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2501
Prediction of Linear Cationic Antimicrobial Peptides Active against Gram-Negative and Gram-Positive Bacteria Based on Machine Learning Models
Published 2022-04-01“…Following data exploration and data preprocessing steps, a variety of classification algorithms are used with 100-fold Monte Carlo Cross-Validation to build models and to predict the antimicrobial activity of the peptides. Among the generated models, Random Forest has resulted in the best performance metrics for both Gram-negative dataset (Accuracy: 0.98, Recall: 0.99, Specificity: 0.97, Precision: 0.97, AUC: 0.99, F1: 0.98) and Gram-positive dataset (Accuracy: 0.95, Recall: 0.95, Specificity: 0.95, Precision: 0.90, AUC: 0.97, F1: 0.92) after outlier elimination is applied. …”
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2502
PEMBELAJARAN REMEDIAL TERPADU DENGAN MENERAPKAN MODEL PEMBELAJARAN GENERATIF UNTUK MENGUBAH MISKONSEPSI SISWA TERHADAP KONSEP USAHA DAN ENERGI
Published 2019-12-01“…The result showed that there was a significant effect on remedial learning related to applying generative models to change in students’ conceptions with t hitung > t tabel (16,33 ). …”
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2503
A Hybrid CNN-Based Review Helpfulness Filtering Model for Improving E-Commerce Recommendation Service
Published 2021-09-01“…The user/item recommendation generator models the user’s preference on items based on their past interactions. …”
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2504
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2505
Os hotéis como pólos geradores de viagens
Published 2010-07-01“…In the case of Brazil, the studies of Feitosa (2003) and Goldner et al. (2006) assessing trip patterns and also those of Goldner and Inocencio (2007), who analyzed rates and trip generation models to hotels located in Florianopolis. A comparative analysis among the main models is also carried out, aiming at the verification of the adequacy of ITE models to the Brazilian reality. …”
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2506
CCD-BSMG: Composite-Curve-Dilation-Based Brush Stroke Model Generator for Robotic Chinese Calligraphy
Published 2023-01-01“…Compared with other stroke generative models based on disordered pixels, our generator is based on parameterized brush strokes and provides a better foundation for robotic writing in deep learning or other fields. …”
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2507
Reliability of Cone Bean Weight-Bearing Measurements of the Postoperative Outcome of Total Ankle Arthroplasties and Inter-Method Reliability with Respect to the Weight Bearing x-ra...
Published 2023-12-01“…The purpose of this study was (1) to measure the surgical outcome of TAA using semiautomatic generated models, (2) to evaluate the agreement levels between two raters, and (3) to evaluate the inter-method reliability with respect to WBXR. …”
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2508
ViolenceNet: Dense Multi-Head Self-Attention with Bidirectional Convolutional LSTM for Detecting Violence
Published 2021-07-01“…Finally, to check if the generated model is able to generalize violence, a cross-dataset analysis is performed, which shows the complexity of this approach: using three datasets to train and testing on the remaining one the accuracy drops in the worst case to 70.08% and in the best case to 81.51%, which points to future work oriented towards anomaly detection in new datasets.…”
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2509
Repurposing existing skeletal spatial structure (SkS) system designs using the Field Information Modeling (FIM) framework for generative decision-support in future construction pro...
Published 2023-11-01“…The algorithms were tested and validated on four real-world point cloud datasets to solve two generative modeling problems, namely, engineering design optimization and facility location optimization. …”
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2510
Multispectral Satellite Image Generation Using StyleGAN3
Published 2024-01-01“…Recently, the field of image generation has developed increasingly sophisticated techniques, such as generative neural models, usually known as generative adversarial networks (GANs), to create synthetic images from scratch that appear almost real. Generative models have traditionally been applied to RGB or grayscale images and have been used for generating fake images of faces, animals, or objects. …”
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2511
An influent generator for WRRF design and operation based on a recurrent neural network with multi-objective optimization using a genetic algorithm
Published 2022-03-01“…Hence, the influent generator model is able to generate a time series with a probability distribution that better represents reality, thus giving a better influent description for WRRF design and operation. …”
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2512
Quality Control for Distantly-Supervised Data-to-Text Generation via Meta Learning
Published 2023-04-01“…The evaluation results show that our model can improve the state-of-the-art DSG (abbreviation for Distant Supervision Generation) model across all automatic evaluation metrics, with an improvement of 3.72% on the WITA dataset and 3.82% on the DIST-ToTTo dataset in terms of the widely used metric BLEU (abbreviation for BiLingual Evaluation Understudy). …”
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2513
Automatic Radiology Report Generator Using Transformer With Contrast-Based Image Enhancement
Published 2024-01-01“…This study constructed a medical report generator model using the transformer approach and image enhancement implementation. …”
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2514
Exploring Spatial-Based Position Encoding for Image Captioning
Published 2023-11-01“…In addition, the robustness and plug-and-play ability of the proposed method are validated based on a medical captioning generation model.…”
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2515
A Methodology and an Empirical Analysis to Determine the Most Suitable Synthetic Data Generator
Published 2024-01-01“…To achieve this, we utilize the Synthetic Data Vault, Data Synthesizer, and Smartnoise-synth, which are three synthetic data generation packages that are accessible via Python. Different data generation models available within the package are presented with 13 tabular datasets iteratively as sample inputs to generate synthetic data. …”
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2516
Method for accuracy assessment of topo-bathymetric surface models based on geospatial data recorded by UAV and USV vehicles
Published 2023-10-01“…The conducted study does not clearly indicate any of the methods, as the selection of the method is also affected by the visualization of the generated model. However, having compared the accuracy measures of the charts and models obtained, it was concluded that for this type of data, the kriging (linear model) method was the best. …”
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2517
Pedestrian Trajectory Prediction Based on SOPD-GAN Used for the Trajectory Planning and Motion Control of Mobile Robot
Published 2023-01-01“…Additionally, we incorporate pedestrian historical trajectory information using LSTM, and combine it with SOPD to form the generator model. The training of this model is carried out using a generative adversarial network (GAN), which is referred to as SOPD-GAN. …”
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2518
Smart Core and Surface Temperature Estimation Techniques for Health-Conscious Lithium-Ion Battery Management Systems: A Model-to-Model Comparison
Published 2022-01-01“…Typically, a temperature estimation scheme consists of a heat generation model and a heat transfer model. Several researchers have already proposed ranges of thermal models with different levels of accuracy and complexity. …”
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2519
Spatio-Temporal Hydrological Model Structure and Parametrization Analysis
Published 2021-04-01“…By changing the runoff generation model description, we explore the responses to events. …”
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2520
Deepfake Detection on Social Media: Leveraging Deep Learning and FastText Embeddings for Identifying Machine-Generated Tweets
Published 2023-01-01“…Consequently, text-generative models have become increasingly powerful allowing the adversaries to use these remarkable abilities to boost social bots, allowing them to generate realistic deepfake posts and influence the discourse among the general public. …”
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