BTC mining industry finances AI gold rush with $11B convertible bond boom

Convertible bond issuance from Bitcoin mining companies has risen sharply since the April 2024 halving event, totaling about ...
IEEE

Enhancing Ovarian Tumor Dataset Analysis Through Data Mining Preprocessing Techniques

Abstract: The early detection and treatment of ovarian cancer face considerable hurdles due to its complexity and lethal nature. Because of its high death rates and heterogeneity, ovarian cancer poses ...
IEEE

EEG-based Major Depressive Disorder Detection Using Data Mining Techniques

Abstract: Major depressive disorder (MDD) is a common mental illness characterized by a persistent feeling of low mood, sadness, fatigue, despair, etc.. In a serious case, patients with MDD may have ...
IEEE

Privacy-Preserving Data Mining Techniques in Big Data Environments

Abstract: The rapid increase in the data in every room has fueled the implementation of big data analytics. There is, however, a significant concern of privacy brought about by the use of such big, ...
IEEE

The Impact of Different Data Mining Classification Techniques in Different Datasets

Abstract: Data Mining is the process of finding knowledge through the processing of massive amounts of data from different viewpoints and combining them into valuable information; data mining has been ...
IEEE

HyperCalm Sketch: One-Pass Mining Periodic Batches in Data Streams

Abstract: Batch is an important pattern in data streams, which refers to a group of identical items that arrive closely. We find that some special batches that arrive periodically are of great value.
IEEE

Feature Parameters Computation of Underground Coal Mining Space Coupled Probability Integral Model With SBAS-InSAR Subsidence Data

Abstract: With the development of ground observation technology, noncontact localization of disordered goaf can be realized, which is the key to suppressing ground disasters and guiding government ...
IEEE

Social Media Driven Big Data Analysis for Disaster Situation Awareness: A Tutorial

Abstract: Situational awareness tries to grasp the important events and circumstances in the physical world through sensing, communication, and reasoning. Tracking the evolution of changing situations ...
IEEE

A RoboStack Tutorial: Using the Robot Operating System Alongside the Conda and Jupyter Data Science Ecosystems

Abstract: The Robot Operating System (ROS) has become the de facto standard middleware in the robotics community [1]. ROS bundles everything, from low-level drivers to tools that transform among ...
IEEE

A Deep Learning-Based Data-Driven Approach for Predicting Mining Water Inrush From Coal Seam Floor Using Microseismic Monitoring Data

Abstract: Microseismic monitoring during mining operations generates spatiotemporal data that could indicate strata fractures and deformations leading to water inrush anomalies. However, current water ...
IEEE

A ConvLSTM Neural Network Model for Spatiotemporal Prediction of Mining Area Surface Deformation Based on SBAS-InSAR Monitoring Data

Abstract: The surface deformation caused by underground mining leads to damage to surface buildings and brings potential safety hazards and property losses. The demand for reliable prediction methods ...