Results 241 to 250 of about 47,079 (313)

Hyperparameter Optimization Approach in GRU Model: A Case Study of Rainfall Prediction in DKI Jakarta

Fidia Raaihatul Mashfia, Suci Astutik, Eni Sumarminingsih   +2 more
openalex   +1 more source

Prediction of Structural Stability of Layered Oxide Cathode Materials: Combination of Machine Learning and Ab Initio Thermodynamics

Advanced Energy Materials, EarlyView.
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu, Milica Zdravković, Dijana Milosavljević, Konstantin Köster, Olivier Guillon, Jyh‐Chiang Jiang, Payam Kaghazchi   +6 more
wiley   +1 more source

A hybrid transformer-BiLSTM model optimized with Firefly Algorithm for network traffic anomaly detection. [PDF]

PLoS One
Luo D, Wang W, Liu X, Yang W, Hu K, Zhang J.   +5 more
europepmc   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +1 more source

A novel hybrid framework integrating GA-driven 3D ResUNetGAN for MRI brain tumor segmentation. [PDF]

PLoS One
Kirubakaran M, Mohan J.
europepmc   +1 more source

Model‐Based Bayesian Optimization for Organic Photovoltaics: Combining Bayesian Optimization With Physical Domain Knowledge

Advanced Energy Materials, EarlyView.
Integration of a physical solar cell model into Bayesian optimization is performed using the Knowledge Gradient acquisition function to balance exploration and exploitation. Experimental validation on the PTQ10:BTP‐eC9 material system and statistical validation on an OPV benchmark function show that the model‐based approach outperforms conventional ...
Leonard Christen, Thomas Kirchartz
wiley   +1 more source

Adaptive Riemannian optimization for multi-scale diffeomorphic matching. [PDF]

Nat Commun
Jena R, Chaudhari P, Gee JC.
europepmc   +1 more source

How Video‐Based Information Affects Farmers' Willingness to Pay for Drone Services

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT Professional service for digital technology like agricultural drones lowers transaction costs and scope thresholds for smallholders. Meanwhile, perceptual adoption barriers remain underexplored. We conduct a two‐stage choice experiment with a randomized video‐based information treatment among 384 Chinese crop farmers to measure its effect on ...
Hua Zhang, Lena Kuhn, Hang Xiong, Zhanli Sun, Thomas Glauben   +4 more
wiley   +1 more source

Temporal forecasting of electric vehicle charging load using an IVY-VMD-TCN-BiLSTM model with cross-zone evaluation. [PDF]

Sci Rep
Zhang W, Ma B, Wang D.
europepmc   +1 more source

Determinants of Knowledge and Usage of Generative Artificial Intelligence in Agricultural Extension: Evidence From Tennessee Extension Personnel

Agribusiness, EarlyView.
ABSTRACT This paper examines the determinants of generative AI (GenAI) knowledge and usage among agricultural extension professionals. Drawing on survey data from agricultural extension personnel in Tennessee, we employ regression analyses and latent Dirichlet allocation (LDA) for topic modeling of open‐ended responses to study the knowledge and usage ...
Abdelaziz Lawani, Jason de Koff, James Muriuki, Anna‐Liisa Ihuhwa   +3 more
wiley   +1 more source