AIMC Topic: Algorithms

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HSPC-Net: A hierarchical shape-preserving completion network for machine part point cloud completion.

PloS one
With the continuous advancement of 3D scanning technology, point cloud data of mechanical components has found widespread applications in industrial design, manufacturing, and repair. However, due to limitations in scanning precision and acquisition ...

A novel multi-modal retrieval framework for tracking vehicles using natural language descriptions.

PloS one
Recent advances in multimodal and contrastive learning have significantly enhanced image and video retrieval capabilities. This fusion provides numerous opportunities for multi-dimensional and multi-view retrieval, especially in multi-camera surveill...

Automated weed and crop recognition and classification model using deep transfer learning with optimization algorithm.

Scientific reports
Weeds and crops contribute to a endless resistance for similar assets, which leads to potential declines in crop production and enlarged agricultural expenses. Conventional models of weed control like extensive pesticide use, appear with the hassle o...

Diabetic retinopathy classification using a multi-attention residual refinement architecture.

Scientific reports
Diabetic Retinopathy (DR) is a complication caused by diabetes that can destroy the retina, leading to blurred vision and even blindness. We propose a multi-attention residual refinement architecture that enhances conventional CNN performance through...

AI simulation models for diagnosing disabilities in smart electrical prosthetics using bipolar fuzzy decision making based on choquet integral.

Scientific reports
The integration of AI simulation models within smart electrical prosthetic systems represents a significant advancement in disability disease diagnosis. However, the selection and evaluation of these AI models interpret some multi-criteria decision-m...

An ensemble of deep representation learning with metaheuristic optimisation algorithm for critical health monitoring using internet of medical things.

Scientific reports
The Internet of Things (IoT) plays a significant part in the healthcare field. The growth of smart devices, smart sensors, and advanced lightweight communication protocols has created an opportunity to connect medical devices for monitoring biomedica...

Feature fusion and selection using handcrafted vs. deep learning methods for multimodal hand biometric recognition.

Scientific reports
Feature fusion is a widely adopted strategy in multi-biometrics to enhance reliability, performance and real-world applicability. While combining multiple biometric sources can improve recognition accuracy, practical performance depends heavily on fe...

Distilling knowledge from graph neural networks trained on cell graphs to non-neural student models.

Scientific reports
The development and refinement of artificial intelligence (AI) and machine learning algorithms have been an area of intense research in radiology and pathology, particularly for automated or computer-aided diagnosis. Whole Slide Imaging (WSI) has eme...

Pulmonary diseases accurate recognition using adaptive multiscale feature fusion in chest radiography.

Scientific reports
Pulmonary disease can severely impair respiratory function and be life-threatening. Accurately recognizing pulmonary diseases in chest X-ray images is challenging due to overlapping body structures and the complex anatomy of the chest. We propose an ...

Learning spatio-temporal context for basketball action pose estimation with a multi-stream network.

Scientific reports
Accurate athlete pose estimation in basketball is crucial for game analysis, player training, and tactical decision-making. However, existing pose estimation methods struggle to effectively address common challenges in basketball, such as motion blur...