Results 101 to 110 of about 2,669,186 (245)

Application of mathematical morphology operation with memristor-based computation-in-memory architecture for detecting manufacturing defects. [PDF]

Fundam Res, 2022
Zhou Y, Gao B, Zhang Q, Yao P, Geng Y, Li X, Sun W, Zhao M, Xi Y, Tang J, Qian H, Wu H.   +11 more
europepmc   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

MORPHOLOGICAL IMAGE PROCESSİNG WITH FUZZY LOGIC

Havacılık ve Uzay Teknolojileri Dergisi, 2006
In this paper, fuzzy morpuhological image processing is explained and reviewed. Based on the mathematical morphology rules, fuzzy sets and fuzzy logic theorem fuzzy morphology operations are defined.
Alper Pahsa
doaj  

Analysis of Power System Flexibility Regulation Adequacy Based on Mathematical Morphology

Zhongguo dianli
As the proportion of renewable energy in the power system increases, the demand for flexible regulation in the power system also increases. Whether the flexibility resources in the system can meet the regulation demand has become an urgent problem to be ...
Feng ZHANG, Hengjian FAN, Hui DENG, Le FANG, Ziqing ZHOU, Zhiyi LI   +5 more
doaj   +1 more source

Brain extraction using the watershed transform from markers

Frontiers in Neuroinformatics, 2013
Isolation of the brain from other tissue types in magnetic resonance(MR) images is an important step in many types of neuro-imagingresearch using both humans and animal subjects. The importance ofbrain extraction is well appreciated - numerous approaches
Richard eBeare, Richard eBeare, Jian eChen, Jian eChen, Christopher L Adamson, Timothy eSilk, Deanne K Thompson, Deanne K Thompson, Deanne K Thompson, Joseph Y M Yang, Joseph Y M Yang, Vicki A Anderson, Marc L Seal, Amanda G Wood   +13 more
doaj   +1 more source

Semantic Cardiac Segmentation in Chest CT Images Using K-Means Clustering and the Mathematical Morphology Method. [PDF]

Sensors (Basel), 2021
Rim B, Lee S, Lee A, Gil HW, Hong M.
europepmc   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Automatic Segmentation of the Retinal Nerve Fiber Layer by Means of Mathematical Morphology and Deformable Models in 2D Optical Coherence Tomography Imaging. [PDF]

Sensors (Basel), 2021
Berenguer-Vidal R, Verdú-Monedero R, Morales-Sánchez J, Sellés-Navarro I, Del Amor R, García G, Naranjo V.   +6 more
europepmc   +1 more source

“Smelltronics”—From Gas to Smell Sensing

Advanced Materials, EarlyView.
The emerging field of smelltronics, encompassing sensing technologies for complex volatile organic compounds, holds significant potential for extracting valuable chemical information. It facilitates the noninvasive, real‐time monitoring of humans, food, and the environment.
Takeshi Ono, Tsunaki Takahashi, Jiangyang Liu, Haruka Honda, Zeng Jing, Wataru Tanaka, Takuro Hosomi, Takeshi Yanagida   +7 more
wiley   +1 more source

Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities

Advanced Materials, EarlyView.
This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen, Zhanxi Fan, Jingjie Ge, Qiyuan He, Zhuangchai Lai, Jiawei Liu, Chaoliang Tan, Hua Zhang   +7 more
wiley   +1 more source