AIMC Topic: Software

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Leveraging Building Material as Part of the In-Plane Robotic Kinematic System for Collective Construction.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Although collective robotic construction systems are beginning to showcase how multi-robot systems can contribute to building construction by efficiently building low-cost, sustainable structures, the majority of research utilizes non-structural or h...

GalaxyWater-CNN: Prediction of Water Positions on the Protein Structure by a 3D-Convolutional Neural Network.

Journal of chemical information and modeling
Proteins interact with numerous water molecules to perform their physiological functions in biological organisms. Most water molecules act as solvent media; hence, their roles may be considered implicitly in theoretical treatments of protein structur...

Multi-channel GCN ensembled machine learning model for molecular aqueous solubility prediction on a clean dataset.

Molecular diversity
This study constructed a new aqueous solubility dataset and a solubility regression model which was ensembled by GCN and machine learning models. Aqueous solubility is a key physiochemical property of small molecules in drug discovery. In the past fe...

A Multiobjective Hybrid Optimization Algorithm for Path Planning of Coal Mine Patrol Robot.

Computational intelligence and neuroscience
In the complex underground environment, the paths planned for coal mine patrol robot are often too long and unsmooth under the influence of low visibility and poor road conditions. To solve the problems, this paper improves the hybrid algorithm betwe...

Agilicious: Open-source and open-hardware agile quadrotor for vision-based flight.

Science robotics
Autonomous, agile quadrotor flight raises fundamental challenges for robotics research in terms of perception, planning, learning, and control. A versatile and standardized platform is needed to accelerate research and let practitioners focus on the ...

A Simulation-Based Approach to Aid Development of Software-Based Hardware Failure Detection and Mitigation Algorithms of a Mobile Robot System.

Sensors (Basel, Switzerland)
Mechatronic systems, like mobile robots, are fairly complex. They are composed of electromechanical actuation components and sensing elements supervised by microcontrollers running complex embedded software. This paper proposes a novel approach to ai...

Machine Learning Techniques Based on Primary User Emulation Detection in Mobile Cognitive Radio Networks.

Sensors (Basel, Switzerland)
Mobile cognitive radio networks (MCRNs) have arisen as an alternative mobile communication because of the spectrum scarcity in actual mobile technologies such as 4G and 5G networks. MCRN uses the spectral holes of a primary user (PU) to transmit its ...

Learning disentangled representations in the imaging domain.

Medical image analysis
Disentangled representation learning has been proposed as an approach to learning general representations even in the absence of, or with limited, supervision. A good general representation can be fine-tuned for new target tasks using modest amounts ...

Lightweight Neural Networks-Based Safety Evaluation for Smart Construction Devices.

Computational intelligence and neuroscience
Based on the theory of lightweight neural networks, this paper presents a safety evaluation model for smart construction devices. The model index system includes the internal logical relationship between the input and output indexes, and the input in...

Supervised machine learning aided behavior classification in pigeons.

Behavior research methods
Manual behavioral observations have been applied in both environment and laboratory experiments in order to analyze and quantify animal movement and behavior. Although these observations contributed tremendously to ecological and neuroscientific disc...