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93 articles for “SEM”
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Comparative 3E Analysis of Semi-Cylindrical Solar Still and Double-Slope Solar Still
Abstract: Potable clean water is the prime requirement for the human being. There is an urgent requirement to shift to the non-conventional method of water desalination. Solar desalination is one of the economical methods that has no adverse effect on the environment due to environmental constraints and climate change. Experiments have been performed to find out the performance of SCSS (semi-cylindrical solar still with iron wick) and DSSS (double-slope solar still …
Published in International Journal of Energy and Thermal Applications · Vol. 2, Issue 2, 2024 · pp. 08–16 Read article
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Design and Simulation of Solar Powered Semi-Automatic Grass Cutter
Abstract: The maintenance of large area of grass lawns has always been a tedious task considering continuous human labour and long hours of work. Inorder to reduce the fatigue human work a novel design of automated grass cutting machine powered with a solar panel is designed and simulated for remote operated functioning. The mechanism works with the skeletal frame of a normal grass cutting machine face lifted with ultrasonic sensor for …
Published in International Journal of Energy and Thermal Applications · Vol. 4, Issue 1, 2026 · pp. 17–24 Read article
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Silicon Symphony: The Science of Semiconductors Circuits
Abstract: Modern electronics are built on the foundation of semiconductor circuits, which precisely and efficiently control the flow of electrical impulses. This article takes a look at the underlying physics of semiconductor materials and how their unique electrical properties allow the design and functioning of diodes, transistors and integrated circuits. This study links microscopic scientific principles to the behaviour of real circuits. It considers essential concepts such as charge carriers, doping …
Published in International Journal of Solid State Innovations & Research · Vol. 4, Issue 1, 2026 Read article
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An Evaluation of the Impact of Deep Breathing Exercises on Reducing Academic Stress in B.Sc. Nursing Semester Students
Abstract: Introduction: Academic stress nowadays is one of the considerable problems in nursing students which need to be tackle for improvement of their profession. Objectives: The objectives of the study were a) To assess level of stress among 3rd semester and 4th semester BSc Nursing students (b) To assess the effectiveness of selective self-help technique among 3rd semester and 4th semester B.sc Nursing students, (c) To compare pre-test and post-test score …
Published in International Journal of Evidence Based Nursing And Practices · Vol. 2, Issue 2, 2024 · pp. 8–16 Read article
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Semantics Analysis of Expected Goals in Soccer Data Using Machine Learning
Abstract: In recent years, the increasing availability of soccer data has greatly enhanced the accuracy and depth of player performance evaluation. Soccer, being one of the most popular sports worldwide, attracts millions of fans due to its simple rules, minimal equipment requirements, and high entertainment value. However, analyzing an entire match manually can be time-consuming, leading to a growing demand for automated methods that can summarize and interpret game data efficiently. …
Published in International Journal of Data Structure Studies · Vol. 3, Issue 2, 2025 · pp. 31–47 Read article
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Effectiveness of structured teaching programme on knowledge regarding ECG and its basic interpretation among second semester BSc Nursing students in selected nursing college at Pathanamthitta district
Abstract: Cardiovascular diseases have now become the leading cause of mortality in India. Cardiovascular disease accounts for twenty five percent of all mortality. Electrocardiogram has an important role in the early detection and treatment of various cardiovascular diseases. Over the year significant advancements have been made in the field of ECG research, leading to the development of new techniques, technologies and algorithms for ECG analysis. ECG allows nurse to diagnose and …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 1, Issue 2, 2023 · pp. 09–20 Read article
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The Next Era of Solid-State Innovation: Beyond Silicon
Abstract: The semiconductor industry is getting close to the physical and economic boundaries of silicon-based technology. A new era of solid-state innovation is beginning. Beyond Silicon: The Next Era of Solid-State Innovation looks at the materials, device layouts, and manufacturing methods that are about to change the way electronics and energy work. The article talks about improvements in wide- and ultra-wide-bandgap semiconductors, two- dimensional materials, and quantum and neuromorphic systems that …
Published in International Journal of Solid State Innovations & Research · Vol. 3, Issue 2, 2025 · pp. 19–23 Read article
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Importance of Thesaurus in Natural Language Processing for Scholarly Data Extraction
Abstract: The exponential growth of scholarly literature needs advanced methods for efficient data extraction and knowledge discovery. Natural Language Processing (NLP) has emerged as a crucial technology in automating the analysis and organization of academic texts. Among various linguistic resources, thesauri serve as important tool for enhancing semantic understanding by providing structured vocabularies, synonyms, and hierarchical relationships between terms. This paper examines the importance of thesauri in enhancing NLP-based scholarly data …
Published in Emerging Trends in Languages · Vol. 3, Issue 1, 2026 · pp. 19–24 Read article
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A Study on Fracture Sem Analysis by Optimization of FSW When a Composite Material Al 6061 Mixed with Fly Ash is Done with Cooper Using Anova Method
Abstract: The current study aims to examine how different parameters in friction stir spot welding influence hardness and tensile strength, while identifying the most suitable parameter combinations to enhance the overall quality of the fabricated components. The experimental work involves joining dissimilar materials, where one specimen consists of Aluminum alloy 6061 reinforced with 10% fly ash, and the other is a copper alloy. Various process conditions are altered during testing to …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 4, Issue 1, 2026 · pp. 1–5 Read article
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Revolutionizing Petrology and Mineralogy: The Study of AI and Advanced Sensor Technologies
Abstract: Petrology and mineralogy are fundamental to understanding Earth's intricate processes, from crustal evolution to economic resource formation. However, traditional methods, while precise, are often laborious, time-consuming, and occasionally subject to interpretive bias. This abstract explores the transformative potential of integrating cutting-edge Artificial Intelligence (AI) and advanced sensor technologies to revolutionize data acquisition, analysis, and interpretation in these critical geosciences. Advanced sensor technologies, including high-resolution spectral imaging (hyperspectral, Raman), automated X-ray …
Published in International Journal of Minerals · Vol. 2, Issue 2, 2025 · pp. 1–11 Read article
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Time Series Forecasting Based on PyAF and fbProphet
Abstract: Time series forecasting is the technique of predicting future events using previous data. Time series data includes information that is collected and recorded at regular intervals, such as daily stock prices, monthly sales figures, or hourly temperature readings. The purpose of time series forecasting is to use previous data to create accurate forecasts about the future values of a given variable. This can be beneficial for a range of applications, …
Published in International Journal of Information Security Engineering · Vol. 1, Issue 1, 2023 · pp. 32–36 Read article
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Advances in Energy Systems and Solid State Electronics
Abstract: Solid state technology has become a game changer in the field of modern electronics and energy systems providing faster, safer and more energy efficient solutions for several industries. The performance and dependability of electronic systems have been considerably improved by recent advances in solid state materials, semiconductor devices, and energy storage technologies. Progress in solid-state batteries, wide-bandgap semiconductors, and next-generation integrated circuits is transforming applications in electric vehicles, renewable energy …
Published in International Journal of Solid State Innovations & Research · Vol. 4, Issue 1, 2026 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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The Effect of Rare Earth (RE) Metal Doping of Zno, On Magnetic and Optical Properties of Zno Crystals Structure
Abstract: The magnetic and optical properties of magnetic semiconductors relays on the crystal structure, type and amount of dopant ions, and particle size. Then, the effect of rare earth metal (Dy, Eu, and La) doping on crystal structures, magnetic properties and optical properties are seen. It is revealed that the optical band gap of ZnO decrease down from 3.37eV up on doping with RE metals. Then, the Hamiltonian of the system …
Published in International Journal of Crystalline Materials · Vol. 2, Issue 2, 2025 · pp. 28–40 Read article
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Deep Learning-Based Thermal Prediction Models for Solid-State Electronic Devices
Abstract: The rapid advancement of solid-state electronic devices in high-performance computing, communication systems, automotive electronics, and renewable energy applications has significantly increased concerns related to thermal management and device reliability. Excessive heat generation in semiconductor devices adversely affects operational efficiency, switching performance, lifespan, and overall system stability. Traditional thermal prediction methods often require complex numerical computations and extensive simulation time, making them less suitable for real-time monitoring and adaptive control applications. …
Published in International Journal of Solid State Innovations & Research · Vol. 4, Issue 1, 2026 Read article
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Transforming IoT Connectivity Through VLSI Technology
Abstract: Device communication has been completely transformed by the emergence of the Internet of Things (IoT), and very large-scale integration (VLSI) has been essential to this change. The development of small, energy-efficient devices that are essential to IoT applications is made possible by VLSI technology, which allows thousands to millions of transistors to be integrated on a single chip. By enabling higher processing capabilities and seamless connectivity, VLSI not only enhances …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 2, Issue 2, 2024 · pp. 1–11 Read article
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Image Processing and Deep CNN-based Automatic Liver Cancer Detection
Abstract: Liver cancer ranks among the leading causes of mortality for people worldwide. In the current situation, manually identifying the cancer tissue is a challenging and timeconsuming task. Treatment planning, response monitoring, tumor load assessment, and prediction are all made possible by the segmentation of liver lesions in CT scans. To address the current problem of liver cancer, the Hybridized Fully Convolutional Neural Network (HFCNN), which has been theoretically modeled, has …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 3, Issue 1, 2025 · pp. 39–41 Read article
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Future Challenges of Photocatalytic Water Splitting: Sustainability
Abstract: Photocatalytic water splitting has emerged as a promising technology for sustainable hydrogen production through the direct utilization of solar energy. This process mimics natural photosynthesis, using semiconductor materials to absorb light and drive the decomposition of water into hydrogen and oxygen. The method provides a sustainable and eco-friendly solution to the global energy challenge by enabling the reduction of carbon emissions. Among various solar-to-chemical energy conversion approaches, photocatalytic water splitting …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 3, Issue 2, 2025 · pp. 43–48 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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Study of Electrically Conductive Polymer for Antistatic and Sensor Application
Abstract: Electrically conductive polymers (ECPs) are a unique category of smart materials that integrate the mechanical flexibility and ease of processing characteristic of conventional polymers with the electrical conductivity typically associated with metals or semiconductors. In recent years, they have attracted considerable interest due to their promising potential in advanced technological applications, especially in antistatic coatings and electronic sensing devices. The unique ability of these polymers to conduct electricity arises from …
Published in International Journal of Minerals · Vol. 3, Issue 1, 2026 · pp. 46–51 Read article