Using a 3D Chaotic Dynamic System as a Random Key Generator for Image Steganography by Mohammed Abod Husain, Saad Al-Momen

“…Furthermore, an algorithm is suggested to generate a random binary key, serving as the controller for the embedding process. …”
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Heavy Tailed Distribution of Binary Classification Model by Damilare Oladimeji, Emmanuel Oguntade, Samuel Olanrewaju

“…The proposed research incorporates the utilization of a heavy-tailed skewed distribution referred to as the inverse Weibull as a link function in the context of a binary classification model. This selection is motivated by the need to address the existence of rare or extreme events in random processes. …”
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Quasars Can Signpost Supermassive Black Hole Binaries by J. Andrew Casey-Clyde, Chiara M. F. Mingarelli, Jenny E. Greene, Andy D. Goulding, Siyuan Chen, Jonathan R. Trump

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Patient, Physician, and Assessor Blinding in Phase III Randomized Trials in Oncology: A Meta‐Epidemiological Analysis by Gabrielle Brown, Pavlos Msaouel, Avital M. Miller, Ramez Kouzy, Timothy A. Lin, Joseph Abi Jaoude, Ethan B. Ludmir, Alexander D. Sherry

“…ABSTRACT Background Blinding mitigates bias in randomized trials and may be especially crucial for surrogate endpoints, such as progression‐free survival (PFS). …”
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Using binary classification to evaluate the quality of machine translators by Ran Li, Yihao Yang, Kelin Shen, Mohammad Hijji

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Optimal Coherence Length Control in Interferometric Fiber Optic Hydrophones via PRBS Modulation: Theory and Experiment by Wujie Wang, Qihao Hu, Lina Ma, Fan Shang, Hongze Leng, Junqiang Song

“…In this study, we propose a pseudo-random binary sequence (PRBS) phase modulation method for laser coherence length control, establishing the first theoretical model that quantitatively links PRBS parameter to coherence length, elucidating the mechanism underlying its suppression of parasitic interference noise. …”
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Fundamental Parameters for Totally Eclipsing Contact Binaries Observed by TESS by Xu Ding, KaiFan Ji, ZhiMing Song, XueFen Tian, JinLiang Wang, ChuanJun Wang, QiYuan Cheng, JianPing Xiong

“…Our analysis identified 96 targets with mass ratios below 0.25, all of which were not listed in any previous catalog, thus signifying the discovery of new LMR system candidates. Assuming all 143 binary systems are affected by a third light during parameter estimation, we train a neural network (NN _l _3 ) model considering the third light. …”
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Applying binary mixed model to predict knee osteoarthritis pain. by Helal El-Zaatari, Liubov Arbeeva, Amanda E Nelson

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Short Paper - The Binary Linearization Complexity of Pseudo-Boolean Functions by Walter, Matthias

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Magnetic activities of two contact binaries in quadruple stellar systems by Yuangui Yang, Shuang Wang

“…Given the third light of $$\ell _3\sim 4.0\%$$ for HT Vir, we estimate the mass of the third body to be $$M_3=0.66(2)~\textrm{M}_{\odot }$$ . …”
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Distance-based target tracking algorithm in binary sensor network by SUN Xiao-yan1, LI Jian-dong1, HUANG Peng-yu1, ZHANG Wen-zhu1

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A Novel Tree-Based Combined Test for Seasonality by Karsten Webel, Daniel Ollech

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Integrated Imager and 3.22 <italic>&#x03BC;</italic>s/Kernel-Latency All-Digital In-Imager Global-Parallel Binary Convolutional Neural Network Accelerator for Image Processing by Ruizhi Wang, Cheng-Hsuan Wu, Makoto Takamiya

“…This new approach employs a global-parallel processing concept, which enables multiply-and-accumulate operations (MACs) to be executed simultaneously within the imager array in a 2D manner, eliminating the additional latency associated with row-by-row processing and data access from random access memories (RAMs). In this design, convolution and subsampling operations using a <inline-formula> <tex-math notation="LaTeX">$3\times $ </tex-math></inline-formula> 3 kernel are completed within just nine steps of global-parallel processing, regardless of image size. …”
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Chaotic Binary Firefly Spectrum Allocation Strategy Based on Logistic Mapping by TENG Zhi-jun, ZHANG Hua, ZHANG Ai-ling, HAN Zhong-ting, ZHANG Heng-jia

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Efficient Phase Retrieval via Improved Binary Amplitude Modulation Masks by Chao Yang, Cheng Xu, Hui Pang, Jun Lan, Lixin Zhao, Song Hu, Wei Yan, Xianchang Zhu

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Simple definition of error probability at binary signaling over generalized channels by V. P. Tuzlukov

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Cleaning images from impulse noise in a binary symmetrical channel by A. R. Orazaev

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Dissimilarity measures based on the application of Hamming distance to generate controlled probabilistic tests by V. N. Yarmolik, V. V. Petrovskaya, N. A. Shevchenko

“…Accordingly, the computational complexity for all three options is comparable and does not exceed 3n comparison operations. …”
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Machine Learning Predictors for Min-Entropy Estimation by Javier Blanco-Romero, Vicente Lorenzo, Florina Almenares Mendoza, Daniel Díaz-Sánchez

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Deep hybrid architecture with stacked ensemble learning for binary classification of retinal disease by Priyadharsini C, Asnath Victy Phamila Y

“…Conclusion: This is the first work to experiment with 144 combinations to identify suitable deep architecture for binary retinal disease classification. The study recommends Xception for feature extraction ensembled with ExtraTreeClassifier, Light gradient boosting machine, Random Forest, AdaBoost classifiers, and meta-learner as Logistic Regression. …”
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