Automation in Construction (2000–2023): Science Mapping and Visualization of Journal Publications by Mohamed Marzouk, Abdulrahman A. Bin Mahmoud, Khalid S. Al-Gahtani, Kareem Adel

“…First, the growth and citation of the publications over time are inspected and evaluated, in addition to ranking the most influential documents. …”
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Numerical investigation with experimental validation of aerodynamics performance of NACA 2414 airfoil with passive momentum injection through channeling by Md. Mushfiqur Rahman, Ahmed Abrar Shayor, Abdullah Al-Faruk, Md. Touhidur Rahman Evan

“…The lift-to-drag ratio obtained was 8.35 at Mach 0.1 in experiment and 8.93 in numerical simulations, which validated the accuracy of computational model. Simulations were conducted at Mach 0.25 to evaluate performance under practical aerodynamic conditions. …”
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The coupled vibration of train and bridge as high-speed trains meet in crosswind by Wenhua Guo, Xinmin Hong, Chunxia Chen

“…The dynamic model of vehicle-bridge coupling system is established considering the effects of aerodynamic force of train passing each other under crosswind, the dynamic response of train intersection on the bridge under crosswind is computed and the running safety of the train is evaluated. …”
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The role of Technetium-99m-Ethambutol scintigraphy in the management of spinal tuberculosis by Lisa Herawati Diah, Achmad Hussein Sundawa Kartamihardja

“…Single-photon emission computed tomography/computed tomography acquisition was performed on suspected area. 99mTc-EMB image were analyzed by two nuclear medicine specialis. …”
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Are vision transformers replacing convolutional neural networks in scene interpretation?: A review by N. Arockia Rosy, K. Balasubadra, K. Deepa

“…Technical advancements in computer vision have been overwhelmingly successful, primarily driven by the harnessing of deep learning algorithms. …”
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LMSOE-Net: lightweight multi-scale small object enhancement network for UAV aerial images by Zhixing Ma, Peidong Luo, Xiaole Shen

“…Compared to three variants of YOLOv8, LMSOE-Net reduces parameters and computational complexity by approximately 30%, while improving mAP@0.5 and mAP@0.5:0.95 by 1–2%. …”
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Segmentation and finite element analysis in orthopaedic trauma by Kevin Y. Wang, Alexander R. Farid, Simon Comtesse, Arvind G. von Keudell

“…The process utilizes patient-specific volumetric data—computed tomography (CT) scan, for example—and aims for a balance between computational efficiency and accuracy. …”
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Predictive modeling of ADME properties using M-polynomial based topological indices for biocompatible polysaccharides by W. Eltayeb Ahmed, Muhammad Naeem, Muhammad Kamran Siddiqui, Mohamed Abubakar Fiidow

“…Their predictive utility was evaluated through statistical correlations with several ADME-related physico-chemical properties of polycyclic drugs. …”
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Using deep convolutional networks combined with signal processing techniques for accurate prediction of surface quality by Mohammad Zangane, Mohammad Shahbazi, Seyed Ali Niknam

“…ShuffleNet demonstrated a strong combination of accuracy (96–98%) and low computational cost. The robustness of networks was evaluated by introducing Gaussian noise at two levels. …”
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Two-Dimensional vs. Three-Dimensional FE Modeling of Skin and Proximity Effects in Segmented Cables with Parallel Conductors: A Comparative Study by Soheil Ahmadi, S. H. Khan, K. T. V. Grattan

“…This highlights the computational efficiency of 2D models for certain cable designs without compromising accuracy. …”
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Optimizing motorcycle tire tread patterns to mitigate hydroplaning: Development and validation of a predictive mathematical model by Weerachai Chaiworapuek, Ravivat Rugsaj, Chakrit Suvanjumrat

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Leveraging prior knowledge to infer gene regulatory networks from single-cell RNA-sequencing data by Marco Stock, Corinna Losert, Matteo Zambon, Niclas Popp, Gabriele Lubatti, Eva Hörmanseder, Matthias Heinig, Antonio Scialdone

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NeuSD: Surface Completion With Multi-View Text-to-Image Diffusion by Savva Ignatyev, Daniil Selikhanovych, Oleg Voynov, Yiqun Wang, Peter Wonka, Stamatios Lefkimmiatis, Evgeny Burnaev

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Temperature Prediction Model for Power Data Centers Based on GRU by WANG Xu, TUO Ya, LI Xin, WANG Fang, LI Chenxia, DING Bo

“…Additionally, the Attention Mechanism is employed to compute attention scores for the hidden layers of GRU and allocate attention weights, highlighting the influence of highly correlated features. …”
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Body composition metrics as a determinant of trastuzumab deruxtecan related toxicity and response by Shiran Yaacobi Peretz, Rivka Kessner, Yael Bar, Amir Sonnenblick, Shir Lerner, Ariella Deutsch-Lukatsky, Karteek Popuri, Mirza Faisal Beg, Shlomit Strulov Shachar

“…Using computed tomography, skeletal muscle, visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT) were assessed within 60 days before initiating treatment. …”
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LEVERAGING MACHINE LEARNING ALGORITHMS TO IDENTIFY POTENTIAL GEOSITES FOR GEOTOURISM PROMOTION IN ZIZ UPPER WATERSHED IN SOUTHEASTERN MOROCCO by Lahbib NAIMI, Mohamed MANAOUCH, Abdeslam JAKIMI

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Integrating Humanities into Cybersecurity Education: Enhancing Ethical, Historical, and Sociopolitical Understanding in Technical Training by Joseph Frusci

“…The results of pre- and post-course assessments demonstrated significant improvements in critical thinking, ethical decision-making, and the ability to evaluate cybersecurity issues from a broader societal perspective. …”
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Effect of Solvents on the Adsorption Properties of Benzo[α]pyrene-imprinted Polymers by Bhagyashree Bhagat, Reddithota J. Krupadam

“…The adsorption capacities of the MIPs towards B[α]P were evaluated from the adsorption kinetics and isotherms. …”
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Web services composition algorithm based on the location of backup service and probabilistic QoS model by Hua WEN

“…A service cluster based QoS optimization selection for each service was computed which contained a sufficient number of backup services. …”
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Statistical modeling based fast rate distortion estimation algorithm for HEVC by Xiang MENG, Haibing YIN, Xiaofeng HUANG

“…To reduce the coding computational complexity of the rate and distortion calculations in HEVC, a fast TU level rate model with higher accuracy was proposed.The contribution percentages of different syntax elements in entropy coding were evaluated, and syntax element-wise accurate rate models were individually developed to construct the whole TU level model.In addition, coefficient levels were weighted adaptively to distinguish the nonuniform contributions of different coefficients in terms of rate profiling.Moreover, position-wise parameter was defined to depict the distribution patterns for possible non-zero coefficients within one block.The final linear rate model was developed by fine-tuning the model parameters from great amounts of samples in a statistical way.Finally, the transform domain distortion model was also established to bypass unnecessary reconstruction process.Experimental results show that the proposed algorithm can achieve 49.76% complexity reduction with 1.74% BD-BR increase for RA configuration.…”
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