Unveiling Facial Fidelity: A Novel Approach to Synthesizing High-Quality Face Images Using Generative Adversarial Networks by Modafar Ati, Muhammad Ahmed Hassan, Muhammad Usman Ghani

“…In the field of computer vision, generating realistic images from sketches has garnered considerable attention due to its wide-ranging applications in art, design, and facial recognition systems. …”
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A simple monocular depth estimation network for balancing complexity and accuracy by Xuanxuan Liu, Shuai Tang, Mengdie Feng, Xueqi Guo, Yanru Zhang, Yan Wang

“…Particularly in practical applications, enhancing the accuracy of depth prediction while ensuring computational efficiency remains a challenging issue. …”
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FDRL: a data-driven algorithm for forecasting subsidence velocities in Himalayas using conventional and traditional soil features by Sahil Sankhyan, Ajoy Kumar, Praveen Kumar, Aaditya Sharma, K. V. Uday, Varun Dutt

“…The FDRL model outperformed baseline regression models with a training Root Mean Squared Error (RMSE) of 1.11 mm/year and a test RMSE of 1.32 mm/year. …”
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Road Pothole Recognition and Size Measurement Based on the Fusion of Camera and LiDAR by Yongxiang Cai, Mingxing Deng, Xin Xu, Wei Wang, Xiaowei Xu

“…In practical scenarios, the relative error in size measurement is generally within 15%, with an average data processing time of 45.6 ms per frame, thereby satisfying the system’s real-time requirement of 100 ms per frame.…”
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Colossal permittivity and humidity sensing properties of CaCu3Ti4O12 ceramics derived from cockle shell CaCO3 via CO2 absorption by Kaniknun Sreejivungsa, Suppanat Kosolwattana, Morakot Sakulsombat, Prasit Thongbai

“…The resulting ceramics exhibited colossal dielectric permittivity (∼ 105 at 1 kHz, 25 °C) and a low dielectric loss (tanδ ≈ 0.04), confirming their suitability for capacitor applications. The high dielectric permittivity was primarily attributed to the internal barrier layer capacitor mechanism, in which insulating grain boundaries separated semiconducting grains, enhancing interfacial polarization. …”
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Machine learning with analysis-of-variance-based method for identifying rice varieties by Nabin Kumar Naik, M. Venkata Subbarao, Prabira Kumar Sethy, Santi Kumari Behera, Gyana Ranjan Panigrahi

“…These high accuracy rates are particularly noteworthy, as they indicate the robustness and reliability of the proposed methodology in distinguishing between different rice varieties with minimal error. This high level of precision is critical for practical applications, such as quality control in rice production, to ensure that customers receive the specific rice variety they demand. …”
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Centralized Measurement Level Fusion of GNSS and Inertial Sensors for Robust Positioning and Navigation by Mohamed F. Elkhalea, Hossam Hendy, Ahmed Kamel, Ashraf Abosekeen, Aboelmagd Noureldin

“…These findings underscore the substantial advancements in precision resulting from the integration of GNSS and INS technologies, thereby unlocking the full potential of transformative applications in the realm of intelligent vehicle navigation.…”
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Super-Resolution Three-Dimensional Topography Measurement Using Microsphere-Aided Broadband Light Interferometry by Keran Deng, Yangyi Liu, Fan Yang, Jian Huang, Lianghua Wen

“…We believe that our proposed super-resolution three-dimensional topography measurement using microsphere-aided broadband light interferometry will be of great interests in semiconductor, material, laser eavesdropping, extreme fabrication and biomedical applications.…”
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Research trends in virtual reality surgical simulation for education: a systematic review by Changhyun Choi, Hongrae Kim, Dae Kyung Sohn

“…In this study, we systematically reviewed research trends in VR-based surgical education to provide insights into its current applications and future potential. Methods : A comprehensive literature search was conducted on PubMed, identifying 395 studies. …”
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New Possibilities for Evaluating Markers of Alzheimer's Disease in Blood Serum by S. V. Vorobev, A. Yu. Plekhanov, I. K. Ternovykh, A. S. Usikov, A. А. Lebedev, A. N. Smirnov, N. M. Shmidt, M. S. Dunaevskiy, S. P. Lebedev

“…The concentration of proteins in the blind experiment was determined with an error of 1.5 times, that is, about half the dilution step. …”
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Spatial-temporal data analysis of digital twin [version 1; peer review: 1 approved, 2 approved with reservations] by Qian Ai, Lei Tang, Xing He, Bo Pan, Robert Qiu

“…We provide a concise yet comprehensive tutorial on spatial-temporal analysis considering data, theories, algorithms, indicators, and applications. The advantages of our spatial-temporal analysis are discussed, including model-free mode, solid theoretical foundation, and robustness against ubiquitous uncertainty and partial data error. …”
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Reconstruction of Electrochemical Impedance Spectroscopy from Time-Domain Pulses of a 3.7 kWh Lithium-Ion Battery Module by Manuel Kasper, Manuel Moertelmaier, Hartmut Popp, Ferry Kienberger, Nawfal Al-Zubaidi R-Smith

“…This time-domain pulsing approach provides an alternative to EIS characterization, making it particularly valuable for battery monitoring, the classification of battery packs upon their return to the manufacturer, second-life applications, and recycling.…”
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A Surrogate Piecewise Linear Loss Function for Contextual Stochastic Linear Programs in Transport by Qi Hong, Mo Jia, Xuecheng Tian, Zhiyuan Liu, Shuaian Wang

“…Traditional two-stage frameworks separate prediction and optimization, which can lead to suboptimal decisions, as minimizing prediction error does not necessarily minimize decision loss. …”
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Learning on Bandwidth Constrained Multi-Source Data With MIMO-Inspired DPP MAP Inference by Xiwen Chen, Huayu Li, Rahul Amin, Abolfazl Razi

“…However, a commonly adopted presumption of all data samples being available at one point hinders its applicability to real-world scenarios where data samples are distributed across distinct sources with intermittent and bandwidth-limited connections. …”
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An enhanced deep learning approach for speaker diarization using TitaNet, MarbelNet and time delay network by Muzamil Ahmed, Riad Alharbey, Ali Daud, Hikmat Ullah Khan, Javeria Nawal, Ghazia Arshad

“…The proposed framework contributes to real-world applications in speech transcription, speaker authentication, and audio archiving.…”
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USING THE ANYLOGIC ENVIRONMENT FOR MODELING AND ANALYSIS OF THE INFORMATION SECURITY AUDIT PROCESS by Kamilla M. Khuranova, Igor D. Kologorov, Sergey A. Reznichenko, Leonid N. Kessarinskiy

“…Validation against RTM Group’s real-world data showed an audit duration prediction error margin within a few percentage points. Conclusions confirm the effectiveness of simulation modeling for enhancing audit transparency. …”
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ECG Sensor Design Assessment with Variational Autoencoder-Based Digital Watermarking by Chih-Yu Hsu, Chih-Yin Chang, Yin-Chi Chen, Jasper Wu, Shuo-Tsung Chen

“…Experimental results demonstrate that watermarking applied through the mean (μ) and in the frequency domain achieves a low Mean Squared Error (MSE) while maintaining stable signal fidelity across varying watermark strengths (α), latent space dimensions, and noise levels. …”
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Streamflow routing at high temporal resolution: A distributed hydrological model with dam and weir impacts by Yonggwan Lee, Jeehun Chung, Jiwan Lee, Wonjin Jang, Seongjoon Kim

“…The model’s fine temporal resolution provides valuable insights for water management, with potential future applications in smaller watersheds using finer grid resolutions to address localized challenges.…”
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Chemometric and meta-heuristic algorithms to find optimal wavelengths and predict ‘Red Delicious’ apples traits using Vis-NIR by Mahsa S. Razavi, Vali Rasouli Sharabiani, Mohammad Tahmasebi, Silvia Grassi, Mariusz Szymanek

“…SVM-R demonstrated slightly higher performance in predicting apples traits in validation: pH (R2 0.935, RMSEP 0.019, and RPD 3.636), TA (R2 0.932, RMSEP 0.026, and RPD 3.447), SSC (R2 0.913, RMSEP 0.174, and RPD 3.168), ascorbic acid (R2 0.938, RMSEP 0.154, and RPD 3.725), firmness (R2 0.932, RMSEP 0.311, and RPD 3.522), and anthocyanin (R2 0.921, RMSEP 0.007, and RPD 3.171).Thus, different metaheuristic variable selection techniques (including ACO, LA, GA, PSO, LCA, FOA, WCC, CUK, DSOS, ICA, and HTS) were combined with SVM to identify the most important wavelengths for practical industry applications. SVM-PSO and SVM-FOA were identified as the most effective wavelength selection methods based on average coefficient of correlation, average convergence of error, execution time, and the number of selected wavelengths.…”
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Investigating the impact of the regularization parameter on EEG resting-state source reconstruction and functional connectivity using real and simulated data by F. Leone, A. Caporali, A. Pascarella, C. Perciballi, O. Maddaluno, A. Basti, P. Belardinelli, L. Marzetti, G. Di Lorenzo, V. Betti

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