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Found 10 papers, 1 papers with code
ABO3 Perovskites' Formability Prediction and Crystal Structure Classification using Machine Learning
Renewable energy sources are of great interest to combat global warming, yet promising sources like photovoltaic (PV) cells are not efficient and cheap enough to act as an alternative to traditional energy sources.
A Prospective Approach for Human-to-Human Interaction Recognition from Wi-Fi Channel Data using Attention Bidirectional Gated Recurrent Neural Network with GUI Application Implementation
Our study, on the other hand, utilizes a Multiple Input Multiple Output radio link between a WiFi router and an Intel 5300 NIC, with the time-series Wi-Fi channel state information based on 2. 4 GHz channel frequency for mutual human-to-human concurrent interaction recognition.
Prediction Model for Mortality Analysis of Pregnant Women Affected With COVID-19
Due to the accuracy of the model, pregnant mother can expect immediate medical treatment based on their possibility of death due to the virus.
Telehealthcare and Telepathology in Pandemic: A Noninvasive, Low-Cost Micro-Invasive and Multimodal Real-Time Online Application for Early Diagnosis of COVID-19 Infection
In this research, a unique cloud-based application for the early identification of individuals who may have COVID-19 infection is proposed.
Survival Prediction of Heart Failure Patients using Stacked Ensemble Machine Learning Algorithm
Cardiovascular disease, especially heart failure is one of the major health hazard issues of our time and is a leading cause of death worldwide.
Identification of the Resting Position Based on EGG, ECG, Respiration Rate and SpO2 Using Stacked Ensemble Learning
Rest is essential for a high-level physiological and psychological performance.
Development of a Risk-Free COVID-19 Screening Algorithm from Routine Blood Tests Using Ensemble Machine Learning
Intrigued by the parametric deviations in immunological and hematological profile of a COVID patient, this research work leveraged the concept of COVID-19 detection by proposing a risk-free and highly accurate Stacked Ensemble Machine Learning model to identify a COVID patient from communally available-widespread-cheap routine blood tests which gives a promising accuracy, precision, recall and F1-score of 100%.
Downlink Performance Enhancement of High Velocity Users in 5G Networks by Configuring Antenna System
In this study we proffer to implement antenna diversity in closed loop spatial multiplexing MIMO transmission scheme by operating more number of reception antennas than the number of transmission antennas for ameliorating the downlink performance of high-velocity users in case of single user MIMO technology.
Configuring Antenna System to Enhance the Downlink Performance of High Velocity Users in 5G MU-MIMO Networks
Massive MIMO tackles the rising data rate with the increase in the number of antenna.
Impact of Receiver Antenna Polarization and Resource Scheduler on the Downlink Performance of High Velocity Users in 5G Millimeter Wave Small Cell Technology
Using closed loop spatial multiplexing transmission scheme this study analyses the effect of receiver antenna polarization and types of resource scheduler used in base station on the downlink performance of mobile users (0-120kmph) in the mmWave small cell network.
