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One class classification for the detection of β2 adrenergic receptor agonists using single-ligand dynamic interaction data
G protein-coupled receptors are involved in many biological processes, relaying the extracellular signal inside the cell. Signaling is regulated by...
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Image segmentation and classification for fission track analysis for nuclear forensics using U-net model
This study introduces a novel methodology for the detection and classification of fission track (FT) clusters in microscope images, employing...
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Convolution Neural Network Approaches for Cancer Cell Image Classification
Recently, research incorporating the benefits of deep learning in the application of cancer cell classification and analysis has been actively...
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A deep ensemble learning method for cherry classification
In many agricultural products, information technologies are utilized in classification processes at the desired quality. It is undesirable to mix...
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Classification of battery compounds using structure-free Mendeleev encodings
AbstractMachine learning is a valuable tool that can accelerate the discovery and design of materials occupying combinatorial chemical spaces....
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Classification of hazelnut varieties based on bigtransfer deep learning model
Hazelnut is an agricultural product that contributes greatly to the economy of the countries where it is grown. The human factor plays a major role...
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Analysis of selected deep features with CNN-SVM-based for bread wheat seed classification
The main ingredient of flour is processed wheat. Wheat is an agricultural product that is harvested once a year. It may be necessary to choose the...
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Classification of deep image features of lentil varieties with machine learning techniques
Today, image classification methods are widely utilized on agricultural products or in agricultural applications. However, many of these methods...
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A new hybrid model for classification of corn using morphological properties
Automated classification of corn is important for corn sorting in intelligent agriculture. Corn classification process is a necessary and accurate...
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National hydrologic connectivity classification links wetlands with stream water quality
Wetland hydrologic connections to downstream waters influence stream water quality. However, no systematic approach for characterizing this...
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Design and performance analysis of decision tree learning model for classification of dry and cooked rice samples
Ensuring accurate classification of rice as either cooked or dry is vital for food safety, as improperly stored or cooked rice contain harmful...
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Integration of Optical Property Map** and Machine Learning for Real-Time Classification of Early Bruises of Apples
Real-time detection and classification of bruised apples are critical to appropriate postharvest handling. However, the early bruises are hard to...
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Classification and authentication of materials using prompt gamma ray activation analysis
Prompt gamma ray activation analysis (PGAA) is a non-destructive nuclear measurement technique that quantifies isotopes present in a sample. Here, we...
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Automated Classification of Undegraded and Aged Polyethylene Terephthalate Microplastics from ATR-FTIR Spectroscopy using Machine Learning Algorithms
Automated analysis of microplastics is essential due to the labor-intensive, time-consuming, and error-prone nature of manual methods. Attenuated...
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Oleogel Preparation Methods and Classification
Oleogels are prepared through a complex interplay of various factors such as the oil phase, the oleogelator, and processing conditions. Different...
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The classification of leek seeds based on fluorescence spectroscopic data using machine learning
The objective of this study was to distinguish leek seeds belonging to the Starozagorski kamush variety and two breeding lines based on the selected...
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Binary classification of pumpkin (Cucurbita pepo L.) seeds based on quality features using machine learning algorithms
Mass, size, and shape attributes are important for the design of planters, breeding studies, and quality assessment. In recent years, machinery...
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Classification of lemon quality using hybrid model based on Stacked AutoEncoder and convolutional neural network
Agricultural product quality assessment is crucial for determining marketability and managing waste. It helps ensure that products meet industry...
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Clustering and Classification of Red Wines According to Physical-Chemical Properties Using Data Mining Methods
AbstractThe data on 178 samples of Italian red wines taken from the public machine learning repository UCI have been studied. Computer analysis of 13...
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Low-cost monochromatic uniform illumination HSI system for detection and classification of apple bruise
Hyperspectral imaging, as a non-destructive testing technique with the ability to acquire rich spatial and spectral information, is a potential tool...
