Results 91 to 100 of about 10,369,018 (353)

Improved multiscale attention based deep learning approach for automated sugarcane leaf disease detection using BSRI data

Scientific Reports
Early and accurate detection of sugarcane leaf diseases is critical for improving crop productivity and reducing economic losses in the agricultural sector.  Timely interventions enable sustainable crop management and better resource use.
Jannatul Mauya, Ruhul Amin, Md. Imam Hossain, Sabba Ruhi, Md. Shamim Reza   +4 more
doaj   +1 more source

Autonomous Wi-Fi Direct connectivity maintenance scheme

ICT Express, 2023
In the emergency situations, Wi-Fi Direct (WFD) can provide group-based communications between group owner (GO) and group members (GMs). However, when GO disappears voluntarily or involuntarily, the group connectivity is terminated. For the re-connection,
Mingyu Joo, Haneul Ko, Yeunwoong Kyung
doaj   +1 more source

Knowledge Extracted from Recurrent Deep Belief Network for Real Time Deterministic Control

, 2017
Recently, the market on deep learning including not only software but also hardware is developing rapidly. Big data is collected through IoT devices and the industry world will analyze them to improve their manufacturing process.
Ichimura, Takumi, Kamada, Shin
core   +1 more source

In vitro models of cancer‐associated fibroblast heterogeneity uncover subtype‐specific effects of CRISPR perturbations

Molecular Oncology, EarlyView.
Development of therapies targeting cancer‐associated fibroblasts (CAFs) necessitates preclinical model systems that faithfully represent CAF–tumor biology. We established an in vitro coculture system of patient‐derived pancreatic CAFs and tumor cell lines and demonstrated its recapitulation of primary CAF–tumor biology with single‐cell transcriptomics ...
Elysia Saputra, Shamsudheen Karuthedath Vellarikkal, Lixia Li, Hong Sun, Khoa Nguyen, Amber Montano, Suchitra Natarajan, Federica Piccioni, Alex Michael Tamburino, Xin Yu, Aleksandra Katarzyna Olow   +10 more
wiley   +1 more source

Development of a Japanese polygenic risk score model for amyloid-β PET imaging in Alzheimer’s disease

Alzheimer’s Research & Therapy
Background The use of polygenic risk scores (PRS) for predicting disease risk in Japanese populations, particularly for dementia and related phenotypes, remains markedly unexplored.
Misato Kaishima, Junichi Ito, Kentaro Takahashi, Kenji Tai, Junro Kuromitsu, Shogyoku Bun, Daisuke Ito   +6 more
doaj   +1 more source

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

AUT 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, Kazim Fouladi-Ghaleh, Pouya Ardehkhani   +2 more
doaj   +1 more source

Investigation of impact behavior of innovative non-curing steel fiber geopolymer composites

Case Studies in Construction Materials, 2022
One of the most important factors influencing the performance of geopolymer composites is the curing temperature. The dependence of geopolymerization process on activator under high temperature is a drawback need to overcome and research.
Khoa Vo Anh Pham, Khoa Tan Nguyen, Tuan Anh Le, Kihak Lee   +3 more
doaj   +1 more source

Learning Deep Structured Models [PDF]

, 2015
Many problems in real-world applications involve predicting several random variables which are statistically related. Markov random fields (MRFs) are a great mathematical tool to encode such relationships.
Chen, Liang-Chieh, Schwing, Alexander G., Urtasun, Raquel, Yuille, Alan L.   +3 more
core   +1 more source

A Deep Hierarchical Approach to Lifelong Learning in Minecraft

, 2016
We propose a lifelong learning system that has the ability to reuse and transfer knowledge from one task to another while efficiently retaining the previously learned knowledge-base.
Givony, Shahar, Mankowitz, Daniel J., Mannor, Shie, Tessler, Chen, Zahavy, Tom   +4 more
core   +1 more source

Organic fluorescent nanoprobes with NIR‐IIb characteristics for deep learning [PDF]

, 2022
Kevin Wanderi, Zongqiang Cui
openalex   +1 more source