Tin Alloy (Cu-Sn) and Aluminum-Magnesium Alloy (Al-Mg) Connectors: A Stress–Corrosion Coupling Analysis
Abstract: The utilization of an integrated experimental and finite element modelling (FEM) methodology, this study investigates the degradation and failure mechanisms in polymer composite electrical connectors exposed to aggressive environmental conditions. Epoxy- and polyamide-based composites, reinforced with carbon and glass fibers, were subjected to accelerated salt spray and humidity–temperature cycles to simulate prolonged outdoor exposure. Electrochemical and environmental aging experiments revealed that chloride ions and moisture ingress were responsible for matrix …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 366–379 Read article
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A Quasi-Experimental Investigation of The Effects of Two Different Negative Pressure Levels During Open Endotracheal Tube Suctioning on Physiological Parameters in Mechanically Ventilated Patients in The PCCM ICU At Pt. B.D. Sharma P.G.I.M.S., Rohtak
Abstract: Introduction: Patients who are intubated often have difficulty clearing secretions through coughing. As a result, endotracheal suctioning is essential to minimize the risk of consolidation and atelectasis, which could impair ventilation. However, suctioning can pose several risks and complications, including bleeding, infection, atelectasis, hypoxemia, cardiovascular instability, increased intracranial pressure, and potential damage to the tracheal mucosa. The level of negative pressure applied during suctioning plays a crucial role in the …
Published in International Journal of Emergency and Trauma Nursing and Practices · Vol. 2, Issue 2, 2024 · pp. 29–58 Read article
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Optimisation of Biodiesel synthesis process from various edible oils using KOH and NaOH as homogeneous catalysts
Abstract: In the present experimental study, an optimization of biodiesel production from different kinds of edible oils (Palm oil, Cotton-seed oil and Sunflower oil) using KOH & NaOH as homogenous catalyst has been investigated by one step transesterification method. The research study was conducted into two parts. In the first experimental study, different types of edible oils (Sunflower oil, Cottonseed oil and Palm oil) have been optimised using KOH and NaOH …
Published in Emerging Trends in Chemical Engineering · Vol. 11, Issue 2, 2024 · pp. 69–77 Read article
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Engine Performance Analysis of Cottonseed Based Biodiesel Using Design Expert Statistical Based Tool
Abstract: Biodiesel is a biofuel acquired by substance forms from vegetable oils or creature fats and liquor that can be utilized in diesel engines alone or mixed with diesel oil. It is characterized as the mono-alkyl esters of unsaturated fats got from vegetable oils or creature fats. In basic words biodiesel is the item that gotten when vegetable oil or creature fat is artificially responded with a liquor to deliver unsaturated …
Published in International Journal of Industrial and Product Design Engineering · Vol. 1, Issue 1, 2023 · pp. 1–5 Read article
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Assessment of the Impact of a Structured Educational Program on PCOS Knowledge Among Adolescent Girls in a Chosen Area of Tarn Taran District, Punjab
Abstract: Polycystic ovary syndrome (PCOS) is a health condition characterized by elevated levels of androgen hormones, irregular menstrual patterns, and the existence of small cysts on one or both ovaries. The disorder can be morphological or biochemical. Prevention of PCOS includes lifestyle modifications that are to manage weight, exercise, and dietary changes. Aim and Objectives: The main goal of this study was to assess the efficacy of a structured educational program …
Published in International Journal of Women's Health Nursing And Practices · Vol. 1, Issue 2, 2023 · pp. 36–41 Read article
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Lighting Design in Office Spaces: Illuminating the Path to Productivity and Well-being
Abstract: Lighting design in office spaces refers to the intentional planning and implementation of lighting solutions within a workplace environment to meet the functional, aesthetic, and psychological needs of occupants. This research paper delves into the intricate connection between lighting design, mood regulation, and productivity levels within office spaces. Through a comprehensive analysis of existing literature, it investigates how various aspects of lighting, including colour temperature, intensity, distribution, and dynamics, influence …
Published in International Journal of Environmental Planning and Development Architecture · Vol. 2, Issue 1, 2024 · pp. 38–53 Read article
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Machine Learning Approaches for Phishing Detection: A Comparative Study
Abstract: These days, everyone has an internet addiction. All of us have used the internet for banking, booking, recharging, and buying. Phishing is a type of website threat that exists online. On the original website, phishing is an attempt to illegally obtain information such as login ID, password and credit card information. In this research, we proposed an efficient phishing detection system based on machine learning. Overall, the experimental findings demonstrated …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 1, 2024 · pp. 35–45 Read article
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Robust Classification of Traffic Signs Using Relief Feature Reduction Technique
Abstract: Ensuring driver safety amidst the rapid growth of global population and vehicular density continues to be a paramount challenge for transportation authorities and governments worldwide. With the rise of smart mobility solutions and autonomous driving technologies, the ability to detect, classify, and respond to traffic signs accurately has become critically important, especially under diverse and adverse environmental conditions such as rain, fog, or poor lighting. Reliable traffic sign recognition not …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 3, 2025 · pp. 30–37 Read article
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Aspect-Based Sentiment Analysis Using a Hybrid Approach with Dependency Parsing
Abstract: The rapid expansion of digital communication has resulted in an unprecedented volume of consumer-generated textual data across online reviews, social media platforms, forums, and e-commerce websites. Extracting meaningful insights from this data is increasingly important for organizations seeking to understand customer opinions, preferences, and behavioral trends. Despite significant advances in sentiment analysis, many existing approaches primarily focus on surface-level features and often overlook deeper syntactic and semantic relationships within text. …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 1, 2026 · pp. 01–09 Read article
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Parametric Study of Laser Drilling Process Using Multi Variable Regression Analysis
Abstract: The laser drilling process is an advanced manufacturing technique extensively employed for intricate and high-value components in aerospace, automotive, and electronics industries. Laser drilling technology offers opportunities to meet the contemporary demands of industries using a broad spectrum of engineering materials. However, this process encounters several engineering challenges such as thermal damage, dimensional inaccuracies, and the formation of a recast layer in the drilled components. This study focuses on examining …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1000–1015 Read article
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Disaster Impact Assessment Using Multi-Sensor Satellite Data: An AI-Based Remote Sensing Approach
Abstract: Natural disasters such as floods, earthquakes, and wildfires cause significant damage to human life and infrastructure every year. Rapid and accurate assessment of the affected areas is essential for effective disaster response and recovery planning. Traditional image-based analysis using single-sensor data often fails under adverse conditions such as cloud cover, smoke, or poor lighting. To overcome these limitations, this study proposes a novel framework for disaster impact assessment using multi-sensor …
Published in International Journal of Satellite Remote Sensing · Vol. 4, Issue 1, 2026 · pp. 10–22 Read article
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Evaluating the Impact of a Video-Assisted Teaching Program on Knowledge and Attitudes About Teenage Pregnancy Prevention Among Fortunetellers Community Women in a Selected Region of Madurai District
Abstract: This research aims to evaluate the efficacy of a video-assisted teaching program in preventing teenage pregnancy, gauge participants' knowledge and attitudes regarding teenage pregnancy prevention, explore the relationship between their knowledge and attitudes, and examine how demographic variables correlate with pre-test knowledge and attitudes. The research hypotheses were formulated to determine their significance. A survey of the literature was done and organized based on studies related to teenage pregnancy. The …
Published in International Journal of Evidence Based Nursing And Practices · Vol. 2, Issue 1, 2024 · pp. 26–31 Read article
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Effect of Cryogenic Treatment on Wear Characteristics of T42 High Speed Steel
Abstract: In this study cryogenic treatment is performed on AISI T42 HSS material and its wear characteristics are studied. Test of treated and untreated samples is taken on pin on disc wear testing machine at different loads and RPMs. The wear of the sample is measured. The wear resistance of the samples is also measured by weight loss method. The results are tabulated. An experimental effort to evaluate tool wear improvement …
Published in Journal of Materials & Metallurgical Engineering · Vol. 6, Issue 2, 2016 · pp. 70–79 Read article
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Skills Regarding Health Teaching among Nursing Students
Abstract: Background: Health teaching is the key resource in the nursing workforce that is able to provide health information in the community area. Health teaching and skill development are an essential part of the nursing curriculum. Community hospital experience allows a student’s nurse to improve their skills. With a view of this present study was conducted to assess the skills regarding health teaching among nursing students studying in Saraswati Nursing Institute, …
Published in Research and Reviews: A Journal of Health Professions · Vol. 9, Issue 3, 2019 · pp. 26–30 Read article
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Youthful Students’ Perception of The Nursing Profession: A Preliminary Single-group Research
Abstract: Aim: This study had four objectives: (1) examine how adolescents perceive nursing before and after organized teaching programs; (2) examine how adolescents perceive nursing after structured teaching programs; (3) compare pre-test and post-test results to assess the efficacy of a structured teaching program; (4) relate the mean improvement in nursing image to particular demographic factors. Background: This study assists in identifying potential areas for improvement or any potential interventions to …
Published in International Journal of Community Health Nursing And Practices · Vol. 1, Issue 2, 2023 Read article
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Effect of Processing Methods and Fiber Content on Mechanical and Abrasive Wear Performance of Sisal Fiber/PLA Biocomposites
Abstract: AbstractIn this work, an attempt is made to study the effect of processing methods and fiber content on mechanical properties and abrasive wear behavior of polylactide-based biocomposites reinforced with sisal fiber. Three processing methods namely film-stacking, melt- impregnation and solvent-impregnation were used for fabricating unidirectional sisal fiber- reinforced biocomposites. The impact of processing methods and fiber content on biocomposites was assessed through evaluation of mechanical properties, viscoelastic behavior and abrasive …
Published in Journal of Polymer & Composites · Vol. 1, Issue 3, 2013 · pp. 1–9 Read article
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A Quasi-Experimental Study to Assess the Effectiveness of STP on Hazardous Effect of Smoking Among Adult in PDM University, Bahadurgarh, Haryana
Abstract: Background & Objectives: The study's objective is to evaluate the impact of STP on adults' understanding of the harmful effects of smoking at PDM University in Bahadurgarh, Haryana. Materials & Methods: The current study used a quasi-experimental research design as its approach. With 40 individuals total—20 for the experimental group and 20 for the control group—the study utilized a purposive sampling approach in order to select its sample. Sociodemographic characteristics …
Published in Journal of Nursing Science & Practice · Vol. 13, Issue 1, 2023 · pp. 58–64 Read article
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Early Detection of Alzheimer’s Disease Using Machine Learning Techniques
Abstract: Alzheimer's Disease (AD) is a progressive neurodegenerative condition impacting a large global population. Detecting AD early is critical for timely intervention and effective management. Conventional diagnostic approaches involve cognitive assessments and neuroimaging, which are often lengthy, costly, and prone to human error. In this paper, we propose a novel approach for early detection of AD using machine learning techniques applied to multimodal data, including neuroimaging, cognitive assessments, and biomarkers. Our …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 14, Issue 2, 2024 · pp. 32–43 Read article