Scientific Research Publishing

UML Class Diagram Classification Using Category Theory ()

To effectively evaluate a system that performs operations on UML class diagrams, it is essential to cover a large variety of different types of diagrams. The coverage of the diagram space can be ...
Frontiers

KDDC: a new framework that integrates kmers, dataset filtering, dimension reduction and classification algorithms to achieve immune cell heterogeneity classification

Introduction: Integrating immune repertoire sequencing data with single cell sequencing data offers profound insights into the diversity of immune cells and their dynamic changes across various ...
Qatar Tribune

MoCI begins rollout of standard economic classification system aligned with GCC's ISIC4 framework

DOHA: The Ministry of Commerce and Industry (MoCI) has announced the gradual rollout of the Standard Economic Classification System for Economic Activities, aligning with the ISIC4 classification ...
IEEE

MORPSO_ECD+ELM: A Unified Framework for Gene Selection and Cancer Classification

Abstract: Gene selection and cancer classification are inherently multi-objective tasks that require balancing competing objectives, such as maximizing classification accuracy while minimizing ...
IEEE

A Multilevel Metric Fusion Framework for Few-Shot Electrocardiogram Classification

Abstract: Due to insufficient samples in rare arrhythmia classes, current research in electrocardiogram (ECG) classification has reported poor performance in rare arrhythmia classes and difficulties ...
newtelegraphng

NITDA Finalises Data Classification Framework To Drive Cloud Investment

The Director General of the National Information Technology Development Agency (NITDA), Kashifu Inuwa, has announced that the agency is finalising a framework to mandate the classification of data, ...
EurekAlert!

To know what you do not know: An evidential deep learning framework for traffic classification

Traffic classification is a crucial task for network security. One of the most difficult challenges is to accurately identify the traffic of unknown applications as well as discriminate the known ...
marktechpost

Diagram of Thought (DoT): An AI Framework that Models Iterative Reasoning in Large Language Models (LLMs) as the Construction of a Directed Acyclic Graph (DAG) within a Single ...

Previous research on reasoning frameworks in large language models (LLMs) has explored various approaches to enhance problem-solving capabilities. Chain-of-Thought (CoT) introduced articulated ...
marktechpost

From Diagrams to Solutions: MAVIS’s Three-Stage Framework for Mathematical AI

Large Language Models (LLMs) and their multi-modal counterparts (MLLMs) have made significant strides in advancing artificial general intelligence (AGI) across various domains. However, these models ...