Results 131 to 140 of about 172,276 (298)

Integrating NFTs into Feminist Art Practices: Actualizing the Disruptive Potential of Decentralized Technology

Arts
The integration of NFT technology into the art market utilizes a two-pronged approach of decentralization and increased accessibility as an equalizing answer to rectify gender discrepancies in the contemporary art world.
Natalie Ponder
doaj   +1 more source

Materials for Suppressed Triplet‐Polaron Quenching in Efficient and Long‐Lifetime Phosphorescent OLEDs

Advanced Optical Materials, EarlyView.
We performed a computational screening of phosphorescent emitters and charge transporters for OLEDs to identify combinations that minimize triplet‐polaron quenching, a major cause of efficiency loss and short operational lifetimes, especially in blue OLEDs. Our results reveal key design rules and highlight emitter‐transporter pairs that strongly reduce
Clint van Hoesel, Reinder Coehoorn, Peter A. Bobbert   +2 more
wiley   +1 more source

Learning Highly Dynamic Skills Transition for Quadruped Jumping Through Constrained Space

Advanced Robotics Research, EarlyView.
A quadruped robot masters dynamic jumps through constrained spaces with animal‐inspired moves and intelligent vision control. This hierarchical learning approach combines imitation of biological agility with real‐time trajectory planning. Although legged animals are capable of performing explosive motions while traversing confined spaces, replicating ...
Zeren Luo, Jiahui Zhang, Yimin Han, Ji Ma, Minghao Lu, Ioannis Havoutis, Peng Lu   +6 more
wiley   +1 more source

Efficient Constrained Tensor Factorization by Alternating Optimization with Primal-Dual Splitting

, 2017
Tensor factorization with hard and/or soft constraints has played an important role in signal processing and data analysis. However, existing algorithms for constrained tensor factorization have two drawbacks: (i) they require matrix-inversion; and (ii ...
Kasai, Takuma, Ono, Shunsuke
core  

Information Transmission Strategies for Self‐Organized Robotic Aggregation

Advanced Robotics Research, EarlyView.
In this review, we discuss how information transmission influences the neighbor‐based self‐organized aggregation of swarm robots. We focus specifically on local interactions regarding information transfer and categorize previous studies based on the functions of the information exchanged.
Shu Leng, Zihan Li, Yifeng Shao, Jinhao Liu, Li Yu, Shuguang Li   +5 more
wiley   +1 more source

Auto‐Routing Fluidic Printed Circuit Boards

Advanced Robotics Research, EarlyView.
This work introduces (STREAM) software tool for routing efficiently advanced macrofluidics, an open‐source software tool for automating the design of 3D‐printable fluidic circuit boards. STREAM streamlines tube routing and layout, enabling the rapid fabrication of fluidic networks for soft robotics, lab‐on‐a‐chip devices, microfluidics, and biohybrid ...
Savita V. Kendre, Lehong Wang, Haotian Liu, Markus P. Nemitz   +3 more
wiley   +1 more source

The Intraday Dynamics Predictor: A TrioFlow Fusion of Convolutional Layers and Gated Recurrent Units for High-Frequency Price Movement Forecasting

Applied Sciences
This paper introduces a novel deep learning approach for intraday stock price direction prediction, motivated by the need for more accurate models to enable profitable algorithmic trading.
Ilia Zaznov, Julian Martin Kunkel, Atta Badii, Alfonso Dufour   +3 more
doaj   +1 more source

Algorithms in psychiatry: state of the art.

Psychiatria Danubina, 2013
In literature, algorithms (guidelines) are often synonymous with problem-solving procedures. The importance of using algorithms in psychiatry can be seen in many areas. For physicians, algorithms ease clinical decision making, provide an adequate clinical basis for therapy, stimulate research, and stimulate sources of financing.
Jašović-Gašić, Miroslava, Dunjic-Kostić, Bojana, Pantović, Maja, Cvetić, Tijana, P. Marić, Nadja, A. Jovanović, Aleksandar   +5 more
openaire   +2 more sources

Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback

Advanced Robotics Research, EarlyView.
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat, Ali Umut Kaypak, Prashanth Krishnamurthy, Ramesh Karri, Farshad Khorrami   +4 more
wiley   +1 more source

Toward Wireless Implantable Robotic Systems Driven by Magnetic Field for Personalized Therapy

Advanced Robotics Research, EarlyView.
Robotic materials are playing an increasingly vital role in enabling sensing and actuation at small scales. This perspective highlights recent advances in magnetic materials and magnetically actuated devices for wireless sensing, actuation, and energy harvesting toward implantable robotic systems for closed‐loop therapy.
Yusheng Wang, Ruijian Ge, Xiaoguang Dong
wiley   +1 more source