Adaptive Blind Stokes-Space Based Equalizer for RSOP in SV-DD Systems With High Chromatic Dispersion Tolerance by Yu Jin, Di Li, Pin Yi, Mengfan Cheng, Songnian Fu, Ming Tang, Deming Liu, Lei Deng

Subjects: “…Stokes vector direct detection…”
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Assessing the effect of ensemble learning algorithms and validation approach on estimating forest aboveground biomass: a case study of natural secondary forest in Northeast China by Hungil Jin, Yinghui Zhao, Unil Pak, Zhen Zhen, Kumryong So

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Towards a Smart and Transparent Road-Based Vehicle Speed Detection System in Tanzanian Highways: A Review of Methods, Technologies, and Systems by Kevin T. Njuu, Angela-Aida K. Runyoro, Mussa A. Dida

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Retinopathy Disease Detection and Classification Using a Coordinate Attention Module-Based Convolutional Neural Network with Leaky Rectified Linear Unit by Pravin Balaso Chopade, Prabhakar N. Kota, Bhagvat D. Jadhav, Pravin Marotrao Ghate, Shriram Sadashiv Kulkarni

“… The detection of Diabetic Retinopathy (DR) is an emergent research topic in recent decades, where DR is a primary cause of vision loss in humans. …”
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VDSC steganalysis algorithm of echo hiding by YANG Yu1, LEI Min1, NIU Xin-xin1, YANG Yi-xian1

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VDSC steganalysis algorithm of echo hiding by YANG Yu1, LEI Min1, NIU Xin-xin1, YANG Yi-xian1

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Improved incremental algorithm of Naive Bayes by Shui-fei ZENG, Xiao-yan ZHANG, Xiao-feng DU, Tian-bo LU

“…A novel Naive Bayes incremental algorithm was proposed,which could select new features.For the incremental sample selection of the unlabeled corpus,a minimum posterior probability was designed as the double threshold of sample selection by using the traditional class confidence.When new feature was detected in the corpus,it would be mapped into feature space,and then the corresponding classifier was updated.Thus this method played a very important role in class confidence threshold.Finally,it took advantage of the unlabeled and annotated corpus to validate improved incremental algorithm of Naive Bayes.The experimental results show that an improved incremental algorithm of Naive Bayes significantly outperforms traditonal incremental algorithm.…”
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Algorithm for the analysis of kinematic characteristics of running by N. S. Davydova, V. Е. Vasiuk, N. A. Paramonova, М. М. Mezhennaya, D. I. Guseinov

“…The paper describes an algorithm for analysis of kinematic characteristics of the running based on inertial gyro signals. …”
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A Hybrid Machine Learning-Based Framework for Data Injection Attack Detection in Smart Grids Using PCA and Stacked Autoencoders by Shahid Tufail, Hasan Iqbal, Mohd Tariq, Arif I. Sarwat

“…Various machine learning algorithms were evaluated, and the Random Forest (RF) model consistently achieved superior accuracy, ranging from 99.32% to 95.89%. …”
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Unobtrusive Sleep Posture Detection Using a Smart Bed Mattress with Optimally Distributed Triaxial Accelerometer Array and Parallel Convolutional Spatiotemporal Network by Zhuofu Liu, Gaohan Li, Chuanyi Wang, Vincenzo Cascioli, Peter W. McCarthy

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A Robust Authentication and Trust Detection With Privacy Preservation of Data for Fog Computing in VANET Using Adaptive Deep Neural Network by Jia Jia, Sathiya Sekar Kumarasamy, Kiran Sree Pokkuluri, K. Suresh Kumar, Thella Preethi Priyanka, Feng Wang

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Clustering approach for crack detection in GPR data: Influence of infilling material on detectability by Mercedes Solla, Norberto Fernández, Ahmed Elseicy, Jorge Pais

“…In particular, the crack detection problem is cast as an anomaly detection scenario, where the clustering algorithm is used to discern between anomalous and non-anomalous A-Scans in a radargram, the former considered a potential sign of a crack. …”
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A Hybrid Security Framework for Train-to-Ground (T2G) Communication Using DOA-Optimized BPNN Detection, Bayesian Risk Scoring, and RL-Based Response by Chaoyuan Sun, Weijiao Zhang, Peng Sun, Hui Wang, Chunhui Yang

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Multi-Scale Feature Similarity and Object Detection for Small Printing Defects Detection by Haojie Lou, Yuanlin Zheng, Wenqian Chen, Haiwen Liu

“…To address this problem, a defect detection algorithm based on multi-scale feature similarity evaluation and small object defect detection is proposed. …”
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Protocol for the OPTIMSE-1 randomised clinical trial to test specialist-led identification and management of cardio-renal-metabolic-pulmonary disease in machine learning algorithm-detected high-risk community-dwelling individuals by Chris P Gale, Jianhua Wu, Ramesh Nadarajah, Catherine Reynolds, Chris Hayward, Ali Wahab, Mohammad Haris, Tobin Joseph, Sheena Bennett, Adam B Smith

“…Introduction People identified as higher risk by a machine learning algorithm (Future Innovations in Novel Detection of Atrial Fibrillation [FIND-AF]) are at increased risk of cardio-renal-metabolic-pulmonary disease and cardiovascular death. …”
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Remote early detection of SARS-CoV-2 infections using a wearable-based algorithm: Results from the COVID-RED study, a prospective randomised single-blinded crossover trial by Laura C. Zwiers, Timo B. Brakenhoff, Brianna M. Goodale, Duco Veen, George S. Downward, Vladimir Kovacevic, Andjela Markovic, Marianna Mitratza, Marcel van Willigen, Billy Franks, Janneke van de Wijgert, Santiago Montes, Serkan Korkmaz, Jakob Kjellberg, Lorenz Risch, David Conen, Martin Risch, Kirsten Grossman, Ornella C. Weideli, Theo Rispens, Jon Bouwman, Amos A. Folarin, Xi Bai, Richard Dobson, Maureen Cronin, Diederick E. Grobbee, On behalf of the COVID-RED consortium

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Optimizing deep belief network for concrete crack detection via a modified design of ideal gas molecular dynamics by Tan Qin, Gongxing Yan, Huaguo Jiang, Minqi Shen, Andrea Settanni

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A Shield Segment Bolt Detection and Localization Method Based on Ellipse Detection by Jie Liu, Shuaishuai Liu, Zhendong He, Yanqiu Xiao, Guangzhen Cui, Pengpeng Wang

“…The technique uses the elliptical shape of the bolt head in images to accurately determine bolt locations through ellipse detection methods. In response to the issue of decreased elliptical detection accuracy due to circular arc defects, an arc-cluster-based elliptical detection algorithm is further proposed, which encompasses key steps such as image preprocessing, arc clustering, and least squares fitting. …”
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Mental Workload Detection and Assessment Through Statistical Features Extraction and Optimization Using GEL-RF Method for EEG Signals Using N-Back Dataset by Waleed Manzoor, Noman Naseer, Imran Fareed Nizami, Syed Hammad Nazeer, Husam A. Neamah

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Dual-Modal Fusion PRI-SWT Model for Eddy Current Detection of Cracks, Delamination, and Impact Damage in Carbon Fiber-Reinforced Plastic Materials by Rongyan Wen, Chongcong Tao, Hongli Ji, Jinhao Qiu

Subjects: “…CFRP defect detection…”
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