Fractal cycles of sleep, a new aperiodic activity-based definition of sleep cycles by Yevgenia Rosenblum, Mahdad Jafarzadeh Esfahani, Nico Adelhöfer, Paul Zerr, Melanie Furrer, Reto Huber, Famke F Roest, Axel Steiger, Marcel Zeising, Csenge G Horváth, Bence Schneider, Róbert Bódizs, Martin Dresler

“…The fractal cycle algorithm detected cycles with skipped REM sleep in 91–98% of cases. …”
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Efficient Malaria Parasite Detection From Diverse Images of Thick Blood Smears for Cross-Regional Model Accuracy by Yuming Zhong, Ying Dan, Yin Cai, Jiamin Lin, Xiaoyao Huang, Omnia Mahmoud, Eric S. Hald, Akshay Kumar, Qiang Fang, Seedahmed S. Mahmoud

“…This integration involves image acquisition and algorithmic detection of malaria parasites in various thick blood smear (TBS) datasets sourced from different global regions, including low-quality images from Sub-Saharan Africa. …”
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In situ, modeled, and earth observation monitoring of surface water availability in West African rangelands by Kimberly Slinski, Kimberly Slinski, Gabriel B. Senay, Alkhalil Adoum, Shraddhanand Shukla, Amy McNally, James Rowland, Erwann Fillol, Soni Yatheendradas, Soni Yatheendradas, Chris Funk, Andrew Hoell, Michael Jasinski

“…This study compares water availability estimates derived from Landsat and Sentinel 1 satellite imagery to in situ observations and model simulations of water availability in 22 ephemeral ponds located in the Ferlo region of Senegal.Results and discussionThe Active-Passive Water Classification (APWC) algorithm detected surface water at each location. Over 2022 and 2023, water was detected in pond locations annually at a frequency of 68.2% for all ponds and at a frequency of 43.8% for ponds with a surface area <10,000 square meters (m2). …”
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Machine learning classifiers to detect data pattern change of continuous emission monitoring system: A typical chemical industrial park as an example by Zhefeng Xu, Xiahong Shi, Wei Shu, Yilu Xin, Xuan Zan, Zhaonian Si, Jinping Cheng

“…Temporal emission pattern analysis revealed significant changes in 334 instances (90% confidence) across collection weeks, though only 24 aligned with regulatory offsite supervision records, highlighting discrepancies between algorithmic detection and traditional compliance checks. …”
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Mapping Polyclonal HIV-1 Antibody Responses via Next-Generation Neutralization Fingerprinting. by Nicole A Doria-Rose, Han R Altae-Tran, Ryan S Roark, Stephen D Schmidt, Matthew S Sutton, Mark K Louder, Gwo-Yu Chuang, Robert T Bailer, Valerie Cortez, Rui Kong, Krisha McKee, Sijy O'Dell, Felicia Wang, Salim S Abdool Karim, James M Binley, Mark Connors, Barton F Haynes, Malcolm A Martin, David C Montefiori, Lynn Morris, Julie Overbaugh, Peter D Kwong, John R Mascola, Ivelin S Georgiev

“…Specifically, the next-generation NFP algorithms detected multiple specificities in twice as many samples of simulated sera. …”
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A Novel Spectrum Sensing Method for Multiple Unknown Signal Sources Using Frequency Domain Energy Detection and DBSCAN by Rui Gao, Guanghui Yan, Ruiting Niu, Wenwen Chang, Tianfeng Yan, Chunyang Tang

“…The proposed method was implemented using the GNU Radio toolkit for efficient acquisition and processing of in-phase and quadrature (I/Q) data from software-defined radio (SDR) hardware, and transformed this data into power spectral density (PSD) for analysis. The FDED algorithm detects signal occupancy in sub-channels, while FDNE calculates an adaptive threshold based on noise variance estimates. …”
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GPU Accelerated Trilateral Filter for MR Image Restoration by Suthir Sriram, Nivethitha Vijayaraj, T. Srilekha, M. Praveena, Thangavel Murugan

“…Reduction of noise becomes essential for both clinical diagnostic procedures and computer-assisted medical analysis practices which require tissue classification and registration and segmentation algorithms. Detecting and eliminating noise from magnetic resonance images represents a complex medical imaging challenge. …”
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Automatic detection of human gait events: a simple but versatile 3D algorithm by Théo Vancanneyt, Camille Le Moal, Maxence Blard, Juliette Lenoir, Nicolas Roche, Céline Bonnyaud, Fabien Dubois

“…The Multi-Condition algorithm detected both Foot Strike and Foot Off within a range of three frames, which was more accurate and precise than the inter-rater variability of expert correction. …”
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River baseflow in supplying reservoirs inflows of Tehran metropolis: A machine learning modeling based on influencing factors by Bahareh Hossein-Panahi, Sara Mohandes Samani, Amir-Reza Sadeghi, Mahsa Shahi, Seiyed Mossa Hosseini, Esmaeel Parizi

“…The Baseflow Index (BFI), calculated as the ratio of mean BF to total streamflow, revealed BF contributions ranging from 55 % to 89 %, with soil moisture and snowmelt identified as dominant drivers. The BFAST algorithm detected breakpoints in BF trends, linking shifts to climatic variability and human activities like dam operations. …”
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Validation of artificial intelligence algorithm LuxIA for screening of diabetic retinopathy from a single 45° retinal colour fundus images: the CARDS study by Juan Donate-Lopez, Rodrigo Abreu-Gonzalez, Sandro De Zanet, Jose Juan Escobar-Barranco, Carlos Ciller, Stefanos Apostolopoulos, Gabriela Susanna-González, Joseph P M Blair, Romina M Lasagni Vitar, José Natán Rodríguez Martín, Carlos Bermúdez, Alfonso Luis Calle Pascual, Elena Rigo, Enrique Cervera Taulet, Rosario Cobo-Soriano

“…LuxIA output was an ordinal score (1–5), indicating a classification as mtmDR based on an ICDR severity score.Results 945 patients with DM were included; the mean (SD) age was 64.6 (13.5) years. The LuxIA algorithm detected mtmDR with a sensitivity and specificity of 97.1% and 94.8%, respectively. …”
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Comparative analysis of the Traditional, Reverse and European Centre for Disease Prevention and Control algorithms and utilization of WHO NET software for syphilis serodiagnosis in... by Abirami Lakshmy Jayachandran, Sankara Dhanapaul, Visuvasam Joshua, Balan Kandasamy

“…Reverse algorithm and ECDC algorithm detected more cases. The missed diagnosis percentage was 10 (71.42%) for traditional algorithm. …”
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Trade-Offs Between Simplifying Inertial Measurement Unit–Based Movement Recordings and the Attainability of Different Levels of Analyses: Systematic Assessment of Method Variations... by Manu Airaksinen, Okko Räsänen, Sampsa Vanhatalo

“…The IMU data can be used for an algorithmic detection of different postures and movements, which may support more detailed assessments of complex behaviors, such as daily activities. …”
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Machine Learning Model for Early Detection of COVID-19 by Heart Rhythm Abnormalities by M. S. Mezhov, V. O. Kozitsin, Iu. D. Katser

“…The solution has an acceptable detection quality for preclinical screening of COVID-19-related cardiovascular disorders. The algorithm detects anomalies in 83 % of cases. Four minutes is enough to record a rhythm strip. …”
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Machine-learning detection of stress severity expressed on a continuous scale using acoustic, verbal, visual, and physiological data: lessons learned by Marketa Ciharova, Khadicha Amarti, Ward van Breda, Ward van Breda, Martin J. Gevonden, Sina Ghassemi, Annet Kleiboer, Christiaan H. Vinkers, Christiaan H. Vinkers, Christiaan H. Vinkers, Christiaan H. Vinkers, Milou S. C. Sep, Milou S. C. Sep, Milou S. C. Sep, Milou S. C. Sep, Sophia Trofimova, Alexander C. Cooper, Xianhua Peng, Xianhua Peng, Mieke Schulte, Mieke Schulte, Eirini Karyotaki, Eirini Karyotaki, Eirini Karyotaki, Pim Cuijpers, Pim Cuijpers, Pim Cuijpers, Heleen Riper, Heleen Riper

“…However, investigation of algorithms detecting stress severity on a continuous scale is missing due to high demands on data quality for such analyses. …”
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Optimizing Prescribing for Individuals With Type 2 Diabetes and Chronic Kidney Disease Through the Development and Validation of Algorithms for Community Pharmacists by Jennifer Morris, Marisa Battistella, Karthik Tennankore, Steven Soroka, Cynthia Kendell, Penelope Poyah, Keigan More, Mathew Grandy, Thomas Ransom, Natalie Kennie-Kaulbach, Daniel Rainkie, Jaclyn Tran, Syed Sibte Raza Abidi, Samina Abidi, Nicole Fulford, Heather Neville, Heather Naylor, Lisa Woodill, Andrea Bishop, Glenn Rodrigues, Diane Harpell, Michelle Stewart, Jo-Anne Wilson

“…Best evidence was collated with literature searches, and experts in nephrology, endocrinology, family medicine, nursing, and pharmacy revised the algorithms until there was consensus agreement on 4 final algorithms (detection of T2D and CKD, initiation/titration of angiotensin-converting enzyme inhibitors or angiotensin receptor blockers, and initiation/management of sodium-glucose cotransporter-2 inhibitors and finerenone). …”
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Social Media Suicide Watch by Katherine Prothro

“…These distinctions are critical in determining the appropriate level of intervention, something that human judgment may handle more effectively than algorithmic detection. Additionally, existing systems designed to prevent suicide already infringe on individual rights. …”
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