An Algorithm to Construct a Tridiagonal Matrix Factored by Bidiagonal Matrices with Prescribed Eigenvalues and Specified Entries by Koichi Kondo

“…Using techniques from discrete soliton theory, we derive recurrence relations that connect matrix entries and eigenvalues. The algorithm systematically computes unknown entries in the matrix from given spectrum data and partial matrix information. …”
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Application of quantum-inspired evolutionary algorithm in the analysis of near infrared diffuse transmission spectroscopy of apples by LI Jun-liang, WANG Cong-qing

“…To study the application of quantum-inspired evolutionary algorithm (QEA) in the analysis of near infrared (NIR) diffuse transmission spectroscopy of apples, first, spectroscopy regions were preselected by using the backward interval partial least squares (BiPLS). …”
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A mathematical PAPR estimation of OTFS network using a machine learning SVM algorithm by Arun Kumar, Nishant Gaur, Aziz Nanthaamornphong

“…The article presents a Support Vector Machine (SVM) algorithm to lower the peak-to-average power ratio (PAPR) in networks that work in orthogonal time frequency space (OTFS). …”
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Green digital leadership and algorithmic management for sustainable supply chains: A serial mediation model by Mahmoud Abdulhadi Alabdali, Muhammad Zafar Yaqub, Josef Windsperger

“…We examine the serial mediation roles of algorithmic management (ALGM) and green digital absorptive capacity (G-DAC) in these relationships. …”
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Using Genetic Algorithms for Hardware Core Placement and Mapping in NoC-Based Reconfigurable Systems by Jonas Gomes Filho, Marius Strum, Wang Jiang Chau

“…Mapping of cores has been an important activity in NoC-based system design aimed to find the best topological location onto the NoC, such that the metrics of interest can be greatly optimized. In the last years, partial reconfigurable systems (PRSs) have included Networks-on-Chips (NoCs) as their communication structure, adding complexity to the problem of mapping. …”
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Improved Algorithm for Vehicle Bottom Safety Detection Based on YOLOv8n: PSP-YOLO by Di Zhao, Yulin Cheng, Sizhe Mao

“…To address these issues and improve the real-time performance of under-vehicle safety inspection, the YOLOv8n object-detection algorithm was enhanced, resulting in the PSP-YOLO algorithm. …”
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A Head-Driven Algorithm for Estimating Upper and Lower Body Motion in Virtual Reality Environments by Jemin Lee, Jeonghyeon Kim, Youngwon Kim

“…This study proposes a novel algorithm for effectively estimating partial upper and lower body movements in a Virtual Reality (VR) environment using only head movements and synchronized head rotation axes, without the need for additional hardware. …”
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Disease Detection Algorithm for Tea Health Protection Based on Improved Real-Time Detection Transformer by Zhijie Lin, Zilong Zhu, Lingling Guo, Jingjing Chen, Jiyi Wu

“…These findings indicate that the proposed algorithm is well-suited for efficient, real-time, and lightweight agricultural disease detection.…”
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Energy Management Design of Dual-Motor System for Electric Vehicles Using Whale Optimization Algorithm by Chien-Hsun Wu, Chieh-Lin Tsai, Jie-Ming Yang

“…In addition to increased energy efficiency, a dual-motor system provides redundancy: if one motor fails, the other can still supply partial power, further enhancing driving safety. This study aimed to optimize the energy management strategies of the front- and rear-axis motors, examining the application effects of rule-based control (RBC), global grid search (GGS), and the whale optimization algorithm (WOA). …”
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Improvement of SAM2 Algorithm Based on Kalman Filtering for Long-Term Video Object Segmentation by Jun Yin, Fei Wu, Hao Su, Peng Huang, Yuetong Qixuan

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ANN and RF Optimized by Hunter–Prey Algorithm for Predicting Post-Blast RC Column Morphology by Kai Rong, Yongsheng Jia, Yingkang Yao, Jinshan Sun, Qi Yu, Hongliang Tang, Jun Yang, Xianqi Xie

“…Sensitivity analysis reveals that the yield strength of longitudinal reinforcement has the most significant impact, while the shear reinforcement ratio has the least influence on both output variables. The partial dependence plot (PDP) analysis indicates that the ratio of shear reinforcement has the most significant impact on the deformation of longitudinal reinforcement.…”
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Rapid screening of fumonisins in maize using near-infrared spectroscopy (NIRS) and machine learning algorithms by Bruna Carbas, Pedro Sampaio, Sílvia Cruz Barros, Andreia Freitas, Ana Sanches Silva, Carla Brites

“…This study evaluates the potential of near-infrared (NIR) spectroscopy combined with chemometric algorithms to detect fumonisins in maize. For fumonisin B1 (FB1) and B2 (FB2) levels were developed predictive NIR models using partial least squares (PLS) and artificial neural networks (ANN). …”
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Feasibility study for the partial conversion of a hydropower plant into a pumped-storage power plant: a case study of hydroelectric power plant La Barca (Asturias, Spain) by E. Antuña Yudego, E. Álvarez Álvarez

“…The present paper shows a simplified feasibility study of the partial conversion of hydropower plant La Barca, in Asturias, into a reversible storage through the development of an algorithm to simulate its operation according to electricity market prices. …”
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Security-Reliability Analysis of NOMA-Assisted Hybrid Satellite-Terrestrial Relay Multi-Cast Transmission Networks Using Fountain Codes and Partial Relay Selection with Presence of... by Toan Van Nguyen, Trung Duy Tran, Ngoc Son Pham, Viet Tuan Pham, Lam Thanh Tu

“…This article proposes a hybrid satellite-terrestrial relaying network (HSTRN) that integrates physical-layer security (PLS), Fountain codes (FCs), non-orthogonal multiple access (NOMA), and partial relay selection (PRS) to enhance system performance in terms of reliability, data rate, and security. …”
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Numerical modeling of fracture processes of bodies with stress concentrators under conditions of proportional loading, taking into consideration the statistical distribution of ult... by Eugeniia Feklistova, Artur Mugatarov, Valeriy Wildemann

“…The methodology of numerical modeling of deformation and fracture processes is improved to take into account the partial loss of load bearing capacity and the appearance of local anisotropy. …”
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A genomic strategy for precision medicine in rare diseases: integrating customized algorithms into clinical practice by Cristina Méndez-Vidal, Nereida Bravo-Gil, Javier Pérez-Florido, Irene Marcos-Luque, Raquel M. Fernández, José Luis Fernández-Rueda, María González-del Pozo, Marta Martín-Sánchez, Elena Fernández-Suárez, Marcela Mena, Rosario Carmona, Joaquín Dopazo, Salud Borrego, Guillermo Antiñolo

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Numerical modeling of fracture processes of bodies with stress concentrators under conditions of proportional loading, taking into consideration the statistical distribution of ult... by Eugeniia Feklistova, Artur Mugatarov, Valeriy Wildemann

“…The methodology of numerical modeling of deformation and fracture processes is improved to take into account the partial loss of load bearing capacity and the appearance of local anisotropy. …”
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A Multi-Agent Centralized Strategy Gradient Reinforcement Learning Algorithm Based on State Transition by Lei Sheng, Honghui Chen, Xiliang Chen

“…Addressing the need for the balanced exploration and exploitation of multi-agent ant robots within a partially observable continuous action space, this study introduces a multi-agent centralized strategy gradient algorithm grounded in a local state transition mechanism. …”
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Gradient vs. Non-Gradient-Based Model Free Control Algorithms: Analysis and Applications to Nonlinear Systems by Andrei Baciu, Corneliu Lazar

“…This title is assumed by two types of algorithms, which contain it in the name. One is the gradient-based algorithm, Model Free Adaptive Control, defined by Hou, which uses the concept of dynamic linearization through pseudo partial derivatives (PPD) and pseudo gradient (PG). …”
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A Lightweight Citrus Ripeness Detection Algorithm Based on Visual Saliency Priors and Improved RT-DETR by Yutong Huang, Xianyao Wang, Xinyao Liu, Liping Cai, Xuefei Feng, Xiaoyan Chen

“…To reduce computational overhead, we designed the E-CSPPC module, which efficiently combines cross-stage partial networks with gated and partial convolutions, combined with cascaded group attention (CGA) and inverted residual mobile block (iRMB), which minimizes model complexity and computational demand and simultaneously strengthens the model’s capacity for feature representation. …”
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