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78 resultados encontrados.

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The use of ants algorithm in the detection and classification of intrusion in computer networks
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The use of ants algorithm in the detection and classification of intrusion in computer networks
Najlaa Ibraheem et al · University of Mosul, College of Education for Pure Science · 2018 · ISSN 1812-125X
The widespread development of using networks and relying on it and the emergence of many challenges faced by so many institutes like ministry of defense, intelligence agencies , banks, universitie...etc which depend heav...
LCC TENDOkVkdWNhdGlvbg~~; LCC:Science (General)Idioma eng
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What are Hard Samples for Gait Emotion Recognition?
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What are Hard Samples for Gait Emotion Recognition?
Thifany Ketuli Silva de Souza et al · Brazilian Computer Society · 2026 · ISSN 2763-7719
Emotion recognition is a relevant capability for understanding human behavior, enabling interactive systems to support natural interaction with their users. Among the diverse ways the literature tackles this task, gait e...
LCC LCC:Computer software; TENDOkNvbXB1dGVyIGVuZ2luZWVyaW5nLiBDb21wdXRlciBoYXJkd2FyZQ~~Idioma eng
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A Hybrid Deep Learning VGG-16 Based SVM Model for Vehicle Type Classification
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A Hybrid Deep Learning VGG-16 Based SVM Model for Vehicle Type Classification
Muhammad Imran et al · MMU Press · 2025 · ISSN 2821-370X
Car classification is important in daily life because there are many distinct types of automobiles made by various manufacturers. Although there are numerous methods for classifying autos, machine learning technologies h...
LCC LCC:Electronic computers. Computer science; TENDOkluZm9ybWF0aW9uIHRlY2hub2xvZ3k~Idioma eng
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A bootstrap-assisted methodology for the estimation of prediction uncertainty in multilayer perceptron-based calibration
Artículo
Material complementario disponible Artículo CONICET Digital
A bootstrap-assisted methodology for the estimation of prediction uncertainty in multilayer perceptron-based calibration
Chiappini, Fabricio Alejandro et al · Elsevier Science · 2025 · ISSN 0003-2670
Background: In calibration, analytical figures of merit (AFOMs) are statistical parameters of great importance for method validation. In recent decades, relevant contributions have been made to estimate AFOMs in many cal...
Idioma eng
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A deep learning architecture for analyzing and predicting customer churn data in e-commerce
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A deep learning architecture for analyzing and predicting customer churn data in e-commerce
Mohammed Majid Msallam et al · PeerJ Inc · 2026 · ISSN 2376-5992
E-commerce companies face fierce competition. For e-commerce companies to succeed, they must keep and attract customers by offering them the best affordable services. Taking appropriate and timely actions to keep custome...
LCC LCC:Electronic computers. Computer scienceIdioma eng
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A hybrid prophet-based framework for multimodal forecasting with market sentiment signals
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A hybrid prophet-based framework for multimodal forecasting with market sentiment signals
Rihab Najem et al · Springer · 2026 · ISSN 2731-0809
Abstract Financial time series forecasting is traditionally based on historical price patterns, often overlooking exogenous and behavioral variables that can significantly affect market movements. In this study, we enhan...
LCC TENDOkNvbXB1dGF0aW9uYWwgbGluZ3Vpc3RpY3MuIE5hdHVyYWwgbGFuZ3VhZ2UgcHJvY2Vzc2luZw~~; LCC:Electronic computers. Computer sciIdioma eng
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Advanced in Islanding Detection and Fault Classification for Grid-Connected Distributed Generation using Deep Learning Neural Network
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Advanced in Islanding Detection and Fault Classification for Grid-Connected Distributed Generation using Deep Learning Neural Network
Rusvaira Qatrunnada et al · Department of Electrical Engineering, Faculty of Engineering, Universitas Khairun · 2025 · ISSN 2354-8924
Nowadays, the use of renewable energy is increasing, especially distributed power generation (DG) connected to the power grid. There are several problems when DG is connected to the grid. The principal obstacle pertains ...
LCC LCC:Electrical engineering. Electronics. Nuclear engineeringIdioma eng
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An image processing pipeline to segment iris for unconstrained cow identification system
Artículo
Material complementario disponible Artículo CONICET Digital
An image processing pipeline to segment iris for unconstrained cow identification system
Larregui, Juan Ignacio et al · De Gruyter · 2019 · ISSN 2299-1093
One of the most evident costs in cow farming is the identification of the animals. Classic identification processes are labour-intensive, prone to human errors and invasive for the animal. An automated alternative is an ...
Idioma eng
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Anatomically constrained volumetric smoothing enhances fMRI reliability while avoiding smoothing artifacts
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Anatomically constrained volumetric smoothing enhances fMRI reliability while avoiding smoothing artifacts
David G. Ellis et al · Frontiers Media S.A · 2026 · ISSN 2813-1193
IntroductionSmoothing fMRI data prior to analysis is a fundamental and widely used technique to increase sensitivity. Unconstrained smoothing can also reduce the spatial specificity of the analysis by introducing artifac...
LCC LCC:Neurology. Diseases of the nervous systemIdioma eng
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Anonymization and visualization of health data and biomarkers
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Anonymization and visualization of health data and biomarkers
Minh H. Vu et al · Nature Portfolio · 2026 · ISSN 2398-6352
Abstract Access to large, diverse biomedical datasets is critical for advancing medical research, yet privacy regulations severely restrict data sharing. We present an end-to-end framework for privacy-preserving health d...
LCC TENDOkNvbXB1dGVyIGFwcGxpY2F0aW9ucyB0byBtZWRpY2luZS4gTWVkaWNhbCBpbmZvcm1hdGljcw~~Idioma eng
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Artificial intelligence-based prediction of fetal hypoxia: a multicenter model development and nationwide AI-human comparison
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Artificial intelligence-based prediction of fetal hypoxia: a multicenter model development and nationwide AI-human comparison
Suiwen Lin et al · BMC · 2026 · ISSN 1741-7015
Abstract Background Fetal hypoxia is a leading cause of neonatal morbidity and mortality. Cardiotocography (CTG) is widely used to predict fetal hypoxia during labor, but its interpretation remains suboptimal. Artificial...
LCC LCC:MedicineIdioma eng
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Automatic Bone Surface Restoration for Markerless Computer-Assisted Orthopaedic Surgery
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Automatic Bone Surface Restoration for Markerless Computer-Assisted Orthopaedic Surgery
Xue Hu et al · KeAi Communications Co., Ltd · 2022 · ISSN 1000-9345
Abstract An automatic markerless knee tracking and registration algorithm has been proposed in the literature to avoid the marker insertion required by conventional computer-assisted knee surgery, resulting in a shorter ...
LCC LCC:Ocean engineering; TENDOk1lY2hhbmljYWwgZW5naW5lZXJpbmcgYW5kIG1hY2hpbmVyeQ~~Idioma eng
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Bioinformatics analysis implicates ferroptosis and key hub genes in the pathogenesis of endometriosis
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Bioinformatics analysis implicates ferroptosis and key hub genes in the pathogenesis of endometriosis
Jia-yan Xu et al · Taylor & Francis Group · 2026 · ISSN 0144-3615
Objective Endometriosis (EMs) is a chronic gynaecological condition characterised by the ectopic growth of endometrial tissue; however, its molecular mechanisms remain insufficiently understood. Ferroptosis, an iron-depe...
LCC TENDOkd5bmVjb2xvZ3kgYW5kIG9ic3RldHJpY3M~Idioma eng
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Bulk viscous cosmological models with a cosmological constant: Observational constraints
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Bulk viscous cosmological models with a cosmological constant: Observational constraints
Noemí Villalobos R. et al · EDP Sciences · 2026 · ISSN 0004-6361
Aims. We investigate whether viscous cold dark matter (vCDM) in a Λ-dominated Friedmann-Lemaître-Robertson-Walker (FLRW) universe can alleviate the Hubble tension, while satisfying thermodynamic constraints. Here, we e...
LCC TENDOkFzdHJvbm9teQ~~Idioma eng
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Comparison of k-Nearest Neighbor and Support Vector Machine using Binary Dragonfly Algorithm Optimization
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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...
LCC TENDOlRlY2hub2xvZ3k~; TENDOkluZm9ybWF0aW9uIHRlY2hub2xvZ3k~Idioma ind
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Comparison of supervised machine learning and variable selection methods for body weight prediction of growth pigs using image processing data
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Comparison of supervised machine learning and variable selection methods for body weight prediction of growth pigs using image processing data
Eula Regina Carrara et al · Sociedade Brasileira de Zootecnia · 2024 · ISSN 1806-9290
ABSTRACT This research aimed to compare statistical methods (random forest, RIDGE, LASSO, and elastic net regression) for the prediction of body weight in purebred and crossbred pigs reared in Brazil. This prediction was...
LCC LCC:Animal cultureIdioma eng
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Comprehensive compilation and quality assessment of street-level urban air temperature measurements across European networks
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Comprehensive compilation and quality assessment of street-level urban air temperature measurements across European networks
Setareh Amini et al · Nature Portfolio · 2026 · ISSN 2052-4463
Abstract This study provides a comprehensive dataset (FAIRUrbTemp) that addresses the lack of high-resolution urban air temperature data across Europe. It compiles sub-hourly street-level air temperature data from 811 lo...
LCC TENDOlNjaWVuY2U~Idioma eng
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Data fusion and machine learning for ship fuel efficiency modeling: Part II – Voyage report data, AIS data and meteorological data
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Data fusion and machine learning for ship fuel efficiency modeling: Part II – Voyage report data, AIS data and meteorological data
Yuquan Du et al · Tsinghua University Press · 2022 · ISSN 2772-4247
When voyage report data is utilized as the main data source for ship fuel efficiency analysis, its information on weather and sea conditions is often regarded as unreliable. To solve this issue, this study approaches AIS...
LCC LCC:Transportation engineeringIdioma eng
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Delineating novel diagnostic biomarkers and therapeutic targets for oral submucosal fibrosis: an integrative multi-omics and machine learning approach
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Delineating novel diagnostic biomarkers and therapeutic targets for oral submucosal fibrosis: an integrative multi-omics and machine learning approach
Chinmay Nitin Mokal et al · Frontiers Media S.A · 2026 · ISSN 2673-7647
BackgroundOral submucosal fibrosis (OSF) is a chronic and progressive disorder, caused by chewing areca nuts, affecting the oral cavity and oropharynx. OSF is characterized by severe symptoms like severe burning sensatio...
LCC TENDOkNvbXB1dGVyIGFwcGxpY2F0aW9ucyB0byBtZWRpY2luZS4gTWVkaWNhbCBpbmZvcm1hdGljcw~~Idioma eng
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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...
LCC LCC:Electronic computers. Computer science; TENDOkluZm9ybWF0aW9uIHRlY2hub2xvZ3k~Idioma eng
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Electron Velocity Moments in the Solar Wind. I. Calibration of the Wind 3DP EESA Low Detector
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Electron Velocity Moments in the Solar Wind. I. Calibration of the Wind 3DP EESA Low Detector
Lynn B. Wilson III et al · IOP Publishing · 2026 · ISSN 0067-0049
Calibrated measurements of electron velocity distribution functions (VDFs) are necessary to characterize fluid and kinetic processes in weakly collisional and nearly collisionless plasmas such as the solar wind. Therefor...
LCC TENDOkFzdHJvcGh5c2ljcw~~Idioma eng
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Enhancing Quranic Recitation Accuracy Using State-of-the-Art Audio Classification Techniques
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Enhancing Quranic Recitation Accuracy Using State-of-the-Art Audio Classification Techniques
Hanaa Mohammed Osman et al · Department of Electrical Engineering, Faculty of Engineering, Universitas Khairun · 2025 · ISSN 2354-8924
- In this study, we investigate the potential of using state-of-the-art neural network architectures to increase the accuracy in classification of Quranic recitations per verse. Using a dataset of more than 4000 audio re...
LCC LCC:Electrical engineering. Electronics. Nuclear engineeringIdioma eng
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Estimação da digestibilidade do extrato etéreo em ruminantes a partir dos teores dietéticos: desenvolvimento de um modelo para condições brasileiras Estimation of ether extract digestibility in diets of ruminants: a model under Brazilian conditions
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Estimação da digestibilidade do extrato etéreo em ruminantes a partir dos teores dietéticos: desenvolvimento de um modelo para condições brasileiras Estimation of ether extract digestibility in diets of ruminants: a model under Brazilian conditions
Edenio Detmann et al · Sociedade Brasileira de Zootecnia · 2006 · ISSN 1516-3598
Objetivou-se neste estudo propor e validar um modelo para estimação da fração aparentemente digestível do EE a partir dos teores dietéticos em bovinos. As bases teóricas para o desenvolvimento do modelo fundamenta...
LCC LCC:Animal cultureIdioma eng
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GDW-YOLO-based internal discharge spectral waveform recognition in GIS
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GDW-YOLO-based internal discharge spectral waveform recognition in GIS
Weiping Fu et al · SpringerOpen · 2026 · ISSN 1110-1903
Abstract GIS (Gas-insulated switchgear) is a critical component of modern power grids, and accurate awareness of its internal insulation condition is essential to power system safety. PD (Partial Discharge) is a key indi...
LCC LCC:Engineering (General). Civil engineering (General)Idioma eng
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