Using an Improved PSO-SVM Model to Recognize and Classify the Image Signals by Ying Zhao, Guocheng Wei

“…The model first preprocesses the original image data and then uses rough set theory to select features, which reduces the input dimension of the artificial intelligence network, improves the learning and recognition speed of the artificial intelligence network, and further improves the accuracy of recognition. …”
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Detection of Weak Radar Return Signals Based on Pseudo-Time Domain Algorithm by Kaili Wang, Kai Yuan, Bo Bai, Rongxin Tang

“…Satellite-based radar systems are further constrained by processing capabilities and limitations in data transmission bandwidth and communication time windows. …”
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BGIR: A Low-Illumination Remote Sensing Image Restoration Algorithm with ZYNQ-Based Implementation by Zhihao Guo, Liangliang Zheng, Wei Xu

“…When a CMOS (Complementary Metal–Oxide–Semiconductor) imaging system operates at a high frame rate or a high line rate, the exposure time of the imaging system is limited, and the acquired image data will be dark, with a low signal-to-noise ratio and unsatisfactory sharpness. …”
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CNN-LSTM-Attention with PSO optimization for temperature and fault prediction in meat grinder motors by Yao Zhang, Pengfei Zhang, Wenchao Zhang, Mingwei Wang

“…The deep learning model and warning method proposed in this paper can accurately predict the condition of the meat grinder and issue a warning of potential faults based on the PMT data, offering a novel approach to the health management of meat processing equipment.…”
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DiffCoRank: a comprehensive framework for discovering hub genes and differential gene co-expression in brain implant-associated tissue responses by Anirban Chakraborty, Erin K. Purcell, Michael G. Moore

“…Results We developed DiffCoRank, an integrated framework that improves differential coexpression analysis by integrating the techniques of RNA-Seq data preprocessing, gene filtering, correlation-based module identification, and network analysis to discover differentially coexpressed gene clusters. …”
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The analysis of motion recognition model for badminton player movements using machine learning by Xuanmin Zhu, Lizhi Liu, Jingshuo Huang, Genyan Chen, Xi Ling, Yanshuo Chen

“…Firstly, this study collects the badminton players’ stroke action data using high-frame-rate cameras and inertial sensors to record posture information during different strokes. …”
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Prediction of Final Phosphorus Content of Steel in a Scrap-Based Electric Arc Furnace Using Artificial Neural Networks by Riadh Azzaz, Mohammad Jahazi, Samira Ebrahimi Kahou, Elmira Moosavi-Khoonsari

“…Notably, the model was tested on over 200 unseen data points and achieved a 100% hit rate for predicting phosphorus content within ±0.001 wt% (±10 ppm). …”
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CropCast: Harvesting the future with interfused machine learning and advanced stacking ensemble for precise crop prediction by Chetan Raju, Ashoka D.V., Ajay Prakash B.V.

“…The primary goal is to develop the IML-ASE approach, leveraging information about agricultural, environmental, and soil conditions within AE zones to help farmers make knowledgeable decisions about crop selection. The process involves collecting data from crop recommendation datasets, preprocessing it, and feeding it into the proposed model. …”
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Development and Test of Pomelo Fruit Inventory Grading Management System Based on RFID Technology by Haijun QI, Jintao ZHANG, Bofeng ZENG, Yizhi LUO, Xingxing ZHOU

“…According to the data display and the background system, the success rate of pomelo information outbound delivery reached 100%, meeting the actual work needs of the system. …”
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Indirect Estimation of the Volumetric Throughput Performance in the Shredding of Solid Waste by Christoph Feyerer, Karim Khodier, Tatjana Lasch, Roland Pomberger, Renato Sarc

“…This measurement parameter is often unavailable, as the sensor technology required is often expensive or does not provide accurate data. The first process stage is usually a shredding machine, converting the waste into a transportable and separable fraction size. …”
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IMM4HT:an identification method of malicious mirror website for high-speed network traffic by Lei ZHANG, Peng ZHANG, Wei SUN, Xingdong YANG, Lichao XING

“…Aiming at the problem that some information causing harm to the network environment was transmitted through the mirror website so as to bypass the detection,an identification method of malicious mirror website for high-speed network traffic was proposed.At first,fragmented data from the traffic was extracted,and the source code of the webpage was restored.Next,a standardized processing module was utilized to improve the accuracy.Additionally,the source code of the webpage was divided into blocks,and the hash value of each block was calculated by the simhash algorithm.Therefore,the simhash value of the webpage source codes was obtained,and the similarity between the webpage source codes was calculated by the Hamming distance.The page snapshot was then taken and SIFT feature points were extracted.The perceptual hash value was obtained by clustering analysis and mapping processing.Finally,the similarity of webpages was calculated by the perceptual hash values.Experiments under real traffic show that the accuracy of the method is 93.42%,the recall rate is 90.20%,the F value is 0.92,and the processing delay is 20 μs.Through the proposed method,malicious mirror website can be effectively detected in the high-speed network traffic environment.…”
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Retracted: Study on Modeling Method of Forest Tree Image Recognition Based on CCD and Theodolite by Yeqiong Shi, Sainan Wang, Shuna Zhou, M. M. Kamruzzaman

“…In this article, an experimental optical path is built, the forest image recognition simulation platform is verified, and the data obtained from the experiment is processed. The implemented color detection algorithm can achieve a detection accuracy rate of more than 91% for forest tree image recognition detection. …”
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Hybrid deep learning for IoT-based health monitoring with physiological event extraction by Sivanagaraju Vallabhuni, Kumar Debasis

“…For better feature extraction, the proposed method implements Physiological Event Extraction (PEE), which is aimed at identifying important physiological events such as heart rate variability and respiratory changes from raw sensor data samples. …”
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How sediment granulometry affects feeding behaviour in sea cucumbers: a case study on Holothuria sanctori by Mohammad Magdy, Luca Grosso, Davide Pensa, Laura Ciriminna, Alessandra Fianchini, Salvatrice Vizzini, Stefano Cataudella, Arnold Rakaj

“…A natural simulation with a hard, sediment-free substrate was also included. Data on defecation rate and faecal OM content was collected daily to evaluate sediment processing capacity. …”
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Enhancing Injection Molding Simulation Accuracy: A Comparative Evaluation of Rheological Model Performance by Markus Baum, Denis Anders, Tamara Reinicke

“…This contribution provides a detailed comparison of the impact of various rheological models on the filling phase of injection molding simulations in order to enhance the accuracy of flow predictions and improve material processing. The challenge of accurately modeling polymer melt flow behavior under different temperature and shear rate conditions is crucial for optimizing injection molding processes. …”
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Wind Turbine Blade Fault Detection Method Based on TROA-SVM by Zhuo Lei, Haijun Lin, Xudong Tang, Yong Xiong, He Wen

“…This method integrates the Tyrannosaurus Optimization Algorithm (TROA) with a support vector machine (SVM), aiming to enhance the accuracy and reliability of fault detection. The process begins with the careful preprocessing of raw noise signals collected from wind turbines during actual operational conditions. …”
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Pesticide Residue Coverage Estimation on Citrus Leaf Using Image Analysis Assisted by Machine Learning by Adarsh Basavaraju, Edwin Davidson, Giulio Diracca, Chen Chen, Swadeshmukul Santra

“…In summary, this tool has the potential to assist growers with the decision-making process for controlling pesticide use rate and frequency, minimizing pesticide overuse.…”
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Analysis of three selected automated multibeam bathymetric filters in BeamWorX AutoClean Software by Daniel Devote BASIL

“…Manual data cleaning is labour-intensive, subjective, and time-consuming, often requiring two days of processing for a single day of observations. …”
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Revealing the Next Word and Character in Arabic: An Effective Blend of Long Short-Term Memory Networks and ARABERT by Fawaz S. Al-Anzi, S. T. Bibin Shalini

“…The pronunciation dictionary, language model, and acoustic model were further derived from the MFCCs’ features. These output data were processed into Baidu’s Deep Speech model (ASR system) to attain the text corpus. …”
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AN OVERVIEW OF BUFFALO MILK PRODUCTION AND DISTRIBUTION AT TERRITORIAL LEVEL by Rodica CHETROIU, Ancuța MARIN

“…The calculations are based on the operational data provided by Ministry of Agriculture and Rural Development and official statistic data, using statistical indicators such as average, minimum, maximum, annual growth rate, standard deviation, coefficient of variation. …”
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