Using Network Analysis and BIM to Quantify the Impact of Design for Disassembly

Art�culos similares

Cancer Detection Using a New Hybrid Method Based on Pattern Recognition in MicroRNAs Combining Particle Swarm Optimization Algorithm and Artificial Neural Network

Acceso

Sepideh Molaei, Stefano Cirillo and Giandomenico Solimando

MicroRNAs (miRNAs) play a crucial role in cancer development, but not all miRNAs are equally significant in cancer detection. Traditional methods face challenges in effectively identifying cancer-associated miRNAs due to data complexity and volume. This ... ver m�s

Revista: Big Data and Cognitive Computing

Dynamic Graph Convolutional Network-Based Prediction of the Urban Grid-Level Taxi Demand?Supply Imbalance Using GPS Trajectories

Acceso

Haiqiang Yang and Zihan Li

The objective imbalance between the taxi supply and demand exists in various areas of the city. Accurately predicting this imbalance helps taxi companies with dispatching, thereby increasing their profits and meeting the travel needs of residents. The ap... ver m�s

Revista: ISPRS International Journal of Geo-Information

Multiscale Feature Extraction by Using Convolutional Neural Network: Extraction of Objects from Multiresolution Images of Urban Areas

Acceso

Ching-Lung Fan

The emergence of deep learning-based classification methods has led to considerable advancements and remarkable performance in image recognition. This study introduces the Multiscale Feature Convolutional Neural Network (MSFCNN) for the extraction of com... ver m�s

Revista: ISPRS International Journal of Geo-Information

A Spatiotemporal Hierarchical Analysis Method for Urban Traffic Congestion Optimization Based on Calculation of Road Carrying Capacity in Spatial Grids

Acceso

Dong Jiang, Wenji Zhao, Yanhui Wang and Biyu Wan

Traffic congestion is a globally widespread problem that causes significant economic losses, delays, and environmental impacts. Monitoring traffic conditions and analyzing congestion factors are the first, challenging steps in optimizing traffic congesti... ver m�s

Revista: ISPRS International Journal of Geo-Information

Personalized Federated Learning with Adaptive Feature Extraction and Category Prediction in Non-IID Datasets

Acceso

Ying-Hsun Lai, Shin-Yeh Chen, Wen-Chi Chou, Hua-Yang Hsu and Han-Chieh Chao

Federated learning trains a neural network model using the client?s data to maintain the benefits of centralized model training while maintaining their privacy. However, if the client data are not independently and identically distributed (non-IID) becau... ver m�s

Revista: Future Internet

Using Network Analysis and BIM to Quantify the Impact of Design for Disassembly

Art�culos similares

Revistas destacadas