AIMC Topic: Neural Networks, Computer

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Machine learning-based prognostic prediction and surgical guidance for intrahepatic cholangiocarcinoma.

Bioscience trends Dec 8, 2024
The prognosis following radical surgery for intrahepatic cholangiocarcinoma (ICC) is poor, and optimal follow-up strategies remain unclear, with ongoing debates regarding anatomic resection (AR) versus non-anatomic resection (NAR). This study include...
Cholangiocarcinoma Middle Aged Support Vector Machine Hepatectomy Bile Duct Neoplasms Neoplasm Staging Aged Male Prognosis Female Neural Networks, Computer Machine Learning Humans
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Applications of and issues with machine learning in medicine: Bridging the gap with explainable AI.

Bioscience trends Dec 8, 2024
In recent years, machine learning, and particularly deep learning, has shown remarkable potential in various fields, including medicine. Advanced techniques like convolutional neural networks and transformers have enabled high-performance predictions...
Neural Networks, Computer Artificial Intelligence Machine Learning Humans Clinical Decision-Making Algorithms Precision Medicine
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Chemoenzymatic Synthesis Planning Guided by Reaction Type Score.

Journal of chemical information and modeling Dec 8, 2024
Thanks to the growing interest in computer-aided synthesis planning (CASP), a wide variety of retrosynthesis and retrobiosynthesis tools have been developed in the past decades. However, synthesis planning tools for multistep chemoenzymatic reactions...
Neural Networks, Computer Chemistry Techniques, Synthetic
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Optimizing critical quality attributes of fast disintegrating tablets using artificial neural networks: a scientific benchmark study.

Drug development and industrial pharmacy Dec 8, 2024
OBJECTIVE: The objective of this study is to create predictive models utilizing machine learning algorithms, including Artificial Neural Networks (ANN), k-nearest neighbor (kNN), support vector machines (SVM), and linear regression, to predict critic...
Machine Learning Algorithms Excipients Neural Networks, Computer Drug Compounding Hardness Linear Models Support Vector Machine Chemistry, Pharmaceutical Tablets
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Self-distillation improves self-supervised learning for DNA sequence inference.

Neural networks : the official journal of the International Neural Network Society Dec 7, 2024
Self-supervised Learning (SSL) has been recognized as a method to enhance prediction accuracy in various downstream tasks. However, its efficacy for DNA sequences remains somewhat constrained. This limitation stems primarily from the fact that most e...
Sequence Analysis, DNA Supervised Machine Learning Humans Deep Learning Neural Networks, Computer DNA
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Stabilizing sequence learning in stochastic spiking networks with GABA-Modulated STDP.

Neural networks : the official journal of the International Neural Network Society Dec 7, 2024
Cortical networks are capable of unsupervised learning and spontaneous replay of complex temporal sequences. Endowing artificial spiking neural networks with similar learning abilities remains a challenge. In particular, it is unresolved how differen...
Neural Networks, Computer Humans Models, Neurological Neurons gamma-Aminobutyric Acid Learning Action Potentials Stochastic Processes Neuronal Plasticity
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Development of multistage crop yield estimation model using machine learning and deep learning techniques.

International journal of biometeorology Dec 7, 2024
In this research paper, machine learning techniques were applied to a multivariate meteorological time series data for estimating the wheat yield of five districts of Punjab. Wheat yield data and weather parameters over 34 years were collected from t...
Neural Networks, Computer Machine Learning Weather Crops, Agricultural Models, Theoretical Deep Learning Triticum India
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Estimation of fatty acid composition in mammary adipose tissue using deep neural network with unsupervised training.

Magnetic resonance in medicine Dec 6, 2024
PURPOSE: To develop a deep learning-based method for robust and rapid estimation of the fatty acid composition (FAC) in mammary adipose tissue.
Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Breast Neoplasms Middle Aged Breast Neural Networks, Computer Fatty Acids Unsupervised Machine Learning Female Humans Phantoms, Imaging Adipose Tissue
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Self-supervised pre-trained neural network for quantum natural language processing.

Neural networks : the official journal of the International Neural Network Society Dec 6, 2024
Quantum computing models have propelled advances in many application domains. However, in the field of natural language processing (NLP), quantum computing models are limited in representation capacity due to the high linearity of the underlying quan...
Humans Neural Networks, Computer Natural Language Processing Quantum Theory
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Advancements in exponential synchronization and encryption techniques: Quaternion-Valued Artificial Neural Networks with two-sided coefficients.

Neural networks : the official journal of the International Neural Network Society Dec 6, 2024
This paper presents cutting-edge advancements in exponential synchronization and encryption techniques, focusing on Quaternion-Valued Artificial Neural Networks (QVANNs) that incorporate two-sided coefficients. The study introduces a novel approach t...
Computer Simulation Computer Security Neural Networks, Computer Algorithms
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