AIMC Topic: Neural Networks, Computer

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Estimation of compressive strength of ultra-high performance lightweight concrete (UHPLC) using neural network.

PloS one Jul 7, 2025
High strength and lightweight are key trends in concrete development. Achieving a balance between these properties to produce high structural efficiency (strength-to-weight ratio) concrete is challenging due to the complex relationship between compre...
Sand Compressive Strength Construction Materials Materials Testing Coal Ash Neural Networks, Computer
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Application effect of short-term traffic flow prediction method based on CNNBLSTM algorithm.

PloS one Jul 7, 2025
Reduced forecast efficiency and accuracy are the result of traditional traffic flow prediction algorithms' inability to adequately capture the spatiotemporal characteristics and dynamic changes of traffic flow. To address this problem, this study pro...
Neural Networks, Computer Algorithms Forecasting Humans
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The application of improved AFCNN model for children's psychological emotion recognition.

Scientific reports Jul 6, 2025
Children's mental health has become an increasingly prominent concern in modern education. However, insufficient attention from schools and families to children's psychological and emotional issues has exacerbated the problem. This study proposes a p...
Male Child Attention Emotions Neural Networks, Computer Humans Female
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A Multi-kernel CNN model with attention mechanism for classification of citrus plants diseases.

Scientific reports Jul 5, 2025
One of the primary challenges leading to a significant reduction in agricultural production is the prevalence of diseases affecting citrus plants. Prevention and monitoring the spread of citrus plant diseases is crucial for maintaining citrus product...
Algorithms Image Processing, Computer-Assisted Plant Diseases Neural Networks, Computer Citrus
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Medical slice transformer for improved diagnosis and explainability on 3D medical images with DINOv2.

Scientific reports Jul 4, 2025
Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) are essential clinical cross-sectional imaging techniques for diagnosing complex conditions. However, large 3D datasets with annotations for deep learning are scarce. While methods like DI...
Tomography, X-Ray Computed Humans Breast Neoplasms Female Neural Networks, Computer Magnetic Resonance Imaging Deep Learning Imaging, Three-Dimensional Image Processing, Computer-Assisted
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A tailored deep learning approach for early detection of oral cancer using a 19-layer CNN on clinical lip and tongue images.

Scientific reports Jul 4, 2025
Early and accurate detection of oral cancer plays a pivotal role in improving patient outcomes. This research introduces a custom-designed, 19-layer convolutional neural network (CNN) for the automated diagnosis of oral cancer using clinical images o...
Neural Networks, Computer Deep Learning Mouth Neoplasms Humans Lip Image Processing, Computer-Assisted Tongue Neoplasms Early Detection of Cancer Tongue
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CNN based method for classifying cervical cancer cells in pap smear images.

Scientific reports Jul 4, 2025
The absence of reliable early treatment serves as one of the main causes of cervical cancer. Hence, it is crucial to detect cervical cancer early. The biggest challenge in diagnosing cervical cancer early is that it is asymptomatic until it develops ...
Female Uterine Cervical Neoplasms Papanicolaou Test Image Processing, Computer-Assisted Deep Learning Neural Networks, Computer Machine Learning Humans Vaginal Smears Early Detection of Cancer
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MultiFG: integrating molecular fingerprints and graph embeddings via attention mechanisms for robust drug side effect prediction.

Scientific reports Jul 4, 2025
Accurate prediction of drug side effect frequencies is critical for drug safety assessment but remains challenging due to the high cost of clinical trials and the limited generalizability of existing models. We propose Multi Fingerprint and Graph Emb...
Algorithms Drug-Related Side Effects and Adverse Reactions Humans Deep Learning Neural Networks, Computer
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Neural network assisted annotation and analysis tool to study in-vivo foveolar cone photoreceptor topography.

Scientific reports Jul 4, 2025
The foveola, the central region of the human retina, plays a crucial role in sharp color vision and is challenging to study due to its unique anatomy and technical limitations in imaging. We present ConeMapper, an open-source MATLAB software that int...
Fovea Centralis Ophthalmoscopy Retinal Cone Photoreceptor Cells Software Image Processing, Computer-Assisted Humans Neural Networks, Computer
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Intelligent brain tumor detection using hybrid finetuned deep transfer features and ensemble machine learning algorithms.

Scientific reports Jul 4, 2025
Brain tumours (BTs) are severe neurological disorders. They affect more than 308,000 people each year worldwide. The mortality rate is over 251,000 deaths annually (IARC, 2020 reports). Detecting BTs is complex because they vary in nature. Early diag...
Deep Learning Support Vector Machine Algorithms Brain Neoplasms Magnetic Resonance Imaging Humans Neural Networks, Computer Machine Learning
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