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108 resultados encontrados.

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Optimization strategy for distributed photovoltaic access to distribution networks based on power data
Artículo
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Optimization strategy for distributed photovoltaic access to distribution networks based on power data
Zhihui Tong et al · Springer · 2026 · ISSN 3004-9261
Abstract In rural areas, unreasonable access of distributed photovoltaic (DPV) may pose a significant challenge to the safe operation of the power network. To address this, determining the maximum hosting capacity of net...
LCC LCC:Science (General)Idioma eng
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Patronagem, clientelismo e redes clientelares: a aparente duração alargada de um mesmo conceito na história política brasileira Patronage, clientele, and political networks: the apparent duration of a concept within Brazilian political history
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Patronagem, clientelismo e redes clientelares: a aparente duração alargada de um mesmo conceito na história política brasileira Patronage, clientele, and political networks: the apparent duration of a concept within Brazilian political history
Alexandre Mendes Cunha · Universidade Estadual Paulista Julio de Mesquita Filho · 2006 · ISSN 0101-9074
O texto reflete sobre a reiteração do fenômeno do clientelismo na história política brasileira. Discute-se de forma crítica com a historiografia a aparente duração alargada desse fenômeno desde o período coloni...
LCC LCC:History (General)Idioma eng
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Drought begets drought: self-exciting onsets, spell persistence, and network structure in hydroclimatic extremes
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Drought begets drought: self-exciting onsets, spell persistence, and network structure in hydroclimatic extremes
Mauricio Herrera-Marín et al · IOP Publishing · 2026 · ISSN 2515-7620
Understanding the spatio-temporal structure and persistence of meteorological droughts is critical for climate risk assessment, particularly in regions with pronounced climatic gradients. Here, we present the first appli...
LCC TENDOkVudmlyb25tZW50YWwgc2NpZW5jZXM~; TENDOk1ldGVvcm9sb2d5LiBDbGltYXRvbG9neQ~~Idioma eng
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Efficient Deep Spiking Neural Network for Complex EEG Signals
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Efficient Deep Spiking Neural Network for Complex EEG Signals
Elham Amirizadeh et al · IEEE · 2026 · ISSN 2169-3536
Spiking neural networks (SNNs) offer a biologically inspired, energy-efficient alternative to conventional artificial neural networks (ANNs). However, deep SNNs struggle to process complex EEG signals because their spike...
LCC LCC:Electrical engineering. Electronics. Nuclear engineeringIdioma eng
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Enhancing Imbalanced Data Augmentation: A Comparative Study of GANified-SMOTE and Latent Factor Integration
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Enhancing Imbalanced Data Augmentation: A Comparative Study of GANified-SMOTE and Latent Factor Integration
Rusma Anieza Ruslan et al · MMU Press · 2025 · ISSN 2821-370X
One such serious problem in machine learning (ML) is imbalanced datasets. Minority class samples are usually sparse but hold significant meaning. The model can become biased toward the majority class due to unbalanced cl...
LCC LCC:Electronic computers. Computer science; TENDOkluZm9ybWF0aW9uIHRlY2hub2xvZ3k~Idioma eng
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KGERA: knowledge graph enhanced reasoning architecture for recommendation systems
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KGERA: knowledge graph enhanced reasoning architecture for recommendation systems
Pasupuleti Muniraja et al · Nature Portfolio · 2026 · ISSN 2045-2322
Abstract Collaborative filtering and neural recommendation models have advanced substantially over the past decade, yet they frequently struggle to capture the fine-grained structure of user preferences and the rich, mul...
LCC LCC:Medicine; TENDOlNjaWVuY2U~Idioma eng
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Measuring attention and vigilance in the laboratory vs. online: The split-half reliability of the ANTI-Vea
Artículo
Acceso abierto Artículo CONICET Digital
Measuring attention and vigilance in the laboratory vs. online: The split-half reliability of the ANTI-Vea
Luna, Fernando Gabriel et al · Springer · 2020 · ISSN 1554-351X
Over the past few years, there has been growing interest in using online methods for collecting data from large samples. However, only a few studies have administered online behavioral tasks to assess attention outside t...
Idioma eng
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Split-Spectrum-Based Distributed State Estimation for Nonlinear Systems With Incremental Quadratic Constraints
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Split-Spectrum-Based Distributed State Estimation for Nonlinear Systems With Incremental Quadratic Constraints
Jiabo Weng et al · IEEE · 2026 · ISSN 2169-3536
This paper investigates the distributed state estimation problem for a class of continuous-time nonlinear systems over sensor networks. The nonlinearities considered are assumed to satisfy the Incremental Quadratic Const...
LCC LCC:Electrical engineering. Electronics. Nuclear engineeringIdioma eng
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Transductive Text Classification With Concept Bipartite Graphs and LLM-Assisted Labeling
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Transductive Text Classification With Concept Bipartite Graphs and LLM-Assisted Labeling
Vitor Vasconcelos de Oliveira et al · IEEE · 2026 · ISSN 2169-3536
Graph-based text classification has become an effective paradigm for modeling corpus-level structure, particularly under limited supervision. However, most existing approaches rely on document–word representations...
LCC LCC:Electrical engineering. Electronics. Nuclear engineeringIdioma eng
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Cement Plant Power Demand Prediction Using 1D Convolutional Neural Network Model: A Case Study
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Cement Plant Power Demand Prediction Using 1D Convolutional Neural Network Model: A Case Study
Tawfeeq E. Abdulabbas et al · Mustansiriyah University/College of Engineering · 2026 · ISSN 2520-0917
The management and operation of the power system would be significantly enhanced if accurate prior knowledge of power exchanges were provided, which could provide valuable insights into the system and help predict the re...
LCC LCC:Engineering (General). Civil engineering (General)Idioma ara
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Cross-Platform Bug Localization Strategies: Utilizing Machine Learning for Diverse Software Environment Adaptability
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Cross-Platform Bug Localization Strategies: Utilizing Machine Learning for Diverse Software Environment Adaptability
Waqas Ali et al · Engiscience Publisher · 2024 · ISSN 3007-2875
This paper introduces a novel hybrid machine learning model that combines Long Short-Term Memory (LSTM) networks and SHapley Additive exPlanations (SHAP) to enhance bug localization across multiple software platforms. Th...
LCC LCC:Engineering (General). Civil engineering (General)Idioma eng
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Deep Learning-Based Structural Health Monitoring: A Multi-Scale Neural Network Approach for Real-Time Damage Detection in Composite Materials
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Deep Learning-Based Structural Health Monitoring: A Multi-Scale Neural Network Approach for Real-Time Damage Detection in Composite Materials
Ali Khalid Younis Al-Taie · University of Mosul, College of Education for Pure Science · 2025 · ISSN 1812-125X
For the structural health monitoring of composite materials, data analysis technology must be very sophisticated, capable of detecting fault patterns that are multi-level and complicated. A comprehensive deep learning pa...
LCC TENDOkVkdWNhdGlvbg~~; LCC:Science (General)Idioma eng
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Deep learning paradigms in remote sensing with a comparative evaluation of CNNs and transformers for satellite imagery
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Deep learning paradigms in remote sensing with a comparative evaluation of CNNs and transformers for satellite imagery
Diya Nigam et al · Springer · 2026 · ISSN 3004-9261
Abstract Satellite Image Classification is a process in remote sensing that aims at classifying pixels of satellite imagery into usable information of land use and land cover. This information is not only limited to seve...
LCC LCC:Science (General)Idioma eng
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Enhancing dynamic gesture recognition and human–computer interaction through integrated GCN–transformer architecture with transfer learning
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Enhancing dynamic gesture recognition and human–computer interaction through integrated GCN–transformer architecture with transfer learning
Minna Liu et al · Elsevier · 2026 · ISSN 1110-0168
Dynamic gesture recognition is a core technology for human–computer interaction, yet existing methods face prominent limitations in hand spatial topology modeling, long–short-term temporal feature fusion, and general...
LCC LCC:Engineering (General). Civil engineering (General)Idioma eng
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Performance Evaluation of RSA Variants For Network Security Using SIP
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Performance Evaluation of RSA Variants For Network Security Using SIP
Maan Alfathi et al · University of Mosul, College of Education for Pure Science · 2025 · ISSN 1812-125X
Networks and especially network security, have recently become an area of essential concern in data communication due to the ever-present need for data security. Especially that data is to be exposed to the public and tr...
LCC TENDOkVkdWNhdGlvbg~~; LCC:Science (General)Idioma eng
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Averaging-Based Hybrid Ensemble of DenseNet-121 and ResNet-50 for Computer-Aided Brain Tumour Diagnosis: A Step Towards Early Detection
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Averaging-Based Hybrid Ensemble of DenseNet-121 and ResNet-50 for Computer-Aided Brain Tumour Diagnosis: A Step Towards Early Detection
Laiba Hanif et al · Engiscience Publisher · 2026 · ISSN 3007-2875
One of the deadliest diseases that can affect children and adults is a brain tumour. A brain tumour is the abnormal growth of cells in the brain or near it. Commonly, there are two types of tumours: malignant (cancerous)...
LCC LCC:Engineering (General). Civil engineering (General)Idioma eng
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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...
LCC TENDOkVkdWNhdGlvbg~~; LCC:Science (General)Idioma eng
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A new good point set stepwise shrinkage optimization in machine learning model for fog node performance prediction
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A new good point set stepwise shrinkage optimization in machine learning model for fog node performance prediction
Zhang Bo et al · Nature Portfolio · 2026 · ISSN 2045-2322
Abstract Advances in AI have transformed the traditional Internet of Things (IoT) into smarter, more versatile next-generation devices. Enhanced connectivity among sensors, actuators, and appliances boosts data availabil...
LCC LCC:Medicine; TENDOlNjaWVuY2U~Idioma eng
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A novel framework for automatic scanning radar pointing calibration using the Sun
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A novel framework for automatic scanning radar pointing calibration using the Sun
P. Ockenfuß et al · Copernicus Publications · 2026 · ISSN 1867-1381
A high accuracy of antenna beam pointing is essential for weather and cloud radars in order to precisely locate clouds and precipitation. It is also a critical requirement for estimating the horizontal wind field or retr...
LCC TENDOkVudmlyb25tZW50YWwgZW5naW5lZXJpbmc~; TENDOkVhcnRod29yay4gRm91bmRhdGlvbnM~Idioma eng
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Comprehensive large-scale analyses reveal association between brain structure and cognitive ability during adolescence
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Comprehensive large-scale analyses reveal association between brain structure and cognitive ability during adolescence
Jiadong Yan et al · Nature Portfolio · 2026 · ISSN 2399-3642
Abstract Significant changes occur in brain structure and cognition during adolescence. Investigating their association can provide insight into brain-based cognitive development, yet previous studies are limited by narr...
LCC LCC:Biology (General)Idioma eng
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Connectome-based predictive modelling can predict follow-up craving after abstinence in individuals with opioid use disorders
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Connectome-based predictive modelling can predict follow-up craving after abstinence in individuals with opioid use disorders
Jun Zhang et al · Wiley · 2023 · ISSN 2517-729X
Background Individual differences have been detected in individuals with opioid use disorders (OUD) in rehabilitation following protracted abstinence. Recent studies suggested that prediction models were effective for in...
LCC TENDOlBzeWNoaWF0cnk~Idioma eng
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Data-driven simulation of pedestrian collision avoidance with a nonparametric neural network
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Data-driven simulation of pedestrian collision avoidance with a nonparametric neural network
Martin, Rafael F. et al · RI ITBA · 2020 · ISSN 0925-2312
"Data-driven simulation of pedestrian dynamics is an incipient and promising approach for building reliable microscopic pedestrian models. We propose a methodology based on generalized regression neural networks, which d...
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Effective-medium theory for elastic systems with correlated disorder
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Effective-medium theory for elastic systems with correlated disorder
Jorge M. Escobar-Agudelo et al · American Physical Society · 2026 · ISSN 2643-1564
Effective-medium approaches, such as the coherent potential approximation, are commonly used to describe the rigidity transition of disordered elastic networks. While successful in capturing the universal critical behavi...
LCC TENDOlBoeXNpY3M~Idioma eng
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Fuzzy chance constraint-based task offloading for MEC under uncertainties with joint multi-network collaboration and privacy preservation
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Fuzzy chance constraint-based task offloading for MEC under uncertainties with joint multi-network collaboration and privacy preservation
Xiaomin Jin et al · Springer · 2026 · ISSN 1319-1578
Abstract While multi-access edge computing (MEC) enables flexible task offloading, the inherent dynamism and complexity of real-world environments, accompanied by various uncertainties, exacerbate the challenges in offlo...
LCC LCC:Electronic computers. Computer scienceIdioma eng
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