Results 91 to 100 of about 4,362 (249)

MO‐hHHO: Multi‐Objective Hybrid Harris Hawks Optimization for Prediction of Coronary Artery Disease

open access: yesAdvanced Intelligent Systems
Coronary artery disease is a major cause of mortality and morbidity worldwide, underscoring the need for accurate diagnosis to ensure effective treatment.
Anu Ragavi Vijayaraj   +1 more
doaj   +1 more source

Improved Hybridization of Harris Hawks with Pigeon-Inspired Optimization Algorithm for Multi-Rotor Agent Trajectory Planning

open access: yesApplied Sciences
Addressing the multi-constraint, nonlinear optimization challenge of trajectory planning for multi-rotor agents in urban high-rise environments, this paper proposes an improved hybridization of Harris hawks optimization (HHO) with a pigeon-inspired ...
Junkai Yin   +4 more
doaj   +1 more source

Role of a Deep‐Learning Based Convolutional Neural Network Model for Real‐Time Ventricular Tachycardia Alarm Classification

open access: yesJournal of Cardiovascular Electrophysiology, Volume 37, Issue 4, Page 705-713, April 2026.
Our manuscript discusses the role of a Convolutional Neural network based Deep‐learning model for the classification of ventricular tachycardia alarms. Our algorithm based on input from multiple raw waveform inputs, including electrocardiogram leads, photoplethysmogram, and arterial blood pressure signals achieved a good degree of accuracy and ...
Unmesh Khanolkar   +5 more
wiley   +1 more source

The Four‐Pillar Intersectionality Framework: Reframing Sustainable Entrepreneurship as a Transdisciplinary Domain

open access: yesBusiness Strategy and the Environment, Volume 35, Issue 3, Page 4328-4344, March 2026.
ABSTRACT This study offers a comprehensive bibliometric and text‐mining overview of two decades of sustainability‐oriented entrepreneurship research. Drawing on 7563 peer‐reviewed articles from the Web of Science Core Collection, we map the field's evolution, thematic structure, and disciplinary convergence, identifying influential authors, networks ...
Giusy Sica   +3 more
wiley   +1 more source

Predicting Arrhythmia Based on Machine Learning Using Improved Harris Hawk Algorithm [PDF]

open access: yes, 2023
Arrhythmia disease is widely recognized as a prominent and lethal ailment on a global scale, resulting in a significant number of fatalities annually. The timely identification of this ailment is crucial for preserving individuals' lives.
Nitesh Sureja, et al.
core   +1 more source

Hybrid Energy Management for Electric Vehicles: Enhancing Battery Lifespan and Efficiency With Marine Predator Algorithm and Dynamic Floating Mechanism

open access: yesEngineering Reports, Volume 8, Issue 3, March 2026.
An intelligent energy management system (IEMS) optimized by the MPA‐DFM approach dynamically regulates battery power using supercapacitor energy in hybrid electric vehicles. The proposed control strategy minimizes battery stress and power loss, extends lifetime, and ensures real‐time stability across transient and steady‐state driving conditions ...
Yassine Bouteraa, Mohammad Khishe
wiley   +1 more source

MSI-HHO: Multi-Strategy Improved HHO Algorithm for Global Optimization

open access: yesMathematics
The Harris Hawks Optimization algorithm (HHO) is a sophisticated metaheuristic technique that draws inspiration from the hunting process of Harris hawks, which has gained attention in recent years.
Haosen Wang, Jun Tang, Qingtao Pan
doaj   +1 more source

Early Prediction of Diabetes Using Deep Learning Convolution Neural Network and Harris Hawks Optimization [PDF]

open access: yes, 2021
 Owing to the gravity of the diabetic disease the minimal level symptoms for diabetic failure in the early stage must be forecasted. The prediction system instantaneous and prior must thus be developed to eliminate serious medical factors ...
R, Murugadoss
core   +2 more sources

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