Dataset overview
For the purposes of this research, we utilized two distinct dermatological datasets to train and evaluate our model meticulously. By maintaining these datasets separately, we aimed to provide a comprehensive analysis that…
Category: 7. Maths
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Active learning algorithm for alleviating the user cold start problem of recommender systems
This section discusses the main contributions of this paper. First, a detailed description is given of a new AL strategy based on DTs. Next, an overview is presented of the framework that has been used to evaluate the impact AL strategy has on…
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A simple interpolation-based data augmentation method for implicit sentiment identification
Shi, Y., Zhu, L., Li, W., Guo, K. & Zheng, Y. Survey on classic and latest textual sentiment analysis articles and techniques. Int. J. Inf. Technol. Decis. Mak. 18, 1243–1287 (2019).
Google Scholar
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An enhanced deep learning approach for speaker diarization using TitaNet, MarbelNet and time delay network
Figure 1 illustrates the framework of the proposed speaker diarization system, Neuro-TM Diarizer, where TM refers to the integration of two neural models, Tita-Net and Marbel-Net, within the diarization pipeline. The cascaded architecture…
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Simulation of film transmission path based on ant colony optimization algorithm
ACA
(1) Algorithm principle.
ACA, also known as ant algorithm, is a bionic artificial intelligence algorithm that simulates the group foraging behavior of ants in nature. It was proposed in the 1990s and was inspired by the behavior of ants finding…
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Leveraging hybrid model for accurate sentiment analysis of Twitter data
This section presents the experimental results of the proposed model, highlighting its performance compared to state-of-the-art methods. We comprehensively analyze the outcomes and demonstrate why our approach outperforms existing…
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Mathematical approaches for track analysis and process optimization in additive manufacturing
Geometric relationships among the wetting angle, width, and height
Analyzing a solidified single track’s transverse cross-section aims to establish relationships among the track’s width, height, radius, and contact angle. Two distinct…
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MUSeg: A multimodal semantic segmentation dataset for complex underground mine scenes
As shown in Fig. 3, the pipeline of our proposed multimodal semantic segmentation dataset comprises four critical stages: data collection, data filtering, data annotation, and data analysis, ensuring the quality and reliability of the final…
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Inhibitory mechanisms of amentoflavone on amyloid-β peptide aggregation revealed by replica exchange molecular dynamics
Aggregation behavior of the Aβ-trimer system
To assess the convergence of the REMD simulations, we calculated the standard deviations of several key structural parameters over three consecutive time intervals (100–133ns, 133–166 ns and…
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Predicting CO2 adsorption in KOH-activated biochar using advanced machine learning techniques
This segment describes all of the utilized machine learning methods.
Convolutional neural network
CNN is a type of machine-learning models which is used for image processing, such as classification, detecting objects, and segmenting. This approach…
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