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476 articles for “test data”
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Assessment of the Post-Harvest Chicken Egg Handling Practices in Gamo and Konso Zones of South Ethiopia
Abstract: The study was conducted starting from September to December 2024 in two districts of South Ethiopia with the objective of assessing the prevailing post-harvest chicken egg handling practices, storage materials, duration of storage, and marketing in the rural household. An aggregate of 120 family units were selected randomly from selected peasant area and interviewed by pre-tested questionnaires. The collected data were analyzed by Statistical Package for Social Sciences (SPSS, 2010) …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 3, 2025 · pp. 61–69 Read article
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Webpage Extraction and Retrieval Chatbot
Abstract: Web scraping is a fundamental technique for automating data extraction in big data applications. While multiple implementations exist, few leverage Python’s Beautiful Soup library for efficient and structured data retrieval. This project aims to develop a web scraper and retrieval system that extracts relevant information from web pages, stores it in a vector database (Milvus), and enables intelligent querying using semantic search and generative AI. The system is designed to …
Published in International Journal of Satellite Remote Sensing · Vol. 3, Issue 2, 2025 · pp. 1–7 Read article
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Mechanical Strength Prediction of Nano-Silica Concrete Composites Using Machine Learning Techniques
Abstract: Nano-silica, or nanosilica, refers to silicon dioxide nanoparticles, which are a kind of silica (SiO₂) with diameters that often fall below 100 nanometers. This nanomaterial has attracted considerable attention because of its distinctive characteristics and diverse array of uses, notably in augmenting the performance of materials such as concrete. The integration of nanoparticles with cementitious matrix in nano-silica concrete offers a viable approach to improving the mechanical characteristics and longevity …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 963–973 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
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Study of an Improved Quantum Particle Swarm Optimization-Based Framework for Neural Network Optimization in Modelling of Polymer Data
Abstract: The accurate forecasting of polymer viscosity at various physicochemical conditions has been quite critical due to the nonlinear interactions and interrelations between the variables. This paper suggests a better hybrid modelling framework, which involves the use of Artificial Neural Networks (ANN) and more advanced versions of Quantum Particle Swarm Optimization (QPSO) to better predict polymer viscosity. The input parameters taken are, namely, log (shear rate), polymer concentration, NaCl concentration, Ca …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Trend Analysis of Long-Term Rainfall Data for Monsoon Season of Kharun Catchment
Abstract: This research paper investigates the trends in monsoon season rainfall over a 31-year period (1990–2021) using the non-parametric Mann–Kendall test. A range of statistical methods were utilized to analyze the rainfall data, providing valuable insights into its temporal patterns and trends. The correlation coefficient, measured by Kendall's Tau, exhibited a minimal positive correlation of 0.004 between years and their corresponding rainfall, quantities. This implies a slight tendency for increased rainfall …
Published in International Journal of Rural and Regional Development · Vol. 3, Issue 1, 2025 · pp. 12–17 Read article
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Convolutional Neural Network Based Ripeness Detection of Fruits
Abstract: The accurate and efficient assessment of fruit ripeness plays a crucial role in ensuring the quality of fruits and optimizing supply chain management. This paper presents a novel approach for the automated detection of apple and banana ripeness using Convolutional Neural Networks (CNNs). The suggested method supports the capability of CNNs to learn hierarchical features from images, variations in color and shape associated with different ripeness stages. The online dataset …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 13, Issue 2, 2024 · pp. 30–36 Read article
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Comparative Evaluation of Fiber-Reinforced Composite and Elastic Fiber Posts in Reinforcing Peri-Cervical Dentin: an In-Vitro Study
Abstract: This study evaluates the fracture resistance of short-fiber reinforced composite and elastic fiber posts compared to conventional hybrid composites in reinforcing peri-cervical dentin of endodontically treated teeth. Methods: The crowns of thirty single-canal mandibular premolars were resected to achieve a dimension of 4mm from 1mm below the highest point of the proximal cervical line. In Group 1, teeth underwent endodontic treatment with gutta-percha filled up to the cement-enamel junction (CEJ) …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 143–149 Read article
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Effectiveness of Muscle Energy Technique Versus Conventional Therapy on Hamstring Tightness Among Sportspersons: A Comparative Study
Abstract: Background: Hamstring tightness is a frequent musculoskeletal concern among athletes, often contributing to limited flexibility, decreased performance levels, and a higher likelihood of sustaining injuries. Muscle energy technique (MET) has gained attention as a therapeutic approach aimed at enhancing muscle length and improving overall function. Objective: This study aims to evaluate and compare the effectiveness of the MET with that of traditional physiotherapy methods in alleviating hamstring tightness in sportspersons. …
Published in International Journal of Orthopedic Nursing and Practices · Vol. 3, Issue 2, 2025 · pp. 23–27 Read article
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Evaluating the Impact of a Structured Teaching Programme on Knowledge About Endometriosis Among First-Year Degree Students in a Chosen College in Wayanad District
Abstract: Introduction: The primary objective of this study is to evaluate the impact of a structured teaching program on the understanding of endometriosis among female students enrolled in the first year of a chosen degree arts and science college in Wayanad district. The specific goals include evaluating the baseline knowledge about endometriosis among first-year degree students in the selected college and determining the effectiveness of the structured teaching program in enhancing …
Published in International Journal of Midwifery Nursing And Practices · Vol. 2, Issue 1, 2024 · pp. 20–24 Read article
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Detecting Fake Images with Python: A Simple Approach Using OpenCV and MD5
Abstract: In today’s modern era, ensuring the authenticity of pictures is crucial. This article presents a straightforward method for identifying fake pictures using the widely used OpenCV and MD5 technologies. OpenCV helps us examine pictures for irregularities such as abnormal colors or shapes, while MD5 is a unique digital fingerprint for each image. Our approach combines these tools to create a robust fraud detection system. OpenCV carefully examines various aspects of …
Published in Journal of Operating Systems Development & Trends · Vol. 11, Issue 1, 2024 · pp. 45–49 Read article
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Transcript Summarizer of YouTube Videos Using Deep Learning
Abstract: Transcriber Sum is a deep learning-based YouTube transcript summarization tool. It employs advanced machine learning techniques to automatically generate concise summaries of YouTube video transcripts, enabling users to quickly grasp the key content and insights of videos without the need to watch or read the entire transcript. This Transcriber Sum addresses the challenge of providing users with concise and informative summaries of video content by harnessing the power of deep …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 3, 2024 · pp. 119–126 Read article
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Advanced Anomaly Detection in Cloud Infrastructures Using Deep Learning Algorithms
Abstract: It is critical to guarantee the stability and security of cloud environments as cloud computing is becoming the backbone of contemporary IT infrastructures. Neglecting to quickly identify and resolve anomalies, which might point to security breaches, performance problems, or system breakdowns, can lead to disastrous outcomes. The increasing size and complexity of cloud infrastructures are challenging the effectiveness of traditional anomaly detection methods. These approaches often depend on rule-based systems …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 1–11 Read article
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Exploring the Mechanical Characteristics of Three Natural Composite Materials (Kenaf, Sisal, and Banana with Almond shell, Glass, and Silicon carbide fillers): A Comparative Evaluation
Abstract: The current global demand for lightweight, long-lasting, and economically efficient materials is of unprecedented magnitude. Industry sectors including aircraft, automotive, construction, and sports are constantly adapting to fulfil these requirements. Natural composites refer to materials obtained from natural sources that utilise two or more separate components to form a material with improved characteristics. In numerous industries, natural composites offer a potential and ecologically sound alternative to synthetic materials by harnessing …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 492–502 Read article
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Impact of Anxiety and Affect on Quality of Life among Youth
Abstract: Youth well-being is an important phenomenon comprising physical, psychological, and social health, where the psychological factors such as anxiety and affect play an essential role in determining Quality of Life (QOL). Young people experience multiple transitions and they are at risk of anxiety disorders that in turn can have adverse effects on academic achievement, physical health, emotional well-being and relationships. Furthermore, affect has a role in the management of emotions …
Published in International Journal of Education Sciences · Vol. 3, Issue 1, 2026 · pp. 1–13 Read article
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Unveiling the Relationship Between Anxiety and Self-Esteem in Adult Populations
Abstract: The purpose of this study was to investigate the intricate connection between anxiety and self-esteem in adult Delhi National Capital Region (NCR) residents. A purposive sample approach was employed to select seventy people from this region. The study measured participants' self-worth and gathered pertinent background data using the Rosenberg Self-Esteem Scale (RSES) and a sociodemographic data form. In the data analysis, a t-test was employed to assess significant differences between …
Published in International Journal of Children · Vol. 2, Issue 2, 2025 · pp. 35–44 Read article
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Automated Machine Learning System for Model Selection and Hyperparameter Optimization
Abstract: The proliferation of machine learning applications in various scientific and industrial domains has given rise to an urgent need for developing principled, automated techniques for optimal architecture selection and hyperparameter tuning for machine learning models without human expert intervention. In this paper, we introduce the Automated Machine Learning System for Model selection and hyperparameter Optimization (AMLSMO)—a state-of-the-art, all-encompassing AutoML system that combines the power of meta-learning-based warm-starting, Bayesian Optimization with …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 15–23 Read article
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Assess the Knowledge Level Regarding Prevention of Cervical Cancer Among Bachelor of Science Students at Selected Nursing College in Bengaluru
Abstract: Background: Cervical cancer is a major global health concern and one of the primary causes of cancer-related fatalities in women, with particularly high incidence rates in India. Early detection and prevention are crucial, but awareness remains insufficient, especially among future healthcare professionals like nursing students. This study evaluates the knowledge of first-year Bachelor of Science (BSc) nursing students regarding cervical cancer prevention. Materials and Methods: A non-experimental, descriptive research design …
Published in International Journal of Oncological Nursing and Practices · Vol. 3, Issue 1, 2025 · pp. 21–25 Read article
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Heavy Metal Exposure in Industrial Workers of Punjab
Abstract: Background: Particularly for those in sectors such textiles, metallurgy, and electronics, heavy metal exposure in industrial environments is a major health issue. A range of negative health effects can result from metal exposure including lead (Pb), cadmium (Cd), chromium (Cr), arsenic (As), and nickel (Ni), including neurological, pulmonary, and renal ones. There is little information available on the degree of heavy metal exposure industrial workers in Punjab, India experience. Objective: …
Published in Research and Reviews: A Journal of Toxicology · Vol. 15, Issue 3, 2025 · pp. 1–7 Read article
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Investigation of Mechanical Properties of Banana, Linen and Their Hybrid Reinforced Composite Laminates in Adverse Condition and Analyze Using ML
Abstract: This research investigates the mechanical performance of composite laminates reinforced with banana and linen fibers, focusing on both individual and hybrid fiber combinations. The primary objective is to assess how these natural fiber composites behave under extreme environmental conditions, particularly high humidity and fluctuating temperatures, which are common in aerospace and automotive applications.Key mechanical properties—tensile strength, flexural strength, and impact resistance—are experimentally evaluated to assess the performance and long-term reliability …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 25–31 Read article