Results 221 to 230 of about 360,197 (329)

Liver Disorderprognosis with Apache Spark Random Forest and Gradient Booster Algorithms

, 2019
Hari Krishna, G Michael, R. Kavitha, Timmana Hari Krishna, C. Rajabhushanam, A Kumarave, K Rangarajan, P Kavitha, S Prabakaran, A Kumaravel, O Meetei, S Gayathiridevi, C Nalini, N Kumar, C Nalini, Shwtambarikharabe, M Vivekanandan, Dr Rajabhushanam, Dr, V Rajabhushanam, G Karthik, Vivek, K Rangaswamy, Dr Rajabhushanamc, R Kavitha, R Nedunchelian, G Kavitha, R Kavitha, G Kavitha, R Kavitha, G Michael, A Chandrasekar, G Michael, A Chandrasekar, S Pothumani, M Sriram, J Sridhar, G Arul Selvan, S Pothumani, M Sriram, Sridhar, S Pothumani, M Sriram, Sridhar, N Priya, J Sridhar, M Sriram, N Priya, J Sridhar, M Sriram, N Priya, J Sridhar, M Sriram, Anuradha, Khanna, Anuradha, Khanna, Anuradha, Khanna, B Sundarraj, K Kaliyamurthie   +60 more
openalex   +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

Leveraging Random Forests explainability for predictive modeling of children's conduct problems: insights from individual and family factors. [PDF]

Front Public Health
Romero E, González-González J, Álvarez-Voces M, Costa-Montenegro E, Díaz-Vázquez B, Busto-Castiñeira A, Villar P, López-Romero L.   +7 more
europepmc   +1 more source

Predictive Power of Random Forests in Analyzing Risk Management in Islamic Banking

, 2023
Aysan AF, Ciftler BS, Unal IM.
europepmc   +1 more source

Distributional Random Forests: Heterogeneity Adjustment and Multivariate Distributional Regression

, 2020
Domagoj Ćevid, Loris Michel, Nicolai Meinshausen, Peter Bühlmann, Bühlmann, Peter   +4 more
openalex   +2 more sources

Multi‐Material Additive Manufacturing of Soft Robotic Systems: A Comprehensive Review

Advanced Robotics Research, EarlyView.
This review explores the transformative role of multi‐material additive manufacturing (MMAM) in the development of soft robotic systems. It presents current techniques, materials, and design strategies that enable functionally graded and adaptive structures.
Ritik Raj, Quan‐Chen Song, Jia‐Yang Juang   +2 more
wiley   +1 more source

Real-Time Correction and Long-Term Drift Compensation in MOS Gas Sensor Arrays Using Iterative Random Forests and Incremental Domain-Adversarial Networks. [PDF]

Micromachines (Basel)
Dong X, Han S.
europepmc   +1 more source

Enabling Real‐Time Shape‐Sensing in Soft Robots via a Miniaturized, Single‐Signal, Color‐Tuned Soft Optical Sensor

Advanced Robotics Research, EarlyView.
A miniaturized soft optical sensor that uses thin film color tuning enables real‐time 3D shape‐sensing from a single red–green–blue (RGB) signal. When integrated into a soft robot, it enables closed‐loop control and autonomous navigation in a phantom lung environment without the need for onboard electronics, achieving sub‐millimeter accuracy through ...
Frank Juliá Wise, Yitong Lu, Daniel Van Lewen, Riley Applebaum, Bianca Andrada, Johnathan Reamer, Sheila Russo   +6 more
wiley   +1 more source

Optimizing credit card fraud detection with random forests and SMOTE.

Sci Rep
Sundaravadivel P, Isaac RA, Elangovan D, KrishnaRaj D, Rahul VVL, Raja R.   +5 more
europepmc   +1 more source

Correction: EFFNet: A skin cancer classification model based on feature fusion and random forests. [PDF]

PLoS One
Ma X, Shan J, Ning F, Li W, Li H.
europepmc   +1 more source