Methodological Tools for Evaluating Effectiveness of Capital Construction Projects of Oil Producing Enterprises by E. L. Chazov, V. P. Grakhov, O. L. Simchenko

“…The choice of the optimal project is based on a two – level assessment (stage 1– technical assessment, stage 2 – economic assessment). At each stage, an integral indicator is determined by calculation based on the results of objective data analysis  and using the developed algorithms. …”
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DentoMorph-LDMs: diffusion models based on novel adaptive 8-connected gum tissue and deciduous teeth loss for dental image augmentation by Hanaa Salem Marie, Mostafa Elbaz, Riham sobhy Soliman, Amira Abdelhafeez elkhatib

“…Abstract Pediatric dental image analysis faces critical challenges in disease detection due to missing or corrupted pixel regions and the unique developmental characteristics of deciduous teeth, with current Latent Diffusion Models (LDMs) failing to preserve anatomical integrity during reconstruction of pediatric oral structures. …”
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SPYDER: QoS-Aware Radio Resource Allocation in Multiuser ISAC-Capable C-V2X Networks by Syed Najaf Haider Shah, Aamir Ullah Khan, Christian Schneider, Joerg Robert

“…To counteract this, we employ sparse reconstruction algorithms within the compressed sensing framework, enhancing flexibility in TF resource allocation and providing high-resolution radar sensing despite uncoordinated resource selection. …”
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A Novel Method for Noise Reduction and Jump Correction of Maglev Gyroscope Rotor Signals Under Instantaneous Perturbations by Di Liu, Zhen Shi, Chenxi Zou, Ziyi Yang, Jifan Li

“…To solve this problem, we propose a novel noise reduction algorithm that integrates Moving Average Filtering with Autoregressive Integrated Moving Average (MAF-ARIMA), based on the noise characteristics of the rotor jump signal. …”
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A novel hybrid methodology for wind speed and solar irradiance forecasting based on improved whale optimized regularized extreme learning machine by S. Syama, J. Ramprabhakar, R Anand, V. P. Meena, Josep M. Guerrero

“…Then, a unique swarm intelligence technique, the non-linear dimension learning Hunting Whale Optimization Algorithm (NDLHWOA), is devised to optimize regularized extreme learning machine model parameters to capture the implicit information of each reconstructed sub-series. …”
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Research on short-term traffic flow prediction based on the PCC-IGA-LSTM model by Junxi Zhang, Shiru Qu, Yang Bi, Lijing Ma

“…To effectively address the spatial–temporal feature mining problem in short-term traffic flow prediction for complex road networks, a new method that combined the Pearson correlation coefficient (PCC) and improved genetic algorithm to optimize the long short-term memory model (IGA-LSTM) was constructed. …”
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Transmit and Receive Diversity in MIMO Quantum Communication for High-Fidelity Video Transmission by Udara Jayasinghe, Prabhath Samarathunga, Thanuj Fernando, Anil Fernando

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Model-Based Hardware-Software Codesign of ECT Digital Processing Unit by Atef Allam, Wael Deabes

“…Image reconstruction algorithm and its controller constitute the main modules of the electrical capacitance tomography (ECT) system; in order to achieve the trade-off between the attainable performance and the flexibility of the image reconstruction and control design of the ECT system, hardware-software codesign of a digital processing unit (DPU) targeting FPGA system-on-chip (SoC) is presented. …”
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Vibration Information Acquisition and Representation Control Strategy for Construction Vehicle Driver Seat by Mingde Gong, Baoqiang Zhao, Xin Wang

“…The vehicle vibration displacement information is reconstructed by the low-frequency attenuation integration method on the basis of attitude measurement to inhibit integral trend items and reduce vibration displacement reconstruction errors. …”
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Uncertainty evaluation of surface profile measurement error based on adaptive sparse grid polynomial chaos expansion by Ke Zhang, Xinya Zheng, Ruiyu Zhang

“…This model is optimized using Cholesky decomposition to handle variable correlations, sparse grid integration for efficient generation of multidimensional integration points, and maximum entropy method for direct reconstruction of probability distributions, thereby achieving efficient evaluation of the measurement error and uncertainty of surface profile. …”
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Real-time temperature prediction of large-scale lithium battery module driven by data based on few measurement points by Jiajie HAN, Qingyang YUAN, Yu LI, Bo ZHANG, Ke XUE, Tian LAN

“…The results show that the reconstructed temperature profiles closely matched actual data, demonstrating the effectiveness of the Gappy POD algorithm. …”
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Modern approaches for management patients with craniofacial tumors (literature review) by A. S. Dikarev, S. A. Vartanyan, A. A. Martirosyan

“…Systemic approach to the analysis of effectiveness and expediency of modern approaches to treatment of patients with tumors of the craniocephalic region requires integration of several key concepts. Taking into account individual characteristics of the patient by an experienced surgical team can lead to good treatment results including increased survival rates.Development of algorithms for management of patients of this category and individualization of selection of reconstructive techniques are important problems in practical healthcare. …”
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Speckle Noise Removal in OCT Images via Wavelet Transform and DnCNN by Fangfang Li, Qizhou Wu, Bei Jia, Zhicheng Yang

“…This reconstruction step maintains structural integrity and enhances diagnostic clarity by preserving essential spatial features. (3) Results: The MSE, PSNR, and SSIM indices of the proposed algorithm in this paper were 4.9052, 44.8603, and 0.9514, respectively, achieving commendable results compared to other algorithms. …”
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Compressive-Sensing-Based Video Codec by Autoregressive Prediction and Adaptive Residual Recovery by Ran Li, Hongbing Liu, Rui Xue, Yanling Li

“…Specifically, to reduce the quantization errors of measurements, a nonuniform quantization is integrated into the DPCM-based quantizer. At the decoder side, a novel joint reconstruction algorithm is proposed to improve the quality of reconstructed video frames. …”
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Dynamic Deformation Analysis of Super High-Rise Buildings Based on GNSS and Accelerometer Fusion by Xingxing Xiao, Houzeng Han, Jian Wang, Dong Li, Cai Chen, Lei Wang

“…To accurately capture the dynamic displacement of super-tall buildings under complex conditions, this study proposes a data fusion algorithm that integrates NRBO-FMD optimization with Adaptive Robust Kalman Filtering (ARKF). …”
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A digital twin-driven enhanced visualization method for high-steep slope scene by Jun Zhu, Ying Ren, Yukun Guo, Jingyi Lu, Jianlin Wu, Zhihao Guo, Hengchao Gu, Hongyue Zhao

“…Firstly, the slope model is rapidly reconstructed using an improved QEM algorithm combined with multi-level semantic constraints. …”
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Restoration of multi-channel signal loss using autoencoder with recursive input strategy by Jaejun Lee, Yonggyun Yu, Hogeon Seo

“…To overcome these limitations, we propose an autoencoder-based data recovery algorithm that recursively feeds reconstructed outputs back into the model to progressively refine estimates. …”
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High-Throughput Photonic Time-Stretch Optical Coherence Tomography with Data Compression by Chaitanya K. Mididoddi, Fangliang Bai, Guoqing Wang, Jinchao Liu, Stuart Gibson, Chao Wang

“…A number of optimization algorithms for the reconstruction of the frequency-domain OCT signals have been compared in terms of reconstruction accuracy and efficiency. …”
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RecompGPT: Generative Pre-Trained Transformers-Assisted Interactive Human Gaze Pattern Learning and Distribution Modeling for Scene Recomposition by Wang Shang, Nassiriah Binti Shaari, Nur Sauri Bin Yahaya, Liu Hao

“…LOAL is an active-learning algorithm that selects multiple representative patches from each scene image. …”
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A Lightning Very-High-Frequency Mapping DOA Method Based on L Array and 2D-MUSIC by Chuansheng Wang, Nianwen Xiang, Zhaokun Li, Zengwei Lyu, Yu Yang, Huaifei Chen

“…The proposed approach integrates the Random Sample Consensus (RANSAC) algorithm with 2D-MUSIC, thereby enhancing the precision and robustness of the reconstruction process. …”
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