Titlebook: Computational Collective Intelligence; 16th International C Ngoc Thanh Nguyen,Bogdan Franczyk,Adrianna Kozierk Conference proceedings 2024

Frisky

Malware Detection Among Contact Tracing Apps with Deep Learning. Especially these days that meningitis, influenza, but also streptococcus and respiratory syncytial virus (RSV) are on the rise and affect vulnerable populations, e.g. young children, whose immune system is unprepared due to lack of exposure to common viruses during the recent pandemic, contact tra

Blemish

Modeling the Functioning of Decision Trees Based on Decision Rule Systems by Greedy Algorithmclarity and ease of interpretation in data analysis are widely recognized. The study of the relationship between DTs and DRSs is an important problem in computer science. There are established methods for converting DTs to DRSs. In this work, we explore the inverse transformation problem, which is c

lanugo

Medley

Reinforcement Learning-Based Cooperative Traffic Control Systemhis paper explores the application of reinforcement learning to enhance traffic flow and reduce congestion. Our goal was to develop a reinforcement learning-based model that adapts to varying traffic conditions in real-time. Several methods are available for the real-time optimization of traffic, ra

menopause

预防注射

New Results for Some Turán Problem Instances Obtained Using the Reinforcement Learning Techniqueng-standing and challenging open problem. Ideally, one aims not only to compute these numbers exactly but also to understand their asymptotic behavior, although such results are currently limited to specific cases. This article introduces new results for . and the associated parameter .(., 2.), achi

arbiter

An Empirical Analysis of the Usage of Requirements Attributes in Requirements Engineering Research aith those of two large companies developing software-intensive products for a global market. We found common attributes that describe stakeholders and roles, support change management, tracing and communication, tracking the status, and estimating the business value of requirements.

浸软

New Results for Some Turán Problem Instances Obtained Using the Reinforcement Learning Techniqueeved through the application of reinforcement machine learning techniques. Specifically, the RLS algorithm, initially proposed by Zhou . for vertex coloring in graphs, has been adapted to address certain Turán problems involving edge coloring.

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外表读作

0302-9743 Intelligence, ICCCI 2024, held in Leipzig, Germany, during September 9–11, 2024...The 59 revised full papers presented in these proceedings were carefully reviewed and selected from 234 submissions. ..Part I:  collective intelligence and collective decision-making; deep learning techniques; natural