Results 71 to 80 of about 75,818 (178)

Deep-Learning Approach for an Analysis of Real-Estate Prices and Transactions

IEEE Access
Research on the study of houses, condominiums and buildings in Taiwan’s metropolitan areas continues to be an important area of research. In real estate forecasting and analysis, methods such as statistical analysis and questionnaire data ...
Cheng-Hong Yang, Borcy Lee, Yu-Da Lin
doaj   +1 more source

Synthesizing Time-Series Gene Expression Data to Enhance Network Inference Performance Using Autoencoder

Applied Sciences
It is a challenge to infer a gene regulatory network from time-series gene expression data in the systems biology field. A lack of gene expression data samples is a factor limiting the performance of the inference methods.
Cao-Tuan Anh, Yung-Keun Kwon
doaj   +1 more source

A Scalable Hybrid Autoencoder–Extreme Learning Machine Framework for Adaptive Intrusion Detection in High-Dimensional Networks

Future Internet
The rapid expansion of network environments has introduced significant cybersecurity challenges, particularly in handling high-dimensional traffic and detecting sophisticated threats.
Anubhav Kumar, Rajamani Radhakrishnan, Mani Sumithra, Prabu Kaliyaperumal, Balamurugan Balusamy, Francesco Benedetto   +5 more
doaj   +1 more source

Enhancing Visitor Forecasting with Target-Concatenated Autoencoder and Ensemble Learning

Machine Learning and Knowledge Extraction
Accurate forecasting of inbound visitor numbers is crucial for effective planning and resource allocation in the tourism industry. Preceding forecasting algorithms primarily focused on time series analysis, often overlooking influential factors such as ...
Ray-I Chang, Chih-Yung Tsai, Yu-Wei Chang   +2 more
doaj   +1 more source

Federated Learning-Based Service Caching in Multi-Access Edge Computing System

Applied Sciences
Multi-access edge computing (MEC) brings computations closer to mobile users, thereby decreasing service latency and providing location-aware services.
Tuan Phong Tran, Anh Hung Ngoc Tran, Thuan Minh Nguyen, Myungsik Yoo   +3 more
doaj   +1 more source

Quantum circuit autoencoder

Physical Review A
13 pages, 7 ...
Jun Wu, Hao Fu, Mingzheng Zhu, Haiyue Zhang, Wei Xie, Xiang-Yang Li   +5 more
openaire   +2 more sources

Poisson Variational Autoencoder

Advances in Neural Information Processing Systems 37
Published as a NeurIPS 2024 Spotlight paper (https://openreview.net/forum?id=ektPEcqGLb)
Vafaii, Hadi, Galor, Dekel, Yates, Jacob L.   +2 more
openaire   +3 more sources

Representation Learning of Multi-Spectral Earth Observation Time Series and Evaluation for Crop Type Classification

Remote Sensing
Remote sensing (RS) spectral time series provide a substantial source of information for the regular and cost-efficient monitoring of the Earth’s surface. Important monitoring tasks include land use and land cover classification, change detection, forest
Andrea González-Ramírez, Clement Atzberger, Deni Torres-Roman, Josué López   +3 more
doaj   +1 more source

A Hybrid Framework for Red Blood Cell Labeling Using Elliptical Fitting, Autoencoding, and Data Augmentation

Journal of Imaging
This study aimed to develop a local dataset of abnormal RBC morphology from confirmed cases of anemia and thalassemia in Thailand, providing a foundation for medical image analysis and future AI-assisted diagnostics.
Bundasak Angmanee, Surasak Wanram, Amorn Thedsakhulwong   +2 more
doaj   +1 more source

Supervised and unsupervised learning of -dimensional even-offspring branching annihilating random walks

Machine Learning: Science and Technology
Machine learning (ML) of phase transitions (PTs) has gradually become an effective approach that enables us to explore the nature of various PTs more promptly in equilibrium and nonequilibrium systems.
Yanyang Wang, Wei Li, Feiyi Liu, Jianmin Shen   +3 more
doaj   +1 more source