Results 91 to 100 of about 5,416,756 (285)

Real-time flood forecasting in Amo Chhu using machine learning model and internet of things

Cogent Engineering
The proposed research aims to predict flood events in Amo Chhu river of Bhutan using machine learning and Internet of Things. The Amo Chhu River has been posing threat to the residents along river Amo Chhu, and this research seeks to improve flood ...
Khameis Mohamed Al Abdouli, Ashmita Rai, Gyesa Tenzin, Ugyen Gayleg, Nimesh Chhetri, Anju Chhetri   +5 more
doaj   +1 more source

Boosting Estimation of RBF Neural Networks for Dependent Data [PDF]

This paper develops theoretical results for the estimation of radial basis function neural network specifications, for dependent data, that do not require iterative estimation techniques.
George Kapetanios, Andrew P. Blake
core  

Gradient Boosting Neural Networks

, 2021
Umjetne neuronske mreže izgrađene pomoću algoritma podizanja gradijenta Princip izgradnje ansambala neuronskih mreža pomoću algoritma podizanja gradijenta i usporedba performansi takvih rješenja s postojećim rješenjima gradijentno podignutih stabala ...
Glavinović, Ivan
core  

Estimation of Single-Index Models Based on Boosting Techniques [PDF]

, 2008
In single-index models the link or response function is not considered as fixed. The data determine the form of the unknown link function. In order to obtain a flexible form of the link function we specify the link function as an expansion in basis ...
Leitenstorfer, Florian, Tutz, Gerhard
core   +1 more source

WorMa: An Undulatory Robot With Center of Mass Regulation via Internal Fluid Redistribution for Amphibious Locomotion

Advanced Robotics Research, EarlyView.
WorMa is an amphibious undulatory robot that uses Center of Mass redistribution as the sole terrain adaptation mechanism. This mechanism is based on internal fluid mass redistribution through a pump‐driven latex balloon system that creates three profiles: head‐biased, balanced, and tail‐biased.
Daniil Filimonov, Nana Obayashi
wiley   +1 more source

Application of Nighttime Light Data Simulation Based on Multi-Indicator System and Machine Learning Model in Predicting Potentially Suitable Economic Development Areas: A Case Study of the Turpan–Hami Region

Remote Sensing
In recent years, the accelerated urbanization process in China has led to increased land resource constraints and unregulated expansion, imposing significant pressure on ecosystems and the environment. As a critical node along the Silk Road Economic Belt,
Guangpeng Zhang, Li Zhang, Yiyang Chen, Meng Chen, Jingjing Tian, Yin Wu   +5 more
doaj   +1 more source

Overcoming the Trade‐Off Between Magnetic Coupling and Electrical Insulation in Soft Magnetic Materials via Nanochain Engineering

Advanced Science, EarlyView.
This study employs a nanochain engineering approach combined with an in situ oxidation strategy to fabricate self‐insulating iron‐based magnetic nanochains, addressing the challenge of balancing magnetic coupling and electrical insulation in soft magnetic materials.
Dingrong Zuo, Lichen Liu, Haibo Ke, Rongsheng Bai, Huaping Ding, Jing Zhou, Zhenxiang Cheng, Peng Yu, Weihua Wang   +8 more
wiley   +1 more source

Scalable earthquake magnitude prediction using spatio-temporal data and model versioning

Scientific Reports
Earthquake magnitude prediction is critical for natural calamity prevention and mitigation, significantly reducing casualties and economic losses through timely warnings.
Rahul Singh, Bholanath Roy
doaj   +1 more source

Rab1A Promotes Hepatic Steatosis by Suppressing Mitophagy via the Raf‐1/ERK1/2/PINK1 Signaling Axis

Advanced Science, EarlyView.
Why does fat accumulate in the liver? Our study reveals Rab1A as the molecular switch that silences the cell's mitochondrial cleanup crew. Turning Rab1A off reactivates mitophagy, clears excess fat, and reverses fatty liver disease in mice—offering a promising new therapeutic target for MASLD, a growing global health challenge.
Li Zhang, Jianhua Li, Huilu Zhang, Qi Qin, Yichen Huang, Xiaofan Tian, Chao Sun, Binbin Li, Zhengxin Wang, Xin Zhang   +9 more
wiley   +1 more source

Predictive etiological classification of acute ischemic stroke through interpretable machine learning algorithms: a multicenter, prospective cohort study

BMC Medical Research Methodology
Background The prognosis, recurrence rates, and secondary prevention strategies varied significantly among different subtypes of acute ischemic stroke (AIS).
Siding Chen, Xiaomeng Yang, Hongqiu Gu, Yanzhao Wang, Zhe Xu, Yong Jiang, Yongjun Wang   +6 more
doaj   +1 more source