Results 71 to 80 of about 95,729 (269)

MODELLING OVERDISPERSED SEED GERMINATION DATA: XGBOOST'S PERFORMANCE

The Journal of Animal and Plant Sciences, 2023
Depending on the extent of variability in germination count data, the problem of overdispersion arises. This problem causes significant problems in estimation. In this study, gradient boosting algorithms are used as a new approach to support precision agriculture applications in estimating overdispersed germination counts.
Ser, Gazel, Bati, Cafer Tayyar
openaire   +2 more sources

Hierarchical Channeled Graphitized Nanoarchitecture as a Diagnostic Platform for Maternal Fever Warning

Advanced Science, EarlyView.
This study presents a hierarchically channeled graphitized nanoarchitecture (HPGC‐Z67) as a novel nano‐diagnostic platform. It enables sensitive and efficient N‐glycan extraction from plasma, significantly reducing processing time and cost. The platform identifies pivotal N‐glycans to accurately differentiate between infectious and non‐infectious ...
Yiwen Lin, Ning Li, Heyuhan Zhang, Xufang Hu, Zhiqiang Liu, Chunhui Deng   +5 more
wiley   +1 more source

Previsión del consumo eléctrico en el cantón Salcedo mediante técnicas de aprendizaje automático

Revista Odigos
En respuesta al crecimiento de la demanda de energía eléctrica, este estudio se centra en la eficiente previsión del consumo eléctrico en el cantón Salcedo, Ecuador.
Oscar Fabricio Chicaiza Yugcha, Carlos Julio Martínez Guaman, Israel Antonio Orozco Manobanda, Ángel Danilo Arellano Castro   +3 more
doaj   +1 more source

Using Big Data to Enhance the Bosch Production Line Performance: A Kaggle Challenge

, 2016
This paper describes our approach to the Bosch production line performance challenge run by Kaggle.com. Maximizing the production yield is at the heart of the manufacturing industry.
Kumar, Nishant, Mangal, Ankita
core   +1 more source

Predicting stellar rotation periods using XGBoost

Astronomy & Astrophysics
Context. The estimation of rotation periods of stars is a key challenge in stellar astrophysics. Given the large amount of data available from ground-based and space-based telescopes, there is a growing interest in finding reliable methods to quickly and automatically estimate stellar rotation periods with a high level of accuracy and precision.
Gomes, Nuno R. C., Del Sordo, Fabio, Torgo, Luís   +2 more
openaire   +3 more sources

Loss of VMP1 Impairs Tight Junction Recycling and Aggravates Intestinal Barrier Dysfunction in Inflammatory Bowel Disease

Advanced Science, EarlyView.
This study identifies vacuole membrane protein 1 (VMP1) as a critical regulator of intestinal epithelial barrier homeostasis. VMP1 facilitates the recruitment of CORO1C to late endosomes, supporting Retromer‐mediated recycling of the tight junction protein Occludin.
Jiawei Zhao, Jianjun Zou, Chen Zhou, Yingui Wang, Yiman Liu, Yanqing Zhou, Yuxiang Wang, Xinyu Zhang, Huishu Yang, Hongjie Yin, Dongsheng Bai, Yue Zhao, Na Lu   +12 more
wiley   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

Hybrid ensemble model for lactation milk yield prediction of holstein cows [PDF]

Kafkas Universitesi Veteriner Fakültesi Dergisi
Machine learning (ML) algorithms are widely employed across various domains to identify patterns and relationships in large datasets, and to perform tasks such as prediction and classification.
Derviş TOPUZ, Selçuk TEKGÖZ
doaj   +1 more source

Ensemble learning of model hyperparameters and spatiotemporal data for calibration of low-cost PM2.5 sensors. [PDF]

, 2019
he PM2.5 air quality index (AQI) measurements from government-built supersites are accurate but cannot provide a dense coverage of monitoring areas. Low-cost PM2.5 sensors can be used to deploy a fine-grained internet-of-things (IoT) as a complement to ...
Bhanu, Bir, Day, Rong-Fuh, Tsai, Chih-Chun, Tung, Ching-Ying, Yin, Peng-Yeng   +4 more
core  

Lattice Genome Framework for Regionally Tailored Component‐Level Multi‐Objective Design in Additive Manufacturing

Advanced Science, EarlyView.
A Lattice Genome framework links geometric and process “genes” to lattice “phenotypes” via correction‐calibrated high‐throughput simulations and a growing performance database. Genome‐driven retrieval and recombination of unit cells enables component‐level, regionally tailored multi‐objective design: stress fields are programmed under constant relative
Haoyuan Deng, Yufan Zhao, Mingyang Cao, Haiou Yang, Pan Wang, Hongze Wang, Hao Wang, Akihiko Chiba, Xin Lin   +8 more
wiley   +1 more source