Search
476 articles for “test data”
-
A Study on the Ethical Implications and Data Privacy Challenges in the Age of Artificial Intelligence
Abstract: The fast adoption of Artificial Intelligence (AI) in areas like education, business, and everyday life comes with both tectonic and important ethical and data privacy issues. This paper examines the principle-practice divide between the ideals of the ethics as they are set and applied in the realities of AI implementation. The study is based on a mixed-methodology design, comprising of a quantitative survey of 52 participants and a qualitative study …
Published in Current Trends in Information Technology · Vol. 16, Issue 2, 2025 Read article
-
Machine-Learning-Assisted Development of Polymer-Biochar Composite Adsorbents for the Removal of Heavy Metals from Gomti River Water
Abstract: Rapid urbanization, industrial discharge, and agricultural runoff pose a significant threat to freshwater sustainability and public health. Within these ecosystems, polymer pollutants—such as microplastics, nanoplastics, synthetic fibres, and additive residues—have emerged as persistent vectors capable of adsorbing and transporting toxic heavy metals. Because these polymeric contaminants dynamically interact with conventional aquatic parameters to alter pollutant mobility and ecological risk profiles, there is an urgent need to transition from passive environmental …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 72–95 Read article
-
Development and Assessment of Levetiracetam Microspheres Utilizing Synthetic and Natural Polymers: A Biomedical Engineering Perspective
Abstract: In the present study, comparative study of Levetiracetam loaded microspheres using Ethyl cellulose as synthetic and Sodium alginate as natural polymers was done. Solvent evaporation and ionic gelation technique has been successfully employed to produce Levetiracetam loaded ethyl cellulose and sodium alginate microspheres with optimal drug encapsulation that sustained the drug release over a period of time. Based on the pre-formulation studies E1 to E4 and S1 to S4 batches …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 2, Issue 1, 2024 · pp. 1–18 Read article
-
Numerical Simulation of Air Flow Field of A Gas Turbine Engine Air blast Atomizer
Abstract: One of the most crucial process that occurs before the fuel is burned in the combustion chamber is atomization. The performance of a engine will be depend mainly on the fuel mixture. Performance of the engine depends on atomization process because it breaks the bulk fuel into small droplets and injects it into the combustion chamber, in order to make this happen consequently the dimensions of most of the fuel …
Published in Journal of Polymer & Composites · Vol. 11, Issue 13, 2023 · pp. 169–180 Read article
-
Quantitative Research on Gen Z Slang Terms for a Diverse Group of People
Abstract: This study objective is to determine the various individuals who employed vocabulary connected with Generation Z and to discover who those persons were. Through the use of Google forms, twenty Gen Z slang terms associated were posed to the various participants for testing. The data are collected from the participants by the researcher through the use of Google Forms, and the researcher is the one who is responsible for developing …
Published in Emerging Trends in Languages · Vol. 1, Issue 1, 2024 · pp. 24–31 Read article
-
Developing an AI-Based Novel Forecasting Framework for Surface Irregularity in Metal Matrix Materials
Abstract: Surface irregularity in metal matrix materials (MMM) signifies the deviations from smoothness, influencing structural integrity and performance frequently arising from the manufacturing process along with intrinsic material characteristics that influence effectiveness. Limitations in data, model interpretability and complexity are the difficulties that impede artificial intelligence (AI) based surface irregularity in MMM. In this study, we suggested a novel framework of Gaussian regression fused multi-strategy adaptive boosting classifier (GR-MABC) for the …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 48–56 Read article
-
On the link of global warming and cloudiness in mid hills of Himachal Himalayas, India
Abstract: The present study investigated the monthly, seasonal, and annual cloud cover variability over two stations in the mid hills sub-temperate subhumid zone of Himachal Pradesh, by using Pearson’s correlation coefficient, Mann-Kendall (MK), and Sen’s slope estimator test. Daily data on cloud cover, sunshine hours, maximum and minimum temperature, morning and evening relative humidity, evaporation and rainfall for the period of 22 years (2001–2022) were used in the investigation. In the …
Published in International Journal of Climate Conditions · Vol. 2, Issue 2, 2025 · pp. 39–49 Read article
-
Comparative Study of BERT Variants for Sentiment Analysis with Error Analysis
Abstract: The use of media is going up fast in India, and this has led to the rise of Hinglish. Hinglish is an informal blend of Hindi and English that people commonly use in everyday conversations, especially across social media platforms such as Twitter, Facebook, and WhatsApp. People use Hinglish to talk to each other in a way that is not very formal. Hinglish blends English vocabulary with informal usage, often …
Published in International Journal of Computer Science Languages · Vol. 4, Issue 1, 2026 · pp. 39–48 Read article
-
Effect of Sustained and Selective attention paradigm in Recalling task: a Cross-Language Study
Abstract: Attention is the ability to channelize the resource towards the stimulus. Sustained attention refers to the process of holding attention for a considerable span of time while selective attention refers to the ability selectively channelize the attention to an selected set of stimulus governed by instructions. This task would require the selective inhibition of the irrelevant stimulus. The current study was carried out with the aim of investigating the sustained …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 14, Issue 2, 2024 · pp. 1–6 Read article
-
Deep Learning Architectures for Predictive Modeling in Financial Time Series
Abstract: This study investigates the application of deep learning architectures, particularly convolutional neural networks (CNNs), to the challenging task of financial time series forecasting. Financial markets are inherently complex and influenced by a range of factors, making accurate prediction of price movements a difficult problem. In this research, historical financial data including stock prices, volumes, and other relevant indicators are used to train CNN models aimed at capturing the underlying patterns …
Published in Current Trends in Signal Processing · Vol. 15, Issue 3, 2025 · pp. 45–55 Read article
-
Optimizing Marketing Campaigns Using Random Forest and A/B Testing
Abstract: Marketing initiatives play a vital role in driving business growth by reaching targeted consumer segments through tailored strategies across multiple channels. The success of these initiatives is influenced by various factors, including the type and duration of the campaign, the characteristics of the target audience, the communication channels employed, and the overall efficiency of each strategy. These factors collectively impact key performance metrics such as conversion rates, customer acquisition costs, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 3, 2025 · pp. 01–09 Read article
-
A Study to Evaluate the Impact of a Self-instructional Module on Knowledge Enhancement Regarding the Management of Common Pregnancy Discomforts Among Primigravida Mothers in Selected Hospitals of Mysuru
Abstract: Gestation is a time of physical, emotional and hormonal changes in a woman. It is one of the important phases in a woman’s life from the time of be. It is accompanied by discomforts that are generally known as minor ailments. These common discomforts occur generally among primigravida mothers. Symptoms of discomfort due to gestation vary from woman to woman; they are nausea and vomiting, fatigue, backache, heartburn and indigestion, …
Published in International Journal of Midwifery Nursing And Practices · Vol. 3, Issue 1, 2025 · pp. 21–34 Read article
-
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
-
How Microfluidics Are Used in Modern Science: Lab-on-A-Chip
Abstract: Microfluidics has changed modern research by making lab-on-a-chip (LOC) technologies that combine multiple lab functions into small, portable devices. These little platforms make it easier to correctly handle small amounts of fluid, which saves time, money, reagents, and automation. This article talks about microfluidics and how it helps LOC technology go forward in all areas of science. We look at important uses of biomedical diagnostics, drug development, environmental monitoring, and …
Published in International Journal of Advance in Molecular Engineering · Vol. 3, Issue 2, 2025 · pp. 35–48 Read article
-
Money Laundering Transaction with Machine Learning
Abstract: This study discusses the use of machine learning algorithms to discover firms that are prone to money laundering. The purpose of this research is to develop, describe, and test a machine learning model for determining which bank transactions should be physically scrutinized for money laundering activities. To train a supervised machine learning model, three categories of historical data are required: legitimate "normal" transactions, transactions flagged as suspicious by the bank's …
Published in Current Trends in Information Technology · Vol. 14, Issue 2, 2024 · pp. 1–15 Read article
-
An Evaluation of the Impact of a Structured Teaching Program on Staff Nurses' Knowledge of Low Back Pain Prevention in Intensive Care Units at Selected Hospitals in Bangalore
Abstract: The study aimed to assess the knowledge of ICU nurses concerning the prevention of low back pain (LBP), determine the effectiveness of a structured teaching program (STP) in improving their knowledge, and examine the relationship between pre-test knowledge levels and various demographic factors. A pre-experimental research design was utilized, featuring a one-group pre-test and post-test method. The study employed non-probability convenience sampling to recruit 60 ICU nurses for participation. Data …
Published in International Journal of Orthopedic Nursing and Practices · Vol. 2, Issue 2, 2024 · pp. 1–13 Read article
-
Fracture Toughness in Advanced Materials: A Comparative Review of Testing Methods and Standards
Abstract: Fracture toughness is a key material property used to assess a material's ability to resist crack propagation, which is vital for ensuring the reliability and durability of structures and components in high-performance applications. It is particularly important in advanced materials such as composites, ceramics, and high-strength alloys, which are increasingly used in demanding industries such as aerospace, automotive, and civil engineering. Fracture toughness testing helps determine the material's behavior under …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 3, Issue 1, 2025 · pp. 17–21 Read article
-
Conceptualization of An Intelligent Decision Framework for Control Factors and Weld Quality Prediction
Abstract: To improve the robot's welding quality, control welding precision, optimize welding parameters, realize continuous welding quality database optimization, and increase welding defect detection, a fuzzy neural network-based intelligent decision-making system must be built. This study demonstrates how fuzzy control theory and BP neural networks may be used to identify welding issues and enhance process variables. The experimental findings indicate that, with seam classification accuracy close to 90%, enhancing welding parameters …
Published in Journal of Polymer & Composites · Vol. 11, Issue 6, 2023 · pp. 10–19 Read article
-
Microstructural and Mechanical characterization of Brass and Bronze alloys
Abstract: Brass, a copper and zinc alloy, is renowned for its malleability and resistance to corrosion, which makes it perfect for musical instruments and plumbing. Aluminium bronze, containing copper and aluminium, offers superior strength and wear resistance, commonly used in marine and industrial applications for its durability and corrosion resistance. This study aimed to compare the micro and macro structural characteristics of brass and aluminium bronze alloys. The microstructures of these …
Published in Journal of Materials & Metallurgical Engineering · Vol. 14, Issue 2, 2024 · pp. 28–37 Read article
-
A study conducted among young women living in specific locations of Honavar, Uttara Kannada, to evaluate their attitudes and knowledge about women abuse. With a view to organize a Mass Health Education Programme
Abstract: Worldwide and regional projections of violence against women indicate More than 25% of women in relationships between the ages of 15 and 49 report having experienced physical or sexual abuse at least once in their lifetime (since they were 15). Up to 38% of all female killings globally are the result of intimate relationship violence. Apart from domestic violence, 6% of women worldwide report experiencing sexual assault at the hands …
Published in International Journal of Brain Sciences · Vol. 1, Issue 1, 2024 · pp. 5–12 Read article