AIMC Topic: Research Design

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Cross subkey side channel analysis based on small samples.

Scientific reports Apr 15, 2022
The majority of recently demonstrated Deep-Learning Side-Channel Analysis (DLSCA) use neural networks trained on a segment of traces containing operations only related to the target subkey. However, when the size of the training set is limited, as in...
Neural Networks, Computer Research Design Deep Learning Data Collection Food, Formulated
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Multi-attack and multi-classification intrusion detection for vehicle-mounted networks based on mosaic-coded convolutional neural network.

Scientific reports Apr 15, 2022
With the development of Internet of vehicles, the information exchange between vehicles and the outside world results in a higher risk of external network attacks to the vehicles. The attack modes to the most widely used vehicle-mounted CAN bus are c...
Neural Networks, Computer Software Research Design Internet
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WalkIm: Compact image-based encoding for high-performance classification of biological sequences using simple tuning-free CNNs.

PloS one Apr 15, 2022
The classification of biological sequences is an open issue for a variety of data sets, such as viral and metagenomics sequences. Therefore, many studies utilize neural network tools, as the well-known methods in this field, and focus on designing cu...
Neural Networks, Computer Research Design Data Collection Metagenomics
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DeepLumina: A Method Based on Deep Features and Luminance Information for Color Texture Classification.

Computational intelligence and neuroscience Apr 14, 2022
Color texture classification is a significant computer vision task to identify and categorize textures that we often observe in natural visual scenes in the real world. Without color and texture, it remains a tedious task to identify and recognize ob...
Neural Networks, Computer Research Design Support Vector Machine Color Data Collection
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Methodological conduct of prognostic prediction models developed using machine learning in oncology: a systematic review.

BMC medical research methodology Apr 8, 2022
BACKGROUND: Describe and evaluate the methodological conduct of prognostic prediction models developed using machine learning methods in oncology.
Humans Machine Learning Research Design Prognosis Bias Medical Oncology
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Self-Supervised Robust Feature Matching Pipeline for Teach and Repeat Navigation.

Sensors (Basel, Switzerland) Apr 7, 2022
The performance of deep neural networks and the low costs of computational hardware has made computer vision a popular choice in many robotic systems. An attractive feature of deep-learned methods is their ability to cope with appearance changes caus...
Neural Networks, Computer Research Design Reproducibility of Results Hand Data Curation
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Removing Feasibility Conditions on Adaptive Neural Tracking Control of Nonlinear Time-Delay Systems With Time-Varying Powers, Input, and Full-State Constraints.

IEEE transactions on cybernetics Apr 5, 2022
This article investigates the tracking control for input and full-state-constrained nonlinear time-delay systems with unknown time-varying powers, whose nonlinearities do not impose any growth assumption. By utilizing the auxiliary control signal and...
Neural Networks, Computer Research Design Computer Simulation Feasibility Studies Nonlinear Dynamics
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Lightweight YOLOv4 with Multiple Receptive Fields for Detection of Pulmonary Tuberculosis.

Computational intelligence and neuroscience Mar 31, 2022
The characteristics of pulmonary are complex, and the cost of manual screening is high. The detection model based on convolutional neural network is an essential method for assisted diagnosis with artificial intelligence. However, it also has the di...
Humans Neural Networks, Computer Artificial Intelligence Algorithms Research Design Tuberculosis, Pulmonary
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Real-Time Tracking of Object Melting Based on Enhanced DeepLab 3+ Network.

Computational intelligence and neuroscience Mar 30, 2022
In order to reveal the dissolution behavior of iron tailings in blast furnace slag, the main component of iron tailings, SiO, was used for research. Aiming at the problem of information loss and inaccurate extraction of tracking molten SiO particles ...
Neural Networks, Computer Research Design Image Processing, Computer-Assisted Silicon Dioxide Iron
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Deep Learning-Based Monocular 3D Object Detection with Refinement of Depth Information.

Sensors (Basel, Switzerland) Mar 28, 2022
Recently, the research on monocular 3D target detection based on pseudo-LiDAR data has made some progress. In contrast to LiDAR-based algorithms, the robustness of pseudo-LiDAR methods is still inferior. After conducting in-depth experiments, we real...
Algorithms Research Design Deep Learning
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