Results 31 to 40 of about 426 (167)

Influential Gene Selection From High-Dimensional Genomic Data Using a Bio-Inspired Algorithm Wrapped Broad Learning System

open access: yesIEEE Access, 2022
The classification of high dimensional gene expression/ microarray data always plays an important role in various disease diagnoses and drug discovery.
Pournamasi Parhi   +2 more
doaj   +1 more source

A Novel Coverage Optimization Strategy for Heterogeneous Wireless Sensor Networks Based on Connectivity and Reliability

open access: yesIEEE Access, 2021
To overcome the problems of coverage blind areas and coverage redundancy when sensor nodes are deployed randomly in heterogeneous wireless sensor networks (HWSNs). An optimal coverage method for HWSNs based on an improved social spider optimization (SSO)
Li Cao   +3 more
doaj   +1 more source

An Integrated Nature-Inspired Algorithm Hybridized Adaptive Broad Learning System for Disease Classification

open access: yesIEEE Access, 2023
Classification of different deadly diseases using machine learning algorithms helps in making the health care system more robust. This, not only reduces the human errors during diagnosis of disease due to inexperience but also helps the physician for ...
Pournamasi Parhi   +2 more
doaj   +1 more source

An improvised nature-inspired algorithm enfolded broad learning system for disease classification

open access: yesEgyptian Informatics Journal, 2023
Deep analysis of genomic data reveals that many deadly diseases are generated due to genetic mutation. To make the health care system more robust, a machine learning researcher’s prime intention is to classify the genomic data more efficiently within ...
Pournamasi Parhi   +2 more
doaj   +1 more source

Locating nests of endangered bumble bees: Lessons from field trials in northern Germany

open access: yesInsect Conservation and Diversity, Volume 19, Issue 2, Page 268-279, March 2026.
Tracking bumble bees to find their nests using coloured strips of paper stuck to their thorax proved to be the most suitable method, while radio transponders were too heavy. Tracking times of up to 2 h and distances of up to 800 m were achieved with strips of pink craft tissue paper.
Henri Greil   +4 more
wiley   +1 more source

An efficient claim management assurance utilizing monarch butterfly optimization approach based EPC model

open access: yesEngineering and Applied Science Research, 2021
The Engineering Procurement Construction (EPC) contract frameworks have been broadly used to play out various developments works by the private sector. The aim of the study is to reduce the claim issues such as time and cost and increase the profizility ...
Mukilan K, Rameshbabu C, Velumani P
doaj  

Investing in monarch conservation: understanding private funding dynamics

open access: yesFrontiers in Conservation Science, 2022
Non-profit environmental organizations (NGOs) rely heavily on external donors to fulfill their mandates. However, forecasting donations for long-term planning is an elusive task at best.
Rodrigo Solis-Sosa   +3 more
doaj   +1 more source

Resource Availability Modulates Gene Expression Across Life Stages in a Migratory Butterfly

open access: yesMolecular Ecology, Volume 35, Issue 5, March 2026.
ABSTRACT Natural populations are in constant need of balancing resource allocation to compensate for seasonal environmental variation. In many insects, a well‐established trade‐off between migration and reproduction exists. While this trade‐off has been characterised phenotypically for decades, the underlying regulatory pathways are poorly understood ...
D. Shipilina   +8 more
wiley   +1 more source

Monarch Butterfly Optimization for Facility Layout Design Based on a Single Loop Material Handling Path

open access: yesMathematics, 2019
Facility layout problems (FLPs) are concerned with the non-overlapping arrangement of facilities. The objective of many FLP-based studies is to minimize the total material handling cost between facilities, which are considered as rectangular blocks of ...
Minhee Kim, Junjae Chae
doaj   +1 more source

A Spectral‐Spatial Dual Encoder With Bio‐Inspired Swarm Adaptation for Cognitive Spectrum Sensing Using Real‐World RF Signal Data

open access: yesIET Communications, Volume 20, Issue 1, January/December 2026.
The proposed model includes a dual‐stream deep learning architecture which has a 1D convolutional neural network (CNN)‐based spectral encoder and a graph convolutional network (GCN)‐based spatial encoder for extracting the frequency‐domain and node‐topology features. Experimental analysis of the proposed model is performed using the Real‐World Wireless
P. Ramakrishnan   +3 more
wiley   +1 more source

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