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701
A Parallel Support Vector Machine algorithm to identify patterns of pollution in Smart Cities for Metropolitan Zone of Guadalajara
Published 2022-02-01“…Currently, these data are captured by constant monitoring stations, generating a large volume of information representing a challenge for the classification process. This work proposes a model for the automatic execution of a classification algorithm using Support Vector Machine implementing libraries in python for parallel processing. …”
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702
Comparative Analysis of Traditional and Modern NLP Techniques on the CoLA Dataset: From POS Tagging to Large Language Models
Published 2025-01-01“…The task of classifying linguistic acceptability, exemplified by the CoLA (Corpus of Linguistic Acceptability) dataset, poses unique challenges for natural language processing (NLP) models. These challenges include distinguishing between subtle grammatical errors, understanding complex syntactic structures, and detecting semantic inconsistencies, all of which make the task difficult even for human annotators. …”
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703
An NN Framework for Target Number Detection in FMCW Radar Systems via Hankelization: A Low-Dimensional Data Representation Perspective
Published 2025-01-01“…By integrating the mathematical processes of Hankelization and singular value extraction, we can perform input data manipulation for effective target number detection, resulting in constructing an efficient NN framework. …”
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704
Star Identification Algorithm Based on Dynamic Distance Ratio Matching
Published 2024-12-01Get full text
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705
Biosafety Evaluation of a Chimeric Adenoviral Vector in Mini-Pigs: Insights into Immune Tolerance and Gene Therapy Potential
Published 2024-11-01“…In particular, the problem of immunogenicity of viral vectors is the focus of attention. Large animals such as pigs, whose anatomical and physiological characteristics are similar to those of humans, have an advantage in testing vector systems. …”
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706
Presenting the Development of the Beneish Model with Emphasis on Economic Features using Neural Network, Vector Machine, and Random Forest
Published 2022-12-01“…As the business process becomes more complex, financial statement distortion risk increases. …”
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707
Performance Comparison of Support Vector Machine (SVM) and k-Nearest Neighbors (kNN) in Verifying Material Orientation
Published 2025-06-01“…For instance, in the beverage industry, incorrect orientation of materials, such as bottle caps, can lead to failures in the packaging process, resulting in improperly sealed bottles that may compromise product quality and safety. …”
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708
Differential Protection of Main Transformer of Doubly-Fed Wind Farm Based on Current Synthesized Vector Trajectory Characteristics
Published 2025-02-01“…During the fault ride-through process of the doubly-fed wind farms, the short-circuit current provided by the wind farm side exhibits frequency deviation, which leads to errors in the Fourier algorithm based phasor extraction. …”
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709
User Analysis of Info BMKG Application in The Perspective of Human Computer Interaction Using Support Vector Machine Algorithm
Published 2023-06-01“…The results of the sentiment analysis process of testing 3000 review data using the fold = 5 test value in the Support Vector Machine (SVM) method obtained an accuracy of 85.54 % which produces predictions on data testing, namely 1500 positive reviews and 1500 negative reviews 1500 reviews.…”
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710
Multiple Criteria Decision-Making Based on Vector Similarity Measures under the Framework of Dual Hesitant Fuzzy Sets
Published 2020-01-01“…Similarity measures have a great importance in the decision-making process. In order to identify the similarity between the options, many experts have established several types of similarity measures on the basis of vectors and distances. …”
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711
Lithium inventory estimation of battery using incremental capacity analysis, support vector machine, particle swarm optimisation
Published 2024-12-01“…Lithium inventory is an important indicator for assessing the LIB ageing process. Incremental capacity (IC), particle swarm optimisation (PSO) and support vector machine (SVM) are proposed to estimate the LIBs lithium inventory. …”
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712
Research on the Liquor Yield Prediction Model Integrating Hybrid Kernel Support Vector Regression and Dung Beetle Optimizer
Published 2024-01-01“…To enhance the efficiency of liquor production and reduce subjective errors caused by manual operations, this study explores the relationship between production process parameters and yield to achieve accurate yield prediction. …”
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713
An experience of scaling and intensifying the industrial production of the Gam-COVID-Vac vector adenovirus vaccine in the limiting conditions of the pandemic
Published 2022-12-01“…Gamaleya developed an innovative vector vaccine, Gam-COVID-Vaс, for the prevention of coronavirus disease caused by the SARS-CoV-2 virus. …”
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714
A lyophilised formulation of chimpanzee adenovirus vector for long-term stability outside the deep-freeze cold chain
Published 2025-01-01“…Its formulation process is amenable to manufacturing scale-up and should help in providing adenovirus-based vaccines where the cold chain is problematic, such as in low-income countries, and in pre-epidemic stockpiling.…”
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715
Enhancing Structural Health Monitoring of Super-Tall Buildings Using Support Vector Machines, MEMD, and Wavelet Transform
Published 2025-01-01“…By integrating these techniques, engineers are enabled to process large-scale data effectively, detect damage promptly, and make informed decisions to support civil infrastructure management practices.…”
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716
DVF-NET: Bi-Temporal Remote Sensing Image Registration Network Based on Displacement Vector Field Fusion
Published 2025-02-01“…DVF-NET integrates two displacement vector fields to address nonlinear distortions caused by significant variations between images, enabling more precise image alignment. …”
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717
Calculation of the Electrostatic Field in Non-Homogeneous Structures
Published 2020-03-01Get full text
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718
64QAM Vector Radio-Frequency Signal Generation Based on Phase Precoding and Optical Carrier Suppression Modulation
Published 2016-01-01“…The digital filter based on blind Decision-Directed Least-Mean-Squares (DD-LMS) algorithm is the key digital-signal-processing, which is used to improve system performance. …”
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719
Identifying Barong Tagalog Textile Using Convolutional Neural Network and Support Vector Machine with Structural Pattern Segmentation
Published 2025-04-01“…By combining CNN V1 and SVM V2, the textile analysis using image processing was conducted precisely to identify Barong Tagalog textiles.…”
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720