AIMC Topic: Algorithms

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An investigation of multimodal EMG-EEG fusion strategies for upper-limb gesture classification.

Journal of neural engineering Jul 10, 2025
. Upper-limb gesture identification is an important problem in the advancement of robotic prostheses. Prevailing research into classifying electromyographic (EMG) muscular data or electroencephalographic (EEG) brain data for this purpose is often lim...
Brain-Computer Interfaces Upper Extremity Gestures Electroencephalography Electromyography Adult Male Humans Machine Learning Algorithms Female Young Adult
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BN-SNN: Spiking neural networks with bistable neurons for object detection.

PloS one Jul 10, 2025
Spiking neural networks (SNNs) are emerging as a promising evolution in neural network paradigms, offering an alternative to conventional convolutional neural networks (CNNs). One of the most effective methods for SNN development is the CNN-to-SNN co...
Action Potentials Neurons Humans Neural Networks, Computer Algorithms Models, Neurological
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Nuclei segmentation and classification from histopathology images using federated learning for end-edge platform.

PloS one Jul 10, 2025
Accurate nuclei segmentation and classification in histology images are critical for cancer detection but remain challenging due to color inconsistency, blurry boundaries, and overlapping nuclei. Manual segmentation is time-consuming and labor-intens...
Algorithms Neoplasms Deep Learning Humans Image Processing, Computer-Assisted Cell Nucleus Federated Learning
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Trajectory tracking and obstacle avoidance in dynamic environments using an improved artificial potential field method.

PloS one Jul 10, 2025
Ensuring that a robot employing demonstration learning models can simultaneously achieve accurate trajectory tracking of demonstrated paths and effective avoidance of moving obstacles in dynamic environments remains a critical research challenge. Thi...
Humans Algorithms Computer Simulation Models, Theoretical Robotics Motion
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Mitosis detection in histopathological images using customized deep learning and hybrid optimization algorithms.

PloS one Jul 10, 2025
Identifying mitosis is crucial for cancer diagnosis, but accurate detection remains difficult because of class imbalance and complex morphological variations in histopathological images. To overcome this challenge, we propose a Customized Deep Learni...
Neoplasms Humans Mitosis Deep Learning Neural Networks, Computer Image Processing, Computer-Assisted Algorithms
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Multi-objective production scheduling optimization strategy based on fuzzy mathematics theory.

PloS one Jul 10, 2025
Multi-objective production scheduling faces the problems of inter-objective conflicts, many uncertainty factors and the difficulty of traditional optimization algorithms to deal with complexity and ambiguity, and there is an urgent need to introduce ...
Models, Theoretical Fuzzy Logic Mathematics Humans Algorithms
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Predicting the sonication energy for focused ultrasound surgery treatment of breast fibroadenomas using machine learning algorithms.

International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group Jul 9, 2025
PURPOSE: To establish a predictive model for the sonication energy required for focused ultrasound surgery (FUS) of breast fibroadenomas.
Adult Sonication Humans Algorithms Breast Neoplasms Fibroadenoma Retrospective Studies Machine Learning Middle Aged Female
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A novel machine-learning algorithm to screen for trisomy 21 in first-trimester singleton pregnancies.

Journal of obstetrics and gynaecology : the journal of the Institute of Obstetrics and Gynaecology Jul 9, 2025
BACKGROUND: Antenatal screening for Trisomy 21 (T21) in the UK is performed primarily in the first trimester. Nuchal Translucency (NT), gestational age, Free β-HCG and PAPP-A are used in combination, creating the 'combined' test. Multivariate Gaussia...
Machine Learning Algorithms Pregnancy Female Adult Pregnancy Trimester, First Humans Pregnancy-Associated Plasma Protein-A Prenatal Diagnosis Nuchal Translucency Measurement Chorionic Gonadotropin, beta Subunit, Human Down Syndrome False Positive Reactions Gestational Age
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Metaverse-based deep learning framework for coronary artery stenosis classification using Monte Carlo Dropout-based ResNet-152.

Computers in biology and medicine Jul 9, 2025
Metaverse offers an immersive healthcare platform that combines virtual reality (VR) and artificial intelligence (AI), providing a new approach to medical diagnostics. However, difficulties such as inadequate spatial resolution, uncertainty managemen...
Humans Algorithms Female Coronary Angiography Monte Carlo Method Coronary Stenosis Male Deep Learning Image Processing, Computer-Assisted
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Feasibility study of "double-low" scanning protocol combined with artificial intelligence iterative reconstruction algorithm for abdominal computed tomography enhancement in patients with obesity.

BMC medical imaging Jul 9, 2025
OBJECTIVE: To evaluate the efficacy of the "double-low" scanning protocol combined with the artificial intelligence iterative reconstruction (AIIR) algorithm for abdominal computed tomography (CT) enhancement in obese patients and to identify the opt...
Radiographic Image Enhancement Radiography, Abdominal Female Feasibility Studies Aged Radiation Dosage Adult Artificial Intelligence Algorithms Tomography, X-Ray Computed Humans Male Body Mass Index Middle Aged Obesity Imaging, Three-Dimensional Radiographic Image Interpretation, Computer-Assisted
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