Results 131 to 140 of about 4,404,768 (300)

Interactive Spatial-Frequency Fusion Mamba for Multi-Modal Image Fusion

IEEE Transactions on Image Processing
This work is accepted by IEEE Transactions on Image Processing.
Yixin Zhu, Long Lv, Pingping Zhang, Xuehu Liu, Tongdan Tang, Feng Tian, Weibing Sun, Huchuan Lu   +7 more
openaire   +4 more sources

Emerging Post‐CMOS Hardware Neurons for Brain‐Inspired Computing: Devices, Circuits, and System Integration

Advanced Functional Materials, EarlyView.
The physical realization of artificial neurons is a critical challenge for energy‐efficient neuromorphic computing. This review presents a comprehensive analysis of the evolution of artificial neuron implementations from conventional CMOS to emerging post‐CMOS technologies.
Kannan Udaya Mohanan, Hocheon Yoo, Benoît H. Lessard, Ioannis Kymissis, Chang‐Hyun Kim   +4 more
wiley   +1 more source

Measuring Similarity of Dual-Modal Academic Data Based on Multi-Fusion Representation Learning

IEEE Access
Nowadays, academic materials such as articles, patents, lecture notes, and observation records often use both texts and images (i.e., dual-modal data) to illustrate scientific issues.
Li Zhang, Qiang Gao, Ming Liu, Zepeng Gu, Bo Lang   +4 more
doaj   +1 more source

Reservoir‐Driven Neuromorphic Computing Based on Composite Rare‐Earth/Transition Metal Oxide Memristor

Advanced Functional Materials, EarlyView.
A defect‐engineered Ag/Gd2O3:Nb2O5/Pt rare earth composite oxide memristor enables stable multilevel reservoir states through pulse driven conductance modulation. Experimentally measured device responses are incorporated into a device aware reservoir computing framework for CIFAR‐100 image classification, highlighting the potential of rare earth ...
Hammad Ghazanfar, Haider Abbas, Muhammad Rabeel, Honggyun Kim, Ghulam Dastgeer, Muhammad Nasim, Furqan Zahoor, Yawar Abbas, Waqas Ahmad, Deok‐kee Kim   +9 more
wiley   +1 more source

AM-Bi-LSTM: Adaptive Multi-Modal Bi-LSTM for Sequential Recommendation

IEEE Access
Conventional methods for the early fusion of multi-modal features cannot recognize the relevant modality corresponding to the demand of each user in sequential recommendation.
Kazuma Ohtomo, Ryosuke Harakawa, Masaki Iisaka, Masahiro Iwahashi   +3 more
doaj   +1 more source

Tetracyclic π‐Extended Multi‐Resonant TADF Emitters for Green PSF‐OLEDs With 37.7% EQE and BT.2020‐Compatible Top‐Emitting Devices

Advanced Functional Materials, EarlyView.
Ultra‐narrow green multi‐resonance thermally activated delayed fluorescence emitters have been developed by linear π‐extension strategy using tetracyclic naphtho[2,3‐b]benzofuran unit. The resulting phosphorescence‐sensitized OLEDs achieve a maximum external quantum efficiency of 37.7% in the bottom‐emitting architecture, while the complementary top ...
Eo Jin Jeon, Truong Thi Thuy, Nikita Abitkar, Paramasivam Palanisamy, Jiheon Kim, Myungsun Sim, Athithan Maheshwaran, Jang Hyuk Kwon   +7 more
wiley   +1 more source

Learnable Expansion of Graph Operators for Multi-Modal Feature Fusion

In computer vision tasks, features often come from diverse representations, domains (e.g., indoor and outdoor), and modalities (e.g., text, images, and videos).
Koniusz, Piotr, Wang, Lei, Zhu, Liyun, Ding, Dexuan, Gedeon, Tom   +4 more
core  

VRCMC: a semi-supervised method for multi-modal entity alignment with visual refinement and cross-modal calibration

Journal of King Saud University: Computer and Information Sciences
The goal of multi-modal entity alignment (MMEA) is to automatically discover entities across different multi-modal knowledge graphs (MMKGs) that refer to the same real-world object.
Xinchen Shi, Bin Li, Xiaowei Zhang
doaj   +1 more source

Modal Analysis of Light Propagation, Polarization and Diffraction by Cholesteric Liquid Crystal Layers

Advanced Functional Materials, EarlyView.
The analysis of optical eigenmodes in chiral liquid crystal with perpendicular or tilted helical axis, and their correspondence with the external medium, leads to an intuitive understanding of the angle and wavelength dependency of transmissive and reflective diffraction.
Ke Xu, Pouya Nosratkhah, Le Zhou, Shengzhu Yi, Giorgio Manzoni, Kristiaan Neyts   +5 more
wiley   +1 more source

MDC-RHT: Multi-Modal Medical Image Fusion via Multi-Dimensional Dynamic Convolution and Residual Hybrid Transformer

Sensors
The fusion of multi-modal medical images has great significance for comprehensive diagnosis and treatment. However, the large differences between the various modalities of medical images make multi-modal medical image fusion a great challenge. This paper
Wenqing Wang, Ji He, Han Liu, Wei Yuan
doaj   +1 more source