Results 141 to 150 of about 66,224 (345)

Entropy Weighting Fuzzy Local Information C- means (EWFLICM) Clustering Approach for Proficient Customer Behaviour Mining in Telecom Industry

, 2020
Praseeda C.K.
openalex   +1 more source

Multiresolution-Based Rough Fuzzy Possibilistic C-Means Clustering Method for Land Cover Change Detection [PDF]

, 2022
Tong Xiao, Yiliang Wan, Jianjun Chen, Wenzhong Shi, Jianxin Qin, Deping Li   +5 more
openalex   +1 more source

A Solution for Exosome‐Based Analysis: Surface‐Enhanced Raman Spectroscopy and Artificial Intelligence

Advanced Intelligent Discovery, EarlyView.
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz, Zakarya Al‐Shaebi, Omer Aydin   +2 more
wiley   +1 more source

Mature pomegranate recognition methods in natural environments using machine vision

Ciência Rural
: The use of machine vision to recognize mature pomegranates in natural environments is of major significance in improving the applicability and work efficiency of picking robots.
Xiangxiao Lei, Honglin Ouyang, Lijuan Xu
doaj   +1 more source

Deep Learning Prediction of Surface Roughness in Multi‐Stage Microneedle Fabrication: A Long Short‐Term Memory‐Recurrent Neural Network Approach

Advanced Intelligent Discovery, EarlyView.
A sequential deep learning framework is developed to model surface roughness progression in multi‐stage microneedle fabrication. Using real‐world experimental data from 3D printing, molding, and casting stages, an long short‐term memory‐based recurrent neural network captures the cumulative influence of geometric parameters and intermediate outputs ...
Abdollah Ahmadpour, Sara Soltanabadi Farshi, Tuanna Ozcan, Amir Mohammad Ketabchi, Alper Kiraz, Savas Tasoglu   +5 more
wiley   +1 more source

Mechanical Fault Diagnosis Method Based on LMD Shannon Entropy and Improved Fuzzy C-means Clustering

, 2017
Shaojiang Dong, Xiangyang Xu, Jiayuan Luo   +2 more
openalex   +1 more source

Cluster Analysis on Dengue Incidence and Weather Data Using K-Medoids and Fuzzy C-Means Clustering Algorithms (Case Study: Spread of Dengue in the DKI Jakarta Province)

, 2022
Cindy Cindy, Cynthia Cynthia, Valentino Vito, Devvi Sarwinda, B. D. Handari, Gatot Fatwanto Hertono   +5 more
openalex   +2 more sources

CrossMatAgent: AI‐Assisted Design of Manufacturable Metamaterial Patterns via Multi‐Agent Generative Framework

Advanced Intelligent Discovery, EarlyView.
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian, Martin Taylor Sobczak, Dhanush Patil, Jixin Hou, Lin Pang, Arunachalam Ramanathan, Libin Yang, Xianyan Chen, Yuval Golan, Xiaoming Zhai, Hongyue Sun, Kenan Song, Xianqiao Wang   +12 more
wiley   +1 more source

Brain Stroke Segmentation using Fuzzy C-Means Clustering

, 2016
S Keerthana, K. Sathiyakumari
openalex   +1 more source

Adaptive neighbor constrained deviation sparse variant fuzzy c-means clustering for brain MRI of AD subject

, 2021
Sukanta Ghosh, Amlan Pratim Hazarika, Abhijit Chandra, Rajani K. Mudi   +3 more
openalex   +1 more source