In dynamic driving scenarios, the proposed approach ensures only temporally aligned sensor inputs to make driving decisions, preventing false activations. By enabling selective hardware‐level learning, it achieves fast, reliable responses under noisy conditions.
Kapil Bhardwaj +4 more
wiley +1 more source
A machine learning approach to risk based asset allocation in portfolio optimization. [PDF]
Agal S, Raulji K, Odedra ND.
europepmc +1 more source
Influence of Top Electrode Metal on Resistive Switching in Multilayer MOCVD MoS2 Memristors
MoS2 memristors typically use evaporated noble metal electrodes. This study compares Pd, Ni, and Al electrodes and sputtered versus evaporated deposition. Pd is passive, while Ni damages MoS2, yielding poor switching. Sputtered Al enables reproducible ECM‐type switching with 95% yield, whereas evaporated Al forms an interfacial oxide that suppresses ...
Dennis Braun +15 more
wiley +1 more source
Adaptability factors and behavioral biases of investors in frontier markets: An adaptive market hypothesis perspective. [PDF]
Jannatunnesa J, Mahdzan NS, Md Noman AH.
europepmc +1 more source
Scan‐Path‐ and Initial‐State‐Dependent Superdomain Switching in (111)‐Oriented PZT
Scan trajectory and initial superdomain topology govern polarization switching in (111)‐oriented PZT. Automated AFM writing, pulsing experiments, and interferometric 3D‐PFM show that raster scans reproducibly stabilize ordered Type‐I stripe superdomains with constrained variant selection, whereas spiral trajectories generate frustrated mixed‐variant ...
Rama Vasudevan +11 more
wiley +1 more source
Behaviorally informed deep reinforcement learning for portfolio optimization with loss aversion and overconfidence. [PDF]
Charkhestani A, Esfahanipour A.
europepmc +1 more source
Artificial Intelligence for Fluorite Ferroelectric Materials: From Discovery to Optimization
Artificial intelligence accelerates the discovery and optimization of HfO2‐based fluorite ferroelectrics by linking synthesis, structure, properties, and device performance. Machine learning, deep‐learning analysis, and AI‐driven atomistic modeling enable predictive design, dopant screening, and closed‐loop optimization toward next‐generation ...
Faizan Ali +3 more
wiley +1 more source
Characteristics and dynamic evolution of inter-industry volatility spillovers in China's stock market. [PDF]
Xie F, Wei H.
europepmc +1 more source
Sulfide‐Based Electrolytes for All‐Solid‐State Sodium Batteries
This review covers the structural features and synthesis strategies of sulfide‐based solid electrolytes, as well as critical challenges related to conductivity, interfacial and moisture stability, and scaling‐up for practical application in Sodium‐based All Solid‐State Batteries.
Han Yang +6 more
wiley +1 more source
Digital assets: risks, regulations, mitigation. [PDF]
Teng HW +30 more
europepmc +1 more source

