Results 171 to 180 of about 1,263,282 (314)
Two‐Dimensional Materials as a Multiproperty Sensing Platform
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
Deep Hybrid CNN-BiLSTM-Attention Model for EEG Classification Using Wavelet Features. [PDF]
Bayan T, Das D, Deb N.
europepmc +1 more source
Composite mode stability augmentation of interconnected power system by means of hybrid PSS.
Parsa Moghaddam Mohsen, Junichi Toyoda
openaire +2 more sources
The article presents nanomaterial‐integrated fiber neural probes as innovative tools for deep brain molecular sensing, neural stimulation, and temperature monitoring. It examines breakthroughs in SERS‐based biomolecule detection, thermoplasmonic activation, and luminescent thermometry, alongside strategies to overcome stability, specificity, and ...
Di Zheng +5 more
wiley +1 more source
Advancing Machine Learning Strategies for Power Consumption-Based IoT Botnet Detection. [PDF]
Wakili AA +4 more
europepmc +1 more source
An innovative combination of size‐controlled template synthesis, partial cation exchange reactions, and dual shell passivation offers a new class of RoHS‐compliant, heavy metal‐free Cu‐Zn‐In‐Se/ZnS/Al2O3 core/shell/shell quantum dots (QDs), exhibiting long‐range tunability, highly efficient SWIR emission with remarkably narrow photoluminescence ...
Avijit Saha +8 more
wiley +1 more source
Robust Low-Complexity WMMSE Precoding Under Imperfect CSI with Per-Antenna Power Constraints. [PDF]
Guo Z, Sen V, Deng H.
europepmc +1 more source
High‐entropy perovskite nanofibers serve as robust and active bifunctional air electrodes in reversible protonic ceramic electrochemical cells. Their compositional complexity stabilizes the lattice, enriches oxygen vacancies, and accelerates surface exchange.
Hyeonggeun Kim +4 more
wiley +1 more source
Design of a hybrid learning model for establishing consistency in smart grid environment. [PDF]
Mahendran S, Gomathy B.
europepmc +1 more source
Quantifying Spin Defect Density in hBN via Raman and Photoluminescence Analysis
An all‐optical method is presented for quantifying the density of boron vacancy spin defects in hexagonal boron nitride (hBN). By correlating Raman and photoluminescence signals with irradiation fluence, defect‐induced Raman modes are identified and established an relationship linking optical signatures to absolute defect densities. This enables direct
Atanu Patra +8 more
wiley +1 more source

