AIMC Topic: Algorithms

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Hybrid Rider Optimization with Deep Learning Driven Biomedical Liver Cancer Detection and Classification.

Computational intelligence and neuroscience
Biomedical engineering is the application of the principles and problem-solving methods of engineering to biology along with medicine. Computation intelligence is the study of design of intelligent agents which are systems acting perceptively. The co...

Intelligent sort-timing prediction for image-activated cell sorting.

Cytometry. Part A : the journal of the International Society for Analytical Cytology
Intelligent image-activated cell sorting (iIACS) has enabled high-throughput image-based sorting of single cells with artificial intelligence (AI) algorithms. This AI-on-a-chip technology combines fluorescence microscopy, AI-based image processing, s...

Multimodal Medical Image Fusion Using Stacked Auto-encoder in NSCT Domain.

Journal of digital imaging
Medical image fusion is a process that aims to merge the important information from images with different modalities of the same organ of the human body to create a more informative fused image. In recent years, deep learning (DL) methods have achiev...

A Systematic Review of Wi-Fi and Machine Learning Integration with Topic Modeling Techniques.

Sensors (Basel, Switzerland)
Wireless networks have drastically influenced our lifestyle, changing our workplaces and society. Among the variety of wireless technology, Wi-Fi surely plays a leading role, especially in local area networks. The spread of mobiles and tablets, and m...

Generalized Single-Vehicle-Based Graph Reinforcement Learning for Decision-Making in Autonomous Driving.

Sensors (Basel, Switzerland)
In the autonomous driving process, the decision-making system is mainly used to provide macro-control instructions based on the information captured by the sensing system. Learning-based algorithms have apparent advantages in information processing a...

A method for AI assisted human interpretation of neonatal EEG.

Scientific reports
The study proposes a novel method to empower healthcare professionals to interact and leverage AI decision support in an intuitive manner using auditory senses. The method's suitability is assessed through acoustic detection of the presence of neonat...

Neuromorphic computing hardware and neural architectures for robotics.

Science robotics
Neuromorphic hardware enables fast and power-efficient neural network-based artificial intelligence that is well suited to solving robotic tasks. Neuromorphic algorithms can be further developed following neural computing principles and neural networ...

Principal Component Research of the Teaching Model Based on Multimodal Neural Network Algorithm.

Computational intelligence and neuroscience
With the deepening and improvement of the contemporary English educating reform, the lookup on the satisfactory English training has attracted greater and extra attention. The key to enhance the English training is to enhance good teaching, and Engli...

An Improved Convolutional Neural Network-Based Scene Image Recognition Method.

Computational intelligence and neuroscience
To solve the problems existing in the research of scene recognition, this paper studies a new convolutional neural network target detection model to achieve a better balance between the accuracy and speed of high-speed scene image recognition. First,...

Aesthetic Characteristics of Dance Based on Few-Shot Learning and Neural Networks.

Computational intelligence and neuroscience
Dance is constantly discovering truth, goodness, and beauty in human social life, spreading truth, goodness, and beauty, and fully expressing the artistic pursuit of dance beauty. It shapes different dance images, expresses the aesthetic consciousnes...