Results 281 to 290 of about 5,474,085 (350)

Computing generalized cophenetic distances under all Lp norms: A near-linear time algorithmic framework. [PDF]

PLoS Comput Biol
Górecki P, Markin A, Vijendran S, Eulenstein O.   +3 more
europepmc   +1 more source

Critical Random Walk in Random Environment on Trees of Exponential Growth

, 2004
Robin Pemantle
openalex   +2 more sources

Rationally Design Thermoelectric Materials Based on Ingenious Machine Learning Methods

Advanced Electronic Materials, EarlyView.
A machine learning framework is developed to accurately predict thermoelectric performance of materials. By combining high‐quality data, advanced feature engineering, and machine learning, the model identifies promising candidates like CsCdBr3 and TlBSe3.
Yuqing Sun, Xiaorui Chen, Jianzhi Gao, Wenliang Zhu, Minghu Pan   +4 more
wiley   +1 more source

Probabilistic Analysis for Randomized Game Tree Evaluation

, 2004
Tämur Ali Khan, Ralph Neininger
openalex   +2 more sources

Integrating Automated Electrochemistry and High‐Throughput Characterization with Machine Learning to Explore Si─Ge─Sn Thin‐Film Lithium Battery Anodes

Advanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
A closed‐loop, data‐driven approach facilitates the exploration of high‐performance Si─Ge─Sn alloys as promising fast‐charging battery anodes. Autonomous electrochemical experimentation using a scanning droplet cell is combined with real‐time optimization to efficiently navigate composition space.
Alexey Sanin, Jackson K. Flowers, Tobias H. Piotrowiak, Frederic Felsen, Leon Merker, Alfred Ludwig, Dominic Bresser, Helge Sören Stein   +7 more
wiley   +1 more source

Enhancing student career guidance and sentimental analysis: A performance-driven hybrid learning approach with feature ranking. [PDF]

PLoS One
Yaqoob S, Noor A, Noor TH, Khan MZ, Ejaz A, Alam MI, Rana N, Ejaz K.   +7 more
europepmc   +1 more source

2A1-S-026 Motion Planning of Mobile Robots Considering Moving Obstacles : Study on Spatiotemporal Rapid-exploring Randomized Tree(S-RRT)(RoboCup 1,Mega-Integration in Robotics and Mechatronics to Assist Our Daily Lives)

, 2005
Hiroto Sakahara, Yasuhiro Masutani, Fumio Miyazaki   +2 more
openalex   +2 more sources

State‐of‐the‐Art Machine Learning Technology for Sustainable Lithium Battery Cathode Design: A Perspective

Advanced Energy Materials, EarlyView.
Machine learning applications in Li‐ion batteries. Abstract Technology for lithium‐ion batteries (LIBs) is developing rapidly, which is essential to modern devices and renewable energy sources. The latest development focuses on the optimization of cathode materials, which is critical in determining battery performance and durability.
Adil Saleem, Leon L. Shaw, Zhiqian Chen, Wei Lai   +3 more
wiley   +1 more source

Average height for Abelian sandpiles and the looping constant on Sierpiński graphs. [PDF]

Comput Appl Math
Heizmann N, Kaiser R, Sava-Huss E.
europepmc   +1 more source

What matters for agricultural trade? Assessing the role of trade deal provisions using machine learning

Applied Economic Perspectives and Policy, EarlyView.
Abstract This paper employs machine learning to determine which preferential trade agreement (PTA) provisions are relevant to agricultural trade patterns and the factors that may influence their adoption. Utilizing the three‐way gravity model, we apply plug‐in Lasso regularized regression to pinpoint predictive PTA provisions for agricultural trade ...
Stepan Gordeev, Jeremy Jelliffe, Dongin Kim, Sandro Steinbach   +3 more
wiley   +1 more source