Coffee Leaf Rust Disease Detection and Implementation of an Edge Device for Pruning Infected Leaves via Deep Learning Algorithms by Raka Thoriq Araaf, Arkar Minn, Tofael Ahamed

“…All labeled images were used to train the YOLOv5 and YOLOv8 algorithms through the convolutional neural network (CNN). …”
Get full text

OrthoSNAP: A tree splitting and pruning algorithm for retrieving single-copy orthologs from gene family trees. by Jacob L Steenwyk, Dayna C Goltz, Thomas J Buida, Yuanning Li, Xing-Xing Shen, Antonis Rokas

Get full text

Dangerous attack paths analysis for power networks based on adaptive limited depth search and improved Z-score pruning by Mu Chen, Yong Li, Nige Li, Yinan Zhong, Guangxin Guo

Subjects: Get full text

Harnessing feature pruning with optimal deep learning based DDoS cyberattack detection on IoT environment by Eunmok Yang, Sooyong Jeong, Changho Seo

“…Besides, the feature pruning process is performed using an improved pelican optimization algorithm (IPOA), which enables the choice of an optimal subset of features. …”
Get full text

Optimization of Deep Neural Networks Using a Micro Genetic Algorithm by Ricardo Landa, David Tovias-Alanis, Gregorio Toscano

Subjects: “…micro genetic algorithm…”
Get full text

GESC-YOLO: Improved Lightweight Printed Circuit Board Defect Detection Based Algorithm by Xiangqiang Kong, Guangmin Liu, Yanchen Gao

“…Printed circuit boards (PCBs) are an indispensable part of electronic products, and their quality is crucial to the operational integrity and functional reliability of these products. …”
Get full text

Defects Detection in Screen-Printed Circuits Based on an Enhanced YOLOv8n Algorithm by Xinyu Zhang, Jia Wang, Dan Jiang, Yang Li, Xuewei Wang, Han Zhang

“…Abstract Defect detection is a crucial task in screen-printed circuit (SPC) production, where image processing method based on deep learning is often used. …”
Get full text

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

“…An improved SIOU loss function is also proposed, prioritizing small object samples and those with average-quality annotations. Finally, channel pruning is applied to reduce model parameters and computational complexity, improving detection efficiency.Experimental results show that the proposed algorithm achieves 94.3% mAP50 on the HIT-UAV dataset, a 1.6% improvement over the original YOLOv8n, with a 3% increase in recall. …”
Get full text

Outlier Detection and Explanation Method Based on FOLOF Algorithm by Lei Bai, Jiasheng Wang, Yu Zhou

“…Finally, a weighted local outlier factor detection algorithm computes the degree of anomaly for each sample in the candidate set. …”
Get full text

Ship pipeline collaborative layout optimization based on EPA-star algorithm by Zhiyao YANG, Hongshuo ZHANG, Yan LIN

Subjects: Get full text

Research on Robot Path Planning Based on Improved RRT-Connect Algorithm by CHEN Zhilan, TANG Haoyang

Subjects: “…rrt-connect algorithm; dynamic step size adjustment; bidirectional pruning optimization; path planning…”
Get full text

Colour segmentation of printed fabrics by integrating adaptive neural network and density peak clustering algorithm by Niu Meng

Get full text

A study on the effect of print parameters on the internal structural quality of 316 L samples printed via laser powder bed fusion: Experimental and algorithmic approach by Suresh Alaparthi, Sharath P. Subadra, Roy Skaria, Eduard Mayer, Shahram Sheikhi

“…Set‐B had the highest concentration of porosity in the ‐YZ plane. An algorithm was developed to sort the samples based on the frequency shifts seen from those of the samples from wrought 316 L. …”
Get full text

Survey of research on application of heuristic algorithm in machine learning by Yanping SHEN, Kangfeng ZHENG, Chunhua WU, Yixian YANG

“…Aiming at the problems existing in the application of machine learning algorithm,an optimization system of the machine learning model based on the heuristic algorithm was constructed.Firstly,the existing types of heuristic algorithms and the modeling process of heuristic algorithms were introduced.Then,the advantages of the heuristic algorithm were illustrated from its applications in machine learning,including the parameter and structure optimization of neural network and other machine learning algorithms,feature optimization,ensemble pruning,prototype optimization,weighted voting ensemble and kernel function learning.Finally,the heuristic algorithms and their development directions in the field of machine learning were given according to the actual needs.…”
Get full text

Application of Mask R-CNN and YOLOv8 algorithms for defect detection in printed circuit board manufacturing by Maurizio Calabrese, Leonardo Agnusdei, Gianmauro Fontana, Gabriele Papadia, Antonio Del Prete

“…This paper proposes a study to analyze the ML capabilities to perform Automated Optical Inspection (AOI) for quality control in the manufacturing of Printed Circuit Boards (PCBs). The study has been performed by testing Mask R-CNN and YOLOv8 algorithms and an open-source PCB dataset designed to evaluate other ML techniques. …”
Get full text

Printed Strain Sensors for Motion Recognition: A Review of Materials, Fabrication Methods, and Machine Learning Algorithms by Nathan Zavanelli, Kangkyu Kwon, Woon-Hong Yeo

Get full text

Study on the mechanical properties of stratified rock mass based on 3D printing technology and FDEM algorithm by Yongchao Tian, Kaifang Ren, Fan He, Yong Liu, Penghai Deng, Jiaqi Guo, Feiyue Sun, Xin Huang, Jun Zhang

“…The research findings would lay a crucial theoretical foundation for deformation control and stability analysis in engineering practice associated with stratified rock mass and provide reference for the application of 3D printing technology and FDEM algorithm to rock mechanics.…”
Get full text

Progressive Pruning of Light Dehaze Networks for Static Scenes by Byeongseon Park, Heekwon Lee, Yong-Kab Kim, Sungkwan Youm

“…We develop a progressive pruning algorithm that aims to reduce computational complexity while maintaining dehazing quality within a specified threshold. …”
Get full text

Neural network pruning based on channel attention mechanism by Jianqiang Hu, Yang Liu, Keshou Wu

“…Network pruning facilitates the deployment of convolutional neural networks in resource-limited environments by reducing redundant parameters. …”
Get full text

Fast Reverse Design of 4D‐Printed Voxelized Composite Structures Using Deep Learning and Evolutionary Algorithm by Mengtao Wang, Zaiyang Liu, Hidemitsu Furukawa, Zhuo Li, Yifei Ge, Yifan Xu, Zhe Qiu, Yang Tian, Zhongkui Wang, Ren Xu, Lin Meng

Subjects: “…4D printing…”
Get full text