Results 71 to 80 of about 8,736,056 (314)

Learning Deep Belief Networks from Non-Stationary Streams [PDF]

open access: yes, 2012
18.10.13 KB. Ok to add author version to spiral from LNCS; embargo period expired. SpringerDeep learning has proven to be beneficial for complex tasks such as classifying images. However, this approach has been mostly applied to static datasets.
Pouzols, Federico Montesino   +11 more
core   +2 more sources

Deep Divergence Learning

open access: yesCoRR, 2020
Under ...
Kubra Cilingir   +2 more
openaire   +3 more sources

Emerging experimental and computational methods for studying redox‐regulated structural transitions

open access: yesFEBS Letters, EarlyView.
Redox reactions can reshape proteins and alter how they behave in cells, with important consequences for health and disease. This review explores emerging experimental and computational approaches for discovering these redox‐sensitive protein switches, revealing their structural effects, and predicting their behavior, opening new opportunities to ...
Tasneem Rass   +2 more
wiley   +1 more source

Deep Learning: From Big Data to Artificial Intelligence with R

open access: yes, 2023
Buku ini membahas tentang penerapan deep learning dan big data yang berfokus pada petunjuk praktis penggunaan berbagai macam software seperti; MXNet, PyTorch, dan Keras-TensorFlow.
Tuffery, Stephane
core  

Deep-Learning-Assisted Simultaneous Target Sensing and Super-Resolution Imaging

open access: yes, 2023
Metasurfaces have recently experienced revolutionary progress in sensing and super-resolution imaging fields, mainly due to their manipulation of electromagnetic waves on subwavelength scales.
Yue-Yi Zhang   +15 more
core   +1 more source

Experimental-analytical and digital based investigation of 3D printed sandwich sand mold used for precast structure

open access: yesCase Studies in Construction Materials
The 3D printing technique for sand mold exhibited the good response of precast concrete structure manufacturing process. The designed sandwich core structure, including solid core, diamond core, honeycomb core, pyramid core and round O core were ...
Khoa Vo Anh Pham   +4 more
doaj   +1 more source

Envisioning Answers: Unleashing Deep Learning for Visual Question Answering in Artistic Images [PDF]

open access: yesAUT Journal of Electrical Engineering
In specialized fields, the accurate answering of visual questions is crucial for practical applications, and this study focuses on improving a visual question-answering model for artistic images by utilizing a dataset with both visual and knowledge-based
Erfan Zolghadriha   +2 more
doaj   +1 more source

Prospecting the protein design landscape

open access: yesFEBS Letters, EarlyView.
This review outlines the current state of various protein design approaches. We discuss the current possibilities enabled by recently released tools, highlight future avenues to pursue in protein design, and underscore the crucial role of key databases and resources for successful protein design workflows.
Jakob R. Riccabona   +4 more
wiley   +1 more source

Deep Learning using DeepMatcher

open access: yes, 2020
This repository is a supplement resource for a research article entitled "Deep Learning Untuk Entity Matching Produk Kamera Antar Online Store Menggunakan DeepMatcher".
Adam Akbar   +2 more
core   +1 more source

Flow Enabled Target Capture Halbach‐based magnetic enrichment increases circulating tumor cell capture from blood in metastatic cancer patients

open access: yesMolecular Oncology, EarlyView.
Pair‐wise comparison of the CellSearch and FETCH enrichment technologies for circulating tumor cells (CTCs) from metastatic breast, prostate, and small cell lung cancer patients shows an increased capture of CTCs using FETCH enrichment. The clinical implementation of circulating tumor cells (CTCs) as a predictive tool for therapy efficacy in the ...
Michiel Stevens   +6 more
wiley   +1 more source

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