Results 71 to 80 of about 2,289 (259)

A Universal van der Waals Tunneling Injector for Monolayer CMOS

Advanced Materials, EarlyView.
A universal van der Waals injector unlocks polarity‐flexible tunneling contacts for monolayer CMOS. SnSe2, an intrinsically degenerate 2D semiconductor, establishes polarity‐specific band alignments with both WSe2 and MoS2 channels, enabling steep switching, high on/off ratios, and a unified route to low‐power 2D logic.
Hanbin Cho, Jing Huang, Seonguk Yang, Subin Im, Sangwoo Park, Jeongin Yeo, Sungyeon Kim, Gilhwan Do, Wenxuan Zhu, Soobeom Shin, Jongwon Lee, Yongjoon Shin, Do‐Sun Lee, Hu Young Jeong, Tae‐Eon Park, Jun Kang, Kyungmin Ko, Joonki Suh   +17 more
wiley   +1 more source

Domain-Specific Image Captioning [PDF]

Proceedings of the Eighteenth Conference on Computational Natural Language Learning, 2014
We present a data-driven framework for image caption generation which incorporates visual and textual features with varying degrees of spatial structure. We propose the task of domain-specific image captioning, where many relevant visual details cannot be captured by off-the-shelf general-domain entity detectors.
Rebecca Mason, Eugene Charniak
openaire   +1 more source

Enhancing Performance and Reliability of Hf1‐xZrxO2 Morphotropic Phase Boundary Films via Nanolaminate Structuring and Microwave Annealing

Advanced Materials Technologies, EarlyView.
Hf–Zr–O‐based morphotropic phase boundary (MPB) thin films often suffer from limited endurance and poor uniformity due to intrinsic phase instability. This work proposes a nanolaminate architecture that spatially separates competing phases, stabilizes phase formation, and suppresses wake‐up‐induced degradation.
Hojung Jang, Hyunsang Hwang
wiley   +1 more source

Captioning Ultrasound Images Automatically

, 2019
We describe an automatic natural language processing (NLP)-based image captioning method to describe fetal ultrasound video content by modelling the vocabulary commonly used by sonographers and sonologists. The generated captions are similar to the words spoken by a sonographer when describing the scan experience in terms of visual content and ...
Alsharid, M, H, Sharma., Drukker, L, Chatelain, P, Papageorghiou, AT, Noble, JA   +5 more
openaire   +4 more sources

Stack-Captioning: Coarse-to-Fine Learning for Image Captioning

Proceedings of the AAAI Conference on Artificial Intelligence, 2018
The existing image captioning approaches typically train a one-stage sentence decoder, which is difficult to generate rich fine-grained descriptions. On the other hand, multi-stage image caption model is hard to train due to the vanishing gradient problem.
Jiuxiang Gu, Jianfei Cai 0001, Gang Wang 0012, Tsuhan Chen   +3 more
openaire   +2 more sources

Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback

Advanced Robotics Research, EarlyView.
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, Ali Umut Kaypak, Prashanth Krishnamurthy, Ramesh Karri, Farshad Khorrami   +4 more
wiley   +1 more source

Parallel Image Captioning Using 2D Masked Convolution

Applied Sciences, 2019
Automatically generating a novel description of an image is a challenging and important problem that brings together advanced research in both computer vision and natural language processing.
Chanrith Poleak, Jangwoo Kwon
doaj   +1 more source

Intelligent Sky Guardians (InSkyGuard): An Aerial Robotic Swarm for Autonomous Detection and Entrapment of Rogue Multirotors

Advanced Robotics Research, EarlyView.
Intelligent Sky Guardians (InSkyGuard) is introduced as a four‐drone swarm that autonomously detects, tracks, and safely captures rogue drones using a coordinated net system. Computer vision and leader–follower control architecture enable synchronized enclosure, while integrated failsafes enhance system reliability. Validated through closed‐environment
Joshua Hastings, Levanya Dewanarayana, Iline Shaju, Haider Al‐Wizni, Sampson Marquis, Weicheng Huang, Pooya Sareh   +6 more
wiley   +1 more source

Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges

Advanced Robotics Research, EarlyView.
This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder, Jelizaveta Konstantinova, Graham Deacon, Kaspar Althoefer   +3 more
wiley   +1 more source

Time‐Multiplexed Organic Electrochemical Transistor for Saliva‐Based Rapid Detection of Viral Proteins

Advanced Science, EarlyView.
A time‐multiplexed nanobody‐functionalized organic electrochemical transistor enables rapid and sensitive detection of three respiratory viral proteins from saliva. Sequentially addressed multi‐gate electrodes on a shared channel achieve around 1 fm detection within 15 min without sample preprocessing. Clinical validation demonstrates high specificity,
Tianrui Chang, Yuxiang Ren, Shofarul Wustoni, Atheer Alqatari, Adel Hama, Yazhou Wang, Long Chen, Jessica Parrado Agudelo, Luca Salvigni, Keying Guo, Ashraf Dada, Stefan T. Arold, Raik Grünberg, Sahika Inal   +13 more
wiley   +1 more source