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15 articles for “matching score”
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Enhancing Palm Print Recognition System
Abstract: Palmprint is the most popular and reliable feature of biometric system. From the palmprint different features can be extracted for recognition. In this paper the method of personal identification is based on broken lines and repeated lines of palm. The image of a palm captured from database contains not only the principal lines but also irregular lines like repeated lines and broken lines. The proposed method extracts the pattern lines …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 2, Issue 2, 2015 · pp. 61–69 Read article
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The Impacts of Fluoride Contamination in Groundwater on Public Health in India: Evidence from Skeletal Diseases and Dental Diseases
Abstract: Abstract The objective of this paper is to examine the potential effects of fluoride exposure by analyzing the influence of fluoride contamination in drinking water on health outcomes across various districts of India. The paper will mainly highlight two health outcomes- dental diseases and skeletal diseases. This study also examine the health impacts associated with fluoride contaminated water across the different considered samples with the inclusion of additional demographic and …
Published in Journal of Water Pollution & Purification Research · Vol. 3, Issue 2, 2016 · pp. 43–60 Read article
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Ki-67, S-100, Calretinine and Reticulin Profile of Adrenal Lesions and Their Correlations with Standard Histological Criteria
Abstract: Histological diagnosis of adrenal lesions is difficult and needs multiple approaches. Histopathological examinations of 31 adrenal specimens were categorized following Weiss and Pass method and scorings were done. Immunohistochemical and special stains were also performed. In the present study, the 12 medullary cases included pheochromocytoma, neuroblastoma, ganglioneuroma, metastasis to adrenal tissue and metstatic pheochromocytoma.19 cortical cases included cortical hyperplasia, adenomas, carcinomas, myelolipomas and one case of cortical carcinoma. Weiss score …
Published in Research and Reviews : A Journal of Immunology · Vol. 9, Issue 2, 2019 · pp. 30–35 Read article
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A Review of Video Shot Boundary Detection (SBD) technique
Abstract: The first step in effective video management system which provides the facility of content based video search, analysis and retrieval system is Video Shot Boundary Detection (SBD). A shot is a sequence of frames obtained from a single camera without interrupting it. A video contains a lot of shots that are accompanied with transitions from one shot to another. When shot transition occurs over a few number of frames, it …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 5, Issue 2, 2018 · pp. 59–70 Read article
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Retrieval Augmented Generation for Question Answering in Financial Documents
Abstract: In recent years, the integration of Question Answering (QA) with the Retrieval Augmented Generation (RAG) system has transformed to interact with numerous documents. It uses Natural Language Processing (NLP) techniques to improve accuracy and relevant responses derived from huge documents. RAG integrates the advantages of the retrieval and generation process, which allows systems to generate natural responses and extract context from multiple sources. The main reason to use RAG is …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 2, 2025 · pp. 62–68 Read article
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Improving Dataset Integrity Through Automated Data Cleaning Techniques
Abstract: High-quality data is a fundamental requirement in data science for producing trustworthy analytical insights and effective machine learning models. Problems, including incomplete records, inconsistent entries, duplicate observations, and anomalous values, can severely reduce the accuracy and robustness of predictive systems. As modern datasets continue to expand in both volume and structural complexity, relying on manual data cleaning methods become time-consuming and error-prone, highlighting the growing importance of automated data preprocessing …
Published in International Journal of Data Structure Studies · Vol. 4, Issue 1, 2026 · pp. 40–45 Read article
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A Machine Learning Approach to Forecasting Outcomes in Limited Overs Cricket
Abstract: This study explores the application of machine learning techniques to forecasting outcomes in limited overs cricket matches, with a particular focus on One Day Internationals (ODIs). The research investigates how classification algorithms can be effectively utilized to analyze both contextual and dynamic factors that influence match results, including venue details, toss decisions, team strength, and historical performance records. By employing a structured methodology encompassing feature selection, data preprocessing, model training, …
Published in Recent Trends in Sports · Vol. 2, Issue 2, 2025 · pp. 09–19 Read article
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Pharmacophore mapping, 3D QSAR, docking, and ADME prediction studies of novel Benzothiazinone derivatives
Abstract: Background Tuberculosis is a major public health concern worldwide which is caused by Mycobacterium tuberculosis. DprE1 (Decaprenyl Phosphoryl Ribose 2’- Epimerase) is the most challenging target for development of novel anti- tubercular agents because it is a small protein and located into cytoplasmic membrane. So, novel anti-TB drugs did not bound effectively with it. DprE1 catalyzes the oxidation of the 2’ hydroxyl group of DPR (Decaprenyl Phosphoryl D- Ribose) …
Published in International Journal of Antibiotics · Vol. 1, Issue 1, 2024 · pp. 59–82 Read article
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Prioritization of Transit Stations to Promote as Transit-Oriented Development Using Analytic Hierarchy Process
Abstract: Multi-Criteria Decision-Making (MCDM) is always a tricky process for choosing the best optimal among various alternatives available. Analytic Hierarchy Process (AHP) is one of the most widely used concepts across the globe in different disciplines among various MCDM methods. In this study, AHP is used to prioritise the new or existing transit stations for its Transit Oriented Development (TOD) implication. TOD is known as multi faced planning concept which assures …
Published in Trends in Transport Engineering and Applications · Vol. 6, Issue 2, 2019 · pp. 14–29 Read article
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Semantics Analysis of Expected Goals in Soccer Data Using Machine Learning
Abstract: In recent years, the increasing availability of soccer data has greatly enhanced the accuracy and depth of player performance evaluation. Soccer, being one of the most popular sports worldwide, attracts millions of fans due to its simple rules, minimal equipment requirements, and high entertainment value. However, analyzing an entire match manually can be time-consuming, leading to a growing demand for automated methods that can summarize and interpret game data efficiently. …
Published in International Journal of Data Structure Studies · Vol. 3, Issue 2, 2025 · pp. 31–47 Read article
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Record Linkage in Knowledge Discovery Process Using Angle Based Machine Learning
Abstract: Record linkage is a critical data cleansing step in the knowledge discovery process, aimed at identifying and resolving inconsistencies across datasets. This study proposes an enhanced record linkage framework tailored for uncertain and large-scale data using a combination of distance measurement, probabilistic modeling, and semantic reasoning. A novel angle-based distance measurement technique is introduced to optimize matching between candidate records. To further boost match accuracy, a Finite Mixture Model (FMM) …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1157–1170 Read article
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Comparative Analysis of Supervised Learning Algorithms
Abstract: Supervised learning is a fundamental and widely used branch of machine learning in which models are trained on labeled datasets, meaning that each input is associated with a known output. Supervised learning algorithms develop predictive capability by understanding the mapping between input variables and corresponding output labels, enabling them to accurately forecast outcomes for previously unseen data. Due to this capability, supervised learning has found extensive applications across diverse domains …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 · pp. 25–30 Read article
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AI-Based Outfit Rating and Suggestion System
Abstract: The increasing demand for personalised fashion advice in the digital era has highlighted the need for intelligent, automated styling solutions. The AI-Based Outfit Rating and Suggestion System is a web- based platform that assists users in evaluating and improving their clothing choices through intelligent image analysis. Unlike conventional fashion applications that merely identify garment categories or suggest purchases, this system performs a holistic assessment of complete outfits by analysing colour …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 2, 2026 Read article
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Effective CBIR System Using Color Histogram and Distance Measures
Abstract: AbstractInterests to precisely retrieve desired images from databases of medical images are developing every day. Certain features define the images; on the basis of those, the retrieval of images is facilitated. These components incorporate texture, color, shape and region. A lot of work has been done in this direction to discover the new ways to use these features in image retrieval process. In this study, we exhibit an overview of …
Published in Journal of Web Engineering & Technology · Vol. 6, Issue 1, 2019 · pp. 11–14 Read article
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Idempotent Semiring Path Algebras and Fuzzy Dominance Automata for Multi-State Communication Reliability
Abstract: A semiring-based theory is proposed for multi-state communication reliability with fuzzy dominance constraints. Links are weighted in the max-product semiring, while nodes carry dominance coefficients and operating states that modulate admissible transitions in a weighted automaton. The paper derives semiring matrix products, Kleene closures, fixed point equations, congestion-regularized path scores, and reliability inequalities. A fuzzy dominance automaton is introduced so that route selection depends not only on link reliability but …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 13, Issue 2, 2026 · pp. 07–14 Read article