LCAHA: A hybrid artificial hummingbird algorithm with multi-strategy for engineering applications
Abstract The recently introduced Artificial Hummingbird Algorithm (AHA) exhibits competitive
performance in develo** optimization concerns. However, AHA has an imbalance …
performance in develo** optimization concerns. However, AHA has an imbalance …
Handcrafted deep-feature-based brain tumor detection and classification using mri images
An abnormal growth of cells in the brain, often known as a brain tumor, has the potential to
develop into cancer. Carcinogenesis of glial cells in the brain and spinal cord is the root …
develop into cancer. Carcinogenesis of glial cells in the brain and spinal cord is the root …
An efficient secure sharing of electronic health records using IoT-based hyperledger blockchain
Abstract Electronic Health Record (EHR) systems are a valuable and effective tool for
exchanging medical information about patients between hospitals and other significant …
exchanging medical information about patients between hospitals and other significant …
Artificial hummingbird algorithm: Theory, variants, analysis, applications, and performance evaluation
Abstract The Artificial Hummingbird Algorithm (AHA) is a metaheuristic optimization
technique inspired by the behaviours and foraging strategies of hummingbirds. Known for …
technique inspired by the behaviours and foraging strategies of hummingbirds. Known for …
A gradient boosted decision tree-based influencer prediction in social network analysis
N Subramani… - Big Data and Cognitive …, 2023 - mdpi.com
Twitter, Instagram and Facebook are expanding rapidly, reporting on daily news, social
activities and regional or international actual occurrences. Twitter and other platforms have …
activities and regional or international actual occurrences. Twitter and other platforms have …
Machine learning analysis of RNA-seq data for diagnostic and prognostic prediction of colon cancer
Data from omics studies have been used for prediction and classification of various diseases
in biomedical and bioinformatics research. In recent years, Machine Learning (ML) …
in biomedical and bioinformatics research. In recent years, Machine Learning (ML) …
[HTML][HTML] Smart grid stability prediction using adaptive aquila optimizer and ensemble stacked bilstm
Background Smart grids, characterized by their ability to integrate renewable energy
sources and manage the dynamic balance between supply and demand, require …
sources and manage the dynamic balance between supply and demand, require …
Design of metaheuristic optimization with deep-learning-assisted solar-operated on-board smart charging station for mass transport passenger vehicle
Electric vehicles (EVs) have become popular in reducing the negative impact of ICE
automobiles on the environment. EVs have been predicted to be an important mode of mass …
automobiles on the environment. EVs have been predicted to be an important mode of mass …
Mobility aware load balancing using Kho–Kho optimization algorithm for hybrid Li-Fi and Wi-Fi network
Abstract Recently, light fidelity (Li-Fi) technology becomes important for rapid data
transmission in the network. Integration of different communication technologies can be …
transmission in the network. Integration of different communication technologies can be …
Generative Adversarial Networks (GAN) and HDFS-Based Realtime Traffic Forecasting System Using CCTV Surveillance
P Devadhas Sujakumari, P Dassan - Symmetry, 2023 - mdpi.com
The most crucial component of any smart city traffic management system is traffic flow
prediction. It can assist a driver in selecting the most efficient route to their destination. The …
prediction. It can assist a driver in selecting the most efficient route to their destination. The …