Multimodal Learning, Deep Learning, Financial Statement Analysis, LSTM, FinBERT, Financial Text Mining, Automated Interpretation, Financial Analytics Share and Cite: Wandwi, G. and Mbekomize, C. (2025 ...
Agenda-driven opinion mills, designed more to sway public opinion than serve the public, might be harder to spot if AI is used to make them sound more original and rational. So the race is on to stay ...
Two-photon imaging and ocular dominance mapping. A. Optical windows for imaging of two macaques. Green crosses indicate the regions for viral vector injections, and yell ...
WASHINGTON, Nov 12 (Reuters) - The head of the U.S. Securities and Exchange Commission said on Wednesday the agency would soon consider establishing a classification for digital assets to help ...
In the current inference of reward models, classification models are often used, such as the skywork reward model. There is an issue where the concepts and actual functions of several existing ...
Advanced ECG feature extraction and SVM classification for predicting defibrillation success in OHCA
Out-of-hospital cardiac arrest (OHCA) represents a critical challenge for emergency medical services, with the necessity for rapid and accurate prediction of defibrillation outcomes to enhance patient ...
Spinal health forms the cornerstone of the overall human body functionality with the lumbar spine playing a critical role and prone to various types of injuries due to inflammation and diseases, ...
When you’re a small business, you may not have the resources (nor the need) for a full-time staff. You might choose to have one or two employees who work part-time, one or two who work full-time, or, ...
Abstract: This research presents an efficient soil classification approach using a hybrid model that combines the VGG16 deep learning architecture with a Support Vector Machine (SVM) classifier. The ...
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