Results 101 to 110 of about 87,026 (282)

Predicting compressive and tensile strength of concrete with different sand types using machine learning

Ain Shams Engineering Journal
The study evaluates the prediction accuracy of concrete compressive and tensile strength using machine learning and deep learning models with diverse sand materials, cement types, and filler combinations.
Tarek Salem Abdennaji, Rupesh Kumar Tipu, Yahya Alassaf   +2 more
doaj   +1 more source

Anti‐Slip Material‐Based Strategies and Approaches

Advanced Materials Technologies, EarlyView.
This review highlights the principle mechanisms of slipping at the microscale, linking contact mechanics with a friction behavior model for surface interfaces. Main strategies to develop anti‐slip properties to the surfaces are discussed alongside standardized testing approaches.
Sogand Abbaspoor‐Zanjani, Carlo Antonini, Teresa Gatti, Mengjiao Wang   +3 more
wiley   +1 more source

An Extreme Gradient Boosting Approach for Elderly Falls Classification

Engineering Proceedings
Falls pose a significant threat to the elderly population, often resulting in severe health complications such as fractures and other adverse outcomes, which can drastically lower their quality of life.
Paulo Monteiro de Carvalho Monson, Vinicius Toledo Dias, Giovanni Oliveira de Sousa, Gabriel Augusto David, Fabio Romano Lofrano Dotto, Pedro de Oliveira Conceição Junior   +5 more
doaj   +1 more source

Predicting Bank Loan Default with Extreme Gradient Boosting

, 2020
5 pages, 3 Figures, 4 ...
openaire   +2 more sources

Recent Advances of Slip Sensors for Smart Robotics

Advanced Materials Technologies, EarlyView.
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang, Liao Wu, Shuai He, Zhao Sha, Yuwan Huang, Shuying Wu, Dewei Chu, Chun H. Wang, Shuhua Peng   +8 more
wiley   +1 more source

Boosting approach to brine viscosity estimation: Binary system development

Chemical Thermodynamics and Thermal Analysis
Accurate prediction of brine viscosity is essential for the design and optimisation of desalination, hydrometallurgical, and energy-storage systems. In this work, machine-learning-based regression models were developed to predict the viscosity of binary ...
Vinita Sangwan, Rashmi Bhardwaj, Andrés Soto-Bubert, Roberto Acevedo   +3 more
doaj   +1 more source

Accurate Liver Disease Prediction with Extreme Gradient Boosting

International Journal of Engineering and Advanced Technology, 2019
Abstract-Machine learning is used extensively in medical diagnosis to predict the existence of diseases. Existing classification algorithms are frequently used for automatic detection of diseases. But most of the times, they do not give 100% accurate results. Boosting techniques are often used in Machine learning to get maximum classification accuracy.
Sivala Vishnu Murty, Dr. R Kiran Kumar
openaire   +1 more source

Hydrogel‐Based Functional Materials: Classifications, Properties, and Applications

Advanced Materials Technologies, EarlyView.
Conductive hydrogels have emerged as promising materials for smart wearable devices due to their outstanding flexibility, multifunctionality, and biocompatibility. This review systematically summarizes recent progress in their design strategies, focusing on monomer systems and conductive components, and highlights key multifunctional properties such as
Zeyu Zhang, Zao Cheng, Patrizio Raffa
wiley   +1 more source

Optimization-Driven Cost Estimation in House Construction: A Predictive Modeling Approach Using Fruit Fly Optimization Algorithm

Journal of Applied Science and Engineering
Accurate forecasting of house construction cost is central to good forecasting and resource management. Traditional methods of estimation fall short due to uncertainty in material, labor, and macroeconomic drivers.
Yinghong Shi
doaj   +1 more source

Flexible Sensor‐Based Human–Machine Interfaces with AI Integration for Medical Robotics

Advanced Robotics Research, EarlyView.
This review explores how flexible sensing technology and artificial intelligence (AI) significantly enhance human–machine interfaces in medical robotics. It highlights key sensing mechanisms, AI‐driven advancements, and applications in prosthetics, exoskeletons, and surgical robotics.
Yuxiao Wang, Zhipeng Jiang, Sun Hwa Kwon, Matthew Ibrahim, Alexander Dang, Lin Dong   +5 more
wiley   +1 more source