AIMC Topic: Machine Learning

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AI in 3D compound design.

Current opinion in structural biology
The success of Artificial Intelligence (AI) across a wide range of domains has fuelled significant interest in its application to designing novel compounds and screening compounds against a specific target. However, many existing AI methods either do...

Automated procedure to assess pup retrieval in laboratory mice.

Scientific reports
All mammalian mothers form some sort of caring bond with their infants that is crucial to the development of their offspring. The Pup Retrieval Test (PRT) is the leading procedure to assess pup-directed maternal care in laboratory rodents, used in a ...

Universal prediction of cell-cycle position using transfer learning.

Genome biology
BACKGROUND: The cell cycle is a highly conserved, continuous process which controls faithful replication and division of cells. Single-cell technologies have enabled increasingly precise measurements of the cell cycle both as a biological process of ...

A two-step ensemble learning for predicting protein hot spot residues from whole protein sequence.

Amino acids
Protein hot spot residues are functional sites in protein-protein interactions. Biological experimental methods are traditionally used to identify hot spot residues, which is laborious and time-consuming. Thus a variety of computational methods were ...

Developing Multiagent E-Learning System-Based Machine Learning and Feature Selection Techniques.

Computational intelligence and neuroscience
Recently, artificial intelligence (AI) domain increased to contain finance, education, health, mining, and education. Artificial intelligence controls the performance of systems that use new technologies, especially in the education environment. The ...

Design of a Regional Economic Forecasting Model Using Optimal Nonlinear Support Vector Machines.

Computational intelligence and neuroscience
Forecasting regional economic activity is a progressively significant element of regional economic research. Regional economic prediction can directly assist local, national, and subnational policymakers. Regional economic activity forecast can be em...

Cross-modal distribution alignment embedding network for generalized zero-shot learning.

Neural networks : the official journal of the International Neural Network Society
Many approaches in generalized zero-shot learning (GZSL) rely on cross-modal mapping between the image feature space and the class embedding space, which achieves knowledge transfer from seen to unseen classes. However, these two spaces are completel...

Machine Learning Techniques for Increasing Efficiency of the Robot's Sensor and Control Information Processing.

Sensors (Basel, Switzerland)
Real-time systems are widely used in industry, including technological process control systems, industrial automation systems, SCADA systems, testing, and measuring equipment, and robotics. The efficiency of executing an intelligent robot's mission i...

LT-FS-ID: Log-Transformed Feature Learning and Feature-Scaling-Based Machine Learning Algorithms to Predict the -Barriers for Intrusion Detection Using Wireless Sensor Network.

Sensors (Basel, Switzerland)
The dramatic increase in the computational facilities integrated with the explainable machine learning algorithms allows us to do fast intrusion detection and prevention at border areas using Wireless Sensor Networks (WSNs). This study proposed a nov...