AIMC Topic: Algorithms

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Utilizing Artificial Intelligence: Machine Learning Algorithms to Develop a Preoperative Endometriosis Prediction Model.

Journal of minimally invasive gynecology Sep 1, 2025
OBJECTIVE: To evaluate the predictive value of clinical features in the diagnosis of endometriosis by utilizing machine learning algorithms (MLAs), aiming to develop an accurate, explainable prediction model.
Laparoscopy Endometriosis Adolescent Predictive Value of Tests Female Young Adult Middle Aged Case-Control Studies Adult Algorithms Retrospective Studies Humans Machine Learning
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S2LIC: Learned image compression with the SwinV2 block, Adaptive Channel-wise and Global-inter attention Context.

Neural networks : the official journal of the International Neural Network Society Sep 1, 2025
Recently, deep learning technology has been successfully applied in the field of image compression, leading to superior rate-distortion performance. It is crucial to design an effective and efficient entropy model to estimate the probability distribu...
Algorithms Deep Learning Image Processing, Computer-Assisted Humans Neural Networks, Computer Entropy Attention Data Compression
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Generating a vast chemical space for high polar surface area triphenylamine polymers by machine learning-DFT calculations assisted reverse engineering for photovoltaics.

Journal of molecular graphics & modelling Sep 1, 2025
The total polar surface area (TPSA) is a crucial parameter in photovoltaic (PV) materials, as it directly influences their solubility, processability, and device performance. This study leverages machine learning-assisted reverse engineering to gener...
Polymers Aniline Compounds Density Functional Theory Solar Energy Models, Molecular Machine Learning Algorithms
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Decomposition method-based global Mittag-Leffler synchronization for fractional-order Clifford-valued neural networks with transmission delays and impulses.

Neural networks : the official journal of the International Neural Network Society Sep 1, 2025
This study examines the global Mittag-Leffler synchronization (GMLS) problem for fractional-order Clifford-valued neural networks (FOCLVNNs) including transmission delays and impulses. Firstly, a novel kind of FOCLVNNs is developed that incorporates ...
Neural Networks, Computer Computer Simulation Algorithms
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Rethinking cell-based neural architecture search: A theoretical perspective.

Neural networks : the official journal of the International Neural Network Society Sep 1, 2025
In this paper, we explore several fundamental theoretical issues in cell-based neural architecture search, including whether different architectures in search space are equally important in terms of the minimal training loss they can achieve, and whe...
Humans Neurons Neural Networks, Computer Algorithms Models, Neurological
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Memory Transmission Based Referring Video Object Segmentation.

Neural networks : the official journal of the International Neural Network Society Sep 1, 2025
Referring Video Object Segmentation (RVOS) addresses the task of segmenting target objects described by textual descriptions from videos. In order to ensure the consistency of objects segmented from video frames, inter-frame modeling is adopted to ca...
Memory Video Recording Pattern Recognition, Automated Algorithms Image Processing, Computer-Assisted Humans Neural Networks, Computer
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Multi-agent self-attention reinforcement learning for multi-USV hunting target.

Neural networks : the official journal of the International Neural Network Society Sep 1, 2025
A reinforcement learning (RL) method based on the multi-head self-attention (MSA) mechanism is proposed to solve the challenge of multiple unmanned surface vehicles (multi-USV) hunting target at the surface. The kinematic, dynamic, and environmental ...
Neural Networks, Computer Algorithms Attention Reinforcement, Psychology Robotics Humans
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Federated Learning for Renal Tumor Segmentation and Classification on Multi-Center MRI Dataset.

Journal of magnetic resonance imaging : JMRI Sep 1, 2025
BACKGROUND: Deep learning (DL) models for accurate renal tumor characterization may benefit from multi-center datasets for improved generalizability; however, data-sharing constraints necessitate privacy-preserving solutions like federated learning (...
Middle Aged Algorithms Humans Retrospective Studies Female Image Interpretation, Computer-Assisted Reproducibility of Results Deep Learning Kidney Adult Kidney Neoplasms Aged Male Magnetic Resonance Imaging Image Processing, Computer-Assisted Federated Learning
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Progressive fine-to-coarse reconstruction for accurate low-bit post-training quantization in vision transformers.

Neural networks : the official journal of the International Neural Network Society Sep 1, 2025
Due to its efficiency, Post-Training Quantization (PTQ) has been widely adopted for compressing Vision Transformers (ViTs). However, when quantized into low-bit representations, there is often a significant performance drop compared to their full-pre...
Humans Data Compression Neural Networks, Computer Algorithms
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Multi-view graph clustering with Dually Enhanced Tensor Rank Minimization and Diverse Separation of Inconsistent Information.

Neural networks : the official journal of the International Neural Network Society Sep 1, 2025
Multi-view graph clustering is a powerful machine-learning technique for data analysis. However, most of the previous methods still suffer from several limitations. First, most methods overlook the potential inconsistent information in multiple views...
Algorithms Cluster Analysis Humans Machine Learning
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