NODOVOX | Discovery

Landscape Architecture Form and Matter

E-book

Párez Igualada, Javier · Editorial de la Universidad Politécnica de Valencia · 2022 · ISBN 9788413960920

In this book, we address landscape architecture, from composition and construction, from the visual and the tectonic, from form and matter. With this, it is intended to configure a basic manual for the student who delves...

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A Hybrid Intersection Filtering and Recursive Feature Elimination Technique for Efficient Feature Reduction in High Dimensional Datasets

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A Hybrid Intersection Filtering and Recursive Feature Elimination Technique for Efficient Feature Reduction in High Dimensional Datasets

Akhmad Dahlan et al · Ikatan Ahli Informatika Indonesia · 2026 · ISSN 2580-0760

High-dimensional datasets are commonly encountered in real-world machine learning applications and often degrade classification performance due to redundant and irrelevant features. In addition, the presence of excessive...

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A parsimonious model for classifying the traffic state of urban road networks: A two-stage regression approach

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A parsimonious model for classifying the traffic state of urban road networks: A two-stage regression approach

Wei Huang et al · Tsinghua University Press · 2025 · ISSN 2772-4247

An effective method of traffic state classification is crucial for managing urban traffic congestion. Existing methods usually assume a given number of state categories, which is not flexible if real applications are req...

LCC LCC:Transportation engineeringIdioma English

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Artificial intelligence for automatic movement recognition: a network-based approach

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Artificial intelligence for automatic movement recognition: a network-based approach

Emahnuel Troisi Lopez et al · Elsevier · 2026 · ISSN 2590-0056

Automatic movement recognition is often used to support various fields such as clinical, sports, and security. To date, there is a lack of a classification feature that is both interpretable and not movement-specific. Pr...

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Assessment of SAR speckle filters in the context of object-based image analysis

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Assessment of SAR speckle filters in the context of object-based image analysis

Morandeira, Natalia Soledad et al · Taylor & Francis · 2016 · ISSN 2150-704X

The initial step in most object-based classification methodologies is the application of a segmentation algorithm to define objects. In the context of synthetic aperture radar (SAR) image analysis, the presence of speckl...

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Automated detection and segmentation of Weiss ring in fundus photography images using deep learning

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Automated detection and segmentation of Weiss ring in fundus photography images using deep learning

Heesuk Kim et al · Nature Portfolio · 2026 · ISSN 2045-2322

Abstract We developed and evaluated a deep learning system integrating segmentation and classification for automated detection of Weiss rings on fundus photographs (FPs). A U-Net segmenter and two EfficientNet-B0 classif...

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Chemometric tools for the characterisation of honey produced in La Pampa, Argentina, from their elemental content, using inductively coupled plasma optical emission spectrometry (ICP-OES)

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Chemometric tools for the characterisation of honey produced in La Pampa, Argentina, from their elemental content, using inductively coupled plasma optical emission spectrometry (ICP-OES)

Camiña, José Manuel et al · International Bee Research Association · 2008 · ISSN 0021-8839

Thirty two samples of natural honey produced in the province of La Pampa (Argentina) were characterised on the basis of their phosphorous, aluminium, iron, calcium, magnesium and sodium contents. Analytical determination...

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Comparison of clinical, pathological and genomic characteristics between Lynch and non-Lynch patients with MMRd endometrial carcinoma

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Comparison of clinical, pathological and genomic characteristics between Lynch and non-Lynch patients with MMRd endometrial carcinoma

Haixin Mo et al · BMC · 2026 · ISSN 1471-2407

Abstract Background Lynch syndrome (LS) is a common hereditary cancer predisposition syndrome caused by pathogenic germline mutations in MMR genes. This study aimed to conduct LS screening in a South Chinese Endometrial ...

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Data-Centric Deep Learning for Monkeypox Detection: Hyperdatasets Toward Robust and Generalizable Medical AI

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Data-Centric Deep Learning for Monkeypox Detection: Hyperdatasets Toward Robust and Generalizable Medical AI

Anastasios Andreadis et al · IEEE · 2026 · ISSN 2169-3536

In this work, a structured hierarchy of hyperdatasets for Monkeypox image classification is presented, aiming to evaluate the robustness and generalization ability of deep classification models for Mpox detection. A syst...

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Decoding the city's rhythm: a framework for probabilistic separation of work days and rest days human mobility patterns

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Decoding the city's rhythm: a framework for probabilistic separation of work days and rest days human mobility patterns

Pengxiang Su et al · Taylor & Francis Group · 2026 · ISSN 1548-1603

Since the 1938 United States Fair Labor Standards Act, the classification of work days and rest days has become fundamental in urban studies. However, identified distinctive mobility patterns challenge this framework, ex...

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Determination of Nursing Care Needs of Patients Undergoing Major Surgery

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Determination of Nursing Care Needs of Patients Undergoing Major Surgery

Aynur Kaya et al · Association of Nurse Managers · 2026 · ISSN 2149-018X

Aim: The study was planned to determine the nursing care needs of patients undergoing major surgical interventions (bypass, total hip replacement, brain tumor, cystectomy, lung resection-lobectomy, whipple) on the first ...

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Dynamic Job Recommendation by Profiling Undergraduates Academic Performances

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Dynamic Job Recommendation by Profiling Undergraduates Academic Performances

Bao-Ling Foo et al · MMU Press · 2025 · ISSN 2821-370X

Job-seeking tasks are always challenging. Often, job recommendation systems require human intervention in the job-seeking process. Therefore, the study focuses on recommendation of most relevant job sectors and prioritiz...

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Improved Accuracy for Heart Disease Diagnosis Using Machine Learning Techniques

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Improved Accuracy for Heart Disease Diagnosis Using Machine Learning Techniques

Neeraja Joshi et al · MMU Press · 2025 · ISSN 2821-370X

This work primarily focuses on diagnosis of heart disease before explicit visit to the expert doctor. Machine learning based systems have been found useful in medical diagnosis applications because of their ability to le...

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Improving Diagnostic Accuracy on Prescription Text Data Using SMOTE-Optimized SVM

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Improving Diagnostic Accuracy on Prescription Text Data Using SMOTE-Optimized SVM

Linda Perdana Wanti et al · Ikatan Ahli Informatika Indonesia · 2026 · ISSN 2580-0760

Disease classification based on drug prescription data plays a crucial role in helping healthcare professionals understand patient health conditions and supporting clinical decision-making. Drug prescription data actuall...

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Intelligence System for Multi-Language Recognition

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Intelligence System for Multi-Language Recognition

Fawziya Ramo et al · University of Mosul, College of Education for Pure Science · 2022 · ISSN 1812-125X

Language classification systems are used to classify spoken language from a particular phoneme sample and are usually the first step of many spoken language processing tasks, such as automatic speech recognition (ASR) sy...

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Kernel-based dynamic ensemble approach for classifying imbalanced data with overlapping classes

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Kernel-based dynamic ensemble approach for classifying imbalanced data with overlapping classes

Somiya Abokadr et al · Nature Portfolio · 2026 · ISSN 2045-2322

Abstract In many real-world applications, binary and multi-class classification problems involving imbalanced data and overlapping boundaries present a significant challenge for traditional machine learning algorithms. I...

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Local government media resources in the context of communication challenges: typology experience

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Local government media resources in the context of communication challenges: typology experience

M. A. Ermolenko · Derzhavin Tambov State University · 2026 · ISSN 2587-6953

INTRODUCTION. Local government bodies are facing new communication challenges that arise not only from technological processes but also from social ones. These include convergence, engagement and participation, the speed...

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The Impact of Deep Learning in Brain Tumour Analysis

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The Impact of Deep Learning in Brain Tumour Analysis

Sangeeta Giri et al · MMU Press · 2025 · ISSN 2821-370X

The need for early and precise identification of abnormalities has made the detection and classification of brain tumours essential components of medical diagnosis. Because brain tumours are naturally complex and can hav...

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Automatic classifier algorithm selection using optimized meta-features

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Automatic classifier algorithm selection using optimized meta-features

Hidetaka Nambo et al · Society for Science and Technology · 2016 · ISSN 2186-4942

With the arrival of big-data society, methods for classifying real-world problems have attracted much attention for researchers and developers in various fields. In recent years, much effort has been devoted for improvin...

LCC LCC:Technology (General)Idioma English

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Avaliação crítica das nomenclaturas diagnósticas dos exames citopatológicos cervicais utilizadas no Sistema Único de Saúde (SUS) Critical evaluation of the diagnostic nomenclatures of cervical cytopathological exams used in the Brazilian Unified Health System (SUS)

Article

Luciana Silva Aguiar et al · Federação Brasileira das Sociedades de Ginecologia e Obstetrícia · 2011 · ISSN 0100-7203

OBJETIVO: identificar as nomenclaturas diagnósticas dos exames citopatológicos cervicais utilizadas pelos laboratórios que atendem o Sistema Único de Saúde (SUS) e participantes do Monitoramento Externo de Qualidade...

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Canine cavitary effusion: a retrospective study of 304 cases in Brazil

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Canine cavitary effusion: a retrospective study of 304 cases in Brazil

F.H. Alonso et al · Universidade Federal de Minas Gerais, Escola de Veterinária · ISSN 1678-4162

ABSTRACT The objective of this study was to determine the frequency of different categories of specific and general classification in canine cavitary effusions (CE), as well as their association with the underlying etiol...

LCC LCC:Animal cultureIdioma English

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Comparison of Multinomial Naïve Bayes and Bernoulli Naïve Bayes on Sentiment Analysis of Kurikulum Merdeka with Query Expansion Ranking

Article

Comparison of Multinomial Naïve Bayes and Bernoulli Naïve Bayes on Sentiment Analysis of Kurikulum Merdeka with Query Expansion Ranking

Muhammad Yusran et al · Islamic University of Indragiri · 2024 · ISSN 2302-8149

Social media is one of the public services for conveying or obtaining news, opinions and comments on an issue. One of the social media that is in great demand by the people of Indonesia is Twitter. Kurikulum merdeka is o...

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Comparison of k-Nearest Neighbor and Support Vector Machine using Binary Dragonfly Algorithm Optimization

Article

Comparison of k-Nearest Neighbor and Support Vector Machine using Binary Dragonfly Algorithm Optimization

Andi Nugroho et al · Islamic University of Indragiri · 2024 · ISSN 2302-8149

BDA is an adaptation of Dragonfly Algorithm (DA) that optimizes computation for single-objective, discrete, and multi-objective problems. Combining BDA optimization algorithm with KNN and SVM classification algorithms ai...

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Cultura Chinchorro :

Book

Cultura Chinchorro :

Arriaza, Bernardo T · Editorial Universitaria · 2016 · ISBN 9789561124844

"Comprehensive study of 282 examples permits classification, description, and interpretation of mummification techniques and of details of health, diet, technology, settlement, and society between 5000 and 1700 BC. Argue...

Idioma Spanish

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3D scan-based classification of Chinese young female hand morphology

ISSN: 20452322 · Publisher / source: Nature

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A classification model based on G protein-coupled estrogen receptor binding affinity: development and validation

ISSN: 10048456 · Publisher / source: The Editorial Office of Chinese Journal of Food Hygiene

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3D scan-based classification of Chinese young female hand morphology

A classification model based on G protein-coupled estrogen receptor binding affinity: development and validation