Results 231 to 240 of about 86,968 (310)
Large language models for prognostic analysis in mechanical fault diagnosis. [PDF]
Zhang H +6 more
europepmc +1 more source
FTGRN introduces an LLM‐enhanced framework for gene regulatory network inference through a two‐stage workflow. It combines a Transformer‐based model, pretrained on GPT‐4 derived gene embeddings and regulatory knowledge, with a fine‐tuning stage utilizing single‐cell RNA‐seq data.
Guangzheng Weng +7 more
wiley +1 more source
Superimposed modal voltage based passive islanding detection of grid tied distributed generation using Wigner distribution function. [PDF]
Albalawi H +3 more
europepmc +1 more source
Review of Memristors for In‐Memory Computing and Spiking Neural Networks
Memristors uniquely enable energy‐efficient, brain‐inspired computing by acting as both memory and synaptic elements. This review highlights their physical mechanisms, integration in crossbar arrays, and role in spiking neural networks. Key challenges, including variability, relaxation, and stochastic switching, are discussed, alongside emerging ...
Mostafa Shooshtari +2 more
wiley +1 more source
Non-normal modal logics: bi-neighbourhood semantics and its labelled calculi
Tiziano Dalmonte +2 more
openalex +1 more source
Evaluation of IoT based smart safety systems for women and children using machine learning techniques. [PDF]
Wagh NR +5 more
europepmc +1 more source
During lengthy minimally invasive surgeries, fatigue can cause surgeon tremor and poor endoscopic coordination. This study proposes a robot‐assisted endoscopic adjustment system. It employs a lightweight instrument detection model and a hierarchical multiconstraint controller for visual servoing.
Zijie Yang +5 more
wiley +1 more source
MDL-CA: a multimodal deep learning approach with a cross attention mechanism for accurate brain cancer diagnosis. [PDF]
Sarwar S +4 more
europepmc +1 more source
This study introduces a data‐driven framework that combines deep reinforcement learning with classical path planning to achieve adaptive microrobot navigation. By training a surrogate neural network to emulate microrobot dynamics, the approach improves learning efficiency, reduces training time, and enables robust real‐time obstacle avoidance in ...
Amar Salehi +3 more
wiley +1 more source
Editorial: Neuro-detection: advancements in pattern detection and segmentation techniques in neuroscience. [PDF]
Ben Aoun N, Ahmad S, Ejbali R.
europepmc +1 more source

