AIMC Topic: Neural Networks, Computer

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Promises and perils of using Transformer-based models for SE research.

Neural networks : the official journal of the International Neural Network Society Dec 24, 2024
Many Transformer-based pre-trained models for code have been developed and applied to code-related tasks. In this paper, we analyze 519 papers published on this topic during 2017-2023, examine the suitability of model architectures for different task...
Software Algorithms Humans Neural Networks, Computer
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Probabilistic-sampling-based asynchronous control for semi-Markov jumping neural networks with reaction-diffusion terms.

Neural networks : the official journal of the International Neural Network Society Dec 24, 2024
This paper investigates the probabilistic-sampling-based asynchronous control problem for semi-Markov reaction-diffusion neural networks (SMRDNNs). Aiming at mitigating the drawback of the well-known fixed-sampling control law, a more general probabi...
Stochastic Processes Probability Markov Chains Algorithms Computer Simulation Neural Networks, Computer
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Topology-based protein classification: A deep learning approach.

Biochemical and biophysical research communications Dec 24, 2024
Utilizing Artificial Intelligence (AI) in computational biology techniques could offer significant advantages in alleviating the growing workloads faced by structural biologists, especially with the emergence of big data. In this study, we employed D...
Databases, Protein Protein Conformation Computational Biology Proteins Neural Networks, Computer Deep Learning
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A feature fusion method based on radiomic features and revised deep features for improving tumor prediction in ultrasound images.

Computers in biology and medicine Dec 24, 2024
BACKGROUND: Radiomic features and deep features are both vitally helpful for the accurate prediction of tumor information in breast ultrasound. However, whether integrating radiomic features and deep features can improve the prediction performance of...
Humans ROC Curve Neural Networks, Computer Ultrasonography, Mammary Female Breast Neoplasms Image Interpretation, Computer-Assisted Deep Learning Radiomics Ultrasonography
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Drug toxicity prediction model based on enhanced graph neural network.

Computers in biology and medicine Dec 24, 2024
Prediction of drug toxicity remains a significant challenge and an essential process in drug discovery. Traditional machine learning algorithms struggle to capture the full scope of molecular structure features, limiting their effectiveness in toxici...
Drug-Related Side Effects and Adverse Reactions Graph Neural Networks Algorithms Databases, Factual Humans Neural Networks, Computer
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Mask R-CNN assisted diagnosis of spinal tuberculosis.

Journal of X-ray science and technology Dec 24, 2024
The prevalence of spinal tuberculosis (ST) is particularly high in underdeveloped regions with inadequate medical conditions. This not only leads to misdiagnosis and delays in treatment progress but also contributes to the continued transmission of t...
Deep Learning Tuberculosis, Spinal Tomography, X-Ray Computed Diagnosis, Computer-Assisted Humans Neural Networks, Computer
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Optimizing sequence data analysis using convolution neural network for the prediction of CNV bait positions.

BMC bioinformatics Dec 24, 2024
BACKGROUND: Accurate prediction of copy number variations (CNVs) from targeted capture next-generation sequencing (NGS) data relies on effective normalization of read coverage profiles. The normalization process is particularly challenging due to hid...
High-Throughput Nucleotide Sequencing Exome Sequencing Sequence Analysis, DNA DNA Copy Number Variations Humans Neural Networks, Computer Data Analysis Algorithms
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Multimodal data-based human motion intention prediction using adaptive hybrid deep learning network for movement challenged person.

Scientific reports Dec 24, 2024
Recently, social demands for a good quality of life have increased among the elderly and disabled people. So, biomedical engineers and robotic researchers aimed to fuse these techniques in a novel rehabilitation system. Moreover, these models utilize...
Algorithms Deep Learning Electroencephalography Humans Neural Networks, Computer Movement Electromyography Intention
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Fusion-driven semi-supervised learning-based lung nodules classification with dual-discriminator and dual-generator generative adversarial network.

BMC medical informatics and decision making Dec 24, 2024
BACKGROUND: The detection and classification of lung nodules are crucial in medical imaging, as they significantly impact patient outcomes related to lung cancer diagnosis and treatment. However, existing models often suffer from mode collapse and po...
Supervised Machine Learning Neural Networks, Computer Humans Tomography, X-Ray Computed Lung Neoplasms Solitary Pulmonary Nodule
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EnDM-CPP: A Multi-view Explainable Framework Based on Deep Learning and Machine Learning for Identifying Cell-Penetrating Peptides with Transformers and Analyzing Sequence Information.

Interdisciplinary sciences, computational life sciences Dec 23, 2024
Cell-Penetrating Peptides (CPPs) are a crucial carrier for drug delivery. Since the process of synthesizing new CPPs in the laboratory is both time- and resource-consuming, computational methods to predict potential CPPs can be used to find CPPs to e...
Neural Networks, Computer Machine Learning Humans Computational Biology Amino Acid Sequence Algorithms Cell-Penetrating Peptides Deep Learning
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