Abstract: Accurate prediction of joint angles and moments is crucial for understanding human gait and developing assistive technologies, such as exoskeletons and prosthetics. This study compares the ...
Classification (TF-Cls) 'Clear', 'Closed', 'Broken', 'Blur' 6,247 3632 × 2760 4,687:561:999(75%:9%:16%) Object Detection (TF-Det) Inside, Middle, Outside Rings 4,736 ...
Two important architectures are Artificial Neural Networks and Long Short-Term Memory networks. LSTM networks are especially useful for financial applications because they are designed to work with ...
Abstract: AI-based sensor placement for anomaly detection in water distribution systems (WDS) enhances system reliability and efficiency. Advanced WDS are attractive targets for malicious actors who ...
The CMS Innovation Center has debuted a new model to encourage the use of technology to treat chronic diseases, which could be a boon for health tech companies that have struggled with reimbursement.
walmart_dataset/ ├── data/ # Data files │ ├── train.csv │ ├── test.csv │ ├── stores.csv │ ├── features.csv │ └── processed/ # Preprocessed data ├── ingestion/ # Data preprocessing │ └── preprocess ...
Surveying the state of America’s artificial intelligence landscape earlier this year, Misha Laskin was concerned. Laskin, a theoretical physicist and machine learning engineer who helped create some ...
Introduction: Cataracts, the leading cause of reversible blindness globally, require timely detection and intervention for effective prevention of blindness. Artificial intelligence can assist in ...
In 2024, Microsoft introduced small language models (SLMs) to customers, starting with the release of Phi (opens in new tab) models on Microsoft Foundry (opens in new tab), as well as deploying Phi ...
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