A consistency-guaranteed approach for Internet of Things by Yang Zhang, Shixin Sun, Dongwen Zhang, Jing Qiu, Zhihong Tian

“…Three detection algorithms are designed to detect refactoring correctness. …”
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Dazzle: Oversampled Image Reconstruction and Difference-imaging Photometry for the Nancy Grace Roman Space Telescope by Michael D. Albrow

“…We present algorithms and software for constructing high-precision difference images to detect and measure transients, such as microlensing events, in crowded stellar fields using the Nancy Grace Roman Space Telescope. …”
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Mounting Angle Prediction for Automotive Radar Using Complex-Valued Convolutional Neural Network by Sunghoon Moon, Younglok Kim

“…In advanced driver-assistance systems (ADASs), the misalignment of the mounting angle of the automotive radar significantly affects the accuracy of object detection and tracking, impacting system safety and performance. …”
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A Dataset on Corn Silage in China Used to Establish a Prediction Model Showing Variation in Nutrient Composition by Shu Zhang, Jian Hao, Donghai Wang, Chenglong Luo, Na Lu, Xiaocen Guo, Yanfang Liu, Zixiao Zhang, Shengli Li

“…This improvement requires a rapid, accurate, and portable method for detecting nutrient values, instead of traditional laboratory analysis. …”
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Synchronous Acquisition and Processing of Electro- and Phono-Cardiogram Signals for Accurate Systolic Times’ Measurement in Heart Disease Diagnosis and Monitoring by Roberto De Fazio, Ilaria Cascella, Şule Esma Yalçınkaya, Massimo De Vittorio, Luigi Patrono, Ramiro Velazquez, Paolo Visconti

“…An adaptive segmentation algorithm was developed to segment PCG and ECG signals based on their morphological and temporal features. …”
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Artificial intelligence analysis in cyber domain: A review by Liguo Zhao, Derong Zhu, Wasswa Shafik, S Mojtaba Matinkhah, Zubair Ahmad, Lule Sharif, Alisa Craig

“…An in-depth learning algorithm is utilized for training a neural network for detecting suspicious user activities. …”
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Spot Image Segmentation of Lifting Container Vibration Based on Improved Threshold Method and Mathematical Morphology by Tian-Bing Ma, Qiang Wu, Fei Du, Wei-Kang Hu, Yong-Jing Ding

“…We used MCE to evaluate the segmentation effect of threshold segmentation and verified the improved algorithm’s accuracy by detecting the pixel centroid of laser spots. …”
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Evaluation of the performance of Satellite photographs Corona , Hexagon and Aster images in preparing the map of the boundary and coastline of zaribar Lake and extracting the amoun... by Hedayat Sheikh Ghaderi, abdulsalam ‪aminpour, Parviz Ziaeian Firoozabadi

“…In this study, to geometric correction the corona and hexagon data from Google Earth images, linear extraction algorithms, binary mask and mean shift segmentation were used to extract the coastline and lake boundary, detect lake changes and extract and monitor the water area of ​​Zaribar Lake. …”
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ASVBM: Structural variant benchmarking with local joint analysis for multiple callsets by Peizheng Mu, Xiangyan Feng, Lanxin Tong, Jie Huang, Chaoqun Zhu, Fei Wang, Wei Quan, Yuanjun Ma, Yucui Dong, Xiao Zhu

“…Differences in the variation-awareness and strategic implementation of aligners inherently constrain SV detection algorithms that rely on alignment-based approaches. …”
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The role of advanced machine learning in COVID-19 medical imaging: A technical review by Abdul Muiz Fayyaz, Said Jadid Abdulkadir, Shahab Ul Hassan, Safwan Mahmood Al-Selwi, Ebrahim Hamid Sumiea, Lareib Fatima Talib

“…It focuses on approaches such as Deep Learning (DL) algorithms and Transfer Learning, which have demonstrated significant potential in developing automated, accurate COVID-19 detection systems. …”
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Unmanned Ground Vehicle for Identifying Trees Infested with Bark Beetles by Jonathan Flores, Sergio Salazar, Iván González-Hernández, Yukio Rosales-Luengas, Rogelio Lozano

“…A rotating LiDAR sensor is used to detect trees and avoid objects. The dynamic model of the vehicle is presented, and a control algorithm is proposed for path-following. …”
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A Comparative Analysis of the Effectiveness of Multiple Models for Predicting Heart Failure using Data Mining by Ahmed Sami Jaddoa, Juliet Kadum, Amaal Kadum

“…In order to preserve lives, early detection regarding such disease is essential. One of the quickest, practical, and affordable methods of disease detection is Data Mining DM, an artificial intelligence AI technology. …”
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Advancements in the application of artificial intelligence in the field of colorectal cancer by Mengying Zhu, Mengying Zhu, Zhenzhu Zhai, Yue Wang, Fang Chen, Ruibin Liu, Ruibin Liu, Xiaoquan Yang, Guohua Zhao

“…AI, utilizing machine learning (ML) and deep learning (DL) algorithms, improves early detection, diagnosis, and treatment by processing large volumes of medical data, uncovering hidden patterns, and forecasting disease development. …”
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Study on Compensation Method of Encoder Pulse Errors for Permanent Magnet Synchronous Motor Control by Beom-Do Park, Seon-Jung Kim, Ju-Hyeong Moon, Dong-Woo Kang, Sung-Chul Go, Khac-Huan Su

“…This paper proposes an algorithm that detects pulse errors occurring in incremental encoders and automatically switches to the Hall sensor control mode to compensate for the encoder pulse errors. …”
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Systematic Approach to Processing and Analysis Diagnostic Indicators of Electrocardiograms Based on Labview by M. T. Magrupova, Yo. T. Talatov

“…Development of algorithms and software for processing and analysis of electrocardiograms (ECGs), as well as calculation of heart rate and detection of arrhythmias based on Labview.Materials and methods. …”
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Evaluation of Human Action Based on Feature-Weighted Dynamic Time Warping by Mingdie Yan, Xia Liu, Zhaoyang Li, Naiyu Guo

“…Firstly, we collected human skeletal key-point data based on a depth camera and processed these data with gap filling and filtering; then, the effective data segments were segmented from the whole action dataset, angle and distance features were extracted, and the feature matrix was obtained; then, we used the Euclidean Barycenter Dynamic Time Warping–Barycenter Averaging algorithm to produce action templates; finally, we proposed a Feature-Weighted Dynamic Time Warping algorithm to calculate the similarity between the detected action and the template action and established an action achievement score mechanism to evaluate the rehabilitation action. …”
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Preventing postoperative pulmonary complications by establishing a machine-learning assisted approach (PEPPERMINT): Study protocol for the creation of a risk prediction model. by Britta Trautwein, Meinrad Beer, Manfred Blobner, Bettina Jungwirth, Simone Maria Kagerbauer, Michael Götz

“…A reliable prediction algorithm based on machine learning holds great potential to improve postoperative outcomes.…”
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Improved empirical wavelet transform combined with particle swarm optimization-support vector machine for EEG-based depression recognition by Yongxin Wang, Longqi Xu, Hongxu Qian, Haijun Lin, Xuhui Zhang

“…Afterward, these distinguishing characteristics are harnessed to detect depression through the optimized PSO-SVM algorithm. …”
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Improving Mental Health Diagnosis with Hybrid Ensemble Models: A Data-Driven Approach by Malave Sachin, Khemani Bharti, Kelkar Rucha, Balekundri Urvi, Bogar Shravani, Kolekar Areen

“…To stop these problems from getting worse, prompt detection and treatment are crucial. This study examines how emotional and behavioural indicators might be used to predict mental health issues using machine learning (ML) algorithms. …”
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Telecom Fraud Recognition Based on Large Language Model Neuron Selection by Lanlan Jiang, Cheng Zhang, Xingguo Qin, Ya Zhou, Guanglun Huang, Hui Li, Jun Li

“…This strategy effectively mitigates noise originating from non-pertinent neurons, thereby enhancing both the accuracy and computational efficiency of the model. The detection of telecommunication fraud text represents a formidable challenge within NLP, primarily attributed to its increasingly covert nature and the inherent limitations of current detection algorithms. …”
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