[HTML][HTML] Ai in thyroid cancer diagnosis: Techniques, trends, and future directions
Artificial intelligence (AI) has significantly impacted thyroid cancer diagnosis in recent years,
offering advanced tools and methodologies that promise to revolutionize patient outcomes …
offering advanced tools and methodologies that promise to revolutionize patient outcomes …
[HTML][HTML] Prediction of malaria incidence using climate variability and machine learning
Malaria remains a serious obstacle to socio-economic development in Africa. It was
estimated that about 90% of the deaths occurred in Africa, where various factors such as …
estimated that about 90% of the deaths occurred in Africa, where various factors such as …
Fake news detection using machine learning and deep learning algorithms
A Abdulrahman, M Baykara - 2020 international conference on …, 2020 - ieeexplore.ieee.org
Classification of fake news on social media has gained a lot of attention in the last decade
due to the ease of adding fake content through social media sites. In addition, people prefer …
due to the ease of adding fake content through social media sites. In addition, people prefer …
Time series classification based on temporal features
Along with the widespread application of Internet of things technology, time series
classification have been becoming a research hotspot in the field of data mining for massive …
classification have been becoming a research hotspot in the field of data mining for massive …
Machine learning and vision transformers for thyroid carcinoma diagnosis: A review
Y Habchi, H Kheddar, Y Himeur, A Boukabou… - arXiv preprint arXiv …, 2024 - arxiv.org
The growing interest in developing smart diagnostic systems to help medical experts
process extensive data for treating incurable diseases has been notable. In particular, the …
process extensive data for treating incurable diseases has been notable. In particular, the …
Fully convolutional networks with shapelet features for time series classification
In recent years, time series classification methods based on shapelet features have attracted
significant research interest because they are interpretable. Although researchers have …
significant research interest because they are interpretable. Although researchers have …
Model research on forecast of second-hand house price in Chengdu based on XGboost algorithm
Z Peng, Q Huang, Y Han - 2019 IEEE 11th International …, 2019 - ieeexplore.ieee.org
In order to better and more accurately study the housing price of second-hand houses, this
paper analyzed and studied 35417 pieces of data captured by Chengdu HOME LINK …
paper analyzed and studied 35417 pieces of data captured by Chengdu HOME LINK …
Rapid and uninvasive characterization of bananas by hyperspectral imaging with extreme gradient boosting (XGBoost)
W He, H He, F Wang, S Wang, R Li, J Chang… - Analytical Letters, 2022 - Taylor & Francis
Ripe fruit provides essential nutrients for the human body. To fulfill the needs of consumers,
the practice of artificial ripening has become more common. Artificial ripening not only …
the practice of artificial ripening has become more common. Artificial ripening not only …
A link quality prediction method for wireless sensor networks based on XGBoost
Y Feng, L Liu, J Shu - IEEE Access, 2019 - ieeexplore.ieee.org
Link quality is an important factor for nodes selecting communication links in wireless sensor
networks. Effective link quality prediction helps to select high quality links for communication …
networks. Effective link quality prediction helps to select high quality links for communication …
Time-Series Growth Prediction Model Based on U-Net and Machine Learning in Arabidopsis
S Chang, U Lee, MJ Hong, YD Jo, JB Kim - Frontiers in Plant Science, 2021 - frontiersin.org
Yield prediction for crops is essential information for food security. A high-throughput
phenotyping platform (HTPP) generates the data of the complete life cycle of a plant …
phenotyping platform (HTPP) generates the data of the complete life cycle of a plant …