Results 141 to 150 of about 7,526 (294)

Uniaxial compressive strength prediction and ratio parameter optimization of titanium tailings composite backfill materials using intelligent hybrid models

open access: yesDeep Underground Science and Engineering, EarlyView.
Based on the 90 datasets, ERT and four optimization algorithms were used to build four hybrid models to predict the UCS of the backfill body. The SMA‐ERT model was the most effective model, and it can reliably guide the design of the backfill ratio parameters. Abstract This study analyzed the feasibility of using titanium (Ti) tailings as a backfilling
Weijun Liu, Zida Liu, Zhixiang Liu
wiley   +1 more source

Probabilistic prediction of rate‐dependent rock strength using natural gradient boosting and Gaussian process regression

open access: yesDeep Underground Science and Engineering, EarlyView.
Probabilistic natural gradient boosting and Gaussian process regression models accurately predict rate‐dependent rock strength across lithologies. Static strength and strain rate dominate, while geometric factors have minimal influence, enabling interpretable and uncertainty‐aware predictions for dynamic geomechanical applications. Abstract The dynamic
Hadi Fathipour‐Azar
wiley   +1 more source

SOIL SURFACE VIBRATIONS IN THE TRAINING OF METRO TRAINS IN PARALLEL TUNNELS.

open access: yesTheoretical & Applied Science, 2020
Sharafitdin Sayfitdinovich Yuldashev   +1 more
openaire   +1 more source

Two-step optimization of train timetables rescheduling and response vehicles on a disrupted metro line

open access: yes
Metro disruption management is currently one of the hot issues in metro research. Existing research has primarily focused on rescheduling normal train timetables or the design of bus bridging services, with limited consideration of the traffic dynamics ...
Wang, Hui   +5 more
core   +1 more source

Explainable hybrid stacking ensemble method for hard rock pillar stability prediction and engineering applications

open access: yesDeep Underground Science and Engineering, EarlyView.
This research proposes an interpretable hybrid stacking ensemble framework, optimized by the Sparrow Search Algorithm, to enhance hard rock pillar stability prediction. By integrating six machine learning models—k‐nearest neighbors, support vector machines, random forests, Gradient Boosting Decision Tree, eXtreme Gradient Boosting, and Light Gradient ...
Ning Wang   +3 more
wiley   +1 more source

Scrutinizing the Wallacean shortfall: global gaps in snake occurrence data across space and environment

open access: yesEcography, EarlyView.
Occurrence records are fundamental for ecological and evolutionary research, providing key information on species' geographic ranges. However, these records are often taxonomically, spatially, and temporally biased, requiring caution in their use. Here, we analysed the spatial coverage of occurrence records for over 3500 snake species worldwide to ...
Lívia Frateles   +5 more
wiley   +1 more source

Access audit of orange line metro train

open access: yesJournal of Accessibility and Design for All
Persons with Disabilities (PWD’s) in Pakistan face significant mobility barriers  that exclude them from participating as equal citizens. This exclusion increases their vulnerability, making them dependent and trapping them in a vicious cycle of poverty, keeping them marginalized in society.
Tamsal, Khunsha   +3 more
openaire   +1 more source

Recent Advances in Prussian Blue Analogs as Capacitive Deionization Electrode Materials: Fundamentals, Structure–Performance Relationships, and Design Strategies

open access: yesENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
This review systematically examines the fundamental ion‐storage mechanisms, the structural chemistry, and redox behavior of Prussian blue analogs as Faradaic electrodes in capacitive deionization, their intrinsic limitations and engineering optimization strategies, and the critical materials‐to‐device considerations required to advance PBA‐based CDI ...
Adekunle Adedapo Obisanya   +4 more
wiley   +1 more source

Real-Time Anomaly Detection in Metro Train APU Compressors: Insights from Operational Data

open access: yes
Metro train systems are vital components of modern urban transportation networks. Ensuring the reliable operation of auxiliary power units (APU) is crucial for the overall performance and safety of metro trains.
B. Srinivasulu   +2 more
core   +1 more source

Home - About - Disclaimer - Privacy