A Random Compressive Sensing Method for Airborne Clustering WSNs by Wei Zhou, Bo Jing, Yifeng Huang

“…On the one hand, the reconstruction precision of the composite chaotic-genetic MP method can reach a magnitude of 10 −15 , and the average search speed is about 37 time that of the MP reconstruction method, which can effectively improve the reconstruction performance of the cluster head or Sink; on the other hand, by diminishing the sampling frequency to 1/8 of the original sampling frequency, the random compressive sensing technique can dramatically reduce the sampling quantity and the energy consumption of the cluster members, with the reconstruction precision reaching a magnitude of 10 −7 .…”
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LTE/GNSS IOT TECHNOLOGY AS A BACKBONE FOR AIRPORT GROUND HANDLING OPERATIONS by Adam PIECH, Maciej KWAPIŃSKI, Maciej MICKIEWICZ, Krzysztof KANAWKA

“…The test campaign verified that even with simple processing and relatively simple single-frequency measurements, multi-constellation GNSS receivers, it is possible to obtain location with precision reaching better than 2.5 metres. This precision should be good enough for all ground handling operations at modern airports, without the need for additional fixed infrastructure.…”
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Leveraging machine learning techniques for image classification and revealing social media insights into human engagement with urban wild spaces by Haider Khalid, Marcus J. Collier

“…CNN showed the highest precision, reaching 98.4% on Flickr, while DBSCAN provided moderate results. …”
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Can machine learning distinguish between elite and non-elite rowers? by Orten Kristine Fjellkårstad, Helgesen Sander Elias Magnussen, Chen Bihui, Baselizadeh Adel, Torresen Jim, Herrebrøden Henrik

“…Despite using fewer input features, the models managed to classify skill levels with reasonable precision, reaching a best performance of 77% accuracy for the model combining GRU and CNN architectures, 78% for the GRU model, and 94% for the MLP model. …”
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Kidney Stone Detection based on Improved YOLOv7 with Attention Module and Super Resolution Techniques Under Limited Training Samples by Minh Tai Pham Nguyen, Viet Tuan Le, Huu Thanh Duong, Vinh Truong Hoang

“…When SR models are applied to upsample X-ray images, these SR X-ray images enable the proposed attention-based models to improve the precision and sensitivity considerably, with the highest precision reaching 97.3% and highest sensitivity hitting a peak at 91.7%. …”
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An intelligent intrusion detection system for cyber-physical systems using GAN-LSTM networks by Md Shakil Siddique, Md. Ashikur Rahman Khan, Ishtiaq Ahammad, Nishu Nath, Joysri Rani Das, Fardowsi Rahman

“…The model achieves 87 % accuracy (SWaT) and 91 % accuracy (WADI), with precision reaching 93 % (SWaT) and 97 % (WADI)—demonstrating strong capability to minimize false alarms. …”
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IMPLEMENTATION OF MAPPING-BASED MACHINE LEARNING ALGORITHM AS NON-STRUCTURAL DISASTER MITIGATION TO DETECT LANDSLIDE SUSCEPTIBILITY IN TAKARI DISTRICT by Sefri Imanuel Fallo, Lidia Paskalia Nipu

“…An evaluation of model performance, anchored in accuracy and Kappa metrics, unveiled that both the Ordinal Logistic Regression and Random Forest models exhibited noteworthy precision, reaching a commendable 74.36%. Nevertheless, a meticulous examination of Kappa values disclosed the ascendancy of the Random Forest model, which achieved a superior Kappa value of 0.5397. …”
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Analytical Methods for Wind-Driven Dynamic Behavior of Pear Leaves (<i>Pyrus pyrifolia</i>) by Yunfei Wang, Weidong Jia, Shiqun Dai, Mingxiong Ou, Xiang Dong, Guanqun Wang, Bohao Gao, Dengjun Tu

“…The results showed that the segmentation algorithm achieved an Intersection over Union (IoU) ranging from 98.2% to 98.7%, with Precision reaching 99.0% to 99.5%, demonstrating high segmentation accuracy and reliability. …”
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A Generic AI-Based Technique for Assessing Student Performance in Conducting Online Virtual and Remote Controlled Laboratories by Ahmed M. Abd El-Haleem, Mohab Mohammed Eid, Mahmoud M. Elmesalawy, Hadeer A. Hassan Hosny

“…The study confirmed that Artificial Neural Network (ANN) and Support Vector Machine (SVM) are the best models to be used for automatically evaluating student performance while conducting the online labs with a precision reaching up to 91&#x0025;.…”
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Improving heat exchanger fouling detection for phosphoric acid concentration units: A hybrid inverse approach integrating genetic algorithms and the Levenberg-Marquardt technique by Ridha Zitouni, Ali Fguiri, Amine Aymen Assadi, Mohammod Hafizur Rahman, Abdetif Amrane, Juan Pedro Solano, Mohamed-Razak Jeday

“…On the other hand, the hybridization between GA and LM shows a rapid convergence toward the global minimum with high precision, reaching a maximum relative error as low as 0.15 %, 0.10 %, and 0.12 % for the three studied heat exchangers. …”
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Surface water mapping from remote sensing in Egypt’s dry season using an improved U-Net model with multi-scale information and attention mechanism by Yong Li, Xiuhui Liu, Vagner Ferreira, Heiko Balzter, Huiyu Zhou, Ying Ge, Meiyun Lai, Simin Chu, Han Ding, Zhenrong Gu

“…Our model attains optimal performance with IoU, F1-score, recall, and precision reaching 94.26%, 97.05%, 98.18%, and 95.94%, respectively, compared to traditional machine learning methods, particularly in challenging areas with small water bodies, complex backgrounds, and eutrophic water boundaries. …”
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Frame-Based Stereotactic-Guided Excision of Colloid Cyst of Cavum Septum Pellucidum through Transcallosal Approach—A Technical Note by J. K. B. C. Parthiban, S. Shanthanam, R. Manivasagam

“…A case of colloid cyst within the cavum septum pellucidum and the importance of stereotactic guidance in precisely reaching the lesion, thus minimizing the dissection of corpus callosum, are discussed.…”
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Dynamic Inspection System for Wheel Profile of High-speed Railway Vehicles by YANG Hui

“…Several solutions for the dynamic inspection system for wheel profile parameters in calibration algorithm, system design aspects were proposed, which ensured that system precision reached the standard in high speed situations.…”
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时栅位移传感器的误差修正实用技术 by 彭东林, 周玮, 陈锡侯, 高忠华, 郑方燕

“…For time grating angular displacement sensor processing error affecting the measurement accuracy problems,Multi-position probe method is used to isolate multiple harmonic error and aimed to error correction.According to the field type time grating angular displacement sensor error characteristics,the 32 antipodal sensors are analyzed theoretically,64 multiple harmonics are isolated,and the influence of periodicity multiple harmonic error has been removed by multi-position probe method.The error correction method eliminated systematic error of manufacturing processes.The time grating angular displacement sensor precision reach expected targets of 2′.…”
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Investigation of Different Components of Steel Metal Utilizing Artificial Intelligence by Zainab L. H, Fatima Abd Naji

“…Subsequently, in common, it can be said that the precision of the organize in getting particular values of steel components is more influenced by this issue, and each of the training algorithms (LM), (BR), and (SCG) have the capacity to precisely reach the reply.…”
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Improve the Hunger Games search algorithm to optimize the GoogleNet model. by Yanqiu Li, Shizheng Qu, Huan Liu

“…Experimental results show that the proposed algorithm ATHGS shows the best optimization performance in the three engineering experimental designs, and the accuracy of the proposed model ATHGS-GoogleNet reaches 98.1%, the sensitivity reaches 100%, and the precision reaches 99.5%.…”
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Simulating Spatiotemporal Dynamics of Sichuan Grassland Net Primary Productivity Using the CASA Model and In Situ Observations by Chuanjiang Tang, Xinyu Fu, Dong Jiang, Jingying Fu, Xinyue Zhang, Su Zhou

“…The results were validated with in situ data. The overall precision reached 70%; alpine meadow had the highest precision at greater than 75%, among the three types of grasslands validated. …”
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Vocal performance evaluation of the intelligent note recognition method based on deep learning by Dongyun Chang

“…Specifically, this model’s accuracy, recall, F-value, and precision reach 0.961, 0.958, 0.963, and 0.970. The incorporation of multiple feature inputs can remarkably enhance the accuracy of vocal performance evaluation, especially the combination of constant Q Transform features, which is the most outstanding. …”
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Data Science Application for Creation of Maternal Morbidity and Mortality Predictive Software by Rúsbel Domínguez-Domínguez, Germán H. Alférez, Verenice González-Mejia, Norbet Donías

“…For the eclampsia during labor class, precision reached 0.71, recall was 0.94, and the F1- score attained 0.81. …”
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Enhanced Artificial Rabbit Optimization with attention-based deep learning for leukemia cancer classification by Sabita Rani Behera, Bibudhendu Pati, Devee Sivaprasad Dulam

“…Additionally, the sensitivity (recall) improved to 98.1% and the precision reached 98.63%. The F1-score showed significant improvements, with values of 97.69% indicating the model's robust performance in distinguishing between leukemia and non-leukemia cases.…”
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