5G system overview for ongoing smart applications: structure, requirements, and specifications
Fifth‐generation (5G) cellular networks are state‐of‐the‐art wireless technologies
revolutionizing all wireless systems. The fundamental goals of 5G are to increase network …
revolutionizing all wireless systems. The fundamental goals of 5G are to increase network …
Advancements in traditional machine learning techniques for detection and diagnosis of fatal cancer types: Comprehensive review of biomedical imaging datasets
Accurate cancer detection and diagnosis are imperative for advancing patient outcomes and
mitigating mortality rates. This extensive review scrutinizes the progress within the domain of …
mitigating mortality rates. This extensive review scrutinizes the progress within the domain of …
Diagnosis of oral squamous cell carcinoma using deep neural networks and binary Particle Swarm optimization on histopathological images: an AIoMT approach
Overall prediction of oral cavity squamous cell carcinoma (OCSCC) remains inadequate, as
more than half of patients with oral cavity cancer are detected at later stages. It is generally …
more than half of patients with oral cavity cancer are detected at later stages. It is generally …
Development of a hybrid support vector machine with grey wolf optimization algorithm for detection of the solar power plants anomalies
Solar energy utilization in the industry has grown substantially, resulting in heightened
recognition of renewable energy sources from power plants and intelligent grid systems …
recognition of renewable energy sources from power plants and intelligent grid systems …
Analysis of Colorectal and Gastric Cancer Classification: A Mathematical Insight Utilizing Traditional Machine Learning Classifiers
Cancer remains a formidable global health challenge, claiming millions of lives annually.
Timely and accurate cancer diagnosis is imperative. While numerous reviews have explored …
Timely and accurate cancer diagnosis is imperative. While numerous reviews have explored …
Automatic detection of oral squamous cell carcinoma from histopathological images of oral mucosa using deep convolutional neural network
Worldwide, oral cancer is the sixth most common type of cancer. India is in 2nd position, with
the highest number of oral cancer patients. To the population of oral cancer patients, India …
the highest number of oral cancer patients. To the population of oral cancer patients, India …
Development of a hybrid LSTM with chimp optimization algorithm for the pressure ventilator prediction
The utilization of mechanical ventilation is of utmost importance in the management of
individuals afflicted with severe pulmonary conditions. During periods of a pandemic, it …
individuals afflicted with severe pulmonary conditions. During periods of a pandemic, it …
RETRACTED ARTICLE: Industry 4.0 transformation: adaptive coati deep convolutional neural network-based oral cancer diagnosis in histopathological images for …
Oral cancer is common cancer that appears in the mouth, posing a significant threat to public
health due to its high mortality rate. Oral Squamous Cell Carcinoma (OSCC) is the most …
health due to its high mortality rate. Oral Squamous Cell Carcinoma (OSCC) is the most …
Design and development of an intelligent neck and head support system based on eye blink recognition for cervical dystonia
Cervical Dystonia, also known as spasmodic torticollis, is a painful disorder in which the
neck muscles spasm, causing the head to twist or swivel, pull in one direction, or shake …
neck muscles spasm, causing the head to twist or swivel, pull in one direction, or shake …
[PDF][PDF] Hyperparameter Optimization of Regression Model for Electrical Load Forecasting During the COVID-19 Pandemic Lockdown Period.
Due to global lockdown policies implemented against COVID-19, there has been an impact
on electricity consumption. Several countries have emphasized the significance of ensuring …
on electricity consumption. Several countries have emphasized the significance of ensuring …