Cluster Analysis of RF-EMF Exposure to Detect Time Patterns in Urban Environment: A Model-Based Approach by Nicola Pasquino, Nunzia Solmonte, Nikola Djuric, Dragan Kljajic, Snezana Djuric

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A Combined Index of Steady-State Pattern Electroretinogram and Optical Coherence Tomography Improved the Detection of Early Glaucoma by Hwayeong Kim, Sangwoo Moon, EunAh Kim, Jinmi Kim, Jiwoong Lee

“… Introduction: The aims of the study were to evaluate the structure-function relationship between steady-state pattern electroretinogram (ssPERG), optical coherence tomography (OCT), and visual field (VF) tests and to investigate indicators that enhance the detection of preperimetric and early-stage primary open-angle glaucoma (POAG). …”
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Bioimpedance Vector Pattern in Taiwanese and Polish College Students Detected by Bioelectric Impedance Vector Analysis: Preliminary Observations by Teresa Malecka-Massalska, Agata Smolen, Elzbieta Madro, Wojciech Surtel

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The added value of diagnostics to characterize age-specific patterns of respiratory viral infections and coinfections and to detect emerging threats by Alessandra Pierangeli, Ombretta Turriziani, Matteo Fracella, Roberta Campagna, Federica Frasca, Alessandra D’Auria, Carolina Scagnolari, Piergiorgio Roberto, Lilia Cinti, Gabriella D’Ettorre, Giancarlo Ceccarelli, Laura Petrarca, Raffaella Nenna, Fabio Midulla, Gioacchino Galardo, Guido Antonelli

“…Molecular diagnostic data should be integrated with surveillance programs to characterize seasonal circulation patterns of common respiratory viruses and to rapidly detect the next pandemic threat.…”
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A New Feature Extraction Technique Based on 1D Local Binary Pattern for Gear Fault Detection by Zrar Kh. Abdul, Abdulbasit Al-Talabani, Ayub O. Abdulrahman

“…Gear fault detection is one of the underlying research areas in the field of condition monitoring of rotating machines. …”
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A multiple pattern complex event detection scheme based on decomposition and merge sharing for massive event streams by Jianhua Wang, Bang Ji, Feng Lin, Shilei Lu, Yubin Lan, Lianglun Cheng

“…Quickly detecting related primitive events for multiple complex events from massive event stream usually faces with a great challenge due to their single pattern characteristic of the existing complex event detection methods. …”
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Analyzing Taiwanese Traffic Patterns on Consecutive Holidays Through Forecast Reconciliation and Prediction-Based Anomaly Detection Techniques by Mahsa Ashouri, Frederick Kin Hing Phoa, Marzia Angela Cremona

“…This study explores traffic patterns on Taiwanese highways during consecutive holidays, with a focus on understanding the behavior of Taiwanese highway traffic. …”
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PATTERN OF GENITAL INJURY IN MALES WITH TUBERCULOSIS by P. I. Stepanov

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Learning Power Systems Waveform Incipient Patterns Through Few-Shot Meta-Learning by Lixian Shi, Qiushi Cui, Yang Weng, Yigong Zhang, Shilong Chen, Jian Li, Wenyuan Li

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Neuromuscular and motor patterns in breaststroke technique by Ana Conceição, António José Silva, Tiago Barbosa, Jorge Campaniço, Aldo Costa, Hugo Louro

“…The relative duration of active and non-active phase and the average rectified value for the neuromuscular patterns were recorded. The swim bouts were videotaped in sagittal plane with a pair of cameras and the Theme software 5.0 was used toanalyse the detected patterns in each swimmer. …”
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Cardioprotective dietary pattern of Siberian population by Darya P. Tsygankova, Evgeny D. Bazdyrev, Alena S. Agienko, Olga V. Nakhratova, Elena V. Indukaeva, Galina V. Artamonova, Olga L. Barbarash

“…Adherence to the protein-and-carbohydrate dietary pattern was connected to a reduced risk of detecting obesity in terms of BMI criteria (OR=0.75, CI: 0.6-0.95, p=0.015), WC (OR=0.52, CI:0.41-0.66), DM (OR=0.66, CI:0.47-0.93), hypercholesterolemia (OR=0.78, CI:0.62-0.98) and hypertriglyceridemia (OR=0.66, CI:0.52-0.83). …”
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Detection of Bacterial causes of diarrhea in patients with SARS-CoV-2 in Samarraa city by Noor Asaad Ahmed, Bashar Sadiq Noomi, Osama N. Najris

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Real-time locomotion mode detection in individuals with transfemoral amputation and osseointegration by Bahareh Ahkami, Morten B. Kristoffersen, Max Ortiz-Catalan

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Discovering Breach Patterns on the Internet of Health Things: A Graph and Machine Learning Anomaly Analysis by Prabin B Lamichhane, Hannah Mannering, William Eberle

Subjects: “…anomaly detection…”
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Microscopic features of lignin deposition patterns in young apple roots using brightfield and fluorescence imaging by Yanmin Zhu, Jordan Rainbow, Zhe Zhou

“…The quenched fluorescence intensity due to lignin specific staining corroborated the hypothesis that lignin deposition is a critical component of the detected fluorescence from these sections. The genotype-specific lignin deposition patterns, particularly around vascular bundles, may suggest intrinsic differences in lignin richness and/or monolignol composition between genotypes. …”
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Integration of wing pattern morphology and deep learning to support Plusiinae (Lepidoptera: Noctuidae) pest identification by Karina M. Torres, Chenjiao Tan, Kayla A. Mollet, Allan H. Smith-Pardo, Rui Xu, Changying Li, Silvana V. Paula-Moraes

“…Current identification methods of plusiine adults are laborious, expensive, and thus inefficient for rapid detection of pests like SBL. This study explores the use of deep learning models and visualization techniques to explain the learned features from forewing patterns as an identification tool for SBL and differentiation from morphologically similar plusiines. …”
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SLEEP-SAFE: Self-Supervised Learning for Estimating Electroencephalogram Patterns With Structural Analysis of Fatigue Evidence by Wonjun Ko, Jeongwon Choe, Jonggu Kang

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STID-Net: Optimizing Intrusion Detection in IoT with Gradient Descent by James Deva Koresh Hezekiah, Usha Nandini Duraisamy, Kalaichelvi Nallusamy, Avudaiammal Ramalingam, Saranya Chandran, Murugesan Rajeswari Thiyagupriyadharsan, Periasamy Selvaraju, Rajagopal Maheswar

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A deep learning approach for epilepsy seizure detection using EEG signals by Manoj Kaushik, Divyanshu Singh, Malay Kishore-Dutta, Carlos M. Travieso

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Fundamental Understanding of Magnetic Reconnection via Spiral CT Scan. II. Ion-velocity Pattern and Electron-velocity Pattern by H. S. Fu, Z. Wang, J. B. Cao

“…For the first time, we reveal the ion-velocity pattern and electron-velocity pattern around a reconnection X-line by using the spiral CT scan technique, which is a novel technique analogous to that in the hospital. …”
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