Results 151 to 160 of about 8,140,064 (302)

An explainable Grey Wolf optimized extreme learning machine framework for modulation classification in cloud environment. [PDF]

Sci Rep
Sahu PC, Prasad B, Dash R, Muduli D, DasMahapatra S, Mishra S, Parija S.   +6 more
europepmc   +1 more source

Online feature selection for model-based reinforcement learning

, 2013
30th International Conference on Machine Learning, ICML 2013PART 1498 ...
Li, Zhuoru, Tze-Yun LEONG,, Nguyen, Trung Thanh, Leong, T.-Y., Silander, T., Li, Z., Nguyen, T.T., Silander, Tomi   +7 more
core  

Functional Fibers in Soft Robotics: Advances in Material, Structural, and Systemic Tactics

Advanced Robotics Research, EarlyView.
Fiber‐form robotic systems offer a scalable pathway toward embodied intelligence in soft robotics. This review surveys functional fibers as material, structural, and systemic elements, highlighting advances in responsive materials, architectural programing, and fabrication strategies.
Joonhee Won, Jaehyun Jang, Hyeonseo Kim, Inyoung Choi, Steve Park, Seongjun Park   +5 more
wiley   +1 more source

Multi-strategy quantum-inspired dung beetle optimizer for kernel extreme learning machine in slope safety factor prediction. [PDF]

Sci Rep
Sun Z, Hai M, Wang M, Guo Y, Zhou B, Zhang Q.   +5 more
europepmc   +1 more source

Position: topological deep learning is the new frontier for relational learning [PDF]

Topological deep learning (TDL) is a rapidly evolving field that uses topological features to understand and design deep learning models. This paper posits that TDL is the new frontier for relational learning.
Nasrin, F, Ramamurthy, KN, Curry, J, Liò, P, Maroulas, V, Gao, Y, Carlsson, G, Kwitt, R, Wang, Y, Zamzmi, G, Veličković, P, Wang, B, Papamarkou, T, Hajij, M, Schaub, MT, Wei, GW, Scardapane, S, Bronstein, M, Birdal, T, Rieck, B, Miolane, N, Di Lorenzo, P   +21 more
core  

Push the Limits: Human‐Like Multimodal Extreme Embodied Intelligence for Autonomous Racing

Advanced Robotics Research, EarlyView.
Autonomous racing tests embodied intelligence under extreme control limits of speed, actuation, and decision‐making. Inspired by human multimodality, we present Apex, an embodied agent deployed on a super‐formula racing car at Yas Marina. Integrating physics‐informed perception, multimodal learning, and tasking, Apex cuts lap times by 15% and achieves ...
Yanxin Zhou, Baichuan Lou, Wenhui Huang, Binbin Hu, Haohan Yang, Haochen Liu, Xiangkun He, Chee Kiong Ong, Yiran Zhang, Tianchu Su, Bolin Zhao, Xiaoyu Mo, Holden King Ho Li, Chen Lv   +13 more
wiley   +1 more source

Retraction: LGD_Net: Capsule network with extreme learning machine for classification of lung diseases using CT scans. [PDF]

PLoS One
PLOS One Editors.
europepmc   +1 more source

Intelligent Micro/Nanorobots for Targeted Interventional Therapy: From Bench to Clinic

Advanced Robotics Research, EarlyView.
Zirui Zhang et al. reviewed the application and challenges of mobile nanomachines in interventional therapy. By converting exogenous energy, including chemical, magnetic, optical, and ultrasonic sources, into mechanical forces, micro/nanorobots (MNRs) enable precise actuation at unprecedented scales. Evolving far beyond traditional drug delivery, these
Zirui Zhang, Yu Dong, Yongsheng Du, Rui Gao, Lin Zhang, Fei Tong   +5 more
wiley   +1 more source

Predicting unconfined compressive strength of geopolymer-stabilized clays using a sector fruit fly-based extreme learning machine. [PDF]

Sci Rep
Abdellatief M, Mortagi M.
europepmc   +1 more source

Flexible Sensors for Robotics Tactile Perception: A Review

Advanced Robotics Research, EarlyView.
Flexible tactile sensing for robotics is reviewed through four interconnected dimensions. Physical mechanisms include piezoresistive, capacitive, piezoelectric, triboelectric, iontronic, and optical sensing. Structural design includes bioinspired, defect‐based, and MEMS‐based tactile systems.
Yu Song, Ying Chen, Yihao Chen, Xue Feng
wiley   +1 more source