Results 221 to 230 of about 797,700 (282)

A Safe Maritime Path Planning Fusion Algorithm for USVs Based on Reinforcement Learning A* and LSTM-Enhanced DWA. [PDF]

Sensors (Basel)
Zhang Z, Wang Q, Wang X, Feng M.
europepmc   +1 more source

Computational and Machine‐Learning Studies of Ethylene Oligomerization

Carbon and Hydrogen, EarlyView.
This review focuses on recent advances in computational and machine‐learning studies of ethylene oligomerization, highlighting mainstream catalyst systems based on Co, Ta, Ti, Zr, and Hf, with particular emphasis on Fe‐ and Cr‐based catalysts and their controlling factors governing reactivity and LAO distribution.
Zhixin Qin, Zhihui Song, Heying Feng, Li Jin   +3 more
wiley   +1 more source

A new heuristic framework for estimating indirect (Scope 3) emissions of large organizations. [PDF]

Sci Rep
Sawant V, Wang K, Tong V, Fendler Z, Krishnamoorthy B, Gandhi S, Rajagopal D.   +6 more
europepmc   +1 more source

Uncertainty Calibration in Molecular Machine Learning: Comparing Evidential and Ensemble Approaches

Chemistry – A European Journal, EarlyView.
Raw uncertainty estimates from deep evidential regression and deep ensembles are systematically miscalibrated. Post hoc calibration aligns predicted uncertainty with true errors, improving reliability and enabling efficient active learning and reducing computational cost while preserving predictive accuracy.
Bidhan Chandra Garain, Max Pinheiro Jr., Matheus de Oliveira Bispo, Mario Barbatti   +3 more
wiley   +1 more source

A Dual-Layer Hybrid-A* Path Planning Algorithm for Unstructured Environments Based on Phase Windows. [PDF]

Sensors (Basel)
Zhu T, Xu Z, Zhu R, Zhang W, Miao Z.
europepmc   +1 more source

A Short‐Cut Design Approach to Evaluate Reboiler Designs in Vapor Recompression Scenarios

Chemie Ingenieur Technik, EarlyView.
A short‐cut model framework that incorporates mechanical vapor recompression (MVR) requirements into reboiler design is presented, which is particularly beneficial during early process development with limited data or initial feasibility assessments.
Franziska Lais, Stephan Scholl, Katharina Jasch   +2 more
wiley   +1 more source

Optimization of 3D‐Printed Structured Packings—Current State and Future Developments

Chemie Ingenieur Technik, EarlyView.
This paper gives an overview about structured packing development for distillation, surveying heuristic development cycles, computational fluid dynamics simulations, and additive manufacturing techniques. The emerging application of shape optimization to improve packings is emphasized, and its benefits, impact, and limitations are discussed.
Dennis Stucke, Sebastian Blauth, Christian Leithäuser, Thomas Grützner   +3 more
wiley   +1 more source

Correction: Performance improvement of DC motor control system using PID controller with Kookaburra and Red Panda optimization algorithm. [PDF]

Sci Rep
Saravanan G, Pazhanimuthu C, Naveen P.
europepmc   +1 more source

Data‐driven simulation of crude distillation using Aspen HYSYS and comparative machine learning models

The Canadian Journal of Chemical Engineering, EarlyView.
Integrated Aspen HYSYS–machine learning framework for predicting product yields and quality variables. Abstract Crude oil refining is a complex process requiring precise modelling to optimize yield, quality, and efficiency. This study integrates Aspen HYSYS® simulations with machine learning techniques to develop predictive models for key refinery ...
Aldimiro Paixão Domingos, Heleno Bispo, Thiago Vaz da Costa, Sérgio Mauro da Silva Neiro   +3 more
wiley   +1 more source

Using Human-Centered Design and Development to Create a Digital Sick Day Medication Guidance Application for People With Diabetes, Cardiovascular Disease, or Chronic Kidney Disease: Mixed Methods Study. [PDF]

JMIR Form Res
Babione J, Gil S, Okemeziem C, Palechuk T, Watson KE, Robertshaw S, Verdin N, McBrien K, Campbell DJT, Tsuyuki R, Pannu N, James M, Donald M.   +12 more
europepmc   +1 more source