Results 61 to 70 of about 66,224 (345)

Beyond the Edge: Charge‐Transfer Excitons in Organic Donor‐Acceptor Cocrystals

Advanced Functional Materials, EarlyView.
Complex excitonic landscapes in acene–perfluoroacene cocrystals are unveiled by polarization‐resolved optical spectroscopy and many‐body theory. This systematic study of a prototypical model system for weakly interacting donor–acceptor compounds challenges common views of charge‐transfer excitons, providing a refined conceptual framework for ...
Sebastian Anhäuser, Ana M. Valencia, Sergei I. Ivlev, Marc Zeplichal, Andreas Terfort, Caterina Cocchi, Gregor Witte   +6 more
wiley   +1 more source

Optimasi Cluster Pada Fuzzy C-Means Menggunakan Algoritma Genetika Untuk Menentukan Nilai Akhir

IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2013
Abstrak Nilai akhir mahasiswa dapat ditentukan dengan berbagai cara, beberapa diantaranya menggunakan range nilai, standart deviasi, dll. Dalam penelitian ini akan ditawarkan sebuah metode baru untuk menentukan nilai akhir mahasiswa menggunakan ...
Putri Elfa Mas`udia, Retantyo Wardoyo
doaj   +1 more source

Statistically Resolving Thickness‐Dependent Electrical Characteristics in Multilayer‐MoS2 Transistors

Advanced Functional Materials, EarlyView.
A large number of MoS2 flakes were screened to obtain high‐quality flakes based on optical intensities in R, G, and B channel images. The flakes were classified from Level 1 to 6 based on optical intensities in the R, G, and B channel images. Low‐quality flake exhibited wrinkled, folded, or overlapped features, while high‐quality displayed a neat ...
Sanghyun Lee, Sumin Hong, Minho Park, Seongju Kim, Sanghoon Baek, Seonguk Yang, Chang‐Soo Lee, Sang‐Hoon Bae, Joonki Suh, Yongwoo Lee, Haksoon Jung, Jimin Kwon   +11 more
wiley   +1 more source

Fuzzy c-means clustering with prior biological knowledge

Journal of Biomedical Informatics, 2009
We propose a novel semi-supervised clustering method called GO Fuzzy c-means, which enables the simultaneous use of biological knowledge and gene expression data in a probabilistic clustering algorithm. Our method is based on the fuzzy c-means clustering algorithm and utilizes the Gene Ontology annotations as prior knowledge to guide the process of ...
Tari, Luis, Baral, Chitta, Kim, Seungchan   +2 more
openaire   +2 more sources

A Physiological Microfluidic Blood–Brain‐Barrier Model for In Vitro Study of Nanoparticle Trafficking and Accumulation

Advanced Healthcare Materials, EarlyView.
A human microfluidic blood‐brain barrier (mBBB) model enables spatially resolved comparison of nanoparticle trafficking. Extracellular vesicles (EVs), liposomes, and nanoplastics exhibit distinct transport and disruption behaviors, revealing that membrane composition and uptake pathways govern BBB interaction.
Bryan B. Nguyen, Neona M. Lowe, Sophia Kellogg, Kuan‐Wei Huang, Hannah O'Toole, Elizabeth J. Hale, Venktesh S. Shirure, Bhupinder S. Shergill, Steven C. George, Randy P. Carney   +9 more
wiley   +1 more source

Image Compression Based on Artificial Intelligent Techniques [PDF]

Al-Rafidain Journal of Computer Sciences and Mathematics, 2009
This research present four methods to compress digital images using clustering based on artificial intelligent techniques that include neural network, fuzzy logic and hybrid between them.
Shahbaa Khaleel, Baydaa Khaleel, Alaa khaleel   +2 more
doaj   +1 more source

Two Material Properties from One Wavelength‐Orthogonal Photoresin Enabled by a Monochromatic Laser Integrated Stereolithographic Apparatus (Mono LISA)

Advanced Materials, Volume 37, Issue 13, April 2, 2025.
A single object with dual properties – degradable and non‐degradable – is fabricated in a single print simply by switching the printing colors. The advanced multi‐material printing is enabled by the combination of a fully wavelength‐orthogonal photoresin and a monochromatic tunable laser printer, paving the way for precise multi‐material ...
Xingyu Wu, Katharina Ehrmann, Ching Thye Gan, Benjamin Leuschel, Fred Pashley‐Johnson, Christopher Barner‐Kowollik   +5 more
wiley   +1 more source

Optimasi Fuzzy C-Means dan K-Means Menggunakan Algoritma Genetika untuk Pengklasteran Dataset Diabetic Retinopathy

Jurnal Teknologi Informasi dan Ilmu Komputer, 2020
Diabetic Retinopathy adalah komplikasi dari diabetes yang mengakibatkan gangguan pada retina mata. Gangguan tersebut dapat diketahui dengan deteksi awal melalui data yang diekstraksi dari citra mata. Deteksi awal dapat dilakukan dengan menggunakan metode
Muhammad Ezar Al Rivan, Steven Steven, William Tanzil   +2 more
doaj   +1 more source

Automatic Human Brain Tumor Detection in MRI Image Using Template-Based K Means and Improved Fuzzy C Means Clustering Algorithm

Big Data and Cognitive Computing, 2019
In recent decades, human brain tumor detection has become one of the most challenging issues in medical science. In this paper, we propose a model that includes the template-based K means and improved fuzzy C means (TKFCM) algorithm for detecting human ...
Md. Shahariar Alam, M. Rahman, Mohammad Amazad Hossain, Md. Khairul Islam, Kazi Mowdud Ahmed, K. T. Ahmed, B. C. Singh, M. Miah   +7 more
semanticscholar   +1 more source

Fuzzy c-means clustering using Jeffreys-divergence based similarity measure

Applied Soft Computing, 2020
In clustering, similarity measure has been one of the major factors for discovering the natural grouping of a given dataset by identifying hidden patterns.
Ayan Seal, Aditya Karlekar, O. Krejcar, C. Gonzalo-Martín   +3 more
semanticscholar   +1 more source