AIMC Topic: Algorithms

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FPA-based weighted average ensemble of deep learning models for classification of lung cancer using CT scan images.

Scientific reports Jun 3, 2025
Cancer is among the most dangerous diseases contributing to rising global mortality rates. Lung cancer, particularly adenocarcinoma, is one of the deadliest forms and severely impacts human life. Early diagnosis and appropriate treatment significantl...
Deep Learning Algorithms Image Processing, Computer-Assisted Lung Neoplasms Humans Tomography, X-Ray Computed Neural Networks, Computer
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Predicting genetic merit in Harnali sheep using machine learning techniques.

Tropical animal health and production Jun 3, 2025
Machine learning techniques offer promising avenues for enhancing animal breeding programs by leveraging genomic and phenotypic data to predict valuable traits accurately. In this study, we evaluated seven machine learning algorithms viz., K-nearest ...
Breeding Pedigree Sheep, Domestic Male Bayes Theorem Female Animals Algorithms Machine Learning Phenotype
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An interpretable deep learning approach for autism spectrum disorder detection in children using NASNet-mobile.

Biomedical physics & engineering express Jun 3, 2025
Autism spectrum disorder (ASD) is a multifaceted neurodevelopmental disorder featuring impaired social interactions and communication abilities engaging the individuals in a restrictive or repetitive behaviour. Though incurable early detection and in...
Child Magnetic Resonance Imaging Neuroimaging Adolescent Autism Spectrum Disorder Neural Networks, Computer Child, Preschool Humans Male Brain Algorithms Female Deep Learning
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ICN intrusion detection method based on GA-CNN.

PloS one Jun 3, 2025
The current industrial control system network is susceptible to data theft attacks such as SQL injection in practical applications, resulting in data loss or leakage of enterprise secrets. To solve the network intrusion problem faced by industrial co...
Algorithms Computer Security Neural Networks, Computer
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FIAN: A frequency information-adaptive network for spatial-frequency domain pansharpening.

PloS one Jun 3, 2025
Pansharpening aims to combine the spatial information from high-resolution panchromatic (PAN) images with the spectral information from low-resolution multispectral (LRMS) images generating high-resolution multispectral (HRMS) images. While Convoluti...
Image Processing, Computer-Assisted Neural Networks, Computer Algorithms Humans
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Molecular Optimization Based on a Monte Carlo Tree Search and Multiobjective Genetic Algorithm.

Journal of chemical information and modeling Jun 2, 2025
In the realm of medicinal chemistry, the predominant challenge in molecular design lies in managing extensive molecular data sets and effectively screening for, as well as preserving, molecules with potential value. Traditional methodologies typicall...
Drug Discovery Monte Carlo Method Algorithms Genetic Algorithms Drug Design
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Perspectives of Artificial Intelligence Use for In-House Ethics Checks of Journal Submissions.

Journal of Korean medical science Jun 2, 2025
Artificial intelligence (AI) has shown its ability to transform academic writing and publishing. It offers significant benefits, including enhancing efficiency, consistency, and integrity, However, these advancements are accompanied by ethical concer...
Peer Review, Research Publishing Periodicals as Topic Humans Authorship Artificial Intelligence Algorithms Plagiarism
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Accuracy of Artificial Intelligence for Gatekeeping in Referrals to Specialized Care.

JAMA network open Jun 2, 2025
IMPORTANCE: Integrating artificial intelligence (AI) technologies into gatekeeping holds significant potential, as it efficiently handles repetitive tasks and can process large amounts of information quickly.
Artificial Intelligence Algorithms Female Aged Retrospective Studies Primary Health Care Humans Referral and Consultation Middle Aged Adult Brazil Male ROC Curve
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Computational approaches in drug chemistry leveraging python powered QSPR study of antimalaria compounds by using artificial neural networks.

Scientific reports Jun 2, 2025
The application of Machine Learning has become a revolutionary instrument in the domain of pharmaceutical research. Machine learning enables the modelling of Quantitative Structure Property Relationship, a crucial task in forecasting the physiochemic...
Antimalarials Quantitative Structure-Activity Relationship Machine Learning Algorithms Humans Neural Networks, Computer
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Predicting the tensile properties of heat treated and non-heat treated LPBFed AlSi10Mg alloy using machine learning regression algorithms.

PloS one Jun 2, 2025
In this study, the ability of machine learning algorithms to predict tensile properties of both heat-treated and non-heat treated LPBFed AlSi10Mg alloy is investigated. The data was analyzed using various Machine Learning Regression (MLR) models such...
Machine Learning Materials Testing Hot Temperature Tensile Strength Algorithms Magnesium Alloys
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