Results 51 to 60 of about 21,191 (172)

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

BMC 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, Kuiyuan Tong, Shiyu Jin, Shiyan Wang, Chao Yang, Feng Jiang   +5 more
doaj   +1 more source

Depth-Adaptive Computational Policies for Efficient Visual Tracking

, 2018
Current convolutional neural networks algorithms for video object tracking spend the same amount of computation for each object and video frame. However, it is harder to track an object in some frames than others, due to the varying amount of clutter ...
Fragkiadaki, Katerina, Ying, Chris
core   +1 more source

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

Mathematics, 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, Christian Tutivén, Bryan Puruncajas, Yolanda Vidal, José Sampietro   +4 more
doaj   +1 more source

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

IEEE 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, Rahele Kafieh, Fereshteh Ashtari, Amir Atapour-Abarghouei   +3 more
doaj   +1 more source

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

International 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, Zhao Yanan, Zhao Pengcheng, Zhao Zhengcheng, Yu Tao   +4 more
doaj   +1 more source

Continuous Eye Disease Severity Evaluation System using Siamese Neural Networks

ParadigmPlus, 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, Idowu D. Oladipo, Sunday Adeola Ajagbe, Ghaniyyat B. Balogun, Nissi O. Emma-Adamah   +4 more
doaj   +1 more source

Identifying First-person Camera Wearers in Third-person Videos

, 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., Fan, Chenyou, Lee, Jangwon, Lee, Yong Jae, Ryoo, Michael S., Singh, Krishna Kumar, Xu, Mingze   +6 more
core   +1 more source

A Siamese deep learning framework for efficient hardware Trojan detection using power side-channel data

Scientific Reports
Hardware Trojans (HTs) are hidden threats embedded in the circuitry of integrated circuits (ICs), enabling unauthorized access, data theft, operational disruptions, or even physical harm.
Abdurrahman Nasr, Khalil Mohamed, Ayman Elshenawy, Mohamed Zaki   +3 more
doaj   +1 more source

Recognizing and Curating Photo Albums via Event-Specific Image Importance

, 2017
Automatic organization of personal photos is a problem with many real world ap- plications, and can be divided into two main tasks: recognizing the event type of the photo collection, and selecting interesting images from the collection.
Cottrell, Garrison W., Lin, Zhe, Mech, Radomir, Miller, Gavin, Shen, Xiaohui, Wang, Yufei   +5 more
core   +1 more source

Bearing fault diagnosis method based on improved Siamese neural network with small sample

Journal of Cloud Computing: Advances, Systems and Applications, 2022
Fault diagnosis of rolling bearings is very important for monitoring the health of rotating machinery. However, in actual industrial production, owing to the constraints of conditions and costs, only a small number of bearing fault samples can be ...
Xiaoping Zhao, Mengyao Ma, Fan Shao
doaj   +1 more source