AIMC Topic: Algorithms

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A dual encoder network with multiscale feature fusion and multiple pooling channel spatial attention for skin scar image segmentation.

Scientific reports Jul 2, 2025
Skin scar is a prevalent dermatological concern that impacts both aesthetic appearance and psychological well-being, making precise delineation of scar tissue essential for clinical treatment. To address the challenge of scar image segmentation, this...
Image Processing, Computer-Assisted Skin Algorithms Cicatrix Deep Learning Humans Neural Networks, Computer
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Enhanced security for medical images using a new 5D hyper chaotic map and deep learning based segmentation.

Scientific reports Jul 2, 2025
Medical image encryption is important for maintaining the confidentiality of sensitive medical data and protecting patient privacy. Contemporary healthcare systems store significant patient data in text and graphic form. This research proposes a New ...
Humans Image Processing, Computer-Assisted Algorithms Confidentiality Deep Learning Diagnostic Imaging Computer Security
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GAINSeq: glaucoma pre-symptomatic detection using machine learning models driven by next-generation sequencing data.

Scientific reports Jul 2, 2025
Congenital glaucoma, a complex and diverse condition, presents considerable difficulties in its identification and categorization. This research used Next Generation Sequencing (NGS) whole-exome data to create a categorization framework using machine...
High-Throughput Nucleotide Sequencing Humans Machine Learning Genotype Glaucoma Decision Trees Algorithms
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Knee injury prevention via personalized exercise using EDAS method and Sugeno Weber operator under complex q rung orthopair fuzzy data.

Scientific reports Jul 2, 2025
Knee injuries are common in several people, frequently controlling for significant injuries and health care costs. This article explains the role of personalized exercise prescriptions in preventing knee injuries. For this purpose, we used the multic...
Humans Range of Motion, Articular Algorithms Knee Injuries Precision Medicine Muscle Strength Exercise Exercise Therapy Fuzzy Logic
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Lightweight convolutional neural networks using nonlinear Lévy chaotic moth flame optimisation for brain tumour classification via efficient hyperparameter tuning.

Scientific reports Jul 2, 2025
Deep convolutional neural networks (CNNs) have seen significant growth in medical image classification applications due to their ability to automate feature extraction, leverage hierarchical learning, and deliver high classification accuracy. However...
Nonlinear Dynamics Convolutional Neural Networks Image Processing, Computer-Assisted Algorithms Brain Neoplasms Humans Neural Networks, Computer
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Developing an innovative lung cancer detection model for accurate diagnosis in AI healthcare systems.

Scientific reports Jul 2, 2025
Accurate Lung cancer (LC) identification is a big medical problem in the AI-based healthcare systems. Various deep learning-based methods have been proposed for Lung cancer diagnosis. In this study, we proposed a Deep learning techniques-based integr...
Diagnosis, Computer-Assisted Deep Learning Delivery of Health Care Tomography, X-Ray Computed Lung Neoplasms Humans Neural Networks, Computer Algorithms
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Few-shot network intrusion detection method based on multi-domain fusion and cross-attention.

PloS one Jul 2, 2025
Deep learning methods have achieved remarkable progress in network intrusion detection. However, their performance often deteriorates significantly in real-world scenarios characterized by limited attack samples and substantial domain shifts. To addr...
Algorithms Deep Learning Neural Networks, Computer
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Towards real-world monitoring scenarios: An improved point prediction method for crowd counting based on contrastive learning.

PloS one Jul 2, 2025
In open environments, complex and variable backgrounds and dense multi-scale targets are two key challenges for crowd counting. Due to the reliance on supervised learning with labeled data, current methods struggle to adapt to crowd detection in comp...
Crowding Machine Learning Humans Algorithms Neural Networks, Computer
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Particle swarm optimization-based NLP methods for optimizing automatic document classification and retrieval.

PloS one Jul 2, 2025
Text classification plays an essential role in natural language processing and is commonly used in tasks like categorizing news, sentiment analysis, and retrieving relevant information. [0pc][-9pc]Please check and confirm the inserted city and countr...
Information Storage and Retrieval Particle Swarm Optimization Humans Deep Learning Natural Language Processing Machine Learning Algorithms
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Enhancing IDS for the IoMT based on advanced features selection and deep learning methods to increase the model trustworthiness.

PloS one Jul 2, 2025
Information technology has significantly impacted society. IoT and its specialized variant, IoMT, enable remote patient monitoring and improve healthcare. While it contributes to improving healthcare services, it may pose significant security challen...
Algorithms Deep Learning Internet of Things Humans Neural Networks, Computer
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