Results 61 to 70 of about 1,949 (251)

High‐Throughput Data Generation and Transfer Learning Enabled Microstructure‐Property Integrated Design of Nickel‐Based Powder Metallurgy Superalloy

Advanced Science, EarlyView.
An integrated transfer learning framework integrates CALPHAD simulations, diffusion‐multiple experiments, and literature data to predict long‐term microstructural stability and short‐term mechanical properties of Ni‐based powder metallurgy superalloys. Based on these model predictions, a high‐performance, low‐density alloy, USTB‐PM750, is designed from
Zixin Li, Hongtao Zhang, Zichao Peng, Yuheng Zhang, Qian Lv, Yihuan Cao, Xuqing Wang, Huadong Fu, Jianxin Xie   +8 more
wiley   +1 more source

Multibranch Collaboration and Segmented Training Network for Image Forgery Comprehensive Detection

IET Biometrics
With the rise of sophisticated image manipulation techniques, image detection forgeries have become increasingly challenging. This paper presents a novel deep learning framework, the multibranch collaboration and segmented training network (MBC-STN), for
Jing Chang, Jixiang Yang, Zuofan Gan, Lianjin Guo   +3 more
doaj   +1 more source

Difficulty‑Aware Meta‑Learning for Cross‑Domain Face Forgery Detection

Nanjing Hangkong Hangtian Daxue Xuebao
With the rapid iteration of facial forgery techniques， robust detection mechanisms that can handle unseen forgery methods are increasingly crucial. However， current approaches are primarily tailored to specific forgery techniques， posing limitations in ...
JIN Shichen, TAN Xiaoyang
doaj   +1 more source

Advances and Perspectives in Graphene‐Based Quantum Dots Enabled Neuromorphic Devices

Advanced Science, EarlyView.
Graphene‐based QDs are zero‐dimensional carbon nanomaterials with pronounced quantum confinement and tunable electronic structures. Herein, we summarize their synthesis strategies and functionalization methods, and highlight their functional roles and operating mechanisms in devices, as well as recent advances in neuromorphic electronics. We anticipate
Yulin Zhen, Wei Zeng, Zherui Zhao, JiYu Zhao, Ziyan Huang, Zhuo Chen, Kui Zhou, Guanglong Ding, Su‐Ting Han, Ye Zhou   +9 more
wiley   +1 more source

Trap Depth Modulation and Antenna Effect of Organic Ligands for Enhancing Rare‐Earth Long Persistent Luminescence

Advanced Science, EarlyView.
Different from the current research trends that mainly focus on optimizing a single color system, a universal organic–inorganic hybrid strategy is proposed, aiming to synergistically enhance the luminescent properties of red, green, and blue multi‐color inorganic long‐persistent phosphorescent materials by trap depth modulation and antenna effect of ...
Ting Tan, Nian Li, Bangmin Liu, Hao Wang, Xia Huang, Yuanjin Chen, Zhonghao Wang, Chaolong Yang   +7 more
wiley   +1 more source

Oxygen Vacancy‐Enriched Platinum Single‐Atom Nanozyme Wrapped in Nanoislands: Unlocking Catalytic Activity and Reprogramming Redox Microenvironment for Osteonecrosis Repair

Advanced Science, EarlyView.
CeO2‐x/Pt single‐atom nano‐island is constructed via low‐temperature reduction, featuring abundant oxygen vacancies and an island–sea structure. It delivers outstanding multi‐enzyme‐mimetic activity and ROS‐scavenging efficiency. Density functional theory reveals optimized electronic structures and reaction pathways.
Yang Zhu, Zehui Lv, Xuejie Cai, Penghui Wei, Dengliang Wang, Zhao Wang, Ruoying Wang, Yingjie Wang, Xingdong Yang, Yixin Bian, Jiawei Xu, Xisheng Weng, Liangfeng Wei   +12 more
wiley   +1 more source

Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design

Advanced Science, EarlyView.
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram, Mohit Chakraborty, Sai Mani Kumar Devathi, B. Pabitramohan Prusty, Rohit Batra   +4 more
wiley   +1 more source

Copy-Move Forgery Detection Techniques based on Traditional Methods in Digital Images

تحلیل مدارها، داده ها و سامانه ها, 2023
Image forgery is one of the most widely used fields in image processing, which has been widely studied and studied by researchers. There are different types of digital image forgery, copy-move forgery is one of the common examples, and it is very ...
Maryam Attaie Gahfarkhi , Azar Mahmoodzadeh   +1 more
doaj  

Femtosecond‐Laser‐Induced Physical Unclonable Random Maze Structure for Storage‐Free Encryption

Advanced Science, EarlyView.
Femtosecond‐laser‐induced gold random maze structures serve as multimodal physical unclonable functions for storage‐free encryption. Their stochastic optical, electrical, and Raman responses are generated by plasmon‐assisted Marangoni formation and converted into AES‐compatible keys without permanent secret‐key storage, offering a portable route toward
Shiru Jiang, Hongliang Li, Shengjie Ma, Sang‐Shin Lee, Lei Wang, Mengyun Hu, Heping Zeng   +6 more
wiley   +1 more source

Multi-source forgery detection method based on the fusion of color space features and frequency domain features

网络与信息安全学报
With the rapid development of artificial intelligence technology, image forgery techniques have become increasingly complex and covert, particularly in the areas of generative and image editing forgeries.
Hou Yifan, Miao Zhuang, Wang Jun, Zhang Qi, Li Yang, Wang Jiabao   +5 more
doaj