Results 101 to 110 of about 1,261 (252)
This article investigates how persistent homology, persistent Laplacians, and persistent commutative algebra reveal complementary geometric, topological, and algebraic invariants or signatures of real‐world data. By analyzing shapes, synthetic complexes, fullerenes, and biomolecules, the article shows how these mathematical frameworks enhance ...
Yiming Ren, Guo‐Wei Wei
wiley +1 more source
Variational Autoencoder+Deep Deterministic Policy Gradient addresses low‐light failures of infrared depth sensing for indoor robot navigation. Stage 1 pretrains an attention‐enhanced Variational Autoencoder (Convolutional Block Attention Module+Feature Pyramid Network) to map dark depth frames to a well‐lit reconstruction, yielding a 128‐D latent code ...
Uiseok Lee +7 more
wiley +1 more source
Droplet‐based microfluidics enables precise, high‐throughput microscale reactions but continues to face challenges in scalability, reproducibility, and data complexity. This review examines how artificial intelligence enhances droplet generation, detection, sorting, and adaptive control and discusses emerging opportunities for clinical and industrial ...
Junyan Lai +10 more
wiley +1 more source
Sub‐Micrometer‐Precision Path Following of Piezo‐Actuated Mobile Robot
This article reports on the Holonomic‐Beetle (HB), a palm‐sized robot that achieves sub‐micrometer (sub‐µm) precision path tracking across spatial ranges from 100 µm to 10 mm. Using proportional‐integral‐derivative (PID) control, the HB accurately tracks both complex and straight paths with sub‐µm path errors, surpassing existing robots.
Eiji Kusui +9 more
wiley +1 more source
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy +2 more
wiley +1 more source
Dual‐Scale Transformer Fusion With Meta Learning for Micro Metastasis Detection in Thyroid Cancer
A dual‐scale transformer model enhanced by meta‐learning enables accurate detection of tiny metastatic lesions in thyroid cancer. By combining cellular and tissue‐level features, the method outperforms existing models and shows strong adaptability to rare cases with limited data.
Jingtao Wang +5 more
wiley +1 more source
A New Fuzzy Logic Classifier Based on Multiscale Permutation Entropy and Its Application in Bearing Fault Diagnosis. [PDF]
Du W +12 more
europepmc +1 more source
This paper presents the deformable attention multiscale feature fusion network‐dehaze adaptive image dehazing network, which integrates three core modules (revised residual shrinkage unit, multiscale attention, cross‐scale feature fusion). It incorporates deformable convolution and multiscale attention mechanisms to address the detail loss issue of ...
Ruipeng Wang +4 more
wiley +1 more source
Mucin Glycoprotein Nanoparticles Enable a Selective Antisense Therapy for Oncogenic MicroRNAs
Mucin glycoproteins are turned into nanoparticles by employing synthetic DNA strands, which have a dual function: they stabilize the nanoparticles and act as binding sites for intracellular miRNA‐21. Thus, upon internalization into tumor cells, these mucin nanoparticles can deplete miRNA‐21 from the cytosol, which induces apoptosis in vitro and in vivo.
Ceren Kimna +9 more
wiley +1 more source
The Nonadiabatic Nature of the Substituent Effects in Azobenzene
Unified nonadiabatic switching: thermal Z→E isomerization of para‐substituted azobenzenes proceeds through a single nonadiabatic rotational pathway. The iconic bell‐shaped Hammett plot is a σp artifact, not a reflection of a mechanistic change, exposing the limits of single‐reference density functional theory (DFT) and establishing activation entropy ...
Jacob Jan van der Wal +4 more
wiley +1 more source

