Many-to-Many Multicast Routing Schemes under a Fixed Topology by Wei Ding, Hongfa Wang, Xuerui Wei

“…Many-to-many multicast routing can be extensively applied in computer or communication networks supporting various continuous multimedia applications. …”
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AI-based prediction of academic success: Support for many, disadvantage for some? by Lisa Herrmann, Jonas Weigert

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Algorithmic indexing in MEDLINE frequently overlooks important concepts and may compromise literature search results by Alexandre Amar-Zifkin, Taline Ekmekjian, Virginie Paquet, Tara Landry

“…As a consequence, relevant publications may be omitted from search results and irrelevant ones may be retrieved. …”
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A gradient-descent-like learning-based framework in surrogate-assisted evolutionary algorithms for expensive many-objective optimization by Chaoyi Sun, Bo Zhang, Hai Sun, Rui Feng

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A Novel Approach to Many-to-Many User Authentication in Different Information Systems by Vitaly Petrov, Maria Komar, Yevgeny Koucheryavy

“…In this paper, we propose a novel approach to many-to-many user authentication in heterogeneous information systems. …”
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How Many People Live in Politically Partisan Online News Echo Chambers in Different Countries? by Richard Fletcher, Craig T. Robertson, Rasmus Kleis Nielsen

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A Gradient-Based Interior-Point Method to Solve the Many-to-Many Assignment Problems by Nitish Das, P. Aruna Priya

“…The many-to-many assignment problem (MMAP) is a recent topic of study in the field of combinatorial optimization. …”
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Optimal Scheduling of Electric Vehicle Integrated Energy Station Using a Novel Many-Objective Stochastic Competitive Optimization Algorithm by Bangli Yin, Xiang Liao, Beibei Qian, Jun Ma, Runjie Lei

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Many-objective Optimization Design of a 2PRU-PRUR Parallel Mechanism Without Parasitic Motion by Che Linxian, Peng Siyang, Huang Xin, He Bing, He Xiaohui, Ao Jin

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Many-Objective Cheetah Optimizer: A Novel Paradigm for Solving Complex Engineering Problems by Pinank Patel, Divya Adalja, Nikunj Mashru, Pradeep Jangir, Arpita, Reena Jangid, G. Gulothungan, Ahmad O. Hourani, Kaznah Alshammari

“…Optimization approaches currently face limitations when trying to balance exploration and exploitation especially when resources become limited. MaOCO represents the Many-Objective Cheetah Optimization Algorithm which draws its concepts from the hunting behavior of cheetahs. …”
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APPLICATION OF MACHINE LEARNING ALGORITHMS TO EVALUATE THE UCI DATABASE IN THE CLASSIFICATION OF AUTISM SPECTRUM DISORDERS by Phạm Quang Thuận, Nguyễn Đình Thuân

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Research on Multi-Objective Evolutionary Algorithms Based on Large-Scale Decision Variable Analysis by Jianing Li, Sijia Xu, Jiaming Zheng, Guoqing Jiang, Weichao Ding

“…Large-scale high-dimensional many-objective optimization problems (LaMaOPs) are prevalent in fields such as autonomous driving, cloud resource scheduling, and smart grids. …”
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Analysis of thermoelastic stresses in filament wound composite pressure vessels using evolutionary deep learning and many-objective optimisation by Dominik Vondráček, Zdeněk Padovec, Tomáš Mareš, Nirupam Chakraborti

“…Knowing the critical places of the pressure vessel may improve the designer’s decision during the development and design process.…”
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Modular quantum signal processing in many variables by Zane M. Rossi, Jack L. Ceroni, Isaac L. Chuang

“…Consequently, as many quantum algorithms have been unified with the advent of quantum signal processing (QSP) and quantum singular value transformation (QSVT), an opportunity has appeared to cast these algorithms as modules that can be combined to constitute complex programs. …”
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A new stochastic multi-objective model for the optimal management of a PV/wind integrated energy system with demand response, P2G, and energy storage devices by Hossein Faramarzi, Navid Ghaffarzadeh, Farhad Shahnia

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Efficient Reasoning upon Fusion of Many Data Sources by Chase Alexander Yakaboski, Eugene Santos

“…With this algorithm, we show how reasoning complexity upon fusion of many sources can be significantly reduced while maintaining the underlying probability semantics of all sources. …”
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Many-body computing on Field Programmable Gate Arrays by Songtai Lv, Yang Liang, Yuchen Meng, Xiaochen Yao, Jincheng Xu, Yang Liu, Qibin Zheng, Haiyuan Zou

“…Here we leverage the capabilities of Field Programmable Gate Arrays for conducting quantum many-body calculations and realize a tenfold speedup over Central Processing Unit-based computation for a Monte Carlo algorithm. …”
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The advantage of quantum control in many-body Hamiltonian learning by Alicja Dutkiewicz, Thomas E. O'Brien, Thomas Schuster

“…With continuous quantum control, we provide an adaptive algorithm for learning a many-body Hamiltonian at the Heisenberg limit: $T = \mathcal{O}(\epsilon^{-1})$, where $T$ is the total amount of time evolution across all experiments and $\epsilon$ is the target precision. …”
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High sensitivity of HIV antibody screening tests may lead to longer time to diagnosis: a Case Report by Yuanfang Wang, Lan Luo, Jielun Deng, Xiaohan Li, Yi Xie, Dongdong Li

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Effective temperature in approximate quantum many-body states by Yu-Qin Chen, Shi-Xin Zhang

“…This study focuses on the spectral decomposition of these approximate quantum many-body states into exact eigenstates of the target Hamiltonian, which reflects the intricate physics at the interplay between quantum systems and numerical algorithms. …”
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