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455 articles for “user analysis”
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Tweets Classification using Different Classifiers for Sentiment Analysis
Abstract: Twitter is a famous platform for social networking where people share and engage with "tweets" comments. It is a way of expressing people's opinions or emotions on various topics. Different parties, like producers and consumers, have carried out a sentiment analysis on tweets to gain insights into goods or to analyze the sector. Also, the accuracy of our sentiment analysis forecasts will increase with the recent advances in machine learning …
Published in Research & Reviews : Journal of Statistics · Vol. 10, Issue 3, 2021 · pp. 34–43 Read article
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Design Optimization and Performance Analysis of Autonomous Drone Systems
Abstract: In recent years, drones have become indispensable tools across various industries, thanks to their versatility and wide-ranging applications. The fabrication of drones is a complex process that integrates multiple engineering disciplines, including mechanical design, electrical systems, aerodynamics, and software development. The meticulous design of the drone’s frame, taking into account factors such as weight, durability, and aerodynamic efficiency, marks the commencement of the fabrication process. The paper presented a comprehensive …
Published in Journal of Aerospace Engineering & Technology · Vol. 14, Issue 3, 2024 · pp. 21–30 Read article
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An Investigation of Designing for Changes in User Interface (UI), User Experience (UX), and Understanding
Abstract: Interface technologies have progressed into CUI, GUI, and NUI because of the advancements in Internet of Things, mobile, and cloud computing technologies. A new UI/UX design is anticipated to be created in the future. In this study, we demonstrated our knowledge of the internet, operating systems, contents, and gadgets, as well as our capacity to produce interfaces. For 29 participants, including sophomores, juniors, and seniors in IT departments, a list …
Published in Journal of Open Source Developments · Vol. 10, Issue 3, 2023 · pp. 20–24 Read article
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End User Technology Acceptance Towards ERP in an Organization
Abstract: AbstractThis study aims to investigate the effects of four beliefs of a group of end users on the adoption of ERP systems. These beliefs are constructed based on Technology Acceptance Model (TAM). The beliefs examined were perceived usefulness, ease of use, expected capability, and expected value. One of the United Nations (UN) organizations has been selected as a case study for the research. A population of staff comprised from Human …
Published in Journal of Advancements in Library Sciences · Vol. 1, Issue 3, 2014 · pp. 43–53 Read article
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Machine Learning Based House Price Forecasting
Abstract: This research endeavours to craft a predictive model leveraging machine learning to estimate the market value of houses in Delhi. By integrating Python and its powerful libraries, pandas for data processing, Plot for interactive visualizations, scikit-learn for implementing machine learning algorithms, XGBoost for boosting the model's prediction accuracy, and to evaluate the model's performance cross-validation techniques are used. An interactive user interface is created using a Flask web application to …
Published in Current Trends in Information Technology · Vol. 14, Issue 1, 2024 · pp. 5–11 Read article
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Secured Privacy Framework
Abstract: Online social networks (OSNs) have become mainstream way of sharing media and information among friends, online. With ever increasing number of internet users, and in turn OSN users, there is an increase in risks related to user’s privacy and security. There are three core privacy issues in today’s OSNs, such as not asking for user’s consent, not able to categories data or friends on the basis of certain factors, and …
Published in Journal Of Network security · Vol. 8, Issue 1, 2020 · pp. 32–37 Read article
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A simple analytical theory for the preliminary structural design of submarine
Abstract: An Underwater Vehicle (UV) is designed to function underwater and range from an Autonomous UV to a submarine. The main difficulty that UV designers face is minimizing the weight of the pressure hull to maximize payload and propulsion velocity while reducing construction cost and time by employing appropriate material and design approaches. Herein, we examine applications geared toward submarines as well as the creation and development of an analytical model …
Published in Journal of Offshore Structure and Technology · Vol. 11, Issue 1, 2024 · pp. 1–11 Read article
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Disease Prediction Using Machine Learning (ML)
Abstract: A technique called Machine Learning Disease Prediction uses symptoms reported by users or patients to forecast disease. The user-provided symptoms are entered into the system, and it outputs the disease probability. In disease forecasting, various popular supervised machine learning methods are known to be utilized. These algorithm estimates the likelihood of a disease occurrence. Precise analysis of medical information will support timely disease detection and management of patients based on …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 12, Issue 2, 2024 · pp. 40–48 Read article
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Multi-Class Automatic Emotion Classifier
Abstract: Now a day’s various social networking sites has become a very popular communication tool among internet users across the world. People keep on updating their status, thoughts, opinions, suggestions etc. across the continent which often includes their emotions and sentiments. Therefore social networking sites are rich sources of data for opinion mining and sentiment analysis. In this paper, we are focusing on using Twitter, the most popular social networking platform, …
Published in Journal of Advancements in Robotics · Vol. 5, Issue 1, 2018 · pp. 15–25 Read article
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Real-time Emotion-aware AI Counseling System with Memory Retention Polymer Composites
Abstract: The availability of mental health services is still a major barrier, with many individuals constrained by financial limitations, social stigma, and a shortage of accessible counselors. This work introduces an emotion-aware AI counselor designed to provide empathetic and personalized emotional support via voice-based interfaces. The system leverages Natural Language Processing (NLP) and sentiment analysis to detect emotional cues from speech and generate contextually appropriate, comforting responses. A key innovation is …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1395–1407 Read article
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Design and Validation of Polymer-Separated Lithium-Ion Battery Powered Mini-UPS for Networking Applications
Abstract: Due to the growing use of semiconductor-based electronic devices in networking applications, power interruptions can cause data loss, productivity loss, and system disruptions. To eliminate these outages, Mini Uninterruptible Power Supplies are expensive and have single-use batteries with shorter battery lives. These networking wires, cables, and other electrical components are polymer-insulated. Polymers with low dielectric constants have the potential to improve antenna interlayer dielectrics, communication cables, and other hardware for …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 917–933 Read article
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Information-Seeking Behavior among PG Students of University of Kashmir: An Analytical Study
Abstract: AbstractThe aim of this study is to reveal the information-seeking behavior of postgraduate students in different departments of the University of Kashmir. A well-framed questionnaire was used to gather the data related to the problem. Questionnaires were distributed among postgraduate students of the University of Kashmir. The students were selected using a random-sampling approach and the departments were randomly selected. The findings reveal that the majority of the students use …
Published in Journal of Advancements in Library Sciences · Vol. 1, Issue 1, 2014 · pp. 64–72 Read article
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An Evaluation of Versatile CNC Machines for Tabletop Applications
Abstract: The tabletop CNC provides a comprehensive analysis of computer numerical control (CNC) machines tailored for tabletop use. In today's rapidly evolving manufacturing landscape, compact and adaptable CNC systems have gained prominence due to their potential to revolutionize small-scale production and prototyping. This research examines a range of versatile CNC machines, assessing their capabilities, precision, ease of use, and suitability for various tabletop applications. By exploring key factors such as size, …
Published in Journal of Polymer & Composites · Vol. 11, Issue 8, 2023 · pp. 88–104 Read article
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Streamlining Data Quality: A Conceptual Model and Excel-based Tool for Email Duplicate Removal
Abstract: In the realm of data management, ensuring data quality is paramount for meaningful analysis and decision making. This research paper presents a novel conceptual model and practical tool designed to address the challenge of removing duplicate entries from datasets containing email IDs. The proposed mathematical model for duplicate removal is meticulously developed and subsequently implemented in Microsoft Excel, leveraging Visual Basic for Applications. The Excel interface is enhanced with user-friendly …
Published in Journal of Advanced Database Management & Systems · Vol. 10, Issue 3, 2023 · pp. 41–59 Read article
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FEATURE SELECTION METHODS FOR OBJECT-BASED CLASSIFICATION OF TROPICAL FOREST USING SPOT 5 IMAGERY
Abstract: The faster development of spatial technology, the more options in material for image analysis and this characteristic also leads to a huge diversity of image features. Aiming at investigating the optimal feature space for classification with emphasis on efficiency in less time-consuming, image objects separability, certain numbers of approaches ranging from graphical to statistical methods involving class separation distances have been used for classification related to Object-based Image Analysis (OBIA). …
Published in Journal of Remote Sensing & GIS · Vol. 7, Issue 2, 2016 · pp. 41–49 Read article
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Depression Detection Using AI with Chatbot Support
Abstract: Depression is a major global health concern and a significant contributor to suicide rates worldwide. India reports a high number of suicide cases, making the early detection of mental distress and depression essential for timely intervention. This research presents an AI-based system for depression detection that integrates deep learning, natural language processing (NLP), and a chatbot for user support. The system analyzes facial expressions using convolutional neural networks (CNNs) and …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 14, Issue 1, 2025 · pp. 01–08 Read article
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Comparison Performance Analysis of Multi-Wavelet Based Watermarking Techniques for Medical Images Using Genetic Algorithm (GA)
Abstract: In this paper, the scaling factor of the watermark is the significant parameter that helps in improving the imperceptibility and robustness against attacks. The tradeoff between the imperceptibility and robustness is considered as an optimization problem and is solved by applying genetic algorithm (GA). The water marking is proposed to be implemented using a hybrid approach which encompasses discrete wavelet transforms (DWT), lifting wavelet transforms (LWT) and singular value decomposition …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 3, Issue 1, 2016 · pp. 15–23 Read article
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MIRDcalc & OLINDA/EXM Dosimetry Software Analysis by SPECT/CT Scan Data of Lu-177 DOTATATE Radionuclide Therapy of NET Patients
Abstract: Accurate dosimetry is essential in nuclear medicine for optimizing radionuclide therapies and ensuring patient safety. In Radiopharmaceutical dosimetry the Medical Internal Radiation Dosimetry (MIRD)Society is the pioneer in organ-level dosimetry providing the fundamental basis for commonly used clinical and research dosimetry software like MIRDOSE and OLINDA/EXM. Recently, in MIRD Pamphlet No. 28, Part 1, the MIRD committee of the Society of Nuclear Medicine and Medical Imaging presented a new Software …
Published in Journal of Nuclear Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 48–63 Read article
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Extraction of speech Emotion Features Using MLP Classifier
Abstract: Speech Emotion Recognition is a thriving research topic. Speech emotion recognition use MLP classifier to categorize the emotions from the speech. This Speech is also used as the medium, through which one can express their feelings and mind state in human to machine interaction. The case is very easy where two humans communicate along with their emotions as by nature, they can recognize each other’s emotions. But for computer, if …
Published in Journal of Instrumentation Technology & Innovations · Vol. 12, Issue 3, 2022 · pp. 11–19 Read article
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An Empirical Analysis of Bluetooth Low Energy Reliability Challenges for Offline Messaging Applications
Abstract: In today's hyper-connected world, modern communication relies heavily on centralised internet infrastructure, making robust offline messaging solutions increasingly essential. A crucial vulnerability is revealed by network failures, natural disasters, and distant region deployments: communication breaks down when internet connectivity does. Due to its low power consumption and almost ubiquitous availability in contemporary smartphones, Bluetooth Low Energy (BLE) has become a promising candidate for offline, device-to-device communications. This study presents an …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 13, Issue 2, 2026 Read article