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103 articles for “library utilization”
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Navigating Higher Education: Investigating the Efficacy of College Enquiry Chatbots
Abstract: College Enquiry A chatbot is a kind of online application, and this project's primary goal is to give information about colleges. It only provides information on colleges. Something along the lines of "How many branches in college? "How many pupils are in each branch? "By adding some more features and making some improvements we can embed this project into the working site of the college. A chatbot is a software …
Published in Journal of Instrumentation Technology & Innovations · Vol. 13, Issue 3, 2023 · pp. 7–11 Read article
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Stock Market Prediction with LSTM-based Neural Networks: An Empirical Analysis
Abstract: A stock market is a composite of markets and exchanges where the buying and selling of publicly traded company stocks occur on a regular basis. It serves as a marketplace for the stocks of corporations that are available to the public. Companies opt for an initial public offering (IPO) on the primary market as a means to generate capital. People buy stocks primarily in the hope that they may rise …
Published in E-Commerce for Future & Trends · Vol. 10, Issue 1, 2023 · pp. 9–14 Read article
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Working System Linux as Developing and Runtime Stage for Control System
Abstract: What working framework to pick is a typical issue, important to unravel amid improvement of control framework for atom smasher? It would be extremely alluring to utilize the same working framework concerning improvement of programming segments of control framework concerning runtime both for real-time furthermore, no constant applications. Remote boot-stacking capacities, experienced programming improvement apparatuses, and other focal points of Linux make it extremely valuable for advancement of programming segments …
Published in Journal of Advances in Shell Programming · Vol. 3, Issue 2, 2016 · pp. 24–27 Read article
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Real-Time System Monitoring and Resource Optimization Using Shell Scripts in UNIX/Linux Environments
Abstract: Real-time system monitoring is a fundamental aspect of system administration in UNIX/Linux environments, as it ensures optimal system performance, reliability, and continuous availability of services. In modern computing infrastructures, systems are expected to operate efficiently under varying workloads, and any degradation in performance, such as CPU overload, memory exhaustion, disk bottlenecks, or network congestion, can significantly impact user experience and system stability. Regular observation and prompt action are crucial for …
Published in Journal of Advances in Shell Programming · Vol. 13, Issue 1, 2026 · pp. 08–15 Read article
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Facial Biometrics Driven Attendance Automation Solution Using LBPH Algorithm
Abstract: In today's educational landscape, managing attendance remains a central administrative task, often conducted manually on paper, consuming valuable time for educators. This project proposes a solution utilizing facial recognition technology to streamline the attendance process, thereby saving time and maintaining accurate student records. The objective is to develop an automated attendance system that is minimally intrusive, cost-effective, and highly efficient, leveraging computer vision techniques and algorithms like local binary patterns …
Published in Journal of Open Source Developments · Vol. 11, Issue 1, 2024 · pp. 27–35 Read article
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Digital Resurrection: Restoring Fragile Documents with OCR
Abstract: In creating a typical Optical Character Recognition (OCR) system, several steps are involved, such as preprocessing, segmentation, feature extraction, and classification. Preprocessing, which is a particularly interesting and challenging aspect of Document Analysis and Recognition (DAR), deals with converting scanned or photographed images containing machine-printed or handwritten text, including numbers, letters, and symbols, into a format that the system can understand. Segmentation is a crucial task in any OCR system, …
Published in Trends in Opto-electro & Optical Communication · Vol. 14, Issue 2, 2024 · pp. 29–35 Read article
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Study and Analysis of Delay Faults of Embedded Processor using Dynamic Voltage Scaling Methods
Abstract: Voltage over-scaling has been a possibility for energy dependability compromise. This research will look into its effectiveness and the potential for rationale deferral flaws. Our contextual investigation on an ARM Cortex-M0 processor with business 45 nm libraries shows that the quantity of defer deficiencies increments decisively after the principal bombing working point which infers that voltage overscaling will be wasteful after the basic working point. This recommends the need of …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 10, Issue 1, 2022 · pp. 15–19 Read article
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Predicting Dielectric Constants of Polymers Using Molecular Structural Descriptors and Explainable Machine Learning: A Data-Driven Approach
Abstract: Accurate prediction of dielectric constants in polymeric materials is fundamental to the rational design of advanced electronic components, energy storage capacitors, flexible substrates, and high-frequency communication circuits. Conventional approaches to identifying suitable polymer dielectrics rely on extensive experimental synthesis and characterisation, which are both time-consuming and resource-intensive. In this work, an explainable machine learning framework is developed to predict the dielectric constant of polymers directly from molecular structural descriptors derived …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 297–304 Read article
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Processing of Deepfake Images Using Deep Learning
Abstract: Face identification has been a significant exploration subject in the mid 2000s. Right around twenty years after the fact, this issue is essentially settled and face recognition is accessible as a library in most programming dialects. Indeed, even face-trade innovation is the same old thing and has been around for a couple of years. Such an advancement depends on neural organizations whole computational models that are inexactly roused by the …
Published in Journal of Computer Technology & Applications · Vol. 13, Issue 2, 2022 · pp. 24–29 Read article
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From Documentation to Digital Stewardship: A Bibliometric Analysis of the Technological Transformation in Indigenous Knowledge Management
Abstract: This bibliometric study systematically maps the technological evolution of Indigenous Knowledge Management (IKM) over a 30-year period (1995–2025). It aims to identify the conceptual shifts and emerging technologies defining the transition from passive digital documentation to active algorithmic stewardship. The study utilises a scientometric approach to analyse a corpus of 835 unique documents retrieved from the Scopus database. Scientific-mapping techniques, including thematic evolution and keyword co-occurrence analysis, were performed using …
Published in Journal of Advancements in Library Sciences · Vol. 13, Issue 3, 2026 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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Voice Assistant Based On AI
Abstract: Voice control is a significant emerging element that is revolutionizing how people can live. The voice assistant is frequently utilized in laptops and cellphones. AI-based Operating systems with built-in voices that can detect human speech are known as voice assistants. The voice assistant will collect sounds from the microphone, translate it to text, and send it over GTTS (Google text to speech). The English-language audio file created by the GTTS …
Published in Recent Trends in Programming languages · Vol. 9, Issue 2, 2022 · pp. 18–26 Read article
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Music Reactive led using Arduino
Abstract: In recent years, the integration of technology into interactive systems has garnered significant attention. Among the many applications, music-reactive LED systems have become popular, offering dynamic visualizations that respond to audio inputs. This paper explores the development and implementation of a music-reactive LED system using Arduino, focusing on real-time audio signal processing and LED control based on the frequency spectrum of the sound. By utilizing Fast Fourier Transform (FFT) algorithms …
Published in Journal of Microelectronics and Solid State Devices · Vol. 13, Issue 1, 2026 · pp. 27–33 Read article
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Enhancing Student Learning Through Smart School Innovations
Abstract: The purpose of this research is to investigate how smart schools impact the evolution and velocity of the teaching-learning process. The study was carried out using a descriptive/survey methodology, and reliable scientific websites, journals, and library resources were used as data gathering instruments. The researcher used two questionnaires to collect information from students and teachers. A 5-point Likert scale was used to produce five questions with forty subquestions for teachers …
Published in International Journal of Education Sciences · Vol. 1, Issue 1, 2024 · pp. 25–34 Read article
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Computational Biomodeling: Transforming Drug Design with Advanced Simulations
Abstract: Computational biomodeling has emerged as a transformative approach in the field of drug discovery, significantly enhancing the efficiency and precision of identifying and optimizing potential drug candidates. This article explores the various computational techniques utilized in drug design, including molecular docking, molecular dynamics (MD) simulations, free energy calculations, and virtual screening, and examines how these methods collectively contribute to the drug development process. The integration of these advanced simulations allows …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 3, 2024 · pp. 24–29 Read article
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Identification of Papaya Fruit Ripening Process Using AI
Abstract: Identifying the ripening process of papaya fruit using artificial intelligence involves employing machine learning algorithms to analyze various features such as color changes, texture alterations and chemical compositions. This model is capable of analyzing visual cues to determine the stage of ripeness. The dataset compares images of papaya at various ripening stages, and our AI model demonstrated high accuracy in classifying these stages. Employing machine learning algorithms and image processing …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 13, Issue 2, 2024 · pp. 23–30 Read article
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ChatGPT Based Voice Assistant for Blind People
Abstract: The proposed system for converting speech input into text format to facilitate interaction with ChatGPT is a sophisticated integration of hardware and cloud-based services. Utilizing state-of-the-art technologies, it facilitates seamless communication between users and the AI model. At the outset, the microphone serves as the input device, capturing audio signals from the user's speech. These signals are then amplified to ensure clarity and fidelity before being transmitted to the ESP32 …
Published in Journal of Operating Systems Development & Trends · Vol. 11, Issue 2, 2024 · pp. 23–31 Read article
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Phishing URL Detection Using Machine Learning Classification Algorithms
Abstract: Phishing attack is utilized to get the data like username, secret phrase, financial balance subtleties, and credit card details. Today, is the most well-known cybercrime. Phishing assaults additionally influence the web-based installment area monetary organization, document facilitating or distributed storage, and numerous others. Phishing assault generally focuses to these Web locales which are connected with the internet-based payment area and Web mail. To stop phishing attacks, a variety of methods …
Published in Journal of Web Engineering & Technology · Vol. 9, Issue 3, 2022 · pp. 22–33 Read article
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Fingerprint Pre-processing and Features Extraction
Abstract: Fingerprint is broadly utilized biometric recognizable proof to distinguish the personality of a man due unwavering quality and adequacy. Identification based on biometric is a well-known technique that recognizes identity of a person. Fingerprint identification system contains pre-processing (PP), features extraction (FE) and matching. In this study, we discussed about pre-processing (PP) and features extraction (FE). The pre-processing steps contain in this study are segmentation, normalization, Gabor filter. The main …
Published in Journal of Advancements in Library Sciences · Vol. 5, Issue 3, 2018 · pp. 40–45 Read article
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Data Privacy in AI: Securing the Sensitive Information Through Homomorphic Encryption
Abstract: Artificial intelligence (AI) technology increasingly relies on sensitive user data, particularly finance and healthcare. While legacy encryption technologies safeguard data in transit and at rest, they are of no use when data must be decrypted to be processed. This is a bleak privacy threat, particularly in AI applications that call for constant processing of data. The objective of this study is to apply homomorphic encryption, a feature in which operations …
Published in International Journal of Information Security Engineering · Vol. 3, Issue 2, 2025 · pp. 25–30 Read article