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Lyapunov-guided representation of recurrent neural network performance
Recurrent neural networks (RNN) are ubiquitous computing systems for sequences and multivariate time-series data. While several robust RNN...
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Unsupervised modeling of mutational landscapes of adeno-associated viruses viability
Adeno-associated viruses 2 (AAV2) are minute viruses renowned for their capacity to infect human cells and akin organisms. They have recently emerged...
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Hitac: a hierarchical taxonomic classifier for fungal ITS sequences compatible with QIIME2
BackgroundFungi play a key role in several important ecological functions, ranging from organic matter decomposition to symbiotic associations with...
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A Novel Detection Method for High-Order SNP Epistatic Interactions Based on Explicit-Encoding-Based Multitasking Harmony Search
To elucidate the genetic basis of complex diseases, it is crucial to discover the single-nucleotide polymorphisms (SNPs) contributing to disease...
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Review and Comparative Analysis of Methods and Advancements in Predicting Protein Complex Structure
AbstractProtein complexes perform diverse biological functions, and obtaining their three-dimensional structure is critical to understanding and...
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Observing isolated synaptic vesicle association and fusion ex vivo
Here, we present a protocol for isolating functionally intact glutamatergic synaptic vesicles from whole-mouse brain tissue and using them in a...
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Unmasking GAN-Generated Faces with Optimal Deep Learning and Cognitive Computing-Based Cutting-Edge Detection System
The emergence of deep learning (DL) has improved the excellence of generated media. However, with the enlarged level of photorealism, synthetic media...
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A survey of multi-population optimization algorithms for tracking the moving optimum in dynamic environments
The solution spaces of many real-world optimization problems change over time. Such problems are called dynamic optimization problems (DOPs), which...
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Res-MGCA-SE: a lightweight convolutional neural network based on vision transformer for medical image classification
This paper presents a lightweight and accurate convolution neural network (CNN) based on encoder in vision transformer structure, which uses...
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CADENCE — Neuroinformatics Tool for Supervised Calcium Events Detection
CADENCE is an open Python 3-written neuroinformatics tool with Qt6 graphic user interface for supervised calcium events detection. In neuronal...
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A new feature selection algorithm based on fuzzy-pathfinder optimization
Data mining and machine learning require feature selection because features can dramatically improve model performance. In contrast, there are no...
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A review of sentiment analysis: tasks, applications, and deep learning techniques
Sentiment analysis, a transformative force in natural language processing, revolutionizes diverse fields such as business, social media, healthcare,...
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Identification of immune-associated biomarkers of diabetes nephropathy tubulointerstitial injury based on machine learning: a bioinformatics multi-chip integrated analysis
BackgroundDiabetic nephropathy (DN) is a major microvascular complication of diabetes and has become the leading cause of end-stage renal disease...
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Revisiting the evolution of bow-tie architecture in signaling networks
Bow-tie architecture is a layered network structure that has a narrow middle layer with multiple inputs and outputs. Such structures are widely seen...
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MetaV: A Pioneer in feature Augmented Meta-Learning Based Vision Transformer for Medical Image Classification
Image classification, a fundamental task in computer vision, faces challenges concerning limited data handling, interpretability, improved feature...
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Deep learning for ultrasound medical images: artificial life variant
Segmentation of tumors in the ultrasound (US) images of the breast is a critical problem in medical imaging. Due to the poor quality of the US images...
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Spatially resolved epigenome sequencing via Tn5 transposition and deterministic DNA barcoding in tissue
Spatial epigenetic map** of tissues enables the study of gene regulation programs and cellular functions with the dependency on their local tissue...
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Cognitive Intelligent Decisions for Big Data and Cloud Computing in Industrial Applications using Trifold Algorithms
In contemporary real-time applications, diminutive devices are increasingly employing a greater portion of the spectrum to transmit data despite the...
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Improving incentive policies to salespeople cross-sells: a cost-sensitive uplift modeling approach
In this study, we present a novel cost-sensitive approach for uplift modeling in the context of cross-selling and workforce analytics. We leverage...
