Results 121 to 130 of about 5,787,304 (258)

Rekomendasi Pemilihan Jenis Tanaman Menggunakan Algoritma Random Forest dan XGBoost Regressor

Computer Science
Rekomendasi tanaman yang sesuai dengan kondisi lingkungan dan nutrisi tanah tempat tanaman ditanam dapat memberikan hasil panen yang optimal. Penerapan machine learning pada bidang pertanian telah banyak dilakukan terutama untuk meningkatkan hasil panen.
Abdul Rahman, Daniel Udjulawa, Mulyati Mulyati   +2 more
doaj   +1 more source

Global Burden and Temporal Trends of Early‐Onset Tracheal, Bronchial, and Lung Cancer: An Analysis of GLOBOCAN 2022 and GBD 2023 Data

Advanced Science, EarlyView.
This study systematically assessed the global burden and temporal trends of EOTBL cancer in individuals aged 15–49 years. Smoking, ambient particulate matter pollution, and secondhand smoke remain dominant risk factors. Countries within the same Human Development Index (HDI) category exhibit distinct epidemiological trajectories, underscoring the need ...
Ye Tian, Weihao Zhang, Yao Lu, Bruce F. O'Hara, Jingjing Hu, Hanqi Feng, Jing Di, Lei Zhang, Xueying Yang   +8 more
wiley   +1 more source

An Error Assessment of the Kriging Based Approximation Model Using a Mean Square Error

, 2006
A Kriging model is a sort of approximation model and used as a deterministic model of a computationally expensive analysis or simulation. Although it has various advantages, it is difficult to assess the accuracy of the approximated model.
정도현, 이병채, 주병현, 조태민   +3 more
core   +1 more source

Predicting Enzyme Turnover Numbers and Enabling Rational Enzyme Evolution

Advanced Science, EarlyView.
MCKcat, a deep learning framework combining multi‐scale convolution and cross‐attention, accurately predicts enzyme turnover number (kcat) by fusing sequence and reaction representations. It couples with rational design in a two‐step strategy for Bacillus aryabhattai laccase engineering, achieving a 75% positive rate with synergistically enhanced ...
Fengya Ge, Xiangyang Ma, Jiyan Li, Mengxiang Wang, Fuping Lu, Yihan Liu, Lin Wang   +6 more
wiley   +1 more source

The steady-state mean-square error analysis for least mean p-order algorithm

, 2009
Based on series expansion, the steady-state mean-square error (MSE) analysis for real and complex least mean p-order (LMP) algorithm is developed, and some closed-form analytical expressions for the steady-state MSE and the corresponding restrictive ...
Wang, X, He, R, Lin, B, Wang, B
core   +1 more source

A Bio‐Inspired Visual Sensor With UV‐to‐NIR Fusion for Enhanced Recognition in Autonomous Driving Systems

Advanced Science, EarlyView.
Inspired by the sophisticated multilayer retinal architecture found in Pacific salmon eyes, a novel van der Waals heterojunction sensor based on NbNiTe5/BP is designed. Upon illumination at distinct wavelengths of 365 and 820 nm, the device exhibits distinctive bipolar photocurrent responses with opposite polarities. This unique optoelectronic behavior
Tianle Zeng, Zishen Zhao, Keqin Tang, Yawen Luo, Junxin Yan, Kun Ye, Jinlu Liu, Zhuo Dong, Zhipeng Yu, Weiming Lv, Ruicheng Li, Yenasheng Li, Lixuan Liu, Tianyu Xue, Chun Zhao, Yan Zhou, Kai Zhang, Zhongming Zeng, Zhongyuan Liu   +18 more
wiley   +1 more source

Machine Learning‐Assisted Design and Performance Prediction of a Compact Dual‐Band Polarization‐Insensitive THz Metamaterial Absorber for Skin‐Cancer‐Related Refractive‐Index Sensing

Advanced Electronic Materials, EarlyView.
A compact QASRR‐based THz metamaterial absorber enables polarization‐insensitive dual‐band absorption and skin‐cancer‐related refractive‐index sensing through measurable resonance shifts. Field, surface‐current, and circuit analyses clarify the dual‐resonance mechanism, while StackNet‐assisted prediction accurately estimates the simulated absorption ...
Md. Murad Kabir Nipun, S. M. Rifatur Rana, Md. Golam Morshed, Imrose Jahan, F. A. Sabbir Ahamed, Md. Jahedul Islam   +5 more
wiley   +1 more source

Physics Informed Generative Surrogate Learning for Full Wave Validated Real Time Beamforming in Programmable Metasurfaces

Advanced Electronic Materials, EarlyView.
A physics‐guided generative surrogate framework is developed for programmable metasurface beamforming. Mode‐conditioned binary state generation, aperture‐physics prediction, routed residual correction, NSGA‐II optimization, and CST validation are combined to support fast candidate screening and full‐wave beam refinement across single‐beam, dual‐beam ...
Wenqian Liu, Weidong Chen, Chang Chen, Xiang Zhang, Sensong An   +4 more
wiley   +1 more source

Artificial Intelligence for Fluorite Ferroelectric Materials: From Discovery to Optimization

Advanced Electronic Materials, EarlyView.
Artificial intelligence accelerates the discovery and optimization of HfO2‐based fluorite ferroelectrics by linking synthesis, structure, properties, and device performance. Machine learning, deep‐learning analysis, and AI‐driven atomistic modeling enable predictive design, dopant screening, and closed‐loop optimization toward next‐generation ...
Faizan Ali, David Lehninger, Florencio Sánchez, Ignasi Fina   +3 more
wiley   +1 more source

Empowering smart cities: Leveraging advanced forecasting models for proactive rainfall prediction and resilient urban planning

AIP Advances
This study highlights the pivotal role of rainfall prediction within the dynamic landscape of smart cities. Accurate rainfall forecasts in such urban environments are foundational for bolstering infrastructure resilience, optimizing resource allocation ...
Abdulnoor A. J. Ghanim, Ahmad Shaf, Muhammad Irfan, Fawaz Alzabari, Muawia Abdelkafi Magzoub Mohamed Ali   +4 more
doaj   +1 more source