LCAHA: A hybrid artificial hummingbird algorithm with multi-strategy for engineering applications

G Hu, J Zhong, C Zhao, G Wei, CT Chang - Computer Methods in Applied …, 2023 - Elsevier
Abstract The recently introduced Artificial Hummingbird Algorithm (AHA) exhibits competitive
performance in developing optimization concerns. However, AHA has an imbalance …

Handcrafted deep-feature-based brain tumor detection and classification using mri images

P Mohan, S Veerappampalayam Easwaramoorthy… - Electronics, 2022 - mdpi.com
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 …

An efficient secure sharing of electronic health records using IoT-based hyperledger blockchain

S Velmurugan, M Prakash… - … Journal of Intelligent …, 2024 - search.proquest.com
Abstract Electronic Health Record (EHR) systems are a valuable and effective tool for
exchanging medical information about patients between hospitals and other significant …

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 …

Machine learning analysis of RNA-seq data for diagnostic and prognostic prediction of colon cancer

E Bostanci, E Kocak, M Unal, MS Guzel, K Acici… - Sensors, 2023 - mdpi.com
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) …

Design of metaheuristic optimization with deep-learning-assisted solar-operated on-board smart charging station for mass transport passenger vehicle

S Justin, W Saleh, MMA Lashin, HM Albalawi - Sustainability, 2023 - mdpi.com
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 …

[HTML][HTML] Smart grid stability prediction using Adaptive Aquila Optimizer and ensemble stacked BiLSTM

SM Al-Selwi, MF Hassan, SJ Abdulkadir… - Results in …, 2024 - Elsevier
Background Smart grids, characterized by their ability to integrate renewable energy
sources and manage the dynamic balance between supply and demand, require …

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 …

Mobility aware load balancing using Kho–Kho optimization algorithm for hybrid Li-Fi and Wi-Fi network

M Alharbi, S Neelakandan, S Gupta… - Wireless …, 2024 - Springer
Abstract Recently, light fidelity (Li-Fi) technology becomes important for rapid data
transmission in the network. Integration of different communication technologies can be …

[HTML][HTML] TPEMLB: A novel two-phase energy minimized load balancing scheme for WSN data collection with successive convex approximation using mobile sink

P Mohan, VA Rajasekaran, P Santhanam… - Ain Shams Engineering …, 2024 - Elsevier
Abstract Wireless Sensor Networks (WSNs) an energy consumption is a significant
problematic due to the limited power resources of sensor nodes. Mobile Sinks (MS) rise the …