Monitoring Method and Performance Analysis of Climbing Scaffolds in Super High-Rise Buildings Based on BeiDou/GNSS Technology by Pengfei Wang, Gen Liu, Jian Wang, Ping Zhu, Jiaqi Guo, Jingxuan Zhang, Heyu Zhang, Yijia Liu

“…Experimental results demonstrated that the system effectively reduced high-frequency noise and gross errors, achieving root mean square error (RMSE) reductions of 51.4% in the E direction, 45.5% in the N direction, and 49.6% in the U direction. …”
Get full text

Improved K-Means Algorithm for Nearby Target Localization by Zongwen Yuan, Xingdi Wang, Fuyang Chen, Xicheng Ma

“…Finally, we propose an invalid compensation algorithm to filter out invalid signals, thereby compensating for the estimation errors in angles. Through the collection of real-world data, we compare the performance of the traditional direction finding and cross-fixing algorithms with the proposed algorithm in the localization of nearby target points. …”
Get full text

Optimal Color Model for Information Hidingin Color Images by Baghdad Science Journal

“…The same procedures of embedding, detection and evaluation were applied to find which color model is most appropriate for information hiding. …”
Get full text

Learning Condition-Invariant Scene Representations for Place Recognition across the Seasons Using Auto-Encoder and ICA by Tariqul Islam, Sheikh Rabiul Islam, Mahbubur Rahman

“…However, the map becomes inconsistent when the robot moves in the environment and detects errors with emotional accuracy. The loop-closure detection is the process through which a robot can acknowledge the location visited previously, which can identify the ultimate solution to the previous problem. …”
Get full text

Circuit-Based Leakage-to-Erasure Conversion in a Neutral-Atom Quantum Processor by Matthew N. H. Chow, Vikas Buchemmavari, Sivaprasad Omanakuttan, Bethany J. Little, Saurabh Pandey, Ivan H. Deutsch, Yuan-Yu Jau

“…We benchmark the performance of the LDU using a three-outcome low-loss state-detection method and find that the LDU detects atom-loss errors with approximately 93.4% accuracy, limited by technical imperfections of our apparatus. …”
Get full text

Variant filters using segregation information improve mapping of nectar‐production genes in sunflower (Helianthus annuus L.) by Ashley C. Barstow, James P. McNellie, Brian C. Smart, Kyle G. Keepers, Jarrad R. Prasifka, Nolan C. Kane, Brent S. Hulke

“…In finding nine putative homologs of Arabidopsis genes with nectary function within QTL regions, we demonstrate that this filtering strategy has a higher power of true variant detection in QTL mapping than the commonly used variant depth filtering strategy. …”
Get full text

Improving quantum metrology protocols with programmable photonic circuits by de las Heras Alberto Muñoz, Porras Diego, González-Tudela Alejandro

“…Deterministic protocols using non-linear interactions offer a path to overcome this problem, but they are currently limited by the errors introduced during the interaction time. Thus, finding strategies to minimize the interaction time of these non-linearities is still a relevant question. …”
Get full text

Numerical simulation of experiments on determining the type of initial anisotropy of an elastic material by D.V. Khristich, D.A. Sukhorukov, M.Yu. Sokolova

“…A program of experiments that allows one to determine the type of an anisotropic material without finding all the components of the elastic compliance tensor in an arbitrary laboratory coordinate system and, simultaneously, to detect the position of the canonical axes of anisotropy in the material is developed. …”
Get full text

Design of a logistics warehouse robot positioning and recognition model based on improved EKF and calibration algorithm by Yunbo Wang, Chao Ye

“…This research offers robust positioning and mapping capabilities in logistics warehousing environments, effectively identifying errors and ensuring pallet accuracy. The detection error and accuracy of this method are better than the other three models, with the lowest average absolute error of 0.32 and the lowest root-mean-square error of 0.27, and the overall error in the detection of pallets is small. …”
Get full text

Understanding the impact of AI Hallucinations on the university community by Hend Kamel

“… Since we live in the era of the information revolution, finding trusted and accurate information takes time and effort made students and researchers aim to find an easier way. …”
Get full text

The use of artificial intelligence for automatic analysis and reporting of software defects by Mark Esposito, Mark Esposito, Saman Sarbazvatan, Terence Tse, Gabriel Silva-Atencio

“…In this context, artificial intelligence (AI) has taken a relevant role in improving these processes, since it incorporates mathematical models that allow analyzing the logical structure of the systems to detect and reduce errors or failures in real-time. …”
Get full text

Empirical prediction intervals applied to short term mortality forecasts and excess deaths by Ricarda Duerst, Jonas Schöley

“…This research addresses this issue by analyzing the error distribution in forecasts of weekly deaths. …”
Get full text

UOrtos: Methodology for Co-Registration and Subpixel Georeferencing of Satellite Imagery for Coastal Monitoring by Gonzalo Simarro, Daniel Calvete, Francesca Ribas, Yeray Castillo, Càrol Puig-Polo

“…This approach can enhance the precision of existing algorithms for coastal feature tracking, such as shoreline detection, and aids in differentiating georeferencing errors from the actual impacts of storms or beach nourishment activities. …”
Get full text

Multi-Lane Automated Catfish Seed Counting System Using Real-Time Operating System on Embedded Platforms by Bayu Santoso, Dahnial Syauqy, Agung Setia Budi

“…To enhance efficiency and reduce counting errors, this study proposes an automated catfish seed counting system. …”
Get full text

A general approach for haplotype phasing across the full spectrum of relatedness. by Jared O'Connell, Deepti Gurdasani, Olivier Delaneau, Nicola Pirastu, Sheila Ulivi, Massimiliano Cocca, Michela Traglia, Jie Huang, Jennifer E Huffman, Igor Rudan, Ruth McQuillan, Ross M Fraser, Harry Campbell, Ozren Polasek, Gershim Asiki, Kenneth Ekoru, Caroline Hayward, Alan F Wright, Veronique Vitart, Pau Navarro, Jean-Francois Zagury, James F Wilson, Daniela Toniolo, Paolo Gasparini, Nicole Soranzo, Manjinder S Sandhu, Jonathan Marchini

“…This allows the correction of switch errors, detection of recombination events and genotyping errors. …”
Get full text

Research on Spatial Localization Method of Magnetic Nanoparticle Samples Based on Second Harmonic Waves by Zheyan Wang, Ping Huang, Fuyin Zheng, Hongli Yu, Yue Li, Zhichuan Qiu, Lingke Gai, Zhiyao Liu, Shi Bai

“…This implies that the saturated DC bias field corresponding to the second harmonic signal can be used to determine the magnetic nanoparticle sample detection depth. The experimental results validated the method’s high accuracy, with axial detection distance and concentration reduction errors of only 4.8% and 4.1%, respectively. …”
Get full text

Automatic Extraction and Visualization of Interaction Networks for German Fairy Tales by David Schmidt, Frank Puppe

“…This requires the combination of algorithms for several tasks: coreference resolution for the identification of characters and their appearances, as well as speaker/addressee detection and the detection of dialogue boundaries for the identification of interactions. …”
Get full text

Effect of audit firm industry specialization on cost of debt financing: Evidence from Ghana by Ebenezer Nana Yeboah, Zhou Yang, Benedict Arthur, Gabriel Kyeremeh

“…We hypothesize that audit firm industry specialization reduces client cost of debt since auditors with industry specialization are more likely to deter and detect questionable accounting practices and report material errors and irregularities. …”
Get full text

cONcat: Computational reconstruction of concatenated fragments from long Oxford Nanopore reads. by Alexander J Petri, Mai Thi-Huyen Nguyen, Anjali Rajwar, Erik Benson, Kristoffer Sahlin

“…In our experiments on simulated and experimental data, cONcat accurately detects the correct fragment coverings given the short fragment sizes (< 20 bp) and the sequencing errors present in ONT reads. …”
Get full text

Non-Invasive Glucose Monitoring Technologies Innovations Applications and Future Directions by Wu Kerui

“…This comprehensive review analyzes principle innovations and industrial applications of non-invasive glucose monitoring technologies, employing technical evolution pathway analysis and clinical data benchmarking to evaluate seven methodological paradigms - including spectroscopy, electrochemistry, and microwave sensing - along with their translational achievements in wearable devices and healthcare systems. Key findings demonstrate: multi-modal sensing reduces detection errors to 8.7% through signal complementarity, with millimeter-wave radar technology achieving 5-minute continuous monitoring (r=0.912); flexible electronic skin breakthroughs 72-hour operational endurance (sensitivity 0.03nA/(mg/dL)); and intelligent closed-loop systems enhance glycated hemoglobin compliance rates by 42%. …”
Get full text