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661 articles for “TE domain”
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Analysis of the Current Chopping and Breaker Stresses in Electric Power Networks
Abstract: This paper addresses the phenomenon of current chopping in electric power networks and the resulting circuit breaker transient recovery voltage. Its dependence on the pre-interruption loading conditions and the data of the power network is demonstrated. A Laplace-domain model with normalized network circuit parameters is adopted and a closed-form expression for the recovery voltage is derived. A numerical Laplace inversion technique using Mathematica is implemented in order to get its …
Published in Trends in Electrical Engineering · Vol. 11, Issue 2, 2021 · pp. 1–11 Read article
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TinyML-Based Real-Time Industrial Fault Detection Using Vibration Signals
Abstract: Industrial rotating machinery is commonly monitored through vibration measurements because changes in bearing condition can alter signal amplitude, impulsiveness, and spectral distribution. Cloud-centred analytics may introduce communication dependence, bandwidth demand, and response delay. Tiny Machine Learning (TinyML) offers a complementary approach by executing compact inference locally on resource-constrained edge hardware. This paper presents a reproducible, deployment-oriented workflow for vibration-based machine-state classification using statistical and spectral features with small classifiers suitable …
Published in Journal of Instrumentation Technology & Innovations · Vol. 16, Issue 3, 2026 Read article
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IoT Security: Issues, Best Practices, and Open Challenges
Abstract: The internet of things (IoT) provides the facility to connect different devices and communicate and share information over the internet. IoT has emerged as a transformative and pervasive technological paradigm, revolutionizing how we interact with our environment and infusing intelligence into everyday objects and devices. This interconnected ecosystem has unleashed a wave of innovative applications across diverse domains, including healthcare, transportation, agriculture, industrial automation, and smart cities. However, as the …
Published in International Journal of Information Security Engineering · Vol. 1, Issue 2, 2023 · pp. 7–13 Read article
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Face Aging Using Generative Adversarial Network
Abstract: This project addresses the challenge of predicting how a person may look in the future or how they appeared in the past using a single photograph. While existing methods mainly focus on altering texture, they often neglect changes in head shape that naturally occur during the aging process, limiting their effectiveness, especially when applied to images of children. To tackle this issue, a novel approach is introduced that employs a …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 1, 2025 · pp. 41–52 Read article
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Optimizing Heart Disease Prediction: Comparative Analysis of Machine Learning Algorithm for Early Detection
Abstract: The expanding realm of data analysis holds considerable importance in healthcare, particularly in the medical sector where forecasting heart disease is considered a complex endeavor. Early prediction of serious health conditions can be the determining factor between survival and fatality, with heart disease being one such critical health issue. Over the past decade, the main reason for death has been heart disease. Heart disorders come in many different forms, and …
Published in International Journal of Computer Science Languages · Vol. 2, Issue 1, 2024 · pp. 1–10 Read article
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Artificial Intelligence in intra operative and peri operative management of major oral and maxillofacial surgeries
Abstract: Artificial Intelligence and virtual reality are becoming a part of everyday life and are enhancing our quality of life extensively. It is only natural that the same shall be used in surgery also. The existing body of literature on artificial intelligence (AI) and its integration into various surgical specialties has been extensively reviewed and discussed in this article. These insights, though derived from broader surgical domains, can be effectively translated …
Published in Research and Reviews: A Journal of Dentistry · Vol. 16, Issue 2, 2025 · pp. 1–5 Read article
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A Web-Enabled Fuzzy Expert System Shell for Flower Rose
Abstract: ABSTRACTThis paper presents a proposed expert system shell ROSEX. ROSEX deals with horticulture domain mainly for flower rose. The objective of development ROSEX is to facilitate farmers who involved in horticulture sector to provide complete details about variety, soil, temperature, environment, diseases and pests related to rose flower. We apply live data which was gathered from district headquarter of horticulture, Baghpat (Uttar Pradesh) India. For implementation, a fuzzy based technique …
Published in Journal of Computer Technology & Applications · Vol. 1, Issue 1-3, 2011 · pp. 35–45 Read article
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Emotional Intelligence among Various Levels of Nursing Students
Abstract: Introduction: Emotional Intelligence skills help nurses to stay focussed on their job underimmense pressure of work in the challenging hospital environment. It reduces work-relatedstress, improve job-performance and enhance effective leadership. Objective: To compare theemotional intelligence of three levels of under-graduate nursing students. Methodology: Thiscross-sectional study was carried out at National Institute of Nursing Education (NINE),PGIMER, Chandigarh. A total of 216 students including 79 B.Sc. Nursing 1st year, 65 B.Sc.Nursing 2nd …
Published in Journal of Nursing Science & Practice · Vol. 10, Issue 2, 2020 · pp. 33–43 Read article
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UAVs (Unmanned Aerial Vehicle): Working and Significance
Abstract: In this article new advances technology is being introduced in the field of aerospace Engineering such as Unmanned air Vehicles (UAVs). Their basic idea of working principle is discussed with multiple uses in many industries for different purpose. A descriptive review is provided on the working, concept and future aspects of this advance technology. The different significance is discussed in multiple industries. The Article is providing a concept for better …
Published in Journal of Aerospace Engineering & Technology · Vol. 11, Issue 3, 2021 · pp. 33–38 Read article
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Enhancing Data Processing and Storage in Computing Environments: A Survey on the Use of NVMe SSDs
Abstract: In the current era of fast pace technological growth, the efficiency of data processing and storage systems has become a key factor of various computing environments. This survey explores the transformative role of Non-Volatile Memory Express (NVMe) Solid-State Drives (SSDs) across different domains, including Big Data processing, Cloud Computing, High Performance Computing (HPC), and containerized applications. The motivation behind this comprehensive review is to understand how NVMe SSDs, known for …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 3, 2025 · pp. 01–21 Read article
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Exploring the Intersection of Blockchain and Cybersecurity
Abstract: The digital landscape is an increasingly contested battleground, where the escalating sophistication of cyber threats consistently challenges the efficacy of traditional, centralized security architectures. Pervasive data breaches, identity theft, and vulnerabilities stemming from single points of failure underscore an urgent need for a paradigm shift in cybersecurity. This study posits that blockchain technology, with its foundational principles of decentralization, immutability, cryptographic security, and transparent distributed consensus, offers a transformative framework …
Published in Current Trends in Information Technology · Vol. 16, Issue 1, 2025 · pp. 32–42 Read article
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Leafguard: Smart Plant Health Detection
Abstract: Machine learning techniques, including traditional (shallow) ML, deep learning (DL), and augmented learning (AL), are being increasingly utilized for leaf disease classification. These methods involve feature extraction, data augmentation, and transfer learning to enhance model effectiveness and reduce the need for labeled data. The success of machine learning approaches in this domain hinges on the quality and quantity of data available. LeafGuard is a cutting-edge device with intelligent sensing systems …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 2, 2024 · pp. 32–39 Read article
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Application of Cloud Computing Technology in Libraries
Abstract: Cloud computing technology (ICT) has come up as a boon for libraries and is offering various opportunities and services for libraries to connect their services with clouds. ICT has forced the libraries and librarians to change its functioning and processing of the information retrieval system. In this digital era, libraries are moving in advanced level called cloud computing. In cloud computing, the libraries do not require the software, operating system …
Published in Journal of Advancements in Library Sciences · Vol. 6, Issue 2, 2019 · pp. 16–23 Read article
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Thevenin and Norton Resistance Using Time Domain Analyses Using Spice Simulations
Abstract: Thevenin and Norton equivalent circuits are of interest to circuit simulation designers and researchers. For the Thevenin resistance and Norton conductance determination of a network with available circuit theorems, the substitution network theorem (applied to OrCAD, SPICE, and Pspice AD simulation project) is shown to be suitable with the SPICE/ Pspice circuit simulation software. Instead of the DC option, the transient analyses option of SPICE is used to determine Thevenin/Norton …
Published in Current Trends in Signal Processing · Vol. 13, Issue 2, 2023 · pp. 8–18 Read article
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A Smart Framework that Combines Data Mining and Optimization for Different Applications
Abstract: Blending predictive data mining with metaheuristic optimization has become essential for tackling tough, real-world problems across all kinds of fields. Most existing methods stick to fixed algorithms, each focused on a tiny slice of the puzzle, barely budging when new variables or unpredictability show up—especially with messy, human-generated data. So, here’s the idea: a Unified Metaheuristic and Predictive Data Mining (UMPDM) framework that finally connects adaptive search methods with powerful …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 · pp. 10–14 Read article
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Advancements in Phishing Detection: Automated Systems in Real-World Scenarios
Abstract: The goal of the abstract is to offer an automated method that uses login URLs to identify real-world scenarios. Phishing is a type of cyberattack that involves social engineering, when malefactors trick victims into providing their login credentials via a login form that sends the information to a hostile site. In this research, we offer a system that uses URL analysis to detect phishing websites by comparing machine learning and …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 11, Issue 2, 2024 · pp. 12–17 Read article
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Explainable Sentiment Mining Model in Mental Health Forums for Emotion Classification and Justification
Abstract: Understanding and interpreting emotions expressed in online mental health discussions plays a crucial role in enabling early detection of psychological distress and facilitating timely interventions. As individuals increasingly turn to digital platforms to share personal experiences and seek support, automated systems capable of accurately identifying emotional states can significantly assist clinicians, moderators, and support communities. This paper presents a deep learning–based sentiment mining and emotion classification framework specifically designed to …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 1, 2026 · pp. 22–32 Read article
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USING DIFFERENT END CONDITIONS EXPERIMENTAL AND THEORETICAL ANALYSIS FOR VIBRATIONAL PROPERTIES OF NATURAL FIBER COMPOSITES BEAM
Abstract: The today’s research trend in composite is for the development of composite with natural fibre instead of synthetic fibre. It is because of properties like low cost, light weight, bio-degradability, ease to manufacture and low impact on environment. It becomes necessary to study the vibrational behaviour of composite in addition to mechanical strength and chemical properties for effective utilization in real world applications as they subjected to many types of …
Published in Trends in Machine design · Vol. 5, Issue 2, 2018 · pp. 34–41 Read article
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Course Recommendation Based on ML
Abstract: Course recommender is a recommender system in which courses are recommended to the users like how your friend might recommend you movie based on his/her experience; similarly, this system recommend courses (mostly students). It is just that in this we recommend based on user data which is in numerical format. Nowadays people are very keen to study more, apart from their chosen stream and they tend to search for other …
Published in Journal of Operating Systems Development & Trends · Vol. 9, Issue 1, 2022 · pp. 22–27 Read article
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Design of Model-based Controllers for a CSTR Process
Abstract: The objective of this paper is to propose suitable control strategies for controlling highly nonlinear system represented by the mathematical model of the jacketed continuous stirred tank reactor (CSTR) with so called Van de Vusse reaction. The operating point of the reactor is chosen so as to give maximum yield of the desired product. The mathematical model of reactor is obtained by considering the feed flow rate (Fr) as the …
Published in Journal of Instrumentation Technology & Innovations · Vol. 5, Issue 1, 2015 · pp. 13–20 Read article