CDUNeXt: efficient ossification segmentation with large kernel and dual cross gate attention by Hailiang Xia, Chuantao Wang, Zhuoyuan Li, Yuchen Zhang, Shihe Hu, Jiliang Zhai

“…This work fills the gap in the application of deep learning techniques in the diagnosis of ligamentum flavum ossificans, contributes to the realization of lightweight medical image segmentation networks and lays the foundation for subsequent research.…”
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Dairy Chain Safety in the Context of Antibiotic Residues—Current Status of Confirmatory Liquid Chromatography Methods: A Review by Sandra Dluhošová, Klára Bartáková, Lenka Vorlová, Pavlína Navrátilová, Oto Hanuš, Eva Samková

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Reward shaping-based deep reinforcement learning for look-ahead dispatch with rolling-horizon by Hongsheng Xu, Yungui Xu, Ke Wang, Yaping Li, Abdullah Al Ahad

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Fast Analysis of Multi-Layered Anisotropic Electromagnetic Propagation Based on Z-Transform Finite-Difference Time-Domain Method with Scale-Compressed Technique by Yuxian Zhang, Yilin Kang, Xiaoli Feng, Lixia Yang, Zhixiang Huang

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An all integer-based spiking neural network with dynamic threshold adaptation by Chenglong Zou, Chenglong Zou, Xiaoxin Cui, Shuo Feng, Guang Chen, Yi Zhong, Zhenhui Dai, Yuan Wang

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Cognitive Load Identification of Pilots Based on Physiological-Psychological Characteristics in Complex Environments by Haibo Wang, Naiqi Jiang, Ting Pan, Haiqing Si, Yao Li, Wenjing Zou

“…The results of this study are more accurate compared with the cognitive load identification models established by other methods such as RNN neural network and support vector machine. This research is able to provide a useful reference for preventing and reduction of human error caused by the cognitive load during flight missions. …”
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Sand Production Prediction Model for Tight Sandstone Oil Reservoirs by Zhan-dong Li, Hong Pang, Zhong Li, Hai-xiang Zhang, Dian-ju Wang, Ji Li

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Bending Angle Sensor Based on Double-Layer Capacitance Suitable for Human Joint by Daisuke Goto, Yusuke Sakaue, Tatsuya Kobayashi, Kohei Kawamura, Shima Okada, Naruhiro Shiozawa

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Machine learning-based voice assistant: optimizing the efficiency of speech conversion for people with speech disorders by M.H. Antor, N.V. Chudinovskikh, M.V. Bachurin, A.A. Shurpikov, N.A. Khlebnikov, B.A. Bredikhin

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Regression supervised model techniques THz MIMO antenna for 6G wireless communication and IoT application with isolation prediction by Md. Ashraful Haque, Jamal Hossain Nirob, Kamal Hossain Nahin, Md․ Sharif Ahammed, Narinderjit Singh Sawaran Singh, Liton Chandra Paul, Abeer D. Algarni, Mohammed ElAffendi, Ahmed A․ Abd El-Latif, Abdelhamied A. Ateya

“…The performance of machine learning (ML) models can be assessed using criteria such as variance score, R squared, mean square error (MSE), mean absolute error (MAE), and root mean square error (RMSE). …”
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Impact resistance performance and comparative analysis of CFRP and steel strand anchors by Xin Fan, Ruixin Jia, Yize Zuo, Weiwei Liu, Yue Liu, Shuai Guan, Md Abdur Rakib, T. Tafsirojjaman

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Variable viscosity and activation energy aspects in convection heat transfer over gravity driven solar collector plate for thermal energy storage by Nidhal Ben Khedher, Zia Ullah, Mohamed Boujelbene, O. D. Makinde, Abdullah A. Faqihi, A. F. Aljohani, Abdoalrahman S. A. Omer, Ilyas Khan

“…In validation of results, the 0.00064% percentage error for heat transport and 0.00102% percentage error for mass transmission are deduced.…”
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Analytical Modeling of Forced-Air Cooling Heatsink by Considering Air Temperature Rise in Channel and Coupling of Multiple Heat Sources by Jianxiong Yu, Kaiyang Bu, Ye Tian, Bowen Liu, Yongjun Zheng, Bin Guo, Chushan Li

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Flux Analysis with the Application of Darcy’s Law Based on Borehole Data for Sustainable Groundwater Exploitation by Zul Fadhli, Khaira Khirnica, Muhammad Syukri, Layna Miska, Yurda Marvita, Marwan Marwan, Dian Budi Dharma

“…This potential is supported by the presence of sedimentary deposits consisting of materials such as gravel, sand and clay. This research was conducted to identify the type of aquifer and calculate the amount of groundwater discharge in the district of Aceh Besar. …”
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Evaluation of the fit of preformed nickel titanium arch wires on normal occlusion dental arches by Rakhn G. Al-Barakati, Nasser D. Alqahtani, Abdulaziz AlMadi, Sahar F. Albarakati, Eman A. ALKofide

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Evaluating AI Methods for Pulse Oximetry: Performance, Clinical Accuracy, and Comprehensive Bias Analysis by Ana María Cabanas, Nicolás Sáez, Patricio O. Collao-Caiconte, Pilar Martín-Escudero, Josué Pagán, Elena Jiménez-Herranz, José L. Ayala

“…Gaussian Process models, in particular, exhibited superior performance, achieving Mean Absolute Error (MAE) values as low as 0.57% and Root Mean Square Error (RMSE) as low as 0.69%. …”
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Effect of Correlation on BER Performance of the FSO-MISO System With Repetition Coding Over Gamma–Gamma Turbulence by Richa Priyadarshani, Manav R. Bhatnagar, Zabih Ghassemlooy, Stanislav Zvanovec

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A Novel Voronoi-Driven Optimization Approach for Point-Based Sensor Network Deployment by Saeid Doodman, Mir-Abolfazl Mostafavi, Raja Sengupta, Ali Afghantoloee

“…Sensor Networks (SNs) are gaining more attention in applications such as urban microclimate monitoring, which is a critical input for building energy simulation. Despite extensive research on SN placement, there remains a shortage of studies on efficient solutions that account for realistic sensing models without oversimplifying the environment or search spaces. …”
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On estimation of the quadratic hazard rate model parameters: Simulation and application by M. Nagy, A. H. Mansi, Moustafa N. Mousa, M. E. Moshref, N. Youns, M. M. M. Mansour

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Deep learning identification of reward-related neural substrates of preadolescent irritability: A novel 3D CNN application for fMRI by Johanna C. Walker, Conner Swineford, Krupali R. Patel, Lea R. Dougherty, Jillian Lee Wiggins

“…The model demonstrated satisfactory accuracy, with a mean squared error (MSE) of 1.82, and predicted irritability severity scores with a mean absolute error (MAE) of 0.48 ± 1.54 SD from the true scores. …”
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