Results 81 to 90 of about 146,509 (347)
IMPLEMENTASI FUZZY INFERENCE SYSTEM TSUKAMOTO UNTUK PENENTUAN TOPIK TUGAS AKHIR
Pemilihan topik tugas akhir sangat penting dikarenakan akan berpengaruh pada kelulusan mahasiswa. Pemilihan topik tugas akhir akan disesuaikan dengan kompetensi mahasiswa, tujuannya agar mahasiswa dapat mengerjakan tugas akhir dengan tepat waktu dan ...
Danang Mahendra, Noor Azizah
doaj +1 more source
Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI
ABSTRACT 2D cine phase contrast (CPC) MRI provides quantitative information on blood velocity and flow within the human vasculature. However, data acquisition is time‐consuming, motivating the reconstruction of the velocity field from undersampled measurements to reduce scan times. In this work, neural fields are proposed as a continuous spatiotemporal
Pablo Arratia +7 more
wiley +1 more source
Enhanced distance protection for HVDC lines using adaptive neuro-fuzzy inference systems.
Accuracy and speed of fault detection are crucial to the performance of DC transmission systems. In this paper, a novel approach is proposed for fault detection, classification, and localization in high-voltage DC transmission lines (HVDC-TLs).
A M Hamada +7 more
doaj +1 more source
NGOs and the Foreign donations [PDF]
There has been possibility on the new type of corruption done by the NGOs by using the access on the foreign aid in Indonesia. In the other hand, the role of the NGOs in Indonesia is still important in order to gain the social empowerment for the sake of
Hokky Situngkir, Rio Siagian
core
Learnable Diffusion Framework for Mouse V1 Neural Decoding
We introduce Sensorium‐Viz, a diffusion‐based framework for reconstructing high‐fidelity visual stimuli from mouse primary visual cortex activity. By integrating a novel spatial embedding module with a Diffusion Transformer (DiT) and a synthetic‐response augmentation strategy, our model outperforms state‐of‐the‐art fMRI‐based baselines, enabling robust
Kaiwen Deng +2 more
wiley +1 more source
Design Research of an Adaptive-Fuzzy-Neural Controller
The regular fuzzy system can not change the expert’s experience into inference rule storage and is short of effective method to improve the membership function.
Peifeng Niu, Guoqiang Li, Mizhe Zhang
doaj +1 more source
Analisis Perbandingan Metode Fuzzy Inferensi Sistem Tsukamoto dan Mamdani dalam Penentuan Estimasi Jumlah Produksi Gula [PDF]
PT Madu Baru Yogyakarta s a company that produces sugar. Many factors must be considered in determining the mount o f production generated annually. For that, in determining the mount of production per year required and analysis of decision support ...
Hadiyanti, W. A. (Widya) +2 more
core
Nanoscale Spatial Organization of ARC High‐ and Low‐Order Assemblies at Excitatory Synapses
ARC (Activity‐Regulated Cytoskeleton‐Associated protein) mediates synaptic plasticity by forming nanoscale assemblies in neurons. Using super‐resolution microscopy and time‐resolved anisotropy with targeted tagging, the study reveals low‐order ARC assemblies at synapses colocalizing with AMPARs, semi‐circular structures at endocytic zones, and 60–80 nm
Martina Damenti +13 more
wiley +1 more source
In this research work, a fuzzy inference system (FIS) and an adaptive neuro-fuzzy inference system (ANFIS) were developed to classify apple total quality based on some fruit quality properties, i.e., fruit mass, flesh firmness, soluble solids content and skin color.
Elpiniki I. Papageorgiou +3 more
openaire +2 more sources
SpatialESD: Spatial Ensemble Domain Detection in Spatial Transcriptomics
ABSTRACT Spatial transcriptomics (ST) measures gene expression while preserving spatial context within tissues. One of the key tasks in ST analysis is spatial domain detection, which remains challenging due to the complex structure of ST data and the varying performance of individual clustering methods. To address this, we propose SpatialESD, a Spatial
Hongyan Cao +11 more
wiley +1 more source

