Incremental dynamic community discovery algorithm based on multi-core nodes by Jing CHEN, Zhijun LIU, Xinyu YANG, Mingxin LIU, Miaomiao LIU

“…A new incremental dynamic community discovery algorithm MCNIDCD based on multiple core nodes was proposed to address challenges in dynamic community discovery.It adapted to sudden events like the emergence or disappearance of communities during evolution.MCNIDCD categorized core nodes into diffusion and cohesion types, and devised four incremental updating strategies.It adjusted node community membership locally and optimized community structure using an incremental modularity method to facilitate community merging.Evaluation on artificial and real networks shows MCNIDCD’s high conformity to community evolution patterns.In real network experiments, MCNIDCD exhibits a 28% average improvement in modularity performance and significant stability advantages.Its superiority is important for studying dynamic community evolution.…”
Get full text

Voice Control in Calorie Tracker Application using Levenshtein Distance Algorithm by Daniel Halim, Seng Hansun

“…This application is developed using Java programming language for Android with SQLite database.…”
Get full text

Advancing Rice Disease Detection in Farmland with an Enhanced YOLOv11 Algorithm by Hongxin Teng, Yudi Wang, Wentao Li, Tao Chen, Qinghua Liu

“…Smart rice disease detection is a key part of intelligent agriculture. …”
Get full text

Homogenization of the Probability Distribution of Climatic Time Series: A Novel Algorithm by Peter Domonkos

“…This bias removal is generally more successful for long-term trends and annual means than for monthly and daily values. The homogenization of probability distribution (HPD) may improve data accuracy even for daily data when the signal-to-noise ratio favors its application. …”
Get full text

The Application of Tree-Based Algorithms on Classifying Shunting Yard Departure Status by Niloofar Minbashi, Markus Bohlin, Carl-William Palmqvist, Behzad Kordnejad

“…Applying SMOTE improved the sensitivity, precision, and F-measure of delayed departures by 20% for decision trees and by 30% for random forests. …”
Get full text

A big data analysis algorithm for massive sensor medical images by Sarah A. Alzakari, Nuha Alruwais, Shaymaa Sorour, Shouki A. Ebad, Asma Abbas Hassan Elnour, Ahmed Sayed

“…Big data analytics for clinical decision-making has been proposed for various clinical sectors because clinical decisions are more evidence-based and promising. …”
Get full text

Algorithm-based intraoperative diagnosis of liver tumors using infrared spectroscopy by Rimante Bandzeviciute, Grit Preusse, Sascha Brückmann, Alexander Hirle, Anne Wedemann, Franziska Baenke, Marius Distler, Carina Riediger, Jürgen Weitz, Valdas Sablinskas, Justinas Ceponkus, Gerald Steiner, Christian Teske

“…Abstract Liver cancer, including hepatocellular carcinoma (HCC), cholangiocellular carcinoma (CCC), and metastases, presents diagnostic challenges during surgery due to its infiltrative nature. …”
Get full text

Bandit Algorithms for Efficient Toxicity Detection in Competitive Online Video Games by Jacob Morrier, Rafal Kocielnik, R. Michael Alvarez

“…To this end, we propose a contextual bandit algorithm that uses a small set of variables, selected based on domain expertise, to guide monitoring decisions. …”
Get full text

Detection of Graduation Potential in Prospective Students using the Random Forest Algorithm by Puguh Hasta Gunawan, Irving Vitra Paputungan

“…This study aims to develop a predictive model for student graduation from the beginning of their academic journey, utilizing high school academic data such as grades, attendance, study hours, as well as demographic and social factors. …”
Get full text

Building Surface Defect Detection Based on Improved YOLOv8 by Xiaoxia Lin, Yingzhou Meng, Lin Sun, Xiaodong Yang, Chunwei Leng, Yan Li, Zhenyu Niu, Weihao Gong, Xinyue Xiao

“…Our model significantly improves defect detection accuracy and robustness in complex scenarios. …”
Get full text

An Evaluation of the Sensitivity of a Source Term Estimation Methodology of Sensor Configuration in an Urban-like Environment by Panagiotis Gkirmpas, Fotios Barmpas, George Tsegas, George Efthimiou, Paul Tremper, Till Riedel, Christos Vlachokostas, Nicolas Moussiopoulos

“…Overall, the findings provide valuable information for designing sensor configurations in urban areas.…”
Get full text

Enhanced DDPG algorithm for latency and energy-efficient task scheduling in MEC systems by Fei Zhou, Lihong Zhao, Xiaomei Ding, Shuqin Wang

“…Abstract This paper presents an improved Deep Deterministic Policy Gradient (DDPG) algorithm for task scheduling in Mobile Edge Computing (MEC) systems, focusing on reducing latency and energy consumption. …”
Get full text

Stepwise fuzzy correction of the algorithm filters of random signals by A. A. Lobaty, A. S. Radkevich

“…It is assumed that the gauges are discrete and are described, like the original process assessed, by a discrete mathematical model in the form of difference equations. …”
Get full text

BDK-YOLOv8: An Enhanced Algorithm for UAV Infrared Image Object Detection by Nan Xiao, Xianggong Hong, Zixuan Zheng

“…This paper presents an infrared small object detection algorithm based on YOLOv8n to address challenges like large model size, complex backgrounds, poor small object detection, and scale variations. …”
Get full text

Intelligent Detection Algorithm for Concrete Bridge Defects Based on SATH–YOLO Model by Lanlin Zou, Ao Liu

Get full text

Improving probabilistic infectious disease forecasting through coherence. by Graham Casey Gibson, Kelly R Moran, Nicholas G Reich, Dave Osthus

Get full text

A Mobile Agent Routing Algorithm in Dual-Channel Wireless Sensor Network by Kui Liu, Sanyang Liu, Hailin Feng

“…Compared with other existing algorithms like ant colony optimization-based dynamic energy-efficient mobile agent routing algorithm (ADEEMA) and mobile agent-based wireless sensor network (MAWSN), simulation results show that MARA performs better in improving the success rate of packet transmission and cutting down the delay of communication. …”
Get full text

Evaluation of machine learning and deep learning algorithms for fire prediction in Southeast Asia by Aditya Eaturu, Krishna Prasad Vadrevu

Get full text

A Feature-Enhanced Small Object Detection Algorithm Based on Attention Mechanism by Zhe Quan, Jun Sun

“…With the rapid development of AI algorithms and computational power, object recognition based on deep learning frameworks has become a major research direction in computer vision. …”
Get full text

Performance of Machine Learning Algorithms on Imbalanced Sentiment Datasets Without Balancing Techniques by Dina Wulan Yekti rahayu, Khothibul Umam, Maya Rini Handayani

“…The research follows the Knowledge Discovery in Databases (KDD) framework, which includes data selection, preprocessing, transformation, data mining, and evaluation. …”
Get full text