Results 81 to 90 of about 113,519 (298)

Blind Denoising Autoencoder [PDF]

IEEE Transactions on Neural Networks and Learning Systems, 2019
The final version accepted at IEEE Transactions on Neural Networks and Learning ...
openaire   +3 more sources

Cellpose+, a Morphological Analysis Tool for Feature Extraction of Stained Cell Images

Advanced Intelligent Discovery, EarlyView.
We introduce Cellpose plus, a morphological and geometrical analysis tool for feature extraction of stained cell images built over Cellpose, a state‐of‐the‐art cell segmentation framework. We also introduce a dataset of DAPI and FITC stained cells to which our new method is applied.
Israel A. Huaman, Fares D. E. Ghorabe, Sofya S. Chumakova, Alexandra A. Pisarenko, Alexey E. Dudaev, Tatiana G. Volova, Galina A. Ryltseva, Sviatlana A. Ulasevich, Ekaterina I. Shishatskaya, Ekaterina V. Skorb, Pavel S. Zun   +10 more
wiley   +1 more source

Improving the Accuracy of Batik Classification using Deep Convolutional Auto Encoder

Compiler
This research investigates the development of model deep convolutional autoencoders to enhance the classification of digital batik images. The dataset used was sourced from Kaggle.
Muhammad Faqih Dzulqarnain, Abdul Fadlil, Imam Riadi   +2 more
doaj   +1 more source

Feature Selection for Machine Learning‐Driven Accelerated Discovery and Optimization in Emerging Photovoltaics: A Review

Advanced Intelligent Discovery, EarlyView.
Feature selection combined with machine learning and high‐throughput experimentation enables efficient handling of high‐dimensional datasets in emerging photovoltaics. This approach accelerates material discovery, improves process optimization, and strengthens stability prediction, while overcoming challenges in data quality and model scalability to ...
Jiyun Zhang, Jiayi Tan, Qizhen Song, Tian Du, Jens Hauch, Christoph J. Brabec   +5 more
wiley   +1 more source

AI‐Enhanced Surface‐Enhanced Raman Scattering for Accurate and Sensitive Biomedical Sensing

Advanced Intelligent Discovery, EarlyView.
AI‐SERS advances spectral interpretation with greater precision and speed, enhancing molecular detection, biomedical analysis, and imaging. This review explores its essential contributions to biofluid analysis, disease identification, therapeutic agent evaluation, and high‐resolution biomedical imaging, aiding diagnostic decision‐making.
Seungki Lee, Rowoon Park, Ho Sang Jung
wiley   +1 more source

The Attention Enhanced Autoencoder for Balise Anomaly Detection in Potting Process

IEEE Access
Balise is a critical trackside component in railway systems, operating in harsh environments where silicone gel potting enhances reliability. However, the potting process is irreversible; defects lead to costly scrap and operational delays.
Ke Ye, Jingpin Jiao, Fanghua Chen, Qing Xu, Gehui Liu, Jun Wang   +5 more
doaj   +1 more source

Comparison of the Effects of Different Dimensional Reduction Algorithms on the Training Performance of Anfis (Adaptive Neuro-Fuzzy Inference System) Model

Cumhuriyet Science Journal, 2017
Adaptive Neuro-Fuzzy Inference Systems (ANFIS)is a hybrid artificial neural network (intelligence) approach that utilizes theability of artificial neural networks to learn, generalize, paralyze and toderive fuzzy logic.
Halil Arslan, Oğuz Kaynar, Emre Delibaş, Ahmet Gürkan Yüksek, Abdulkadir Şeker   +4 more
doaj   +1 more source

A Novel Approach on Deep Learning—Based Decision Support System Applying Multiple Output LSTM-Autoencoder: Focusing on Identifying Variations by PHSMs’ Effect over COVID-19 Pandemic [PDF]

, 2022
Yong‐Ju Jang, Min-Seung Kim, Chan-Ho Lee, Jihye Choi, Jeong Hee Lee, Sun-Hong Lee, Tae-Eung Sung   +6 more
openalex   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

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