AIMC Topic: Algorithms

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Evaluation of Machine Learning Techniques for Traffic Flow-Based Intrusion Detection.

Sensors (Basel, Switzerland)
Cybersecurity is one of the great challenges of today's world. Rapid technological development has allowed society to prosper and improve the quality of life and the world is more dependent on new technologies. Managing security risks quickly and eff...

Case Study: Improving the Quality of Dairy Cow Reconstruction with a Deep Learning-Based Framework.

Sensors (Basel, Switzerland)
Three-dimensional point cloud generation systems from scanning data of a moving camera provide extra information about an object in addition to color. They give access to various prospective study fields for researchers. With applications in animal h...

A Novel Anomaly-Based Intrusion Detection Model Using PSOGWO-Optimized BP Neural Network and GA-Based Feature Selection.

Sensors (Basel, Switzerland)
Intrusion detection systems (IDS) are crucial for network security because they enable detection of and response to malicious traffic. However, as next-generation communications networks become increasingly diversified and interconnected, intrusion d...

RHSOFS: Feature Selection Using the Rock Hyrax Swarm Optimization Algorithm for Credit Card Fraud Detection System.

Sensors (Basel, Switzerland)
In recent years, detecting credit card fraud transactions has been a difficult task due to the high dimensions and imbalanced datasets. Selecting a subset of important features from a high-dimensional dataset has proven to be the most prominent appro...

Low Complexity Binarized 2D-CNN Classifier for Wearable Edge AI Devices.

IEEE transactions on biomedical circuits and systems
Wearable Artificial Intelligence-of-Things (AIoT) devices exhibit the need to be resource and energy-efficient. In this paper, we introduced a quantized multilayer perceptron (qMLP) for converting ECG signals to binary image, which can be combined wi...

Dead detector element detection in flat panels using convolutional neural networks.

Medical physics
BACKGROUND: Independent testing of image quality metrics is important to provide an unbiased determination of medical imaging performance. Due to the underreporting by vendors of dead detector elements, which are elements that do not function but may...

DeepCV: A Deep Learning Framework for Blind Search of Collective Variables in Expanded Configurational Space.

Journal of chemical information and modeling
We present (DeepCV), a computer code that provides an efficient and customizable implementation of the deep autoencoder neural network (DAENN) algorithm that has been developed in our group for computing collective variables (CVs) and can be used wi...

Real-Time Vehicle Classification System Using a Single Magnetometer.

Sensors (Basel, Switzerland)
Vehicle count and classification data are very important inputs for intelligent transportation systems (ITS). Magnetic sensor-based technology provides a very promising solution for the measurement of different traffic parameters. In this work, a nov...

Visual SLAM: What Are the Current Trends and What to Expect?

Sensors (Basel, Switzerland)
In recent years, Simultaneous Localization and Mapping (SLAM) systems have shown significant performance, accuracy, and efficiency gain. In this regard, Visual Simultaneous Localization and Mapping (VSLAM) methods refer to the SLAM approaches that em...

Digital Histopathological Discrimination of Label-Free Tumoral Tissues by Artificial Intelligence Phase-Imaging Microscopy.

Sensors (Basel, Switzerland)
Histopathology is the gold standard for disease diagnosis. The use of digital histology on fresh samples can reduce processing time and potential image artifacts, as label-free samples do not need to be fixed nor stained. This fact allows for a faste...