Results 41 to 50 of about 21,033 (209)

CNN-Siam: multimodal siamese CNN-based deep learning approach for drug‒drug interaction prediction

open access: yesBMC Bioinformatics, 2023
Background Drug‒drug interactions (DDIs) are reactions between two or more drugs, i.e., possible situations that occur when two or more drugs are used simultaneously. DDIs act as an important link in both drug development and clinical treatment. Since it
Zihao Yang   +5 more
doaj   +1 more source

Siamese Neural Networks for Damage Detection and Diagnosis of Jacket-Type Offshore Wind Turbine Platforms

open access: yesMathematics, 2022
Offshore wind energy is increasingly being realized at deeper ocean depths where jacket foundations are now the greatest choice for dealing with the hostile environment. The structural stability of these undersea constructions is critical.
Joseph Baquerizo   +4 more
doaj   +1 more source

A Feature Learning Siamese Model for Intelligent Control of the Dynamic Range Compressor

open access: yes, 2019
In this paper, a siamese DNN model is proposed to learn the characteristics of the audio dynamic range compressor (DRC). This facilitates an intelligent control system that uses audio examples to configure the DRC, a widely used non-linear audio signal ...
Fazekas, György, Sheng, Di
core   +1 more source

Tissue Engineered Human Elastic Cartilage From Primary Auricular Chondrocytes for Ear Reconstruction

open access: yesAdvanced Functional Materials, EarlyView.
Despite over three decades of research, no tissue‐engineered solution for auricular reconstruction in microtia patients has reached clinical translation. The key challenge lies in generating functional elastic cartilage ex vivo. Here, we integrate synergistic cell‐biomaterial strategies to engineer auricular grafts with mechanical and histological ...
Philipp Fisch   +13 more
wiley   +1 more source

Continuous Eye Disease Severity Evaluation System using Siamese Neural Networks

open access: yesParadigmPlus, 2023
Evaluating the severity of eye diseases using medical images is a very essential and routine task performed in medical diagnosis and treatment. Current grading systems which are largely based on discrete classification are unreliable and do reflect not ...
Muyideen Abdulraheem   +4 more
doaj   +1 more source

Identifying First-person Camera Wearers in Third-person Videos

open access: yes, 2017
We consider scenarios in which we wish to perform joint scene understanding, object tracking, activity recognition, and other tasks in environments in which multiple people are wearing body-worn cameras while a third-person static camera also captures ...
Crandall, David J.   +6 more
core   +1 more source

4D Printing of Multimaterial Flexible Magneto‐Active Polymers

open access: yesAdvanced Materials Technologies, EarlyView.
Magneto‐active polymers are 3D‐printed with tunable mechanical and magnetic properties using both superparamagnetic and hard ferromagnetic fillers. Nano‐CT imaging reveals the spatial distribution of particles within the matrix. Programmable magnetization patterns and soft, flexible architectures enable responsive actuation, offering exciting ...
Naji Tarabay   +6 more
wiley   +1 more source

Diagnosis of Multiple Sclerosis by Detecting Asymmetry Within the Retina Using a Similarity-Based Neural Network

open access: yesIEEE Access
Multiple sclerosis (MS) is a chronic neurological disorder that targets the central nervous system, causing demyelination and neural disruption, which can include retinal nerve damage leading to visual disturbances.
Regan Cain Bolton   +3 more
doaj   +1 more source

3D Printing of Soft Robotic Systems: Advances in Fabrication Strategies and Future Trends

open access: yesAdvanced Robotics Research, EarlyView.
Collectively, this review systematically examines 3D‐printed soft robotics, encompassing material selections, function integration, and manufacturing methodologies. Meanwhile, fabrication strategies are analyzed in order of increasing complexity, highlighting persistent challenges with proposed solutions.
Changjiang Liu   +5 more
wiley   +1 more source

Research on fault diagnosis method for nuclear power plants rotating machinery based on MoCo Siamese neural network

open access: yesInternational Journal of Advanced Nuclear Reactor Design and Technology
Rotating machinery is a kind of significant equipment that widely used in nuclear power plants (NPPs). The harsh operating environment and long-term continuous operation of the rotating machinery can cause various faults due to wear, vibration et al ...
Xia Yubo   +4 more
doaj   +1 more source

Home - About - Disclaimer - Privacy