Results 71 to 80 of about 1,795 (171)

Unveiling the IoT's dark corners: anomaly detection enhanced by ensemble modelling

Automatika
The growing Internet of Things (IoT) landscape requires robust security; traditional rule-based systems are insufficient, driving the integration of machine learning (ML) for effective intrusion detection.
Jisha Jose, J. E. Judith
doaj   +1 more source

The Impact of Electronic Health Records on Nurses and Nursing Care in Low‐ and Middle‐Income Countries: A Scoping Review

Nursing Open, Volume 13, Issue 7, July 2026.
ABSTRACT Aim To map evidence and identify research gaps from primary studies on the impact of electronic health records (EHRs) on nurses and nursing care in low‐ and middle‐income countries (LMICs) from 2015 to 2024. Design A scoping literature review.
Wahab Osman, Stephanie Asah‐Ofori, Alexandra Harris, Vida N. Yakong, Kimberley Widger, Charlene H. Chu   +5 more
wiley   +1 more source

Literature Review of Harris Hawk Optimization Algorithm

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT, 2022
The Harris Hawks Optimizer is a revolutionary population-based, nature-inspired optimization methodology proposed in this paper (HHO). The cooperative behaviour and pursuit manner of Harris' hawks in nature, known as surprise pounce, is the fundamental inspiration for HHO.
openaire   +1 more source

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

Advanced 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, Subbulakshmi Pasupathi   +1 more
doaj   +1 more source

Nature‐Inspired Meta‐Heuristic Optimization Algorithms Integrated With Ensemble Machine Learning Techniques for Particulate Matter 2.5 Modeling

Earth and Space Science, Volume 13, Issue 7, July 2026.
Abstract Particulate Matter 2.5 is a major air pollutant that can deeply penetrate the respiratory system and enter the bloodstream when inhaled. The current study employs the use of both Nature inspired Meta‐heuristic optimization algorithms and Ensemble Machine learning techniques for the estimation of Particulate Matter 2.5 value using Sulfur ...
Abdullahi G. Usman, Sagiru Mati, Jamilu Usman, Saidur R. Chowdhury, Syed Masiur Rahman, Saad Sh. Sammen, Sani I. Abba, Ali Salem   +7 more
wiley   +1 more source

Distributed Generators Optimization Based on Multi-Objective Functions Using Manta Rays Foraging Optimization Algorithm (MRFO)

Energies, 2020
Manta Ray Foraging Optimization Algorithm (MRFO) is a new bio-inspired, meta-heuristic algorithm. MRFO algorithm has been used for the first time to optimize a multi-objective problem. The best size and location of distributed generations (DG) units have
Mahmoud G. Hemeida, Salem Alkhalaf, Al-Attar A. Mohamed, Abdalla Ahmed Ibrahim, Tomonobu Senjyu   +4 more
doaj   +1 more source

Remittance frictions and seasonal poverty

Quantitative Economics, Volume 17, Issue 3, Page 670-708, July 2026.
Seasonal migration is a common strategy to mitigate rural seasonal deprivation, but migrants need to remit money during the lean season to family members facing food shortages. We observe counterintuitively low remittances in rural Nepal during periods of seasonal hunger, and migrants return with remittances later during harvest when food is relatively
Ahmed Mushfiq Mobarak, Corey Vernot, Arjun Kharel   +2 more
wiley   +1 more source

The Comparison of Lately Proposed Harris Hawks Optimization and Jaya Optimization in Solving Directional Overcurrent Relays Coordination Problem

Complexity, 2020
In this paper, a lately proposed Harris Hawks Optimizer (HHO) is used to solve the directional overcurrent relays (DOCRs) coordination problem. To the best of the authors’ knowledge, this is the first time HHO is being used in the DOCRs coordination ...
Jiangtao Yu, Chang-Hwan Kim, Sang-Bong Rhee   +2 more
doaj   +1 more source

Enhanced adaptive-convergence in Harris’ hawks optimization algorithm

Artificial Intelligence Review
AbstractThis paper presents a novel enhanced adaptive-convergence in Harris’ hawks optimization algorithm (EAHHO). In EAHHO, considering that Harris’ hawks will adopt different perching strategies and chasing styles according to the value of the escaping energy parameter E, nonlinear adaptive-convergence factor a is designed and adjusted to enhance the
Mingxuan Mao, Diyu Gui
openaire   +1 more source

A Coordinated Strategy of Flexible Dispatch and Fault Repair for Active Distribution Networks Towards Resilience Enhancement [PDF]

Dianli jianshe
[Objective] To address the rapid recovery and resilience demands of MV/LV distribution networks in extreme disaster environments， a coordinated strategy integrating the flexible dispatch of active distribution networks and fault repair is proposed ...
LIU Wenze, CHEN Keyao, CHENG Runting, YI Yingqi, LU Hongxin, ZHANG Yongjun
doaj   +1 more source