Results 221 to 230 of about 2,605,876 (309)
SPFDet: CLIP Text-Prior-Guided Structure-Enhanced Detector for Fine-Grained Ship Detection in Remote Sensing Images. [PDF]
Zhang J, Li Y.
europepmc +1 more source
FluoAI is a two‐stage, label‐free method for quantifying nanomaterial‐induced cytotoxicity from conventional fluorescence microscopy images. Mask R‐CNN segmentation and DenseNet‐121 classification provide rapid live/dead classification matching human accuracy.
Ugur C. Topkiran +6 more
wiley +1 more source
Probing the content of semantic representations in body-selective regions. [PDF]
Yashiro R +3 more
europepmc +1 more source
Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers
Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica +38 more
wiley +1 more source
Zero-shot emotional speech synthesis based on feature decoupling and adaptive loss-threshold reweighting. [PDF]
Zhu Y, Wang Y, Zhou Y, Liu B, Zhou R.
europepmc +1 more source
A schema‐first alignment framework builds compact, executable domain‐specific language models under data scarcity. Large‐scale synthetic question‐answer generation instills domain knowledge, and a code‐centric IR‐to‐DPO pipeline aligns generation with tool‐executable syntax.
Di Wang +4 more
wiley +1 more source
EduFairBench: reproducible evaluation of large language models for educational assessment. [PDF]
Villegas-Ch W +3 more
europepmc +1 more source
Exploiting Edge Semantics in Job Shop Scheduling Problem With Heterogeneous Graph Transformers
A heterogeneous graph transformer (HGT) is introduced for reinforcement learning‐based job shop scheduling by explicitly distinguishing precedence and machine‐contention relations through edge‐type‐specific attention. The proposed framework learns richer scheduling representations, improves decision quality over homogeneous graph models, and highlights
Bulent Soykan, Fatih Kasimoglu
wiley +1 more source
AEGIS: A Semantic GAN and Evidential Learning Framework for Robust Adversarial Detection in Vision Sensors. [PDF]
Boughdiri M, Msahli M, Bifet A.
europepmc +1 more source

