AIMC Topic: Algorithms

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Real-Time Pipe and Valve Characterisation and Mapping for Autonomous Underwater Intervention Tasks.

Sensors (Basel, Switzerland)
Nowadays, more frequently, it is necessary to perform underwater operations such as surveying an area or inspecting and intervening on industrial infrastructures such as offshore oil and gas rigs or pipeline networks. Recently, the use of Autonomous ...

A Routing Optimization Method for Software-Defined Optical Transport Networks Based on Ensembles and Reinforcement Learning.

Sensors (Basel, Switzerland)
Optical transport networks (OTNs) are widely used in backbone- and metro-area transmission networks to increase network transmission capacity. In the OTN, it is particularly crucial to rationally allocate routes and maximize network capacities. By em...

Monocular Camera Viewpoint-Invariant Vehicular Traffic Segmentation and Classification Utilizing Small Datasets.

Sensors (Basel, Switzerland)
The work presented here develops a computer vision framework that is view angle independent for vehicle segmentation and classification from roadway traffic systems installed by the Virginia Department of Transportation (VDOT). An automated technique...

Improved Feature Parameter Extraction from Speech Signals Using Machine Learning Algorithm.

Sensors (Basel, Switzerland)
Speech recognition refers to the capability of software or hardware to receive a speech signal, identify the speaker's features in the speech signal, and recognize the speaker thereafter. In general, the speech recognition process involves three main...

Pretreatment to terahertz absorption curves by narrow undulation constraint and Its quick implementation suggested by convex hull.

Scientific reports
In this work, a method of pretreating THz absorption curve is proposed, which leads to minimal range in absorption, reserving necessary undulation of curve for identification by convolutional neural network. The kernel thought of proposed method is a...

Modeling and insights into the structural characteristics of drug-induced autoimmune diseases.

Frontiers in immunology
The incidence and complexity of drug-induced autoimmune diseases (DIAD) have been on the rise in recent years, which may lead to serious or fatal consequences. Besides, many environmental and industrial chemicals can also cause DIAD. However, there a...

SDHAR-HOME: A Sensor Dataset for Human Activity Recognition at Home.

Sensors (Basel, Switzerland)
Nowadays, one of the most important objectives in health research is the improvement of the living conditions and well-being of the elderly, especially those who live alone. These people may experience undesired or dangerous situations in their daily...

DEEP LEARNING ALGORITHMS HAVE HIGH ACCURACY FOR AUTOMATED LANDMARK DETECTION ON 2D LATERAL CEPHALOGRAMS.

The journal of evidence-based dental practice
ARTICLE TITLE AND BIBLIOGRAPHIC INFORMATION: Deep learning for cephalometric landmark detection: systematic review and meta-analysis. Schwendicke F, Chaurasia A, Arsiwala L, Lee JH, Elhennawy K, Jost-Brinkmann PG, Demarco F, Krois J. Clin Oral Invest...

Deep Learning-Based NMPC for Local Motion Planning of Last-Mile Delivery Robot.

Sensors (Basel, Switzerland)
Feasible local motion planning for autonomous mobile robots in dynamic environments requires predicting how the scene evolves. Conventional navigation stakes rely on a local map to represent how a dynamic scene changes over time. However, these navig...

RD-YOLO: An Effective and Efficient Object Detector for Roadside Perception System.

Sensors (Basel, Switzerland)
In recent years, intelligent driving technology based on vehicle-road cooperation has gradually become a research hotspot in the field of intelligent transportation. There are many studies regarding vehicle perception, but fewer studies regarding roa...