Early Detection of Multiwavelength Blazar Variability by Hermann Stolte, Jonas Sinapius, Iftach Sadeh, Elisa Pueschel, Matthias Weidlich, David Berge

“…Based on unsupervised anomaly detection and clustering methods, we differentiate source variability from noisy background activity, without the need for a labeled training data set of flaring states. …”
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Impact of stellar variability on exoplanet detectability and characterisation by Meunier, Nadège

“…Stellar variability has become a major issue to detect low mass planets using the radial velocity technique. …”
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An Efficient Aerial Image Detection with Variable Receptive Fields by Wenbin Liu, Liangren Shi, Guocheng An

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Estimating the influence of accounting variables change on earnings management detection by Igor Pustylnick, Oksana Temchenko, Sergey Gubarkov

“…In addition, we also look at the accounting variables used in the calculation of the detection criterion and determine which ones of them play the main role in revenue manipulations.…”
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Molecular detection and genetic variability of Fusarium oxysporum mating types by Ernestina Valadez-Moctezuma

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Detection of genetic variability in dairy cattle infectivity for bovine tuberculosis by D. Madenci, E. Sánchez-Molano, M. Winters, A. Mitchell, M.P. Coffey, J.D. Hadfield, J.A. Woolliams, G. Banos, A. Doeschl-Wilson

“…Genetic analysis of the number of secondary cases (NrSC) associated with a given index case was used to establish evidence of genetic variability in bTB infectivity of cattle, and derive EBV for infectivity for the sires of the index cases. …”
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Related and independent variable fault detection method based on KPCA-SVM by GUO Jinyu, YU Huan, LI Yuan

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A dependence detection heuristic in causal induction to handle nonbinary variables by Kohki Higuchi, Tomohiro Shirakawa, Hiroto Ichino, Tatsuji Takahashi

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Imaginary latent variables: Empirical testing for detecting deficiency in reflective measures by Marco Vassallo

“…This article aimed to advance this practice and rationalize the imaginary latent variables as a method to detect possible latent deficiencies in measurement models. …”
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An Improved Adaptive Variable Step Size LMS Algorithm for Harmonic Detection by ZHANG Han

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Damage Detection of Bridges Using Vibration Data by Adjoint Variable Method by Akbar Mirzaee, Mohsenali Shayanfar, Reza Abbasnia

“…This research entails a theoretical and numerical study on a new damage detection method for bridges, using response sensitivity in time domain. …”
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Detecting Differentially Variable MicroRNAs via Model-Based Clustering by Xuan Li, Yuejiao Fu, Xiaogang Wang, Dawn L. DeMeo, Kelan Tantisira, Scott T. Weiss, Weiliang Qiu

“…Identifying differentially variable (DV) genomic probes is becoming a new approach to detect novel genomic risk factors for complex human diseases. …”
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Malware Evolution and Detection Based on the Variable Precision Rough Set Model by Manel Jerbi, Zaineb Chelly Dagdia, Slim Bechikh, Lamjed Ben Said

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Fraud Detection Using a Fuzzy Expert System In Motor Insurance by Seyed Mohammadtaghi TaghaviFard, Zahra Jafari

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RELIABILITY AND SENSITIVITY OF COUNTERMOVEMENT JUMP-DERIVED VARIABLES IN DETECTING DIFFERENT FATIGUE LEVELS by Débora Aparecida Knihs, Daniele Detanico, Daniel Rocha da Silva, Juliano Dal Pupo

“…ABSTRACT The aim was to verify the reliability and sensitivity of countermovement jump (CMJ) derived variables in detecting small, moderate and large changes and whether the capacity of CMJ-derived variables in detecting fatigue is dependent of the volume of the fatiguing exercise. …”
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Intrusion detection model of random attention capsule network based on variable fusion by Xinglan ZHANG, Shenglin YIN

“…In order to enhance the accuracy and generalization of the detection model,an intrusion detection model of random attention capsule network with variable fusion was proposed.Through dynamic feature fusion,the model could better capture data features.At the same time,random attention mechanism was used to reduce the dependence on training data and make the model more generalization.The model was validated on NSL-KDD and UNSW-NB15 datasets.The experimental results show that the accuracy of the model on the two test sets is 99.49% and 98.60% respectively.…”
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Optimizing Mental Stress Detection via Heart Rate Variability Feature Selection by Mohsen Behradfar, Shotabdi Roy, Joseph Nuamah

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Flickers, Bursts, and Dips: Detecting Rapid Variability with the g(2) Autocorrelation Function by Brian C. Lacki

“…Rapid optical transient events can be hard to detect because of the limited number of photons they produce. …”
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Evidence for Variable Accretion onto PDS 70 c and Implications for Protoplanet Detections by Yifan Zhou, Brendan P. Bowler, Aniket Sanghi, Gabriel-Dominique Marleau, Shinsuke Takasao, Yuhiko Aoyama, Yasuhiro Hasegawa, Thanawuth Thanathibodee, Taichi Uyama, Jun Hashimoto, Kevin Wagner, Nuria Calvet, Dorian Demars, Ya-Lin Wu, Lauren I. Biddle, Sebastiaan Y. Haffert, Marta L. Bryan

“…We quantify the impact of variability on the detectability of protoplanets in imaging surveys and emphasize the need for continued and regular monitoring to accurately assess the occurrence and characteristics of young, forming planets.…”
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SVHAE: Spectral Variability-Aware Hybrid Autoencoder for Hyperspectral Underwater Target Detection by Suresh Aala, Sravan Kumar Sikhakolli, Sunil Chinnadurai, Anuj Deshpande, Karthikeyan Elumalai, Md. Abdul Latif Sarker, Hala Mostafa

“…Conventional methods often struggle with spectral variability, complicating detection accuracy. This paper introduces spectral variability-aware hybrid autoencoder (SVHAE) for HUTD, a novel autoencoder-based unmixing network incorporating parallel linear and nonlinear decoders to improve underwater target detection. …”
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