Science topics: Data MiningClassification
Science topic
Classification - Science topic
The systematic arrangement of entities in any field into categories classes based on common characteristics such as properties, morphology, subject matter, etc.
Publications related to Classification (10,000)
Sorted by most recent
The railway station is one of the most important facilities in cities and serves as a crucial node in the rail transport network. It cannot be researched or planned without proper identification. The classification of railway stations is considered a fundamental step in their identification, and it is necessary to determine the distinctions between...
Dear Colleagues, Time series data plays an important role in various fields, such as finance, meteorology, biomedicine, smart factories, etc. Time series forecasting and classification are key tasks aimed at identifying and predicting trends, patterns, and anomalies in these data. This Special Issue is looking for some advanced algorithms for time...
Inequality reduces the ability of communities to work together. Recent policy proposals seem to presume that reducing inequality may allow groups to improve outcomes. We experimentally test if, after experiencing inequality, pure redistribution to eliminate inequality increases contributions to public goods. It does not; it fails to raise cooperati...
Characteristic function is an important property of statistical distribution. The characteristic function uniquely determines a probability distribution. In this article, we have characterized the continuous uniform distribution by the characteristic function and observed that these characterizations may serve as a basis for possible applications i...
This paper proposes a novel multimodal deep weakly-supervised learning framework, SinkholeNet, to classify and localize sinkhole(s) in high-resolution RGB-slope aerial images. The SinkholeNet first employs a multimodal Convolutional Neural Network (CNN) architecture that simultaneously extracts features from the input RGB image and ground slope map...
Data mining is a common technique used in the business sector, and machine learning is a key component of its use since it can analyze data and locate patterns within it. In this research, the role that machine learning plays in data mining is examined in depth. Additionally, the definition, model, development stage, classification, and commercial...
Distribution shift (DS) may have two levels: the distribution itself changes, and the support (i.e., the set where the probability density is non-zero) also changes. When considering the support change between the training and test distributions, there can be four cases: (i) they exactly match; (ii) the training support is wider (and thus covers th...
Conversational generative language models (GLMs) like ChatGPT are being rapidly adopted. Previous research on non-conversational GLMs showed that formulating prompts is critical for receiving good outputs. However, it is unclear how conversational GLMs are used when solving complex problems that require multi-step interactions. This paper addresses...
Although research has shown vulnerabilities and shortcomings of the CAN bus and proposed alternatives, the CAN bus protocol is still the industry standard and present in most vehicles. Due to its vulnerability to potential intruders that can hinder execution or even take control of the vehicles, much work has focused on detecting intrusions on the...
Collocations in the literary texts, resulting from the poet and author's creativity in choosing proper words in the paradigmatic axis, along with the presentation of novel images create a pleasant meaning and word proportionality that is sometimes considered as the style of the poet or author. Thus, the study of Collocations in literary texts is an...
Gamification studies in the educational domain usually focus on motivating students to increase their learning performance by enhancing their motivation. Classifications of behavioural profiles are often used for this (referred to as "gamer" or "user types"), which support the personalization of students' experiences. These classifications consider...
The research relevance is predefined by loneliness being one of the key issues in contemporary philosophy. The research aims to determine the role of loneliness in modern philosophy and the views on the phenomenon. The following methods of theoretical knowledge were used in the research: analysis, synthesis, comparison, abstraction, concretization...
In this article, we explore the characteristics of the Ricci solitons (briefly, RS) together with Yamabe solitons (briefly, YS) on the perfect fluid Lorentzian α-para Kenmotsu spacetimes (briefly, (L α-PK) S T). Certain conclusions corresponding to applications of such spacetimes in general relativity and cosmology are obtained. We have given an ex...
State-of-the-art models for pixel-wise prediction tasks such as image restoration, image segmentation, or disparity estimation, involve several stages of data resampling, in which the resolution of feature maps is first reduced to aggregate information and then sequentially increased to generate a high-resolution output. Several previous works have...
In this article, the indicators studied in the organization of the operational activity analysis of enterprises are divided into general and structural indicators based on the results of the activity. In the analysis of operational activity, the classification signs of these indicators, the content of these indicators, theoretical and practical asp...
The goal of the present paper is to observe the properties of LP-Sasakian manifolds prepared with new semi-symmetric non-metric connection. We make a plan to study some curvature's properties of LP-Sasakian manifolds admitting new semi-symmetric non-metric connection. Semi-symmetric and locally φ-symmetric LP-Sasakian manifolds admitting new semi-s...
In this paper we obtain extension properties for monotone sublinear operators. The results obtained generalize those known for positive linear operators. Several examples illustrating the results obtained are given. Mathematics Subject Classification (2020): 47B65, 47H05, 47H07. 1. Introduction. Recently, the classical Korovkin's approximation theo...
Spanish normative grammar considers any two-vowel combination of /e/, /a/, and /o/ as a hiatus, accepting that they can be pronounced as a diphthong in lower basilects and/or informal registers. This article analyzes speeches of educated speakers, performing an acoustic analysis of 60 segmental and suprasegmental features in 493 vowel sequences. Li...
In this paper, our aim is to study the right generalized (a, b)-reverse derivations on semi-prime near-ring and generalized dependent element of right generalized (a, b)-reverse derivation and right generalized b-reverse derivation on semi-prime near-ring. We generalize some useful results by using these notions. Subject Classification: (2010) 16Y3...
The paper presents data on the classification, structure, and biota of reef complexes from the Late Ordovician-early Silurian Altai Basin. The early Paleozoic history of the Altai Basin included the early-middle Katian, late Katian, early Hirnantian, late Telychian, and middle-late Sheinwoodian events of large-scale reef formation which produced fr...
Delle 19 specie di anfibi valutate, 15 (79 %) fanno parte della Lista Rossa secondo i criteri dell’Unione internazionale per la conservazione della natura (UICN). Anche se la percentuale di specie minacciate è quasi invariata rispetto all’ultima Lista Rossa del 2005, dimostra che le misure di protezione degli anfibi hanno almeno rallentato la riduz...
The focus of this paper is on the cytology of the decorative motifs of wall hanging textiles in contemporary Nigeria, which appears to have been accorded little or no attention. The objective is to reveal the classification of motifs adaptation for textile wall hangings in Nigeria with a view to codify the patterns based on techniques, style and me...
The monograph highlights the species composition and content,
distribution in the soil layers, seasonal dynamics, taxonomy and ecology of
nematodes, microarthropoda (oribatid mites, springtails) in infected and partially
uninfected soils. At the same time, it shows the research methods of soil
invertebrates, general classification, structure and ec...
This article presents various literature related to flying fish from 1930 to the present, which are shown in the form of aspects of biology, distribution, fisheries, and utilization of Current Technology in Flying Fish Research. This study was conducted through a systematic search and review of various articles, books, dissertations, and theses tha...
p>In industry NLP application, our manually labeled data has a certain number of noisy data. We present a simple method to find the noisy data and relabel them manually, meanwhile we collect the correction information. Then we present novel method to incorporate the human correction information into deep learning model. Human know how to correct no...
We consider topological defect lines (TDLs) in two-dimensional fermionic conformal field theories (CFTs). Besides inheriting all the properties of TDLs in bosonic CFTs, TDLs in fermionic CFTs could host fermionic defect operators at their endpoints and junctions. Furthermore, there is a new type of TDLs, called q-type TDLs, that have no analog in b...
A detailed presentation on topic, Salt affected Soils, Its Distributions, Classification, reclamations and case studies
Networks have provided extremely successful models of data and complex systems. Yet, as combinatorial objects, networks do not have in general intrinsic coordinates and do not typically lie in an ambient space. The process of assigning an embedding space to a network has attracted lots of interest in the past few decades, and has been efficiently a...
In the present paper we continue the project of systematic explicit construction of invariant differential operators. On the example of the non-compact group $$SO(p,9 - p)$$ (for $$p = 5,6$$ ) we give the classification multiplets of indecomposable elementary representations induced from suitable choice of parabolic subgroup $$MAN$$ so that the fac...
In the real world, the data distribution often presents a long tail distribution, and the imbalance of data will lead to the model learning bias to the head class. To address the influence of long tail distribution on image classification, this paper proposes a feature channel interactive long tail image classification model based on dual attention...
The poster focuses on employing Convolutional Neural Networks (CNNs) for the purpose of animal classification. The main goal is to create a deep learning model that can effectively and accurately classify new, unfamiliar images as either cats or dogs. Additionally, the aim is to evaluate the performance and accuracy of the classifier to assess the...
In a hyperspectral image classification (HSIC) task, manually labeling samples requires a lot of manpower and material resources. Therefore, it is of great significance to use small samples to achieve the HSIC task. Recently, convolutional neural networks (CNNs) have shown remarkable performance in HSIC, but they still have some areas for improveme...
Dominance rough set theory is a key mathematical tool for addressing monotonic classification tasks (MCTs). However, current dominance rough set models for feature selection are highly sensitive to noise. Furthermore, in practical applications, conditional feature attributes are often expressed as interval values. The endpoints of these intervals a...
In this paper, we obtain some common best proximity point results for a new class of non-self mappings S, T : A → B called special generalized proximal weak β-quasi contractive. Our results illustrated by an example. Several consequences are derived. 2010 Mathematics subject classification: primary 47H09; secondary 47H10.
In public administration studies, the task of
choosing the type of data that will be required
for a specific research project is of great importance.
The article discusses various classifications
of data used in public administration research. The choice of
the type of data for a particular research project
is based on a variety of considerations....
The study presents a novel algorithm for solving third order non-linear equations (Emden-Fowler type) with multi-singularity, which can be applied to various physical models. The algorithm uses a quintic trigonometric B-spline collocation method and a quasilinearization technique to avoid the non-linearity term in the equation. The study establishe...
Landslide susceptibility mapping is typically based on binary prediction probabilities. However, non-landslide samples in modeling datasets are often unlabeled data, and the phenomenon of class-priori shift, that is, the proportion of landslide samples frequently deviates from real-world scenarios and is spatially heterogeneous. By comparing the cl...
Advances in material sciences, control algorithms, and manufacturing techniques have facilitated rapid progress in soft grippers, propelling their adoption in various fields. In this review article, a comprehensive overview of the design and control aspects of intelligent soft robotic grippers tailored specifically for agricultural product handling...
Nowadays, hate speech detection from Arabic tweets attracts the attention of many researchers. Numerous systems and techniques have been proposed to address this classification challenge. Nonetheless, three major limits persist: the use of deep learning models with an excess of hyperparameters, the reliance on hand-crafted features, and the require...
In this paper, we introduce a new and advanced multi-feature selection method for bacterial classification that uses the salp swarm algorithm (SSA). We improve the SSA’s performance by using opposition-based learning (OBL) and a local search algorithm (LSA). The proposed method has three main stages, which automate the categorization of bacteria ba...
There are many works related to metrics and surfaces of positive and negative curvature. This paper is a survey of results related to locally Euclidean metrics and surfaces with such metrics. There are many problems included in the intersection of geometry, complex analysis, and differential equations that can become a source of new interesting res...
Since the current remote sensing pre-trained models trained on optical images are not as effective when applied to SAR image tasks, it is crucial to create sensor-specific SAR models with generalized feature representations and to demonstrate with evidence the limitations of optical pre-trained models in downstream SAR tasks. The following aspects...
الملخّص
يهدف هذا البحث إلى إجراء دراسة تحليليّة على أعداد الطّلّاب في الجّامعات الخمسمائة الأفضل في العالم، وفقاً لتصنيف شانغهاي الصّيني ARWU، وذلك للعام 2018م، من أجل الوصول إلى معايير يمكن الاستفادة منها في تحديد الأعداد الملائمة من الطّلّاب في الجّامعات، بما يساهم في تحسين جودة مخرجات هذه الجّامعات، وتعزيز موقعها التّنافسي محليّاً وعالميّاً، وتع...
The Totonac branch of the Totonacan (also known as Totonac-Tepehua) family is traditionally broken down into four divisions-Misantla, Northern, Sierra, and Lowland. Misantla is an obvious outlier, but the relationship among the remaining three, which comprise the Central Totonac division, is uncertain due to competing lines of evidence: lexical iso...
The banking sector must confront challenges arising from globalization, the demand for new business models (BMs), increasing regulation, and ever-advancing digitalization. In this context, innovative competitors, namely FinTechs, are challenging banks and forcing them to rethink existing strategies and structures. In particular, the digital transfo...
There are fifty second-order ordinary differential equations of Painlev\'e type in the literature. This paper investigates the Mei symmetries corresponding to the Lagrangian of these equations. This classifies these equations by the admitted Mei symmetries, along with the Mei invariants and their respective gauge functions. The existence of Mei sym...
We investigate whether the impacts of financial development and liberalization on economic growth vary across different stages of development, which remains unaddressed in the literature on the finance-growth nexus. In the analysis, a comparative meta-analysis was performed for studies of advanced, developing, and emerging market economies, using 6...
In this paper, we consider the class of closed convex polyhedra with regular faces in E³ for which the stars of some vertices are symmetric and consist of equal and identically located rhombuses (RR-polyhedra). We obtain a complete classification of RR-polyhedra with two acute-angled rhombic vertices whose stars are separated by a belt of regular f...
Relation extraction tasks aim to predict the type of relationship between two entities from a given text. However, many existing methods fail to fully utilize the semantic information and the probability distribution of the output of pre-trained language models, and existing data augmentation approaches for natural language processing (NLP) may int...
In the present article, the Ricci soliton on Sasakian manifold endowed with quarter-symmetric non-metric connection is investigated. On the Sasakian manifold, we have discussed several curvature properties with given connection. In continuation, we have shown that Ricci solitons on Sasakian manifolds endowed with quarter-symmetric non-metric connec...
Gastric sarcoma is rare, accounting for 1-3% of all gastric neoplasms. WHO has published a new classification of soft tissue tumors and a group of undifferentiated round cell sarcomas, including CIC-rearranged sarcoma has been added. CIC-rearranged sarcoma has not been reported till date. We report a case of CIC-rearranged gastric sarcoma which was...
It is common knowledge that fuzzy topology contributes to developing techniques to address real-life applications in various areas like information systems and optimal choices. The building blocks of fuzzy topology are fuzzy open sets, but other extended families of fuzzy open sets, like fuzzy pre-open sets, can contribute to the growth of fuzzy to...
The main focus of this paper is to analyze the classification of international organizations based on different criteria. The aim is to highlight the uniqueness of the European Union (EU) as a sui generis international organization. The study specifically examines the legal framework of the EU and the process of achieving full membership. The autho...
Quantum correlation is a key resource for a variety of quantum information processing and communication tasks, the efficient utilization of which has been a longstanding concern, and it is also one of the main challenges in the application of quantum technology. In this review, we focus on the interaction between quantum measurements and quantum co...
Aiming at the problems of low-resolution steel surface defects imaging, such as defect type confusion, feature blurring, and low classification accuracy, this paper proposes an autocorrelation semantic enhancement network (ASENet) for the classification of steel surface defects. It mainly consists of a backbone network and an autocorrelation semant...
Lymphoepithelioma-like carcinoma of the skin (LELCS) is a rare primary skin cancer, with an annual incidence of 1/100,000 and about 85 cases published in the literature. It is considered the cutaneous counterpart of undifferentiated nasopharyngeal carcinoma (UNC, Schmincke–Regaud tumor) but has no association with EBV. We present an interesting cas...
Background
In 2019, the Bosniak classification system for cystic renal lesions underwent modifications aimed at addressing the limitations of the original classification.
Results
The revised 2019 version demonstrated notable differences from its predecessor. Specifically, it showed an increased proportion of class IIF cystic lesions (31% compared...
The rapid advancement of AI-based image generation techniques has led to the increasing need for methods to distinguish between real and AI-generated images. In response, this study applies two popular deep learning algorithms namely Residual Networks (ResNets) and Variational Autoencoders (VAEs) to recognize AI-generated synthetic images. The algo...
This paper presents a method for unsupervised classification of entities by a group of agents with unknown domains and levels of expertise. In contrast to the existing methods based on majority voting (“wisdom of the crowd”) and their extensions by expectation-maximization procedures, the suggested method first determines the levels of the agents’...
Over the past two and a half decades, the Angiosperm Phylogeny Group (APG) classification has played a key role in angiosperm systematics, with the latest version being APG IV (2016). However, disagreements over classification methodology raise concerns about the degree of APG’s future influence.This dilemma prompts global plant systematists to con...
Background
Appropriate use of antibiotics is important for the prevention of antimicrobial-resistant organisms. However, prolonged administration of broad-spectrum antimicrobial agents is frequently used in surgery, especially in emergency surgery with infection. The low rate of the appropriate use of antimicrobial agents is regarded as a worldwide...
p>It's important to note that the classification of epileptic seizures can be complex, and an individual may experience more than one type of seizure. Additionally, advancements in understanding epilepsy may lead to refinements in the classification system over time. If someone is experiencing seizures, it's crucial for them to consult with a healt...
The goal of the paper is to study the relationship between asymptotic stability and exponential stability of the solutions of generalized homogeneous nonau-tonomous dynamical systems. This problem is studied and solved within the framework of general non-autonomous (cocycle) dynamical system. The application of our general results for differential...
We use Clifford algebras to construct a unified formalism for studying constant extrinsic curvature immersed surfaces in Riemannian and semi-Riemannian 3-manifolds in terms of immersed bilegendrian surfaces in their unitary bundles. As an application, we provide full classifications of both complete and compact immersed bilegendrian surfaces in the...
Skin Lesion (SL) prediction and segmentation is the trending topic in the medical imaging industry for finding different disease severity. But the un-cleared pixels in the image data might reduce the image features analyzing exactness that has resulted from average or poor segmentation accuracy. Thus the traditional method is not succeeding in this...
In our rapidly evolving world, propelled by technological advancements and societal progress, the pace of life has accelerated significantly. However, this relentless pursuit of speed has also given birth to pressing ecological challenges, with waste accumulation being a conspicuous concern. Despite concerted efforts to promote waste classification...
p>It's important to note that the classification of epileptic seizures can be complex, and an individual may experience more than one type of seizure. Additionally, advancements in understanding epilepsy may lead to refinements in the classification system over time. If someone is experiencing seizures, it's crucial for them to consult with a healt...
Kadınların İşgücüne katılımının artırılması sürdürülebilir ekonomik büyümeyi amaçlayan ülkeler için önemli bir unsurdur. Türkiye’de kadınların işgücüne katılım oranı 2006 yılından beri artmış olmasına ragmen gelişmiş ülkeler ile kıyaslandığında oldukça düşüktür. Literatürde çevrenin kadınların işgücüne katılım oranını etkilediği yönünde genel bir u...
In this paper, we focus on the qualitative analysis of positive solutions for a specific class of static coupled nonlinear Hartree type systems. In the initial step, we convert these equations into integral systems that incorporate the Riesz potentials. Following that, we acquire integrability outcomes and decay characteristics for the integrable s...
In this research article, a search for the most promising working fluids in an energy generation cycle, specifically a Brayton cycle, is conducted. These fluids are selected based on the article's classification which studies them, through the Scopus tool. These fluids are evaluated using calculation tools, where their behavior throughout the cycle...
O2O stores extend offline sales to an online format, providing customers with easy access to information and a co nvenient shopping experience. In this paper, we introduce a chatbot prototype suitable for O2O stores and the data c onstructed for its operation. Our proposed method focuses on analyzing customer queries to discern their intent. Throu...
Denote FB n (Ω) as the collection of operators possessing a flag structure in the Cowen-Douglas class B n (Ω), and all the irreducible homogeneous operators in B n (Ω) belong to this class. G. Misra et al. pointed out in [13] that the unitary invariants of this class of operators include the curvature and the second fundamental form of the correspo...
L'idiomaticité est un élément essentiel de la théorie de la phraséologie. Les phrasèmes de tous types se distinguent par différents traits d'idiomaticité, mais dans le cas des idiomes, cette caractéristique est définitoire. La notion d'idio-maticité a été distinguée de notions voisines telles que « imagé » ou « figuré » dans des travaux précédents....
Prototype theories are an important family of cognitive theories of concepts that model the classification under a concept in terms of the proximity of an object to the prototype of the concept. While logic-based definitions of concepts are standard in Description Logics and OWL, prototype-based definitions are not directly available, although they...
This paper addresses the problem of automated modelling of discrete-event processes from event traces that capture the process behaviour. A novel method for building Petri nets (PN) that include silent transitions is presented. The method discovers workflow nets (WFN), a class of PN, from logs of event traces λ. The proposed approach is based on a...
In this paper, a new class of Sobolev spaces with kernel function satisfying a Lévy-integrability type condition on compact Riemann-ian manifolds is presented. We establish the properties of separability, reflexivity, and completeness. An embedding result is also proved. As an application, we prove the existence of solutions for a nonlocal elliptic...