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Found 6 papers, 0 papers with code
Numerical Claim Detection in Finance: A New Financial Dataset, Weak-Supervision Model, and Market Analysis
In this paper, we investigate the influence of claims in analyst reports and earnings calls on financial market returns, considering them as significant quarterly events for publicly traded companies.
Capability enhancement of the X-ray micro-tomography system via ML-assisted approaches
Ring artifacts in X-ray micro-CT images are one of the primary causes of concern in their accurate visual interpretation and quantitative analysis.
Deep Learning assisted microwave-plasma interaction based technique for plasma density estimation
The electron density is a key parameter to characterize any plasma.
Deep Learning Architecture Based Approach For 2D-Simulation of Microwave Plasma Interaction
The microwave propagation characteristics in complex plasma medium pertaining to transmission, absorption and reflection primarily depends on the ratio of electromagnetic (EM) wave frequency and electron plasma frequency, and the plasma density profile.
Strategizing University Rank Improvement using Interpretable Machine Learning and Data Visualization
Subsequently, we present a novel idea of classifying the rankings data using Decision Tree (DT) based algorithms and retrieve decision paths for rank improvement using data visualization techniques.
Extracting Electron Scattering Cross Sections from Swarm Data using Deep Neural Networks
Since the 1960s researchers have attempted to solve the inverse swarm problem of obtaining cross sections from swarm data; but the solutions are not necessarily unique.
