Mixed Convection and Thermally Radiative Flow of MHD Williamson Nanofluid with Arrhenius Activation Energy and Cattaneo–Christov Heat-Mass Flux by S. Eswaramoorthi, Nazek Alessa, M. Sangeethavaanee, Safak Kayikci, Ngawang Namgyel

“…In addition, the comparative results are confirmed and reached an outstanding accord.…”
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Handling Heterogeneous Traffic  for Software Defined Data-Center Network Using Spike Neural Network by Sanarya Jamal AL-Azawee, Nadia Adnan Shiltagh Al-Jamali

“…The effectiveness of the algorithm was examined when classifying traffic using many metrics and its efficiency was proven as it was able to reduce the average error and its accuracy reached 99%. …”
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Probabilistic Solar Proxy Forecasting With Neural Network Ensembles by Joshua D. Daniell, Piyush M. Mehta

“…Uncertainty was also investigated through the use of a calibration error score metric (CES), our best ensemble reached similar CES as other work.…”
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Optimizing chemotherapeutic targets in non-small cell lung cancer with transfer learning for precision medicine. by Varun Malik, Ruchi Mittal, Deepali Gupta, Sapna Juneja, Khalid Mohiuddin, Swati Kumari

“…For dimensionality reduction, the modified Rime optimization (MRO) algorithm is used to select the best features among multiples. …”
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Surgical treatment of patients with myopathic ptosis by M. A. Zakharova, M. G. Kataev

“…Purpose: to evaluate the results of treatment of patients with myopathic ptosis of the upper eyelids, operated in various ways, and propose an algorithm for choosing the method of treatment. Materials and methods. …”
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Beam-steering of a single-element nano-antenna with two transferring dielectric flat lenses by Fatma E. Helmy, Ibrahim I. Ibrahim, Amany M. Saleh

“…Moreover, the PSO algorithm is provided to maximize the pre-specified fitness function.…”
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Advancing Built-Up Area Monitoring Through Multi-Temporal Satellite Data Fusion and Machine Learning-Based Geospatial Analysis by Alessandro Vitale, Francesco Lamonaca

“…Landsat multispectral imagery from 2006 to 2024 was classified using a Random Forest (RF) algorithm, trained and validated with CORINE Land Cover maps for 2006, 2012, and 2018. …”
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Stochastic economic placement and sizing of electric vehicles charging station with renewable units and battery bank in smart distribution network by Mehdi Veisi

“…Benders decomposition algorithm is used to extract the optimal solution. …”
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Simulating of snow cover formation by the model of interaction between the land surface and the atmosphere (SWAP) by E. M. Gusev, O. N. Nasonova

“…Good quality of reproduction of the snow storages variability on all considered sites is reached that allows consideration of the SWAP model as one of the best models of the snow cover formation. …”
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Automatic measurement of proximal femoral morphological parameters using point cloud semantic segmentation technology by Yagang Wang, Qiulong Yang, Jiantao Li, Kaixuan Wang, Miaotian Tang

“…Then, use the GBCPD point cloud registration algorithm to complete a fast hierarchical registration between the two models, establishing point-to-point correspondences. …”
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Image dehazing based on double branch convolution and detail enhancement by ZHAI Fengwen, ZHU Yutong, JIN Jing

“…The quantitative objective analysis and comparison show that the peak signal-to-noise ratio and the structural similarity index reach 39.69 dB and 0.994 respectively, indicating that there is a certain improvement compared with the optimal algorithm in the comparison network model. …”
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Research on the Reliability of Intelligent Dispatching Management System for Open-pit Mines by QIU Zixian, XU Yueyun, WANG Xiaowei, HU Manjiang, QIN Hongmao

“…The random deployment method requires the total service instance to reach 47 to achieve more than 99.99% reliability; and when the total resources are small, the traversal deployed scheduling system can be up to 3.87% higher than the randomly deployed scheduling system.…”
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Reversible data hiding scheme based on enhanced image smoothness by Jinghan WANG, Hui ZHU, Helin LI, Hui LI, Xiaopeng YANG

“…With the prosperity of Internet technology and the popularity of social networks, reversible data hiding technology has been widely adopted in concealed information transmission of medical and military fields with its advantages on secret information recovery.Traditional reversible data hiding schemes mainly focus on the enhancement of embedding capacity and the reduction of the distortion rate of stego image, but pay less attention to the understanding of image details with the human eyes.Thus, it is difficult to resist hidden information detection methods.To solve the above challenge, a reversible data hiding algorithm was proposed, which ensured the visual quality of the stego image in the process of data hiding through the image visual smoothness enhancement.Specifically, the original image was divided into reference area and non-reference area.The secret data was embedded through the translation of the difference, which was calculated according to the predicted pixel value and the original pixel value of the non-reference area.To guarantee the visual quality of the image, smoothing mechanism was constructed, in which a Gaussian filter was utilized as a template to filter the predicted value and to add the filter difference into the cover image without loss.The pixel value of the reference region was used as edge information for lossless restoration of the original image.The filtering coefficient in Gaussian function was exploited as the embedded key to ensure the security of secret information.Simulation results regarding a large number of classical image data sets illustrated that the visual smoothness of stego image processed by this scheme was effectively enhanced with lower distortion rate, higher embedding rate, and higher embedding and extraction efficiency.In a typical circumstance, the similarity between the generated stego image and the Gaussian filter image can reach 0.9963.The PSNR and the embedded capacity can be up to 37.346 and 0.3289 BPP, respectively.…”
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Research on the Optimization of the Electrode Structure and Signal Processing Method of the Field Mill Type Electric Field Sensor by Wei Zhao, Zhizhong Li, Haitao Zhang

“…Experimental results indicate that within the simulated electric field intensity range of 0–20 kV/m in the laboratory, the measurement resolution of this system can reach 18.7 V/m, and the measurement linearity is more than 99%. …”
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Resource Control in IRS Assisted Multi-Access Edge Computing for Sustainable 6G IIoT Networks by Ashu Taneja, Shalli Rani, Wadii Boulila

“…Moreover, the achievable rate reaches 5.6 bps/Hz at <inline-formula> <tex-math notation="LaTeX">$P = 20$ </tex-math></inline-formula> dBm. …”
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Visual information perception system of coal mine comprehensive excavation working face for edge computing terminal by Dongyang Zhao, Guoyong Su, Pengyu Wang

“…Secondly, the pruning and distillation algorithm is used to lighten the FSBD‐YOLOv5s model, and the model complexity is greatly reduced while maintaining the model detection accuracy. …”
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A Parameter-Optimized DBN Using GOA and Its Application in Fault Diagnosis of Gearbox by Jingbo Gai, Junxian Shen, He Wang, Yifan Hu

“…After several tests with the remaining samples, the diagnosis rate of the model could reach over 99.5%, which is far better than the traditional fault diagnosis method based on feature extraction and pattern recognition. …”
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A Dynamic Hill Cipher with Arnold Scrambling Technique for Medical Images Encryption by Yuzhou Xi, Yu Ning, Jie Jin, Fei Yu

“…Moreover, the Peak Signal to Noise Ratio (PSNR) and Number of Pixel Change Rate (NPCR) of the proposed DHCAST algorithm reach 9.51 and 99.74%, respectively, which effectively validates its excellent encryption quality and attack prevention ability.…”
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Abnormal Sound Detection of Wind Turbine Gearboxes Based on Improved MobileFaceNet and Feature Fusion by Yuelong Liang, Haorui Liu, Yayu Chen

“…To solve problems such as the unstable detection performance of the sound anomaly detection of wind turbine gearboxes when only normal data are used for training, and the poor detection performance caused by the poor classification of samples with high similarity, this paper proposes a self-supervised wind turbine gearbox sound anomaly detection algorithm that fuses time-domain features and Mel spectrograms, improves the MobileFaceNet (MFN) model, and combines the Gaussian Mixture Model (GMM). …”
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Congenital Melanocytic Nevus of the Nose: Clinical Experience and Reconstructive Approaches by Alexander Margulis, MD, Allan Billig, MD, Neta Adler, MD

“…The authors developed a treatment algorithm with the aim of offering an optimal surgical management plan. …”
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