Results 271 to 280 of about 851,166 (333)

Cost‐effectiveness analysis of postoperative surveillance for stage IV colorectal cancer in Japan: An economic modeling study

Annals of Gastroenterological Surgery, EarlyView.
This economic evaluation used a Markov state‐transition model to analyze the cost‐effectiveness of surveillance strategies recommended by various academic societies. This study found that the surveillance program proposed by the Japanese Society for Cancer of the Colon and Rectum (JSCCR) was the most cost‐effective, with an incremental cost ...
Fumio Tsukamoto, Shunsuke Tsukamoto, Takeharu Kato, Hiroshi Nagata, Yasuyuki Takamizawa, Konosuke Moritani, Yusuke Kinugasa, Minoru Esaki, Yukihide Kanemitsu, Ataru Igarashi   +9 more
wiley   +1 more source

A Test of the Horvath–Kawazoe Method by Monte Carlo Simulation

, 1997
D.L. Valladares, G. Zgrablich
openalex   +1 more source

Dynamic site‐interconversion reduces the induction period of methanol‐to‐olefin conversion

AIChE Journal, EarlyView.
Abstract Reaction–diffusion coupling across the catalyst pore, grain, pellet, and reactor bed has been studied using a particle‐resolved transient microkinetic model applied to temperature‐programmed desorption and step‐response studies of methanol and dimethyl ether conversion over ZSM‐5 catalysts, respectively.
Toyin Omojola
wiley   +1 more source

Machine Learning‐Driven Extraction of Hybrid Compact Models Integrating Neural Networks and Berkeley Short‐Channel Insulated‐Gate Field‐Effect Transistor Model‐Common Multigate for Multidevice Applications

Advanced Intelligent Systems, EarlyView.
This research presents a machine learning approach integrating Berkeley short‐channel IGFET model‐common multigate models with an error‐correction neural network to expedite accurate compact model generation for semiconductor devices. Utilizing a hypernetwork, the method eliminates time‐consuming and laborsome parameter tuning and allows simultaneous ...
Seungjoon Eom, Seunghwan Lee, Hyeok Yun, Kyeongrae Cho, Soomin Kim, Rockhyun Baek   +5 more
wiley   +1 more source

Generative Inverse Design of Metamaterials with Functional Responses by Interpretable Learning

Advanced Intelligent Systems, EarlyView.
This work introduces random‐forest‐based interpretable generative inverse design (RIGID), a new single‐shot inverse design method for metamaterials using interpretable machine learning and Markov chain Monte Carlo sampling. Once trained on a small dataset, RIGID can estimate the likelihood of designs achieving target behaviors (e.g., wave‐based ...
Wei (Wayne) Chen, Rachel Sun, Doksoo Lee, Carlos M. Portela, Wei Chen   +4 more
wiley   +1 more source

Machine Learning‐Assisted Simulations and Predictions for Battery Interfaces

Advanced Intelligent Systems, EarlyView.
This review summarizes machine learning (ML)‐assisted simulations and predictions at battery interfaces. It highlights how employing ML algorithms with machine vision, enables the lithium dendrite growth simulation, the solid–electrolyte interphase formation, and other interfacial dynamics.
Zhaojun Sun, Xin Li, Yiming Wu, Qilin Gu, Shiyou Zheng   +4 more
wiley   +1 more source

Deep Q‐Network‐Based Hierarchical Path Planning of a Biped Wall‐Climbing Robot for Window Cleaning

Advanced Intelligent Systems, EarlyView.
This article presents a biped wall‐cleaning climbing robotic system for the maintenance of multi‐isolated areas on exoskeleton‐structured windows (ESWs). A full coverage cleaning approach is proposed by integrating a deep Q‐network‐based method with the robotic system to address the complete coverage cleaning path planning problem.
Weijian Zhang, Zikang Li, Lap Mou Tam, Qingsong Xu   +3 more
wiley   +1 more source

Fairness in Federated Learning: Trends, Challenges, and Opportunities

Advanced Intelligent Systems, EarlyView.
This survey delves into the intricate issues pertinent to fairness in federated learning , where various biasing factors can skew model performance. By systematically analyzing fairness‐aware strategies, evaluation metrics, and future directions, this work identifies pivotal research gaps in existing approaches and sheds light on both challenges and ...
Noorain Mukhtiar, Adnan Mahmood, Quan Z. Sheng   +2 more
wiley   +1 more source

Unlocking Dynamic Subtle Stimuli Tactile Perception: A Deep Learning‐Enhanced Super‐Resolution Tactile Sensor Array with Rapid Response

Advanced Intelligent Systems, EarlyView.
A tactile sensor array simultaneously integrates super‐resolution and rapid response capabilities to perceive subtle and dynamic stimuli, mimicking the location‐sensing mechanism of human skin. It effectively and swiftly detects and localizes these stimuli, resulting in a localization inference with a root mean square error of 1.50 mm, and can track ...
Shuyao Zhou, Depeng Kong, Mengke Wang, Baocheng Wang, Yuyao Lu, Honghao Lyu, Zhangli Lu, Yong Tao, Kaichen Xu, Geng Yang   +9 more
wiley   +1 more source

Dual Neural Network Framework with SPICE Integration for Fast and Accurate Transistor Modeling

Advanced Intelligent Systems, EarlyView.
Neural network (NN)‐based compact transistor models are often deployed and evaluated standalone due to the lack of compatibility with existing simulation program with integrated circuit emphasis (SPICE) software. Herein, the proposed dual‐NN framework with the best trade‐off between high speed and high accuracy is integrated into commercial SPICE ...
Rodion Novkin, Hussam Amrouch
wiley   +1 more source