Results 211 to 220 of about 125,055 (266)

Comparison of the effects of different types of nasointestinal tube placement techniques for ICU patients: a Bayesian network meta-analysis. [PDF]

BMC Anesthesiol
Li P, Peng J, He M, Wang L, Lu X, Liu X, Wu S.   +6 more
europepmc   +1 more source

Lidar‐Based Object Tracking of Traffic Participants with Sensor Nodes in Existing Urban Infrastructure

Advanced Intelligent Systems, EarlyView.
This paper presents a lidar‐based sensor node design and a rule‐based state observer for edge‐based traffic participant tracking. Unlike other state‐of‐the‐art methods, this state observer enables real‐time, CPU‐only edge processing without relying on machine learning approaches.
Simon Schäfer, Bassam Alrifaee, Ehsan Hashemi   +2 more
wiley   +1 more source

A multimodal Bayesian network for symptom-level depression and anxiety prediction from voice and speech data. [PDF]

Sci Rep
Norbury A, Fairs G, Georgescu AL, Nour MM, Molimpakis E, Goria S.   +5 more
europepmc   +1 more source

Towards Advanced Intelligent and Perceptive Soft Grippers

Advanced Intelligent Systems, EarlyView.
Implementing soft yet strong and intelligent soft grippers request innovative and creative solutions in designing soft bodies and seamlessly integrating actuated systems with hierarchical sensing. This review systematically analyses soft grippers with a deep understanding of core components, from fundamental design principles to actuation and sensing ...
Haneul Kim, Hayeon Shin, Seik Park, Changbeom Shim, Seonggun Joe   +4 more
wiley   +1 more source

Reshaping the therapeutic landscape of IgA nephropathy: a Bayesian network meta-analysis on the comparative efficacy and safety of immunosuppressants and targeted agents. [PDF]

BMC Nephrol
Chen R, Zhang J, Chen J, Xie T, Xu Y, Hu Z, Chen J.   +6 more
europepmc   +1 more source

ParamNet: A Physics‐Guided Deep Learning Framework for Intelligent Self‐Inversion of Vacuum Optical Levitation Systems

Advanced Intelligent Systems, EarlyView.
A physics‐guided deep learning framework, ParamNet, is introduced for the intelligent self‐inversion of vacuum optical tweezers. By fuzing dual‐branch time–frequency features with physical dynamical constraints, it achieves high‐accuracy calibration of trap parameters from short‐window, low‐frequency trajectories, outperforming traditional methods ...
Qi Zheng, Wenfeng Fan, Feng Li, Jian Wu, Wei Quan   +4 more
wiley   +1 more source

Efficacy and safety of anti-prediabetic drugs in patients with prediabetes: a Bayesian network meta-analysis. [PDF]

BMC Med
Wu Y, Wang Z, Tuersun A, Yu Q, Zhong Y, Ali SSA, Liu H, Hu X, Zhang Y, Pang L, Li L, Gao L, Wu Q, Wang S, Cui M, Sun L, Wu Y, Yin A, Zhang L, Ma G.   +19 more
europepmc   +1 more source

Exploiting Ferroelectric and Spintronic Dynamics for Neural Network Computation

Advanced Intelligent Systems, EarlyView.
Ferroelectric and spintronic devices, relying on the control of polarization and magnetization, offer intrinsically fast, durable, energy‐efficient, and low‐latency building blocks for analog in‐memory computing. The hysteretic dynamics of an order parameter are leveraged to provide nonvolatile, multistate memory and nonlinear switching. Brain‐inspired
Dashiell Harrison, Kevin Nadaud, Josquin Harrison, Guillaume F. Nataf, Laura Bégon‐Lours   +4 more
wiley   +1 more source

Simplifying fractional polynomials in Bayesian network meta-analysis via variable powers. [PDF]

J Comp Eff Res
Verhoek A, Ouwens MJ, Heeg B, Jansman FG, Postma MJ.   +4 more
europepmc   +1 more source