A Hybrid Optimization Approach for Improving Sensor Configuration to Enhance Nasogastric Tube (NGT) Localization During Insertion and Withdrawal by M. Souganttika, Shaohui Foong

“…To overcome this issue, we propose a novel approach that reduces the number of sensors needed while retaining accurate localization. By incorporating mathematical models of magnetic dipoles into a Genetic Algorithm (GA), our technology dynamically optimizes the sensor setup, lowering the system’s processing demands while maintaining accuracy. …”
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Bayesian Estimation of Resistance Factor for Bored Piles Based on Load Test Database by Zhijun Xu, Ranran Zhang, Liang Fan, Xing Han, Fang Yuan, Mingfang Du

“…This paper employs the Bayesian method and mathematical statistics theory to put forward an estimation method for updating in situ data. …”
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Modeling Campaign Optimization Strategies in Political Elections under Uncertainty by Christopher, Senfuka, Paul, Kizito Mubiru, Maureen, N. Ssempijja

“…In most political campaigns,the overall goal of every candidate is to maximize the number of voters during the election exercise.In such an effort,cost effective methods in choosing the optimal campaign strategy areparamount.In this paper, a mathematical model is proposed that optimize campaign strategies of a political candidate.Considering uncertainty in voter support and cost implications in holding political rallies,we formulate a finite state markov decision process model where states of a markov chain represent possible states of support among voters.Using daily equal intervals,thecandidates‟s decision of whether or not to campaign and hold a political rally at a given location were made using discrete time Markov chains and dynamic programming over a finite period planning horizon.Empirical data was collected from two locations on a daily basis during the campaign exercise.The data collected was analyzed and tested to establish the optimal campaign strategy and costs at the respective locations.Results from the study indicated the existence of an optimal state-dependent campaign strategy and costs at the respective political rally locations.…”
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Magnetohydrodynamic nanofluids flow and heat transfer with radiative heat flux and exothermic chemical reactions by Md. Mehedi Hasan, M.J. Uddin, Salah A. Faroughi

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The critical influence of some “tiny” geometrical details on the stress field in a Brazilian Disc with a central notch of finite width and length by Stavros K Kourkoulis, Christos Markides, Ermioni Pasiou, Andronikos Loukidis, Dimos Triantis

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Leveraging dynamics informed neural networks for predictive modeling of COVID-19 spread: a hybrid SEIRV-DNNs approach by Cheng Cheng, Elayaraja Aruchunan, Muhamad Hifzhudin Noor Aziz

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Underwater Incomplete Target Recognition Network via Generating Feature Module by Qi Shen, Jishen Jia, Lei Cai

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Gauge-Singlet Vector-Like Fermion Dark Matter, LHC Diphoton Rate, and Direct Detection by Shrihari Gopalakrishna, Tuhin Subhra Mukherjee

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The Exact Distribution of the Condition Number of Complex Random Matrices by Lin Shi, Taibin Gan, Hong Zhu, Xianming Gu

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Various Half-Eigenvalues of Scalar p-Laplacian with Indefinite Integrable Weights by Wei Li, Ping Yan

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Spherical branes and the BMN matrix quantum mechanics by Nikolay Bobev, Pieter Bomans, Friðrik Freyr Gautason

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High Scale Type-II Seesaw, Dominant Double Beta Decay within Cosmological Bound and LFV Decays in SU(‎5) by M. K. Parida, Rajesh Satpathy

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Generalization of I.Vekua's integral representations of holomorphic functions and their application to the Riemann–Hilbert–Poincaré problem by Vakhtang Kokilashvili, Vakhtang Paatashvili

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Gauging the diamond: integrable coset models from twistor space by Lewis T. Cole, Ryan A. Cullinan, Ben Hoare, Joaquin Liniado, Daniel C. Thompson

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Encapsulation structure and dynamics in hypergraphs by Timothy LaRock, Renaud Lambiotte

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Empirical Mode Decomposition Combined with Local Linear Quantile Regression for Automatic Boundary Correction by Abobaker M. Jaber, Mohd Tahir Ismail, Alssaidi M. Altaher

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Economic TEHES-Tube Material Evaluation by Absorbability Index under O-S-Dimensions for Minimizing Global Warming and Air Pollution by Exploring Dominance Theory: Green Management... by M. Prabhu, Sri Yogi Kottala, A. Anbazhagan, Anoop Kumar Sahu

“…On literature survey, a few research documents are found by authors, which focused on mathematical modelling of either O- (objective-) or S- (subjective-) dimensions of composite TEHES tube material evaluation models for computing EAI. …”
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Response surface methodology and adaptive neuro-fuzzy inference system for adsorption of reactive orange 16 by hydrochar by J. Oliver Paul Nayagam, K. Prasanna

“…Statistical and residual errors assessed experimental and mathematical model correctness. Experimental data matched the adaptive neuro-fuzzy inference system results. …”
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Three-dimensional linkage analysis with digital PCR for genome integrity and identity of recombinant adeno-associated virus by Tam Duong, Michele Firmo, Chien-Ting Li, Bingnan Gu, Peng Wang

“…In this study, we focus on evaluating our 3D linkage mathematical model by performing DNA mixing experiments and a case study using multiple rAAV samples. …”
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The university brand as a factor in attracting applicants by I. I. Cherkasova, V. V. Cherkasov, A. V. Cherkasov

“…The development of the brand personality model of Russian universities was carried out on the basis of mathematical and statistical methods.Results. The effectiveness of the developed model for assessing the brand personality of Russian universities, which can be used to attract applicants, has been proved using the meth­ods of mathematical statistics. …”
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