Results 71 to 80 of about 205,842 (264)

Strengthening Dynamic Convolution With Attention and Residual Connection in Kernel Space

open access: yesIEEE Access
In this paper, we propose Dynamic Residual Convolution (DRConv), an efficient method for computing input-specific local features while addressing the limitations of dynamic convolution.
Seokju Yun, Youngmin Ro
doaj   +1 more source

Frontier Advances of Emerging High‐Entropy Anodes in Alkali Metal‐Ion Batteries

open access: yesAdvanced Functional Materials, EarlyView.
Recent advances in microscopic morphology control of high‐entropy anode materials for alkali metal‐ion batteries. Abstract With the growing demand for sustainable energy, portable energy storage systems have become increasingly critical. Among them, the development of rechargeable batteries is primarily driven by breakthroughs in electrode materials ...
Liang Du   +14 more
wiley   +1 more source

GroupLoRA: Enhancing Rank Effectiveness Through Group-Wise Decomposition for Low-Rank Adaptation

open access: yesIEEE Access
The rapid advancement of Large Language Models (LLMs) and Large Vision Models (LVMs) has achieved breakthrough performance but has also created significant deployment challenges due to their massive scale, often exceeding 100 billion parameters ...
Jaesung Jun, Youngmin Ro
doaj   +1 more source

Self‐Powered Permeable Electronic Dressing for Exudate Management, Electrostimulation and Drug Delivery in Chronic Wound Healing

open access: yesAdvanced Functional Materials, EarlyView.
This study develops a self‐powered permeable electronic dressing (SPED) that synergistically integrates exudate management, electrical stimulation, and on‐demand drug delivery. The dressing effectively absorbs exudate while demonstrating potent antibacterial activity and accelerated tissue regeneration in diabetic mouse models, thereby promoting ...
Jiaheng Liang   +12 more
wiley   +1 more source

Machine intelligence [PDF]

open access: yesNature, 2015
Tanguy Chouard, Liesbeth Venema
openaire   +1 more source

Electrocatalytic Reduction of CO2 to Ethylene: Catalyst Design and Synchrotron‐Based Characterizations

open access: yesAdvanced Functional Materials, EarlyView.
This review evaluates strategies for electrochemical CO2 reduction to ethylene, focusing on copper‐based catalyst design and microenvironment modulation to achieve industrial‐grade performance. By leveraging operando synchrotron‐based characterizations, we provide a multiscale understanding of dynamic structural transformations and key reaction ...
Meng Zhang, Zuolong Chen, Yimin A. Wu
wiley   +1 more source

I-MPN: inductive message passing network for efficient human-in-the-loop annotation of mobile eye tracking data

open access: yesScientific Reports
Comprehending how humans process visual information in dynamic settings is crucial for psychology and designing user-centered interactions. While mobile eye-tracking systems combining egocentric video and gaze signals can offer valuable insights, manual ...
Hoang H. Le   +7 more
doaj   +1 more source

Indoor Multidimensional Reconstruction Based on Maximal Cliques

open access: yesMathematics
Three-dimensional reconstruction is an essential skill for robots to achieve complex operation tasks, including moving and grasping. Applying deep learning models to obtain stereoscopic scene information, accompanied by algorithms such as target ...
Yongtong Zhu   +4 more
doaj   +1 more source

Actuating and Sensing Composites of Liquid Crystal Elastomers and Poly(ionic liquid)s

open access: yesAdvanced Functional Materials, EarlyView.
Ionic conductive, mechanically tough, flexible, and stretchable filaments of a composite material comprising a liquid crystal elastomer and a poly(ionic liquid) are produced through 3D printing, which exhibit large actuation strain under stimulation and electrical resistance variation in response to deformation or environmental condition changes. Their
Zeping Liu   +6 more
wiley   +1 more source

Artificial Intelligence as the Next Visionary in Liquid Crystal Research

open access: yesAdvanced Functional Materials, EarlyView.
The functions of AI in the research laboratory are becoming increasingly sophisticated, allowing the entire process of hypothesis formulation, material design, synthesis, experimental design, and reiterative testing to be automated. In our work, we conceive how the incorporation of AI in the laboratory environment will transform the role and ...
Mert O. Astam   +2 more
wiley   +1 more source

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