Titlebook: Data Science and Artificial Intelligence; First International Chutiporn Anutariya,Marcello M. Bonsangue Conference proceedings 2023 The Ed

Prostaglandins

Small Footprint JavaScript Engine the grain quality. In identifying rice seeds, there are also some difficulties in separating components such as branches and spikes. The study uses a dataset of images of rice branches with differences in shape, state, and size. After the pre-processing steps, the obtained data has images of relati

B-cell

Gabriel Mujica,Jorge Portilla,Teresa Riesgo2.5 gene is a key transcription factor that regulates cardiomyocyte differentiation. A human embryonic stem cell (hESC) reporter line with NKX2.5 in GFP signal allows us to monitor the specificity and efficiency of human cardiac differentiation. We intend to develop an automatic analysis pipeline fo

刺激

Components and Services for IoT Platformsng price. Typically, a pineapple’s sweetness is determined manually, which is time-consuming and prone to human error, resulting in a lower selling price and pineapple waste due to unsold fruit. To address this issue, we developed a deep learning-based algorithm for identifying the sweetness of pine

浮夸

Cultivate

Paradox

Conference proceedings 2023 full papers and the 4 short papers included in this volume were carefully reviewed and selected from 70 submissions. This volume focuses on ideas, methodologies, and cutting-edge research that can drive progress and foster interdisciplinary collaboration in the fields of data science and artificial

SSRIS

Unable to Intubate the Left Coronary Systemrtificial and real-life datasets, for example, Double Moon, Concentric Circle, No Structure and UCI datasets, are used to test the effectiveness of our homemade implementation strategies. The experimental results showed that the implemented algorithm has significant accuracy improvement and reliability.

制定

Maria Angela Cerruto,Alessandra Masinthod outperformed other methods in terms of classification accuracy by 17.49%. The Kullback-Leibler (KL) divergence is used for assessing the similarity between the training set (with and without augmentation) and validation set, thus showing the effectiveness of the diffusion approach compared to other techniques.

Influx

Maria Angela Cerruto,Alessandra Masin2vec from Thai2Fit and English-Thai machine translation models proposed by VISTEC. Based on the augmented messages, a Deep Learning technique, BiLSTM, is used to construct a chatbot classification model. The experimental obtained results demonstrate that data augmentation can help to increase the classification performance.

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