New era of artificial intelligence and machine learning-based detection, diagnosis, and therapeutics in Parkinson's disease
Parkinson's disease (PD) is characterized by the loss of neuronal cells, which leads to
synaptic dysfunction and cognitive defects. Despite the advancements in treatment …
synaptic dysfunction and cognitive defects. Despite the advancements in treatment …
Deep learning approaches for human gait recognition: A review
Many biometric authentication techniques have been defined over the years; of these
techniques, Human Gait recognition has gathered popularity over the years due to its ability …
techniques, Human Gait recognition has gathered popularity over the years due to its ability …
[HTML][HTML] A comparative assessment of artificial intelligence models used for early prediction and evaluation of chronic kidney disease
Abstract Chronic Kidney Disease (CKD) is one of the most prevalent and fatal diseases
influencing people on a larger that remains dormant until irreversible damage has been …
influencing people on a larger that remains dormant until irreversible damage has been …
FuzzyNet-Based Modelling Smart Traffic System in Smart Cities Using Deep Learning Models
The current lockouts, climatic variations, population expansion, and constraints on
convenience and natural resource access are some of the factors that are making the need …
convenience and natural resource access are some of the factors that are making the need …
[Retracted] Enhance‐Net: An Approach to Boost the Performance of Deep Learning Model Based on Real‐Time Medical Images
Real‐time medical image classification is a complex problem in the world. Using IoT
technology in medical applications assures that the healthcare sectors improve the quality of …
technology in medical applications assures that the healthcare sectors improve the quality of …
Energy Efficient Protocol for Lifetime Prediction of Wireless Sensor Network using Multivariate Polynomial Regression Model
The sensor network performs gathering, monitoring, and tracking of objects in the given
area. The sensor nodes are normally distributed randomly in the network area for collecting …
area. The sensor nodes are normally distributed randomly in the network area for collecting …
An ensemble learning approach for chronic kidney disease classification
Chronic kidney disease (CKD) is a potentially fatal condition that is difficult to identify early
due to the absence of symptoms. The suggested study's goal is to create and verify a …
due to the absence of symptoms. The suggested study's goal is to create and verify a …
FBCHS: Fuzzy Based Cluster Head Selection Protocol to Enhance Network Lifetime of WSN
With enormous evolution in Microelectronics, Wireless Sensor Networks (WSNs) have
played a vital role in every aspect of daily life. Technological advancement has led to new …
played a vital role in every aspect of daily life. Technological advancement has led to new …
Early warning signs of Parkinson's disease prediction using machine learning technique
Brain cells breakdown is primary cause of Parkinson's disease (PD) that create dopamine. A
neurotransmitter that allows brain cells to connect with each other. Dopamine-producing …
neurotransmitter that allows brain cells to connect with each other. Dopamine-producing …
Energy efficient routing protocol using next cluster head selection process in two-level hierarchy for wireless sensor network
Wireless Sensor Network (WSN) has played a vital role in monitoring fire alarms, smoke,
and security in smart buildings and shopping malls, as well as monitoring the environment …
and security in smart buildings and shopping malls, as well as monitoring the environment …