Sparse Decomposition-Based Anti-Spoofing Framework for GNSS Receiver: Spoofing Detection, Classification, and Position Recovery by Yuxin He, Xuebin Zhuang, Bing Xu

“…Experiments on the TEXBAT dataset show that the proposed algorithm detects 98% of spoofing attacks, ensuring stable position recovery with an average RMSE of 6.32 m across various time periods.…”
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Unmasking social bots: how confident are we? by James Giroux, Gangani Ariyarathne, Alexander C. Nwala, Cristiano Fanelli

“…Despite the progress made in developing multiple sophisticated social bot detection algorithms and tools, bot detection remains a challenging, unsolved problem that is fraught with uncertainty due to the heterogeneity of bot behaviors, training data, and detection algorithms. Detection models often disagree on whether to label the same account as bot or human-controlled. …”
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A combined fault detection and diagnoses algorithm for open circuit faults and magnetic faults in a five-phase PMSM drive by Sabna M., Mini V.P., Ushakumari S., Mayadevi N., Harikumar R.

“…The proposed algorithm is experimentally validated using a Raspberry Pi. The proposed algorithm detects and diagnoses the open circuit faults and demagnetization faults in a 5ϕ-PMSM drive within two cycles of normalized stator currents.…”
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Algorithm-Based Real-Time Analysis of Heart Rate Measures in HIIT Training: An Automated Approach by Sergio Amat, Sonia Busquier, Carlos D. Gómez-Carmona, Manuel Gómez-López, José Pino-Ortega

“…This study proposes an automated algorithm to identify key heart rate parameters in real time, eliminating the need for manual supervision. The algorithm detects local maxima and minima in the heart rate signals recorded during HIIT sessions and calculates ascending and descending slopes, as well as intermediate averages, to evaluate cardiovascular response and recovery. …”
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Drone-assisted adaptive object detection and privacy-preserving surveillance in smart cities using whale-optimized deep reinforcement learning techniques by Ahmed Abu-Khadrah, Ahmad Al-Qerem, Mohammad R. Hassan, Ali Mohd Ali, Muath Jarrah

“…The optimization algorithm detects spreading image features from the origin to the end of x×y pixels. …”
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Improvement of crack tip position estimation in DIC images by image processing methods by Najat Zekriti, Fatima Majid, Hachimi Taoufik, Yassine Tounsi, Rajaa Rhanim, Ibrahim Mrani, Hassan Rhanim

“…However, the second procedure involves a developed algorithm detecting the discontinuity using digital image correlation (DIC) measurement. …”
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An algorithm to Detect Overlapping Red Blood Cells for Sickle Cell Disease Diagnosis. by Mabirizi, Vicent, Kawuma, Simon, Safari, Yonasi

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Exploring Continuous Seismic Data at an Industry Facility Using Unsupervised Machine Learning by Chengping Chai, Omar Marcillo, Monica Maceira, Junghyun Park, Stephen Arrowsmith, James O. Thomas, Joshua Cunningham

“…Furthermore, the algorithms detected signal clusters from unknown sources and underline the ability of unsupervised machine learning for uncovering previously unrecognized patterns. …”
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Assessment of Blind-Spots and Multi-Path Effects at Indoor Positioning by Multilateration by N. Doğan, Ö. H. Bettemir

“…Moreover, an algorithm for the detection of multipath is proposed and tested by simulation. The algorithm detected 31 multipath cases among the 35 multipath situations and significantly improved the resultant positioning accuracy. …”
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Plasticulture detection at the country scale by combining multispectral and SAR satellite data by Alessandro Fabrizi, Peter Fiener, Thomas Jagdhuber, Kristof Van Oost, Florian Wilken

“…., greenhouse, tunnel) across Germany. The algorithm detected 103 103 ha of PMF and 37 103 ha of PCV in 2020, while a combination of agricultural statistics and surveys estimated a smaller plasticulture cover of around 100 103 ha in 2019. …”
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Computer‐aided biochemical programming of synthetic microreactors as diagnostic devices by Alexis Courbet, Patrick Amar, François Fages, Eric Renard, Franck Molina

“…We show that proof‐of‐concept protosensors integrating diagnostic algorithms detect specific patterns of biomarkers in human clinical samples. …”
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Online and Offline Identification of False Data Injection Attacks in Battery Sensors Using a Single Particle Model by Victoria A. O'Brien, Vittal S. Rao, Rodrigo D. Trevizan

“…Throughout the batch simulations, the CUSUM algorithm detected attacks, with no false positives, in 99.83% of cases, identified the corrupted sensor in 97% of cases, and determined if the attack was positively or negatively biased in 97% of cases.…”
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A Novel Vehicle Stationary Detection Utilizing Map Matching and IMU Sensors by Md. Syedul Amin, Mamun Bin Ibne Reaz, Salwa Sheikh Nasir, Mohammad Arif Sobhan Bhuiyan, Mohd. Alauddin Mohd. Ali

“…Besides, the map matching (MM) algorithm detects the intersections where the vehicle is likely to stop. …”
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Optimum Median Filter Based on Crow Optimization Algorithm by Basma Jumaa Saleh, Ahmed Yousif Falih Saedi, Ali Talib Qasim al-Aqbi, Lamees abdalhasan Salman

“…The fundamental idea of the approach is that first, the crow optimization algorithm detects noise pixels, and that replacing them with an optimum median value depending on a criterion of maximization fitness function. …”
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Traffic Sign Detection and Quality Assessment Using YOLOv8 in Daytime and Nighttime Conditions by Ziyad N. Aldoski, Csaba Koren

“…Human evaluations further provided insights into subjective perceptions of visibility and their relationship with algorithmic detection, underscoring areas for potential improvement. …”
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Early detection of thermal image based T1 breast cancer using enhanced multiwavelet denoised convolution neural network with region based analysis by P. Geetha, S. UmaMaheswari

“…The proposed MWTDnCNN algorithm detects T1-stage cancer of size 1.29 mm.…”
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Detecting Anomalies in CPU Behavior Using Clustering Algorithms from the Scikit-Learn Library in Python Programming Language by Artem Turashev, Vladimir Sukhomlin

“…Experiments are conducted on real data obtained from CPU monitoring systems to evaluate the performance and compare the results of different algorithms. Detecting CPU anomalies is an important task that helps improve the quality of computer systems. …”
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Correlating Patient Symptoms and CT Morphology in AI-Detected Incidental Pulmonary Embolisms by Selim Abed, Lucas Brandstetter, Klaus Hergan

“…This study aimed to assess the clinical and radiological significance of IPEs that a deep learning AI algorithm detected and correlate them with thrombotic burden, CT morphologic signs of right heart strain, and clinical symptoms. …”
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Developing an Algorithm for Robotic Precision Application of Crop Protection Products by M. A. Mirzaev

“…The network-based algorithm detects, segments, and positions plants based on a dataset collected in the image-mask and COCO dataset formats. …”
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Leveraging the Louvain algorithm for enhanced group formation and collaboration in online learning environments by Minkyung Lee, Priya Sharma

“…The results indicate that algorithmically detected groups exhibit strong internal communication and cohesiveness, as evidenced by high clustering coefficients, density values, and weighted degrees. …”
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