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Toplam kayıt 5, listelenen: 1-5
Artificial intelligence technology for diagnosing COVID-19 cases: a review of substantial issues
(VERDUCI PUBLISHER, VIA GREGORIO VII, ROME 186-00165, ITALY, 2020)
Today, the world suffers from the
rapid spread of COVID-19, which has claimed
thousands of lives. Unfortunately, its treatment
is yet to be developed. Nevertheless, this phenomenon can be decelerated by diagnosing
and ...
Toward Optimal Cost-Energy Management Green Framework for Sustainable Future Wireless Networks
(TECH SCIENCE PRESS, 871 CORONADO CENTER DR, SUTE 200, HENDERSON, NV 89052, 2021)
The design of green cellular networking according to the traffic arrivals has the capability to reduce the overall energy consumption to a cluster in a cost-effective way. The cell zooming approach has appealed much attention ...
Application of machine intelligence technology in the detection of vaccines and medicines for SARS-CoV-2
(VERDUCI PUBLISHER, VIA GREGORIO VII, ROME 186-00165, ITALY, 2020)
Researchers have found many
similarities between the 2003 severe acute respiratory syndrome (SARS) virus and SARSCoV-19 through existing data that reveal the
SARS’s cause. Artificial intelligence (AI) learning models can ...
Deep learning applications to combat the dissemination of COVID-19 disease: a review
(VERDUCI PUBLISHER, VIA GREGORIO VII, ROME 186-00165, ITALY, 2020)
Recent Coronavirus (COVID-19)
is one of the respiratory diseases, and it is
known as fast infectious ability. This dissemination can be decelerated by diagnosing and
quarantining patients with COVID-19 at early
stages, ...
Sustainable Development of a Direct Methanol Fuel Cell Using the Enhanced LSHADE Algorithm and Newton Raphson Method
(MDPIST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND, 2024)
This paper presents a mathematical model for stacks of direct methanol fuel cells (DMFCs)
using an optimised method. In order to reduce the sum of squared errors (SSE) in calculating the
polarisation profile, the suggested ...