Modeling Cost-Estimation Factors for Public Building Projects with Hybrid Approach in Addis Ababa by Behailu Temesgen Habe, Lucy Feleke Nigussie, Mamaru Dessalegn Belay

“…The suggested hybrid approach is based on the Akaike information criterion (AIC) and principal component regression (PCR) employed, coupling a stepwise linear regression model. According to the findings of the study, principal component analysis reduced important factors to 14 and efficiently solved the problem of multicollinearity with a variance inflation factor of less than 2, while stepwise cross-validation solved the overfitting problem at the lowest AIC. …”
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An Optimization Framework for Allocating and Scheduling Multiple Tasks of Multiple Logistics Robots by Byoungho Choi, Minkyu Kim, Heungseob Kim

“…The fourth step uses a mixed integer linear programming (MILP) model to allocate clusters to robots while minimizing the overall makespan. …”
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Advancing Credit Rating Prediction: The Role of Machine Learning in Corporate Credit Rating Assessment by Nazário Augusto de Oliveira, Leonardo Fernando Cruz Basso

“…Results indicate that Artificial Neural Networks (ANN) and GB consistently outperform traditional models, particularly in capturing non-linear relationships and complex interactions among predictive factors. …”
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Inverse Stochastic Resonance in Cerebellar Purkinje Cells. by Anatoly Buchin, Sarah Rieubland, Michael Häusser, Boris S Gutkin, Arnd Roth

“…ISR allows the Purkinje cell to operate in different functional regimes: the all-or-none toggle or the linear filter mode, depending on the variance of the synaptic input. …”
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Multiobjective Parallel Algorithms for Solving Biobjective Open Shop Scheduling Problem by Seyed Hassan Shams Lahroudi, Farzaneh Mahalleh, Seyedsaeid Mirkamali

“…To solve small-scale problems, we adapt a mathematical model called Multiobjective Mixed Linear Programming (MOMILP). To solve large-scale problems, two metaheuristic algorithms including Multiobjective Parallel Genetic Algorithm (MOPGA) and Multiobjective Parallel Simulated Annealing (MOPSA) are adapted. …”
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Differential quadrature free vibration analysis of sandwich plates with curvilinear fiber variable stiffness composite face sheets by Zhenyu Zhou

“…Key results demonstrate that optimizing the fiber path can enhance the fundamental frequency of VSCL sandwich plates by up to 32.7% (CFFF boundary), providing an efficient design tool for vibration control of aerospace lightweight structures.…”
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TRANSIT your events into a new mass: fast background interpolation for weakly-supervised anomaly searches by I. Oleksiyuk, S. Voloshynovskiy, T. Golling

“…The model captures non-linear mass correlations of features and produces a template that offers a competitive anomaly sensitivity compared to state-of-the-art transport-based template generators. …”
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A Long-Tail Fault Diagnosis Method Based on a Coupled Time–Frequency Attention Transformer by Li Zhang, Ying Zhang, Hao Luo, Tongli Ren, Hongsheng Li

“…Furthermore, the model’s ability to fully learn features is enhanced through the linear coupling of time–frequency domain attention, which effectively mitigates noise interference and corrects imbalances in data distribution. …”
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A Generalized Method for Rightsizing the Design of a Hybrid Microgrid by Daniel Reich

“…Rather than providing a single solution, as is common in related works, the sizing method introduced in this paper efficiently identifies a wide range of microgrid design options that satisfy the stated power needs. …”
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Managing Risk Across Time: An Intertemporal Spectral Risk Measures Framework for Multi-Period Portfolio Optimization by Chengneng Jin, Jianjun Gao

“…We establish the theoretical convergence properties of our algorithm, demonstrating a q-linear convergence rate under mild conditions. Numerical experiments validate the effectiveness of our approach, showing that the intertemporal weighting scheme provides more consistent risk management across the investment horizon compared to terminal-focused strategies. …”
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Partial Disassembly and Consideration of Part Relationships in Multiproduct, Multiperiod Capacitated Disassembly Scheduling With Parts Commonality by Sajed Zare, Mohammad Bagher Fakhrzad, Hassan Khademi Zare, Hasan Hosseini-Nasab

“…This paper proposes a new mixed-integer linear programming (MILP) model to consider a multiproduct, multiperiod capacitated disassembly scheduling model with parts commonality and partial disassembly. …”
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Dynamic Pricing Models in E-Commerce: Exploring Machine Learning Techniques to Balance Profitability and Customer Satisfaction by Xiaochen Guo, Lei Zhang

“…Key findings include the superior predictive accuracy of LSTM-based models over traditional approaches like Linear Regression and Decision Trees, particularly in real-time data updates and price elasticity scenarios. …”
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A small serving of mash: (Quantum) algorithms for SPDH-Sign with small parameters by Mendelsohn Andrew, Dable-Heath Edmund, Ling Cong

“…We find an efficient method to solve the semidirect discrete logarithm problem (SDLP) over finite nonabelian groups of order p3{p}^{3} and exponent p2{p}^{2} for certain exponentially large parameters. …”
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An exploration of thermal characteristics of a permeable inclined moving inverted exponential fully wet magnetized stretching/shrinking fin by M. Siddalinga Prasad

“…The problem is modeled as a second-order non-linear ordinary differential equation, which is transformed into a non-dimensional equation, and using bvp4c of MATLAB, a numerical solution is obtained. …”
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Environmentally Friendly Nanoporous Polymeric Gels for Sustainable Wastewater Treatment by Tarek M. Madkour, Rasha E. Elsayed, Rasha A. Azzam

“…MB adsorption followed a Langmuir isotherm, while CR adsorption followed a linear isotherm. The results confirm that dye molecules initially undergo physisorption and subsequent dissociative adsorption. …”
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Enhancing Obstacle Avoidance in Dynamic Window Approach via Dynamic Obstacle Behavior Prediction by Bongsu Hahn

“…This modification allows the robot to more effectively anticipate its short-term position while simultaneously considering potential obstacle locations. In particular, a linear prediction model for dynamic obstacle behavior was introduced, which estimates the future positions of obstacles based on their current position, velocity, and heading direction. …”
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Dynamic Reliability Analysis of Flying Car Gear Transmission System by Tianyu Mao, Yong Yu, Huaiju Liu, Caichao Zhu, Genshen Liu

“…A gear strength degradation model is established based on the theory of non-linear fatigue cumulative damage，and the Copula function is used to describe the failure coupling correlation in the transmission system. …”
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Exploring Physics-Informed Neural Networks for the Generalized Nonlinear Sine-Gordon Equation by Alemayehu Tamirie Deresse, Tamirat Temesgen Dufera

“…In this paper, we propose a machine learning-based approach, physics-informed neural networks (PINNs), to investigate and explore the solution of the generalized non-linear sine-Gordon equation, encompassing Dirichlet and Neumann boundary conditions. …”
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Bit‐level evaluation of piccolo block cipher by satisfiability problem solver by Shion Utsumi, Kosei Sakamoto, Takanori Isobe

“…With advancements in computing capabilities and cryptanalysis techniques in recent years, more efficient methods have been proposed for exploring distinguishers using Mixed‐Integer Linear Programing (MILP) or satisfiability problem (SAT), thereby updating the security bounds of various ciphers. …”
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Evaluation of buffalo milk production in several states of Venezuela by Néstor Simón Montiel-Urdaneta, José Raúl Pérez-González

“… The buffalo is used as an efficient fodder converter in bovine production systems into milk and quality meat. …”
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