A 5G network based conceptual framework for real-time malaria parasite detection from thick and thin blood smear slides using modified YOLOv5 model by Swati Lipsa, Ranjan Kumar Dash, Korhan Cengiz, Nikola Ivković, Adnan Akhunzada

“…Methods The proposed system leverages a deep learning-based YOLOv5x algorithm to detect malaria parasites in thick and thin blood smear samples. …”
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Efficiency assessment of micro hydropower for agriculture using modern modeling by Urishev Omadjon, Salomov Uktam, Ergashev Sirojiddin, Kuchkarov Akmaljon, Madaliev Murodil, Abdukarimov Bekzod, Juraev Nurmakhamad

“…Using modern numerical analysis methods, including computational turbulence modeling algorithms, the study evaluates the energy production and optimization of micro-hydropower plant operation under various conditions. …”
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Delta-V-Based Cooperative Strategies for Orbital Two-Pursuer One-Evader Pursuit–Evasion Games by Sihan Xu, Liran Zhao, Weichen Zhang, Zhaohui Dang

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Tomographic SAR imaging via generative adversarial neural network with cascaded U‐Net architecture by Jie Li, Kun Wang, Zhiyuan Li, Bingchen Zhang, Yirong Wu

“…It can be regarded as an inherently sparse reconstruction problem and can be solved using compressive sensing algorithms. However, the performances are limited by the number of acquisitions and suffer from computational burdens in practice. …”
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UAV target tracking method based on global feature interaction and anchor-frame-free perceptual feature modulation. by Yuanhong Dan, Jinyan Li, Yu Jin, Yong Ji, Zhihao Wang, Dong Cheng

“…In addition, we design an anchor-free frame-aware feature modulation mechanism to reduce computation and generate high-quality anchors while optimizing the target frame refinement computation to improve the adaptability to target deformation motion. …”
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A Hybrid Approach to Call Admission Control in 5G Networks by Mohammed Al-Maitah, Olena O. Semenova, Andriy O. Semenov, Pavel I. Kulakov, Volodymyr Yu. Kucheruk

“…An effective call admission control algorithm is needed for optimizing the cellular network system. …”
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Quantum Edge Detection and Convolution Using Paired Transform-Based Image Representation by Artyom Grigoryan, Alexis Gomez, Sos Agaian, Karen Panetta

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A Comprehensive Framework for Transportation Infrastructure Digitalization: TJYRoad-Net for Enhanced Point Cloud Segmentation by Zhen Yang, Mingxuan Wang, Shikun Xie

“…The proposed method addresses the challenge of accurately capturing the current state of infrastructure while minimizing redundancy and optimizing computational efficiency. A key innovation is the development of the TJYRoad-Net model, which achieves over 85% mIoU segmentation accuracy by including a traffic feature computing (TFC) module composed of three critical components: the Regional Coordinate Encoder (RCE), the Context-Aware Aggregation Unit (CAU), and the Hierarchical Expansion Block. …”
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YOLO-HPSD: A high-precision ship target detection model based on YOLOv10. by Manlin Zhu, Dezhi Han, Bing Han, Xiaohu Huang

“…This study proposes a high-precision ship target detection algorithm based on YOLOv10, named YOLO-HPSD (High-precision Ship Target Detection). …”
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Robust Two-stage Dispatch of Multi-area Integrated Electric-gas Systems: A Decentralized Approach by Nan Jia, Cheng Wang, Yao Li, Nian Liu, Tianshu Bi

“…Then, an improved I-ADMM is proposed to realize the decentralized optimization for MISOCPs. Moreover, three acceleration methods are devised to reduce the computation burden. …”
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Auxiliary Teaching and Student Evaluation Methods Based on Facial Expression Recognition in Medical Education by Xueling Zhu, Roben A Juanatas

“…Facial expression recognition uses computer vision and deep learning algorithms to identify students’ emotional states. …”
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Towards ML Models’ Recommendations by Lara Kallab, Elio Mansour, Richard Chbeir

“…A prominent way to achieve this is machine learning (ML), which optimizes system performance by employing learning algorithms to create models based on data and its inherent patterns. …”
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Asymptotic expansions as control variates for deep solvers to fully-coupled forward-backward stochastic differential equations. by Makoto Naito, Taiga Saito, Akihiko Takahashi, Kohta Takehara

“…The results show that the proposed method exhibits not only faster convergence but also greater stability in computation.…”
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Cooperative Localization for GNSS-Denied Subterranean Navigation: A UAV–UGV Team Approach by David Akhihiero, Uthman Olawoye, Shounak Das, Jason Gross

“…Details and a comparison between an extended Kalman filter and an incremental factor graph optimization implementation are provided. The performance of the presented algorithms is analyzed via experiments conducted in a motion-capture facility.…”
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Wavenumber-Domain Joint Estimation of Rotation Parameters and Scene Center Offset for Large-Angle ISAR Cross-Range Scaling by Bakun Zhu, Weigang Zhu, Hongfeng Pang, Chenxuan Li, Lei Qui, Jinhai Yan, Fanyin Ma, Yijia Liu

“…Utilizing this model and the sensitivity of wavenumber-domain imaging to SCO, a joint estimation algorithm that combines particle swarm optimization (PSO) and image entropy evaluation is proposed, achieving accurate parameter estimation. …”
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SPOTting Model Parameters Using a Ready-Made Python Package. by Tobias Houska, Philipp Kraft, Alejandro Chamorro-Chavez, Lutz Breuer

“…The case studies reveal that the implemented SPOTPY methods can be used for any model with just a minimal amount of code for maximal power of parameter optimization. They further show the benefit of having one package at hand that includes number of well performing parameter search methods, since not every case study can be solved sufficiently with every algorithm or every objective function.…”
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Decentralized nonlinear model predictive control-based flock navigation with real-time obstacle avoidance in unknown obstructed environments by Nuthasith Gerdpratoom, Kaoru Yamamoto

“…A point cloud processing technique is presented for both two-dimensional and three-dimensional point clouds to minimize the computational burden during the optimization. The process consists of directional filtering and down-sampling that significantly reduce the number of data points. …”
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Methods to Quantitatively Evaluate the Effect of Shale Gas Fracturing Stimulation Based on Least Squares by DENG Cai, SUN Kexin, WEN Huan, HU Chaolang

“…Engineering-informed constraints, such as realistic friction ranges and fluid behavior boundaries, were incorporated to ensure physically meaningful solutions. Advanced global optimization algorithms, including the Levenberg-Marquardt method, were applied to effectively address this non-convex problem. 2) Active perforation assessment: A computational method was developed based on the fitted perforation friction coefficient and established perforation erosion equations. …”
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Improved Quantum Query Upper Bounds Based on Classical Decision Trees by Arjan Cornelissen, Nikhil S. Mande, Subhasree Patro

“…In particular, we obtain a bounded-error quantum query algorithm of cost $O(\sqrt{s})$ to compute a Boolean function (more generally, a relation) that can be computed by a classical (even randomized) decision tree of size $s$. …”
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Compact bandpass pixelated microwave filters with short-circuited stubs via inverse design by Miguel A. Gomez, Wei Jia, Steve Blair, Berardi Sensale-Rodriguez

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