A survey of unsupervised domain adaptive semantic segmentation algorithms based on deep learning by Ying Junjie, Lou Lufei, Xin Yu

“…As modern life becomes increasingly intelligent, more and more applications require inferring semantic information from images before proceeding with further processing, such as virtual reality, autonomous driving, and video surveillance. …”
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

Lightweight visible damage detection algorithm for embedded systems applied to pipeline automation equipment by Jiale Xiao, Lei Xu, Changyun Li, Ling Tang, Guogang Gao

“…The backbone of the algorithm, CSPHet, employs efficient combinatorial convolution and heterogeneous kernel convolution, incorporates a lightweight convolutional structure SL in the neck of the network, enhances the nonlinear representation and feature processing capability through channel shuffling, utilizes the lightweight self-attention mechanism Detect_SA for prediction, and employs a multilayered GhostConv to improve the computational efficiency. …”
Get full text

Real-Time Fatigue Detection Algorithms Using Machine Learning for Yawning and Eye State by Fazliddin Makhmudov, Dilmurod Turimov, Munis Xamidov, Fayzullo Nazarov, Young-Im Cho

“…It uses Haar cascade classifiers for facial area extraction and advanced image processing algorithms for fatigue diagnosis. …”
Get full text

An Improved AMCL Algorithm Based on Laser Scanning Match in a Complex and Unstructured Environment by Gang Peng, Wei Zheng, Zezao Lu, Jinhu Liao, Lu Hu, Gongyue Zhang, Dingxin He

Get full text

Grading Algorithm for Orah Sorting Line Based on Improved ShuffleNet V2 by Yifan Bu, Hao Liu, Hongda Li, Bryan Gilbert Murengami, Xingwang Wang, Xueyong Chen

“…The average prediction time for processing 10 input images was 51.44 ms. The sorting line achieved a grading speed of 10 Orahs per second, with an appearance grading accuracy of 92.5% and a diameter measurement compliance rate of 98.3%. …”
Get full text

UNVEILING GENDER FROM INDONESIAN NAMES USING RANDOM FOREST AND LOGISTIC REGRESSION ALGORITHMS by Musthofa Galih Pradana, Pujo Hari Saputro, Dyah Listianing Tyas

“…Gender detection can be done in many ways, some of these ways by using image identification such as the process of image identification based on faces or image shapes, on the other hand image identification and detection can also be done based on text or written data. …”
Get full text

Deep learning to classify the ripeness of coffee fruit in the mechanized harvesting process by Marco Antonio Zanella, Mikel Barrio-Conde, Jaime Gomez-Gil, Javier Manuel Aguiar-Perez, María Ángeles Pérez-Juárez, Fabio Moreira da Silva

Get full text

Application of Ontology Matching Algorithm Based on Linguistic Features in English Pronunciation Quality Evaluation by Shan Zhu

“…This paper proposes a decision tree structure, which is similar to the overall scoring process of raters, and uses the Interactive Dicremiser version 3 (ID3) algorithm to build a comprehensive evaluation decision tree for pitch, rhythm, intonation, speech rate, and emotion indicators. …”
Get full text

Target Detection and Characterization of Multi-Platform Remote Sensing Data by Koushikey Chhapariya, Emmett Ientilucci, Krishna Mohan Buddhiraju, Anil Kumar

“…Conventionally, target detection in remote sensing has relied on statistical methods that typically assume a linear process for image formation. However, to enhance detection performance, it is critical to account for the geometric and spectral variabilities across multiple imaging platforms. …”
Get full text

Advances in machine learning for the detection and characterization of microplastics in the environment by M. Maksuda Khanam, M. Khabir Uddin, Julhash U. Kazi

“…Recent advances in machine learning (ML) have revolutionized the field of microplastic research by automating and enhancing detection processes. In particular, algorithms such as support vector machines, random forests, and convolutional neural networks have demonstrated considerable success in classifying microplastics based on chemical signatures and visual characteristics. …”
Get full text

Deep learning-based crop health enhancement through early disease prediction by Venkata Santhosh Yakkala, Krishna Vamsi Nusimala, Badisa Gayathri, Sriya Kanamarlapudi, S. S. Aravinth, Ayodeji Olalekan Salau, S. Srithar

Get full text

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

“…Video Capsule Endoscope (VCE) sends images of abnormalities in the gastrointestinal (GI) tract. …”
Get full text

The use of autofluorescence stomatoscopy in the algorithm of diagnosing of the oral mucosal abnormalities of patients with tuberculosis infection by T. P. Goryacheva, D. A. Zaplutanova, I. P. Goryacheva, O. A. Aleshina

“…The use of the autofluorescence stomatoscopy in the algorithm of dental examination of patients with tuberculosis infection is appropriate because it allows to implement the principle of oncological alertness among specialists, helps the doctor to obtain additional information about the pathological process in real time and increases the motivation of the examined persons to maintain dental health.…”
Get full text

Health Monitoring of Carbon Fiber Reinforced Building Materials Based on Phase Unwrapping Algorithm by Min Yan, Jianjun Zhou, Shuai Guo, Yanlong Li

“…When conducting denoising tests on noisy images, the hybrid algorithm showed good denoising results, with clear images. …”
Get full text

Deep Learning Approach for Arm Fracture Detection Based on an Improved YOLOv8 Algorithm by Gerardo Meza, Deepak Ganta, Sergio Gonzalez Torres

Get full text

Deep learning-based detection and classification of acute lymphoblastic leukemia with explainable AI techniques by Debendra Muduli, Sourav Parija, Suhani Kumari, Asmaul Hassan, Harendra S. Jangwan, Abu Taha Zamani, Sk. Mohammed Gouse, Banshidhar Majhi, Nikhat Parveen

“…A detailed comparative analysis was conducted, examining key parameters such as learning rate, optimization algorithms, and the number of training epochs to determine the most effective approach. …”
Get full text

DC-YOLO: an improved field plant detection algorithm based on YOLOv7-tiny by Wenwen Li, Yun Zhang

Get full text

Multiplane Optimizing Phase Holograms Using Advanced Machine Learning Algorithms and GPU Acceleration by Luz Hernández-Felipe, José Humberto Arroyo-Nuñez, César Camacho-Bello, Iván Rivas-Cambero

“…Phase holography is a critical optical imaging and information processing technique with applications ranging from microscopy to optical communications. …”
Get full text

A Novel Demodulation Algorithm Based on the Spatial-Domain Carrier Frequency Fringes Method by Chenhaolei Han, Yuan Ju, Zongxu Zhao, Yuni He, Zhan Tang

“…In this paper, a novel demodulation algorithm based on spatial-domain carrier frequency shift is proposed to solve the problem. …”
Get full text