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113 articles for “learning experiences”
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General and Organic Chemistry Laboratory Experiments for Science, Pre-medical, and Pharmacy students Chapter II: Glassware, Tools and Equipments
Abstract: A scientific chemistry laboratory plays a vital role in education, research, healthcare, and industrial applications by providing a controlled environment for conducting chemical experiments and analyses. An efficient laboratory must be designed according to established safety and operational standards, ensuring that every component, including glassware, tools, instruments, laboratory equipment, storage facilities, and instructional resources, is readily available and properly maintained. The absence or shortage of essential laboratory materials can hinder …
Published in International Journal of Environmental Chemistry · Vol. 12, Issue 2, 2026 · pp. 1–15 Read article
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A Novel Method of Rice Disease Detection Based on Deep Learning
Abstract: India's main food crop is rice. Agriculture accounts for 70% of the Indian economy, yet pests and illnesses cause 37% of the production of rice to be lost. The early detection of rice diseases will prevent huge economic loss for the farmer and the proper care can assist farmers to protect their rice crops from various crop diseases. Manual illness diagnosis is a time-consuming and complex technique. Deep learning techniques …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 8, Issue 1, 2022 · pp. 10–17 Read article
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An Overview on AI in Thermal Behaviour of Polymers
Abstract: The integration of Artificial Intelligence (AI) and Machine Learning (ML) into the thermalanalysis of polymers and composite materials has transitioned from experimental curiosity to acornerstone of material science. By replacing costly and time-consuming trial-and-errorlaboratory testing with predictive modeling, AI is accelerating the development of advancedthermal interface materials, fire-retardant polymers, and aerospace-grade composites. Theprediction and optimization of the thermal behavior of polymers and composite materialsrepresent a cornerstone of modern materials science, …
Published in International Journal of Composite and Constituent Materials · Vol. 12, Issue 1, 2026 · pp. 12–16 Read article
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Smart Codes E-learning Website
Abstract: This paper introduces a sponsored e-learning website that can be used to learn educational stubs like web development and technologies required for artificial intelligence. The aim of this research is to create a user-friendly e-learning website for the sponsor. This website is designed to be well structured and easy to navigate. As technology is increasing in the web development as well as in artificial intelligence, they show a platform to …
Published in International Journal of Software Computing and Testing · Vol. 10, Issue 2, 2024 · pp. 15–21 Read article
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Deep Learning Approach Based Brain Tumor Detection
Abstract: The brain tumor is one of the most deadly disease which is of great concern and hence to detect and extract the effected tumor area in the brain from the MRI has lot of research potential. It is also a very difficult task to perform by the experts. The perfection of the vivisection depends on how much experienced the radiologist or the clinical expert is. So to overcome the wastage …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 8, Issue 1, 2022 · pp. 57–63 Read article
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A Pre-Experimental Study to Assess the Effectiveness of Structured Teaching Programme on Knowledge and Attitude of Mothers Regarding Prevention of Home Accidents in Selected Rural Areas of Ludhiana Punjab.
Abstract: Background of the study: The present study was conducted to Assess The Effectiveness Of Structured Teaching Programme On Knowledge And Attitude Of Mothers Regarding Prevention Of Home Accidents In Selected Rural Areas Of Ludhiana Punjab. The objectives of the study were to assess the pre and post test knowledge of mothers regarding prevention of home accidents, to assess the pre and post test attitude of mothers regarding prevention of home …
Published in International Journal of Nursing Critical Care · Vol. 5, Issue 1, 2019 · pp. 80–102 Read article
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A Review on Computational Intelligence and its Applications
Abstract: Abstract:Computational intelligence (CI) is a term used to describe a computer's capacity to learn a particular task via data or experimental observation. Although it is frequently used as a synonym for soft computing, computational intelligence is still not well defined. Soft computing, commonly referred to as computational intelligence, is a type of computing that is based on how people learn. Computers become more intelligent when they learn from procedures based …
Published in International Journal of Computer Aided Manufacturing · Vol. 8, Issue 1, 2022 · pp. 27–30 Read article
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Social Media Use in Nursing Education
Abstract: Worldwide, social media are useful tools for exchanging ideas, opinions, experience, information, knowledge, videos, images, and sounds using messages. Healthcare professionals have been impacted by the exponential growth of social media in both their professional and personal lives. The top social media sites in April 2021 were Facebook, YouTube, WhatsApp, Instagram, Telegram, Snapchat, Pinterest, Twitter, and others. All fields of knowledge are becoming increasingly reliant on social media for teaching …
Published in International journal of Nursing Science Practice and Research · Vol. 9, Issue 1, 2023 · pp. 48–53 Read article
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Impact of the Jigsaw Teaching Strategy on Classroom Performance among Nursing Students at a Selected College
Abstract: Introduction: Collaborative learning is an educational methodology where individuals engage collectively in pursuit of knowledge or skill acquisition. The jigsaw teaching method is a form of collaborative learning, initially introduced by Elliot Aronson in 1971 at both the University of Texas and the University of California. This method emphasizes team-based learning, wherein students are organized into groups or teams, each assigned a specific segment of the material to master. Within …
Published in International journal of Nursing Science Practice and Research · Vol. 10, Issue 1, 2024 Read article
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A Review on Property Price Tracking Using ML Model
Abstract: The very common reason for an investment is to get benefits in future. Different legal and illegal utilization leads to cost fluctuation. It is therefore important to well manage the [exploitative] of the property, and an application like price predictor is well equipped with optimal solution. However, such price prediction methods require an appropriate knowledge and experience regarding this domain. By utilising machine learning techniques and algorithms, the price of …
Published in International Journal of Analog Integrated Circuits · Vol. 8, Issue 2, 2022 · pp. 11–20 Read article
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Ethereum Price Prediction Using Extra Trees and Random Forest Regressors
Abstract: The Ethereum market is famous for its unpredictability and the possibility of significant profits, presenting both opportunities and obstacles for investors and stakeholders. Given the dynamic nature of this ecosystem, accurate prediction of Ethereum’s price movements is essential for informed decision-making. In this project, we propose an innovative approach that leverages ensemble learning techniques, specifically extra trees and random forest regressors, for Ethereum price prediction. By harnessing a diverse dataset …
Published in International Journal of Distributed Computing and Technology · Vol. 10, Issue 2, 2024 · pp. 9–25 Read article
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Development of an ATmega328-Based Oscilloscope for Quick Field Measurements
Abstract: Abstract: This paper presents an ATmega328 microcontroller-based oscilloscope developed with the ATmega328 microcontroller, designed for efficient signal analysis in a compact format. Featuring a 128x64 OLED display, multiple input channels, and integrated ADC for accurate signal sampling, the oscilloscope allows users to measure frequency, amplitude, and period effectively. Oscilloscopes are crucial for troubleshooting, diagnostics, and system design because they enable researchers and engineers to examine the properties of electrical systems, …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 10, Issue 2, 2024 Read article
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Facial Expression Recognition by Using Multifeatured Fusion And Deep Learning Techniques
Abstract: In our daily lives, sentiment analysis is a vital part of communication. A vital component is information regarding how the user feels when someone communicates. You will need a solution that can handle everything from recognizing a user's emotional state to personalizing the user experience. This study's objective is to look into emotions. Today, deep learning techniques are quickly advancing in a variety of fields, including computer vision. Without a …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 8, Issue 2, 2022 · pp. 16–22 Read article
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A study on additive manufacturing with optimization of artificial intelligence
Abstract: Abstract The process of producing a three dimensional product layer by layer is called additive manufacturing. This process not the same as a traditional machining procedure. Chips are taken out of the raw material to create a component in traditional machining. three dimensional printing is another name for additive manufacturing. The benefit of three dimensional printing is that it can create any complex three dimensional item. The culinary, chemical, aerospace, …
Published in International Journal of Computer Aided Manufacturing · Vol. 11, Issue 2, 2025 · pp. 19–40 Read article
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Deep Reinforcement Learning-Based MPPT for PV Systems Under Partial Shading: A HybridMetaheuristic-Optimized Control Framework.
Abstract: Partial shade and quickly changing environmental conditions make Maximum Power Point Tracking (MPPT) in photovoltaic (PV) arrays particularly difficult. In these situations, traditional algorithms frequently fail to find the global optimum or experience sluggish convergence and steady-state oscillations. To obtain reliable, real-time MPPT under non-uniform irradiance, this research suggests a hybrid control architecture that combines a deep recurrent reinforcement learning (DRL) agent with metaheuristic-based parameter optimization and a digital-twin training …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 1, 2026 Read article
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Deep Reinforcement Learning-Based MPPT for PV Systems Under Partial Shading: A Hybrid Metaheuristic-Optimized Control Framework.
Abstract: Partial shade and quickly changing environmental conditions make Maximum Power Point Tracking (MPPT) in photovoltaic (PV) arrays particularly difficult. In these situations, traditional algorithms frequently fail to find the global optimum or experience sluggish convergence and steady-state oscillations. To obtain reliable, real-time MPPT under non-uniform irradiance, this research suggests a hybrid control architecture that combines a deep recurrent reinforcement learning (DRL) agent with metaheuristic-based parameter optimization and a digital-twin training …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 1, 2026 · pp. 35–46 Read article
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Effectiveness of mind mapping technique among learning process among the nursing students
Abstract: Mind mapping is a powerful graphic technique which can be used to translate what is in one’s mind into a visual picture. Since mind mapping works like a brain, it allows organising and understanding information faster and better. It helps in better logical organisation of knowledge as well as help to retain it. In order to assess the effectiveness of mind mapping on teaching learning technique, this study was undertaken …
Published in International journal of Nursing Science Practice and Research · Vol. 6, Issue 2, 2020 · pp. 9–16 Read article
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A study to assess the knowledge and practice on protocol-based nursing on Insertion of intravenous line cannula among nurses working in selected hospitals at Kanyakumari District, Tamil Nadu.
Abstract: : The study aimed to assess the knowledge and practice on protocol-based nursing on Insertion of intravenous line cannula among nurses working in selected hospitals at Kanyakumari District, Tamil NaduMaterials and Methods: Quantitative descriptive survey approach with a Nonexperimental descriptive design was used. Tool used for data collection was Structured Questionaries to assess the level of knowledge and check list to assess the nurses practice on protocol-based nursing on insertion …
Published in International Journal of Nursing Critical Care · Vol. 8, Issue 1, 2022 · pp. 5–10 Read article
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Smart Wastewater Treatment Plant Modeling Using ANN And ASM1 MATLAB Simulation
Abstract: Wastewater Treatment Plants (WWTPs) are necessary infrastructure for protecting the environment and public health, but modeling and predicting performance has been an ongoing challenge for engineers working within a WWTP and regulators of the environment. For many years the Activated Sludge Model No. 1 (ASM1) has been the standard for simulating biological treatment processes, but the conventional implementations in MATLAB do not provide the user-friendly interface, the predictive intelligence, or …
Published in International Journal of Chemical Engineering and Processing · Vol. 12, Issue 2, 2026 · pp. 44–62 Read article
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Design and Optimization of Heterogeneous Catalysts for Green Chemistry Processes
Abstract: The design and optimization of heterogeneous catalysts are critical for advancing green chemistry processes, aiming to minimize environmental impact while maximizing efficiency. This study explores innovative strategies for the development of heterogeneous catalysts that facilitate environmentally benign reactions. By integrating principles of catalyst design, surface science, and reaction engineering, we aim to enhance catalytic performance, selectivity, and stability. Catalyst composition and structure, investigating novel materials, including metal-organic frameworks (MOFs), zeolites, …
Published in International Journal of Chemical Synthesis and Chemical Reactions · Vol. 10, Issue 1, 2025 · pp. 42–48 Read article