Difference Measure for Controlled Random Tests by V. N. Yarmolik, V. V. Petrovskaya, M. A. Shauchenka

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Optically coupled bilayered disordered system for spatially controllable dual band random lasing and random number generation by Ashim Pramanik, Marco Reale, Laureline Roffi, Simonpietro Agnello, Marco Cannas, Partha Kumbhakar, Pathik Kumbhakar, Alice Sciortino, Fabrizio Messina

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Quantum proof biometric authentication framework using binary lattices and homomorphic encryption for secure cancelable templates by S. Aarthi, K. Geetha, N. Sasikaladevi

“…The proposed AEGIIS (Quantum-proof Biometric Authentication: A FramEwork UtilizinG BInary Lattices and HomomorphIc Encryption for Cancelable TemplateS) secures an individual’s biometric templates through efficient arithmetic operations on binary lattices and homomorphic encryption, utilizing random noise polynomials with uniform distribution. …”
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BBDetector: Intelligent border binary detection in IoT device firmware based on a multidimensional feature model. by Shudan Yue, Guimin Zhang, Qingbao Li, Wenbo Zhang, Xiaonan Li, Weihua Jiao

“…Additionally, BBDetector detected 3.25 times and 2.23 times more border binaries in Dataset II than did the state-of-the-art tools Karonte and SaTC, respectively. …”
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Comprehensive Feature-Driven PCOS Predictor: A Reinforcement Learning-Based Binary Equilibrium Optimization Approach by S. Reka, T. Suriya Praba, Krishna Kumar Manchala, Anna Venkateswarlu

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THE EXPLOITATION STATUS OF WORKING SCHOOL-AGE CHILDREN IN INDONESIA: A MULTILEVEL BINARY LOGISTIC REGRESSION ANALYSIS by Setiawan Ariansyah, Tiodora Hadumaon Siagian

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A correlation-based binary particle swarm optimization method for feature selection in human activity recognition by Huaijun Wang, Ruomeng Ke, Junhuai Li, Yang An, Kan Wang, Lei Yu

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Novel Hybrid Feature Selection Using Binary Portia Spider Optimization Algorithm and Fast mRMR by Bibhuprasad Sahu, Amrutanshu Panigrahi, Abhilash Pati, Manmath Nath Das, Prince Jain, Ghanashyam Sahoo, Haipeng Liu

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Inference in skew generalized t-link models for clustered binary outcome via a parameter-expanded EM algorithm. by Chénangnon Frédéric Tovissodé, Aliou Diop, Romain Glèlè Kakaï

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MbGWO-SFS: Modified Binary Grey Wolf Optimizer Based on Stochastic Fractal Search for Feature Selection by El-Sayed M. El-Kenawy, Marwa Metwally Eid, Mohamed Saber, Abdelhameed Ibrahim

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Digital Spectral Analysis by means of the Method of Averag Modified Periodograms Using Binary-Sign Stochastic Quantization of Signals by V. N. Yakimov

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Design of Controlled Random Tests with the Given Hamming Distance by V. N. Yarmolik, D. V. Demenkovets, V. A. Levantsevich, V. V. Petrovskaya

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A Comparison of Binary and Integer Encodings in Genetic Algorithms for the Maximum <i>k</i>-Coverage Problem with Various Genetic Operators by Yoon Choi, Jingeun Kim, Yourim Yoon

“…The performances of the GAs with various crossover and repair operators were also compared for each encoding type through experiments. In binary encoding, the combination of uniform crossover and random repair improved the average objective value by up to 3.24% compared to one-point crossover and random repair across the tested instances. …”
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Vapor-Liquid-Liquid Equilibrium of Methanol, Cyclohexane, and Hexane Systems at 0.1 MPa: Binary and Ternary Phase Behavior Analysis by Q.F. Gillani, P. Askar, A. Ospanova, M.A. Jamali, N. Nuraje

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A Novel Local Binary Patterns-Based Approach and Proposed CNN Model to Diagnose Breast Cancer by Analyzing Histopathology Images by Mehmet Gul

“…The histopathology images improved with the QS-LBP method were then analyzed with the most commonly used Random Forest and Optimized Forest algorithms among machine learning algorithms. …”
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Assessing non-inferiority for binary matched-pairs data with missing values: a powerful and flexible GEE approach based on the risk difference by Johannes Hengelbrock, Frank Konietschke, Juliane Herm, Heinrich Audebert, Annette Aigner

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Three-Phase Confusion Learning by Filippo Caleca, Simone Tibaldi, Elisa Ercolessi

“…Our construction relies on the use of a slightly different Neural Network: from a binary classifier, we move to a ternary one, which is more suitable to detect systems exhibiting three phases. …”
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Explainable AI for enhanced accuracy in malaria diagnosis using ensemble machine learning models by Olushina Olawale Awe, Peter Njoroge Mwangi, Samuel Kotva Goudoungou, Ruth Victoria Esho, Olanrewaju Samuel Oyejide

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Understanding overfitting in random forest for probability estimation: a visualization and simulation study by Lasai Barreñada, Paula Dhiman, Dirk Timmerman, Anne-Laure Boulesteix, Ben Van Calster

“…We aimed to understand the behavior of random forests for probability estimation by (1) visualizing data space in three real-world case studies and (2) a simulation study. …”
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Advantages of imperfect dice rolls over coin flips for random number generation by Douglas T. Pfeffer, Christopher R. Allemang, Shashank Misra, William Severa, J. Darby Smith

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