Energy Optimization in Ultrasound Tomography Through Sensor Reduction Supported by Machine Learning Algorithms by Bartłomiej Baran, Tomasz Rymarczyk, Dariusz Majerek, Piotr Szyszka, Dariusz Wójcik, Tomasz Cieplak, Marcin Gąsior, Marcin Marczuk, Edmund Wąsik, Konrad Gauda

“…In subsequent steps, machine learning models are developed to predict the number, location, and size of the objects. A reliable object detection method is introduced, requiring less information than traditional signal analysis from multiple channels. …”
Get full text

Predictive Maintenance of HVAC Systems using Deep Learning for Optimized Building Energy Efficiency by Seyed Abolfazl Aghili, Amin Haji Mohammad Rezaei, Mostafa Khanzadi

Get full text

Study on Novel Surface Defect Detection Methods for Aeroengine Turbine Blades Based on the LFD-YOLO Framework by Wei Deng, Guixiong Liu, Jun Meng

“…This study proposes a novel defect detection method to address the low accuracy and insufficient efficiency encountered during surface defect detection on aeroengine turbine blades (ATBs). …”
Get full text

Review of Acoustic Emission Detection Technology for Valve Internal Leakage: Mechanisms, Methods, Challenges, and Application Prospects by Dongjie Zheng, Xing Wang, Lingling Yang, Yunqi Li, Hui Xia, Haochuan Zhang, Xiaomei Xiang

“…Secondly, a detailed analysis is conducted on diverse signal processing techniques and their corresponding optimization strategies, encompassing parameter analysis, time–frequency analysis, nonlinear dynamics methods, and intelligent algorithms. …”
Get full text

Quantitative infrared detection methods for debonding in concrete-filled steel tubes during the hydration heat phase by Haonan Cai, Chongsheng Cheng, Hong Zhang, Jianting Zhou

“…Currently, there is a lack of an infrared detection method that can perform quantitative detection specifically during the construction phase of CFST. …”
Get full text

Self-Sensing of Piezoelectric Micropumps: Gas Bubble Detection by Artificial Intelligence Methods on Limited Embedded Systems by Kristjan Axelsson, Mohammadhossien Sheikhsarraf, Christoph Kutter, Martin Richter

“…Different types of sensors are used to detect gas bubbles: inline on the fluidic channels or inside the pump chamber itself. …”
Get full text

State-of-the-Art Fault Detection and Diagnosis in Power Transformers: A Review of Machine Learning and Hybrid Methods by Lebo Dina Mashifane, Bongumsa Mendu, Bessie Baakanyang Monchusi

“…Hybrid models combining machine learning with optimization have made detection more accurate. New tools, including optical sensors, now allow for real-time monitoring. …”
Get full text

Comparison of Sample Preparation and Detection Methods for the Quantification of Synthetic Musk Compounds (SMCs) in Carp Fish Samples by Jungmin Jo, Eunjin Lee, Na Rae Choi, Ji Yi Lee, Jae Won Yoo, Dong Sik Ahn, Yun Gyong Ahn

“…This study deals with the separation and detection methods for 12 synthetic musk compounds (SMCs), which are some of the emerging contaminants in fish samples, are widely present in environmental media, and can be considered serious risks due to their harmful effects. …”
Get full text

Comparison of molecular with conventional methods for detection of genital tuberculosis in infertile women: A comparative prospective study by Anupama Hari, Anusha Reddy Thota, Sravanthi Katamreddy

“…Employing the best clinical practices for diagnosing and treating genital TB may help optimize fertility rate. The current study aimed to evaluate the molecular and conventional methods to diagnose genital TB in women with infertility. …”
Get full text

Enhancing deep learning methods for brain metastasis detection through cross-technique annotations on SPACE MRI by Tassilo Wald, Benjamin Hamm, Julius C. Holzschuh, Rami El Shafie, Andreas Kudak, Balint Kovacs, Irada Pflüger, Bastian von Nettelbladt, Constantin Ulrich, Michael Anton Baumgartner, Philipp Vollmuth, Jürgen Debus, Klaus H. Maier-Hein, Thomas Welzel

“…HAQ alone achieves about 40% of the performance improvements seen with SPACE images as input, allowing for fast and accurate, fully automated detection of small (< 1 cm) BMs. Relevance statement Training with higher-quality annotations, created using the SPACE sequence, improves the detection and delineation sensitivity of DL methods for the detection of brain metastases (BMs)on MPRAGE images. …”
Get full text

Effective deployment strategies for optimizing area coverage in multistatic sonar detection based on Cassini oval approximation and a virtual force algorithm by Liufang Fu, Ming Zhou, Linzhou Xu, Xiaoming Dong, Zhu Kou, Chunyu Kang

“…Multistatic sonar is regarded as a highly promising method for detecting quiet submarines over long distances. …”
Get full text

An Optimal Two-Step Approach for Defense Against Poisoning Attacks in Federated Learning by Yasir Ali, Kyung Hyun Han, Abdul Majeed, Joon S. Lim, Seong Oun Hwang

“…Nevertheless, these defense methods demonstrate sub-optimal performance in retaining benign local models while discarding poisoned local models, primarily due to inadequate filtering strategies. …”
Get full text

Optimized Fake News Classification: Leveraging Ensembles Learning and Parameter Tuning in Machine and Deep Learning Methods by Abubaker A. Alguttar, Osama A. Shaaban, Remzi Yildirim

“…The findings of this study confirm the efficacy of ensemble techniques and delegation for effective fake news detection. This study offers insights into model selection and optimization.…”
Get full text

Establishment and application of dual rpa-basic and rpa-lfd detection method for pasteurella multocida and actinobacillus pleuropneumoniae by Jingjing LI, Xiaobing WEI, Shuang LI, Mingcheng LIU, Qianlei ZHU, Kexin WANG, Lei WANG, Yingying CAO, Meinan CHANG, Chunling ZHU, Zhanwei TENG, Xuehan LIU, Huihui ZHANG, Xiaojing XIA, Ke DING

“…Based on recombinase polymerase amplification (RPA) detection technology (combined with (lateral flow dipstick, LFD)), it is aimed to establish a dual recombinase polymerase amplification method for the rapid identification of Pasteurella multocida (Pm) and Actinobacillus pleuropneumoniae (APP). …”
Get full text

A Robust Multi‐Objective Pressure Sensor Placement Method for Burst Detection in Water Distribution Systems by Kun Du, Jinxin Yu, Feifei Zheng, Wei Xu, Dragan Savic, Zoran Kapelan

“…These comparisons reveal the properties of each optimization method and show how detection performance is affected by various placement features. …”
Get full text

Research and Optimization of White Blood Cell Classification Methods Based on Deep Learning and Fourier Ptychographic Microscopy by Mingjing Li, Junshuai Wang, Shu Fang, Le Yang, Xinyang Liu, Haijiao Yun, Xiaoli Wang, Qingyu Du, Ziqing Han

Get full text

Intelligent Detection and Automatic Removal Robot for Skinned Garlic Cloves by Zhengbo Zhu, Xin Cao, Yawen Xiao, Li Xin, Lei Xin, Shuqian Li

“…The research results of this paper are conducive to the development of intelligent detection technology of garlic cloves, and to the development of garlic-planting technology and deep processing technology.…”
Get full text

An abnormal traffic detection method for chain information management system network based on convolutional neural network by Chao Liu, Chunxiang Liu, Changrong Liu

Get full text

ADAM-DETR: an intelligent rice disease detection method based on adaptive multi-scale feature fusion by Hanyu Song, Xinyue Huang, Ziqiang Wang, Jianwei Hu, Huasheng Zhang, Hui Yang

“…Abstract Rice diseases pose a severe threat to global food security, while traditional detection methods suffer from low efficiency and dependence on manual expertise. …”
Get full text

Intelligent Data Processing Methods for the Atypical Values Correction of Stock Quotes by T. V. Zolotova, D. A. Volkova

“…As part of further work, it is possible to consider the optimization of the parameters used in the methods of detecting and correcting outliers to study their effect on the results of the models.…”
Get full text