Results 91 to 100 of about 69,316 (271)
The energetic offset between the donor and the acceptor components in organic photoactive layers is central to the tradeoff between photovoltage and photocurrent losses. This Perspective covers the most important issues surrounding this topic in non‐fullerene acceptor blends, from the difficulty of accurately determining state energies and driving ...
Dieter Neher, Manasi Pranav
wiley +1 more source
Attention-Guided Hierarchical Parsing for Fine-Grained Person-Centric Image Captioning
Although significant progress in the task of producing fine-grained captions for portrait images has been made by the current models for generating detailed descriptions in captions, they still face challenges in attention allocation and in capturing the
Zhengcheng Gu, Jing Jin
doaj +1 more source
Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat +4 more
wiley +1 more source
This work develops dynamically softening polyacrylamide hydrogels for time‐resolved imaging during continuous mechanical transitions. The study revealed that mechanotransduction is biphasic; YAP/TAZ inactivation is driven by early loss of the nucleocytoskeletal continuum connecting subnuclear adhesions, F‐actin, and the nuclear envelope, coupled with ...
Alessandro Gandin +12 more
wiley +1 more source
Generating Diverse and Meaningful Captions [PDF]
Image Captioning is a task that requires models to acquire a multimodal understanding of the world and to express this understanding in natural language text. While the state-of-the-art for this task has rapidly improved in terms of n-gram metrics, these models tend to output the same generic captions for similar images.
Annika Lindh +4 more
openaire +3 more sources
An entity‐centric foundation model, GloPath, is introduced for comprehensive glomerular lesion assessment from routine renal biopsy images. Trained on over one million glomeruli, the framework enables robust lesion recognition, grading, and cross modality diag nosis, while uncovering large‐scale clinicopathological associations.
Qiming He +28 more
wiley +1 more source
Growth‐Like Swelling of 2D Precursors for Efficient Fabrication of Complex 3D Microstructures
The growth‐like swelling process fills photocured polymers into the elastomeric microstructures, inducing a significant swelling deformation of microstructures that can be maintained in the absence of solvents. The growth‐like swelling process breaks through the dependence of swelling deformation on the solvents, thereby expanding the application of 3D
Xinkai Zhu +13 more
wiley +1 more source
Image Caption Generator Using LSTM
Abstract: There have been groundbreaking applications that connect visual content understanding with verbal expression made possible by the rise of Deep Learning (DL) in Computer Vision (CV) and Natural Language Processing (NLP). Among these, the project on Image Caption Generator using Long Short-Term Memory (LSTM) networks stands out as a significant
Chalcheema Sasidhar +4 more
openaire +2 more sources
Generating captions automatically for images has been a challenging task, requiring the integration of image processing and natural language processing techniques.
Smita Bharne, Pawan Bhaladhare
doaj +1 more source
Lymphoid‐Tissue‐on‐Chip Recapitulates Human Antibody Responses In Vitro
The presented lymphoid‐tissue‐on‐chip system allows culture of primary human tonsil cells at organotypic high density under perfusion for up to 4 weeks, emulates immune response to soluble vaccines and vaccination via peripheral antigen‐presenting cells and represents a useful tool to assess cellular interactions during homeostasis, immune responses ...
Claudia Teufel +15 more
wiley +1 more source

