AIMC Topic: Deep Learning

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Deep Learning-Assisted Discovery of Protein Entangling Motifs.

Biomacromolecules Feb 12, 2025
Natural topological proteins exhibit unique properties including enhanced stability, controlled quaternary structures, and dynamic switching properties, highlighting topology as a unique dimension in protein engineering. Although artificial design an...
Protein Engineering Amino Acid Motifs Deep Learning Proteins Amino Acid Sequence
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Deep learning-based prediction of possibility for immediate implant placement using panoramic radiography.

Scientific reports Feb 12, 2025
In this study, we investigated whether deep learning-based prediction of immediate implant placement is possible. Panoramic radiographs of 201 patients with 874 teeth (Group 1: 440 teeth difficult to place implant immediately after extraction, Group ...
Middle Aged Deep Learning Humans Radiography, Panoramic Dental Implants Immediate Dental Implant Loading Adult Female Male Aged
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Learning based lower limb joint kinematic estimation using open source IMU data.

Scientific reports Feb 12, 2025
This study introduces a deep learning framework for estimating lower-limb joint kinematics using inertial measurement units (IMUs). While deep learning methods avoid sensor drift, extensive calibration, and complex setup procedures, they require subs...
Gait Gait Analysis Biomechanical Phenomena Male Deep Learning Humans Female Lower Extremity Adult
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Automated grading of oleaster fruit using deep learning.

Scientific reports Feb 12, 2025
The agriculture sector is crucial to many economies, particularly in developing regions, with post-harvest technology emerging as a key growth area. The oleaster, valued for its nutritional and medicinal properties, has traditionally been graded manu...
Fruit Algorithms Deep Learning
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Deep learning-based quick MLC sequencing for MRI-guided online adaptive radiotherapy: a feasibility study for pancreatic cancer patients.

Physics in medicine and biology Feb 12, 2025
One bottleneck of magnetic resonance imaging (MRI)-guided online adaptive radiotherapy is the time-consuming daily online replanning process. The current leaf sequencing method takes up to 10 min, with potential dosimetric degradation and small segme...
Feasibility Studies Radiotherapy Planning, Computer-Assisted Magnetic Resonance Imaging Humans Radiotherapy Dosage Deep Learning Pancreatic Neoplasms Radiotherapy, Image-Guided
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Advances of deep Neural Networks (DNNs) in the development of peptide drugs.

Future medicinal chemistry Feb 12, 2025
Peptides are able to bind to difficult disease targets with high potency and specificity, providing great opportunities to meet unmet medical requirements. Nevertheless, the unique features of peptides, such as their small size, high structural flexi...
Humans Neural Networks, Computer Deep Learning Drug Development Peptides Drug Design
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A novel deep learning-based framework with particle swarm optimisation for intrusion detection in computer networks.

PloS one Feb 12, 2025
Intrusion detection plays a significant role in the provision of information security. The most critical element is the ability to precisely identify different types of intrusions into the network. However, the detection of intrusions poses a importa...
Computer Security Algorithms Humans Deep Learning Neural Networks, Computer
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Diffusion-driven multi-modality medical image fusion.

Medical & biological engineering & computing Feb 11, 2025
Multi-modality medical image fusion (MMIF) technology utilizes the complementarity of different modalities to provide more comprehensive diagnostic insights for clinical practice. Existing deep learning-based methods often focus on extracting the pri...
Tomography, X-Ray Computed Deep Learning Humans Algorithms Multimodal Imaging Image Processing, Computer-Assisted Tomography, Emission-Computed, Single-Photon Magnetic Resonance Imaging
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Efficient detection of foodborne pathogens via SERS and deep learning: An ADMIN-optimized NAS-Unet approach.

Journal of hazardous materials Feb 11, 2025
Amid the increasing global challenge of foodborne diseases, there is an urgent need for rapid and precise pathogen detection methods. This study innovatively integrates surface-enhanced Raman Spectroscopy (SERS) with deep learning technology to devel...
Deep Learning Bacteria Neural Networks, Computer Foodborne Diseases Spectrum Analysis, Raman Food Microbiology
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Span-aware pre-trained network with deep information bottleneck for scientific entity relation extraction.

Neural networks : the official journal of the International Neural Network Society Feb 11, 2025
Scientific entity relation extraction intends to promote the performance of each subtask through exploring the contextual representations with rich scientific semantics. However, most of existing models encounter the dilemma of scientific semantic di...
Semantics Humans Neural Networks, Computer Deep Learning
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