Results 201 to 210 of about 424,076 (355)

An AI‐Enabled All‐In‐One Visual, Proximity, and Tactile Perception Multimodal Sensor

Advanced Robotics Research, EarlyView.
Targeting integrated multimodal perception of robots, an AI‐enabled all‐in‐one multimodal sensor is proposed. This sensor is capable of perceiving three types of modalities, including vision, proximity, and tactility. By toggling an ultraviolet light and adjusting the camera focus, it switches smoothly between multiple perceptual modalities, enabling ...
Menghao Pu, Tiyong Zhao, Lingxi Zhang, Chaoqun Han, Zhiping Chai, Yifan Zhou, Han Ding, Zhigang Wu   +7 more
wiley   +1 more source

A fuzzy-microeconomics model for priority-based content centric routing in internet of things. [PDF]

Sci Rep
Xu J, Chen Q.
europepmc   +1 more source

Experimental Investigation on Fuzzy PID Control of Dual Axis Turntable Servo System

, 2018
Liang Du, Xiyuan Lu, Miao Yu, Bo Dong, Yuanchun Li   +4 more
openalex   +1 more source

TacScope: A Miniaturized Vision‐Based Tactile Sensor for Surgical Applications

Advanced Robotics Research, EarlyView.
TacScope is a compact, vision‐based tactile sensor designed for robot‐assisted surgery. By leveraging a curved elastomer surface with pressure‐sensitive particle redistribution, it captures high‐resolution 3D tactile feedback. TacScope enables accurate tumor detection and shape classification beneath soft tissue phantoms, offering a scalable, low‐cost ...
Md Rakibul Islam Prince, Sheeraz Athar, Pokuang Zhou, Yu She   +3 more
wiley   +1 more source

Design of global climate control based on fuzzy systems with concept of carbon emissions. [PDF]

PLoS One
Naseer S, Chang WJ, Aslam MS, Hashim Bukhari M, Bilal H, Nawaz MJ.   +5 more
europepmc   +1 more source

Continual Learning for Multimodal Data Fusion of a Soft Gripper

Advanced Robotics Research, EarlyView.
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley   +1 more source

Six degree of freedom quadcopter stabilization using self adaptive bonobo Pareto multi objective FLC with processor in the loop validation. [PDF]

Sci Rep
Benhammou A, Hartani MA, Hashim FA, Alayed W.   +3 more
europepmc   +1 more source

Application of PID and self-tuning fuzzy PID control methods in the control of non-linear magnetic levitation system

Yusuf Karabacak
openalex   +2 more sources

Research of Variable Application Control System Based on Fuzzy Control [PDF]

, 2018
Jinxia Huang, Yu Zhang, Xiaoguang Su, Siqing Tian   +3 more
openalex   +1 more source

Predicting Immunotherapy Outcomes in NSCLC Using RNA and Pathology from Multicenter Clinical Trials

Advanced Science, EarlyView.
LIRA, a machine learning‐based model, is developed using transcriptomic data from 891 NSCLC patients in the OAK and POPLAR cohorts. Its predictive performance is validated in multiple external cohorts. Patients stratified by LIRA‐score exhibit distinct clinical characteristics and tumor microenvironment profiles.
Zhaojun Wang, Yiran Fang, Xiatong Huang, Guichuang Ma, Qianqian Mao, Xiansheng Lu, Guangda Rong, Yunfang Yu, Yuanyuan Wang, Zhenhua Huang, Huiying Sun, Jiani Wu, Wenchao Gu, Na Huang, Jianhua Wu, Rui Zhou, Xiaoxiang Rong, Siting Zheng, Shaowei Li, Gaofeng Wang, Ling Wang, Wenjun Qiu, Luyang Jiang, Peng Luo, Yonggang Liu, Jianping Bin, Yulin Liao, Min Shi, Zuqiang Wu, Jiguang Wang, Wangjun Liao, Gang Chen, Dongqiang Zeng   +32 more
wiley   +1 more source