Amplified Sensitivity in SERS Detection of L1CAM With Silver Plasmonic Mesoporous Silica Capsules on an Imprinted Films by Yuselis Castaño‐Guerrero, Belén Arjones‐Fernández, Felismina T.C. Moreira, Ramon A. Alvarez‐Puebla, Miguel A. Correa‐Duarte, H. Águas, M. Goreti F. Sales

“…Thus, the combination of dual detection and recognition capabilities presents promising potential for detecting diverse biomarkers, especially in critical scenarios where reducing false‐positive or false‐negative errors is crucial.…”
Get full text

Signal Detection in Intelligent Reflecting Surface-Assisted NOMA Network Using LSTM Model: A ML Approach by Haleema Sadia, Hafsa Iqbal, Syed Fawad Hussain, Nasir Saeed

“…In this article, we propose a machine learning (ML)-based approach to perform joint channel estimation and signal detection in an IRS-enabled uplink NOMA network under efficient mitigation of SIC error propagation. …”
Get full text

Using the optimal combined index weight ratio to improve the probability of anomaly detection in big area additive manufacturing by Monique S. McClain, Dhrubajit Chowdhury, Omar Eldaghar, Kris Villez

“…Approach 2 systematically varies the ratio of the weights to find the optimum. We show that approach 1 delivers optimal anomaly detection performance in select cases while approach 2 fares better in practice. …”
Get full text

Waterbody Detection and Reservoir Water Level Prediction Using Bayesian Mixture Models with Sentinel-1 GRD Data by DongHyeon Yoon, Ha-Eun Yu, Euiho Hwang, Ki-mook Kang, Gibeom Nam, Jin-Gyeom Kim

“…The mean absolute error values obtained validate the model’s capability to monitor water level fluctuations with a satisfactory degree of accuracy. …”
Get full text

Efficacy of two radiographic algorithms for detection of peri-implant bone defects on cone-beam computed tomography scans by Faezeh Yousefi, Ali Heidari, Azita Ehsani, Maryam Farhadian, Marzieh Ehsani

“…By the advances in cone-beam computed tomography (CBCT) scanners and introduction of new algorithms, it is important to find the most efficient protocol for detection of bone defects. …”
Get full text

Stress can be detected during emotion-evoking smartphone use: a pilot study using machine learning by Lydia Helene Rupp, Akash Kumar, Misha Sadeghi, Lena Schindler-Gmelch, Marie Keinert, Bjoern M. Eskofier, Bjoern M. Eskofier, Matthias Berking

“…XGBoost showed to be more reliable for prediction, with lower error for both training and test data.DiscussionThe findings provide further evidence that non-invasive video recordings can complement standard objective and subjective markers of stress.…”
Get full text

The multifaceted role of the inferior colliculus in sensory prediction, reward processing, and decision-making by Xinyu Du, Haoxuan Xu, Peirun Song, Yuying Zhai, Hangting Ye, Xuehui Bao, Qianyue Huang, Hisashi Tanigawa, Zhiyi Tu, Pei Chen, Xuan Zhao, Josef P Rauschecker, Xiongjie Yu

“…Moreover, our findings demonstrate reward prediction errors within the IC, highlighting its complex integration in auditory and reward processing. …”
Get full text

Tracking gain and loss of impervious surfaces by integrating continuous change detection and multitemporal classifications from 1985 to 2022 in Beijing by Xiao Zhang, Liangyun Liu, Wenhan Zhang, Linlin Guan, Ming Bai, Tingting Zhao, Zhehua Li, Xidong Chen

“…Specifically, we built dual continuous-change-detection models to pursue lower commission and omission errors for generating time-series training samples. …”
Get full text

An automated platform trial framework for A/B testing by Wenru Zhou, Miranda Kroehl, Maxene Meier, Alexander Kaizer

Get full text

RNA Splicing Aberrations in Hereditary Cancer: Insights from Turkish Patients by Seda Kilic, Ozge Sukruoglu Erdogan, Seref Bugra Tuncer, Betul Celik Demirbas, Zubeyde Yalniz Kayim, Hulya Yazici

Get full text

Outlier Traffic Flow Detection and Pattern Analysis Under Unplanned Disruptions: A Low-Rank Robust Decomposition Model by Zhipeng Duan

“…Outlier traffic flow detection under unplanned disruptions is vital for operational safety and management. …”
Get full text

Deep learning model based on cascaded autoencoders and one‐class learning for detection and localization of anomalies from surveillance videos by Karishma Pawar, Vahida Attar

“…Assigning human personnel to continuously check the surveillance videos for finding suspicious activities such as violence, robbery, wrong U‐turns, to mention a few, is a laborious and error‐prone task. …”
Get full text

Enhancing Fault Detection in Stochastic Environments Using Interval-Valued KPCA: A Cement Rotary Kiln Case Study by Abdelhalim Louifi, Abdelmalek Kouadri, Mohamed-Faouzi Harkat, Abderazak Bensmail, Majdi Mansouri

“…Fault detection in industrial processes is challenging due to significant data uncertainty, which complicates the accurate modeling of interval-valued data and the quantification of errors necessary for reliable detection. …”
Get full text

Evaluating the Effectiveness of Artificial Intelligence in Prostate Cancer Detection using Biparametric Magnetic Resonance Imaging: A Comparative Study by Rossy Vlăduţ TEICĂ, Ioana Andreea GHEONEA

“…Error distribution included 36% false-negative findings, 21% false-positive findings, 20% PI-RADS (Prostate Imaging-Reporting and Data System) overestimations, and 23% PI-RADS underestimations. …”
Get full text

OGLE-2016-BLG-1195Lb: A Sub-Neptune Beyond the Snow Line of an M-dwarf Confirmed by Keck Adaptive Optics by Aikaterini Vandorou, Lisa Dang, David P. Bennett, Naoki Koshimoto, Sean K. Terry, Andrzej Udalski, Jean-Philippe Beaulieu, Christophe Alard, Aparna Bhattacharya, Joshua W. Blackman, Ian A. Bond, Tarik Bouchoutrouch-Ku, Andrew A. Cole, Nicolas B. Cowan, Jean-Baptiste Marquette, Clément Ranc, Natalia E. Rektsini, Sylvain Cetre, Jim Lyke, Eduardo Marin, Peter Wizinowich

“…We find that we cannot confidently recover the same detrended light curve that is likely dominated by systematic errors in the photometric data. …”
Get full text

Toward automated plantar pressure analysis: machine learning-based segmentation and key point detection across multicenter data by Carlo Dindorf, Jonas Dully, Steven Simon, Dennis Perchthaler, Stephan Becker, Hannah Ehmann, Christian Diers, Christoph Garth, Michael Fröhlich

“…Furthermore, regression-based approaches generated higher errors in key point detection of the interdigital space 2–3 (Median Euclidean distance = 10.06) than in metatarsal area 1 center (Median Euclidean distance = 7.72). …”
Get full text

Pengolahan Citra Berbasis Video Proccesing dengan Metode Frame Difference untuk Deteksi Gerak by Yovi Apridiansyah, Ardi Wijaya, Pahrizal, Rozali Toyib, Arif Setiawan

“…This method process is based on the difference between two consecutive frames in the video aimed at finding differences that occur during the detection process. …”
Get full text

Flood Detection and Susceptibility Mapping Using Sentinel-1 Time Series, Alternating Decision Trees, and Bag-ADTree Models by Ayub Mohammadi, Khalil Valizadeh Kamran, Sadra Karimzadeh, Himan Shahabi, Nadhir Al-Ansari

“…Findings showed that root mean square error was 0.31 and 0.3 for ADTree and bag-ADTree techniques, respectively. …”
Get full text

Enhanced Leakage Detection and Estimation via a Hybrid Genetic Algorithm and High-Order Sliding Modes Observer Approach by David Pumaricra-Rojas, Gustavo Perez-Zuniga, Javier Sotomayor-Moriano

“…A parameterized model based on momentum and mass balance equations with discretization is used, where the parameters are the location and magnitude of the leakage. To find these parameters, it incorporates the Genetic Algorithm to solve an optimization problem that relies on a function cost related to the error norm between measurements and states estimation from HOSMO in order to measure the difference between the model with an assumed leakage and the real leakage. …”
Get full text

Economic Clues to Crime: Insights from Mongolia by Dagvasuren Ganbold, Enkhbayar Jamsranjav, Young-Rae Kim, Erdenechuluun Jargalsaikhan

“…The empirical findings reveal that detection rates exert a statistically significant deterrent effect on robbery in the short term, while incarceration rates are effective in reducing theft. …”
Get full text