Results 101 to 110 of about 112,252 (298)
Deteksi Penyakit Diabetes dengan Metode Fuzzy C-means Clustering dan K-means Clustering [PDF]
Diabetes adalah penyakit yang terjadi ketika kandungan glukosa di dalam darah tinggi. Tes glukosa yang menghasilkan keakuratan tinggi harus dilakukan beberapa kali untuk mendeteksi diabetes di dalam tubuh.
Herwindiati, D. E. (Dyah) +2 more
core
This study uncovers a new allosteric site in the Josephin domain of ataxin‐3 targeted by the molecular tweezer CLR01, which modulates protein aggregation, improves synaptic function in neuronal cells, and delays motor dysfunction in animal models.
Alexandra Silva +28 more
wiley +1 more source
Automatic Receiver Function Picking Using Fuzzy C‐Means Clustering
Computing receiver function (RF) from teleseismic records can be affected by noise present in the seismic waveforms, and therefore, visual inspection is still preferred for quality control purposes.
Neng Xiong +4 more
doaj +1 more source
ANALYSIS OF CLUSTERING METHODS ON THE CAUSAL FACTORS OF DIABETES MELLITUS WITH FUZZY C MEANS METHOD
This study focuses on the effectiveness of clustering algorithms, namely Fuzzy C-Means by using k-Means algorithm as a supporting method, in the factors that cause Diabetes Mellitus.
Afdhal Reshanda Adiwidyatma +2 more
doaj +1 more source
Nanoscale Mapping of the Subcellular Glycosylation Landscape
Using multiplexed super‐resolution imaging with fluorophore‐labeled lectins, this study reports intracellular glycosylation at the nanoscale across organelles and synaptic specializations. Extending glycan analysis beyond the cell surface, Glyco‐STORM reveals distinct glycosylation nanodomains in the ER, Golgi, lysosomes, and synaptic sites.
Helene Gregoria Schroeter +4 more
wiley +1 more source
Single-Valued Neutrosophic Clustering Algorithm Based on Tsallis Entropy Maximization
Data clustering is an important field in pattern recognition and machine learning. Fuzzy c-means is considered as a useful tool in data clustering. The neutrosophic set, which is an extension of the fuzzy set, has received extensive attention in solving ...
Qiaoyan Li +3 more
doaj +1 more source
CellPolaris decodes how transcription factors guide cell fate by building gene regulatory networks from transcriptomic data using transfer learning. It generates tissue‐ and cell‐type‐specific networks, identifies master regulators in cell state transitions, and simulates TF perturbations in developmental processes.
Guihai Feng +27 more
wiley +1 more source
Hierarchical Image Segmentation [PDF]
V mnoha aplikacích počítačového vidění je segmentace obrazu jedním z nekritičtějších kroků jeho analýzy. V této práci je prezentována segmentační metoda založená na shlukovacích algoritmech fuzzy c-means a k-means.
Staněk, Stanislav
core
Hippocampal single ‐nucleus transcriptomes and chromatin accessibility after mild traumatic brain injury reveal dentate granule neuron vulnerability driven by ferroptosis. The c‐Jun–Tmsb4x–Slc2a2 axis modulates lipid peroxidation and iron dysregulation.
Manrui Li +13 more
wiley +1 more source
Owing to the increase and the complexity of data caused by the uncertain environment, the water environment monitoring system in Three Gorges Reservoir Area faces much pressure in data handling.
Yuanchang Zhong +4 more
doaj +1 more source

