AIMC Topic: Neural Networks, Computer

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Computer Viewing Model for Classification of Erythrocytes Infected with spp. Applied to Malaria Diagnosis Using Optical Microscope.

Medicina (Kaunas, Lithuania) May 21, 2025
Malaria is a disease that can result in a variety of complications. Diagnosis is carried out by an optical microscope and depends on operator experience. The use of artificial intelligence to identify morphological patterns in erythrocytes would imp...
Humans Algorithms Malaria Microscopy Neural Networks, Computer Machine Learning Erythrocytes Plasmodium
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A generative adversarial network-based accurate masked face recognition model using dual scale adaptive efficient attention network.

Scientific reports May 21, 2025
Masked identification of faces is necessary for authentication purposes. Face masks are frequently utilized in a wide range of professions and sectors including public safety, health care, schooling, catering services, production, sales, and shipping...
Facial Recognition Generative Adversarial Networks Image Processing, Computer-Assisted Automated Facial Recognition Biometric Identification Masks Face Humans Neural Networks, Computer Deep Learning
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Time-series visual representations for sleep stages classification.

PloS one May 21, 2025
Polysomnography is the standard method for sleep stage classification; however, it is costly and requires controlled environments, which can disrupt natural sleep patterns. Smartwatches offer a practical, non-invasive, and cost-effective alternative ...
Humans Neural Networks, Computer Male Algorithms Polysomnography Sleep Stages Female Adult
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Taco-DDI: accurate prediction of drug-drug interaction events using graph transformer-based architecture and dynamic co-attention matrices.

Neural networks : the official journal of the International Neural Network Society May 20, 2025
Drug-drug interactions (DDIs) are critical in pharmaceutical research, as adverse interactions can pose significant risks for patient treatment plans. Accurate prediction of DDI events risk levels can provide valuable guidance for designing safer and...
Algorithms Drug Interactions Neural Networks, Computer Machine Learning Humans
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Artificial intelligence (AI)-driven morphological assessment of zebrafish larvae for developmental toxicity chemical screening.

Aquatic toxicology (Amsterdam, Netherlands) May 20, 2025
Screening chemicals using the zebrafish embryo developmental toxicity assay requires visual assessment of larval morphological changes based on images by experienced screeners. The process is time-consuming and prone to subjectivity. However, deep le...
Embryo, Nonmammalian Animals Deep Learning Larva Zebrafish Neural Networks, Computer Embryonic Development Image Processing, Computer-Assisted Artificial Intelligence Toxicity Tests Water Pollutants, Chemical
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Network models incorporating chloride dynamics predict optimal strategies for terminating status epilepticus.

Neurobiology of disease May 20, 2025
Status epilepticus (SE), seizures lasting beyond five minutes, is a medical emergency commonly treated with benzodiazepines which enhance GABA receptor (GABAR) conductance. Despite widespread use, benzodiazepines fail in over one-third of patients, p...
Neural Networks, Computer Animals Humans Chlorides Electroencephalography Models, Neurological Nerve Net Status Epilepticus Action Potentials Anticonvulsants Receptors, GABA-A Benzodiazepines
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Forecasting malaria cases using climate variability in Sierra Leone.

Malaria journal May 20, 2025
BACKGROUND: Malaria continues to pose a public health challenge in Sierra Leone, where timely and accurate forecasting can guide more effective interventions. Although seasonal models such as Seasonal Autoregressive Integrated Moving Average (SARIMA)...
Malaria Seasons Sierra Leone Climate Incidence Models, Statistical Neural Networks, Computer Forecasting Humans
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Path planning algorithm for logistics autonomous vehicles at Cainiao stations based on multi-sensor data fusion.

PloS one May 20, 2025
Efficient path planning and obstacle avoidance in a complex and dynamic environment is one of the key challenges of unmanned vehicle logistics distribution, especially in the logistics scene of Cainiao Station, which involves crowded communities and ...
Models, Theoretical Unmanned Aerial Devices Neural Networks, Computer Algorithms Humans
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Adaptive Diversity Induced Reweighting for long-tailed classification.

Neural networks : the official journal of the International Neural Network Society May 19, 2025
Real-world large-scale data often exhibit a long-tailed distribution, making a classifier difficult to generalize well on tail categories. A straightforward and effective approach to tackling this issue is reweighting. Traditionally, the weight of a ...
Algorithms Humans Neural Networks, Computer
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PhyTransformer: A unified framework for learning spatial-temporal representation from physiological signals.

Neural networks : the official journal of the International Neural Network Society May 19, 2025
As a modal of physiological information, electroencephalogram (EEG), surface electromyography (sEMG), and eye tracking (ET) signals are widely used to decode human intention, promoting the development of human-computer interaction systems. Extensive ...
Neural Networks, Computer Humans Eye-Tracking Technology Signal Processing, Computer-Assisted Electroencephalography Electromyography
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