AIMC Journal:
Scientific reports

Showing 1211 to 1220 of 5366 articles

Logical reasoning for human activity recognition based on multisource data from wearable device.

Scientific reports Jan 2, 2025
Smart wearable devices detection and recording of people's everyday activities is critical for health monitoring, helping persons with disabilities, and providing care for the elderly. Most of the research that is being conducted uses a machine learn...
Male Machine Learning Wearable Electronic Devices Activities of Daily Living Female Logic Adult Human Activities Humans Artificial Intelligence
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Weakly supervised deep learning-based classification for histopathology of gliomas: a single center experience.

Scientific reports Jan 2, 2025
Multiple artificial intelligence systems have been created to facilitate accurate and prompt histopathological diagnosis of tumors using hematoxylin-eosin-stained slides. We aimed to investigate whether weakly supervised deep learning can aid in glio...
Adult Area Under Curve Humans Middle Aged Brain Neoplasms Deep Learning Supervised Machine Learning Female Male Glioma
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Enhancing the performance of SSVEP-based BCIs by combining task-related component analysis and deep neural network.

Scientific reports Jan 2, 2025
Steady-State Visually Evoked Potential (SSVEP) signals can be decoded by either a traditional machine learning algorithm or a deep learning network. Combining the two methods is expected to enhance the performance of an SSVEP-based brain-computer int...
Brain-Computer Interfaces Evoked Potentials, Visual Deep Learning Electroencephalography Signal Processing, Computer-Assisted Neural Networks, Computer Humans Algorithms
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The development of an efficient artificial intelligence-based classification approach for colorectal cancer response to radiochemotherapy: deep learning vs. machine learning.

Scientific reports Jan 2, 2025
Colorectal cancer (CRC) is a form of cancer that impacts both the rectum and colon. Typically, it begins with a small abnormal growth known as a polyp, which can either be non-cancerous or cancerous. Therefore, early detection of colorectal cancer as...
Deep Learning Humans Female Decision Trees Artificial Intelligence Chemoradiotherapy Colorectal Neoplasms Machine Learning
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Drug molecular representations for drug response predictions: a comprehensive investigation via machine learning methods.

Scientific reports Jan 2, 2025
The integration of drug molecular representations into predictive models for Drug Response Prediction (DRP) is a standard procedure in pharmaceutical research and development. However, the comparative effectiveness of combining these representations ...
Pharmaceutical Preparations Humans Drug Discovery Machine Learning Deep Learning Precision Medicine Drug Repositioning
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A deep learning-based multi-view approach to automatic 3D landmarking and deformity assessment of lower limb.

Scientific reports Jan 2, 2025
Anatomical Landmark detection in CT-Scan images is widely used in the identification of skeletal disorders. However, the traditional process of manually detecting anatomical landmarks, especially in three dimensions, is both time-consuming and prone ...
Anatomic Landmarks Adult Male Deep Learning Imaging, Three-Dimensional Lower Extremity Neural Networks, Computer Tomography, X-Ray Computed Female Humans
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Gait-based Parkinson's disease diagnosis and severity classification using force sensors and machine learning.

Scientific reports Jan 2, 2025
A dual-stage model for classifying Parkinson's disease severity, through a detailed analysis of Gait signals using force sensors and machine learning approaches, is proposed in this study. Parkinson's disease is the primary neurodegenerative disorder...
Machine Learning Female Aged Humans Case-Control Studies Parkinson Disease Gait Male Middle Aged Severity of Illness Index
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pACP-HybDeep: predicting anticancer peptides using binary tree growth based transformer and structural feature encoding with deep-hybrid learning.

Scientific reports Jan 2, 2025
Worldwide, Cancer remains a significant health concern due to its high mortality rates. Despite numerous traditional therapies and wet-laboratory methods for treating cancer-affected cells, these approaches often face limitations, including high cost...
Deep Learning Neoplasms Humans Computational Biology Peptides Algorithms Antineoplastic Agents
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Tumor detection on bronchoscopic images by unsupervised learning.

Scientific reports Jan 2, 2025
The diagnosis and early identification of intratracheal tumors relies on the experience of the operators and the specialists. Operations by physicians with insufficient experience may lead to misdiagnosis or misjudgment of tumors. To address this iss...
Bronchoscopy Unsupervised Machine Learning Humans Algorithms Image Processing, Computer-Assisted Lung Neoplasms
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DNA promoter task-oriented dictionary mining and prediction model based on natural language technology.

Scientific reports Jan 2, 2025
Promoters are essential DNA sequences that initiate transcription and regulate gene expression. Precisely identifying promoter sites is crucial for deciphering gene expression patterns and the roles of gene regulatory networks. Recent advancements in...
Humans Neural Networks, Computer Deep Learning DNA Computational Biology Data Mining Sequence Analysis, DNA Promoter Regions, Genetic Natural Language Processing
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