Results 71 to 80 of about 11,177,407 (275)

Meta-Prompting with Open-Source Language Models for Zero-Shot Scene Classification in Remote Sensing [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Zero-shot visual recognition with vision-language models (VLMs) has shown strong generalization to unseen categories in natural-image benchmarks, yet its effectiveness in remote-sensing (RS) imagery remains less explored.
A. Promponas, E. Baltzi, V. Ntouskos, K. Karantzalos   +3 more
doaj   +1 more source

Two‐Way Shape Memory Polymer Composite Gripper for Adaptive Robotic Applications

Advanced Materials Technologies, EarlyView.
A two‐way shape memory polymer (SMP) composite is developed with intrinsic shape‐changing capability driven solely by temperature, eliminating external actuation loads. Embedding the SMP in a low‐stiffness elastomeric matrix enabled reversible transformations during heating and cooling cycles.
Aamna Hameed, Kamran Ahmed Khan
wiley   +1 more source

Zero-shot Information Retrieval

, 2023
With advancements in Transformer models, Zero-shot Information Retrieval (IR) has seen remarkable progress. Document retrieval saves time for knowledge workers seeking relevant documents from a corpus.
JIANG OU (17284639)
core   +1 more source

A Direction‐Aware Piezo‐Transmittance Strain Sensor via Engineered Alignment of Carbon Nanotubes (CNTs)

Advanced Materials Technologies, EarlyView.
A direction‐aware piezo‐transmittance strain sensor is realized through the engineered alignment of carbon nanotubes. This anisotropic architecture instantaneously modulates optical transmittance, achieving ultra‐high sensitivity and exceptionally low hysteresis. By effectively eliminating signal crosstalk to precisely decouple multidirectional strains,
Byeongmin Kang, Kwangjun Kim, Jimin Gu, Junseong Ahn, Yongrok Jeong, Ji‐Hwan Ha, Sohee Jeon, Soonhyoung Hwang, Byung‐Ho Kang, Jihyeon Ahn, Jong‐An Choi, Minwook Kim, Yeonguk Jung, Jun‐Ho Jeong, Jong G. Ok, Inkyu Park   +15 more
wiley   +1 more source

Distribution-Aware CLIP-Adapter with Fine-Grained Text for Few-Shot Fine-Grained Classification

Remote Sensing
Fine-Grained Few-Shot Classification (FG-FSC) in remote sensing has become a critical task, as the scarcity of high-quality annotated data severely restricts the performance of deep learning models in fine-grained classification.
Jingming Chen, Zhaoyang Huang, Feng Wang, Zixiao Wen, Jingxing Zhu, Guangyao Zhou   +5 more
doaj   +1 more source

Advanced Manufacturing of Composite‐Based Systems for Energy Applications

Advanced Materials Technologies, EarlyView.
Advanced manufacturing enables the integration of polymers, ceramics, metal oxides, and composites into architected microstructures with tailored transport pathways. By coupling material selection, manufacturing strategy, and structural design, multifunctional energy systems can simultaneously improve electrochemical performance, thermal management ...
Sri Vaishnavi Thummalapalli, Dhanush Patil, Libin Yang, M. Taylor Sobczak, Anshul Kulkarni, Xiao Sun, Arunachalam Ramanathan, Tiantian Li, Ramaraja P. Ramasamy, Jason J. Locklin, Yanyu Chen, Xianqiao Wang, Arunachala Mada Kannan, Kenan Song   +13 more
wiley   +1 more source

Experimental Evaluation of CLIP-Based Zero-Shot Classification of Imbalanced Remote Sensing Scenes: Addressing Quantity Disparities in Data

International Journal of Informatics, Information System and Computer Engineering
This paper presents a zero-shot learning framework based on Contrastive Language Image Pretraining (CLIP) for Remote Sensing Scene Classification (RSSC).
Tanvir Ahmed, Asfika Jaman Tanha, Shekh Ifteesham Iftee, Tanjoy Mahmud, Ekra MD Emadur Rahman, Hossain MD Maruf   +5 more
doaj   +1 more source

On‐Chip Photonic Neural Network Architectures

Advanced Optical Materials, EarlyView.
This review presents a comprehensive overview of on‐chip photonic neural network architectures, covering key photonic building blocks, representative network types, and emerging applications. Recent advances, implementation challenges, and future directions are examined, highlighting the potential of integrated photonics to enable ultrafast, energy ...
Seokjin Hong, Berkay Neseli, Seungyeon Cho, Seungsoo Lee, Yeonjun Kim, Seungyoon Choi, Hyo‐Hoon Park, Hamza Kurt   +7 more
wiley   +1 more source

Cross-Modal Few-Shot Learning via Siamese Similarity Networks on CLIP Embeddings for Fine-Grained Image Classification

Applied Sciences
Fine-grained image classification under few-shot learning conditions remains a significant challenge due to limited labeled data and high intra-class similarity. This paper proposes a novel cross-modal framework that integrates Contrastive Language-Image
Julius Olaniyan, Silas Formunyuy Verkijika, Ibidun C. Obagbuwa   +2 more
doaj   +1 more source

Scalable Task Planning via Large Language Models and Structured World Representations

Advanced Robotics Research, EarlyView.
This work efficiently combines graph‐based world representations with the commonsense knowledge in Large Language Models to enhance planning techniques for the large‐scale environments that modern robots will need to face. Planning methods often struggle with computational intractability when solving task‐level problems in large‐scale environments ...
Rodrigo Pérez‐Dattari, Zhaoting Li, Robert Babuška, Jens Kober, Cosimo Della Santina   +4 more
wiley   +1 more source