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An integrated deep learning framework using adaptive enhanced vision fusion and modified mobilenet architecture for precision classification of skin diseases with enhanced diagnost...
Published 2025-10-01“…This research leverages a diverse dataset and robust image processing techniques to enhance diagnostic accuracy under such demanding conditions. …”
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Prediction and optimization of surface quality and material removal rate in wire-EDM cutting of tungsten–copper alloy (W70Cu30)
Published 2025-01-01“…Predictive modeling was conducted using Support Vector Regression (SVR) and gradient-boosted regression Trees (GBRT) to assess the accuracy of MRR and Ra predictions. …”
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1203
Synthesis of the Spatial Arrangement of Magnetic Field Sensors for Active Magnetic Field Shielding Systems of Overhead Power Lines
Published 2024-02-01“…A synthesis of the spatial location and angular position of magnetic field sensors is created to solve a minimax vector optimization problem in which the vector objective function is calculated based on the Biot-Savart’s law. …”
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Diagnosis model for action problems of table tennis beginners based on improved DTW algorithm
Published 2025-12-01“…First, the data is pre-processed. Then, missing data is filled in using segmented cubic spline interpolation. …”
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Multi-label text classification via secondary use of large clinical real-world data sets
Published 2024-11-01“…However, recent advances in natural language processing offer a promising avenue for developing applications that assist clinicians, thereby alleviating their administrative burdens. …”
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Pulse‐level work state recognition of multifunction radar based on MC‐RSG
Published 2024-11-01Get full text
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Detection and Spatiotemporal Distribution Analysis of Vertically Developing Convective Clouds over the Tibetan Plateau and East Asia Using GEO-KOMPSAT-2A Observations
Published 2025-04-01“…The detection and statistical studies of VDCCs offer new insights into convective processes over the TP and surrounding regions, offering potential improvements in severe weather monitoring and early warning systems.…”
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Opinion mining using ensemble model for restaurant feedback analysis
Published 2025-06-01“…Abstract The research work introduces a new method for sentiment analysis in the context of restaurant evaluations, emphasizing the optimization of the trade-off between processing time and accuracy. A majority voting classifier is used in our research to evaluate and merge multiple machine learning models, such as Decision Tree, Support Vector Machine, Random Forest, Logistic Regression, K-Nearest Neighbors, Multinomial Naive Bayes, and an Ensemble Method. …”
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Multi-behavioral job recommendation integrating knowledge graph
Published 2025-06-01“…To improve the accuracy of job recommendations,a multi-behavioral job recommendation integrating knowledge graph (MB-JRIKG) was proposed based on the implicit preference information of both job seekers and recruiters in the process of "browsing job positions → submitting resumes → receiving feedback from recruiters". …”
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Recognition of Acoustic Signals of Loaded Synchronous Motor Using FFT, MSAF-5 and LSVM
Published 2015-04-01Get full text
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A Comparative Analysis of Machine Learning Models in News Categorization
Published 2024-07-01Get full text
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Slovene and Croatian word embeddings in terms of gender occupational analogies
Published 2021-07-01Get full text
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Classification of Russian Texts by Genres Based on Modern Embeddings and Rhythm
Published 2022-12-01Get full text
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Variation Approach and Principle of Maximum in Theory of Dynamic Systems
Published 2023-09-01“…The use of the sensitivity theory for tasks of optimal management of non-linear systems was studied, illustrated by estimating the vector of unknown parameters of dynamic system. The authors analyze the condition in tasks of economic modeling with regard to uncertainty caused by social and psychological reasons. …”
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Kinetic Theory and Markov Chains with Stochastically Varying Transition Matrices
Published 2025-06-01“…In other words, it describes the evolution of the system as a stochastic process. In a previous paper, we pointed out that such a process can be described in turn in terms of a special kind of vector time-continuous Markov Chain. …”
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Emotion on the edge: An evaluation of feature representations and machine learning models
Published 2025-03-01Get full text
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Design of hybrid machine learning and TF-IDF models to discard irrelevant reviews on public transport stations
Published 2025-03-01“…To achieve this, we apply Natural Language Processing (NLP) techniques to numerically represent words and phrases, and artificial intelligence models to classify the text once it is numerically represented. …”
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