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Optimized Deep Learning for Potato Blight Detection Using the Waterwheel Plant Algorithm and Sine Cosine Algorithm
Potato blight, sometimes referred to as late blight, is a deadly disease that affects Solanaceae plants, including potato. The oomycete Phytophthora...
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A functional gene module identification algorithm in gene expression data based on genetic algorithm and gene ontology
Since genes do not function individually, the gene module is considered an important tool for interpreting gene expression profiles. In order to...
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An Allee-based distributed algorithm for microbial whole-cell sensors
Reliable detection of substances present at potentially low concentrations is a problem common to many biomedical applications. Complementary to...
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The MultiFurcating Neighbor-Joining Algorithm for Reconstructing Polytomic Phylogenetic Trees
Results from phylogenetic analyses that study the evolution of species according to their biological characteristics are frequently structured as...
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Wood defect detection based on the CWB-YOLOv8 algorithm
As an important renewable resource, wood is widely used in various industries. When addressing wood defects that limit the amount of wood used during...
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A topology-marginal composite likelihood via a generalized phylogenetic pruning algorithm
Bayesian phylogenetics is a computationally challenging inferential problem. Classical methods are based on random-walk Markov chain Monte Carlo...
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Compression algorithm for colored de Bruijn graphs
A colored de Bruijn graph (also called a set of k-mer sets), is a set of k-mers with every k-mer assigned a set of colors. Colored de Bruijn graphs...
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Real-time cucurbit fruit detection in greenhouse using improved YOLO series algorithm
The real-time cucurbit fruit detection algorithm in complex environment of greenhouse is associated with challenges. Leaves occlusion, overlap**...
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Finding identical sequence repeats in multiple protein sequences: An algorithm
In recent years, several experimental evidences suggest that amino acid repeats are closely linked to many disease conditions, as they have a...
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TrieDedup: a fast trie-based deduplication algorithm to handle ambiguous bases in high-throughput sequencing
BackgroundHigh-throughput sequencing is a powerful tool that is extensively applied in biological studies. However, sequencers may produce...
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Identification of important gene signatures in schizophrenia through feature fusion and genetic algorithm
Schizophrenia is a debilitating psychiatric disorder that can significantly affect a patient’s quality of life and lead to permanent brain damage....
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An unsupervised image segmentation algorithm for coronary angiography
Computer visual systems can rapidly obtain a large amount of data and automatically process them with ease. These characteristics constitute...
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DNA Sequence Optimization Design of Arithmetic Optimization Algorithm Based on Billiard Hitting Strategy
DNA computing is a very efficient way to calculate, but it relies on high-quality DNA sequences, but it is difficult to design high-quality DNA...
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MSXFGP: combining improved sparrow search algorithm with XGBoost for enhanced genomic prediction
BackgroundWith the significant reduction in the cost of high-throughput sequencing technology, genomic selection technology has been rapidly...
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Development of an Expert-Level Right Ventricular Abnormality Detection Algorithm Based on Deep Learning
PurposeStudies relating to the right ventricle (RV) are inadequate, and specific diagnostic algorithms still need to be improved. This essay is...
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A self-inspected adaptive SMOTE algorithm (SASMOTE) for highly imbalanced data classification in healthcare
In many healthcare applications, datasets for classification may be highly imbalanced due to the rare occurrence of target events such as disease...
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A Multi-objective Apple Leaf Disease Detection Algorithm Based on Improved TPH-YOLOV5
To address the challenge of apple leaf disease target recognition in complex environments, we proposed an improved apple leaf disease detection...
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An autonomous navigation method for orchard rows based on a combination of an improved a-star algorithm and SVR
Autonomous robot-based orchard operations will become an alternative solution in the field of precision agriculture. One of the keys to robotic work...
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CombFold: predicting structures of large protein assemblies using a combinatorial assembly algorithm and AlphaFold2
Deep learning models, such as AlphaFold2 and RosettaFold, enable high-accuracy protein structure prediction. However, large protein complexes are...
