An Empirically Validated Framework for Automated and Personalized Residential Energy-Management Integrating Large Language Models and the Internet of Energy by Vinícius Pereira Gonçalves, Andre Luiz Marques Serrano, Gabriel Arquelau Pimenta Rodrigues, Matheus Noschang de Oliveira, Rodolfo Ipolito Meneguette, Guilherme Dantas Bispo, Maria Gabriela Mendonça Peixoto, Geraldo Pereira Rocha Filho

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How Gait Nonlinearities in Individuals Without Known Pathology Describe Metabolic Cost During Walking Using Artificial Neural Network and Multiple Linear Regression by Arash Mohammadzadeh Gonabadi, Farahnaz Fallahtafti, Judith M. Burnfield

“…This study uses Artificial Neural Networks (ANNs) and multiple linear regression (MLR) models to explore the relationship between gait dynamics and the metabolic cost. …”
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Quantitative Assessment of Photoneutron-induced Secondary Radiation Dose in Prostate Treatment Using an 18 MV Medical Linear Accelerator: A Monte Carlo Study by Mustapha Assalmi, Abdullah Alshreef, EL Yamani Diaf, Assia Arectout, Nicholas Ade, El Hassan El Berhdadi

“…Purpose: This study aims to quantify the secondary radiation dose caused by photoneutrons during prostate cancer treatment using an 18 MV medical linear accelerator (LINAC) through Monte Carlo simulations and experimental validation. …”
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Can Correct and Incorrect Worked Examples Supersede Worked Examples and Problem-Solving on Learning Linear Equations? An Examination from Cognitive Load and Motivation Perspectives by Bing Hiong Ngu, Ouhao Chen, Huy P. Phan, Hasbee Usop, Philip Nuli Anding

“…From the perspective of cognitive load theory, we examined the relationship between instructional efficiency (correct and incorrect worked examples [CICWEs] vs. worked examples [WEs] vs. problem-solving [PS]), levels of expertise (low vs. high), and belief in achievement best (realistic vs. optimal) in learning linear equations across two experiments (<i>N</i> = 43 vs. …”
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2.5 kW Narrow Linewidth Linearly Polarized All-Fiber MOPA With Cascaded Phase-Modulation to Suppress SBS Induced Self-Pulsing by Yanshan Wang, Yujun Feng, Yi Ma, Zhe Chang, Wanjing Peng, Yinhong Sun, Qingsong Gao, Rihong Zhu, Chun Tang

“…Finally, a 32 GHz cascaded WNSs modulated, over than 2.5 kW linearly polarized all-fiber amplifier with a slope efficiency of 86.7&#x0025; is demonstrated. …”
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SERIES COMPENSATION OF REACTIVE POWER IN A LOW-VOLTAGE CIRCUIT OF THE ELECTRIC ARC FURNACE by N. P. Badalyan, G. P. Kolesnik, S. G. Solovyova, Ye. A. Chaschin

“…According to the aim of the research, the relevant tasks of determining the capacitor capacity for reactive power compensation and selecting a rational location for its installation are posed.Methods Within the framework of the previously developed concept of changing the parameters of the switching transformer in the series compensation circuit, issues of efficient use and consumption of electrical energy by a high power linear load under sinusoidal mode are considered. …”
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Strategies for regulating energy storage characteristics of relaxor ferroelectric films by WU Qiong, DONG Shuxiang

“…Currently, the recoverable energy density in the relaxor ferroelectric films has exceeded 100 J/cm3, and their charge-discharge efficiencies are higher than 90%. Furthermore, these films demonstrate high breakdown strength and exceptional fatigue resistance, suggesting the preliminary formation of practical value. …”
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System Modeling to Optimize the Production Quantity of Men's and Women's Jackets and Achieve Maximum Profit: A Case Study at Konveksi ABC Cikarang Using Linear Programming by Wisnu Aji

“…These findings demonstrate that mathematical optimization can serve as an effective decision-support tool for improving production planning and efficiency in resource-constrained environments.…”
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Codimension-one bifurcations, 0 − 1 chaos test and local behavior at fixed points of a discrete ratio-dependent predator-prey model with linear harvesting by Muhammad Rameez Raja, Abdul Qadeer Khan, J.G. AL-Juaid, Md. Rifat Hasan

“…In this paper, we investigate codimension-one bifurcations, the 0-1 chaos test, and the local behavior at fixed points of a discrete ratio-dependent predator-prey model with linear harvesting. We begin by identifying the existence of boundary and interior fixed points under specific parametric conditions, and analyze their local stability using the linear stability theory. …”
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Energy consumption evaluation of soil tillage operation using non-linear multibody tractor and plough models implemented in real-time simulator for different soils and speeds by Michele Vignati, Federico Cheli, Federico Biraghi, Marco E. Pezzola, Claudio Maroni

“…The model is used to perform a sensitivity analysis on ploughing parameters, including tractor speed, soil hardness, ploughing depth, and the number of furrows, to evaluate their impact on energy consumption and operational efficiency. In literature each component (tractor, plough, soil, etc.) is generally analyzed separately form the other; this paper aims to combine all the key factors that contribute to overall fuel consumption instead, considering the non-linearities of each subsystem. …”
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A novel approach for simulating and optimizing the production costing system by Mohamed O. Hegazi

“…The versatility and efficiency of the linear programming model, particularly in handling large datasets and linear relationships, make it a powerful tool in various sectors.…”
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A new iterative multi-step method for solving nonlinear equation by Muhammad Usman, Javed Iqbal, Alamgir Khan, Ikram Ullah, Hasib Khan, Jehad Alzabut, Hisham Mohammad Alkhawar

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Oat yield through panicle components and growth regulator by Anderson Marolli, José A. G. da Silva, Rubia D. Mantai, Ana P. Brezolin, Maria E. Gzergorczick, Darlei M. Lambrecht

“…The grain weight per panicle and panicle harvest index are potential variables to compose the multiple linear regression model. Multiple linear regression equations are efficient in the simulation of oat grain yield under the conditions of use of growth regulator, regardless of the N-fertilizer dose.…”
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An application of modified systematic sampling in auto-correlated populations

“…This study explores the efficiency of modified systematic sampling (MSS) in the context of auto-correlated populations. …”
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Driving behavior recognition and prediction based on Bayesian model by Xinsheng WANG, Zhen BIAN

“…Since the existing intelligent driving systems are lack of efficiency and accuracy when processing huge number of driving data,a brand new approach of processing driving data was developed to identify and predicate human driving behavior based on Bayesian model.The approach was proposed to take two steps to deduce the specific driving behavior from driving data correspondingly without any supervision,the first step being using Bayesian model segmentation algorithm to divide driving data that inertial sensor collected into near-linear segments with the help of Bayesian model segmentation algorithm,and the second step being using extended LDA model to aggregate those linear segments into specific driving behavior (such as braking,turning,acceleration and coasting).Both offline and online experiments are conducted to verify this approach and it turns out that approach has higher efficiency and recognition accuracy when dealing with numerous driving data.…”
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An algorithm for distributed parameter estimation in modal regression models by Xuejun Ma, Xiaochao Xia

“…Differing from the existing methods regarding distributed modal regression, the proposed method combines the divide-and-conquer idea and a linear approximation algorithm. It is computationally fast and statistically efficient to implement. …”
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Revocable and traceable key-policy attribute-based encryption scheme by Fang QI, Yanmei LI, Zhe TANG

“…The existing key-policy attribute-based encryption (KP-ABE) scheme can not balance the problem of attribute revocation and user identity tracking.Hence,a KP-ABE scheme which supported revocable and traceable was proposed.The scheme could revoke the user attributes without updating the system public key and user private key with a less update cost.Meanwhile,it could trace the user identity based on decryption key which could effectively prevent anonymous user key leakage problem.The proposed scheme was based on linear secret sharing scheme (LSSS),which was more efficient than tree-based access structure.Based on the deterministic q-BDHE hypothesis,the proposed scheme gave security proof until standard mode.Finally,compared with the existing KP-ABE scheme,the scheme has a shorter public key length,lower computational overhead and realizes the traceability function of user identity based on the revocable attribute,which has obvious advantages.…”
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Locality-Preserving Multiprojection Discriminant Analysis by Jiajun Ma

“…Linear discriminant analysis (LDA), as an effective feature extraction method, has been widely applied in high-dimensional data analysis. …”
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Algorithm of Assessing Dynamic Correlation between Time Series Connected by TVP-Regression Model by N. A. Moiseev, G. V. Aivazian

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Artificial neural networks for predicting first-lactation 305-day milk yield in crossbred cattle by SM Usman, A Kumar, A Sherasiya, IM Youssef, MM Abo Ghanima, J Chandrakar, R Tiwari, NP Singh, QS Sahib, T Dutt, AA Swelum

“… This study was conducted using the first-lactation records of 1092 Vrindavani crossbred cattle to compare the relative efficiency of an artificial neural network (ANN) versus multiple linear regression for predicting the first-lactation 305-day milk yield (FL305DMY). …”
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