Image preprocessing to enhance phase correlation of featureless images by Joshua Lentz, Hakki Erhan Sevil, David Fries

“…When applied to featureless images, in applications such as cloud tracking, the phase correlation output is degraded by a prominent noise component, which is not predicted by the fundamental mathematical expression for phase correlation. …”
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Measuring high-speed train delay severity: Static and dynamic analysis. by Bing Li, Chao Wen, Shenglan Yang, Mingzhao Ma, Jie Cheng, Wenxin Li

“…This classification aids dispatchers in swiftly identifying and predicting delay extents, thus enhancing mitigation strategies' efficiency. …”
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Borromean supercounterfluids at finite temperatures by Alexandru Golic, Igor Timoshuk, Egor Babaev, Boris Svistunov

“…We formulate and study Borromean XY and loop statistical models, capturing the universal long-range properties and allowing us to perform efficient worm algorithm simulations. Numeric results demonstrate perfect agreement with analytic predictions. …”
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Regulation of replication timing in Saccharomyces cerevisiae. by Rosie Berners-Lee, Eamonn Gilmore, Francisco Berkemeier, Michael A Boemo

“…We also use the model to predict measures of DNA replication dynamics which are yet to be determined experimentally and investigate the potential impacts of variations in firing factor concentrations on DNA replication.…”
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Influence of Absorbing Material Distribution on Double Slope Sound Decay in L-Shaped Room by Mirosław MEISSNER

“…Two different material configurations were considered and their effects on a double slope sound decay were analysed. In order to predict the behaviour of decay curve, a numerical implementation based on the wave theory was applied. …”
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Intelligent Cyber-Attack Detection in IoT Networks Using IDAOA-Based Wrapper Feature Selection by Mohammed Abdullah, Ryna Svyd

“…The Bagging technique further strengthens the classification phase by combining predictions from multiple classifiers, effectively addressing issues of class imbalance and improving overall system robustness. …”
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Optimal sampling of tensor networks targeting wave function's fast decaying tails by Marco Ballarin, Pietro Silvi, Simone Montangero, Daniel Jaschke

“…We illustrate the computational advantage provided by our optimal sampling method through various numerical examples, involving condensed matter, optimization problems, and quantum circuit scenarios. Theory predicts up to an exponential speedup reducing the scaling for sampling the space up to an accumulated unknown probability $\epsilon$ from $\mathcal{O}(\epsilon^{-1})$ to $\mathcal{O}(\log(\epsilon^{-1}))$ for a decaying probability distribution. …”
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ATKB-PID: an adaptive control method for micro tension under complex hot rolling conditions by Xinkai Xu, Xiangrong Song, Zheng Qi

“…This method incorporates a linear attention layer and utilizes a K-Nearest Neighbors (KNN) algorithm to predict the optimal learning rate and inertia coefficient under actual operating conditions. …”
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Modern technologies for hiding people's faces using object tracking based on YOLOv5 and DeepSort by А. Щур, О. Польшакова

“…To achieve this goal, it is proposed to use a modern detector - the YOLO convolutional neural network and the DeepSORT object tracking algorithm, which uses classical approaches to filtering input data and predicting the position of an object in space, as well as a modern neural network capable of distinguishing between people's faces. …”
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Symmetrifying Smart Home by Sungyong Ahn

“…It describes a smart home as a topological continuum that could unfold lots of functional spaces—those optimized for a variety of predictable user behaviors and intentions, such as going to bed, working out, and energy-saving—according to how software applications redeploy its embedded sensors and actuators into certain algorithmic orders. …”
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A vibration signal processing method based on SE-PSO-VMD for ultrasonic machining by Honghuan Chen

“…The innovative SE-PSO-VMD method is validated in ultrasonic metal welding and demonstrates a notable ability in predicting the pull force of welding materials with a high coefficient of determination R2 value of 0.78.…”
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Examining peptide–gold nanoparticle interactions through explainable machine learning by Malak Gamal Abdelmeguid, Jose Isagani B. Janairo, Nishanth G. Chemmangattuvalappil

“…However, the need for interpretability in ML models is crucial, as it fosters deeper understanding about the underlying factors driving the predictions, thereby ensuring technical soundness and replicability. …”
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A Multi-Strategy Visual SLAM System for Motion Blur Handling in Indoor Dynamic Environments by Shuo Huai, Long Cao, Yang Zhou, Zhiyang Guo, Jingyao Gai

“…Specifically, to accurately distinguish moving objects and static objects, we introduce a missed segmentation compensation mechanism into our SLAM system for predicting and restoring semantic information, and depth and semantic information is then leveraged to generate masks of dynamic objects. …”
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The Principles of Examination of Patients with Detected Melanoma Suspected Skin Neoplasm in the Primary Health Care Stage by V. N. Larina, T. A. Gaydina, A. S. Dvornikov, K. E. Nazimkin

“…Attention is paid to modern clinical methods for predicting the course of skin melanoma. The review article examines computer-based methods for screening and diagnosing skin melanoma, applicable in primary health care settings. …”
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The Evolution of the Idiolect over the Lifetime: A Quantitative and Qualitative Study of French 19th Century Literature by Olga Seminck, Philippe Gambette, Dominique Legallois, Thierry Poibeau

“…After applying a feature selection algorithm, we examined the most important features, i.e. the motifs that have the greatest influence on idiolectal evolution. …”
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Analysis of Encrypted Network Traffic for Enhancing Cyber-security in Dynamic Environments by Faeiz Alserhani

“…Yet, it is equally important to predict and prevent any cyber-attacks that may compromise the integrity and security of the network infrastructure. …”
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The regulation of ant colony foraging activity without spatial information. by Balaji Prabhakar, Katherine N Dektar, Deborah M Gordon

“…Our simple stochastic model shows how the regulation of ant colony foraging can operate without spatial information, describing a process at the level of individual ants that predicts the overall foraging activity of the colony.…”
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Experiential space analysis: scoring tranquil, social, and explorative places in habitable buildings by Rhys Goldstein, Nastaran Shahmansouri, Jeremy P. M. Mogk, Sebastian Herrera, Dianne Gault, Frederik Brudy, Michael Lee, Liviu Calin, Tomas Lay Herrera, Dagmara Szkurlat, Kean Walmsley

“…We observe that human evaluators tend to assume relatively uniform experiential qualities within each space of each apartment, whereas our algorithm often predicts a gradient of highly tranquil, social, and explorative places even within the same room. …”
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Human Pose Estimation and Event Recognition via Feature Extraction and Neuro-Fuzzy Classifier by Muhammad Hanzla, Naif S. Alshammari, Shuaa S. Alharbi, Wasim Wahid, Nouf Abdullah Almujally, Ahmad Jalal, Hui Liu

“…Key point features are characterized through the degree of freedom, human landmark detection via the HSV algorithm, and angular point analysis using the media pipe algorithm. …”
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Detection of Apple Sucrose Concentration Based on Fluorescence Hyperspectral Image System and Machine Learning by Chunyi Zhan, Hongyi Mao, Rongsheng Fan, Tanggui He, Rui Qing, Wenliang Zhang, Yi Lin, Kunyu Li, Lei Wang, Tie’en Xia, Youli Wu, Zhiliang Kang

“…This study used FHIS combined with machine learning (ML) to predict SC at the apple’s equatorial position. Primary features were extracted using variable importance projection (VIP), the successive projection algorithm (SPA), and extreme gradient boosting (XGBoost). …”
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