Results 181 to 190 of about 6,744,718 (372)
A Mean-VaR Based Deep Reinforcement Learning Framework for Practical Algorithmic Trading [PDF]
Boyi Jin
openalex +1 more source
A transparent, deformable stevia–PVA hydrogel triboelectric nanogenerator delivers significantly enhanced mechanical strength and electrical output through biomimetic hydrogen‐bonded networks. Coupled with machine learning–assisted signal recognition, the self‐powered hydrogel enables accurate human‐motion sensing for intelligent wearable and IoT ...
Thien Trung Luu +5 more
wiley +1 more source
Risk aversion and the dynamics of optimal liquidation strategies in illiquid markets [PDF]
We consider the infinite-horizon optimal portfolio liquidation problem for a von Neumann-Morgenstern investor in the liquidity model of Almgren (2003).
Schied, Alexander, Schoeneborn, Torsten
core +1 more source
ABSTRACT The advancement of 3D carbon nanostructures for next‐generation desalination membranes is hindered by limited control of the pore size to ensure effective salt rejection. Chemical functionalization and mechanical modification are known approaches to address the problem, while the combined effect of the two approaches remains unexplored.
Aleksandr S. Voronin +2 more
wiley +1 more source
Procalcitonin is a key biomarker for bacterial infections, but conventional detection methods are often time‐consuming. Here, we present an electrochemical sensor based on highly conductive Ti3C2Tx MXene combined with PEDOT:PSS, enabling direct antibody immobilization, while a bovine serum albumin coating provides antifouling protection.
Angelika Banaś +6 more
wiley +1 more source
Ductility Tuning via Cluster Network Characteristics of Porous Components
Network optimization via cluster characteristics induced by interaction of stress concentration is proposed, demonstrating increased cluster size and dispersion in non‐uniform porous components. The optimized structures exhibit, for the first time, that enhanced ductility and damage progression is controllable through zigzag cluster network designed by
Ryota Toyoba +4 more
wiley +1 more source
Review of: "Machine Learning Methods in Algorithmic Trading: An Experimental Evaluation of Supervised Learning Techniques for Stock Price" [PDF]
Michaela Jannová
openalex +1 more source
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane +4 more
wiley +1 more source
Transducers convert physical signals into electrical and optical representations, yet each mechanism is bounded by intrinsic trade‐offs across bandwidth, sensitivity, speed, and energy. This review maps transduction mechanisms across physical scale and frequency, showing how heterogeneous integration and multiphysics co‐design transform isolated ...
Aolei Xu +8 more
wiley +1 more source
Algorithmic Trading in Limit Order Books for Online Portfolio Selection
Youngmin Ha
openalex +1 more source

