Machine learning methods for diagnosis of eye-related diseases: a systematic review study based on ophthalmic imaging modalities
Glaucoma, diabetic retinopathy, diabetic hypertension (DHR), Cataract, and age-related
macular degeneration are some of the most common and important retinal diseases. A …
macular degeneration are some of the most common and important retinal diseases. A …
Dynamic intelligence-driven engineering flooding attack prediction using ensemble learning
R Angeline, S Aarthi, R Regin… - Advances in Artificial and …, 2023 - igi-global.com
The rapid evolution of the Internet and communication technologies has fueled the
proliferation of wireless sensor network (WSN) technology, which is increasingly important in …
proliferation of wireless sensor network (WSN) technology, which is increasingly important in …
A comprehensive review of energy-efficiency of ventilation system using Artificial Intelligence
AS Hati - Renewable and Sustainable Energy Reviews, 2021 - Elsevier
Energy utilization throughout the world is expanding at an alarming rate. This has just
demonstrated its effect on the consumption of fuel resources and natural concerns (a drastic …
demonstrated its effect on the consumption of fuel resources and natural concerns (a drastic …
An Improvised Virtual Queue Algorithm to Manipulate the Congestion in High-Speed Network
In the recent technological era, advancement in the application allows faster transmission of
data massively over the network, and it leads to the emergence of challenges related to high …
data massively over the network, and it leads to the emergence of challenges related to high …
Pharmaceutical supply chain challenges and inventory management
The pharmaceutical humanitarian supply chain works tirelessly in an unstable, difficult
environment wrought by crises and epidemics. Increasing visibility along the medical supply …
environment wrought by crises and epidemics. Increasing visibility along the medical supply …
An adaptive neural fuzzy interface structure optimisation for prediction of energy consumption and airflow of a ventilation system
Coal mines are prone to fatal vulnerabilities due to improper airflow, a susceptible threat that
leads to vitiating safety and human resources. Hence, continuous monitoring of the …
leads to vitiating safety and human resources. Hence, continuous monitoring of the …
Convolutional neural network-long short term memory optimization for accurate prediction of airflow in a ventilation system
AS Hati - Expert Systems With Applications, 2022 - Elsevier
Poor airflow ventilation systems fetch a progressively critical challenge for many working
areas, which transmits many calamitous physical consequences on operatives' health and …
areas, which transmits many calamitous physical consequences on operatives' health and …
Strategic Leadership And Alignment Affect Organisation Performance
A fast-changing world has created a speed-obsessed society. In this development-seeking
and innovation-driven environment, leaders and individuals must adopt more strategic …
and innovation-driven environment, leaders and individuals must adopt more strategic …
Sensor-less speed control of ventilation system using extended Kalman filter for high performance
This research article corroborates an indirect field-oriented control (IFOC) with an Extended
Kalman Filter (EKF) based sensor-less speed control of the ventilation system at a low and …
Kalman Filter (EKF) based sensor-less speed control of the ventilation system at a low and …
An Analytical Study of Development in Response to the COVID-19 Pandemic
R Regin, SS Rajest - Central Asian Journal of …, 2023 - cajmns.centralasianstudies.org
The common cold, severe acute respiratory syndrome, and Middle East respiratory
syndrome are all examples of disorders that can be caused by coronaviruses, which are a …
syndrome are all examples of disorders that can be caused by coronaviruses, which are a …