Results 131 to 140 of about 6,813,126 (333)
Two‐Dimensional Materials as a Multiproperty Sensing Platform
Advanced Functional Materials, EarlyView.Various sensing modalities enabled and/or enhanced by two‐dimensional (2D) materials are reviewed. The domains considered for sensing include: 1) optoelectronics, 2) quantum defects, 3) scanning probe microscopy, 4) nanomechanics, and 5) bio‐ and chemosensing.
Dipankar Jana +11 more
wiley +1 more source
Advanced Functional Materials, EarlyView.The study proposes a 1‐bit programmable metasurface based on flip‐disc display, named flip‐disc metasurface (FD‐MTS). This new design enables ultralow energy consumption while maintaining coding patterns. It also exhibits high scalability and multifunctional flexibility.
Jiang Han Bao +8 more
wiley +1 more source
Molecular Cross‐Linking of MXenes: Tunable Interfaces and Chemiresistive Sensing
Advanced Functional Materials, EarlyView.In this study, Ti3C2Tx MXenes are initially functionalized using oleylamine ligands to form stable dispersions in an organic solvent. Subsequently ligand exchange with α,ω‐diaminoalkanes enables cross‐linking, along with precise tuning of interfaces. This structural control translates into tunable charge transport and responsive VOC sensing, showing ...
Yudhajit Bhattacharjee +12 more
wiley +1 more source
CUBIC-Learn: A Reinforcement Learning Approach to CUBIC Congestion Control
Jordanian Journal of Computers and Information TechnologyManaging congestion effectively enables reliable and fast data transfer over networks. CUBIC delivers reliable results under normal circumstances but cannot adapt effectively to changing network scenarios.
Ehsan Abedini, Mohsen Nickray
doaj +1 more source
Maximum Power Point Tracking of Photovoltaic System Based on Reinforcement Learning
Sensors, 2019 The maximum power point tracking (MPPT) technique is often used in photovoltaic (PV) systems to extract the maximum power in various environmental conditions.
Kuan-Yu Chou +2 more
doaj +1 more source
Approximate Q-Learning-based (AQL) Network Slicing in Mobile Edge-Cloud environments for Delay-sensitive Services Using Markov Decision Process [PDF]
, 2023 C. Bharanidharan +3 more
openalex +1 more source
Maxmin Q-learning: Controlling the Estimation Bias of Q-learning
, 2020 ICLR ...
Lan, Qingfeng +3 more
openaire +2 more sources
Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics
Advanced Functional Materials, EarlyView.Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha +18 more
wiley +1 more source
Learning Negotiating Behavior Between Cars in Intersections using Deep\n Q-Learning [PDF]
, 2018 Tommy Tram +4 more
openalex +1 more source