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238 articles for “retrieving data”
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Ensuring Excellence: Quality Assessment of English Text and Speech Data Using NLP and ML
Abstract: The effectiveness and precision of speech processing and natural language processing (NLP) applications are substantially influenced by the quality of text and speech input. The combination of NLP and Machine Learning (ML) techniques has shown tremendous promise in recent years for improving the quality of written and verbal data. The present research enables a thorough investigation of techniques and strategies to enhance data quality using NLP and ML. The results …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 10, Issue 3, 2023 · pp. 31–37 Read article
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Urban Planning Mitigation Trajectories for Urban Heat Island (UHI) A Case Study of Guntur, Andhra Pradesh, India
Abstract: AbstractGlobal radiation related solair-temperature directly influences Urban Heat Islands (UHI) as the built environments and surrounding atmosphere cause increase in urban solair temperatures, the resulting temperature completely depends on the thermal properties of the exposed materials. Urban heat islands can lead to deterioration of flora and fauna, elevation of ground level ozone, health disorders and increase in building energy consumptions. The study area of Guntur region which is susceptible to …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 8, Issue 2, 2018 · pp. 12–29 Read article
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Melody Extraction from Polyphonic Music Using Deep Neural Network: A Literature Survey
Abstract: Abstract: Melody extraction plays an important role in the field of Music Information Retrieval (MIR). It has emerged as one of the active research problems in the MIR applications. Nowadays, the music providers have to facilitate searching of music based on their contents or recommend music based on user’s interest having similar contents. Melody extraction is necessary to fulfil these user-interest driven searching and recommendation. The main objective of melody …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 6, Issue 3, 2019 · pp. 16–21 Read article
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CBIR Using Various Approaches: A Review
Abstract: AbstractContent based image retrieval (CBIR) is important technique for finding various images from a huge amount of image database. So, picture hunt and recovery from extensive picture informational collection is difficult task. CBIR utilizes the picture visual contents for instance shading, shape and surface to list and speak to picture. In this paper, all the methods of color, texture and shape features removal is described. Researchers can combine one of …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 4, Issue 3, 2017 · pp. 24–30 Read article
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VeriSci—AI-Based Multi-Modal Research Assistant
Abstract: The exponential growth of scientific literature is a major bottleneck for academic researchers who want to efficiently discover, assess, and synthesize relevant scholarly knowledge. Traditional methods of literature review are heavily reliant on manual keyword searching, human screening, and subjective data extraction, making them time-consuming, susceptible to cognitive bias, and less effective as the tidal wave of information continues to grow. To overcome these limitations, this study introduces VeriSci, an …
Published in Journal of Advanced Database Management & Systems · Vol. 13, Issue 2, 2026 · pp. 20–27 Read article
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A Comprehensive Tool for Authenticating Instagram Profiles Using Instaloader
Abstract: With the rapid growth of Instagram as a dominant social media platform, there is an increasing need for tools that allow users to extract, analyze, and monitor profile data efficiently. Instagram has become one of the leading platforms for personal branding, influencer marketing, business promotion, and public communication. As businesses and individuals seek to better understand their presence and influence on this platform, the need for reliable data extraction tools …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 93–98 Read article
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An Ontology-Based Learnable Focused Crawler using Hybrid Latent Semantic Indexing In Data Mining
Abstract: In this paper, we proposed an ontological model of an information system that provides precise definitions of fundamental concepts like Query, Sub-query, and Coupling. Queries are mapped to this space with documents being retrieved based on similarity model. In this Research, OLC (Ontological Semantic Indexing) Performance in document retrieval is investigated and compared with traditional term matching techniques with the help of LSI, LUD, CHOLSKEY Transform, Natural language processing to …
Published in Journal of Web Engineering & Technology · Vol. 2, Issue 2, 2015 · pp. 11–17 Read article
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Journal Reading Preferences among Ophthalmologists: A Study in India
Abstract: Background: Scientific journals provide evidences and facilitate to build the core knowledge in a professional field. Ophthalmologists/eye doctors working in academic eye hospitals read journals to do evidence-based practice, research, and teach. The purpose of this study is to determine journal reading preferences among those ophthalmologists. Methodology: The study design is cross-sectional and convenience sampling method is adopted. A structured questionnaire was used to collect data. SPSS 18 PASW Statistical …
Published in Journal of Advancements in Library Sciences · Vol. 7, Issue 3, 2020 · pp. 44–51 Read article
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Network Pharmacological Studies in Biological Interactions of Thymoquinone
Abstract: Thymoquinone, a bioactive phytochemical compound belonging to the class of benzoquinones, is prominently present in the plant Nigella sativa. Despite its widespread use, the precise molecular mechanisms underlying its beneficial effects remain elusive. To address this gap, we employed network pharmacology to investigate the actions of Thymoquinone (TQ). Our methodology encompassed the utilization of diverse bioinformatic tools to scrutinize this molecule of interest comprehensively. Initially, we retrieved the chemical structure, …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 12, Issue 3, 2023 · pp. 18–25 Read article
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Hand-Writing Recognition Using Structural, Statistical Features
Abstract: One of the very crucial challenges in pattern recognition operations is handwriting recognition, often known as handwritten number recognition. The processing of bank checks, the sorting of postal mail, the entry of data into forms, etc. are all procedures involving number recognition. The ability to create an efficient algorithm that can retrieve handwritten integers submitted by drug users via a scanner, tablet, and other digital gadgets is at the core …
Published in Journal of Electronic Design Technology · Vol. 14, Issue 1, 2023 · pp. 8–14 Read article
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RFID Based Smart Trolley Billing System Using IoT
Abstract: Customers experience better retail interactions while operations become more efficient in the modernizing retail industry. Shopping through traditional methods requires lengthy manual scanning for products and billing operations leading retailers to require automation solutions for streamlining these processes. This system consists of RFID detection alongside 8051 microcontroller processing and load cells monitoring and uses IoT communications and relay controls to power an intelligent automated shopping cart. Real-time data tracking functions …
Published in Journal of Semiconductor Devices and Circuits · Vol. 12, Issue 3, 2025 · pp. 1–8 Read article
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SmartCloud: Extending an AI-Powered Cloud Storage System with Automated S3 Glacier Archiving, SimHash Near-Duplicate Detection, and a Custom-Trained Random Forest Recommendation Engine
Abstract: Cloud storage services have become fundamental infrastructure for both individuals and organizations, yet they continue to charge users for every byte retained without offering any mechanism to automatically reduce that footprint over time. Files accumulate progressively, near-identical document revisions go undetected, and cold data occupies expensive active storage tiers indefinitely. The present work introduces SmartCloud, a fully deployed multi-cloud storage optimization platform that addresses these inefficiencies through four integrated engineering …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 13, Issue 2, 2026 · pp. 36–44 Read article
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Customers’ Information: A Tool for Customers’ Retention in Hotels, A Case Study of Presidential Hotel, Rumuola, Portharcourt, Rivers State
Abstract: This research focused on customers’ information, a tool for customers’ retention, a case study of Presidential Hotel, Rumuola, Portharcourt, Rivers State. Specifically, the study helped to know how to win customers in other words to retain them and make them enjoy the various services being paid for and prefer such services to other competing hotels. The study made use of survey for its research design and a sample size of …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 7, Issue 3, 2017 · pp. 1–6 Read article
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Data Maneuvering Identification
Abstract: Copy-move forgery detection (CMFD) is unquestionably one of the most active research areas in the field of blind image forensics. Most existing algorithms rely on block and key-point strategies, either separately or jointly. Recent applications of deep convolutional neural network (CNN) techniques include image forensics, image hashing retrieval, and picture classification. These techniques have outperformed more conventional techniques in many areas. In this study, a brand-new convolutional neural network based …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 10, Issue 1, 2023 · pp. 99–104 Read article
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Investigations on Potential Relationship between Biomass and Surface Temperature using Thermal Remote Sensing over Tropical Deciduous Forests
Abstract: The forest temperature and forest biomass are important parameters in concern to forest ecosystem and related parameters. Satellite remote sensing data is the best possible source for obtaining information on both regional and global scales. Landsat TM is used to retrieve the surface temperature using spectral information and radiation heat flux parameters for a tropical deciduous forest area of Munger forests (Bihar, India). Surface emissivity values derived from spectral band …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 2, Issue 3, 2013 · pp. 13–18 Read article
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Recent Advances in Content-based Image Retrieval: Techniques and Applications
Abstract: Content-based image retrieval (CBIR) plays a vital role in computer vision, driven by the increasing need for fast and accurate image retrieval across fields like healthcare, e-commerce, and digital libraries. This study offers a detailed review of CBIR methodologies, charting their progression from traditional feature extraction techniques, such as Local Binary Patterns (LBP), to contemporary deep learning-driven methods. The transformative impact of convolution neural networks (CNNs) is highlighted, emphasizing their …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 67–71 Read article
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Traversal Speed Comparison of BFS and DFS in Balanced and Skewed Binary Trees
Abstract: In this paper, we provide an analysis of how well both breadth-first search (BFS) and depth-first search (DFS) algorithms perform while wandering through two kinds of binary trees: balanced and skewed. The research was motivated by the practical application of storing files and directories in a certain type of parent-child relationship through the use of hierarchical file systems (e.g., windows explorer). The result of measuring how fast and versatilely these …
Published in International Journal of Data Structure Studies · Vol. 4, Issue 2, 2026 Read article
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Hybrid Feature Selection Approach for Stability Prediction for Intracerebral Hemorrhage Patients
Abstract: Intra Cerebral Hemorrhage (ICH) stability estimation is useful for enhancing diagnosis accuracy, selecting the best course of treatment, and clinically evaluating variations with healthy individuals. Due to their low predictive value, the clinical application of several ICH progression scoring systems is constrained. The dataset includes clinical parameters including age, Glasgow Coma Scale (GCS), and CT Angiography (CTA) spot that have been retrieved using geometric features from the segmented bleeding volume …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 9, Issue 2, 2022 · pp. 9–17 Read article
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An Accuracy Improvement in Facial Verification through Siamese Neural Networks
Abstract: Due to the ever-growing number of digital photos on the Internet, the task of automatically analysing images to extract semantic content has become quite important in recent years. In order to successfully organize the photographs, image indexing and image retrieval strategies need top-notch, effective image analysis and pattern recognition algorithms that can extract relevant semantic data. Face recognition plays a critical role in a variety of real-world applications, including AI-driven …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 10, Issue 2, 2023 · pp. 1–9 Read article
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Unmasking Hallucinations in Large Language Models Using Analysis of the LLAMA 2 Model and RAG Intervention
Abstract: The study describes the creation of a chatbot for financial trading called "TradeBot" and how it uses Retrieval Augmented Generation (RAG) to overcome the problem of producing false or unverifiable information, sometimes known as hallucinations. RAG allows the chatbot to refer to an external data source in addition to its taught knowledge, which increases the accuracy of its responses. The NCFM (NSE's Certification in Financial Markets) book was integrated as …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 1, 2025 · pp. 76–86 Read article