AIMC Topic: Algorithms

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Computer-Aided Multiclass Classification of Corn from Corn Images Integrating Deep Feature Extraction.

Computational intelligence and neuroscience
Corn has great importance in terms of production in the field of agriculture and animal feed. Obtaining pure corn seeds in corn production is quite significant for seed quality. For this reason, the distinction of corn seeds that have numerous variet...

Computational Scientific Discovery in Psychology.

Perspectives on psychological science : a journal of the Association for Psychological Science
Scientific discovery is a driving force for progress involving creative problem-solving processes to further our understanding of the world. The process of scientific discovery has historically been intensive and time-consuming; however, advances in ...

Exploring the potential of in silico machine learning tools for the prediction of acute Daphnia magna nanotoxicity.

Chemosphere
Engineered nanomaterials (ENMs) are ubiquitous nowadays, finding their application in different fields of technology and various consumer products. Virtually any chemical can be manipulated at the nano-scale to display unique characteristics which ma...

Coordinated Control of Intelligent Fuzzy Traffic Signal Based on Edge Computing Distribution.

Sensors (Basel, Switzerland)
With the development of Internet of Things infrastructures and intelligent traffic systems, the traffic congestion that results from the continuous complexity of urban road networks and traffic saturation has a new solution. In this research, we prop...

Nested Bee Hive: A Conceptual Multilayer Architecture for 6G in Futuristic Sustainable Smart Cities.

Sensors (Basel, Switzerland)
Several smart city ideas are introduced to manage various problems caused by overpopulation, but the futuristic smart city is a concept based on dense and artificial-intelligence-centric cities. Thus, massive device connectivity with huge data traffi...

Euclidean Graphs as Crack Pattern Descriptors for Automated Crack Analysis in Digital Images.

Sensors (Basel, Switzerland)
Typical crack detection processes in digital images produce a binary-segmented image that constitutes the basis for all of the following analyses. Binary images are, however, an unsatisfactory data format for advanced crack analysis algorithms due to...

Indoor Positioning System with UWB Based on a Digital Twin.

Sensors (Basel, Switzerland)
Ultra-wideband (UWB) technology is used for indoor positioning, but its positioning accuracy is usually degenerated by various obstacles in the indoor environment because of non-line-of-sight (NLOS). Facing the complex and changeable indoor environme...

Deep Learning for Robust Adaptive Inverse Control of Nonlinear Dynamic Systems: Improved Settling Time with an Autoencoder.

Sensors (Basel, Switzerland)
An adaptive deep neural network is used in an inverse system identification setting to approximate the inverse of a nonlinear plant with the aim of constituting the plant controller by copying to the latter the weights and architecture of the converg...

A benchmark study of deep learning-based multi-omics data fusion methods for cancer.

Genome biology
BACKGROUND: A fused method using a combination of multi-omics data enables a comprehensive study of complex biological processes and highlights the interrelationship of relevant biomolecules and their functions. Driven by high-throughput sequencing t...

Convolutional Neural Network in Microsurgery Treatment of Spontaneous Intracerebral Hemorrhage.

Computational and mathematical methods in medicine
OBJECTIVE: To explore the convolutional neural network (CNN) method in measuring hematoma volume-assisted microsurgery for spontaneous cerebral hemorrhage.