A simple efficient anchor-free node localization algorithm for wireless sensor networks by Tao Du, Shouning Qu, Qingbei Guo, Lianjiang Zhu

“…In ladder diffusion node localization algorithm, the time cost of localization is greatly reduced, the communication tasks in localization are allocated in a more balanced manner, and node locations are obtained mainly by rigorous computation instead of measurement, which can reduce transmission measurement error. …”
Get full text

A two-stage recommendation optimization algorithm based on item popularity and user features by Jun Wang, Rongjie Hu

“…Financial product recommendation algorithms are mainly product-centered. This article proposes a two-stage recommendation optimization algorithm based on item popularity and user features, named CPCF-TSP, that can make full use of the demographic characteristics of users and mitigate the problem of users being more inclined to choose “hot” financial products. …”
Get full text

LQT-Based Energy-Efficient Control for Intelligent Vehicles Optimized by Adaptive Genetic Algorithm by Xia Hong-Yang, Yang Ming, Luo Jing-Jing, Hong Xi, Xu Wei

“…Existing research on vehicle energy saving primarily focuses on longitudinal control, whereas path tracking control mainly emphasizes control accuracy. To simultaneously ensure both lateral control accuracy and energy-saving performance, this study proposes an Adaptive Genetic Algorithm LQT Controller to address the complex parameter tuning of traditional LQT controllers and the lack of feedback dynamic adjustment capability in conventional Genetic Algorithm LQT controllers. …”
Get full text

RABP: Delay/disruption tolerant network routing and buffer management algorithm based on weight by Hezhe Wang, Guangsheng Feng, Huiqiang Wang, Hongwu Lv, Renjie Zhou

“…Delay/disruption tolerant network is a novel network architecture, which is mainly used to provide interoperability for many challenging networks such as wireless sensor network, ad hoc networks, and satellite networks. …”
Get full text

Multimodal Medical Image Protection Algorithm Based on Genetic Coding and Coupled Hyperchaotic Mapping by CHANG Ruiyun, FENG Xiufang, ZHANG Hao

“…The stage of image encryption mainly included three parts: multimodal medical image fusion algorithm, zero watermarking authentication algorithm based on edge detection, and genetic coding selection encryption algorithm. …”
Get full text

Development of HTC-DBSCAN: A Hierarchical Trajectory Clustering Algorithm with Automated Parameter Tuning by Dae-Han Lee, Joo-Sung Kim

“…Density-Based Spatial Clustering of Applications (DBSCA) applies to many research fields; using the DBSCA with Noise (DBSCAN) algorithm, we propose an improved DBSCAN algorithm that automatically determines the parameters Epsilon and MinPts. …”
Get full text

An Adaptive Linearized Method for Localizing Video Endoscopic Capsule Using Weighted Centroid Algorithm by Umma Hany, Khan A. Wahid

“…Then the path loss model is linearized to minimize the path loss deviation which is mainly caused due to the nonhomogeneous environment of radio propagation. …”
Get full text

Comparison of Different Machine Learning Algorithms to Classify Epilepsy Seizure from EEG Signals by Pankaj Kunekar, Chanchal Kumawat, Vaishnavi Lande, Sushant Lokhande, Ram Mandhana, Malhar Kshirsagar

Get full text

HYBRID FIREFLY AND PARTICLE SWARM OPTIMIZATION ALGORITHM FOR DESIGN OF NON-LINEAR CHANNEL EQUALIZER by Vundavalli Ravindra, Pradyumna Kumar Mohapatra, Ravi Narayan Panda, Saroja Kumar Rout

“…This optimum solution has been modelled using the FFA algorithm, which is driven mainly by light intensity attraction. …”
Get full text

Identification of Alcoholism Based on Wavelet Renyi Entropy and Three-Segment Encoded Jaya Algorithm by Shui-Hua Wang, Khan Muhammad, Yiding Lv, Yuxiu Sui, Liangxiu Han, Yu-Dong Zhang

“…The current diagnosis of AUD is mainly done manually by radiologists. This study proposes a novel computer-vision-based method for automatic detection of AUD based on wavelet Renyi entropy and three-segment encoded Jaya algorithm from MRI scans. …”
Get full text

DLE-YOLO: An efficient object detection algorithm with dual-branch lightweight excitation network by Peitao Cheng, Xuanjiao Lei, Haoran Chen, Xiumei Wang

“…As a computer vision task, object detection algorithms can be applied to various real-world scenarios. …”
Get full text

Real power loss reduction by Rock Dove optimization and Fuligo Septica optimization algorithms by Kanagasabai L.

“…This paper aims to use the Rock Dove (RD) optimization algorithm and the Fuligo Septica optimization (FSO) algorithm for power loss reduction. …”
Get full text

A New Bipolar Approach Based on the Rooster Algorithm Developed for Utilization in Optimization Problems by Mashar Cenk Gençal

“…In this paper, new swarm-based meta-heuristic algorithms, called Improved Roosters Algorithm (IRA), Bipolar Roosters Algorithm (BRA), and Bipolar Improved Roosters Algorithm (BIRA), which are mainly based on Roosters Algorithm (RA), are presented. …”
Get full text

Path Planning for Construction Robot Based on the Improved A* Algorithm and Building Information Modeling by Dejiang Wang, Bolong Liu, Haili Jiang, Panpan Liu

“…Path planning is a key technology in the automation of construction robots, and its implementation mainly relies on navigation algorithms and the generation of environment maps. …”
Get full text

Clinical TNM Lung Cancer Staging: A Diagnostic Algorithm with a Pictorial Review by Ivana Kuhtić, Tinamarel Mandić Paulić, Lucija Kovačević, Sonja Badovinac, Marko Jakopović, Margareta Dobrenić, Maja Hrabak-Paar

Get full text

A Comparison of Machine Learning Algorithms for Predicting Alzheimer’s Disease Using Neuropsychological Data by Zakaria Mokadem, Mohamed Djerioui, Bilal Attallah, Youcef Brik

“…Alzheimer’s disease (AD) is a gradient degeneration of essential cognitive activities such as memory, thinking, and cognition. AD mainly affects elderly individuals and is recognized as the most common cause of dementia. …”
Get full text

SMOTE algorithm optimization and application in corporate credit risk prediction with diversification strategy consideration by Han Wei

“…The rigorous methodology ensures research validity through scientific data partitioning, appropriate hardware configuration, an advanced software environment, and comprehensive evaluation indices (accuracy, precision, recall, F1-score). The study mainly focuses on two aspects. One is to analyze corporate diversification strategy; the other is to explore the optimization of the SMOTE algorithm and its application in credit risk prediction. …”
Get full text

Optimization Design of Fast Neutron Target Station Beam Extraction Based on Genetic Algorithm by QIN Ziqian1, 2, 3, TAN Xinjian2, 3, ZHANG Xiaodong2, 3, PAN Qingquan1, LIU Xiao2, 3

“…The structural composition of the neutron extraction pipeline was optimized through theoretical simulation, coupled with a genetic algorithm and Monte Carlo code. In the optimization design, the genetic algorithm was used to initialize and adjust the optimization parameters, generate Monte Carlo input files, and call the Monte Carlo code for calculation. …”
Get full text

Using multiple machine learning algorithms to optimize the water quality index model and their applicability by Fei Ding, Shilong Hao, Wenjie Zhang, Mingcen Jiang, Liangyao Chen, Haobin Yuan, Nan Wang, Wenpan Li, Xin Xie

“…To improve the accuracy of the water quality index (WQI) model, multiple machine learning algorithms (CatBoost, SVM, LR, XGBoost, LightGBM) and entropy weight method (EWM) were introduced to determine the objective weight. …”
Get full text

Joint Resource Scheduling of the Time Slot, Power, and Main Lobe Direction in Directional UAV Ad Hoc Networks: A Multi-Agent Deep Reinforcement Learning Approach by Shijie Liang, Haitao Zhao, Li Zhou, Zhe Wang, Kuo Cao, Junfang Wang

“…The algorithm with the main lobe direction scheduling improves performance by 67.06% compared to the algorithm without the main lobe direction scheduling.…”
Get full text