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281 articles for “feature tools”
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Automatic annotation of reading using Speech Recognition: A pilot study
Abstract: Speech is a time-varying continuous stimulus. Analyzing a speech sample is generally done by transcribing it which can be considered to be a time-consuming process. A time annotated transcription is required for a detailed evaluation of the speech sample to study the language and prosodic features. The focus of this paper is to develop a tool to automatically segment audio recordings into silences and chunks of speech corpus and further …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 5, Issue 2, 2018 · pp. 25–29 Read article
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Supertools Explorer: A One-stop Shop for Digital Productivity
Abstract: A comprehensive set of software programs called Supertools Explorer was developed to assist companies in optimizing their websites for search engines. The website offers a variety of tools, such as keyword research, on-page optimization, competitor analysis, link building, and statistics, which can assist businesses in enhancing their search engine visibility and increasing organic traffic to their website. The website's robust keyword research tool can assist companies in locating the most …
Published in Journal of Advances in Shell Programming · Vol. 10, Issue 1, 2023 · pp. 1–11 Read article
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Improving The Accuracy of Medical Diagonosis Detection Using Machine Learning
Abstract: While accurate and timely medical diagnosis is a fundamental aspect of effective health care delivery, traditional methods have not been able to overcome major hurdles such as inefficiencies in data analysis with Gi Human Error as well as limitations in scalability. The “Improved Accuracy of Medical Diagnosis Detection Using Machine Learning” project seamlessly integrates advanced machine learning (M L) technologies with efficient preprocessing and feature selection techniques to outperform all …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 3, 2025 · pp. 1–8 Read article
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Knowledge discovery in software defect datasets using learning algorithms
Abstract: In this paper, the learning impact on various classification models were studied which were built using binary class-imbalanced data. Before the learning process, some preprocessing techniques were applied to training datasets for removing the redundancy. Nowadays feature selection and sampling techniques become an essential tool for many data mining task because learning algorithms do not perform well with defective datasets, dimensionality reduction problem arises. Sampling technique is also used to …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 5, Issue 2, 2018 · pp. 18–26 Read article
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Aura Pulse: An AI-Powered System for Real-Time Emotional Support and Personalized Recommendations
Abstract: Aura Pulse is a cutting-edge AI-powered platform developed to provide real-time emotional support, tackling the growing challenges of stress, anxiety, and burnout in today’s fast-moving digital era. Utilizing advanced facial expression analysis, Aura Pulse interprets visual cues to create a comprehensive emotional profile of the user. This instant emotional evaluation enables the platform to deliver personalized suggestions aligned with the user’s mood and mental state, promoting overall well- being and …
Published in Journal of Advancements in Robotics · Vol. 13, Issue 1, 2026 · pp. 18–25 Read article
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Developing an Assessment Protocol in Ayurvedic Research for Hyperemesis Gravidarum with Special Reference to Garbhini Chardi
Abstract: Garbhini Chardi (nausea and vomiting in pregnancy) is described in Ayurvedic texts as one of the Vyakta Garbha Lakshanas – early physiological signs indicating pregnancy. However, when this symptom becomes excessive, persistent, or distressing, it may transition from a normal event to a pathological condition, requiring timely intervention to safeguard maternal and fetal health. In advanced stages, it leads to day-to-day incapacitation, weight loss, dehydration, and metabolic disturbances – clinically …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 15, Issue 1, 2026 · pp. 44–61 Read article
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Quiz Application: A Review
Abstract: Educational tools are evolving in the digital age to cater to the needs of diverse learners. Among these tools, quiz applications have emerged as a popular and effective method for enhancing learning engagement. This study explores the significance of quiz applications in education, focusing on their impact on student motivation, knowledge retention, and overall learning outcomes. Quiz applications offer several benefits over traditional learning methods. To begin with, they provide …
Published in Recent Trends in Programming languages · Vol. 12, Issue 1, 2025 · pp. 16–25 Read article
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The Rise of Fractional Calculus: Novel Applications in Engineering and Biological Systems
Abstract: Fractional calculus (FC) is an advanced mathematical framework that generalizes the classical concepts of differentiation and integration to non-integer, or fractional, orders. This extension of traditional calculus allows for the modeling of complex dynamic systems that exhibit behavior not easily captured by integer-order differential equations. Over the last few decades, fractional calculus has seen a rapid rise in popularity, particularly in applied mathematics, engineering, and biological sciences, due to its …
Published in Recent Trends in Mathematics · Vol. 1, Issue 2, 2024 · pp. 7–11 Read article
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TextSum: An Automatic Text Summarization Tool using Bayesian Classification
Abstract: Automatic text summarization is the process of summarizing text from one or more documents in order to help the reader to determine if [s]he has to read the document(s) in full. Although automatic summarization is around for many years, there is a renewed interest in this area from the government, industry, and academia. The reason is the availability of large quantities of information due to world wide web and the …
Published in Recent Trends in Programming languages · Vol. 1, Issue 1, 2014 · pp. 1–3 Read article
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Improved Face Recognition Rate Based on PCA and LDA Using Image Preprocessing Techniques
Abstract: Principal component analysis (PCA) and linear discriminant analysis (LDA) are two powerful tools utilized for dimensionality reduction and feature extraction in most of pattern recognition applications. PCA selects features important for class representation while LDA algorithm selects features that are most effective for class separability. This paper carries out a comparative study of the two important algorithms in the context of enhancement obtained using certain image preprocessing techniques. The implementation …
Published in Journal of Instrumentation Technology & Innovations · Vol. 5, Issue 2, 2015 · pp. 19–24 Read article
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Issue and Challenges of Plagiarism in Digital Environment: A Conceptual Analysis
Abstract: Information explosion is the concept that originated after the invention of www. Plagiarism is one of the most discussed phenomenons nowadays. It has crept in the scholarly society in the late 19th century with information explosion. The paper discusses the possible ways to avoid the plagiarism. It presents a brief conceptual analysis of plagiarism along with information on some important plagiarism detection tools/software. It also compares the characteristic features of …
Published in Journal of Advancements in Library Sciences · Vol. 4, Issue 3, 2017 · pp. 65–69 Read article
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Reference Management Tools: A Comparative Study
Abstract: Reference management tools have been widely used by researchers to store, organize, and manage their references for theses, dissertations, journal articles, and other publications. There are a number of RM (Reference Management) tools available. In order for the users to decide which tool is best for their needs, it is important to know each tool's strengths and weaknesses. The present study compares prominent RMs Tools like RefWorks, EndNote, Mendeley, Zotero …
Published in Current Trends in Information Technology · Vol. 5, Issue 1, 2015 · pp. 29–34 Read article
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Virtual Tooling Development and Cost Estimation for Forging Dies Design
Abstract: Forging is a manufacturing process which requires an understanding of a wide range of geometrical, material and process parameters. Here is to be discussed about the various parameters of the forging process. The most important decision in this die design is about the parting line. It affects and is affected by part orientating, die design holder and die insert. There is involved a scientific approach to parting line and analysis …
Published in Journal of Production Research & Management · Vol. 7, Issue 3, 2017 · pp. 3–20 Read article
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Advanced Airline Operations Control System Using NodeJS
Abstract: This research paper presents the development of an Advanced Airline Operations Control System (AAOCS) using NodeJS, a lightweight and scalable JavaScript runtime environment. Leveraging NodeJS's event-driven architecture and non-blocking I/O model, the system facilitates efficient management of flight operations, crew scheduling, resource allocation, and real-time decision-making in the aviation industry. Key features include real-time decision support tools, a microservices-based architecture for scalability, integration with external data sources and APIs, and …
Published in Journal of Control & Instrumentation · Vol. 15, Issue 1, 2024 · pp. 45–51 Read article
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Enhancing Chatter Resistance in Deep Hole Boring Through Modified Tool Design: A Study on Impact of Length-To-Diameter (L/D) Ratio
Abstract: Deep hole boring is a specialized machining process crucial for creating precise bores with high length-to-diameter (L/D) ratios, particularly vital in aerospace, automotive, and oil and gas industries. The L/D ratio is pivotal for stability and performance. Chatter, a detrimental vibration phenomenon, is a significant concern in deep hole boring, influenced by the L/D ratio. Higher L/D ratios increase chatter, leading to poor surface finish and reduced tool life. Longer …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 2, Issue 2, 2024 · pp. 24–33 Read article
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Developing a RAG-PDF Reader Using Instructor XL and Falcon 7B
Abstract: This study outlines the development of a Retrieval-Augmented Generation (RAG) application, designed to efficiently extract, retrieve, and synthesize insightful responses from complex PDF documents. Leveraging advanced models like Instructor XL for generating high-quality semantic embeddings and Falcon 7B for sophisticated language generation, this system provides a robust solution for document comprehension in academic, research, and professional environments. By implementing efficient PDF text processing, embedding storage with FAISS for rapid similarity-based …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 45–49 Read article
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Flora Guardian: An Advanced Robotic System for Sustainable Weed Control and Precision Pesticide Application
Abstract: Agricultural systems are under pressure to enhance crop productivity while minimizing environmental damage. Efficient weed control and pesticide application are fundamental for sustainable agriculture, but traditional methods often fall short due to high labor costs and ecological harm. Existing robotic solutions, including drones and multi-legged robots, exhibit significant limitations, such as operational complexity and limited payload capacity. In contrast, Flora Guardian represents a novel approach by combining of weed detection …
Published in Journal of Advancements in Robotics · Vol. 12, Issue 1, 2025 · pp. 21–28 Read article
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Extracting High Dimensional Data by Using Fast Clustering Based Feature Subset Selection System
Abstract: AbstractThis paper presents the feature assortment involve identifying a subset of the majority valuable features with the intention of produce companionable results the same as the inventive complete set of features. A feature assortment system could exist evaluate commencing both the effectiveness and efficiency points of analysis. Although the effectiveness concerns the point in time necessary in the direction of locate a subset of features, the efficiency is linked toward …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 3, Issue 3, 2016 · pp. 1–13 Read article
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Harvestify: ML Based Tool for Home Gardening and Farming
Abstract: This study presents a cutting-edge application that will transform home gardening and agriculture practices using machine learning (ML) approaches. The main goal is to provide data-driven insights to home gardeners and farmers, enabling them to implement efficient and sustainable farming practices. Crop disease detection, fertiliser recommendation, and a community section for user engagement comprise the three main elements that make up the system's architecture. The Crop Disease Detection module analyses …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 2, Issue 2, 2024 · pp. 18–28 Read article
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Analysis of Web-Based Content of Indian Institute of Technology Libraries through Websites: A Study
Abstract: The main purpose of this study is to evaluate and analyze the content and design performance of Indian Institute of Technology (IITs) libraries' websites. This study is based on online survey and observation methods through some selected checklists/parameters and GTmatrix tools to analyze the websites' design and performances. Most of the chosen IITs' libraries' websites were very easy. They had fundamental usability features regarding general information related to the library, …
Published in Journal of Advancements in Library Sciences · Vol. 9, Issue 2, 2022 · pp. 24–33 Read article