AIMC Topic: Algorithms

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Efficient Hybrid Hierarchical Clustering with Incremental Silhouette Score for Large, Noisy Datasets.

International journal of neural systems
This paper introduces a comprehensive framework for clustering analysis, centered on a novel incremental silhouette score calculation designed specifically for hierarchical clustering. This innovative method significantly reduces the computational co...

Overcoming Small Data Limitations in Materials Informatics: Interpretable Predictive Modeling of Optical Limiting Efficiency Using the CORRELATO Algorithm.

Journal of chemical information and modeling
This work addresses the fundamental challenge of predicting the efficiency of optical limiters (OLs): a critical class of materials for protecting sensitive optical components from intense laser radiation. While traditional approaches, including quan...

Optimized CNN framework for malaria detection using Otsu thresholding-based image segmentation.

Scientific reports
Accurate and early diagnosis of malaria from peripheral blood smear images remains a critical challenge in healthcare, particularly in resource-limited settings. In this work, we propose an optimized convolutional neural network (CNN) framework enhan...

Transformer-aided skin cancer classification using VGG19-based feature encoding.

Scientific reports
Skin cancer is among the most widely distributed, deadliest cancers around the globe, and early diagnosis becomes vital to enhance patient survival. Deep learning has demonstrated high potential for automatic skin lesion classification. However, exis...

Multi-texture synthesis through signal responsive neural cellular automata.

Scientific reports
Neural Cellular Automata have proven to be effective in various fields, with numerous biologically inspired applications. Particularly, neural cellular automata have been proven to be successful models for procedural generation of textures. They mode...

Mitigating distributed denial of service-based cyberattack in federated computing framework using deep reinforcement learning with frilled lizard algorithm.

Scientific reports
A denial of service (DoS) attack is an essential and nonstop threat to cybersecurity. Generally, DoS attacks are executed by forcing a victim's computer to reset and consume its sources. Distributed DoS (DDoS) is the most underlined and significant a...

An intelligent brain tumor detection model using lightweight hybrid twin attentive pyramid convolutional network.

Scientific reports
Brain tumors (BTs) pose a serious threat to human health, and the optimized treatment and results depend on early and accurate detection. Although MRIs and other medical imaging technologies provide insightful information, it is still difficult to de...

Advantage of grading classification using volumetric artificial intelligence for periventricular hyperintensity and deep subcortical white matter hyperintensity.

Scientific reports
We developed and validated an artificial intelligence (AI) algorithm for the automated grading of periventricular hyperintensity (PVH) and deep subcortical white matter hyperintensity (DWMH) using magnetic resonance imaging. Overall, 246 patients wer...

Evaluating the Accuracy of the Frysian Questionnaire for Differentiation of Musculoskeletal Complaints for Triage of Musculoskeletal Diseases: Algorithm Development and Validation Study.

JMIR medical informatics
BACKGROUND: Inflammatory rheumatic diseases (IRDs) affect 5% of the general population, whereas 35% of the population experiences musculoskeletal concerns. IRDs cause early disability, reduced life expectancy, and considerable health care costs. Earl...

Zero-shot image classification based on class representation learning and attribute embedding learning.

PloS one
Zero-shot learning (ZSL) aims to classify unseen classes by leveraging semantic information from seen classes, addressing the challenge of limited labeled data. In recent years, ZSL methods have focused on extracting attribute-level features from ima...