Analysis and Synthesis March Memory Tests by V. N. Yarmolik, V. A. Levantsevich, D. V. Demenkovets

“…Mathematical models of memory device faults and the efficiency of their detection, in particular, complex pattern sensitive faults of the PNPSFk type, based on classical march memory tests are presented. …”
Get full text

Improving Malaria diagnosis through interpretable customized CNNs architectures by Md. Faysal Ahamed, Md Nahiduzzaman, Golam Mahmud, Fariya Bintay Shafi, Mohamed Arselene Ayari, Amith Khandakar, M. Abdullah-Al-Wadud, S. M. Riazul Islam

“…The SPCNN model, with 2.207 million parameters and a size of 26 MB, is more complex than PCNN but simpler than SFPCNN. Despite this, SPCNN exhibited the fastest testing times (0.00252 s), making it more computationally efficient than both PCNN and SFPCNN. …”
Get full text

Forecasting Tunnel-Induced Ground Settlement: A Hybrid Deep Learning Approach and Traditional Statistical Techniques With Sensor Data by Syed Mujtaba Hussaine, Linlong Mu, Yimin Lu, Syed Sajid Hussain

“…The proposed DL models, Convolutional Long Short-Term Memory (Conv-LSTM2D) and Convolutional Gated Recurrent Unit (Conv-GRU2D), extend traditional LSTM and GRU architectures with 2D convolutional mechanisms to capture complex spatiotemporal dependencies. Additionally, the statistical Autoregressive Integrated Moving Average (ARIMA)/Seasonal ARIMA (SARIMA) models were enhanced through seasonality removal, automated model selection using the auto_arima algorithm, and parameter fine-tuning via grid search to improve their predictive accuracy. …”
Get full text

FORMALIZATION OF THE PROBLEM OF TRANSPORT LOGISTICS OPTIMIZATION NETWORKS AT THE STAGE OF REENGINEERING by Vladimir Beskorovainyi, Lyudmyla Kolesnyk, Dmytro Yevstrat

“…The practical use of the proposed complex of mathematical models will reduce the time and capacity complexity of project decision-making support technologies, and due to the use of the proposed options selection procedures, increase their quality based on a number of functional and cost indicators. …”
Get full text

MRP-YOLO: An Improved YOLOv8 Algorithm for Steel Surface Defects by Shuxian Zhu, Yajie Zhou

“…As the accuracy of the algorithm increases, its complexity also rises, resulting in a decrease in detection speed, which undermines its practicality. …”
Get full text

Sustainable uric acid sensor based on a lab-fabricated electrode modified with rice straw-derived carbon materials by Pakin Noppawan, Jaroon Jakmunee, Andrew J. Hunt, Nontipa Supanchaiyamat, Suwiwat Sangon, Jamras Lerdsri, Thidarat Kruatian, Jantima Upan

“…Furthermore, the sensor demonstrates robust selectivity toward uric acid in the presence of typical interferents, underscoring its applicability for precise uric acid determination in complex biological matrices. …”
Get full text

A Comparative Analysis of Machine Learning Models for Predicting EFL Student Language Performance in Smart Learning Environments by Banchakarn Sameephet, Wirapong Chansanam, Mahboubeh Rakhshandehroo, Chawin Srisawat, Kittichai Nilubol, Arnon Jannok, Bhirawit Satthamnuwong, Kornwipa Poonpon

“…The analysis results indicated that ensemble models, particularly XGBoost and Stacking Ensemble, performed the best in predicting students’ English language performance. These models can efficiently capture complex relationships in educational data. …”
Get full text

A cognitive transmission and deployment strategy for UAV-assisted hybrid RIS relay network by Min Zhang, Hao Cheng, Ruoyu Su, Yin Lu, Shangao Wang, Lu Zhang

“…Integrating reconfigurable intelligent surfaces (RIS) into these networks enhances signal coverage and energy efficiency, but also introduces new challenges in real-time optimization for multi-reflection environments. …”
Get full text

Situation Awareness and Tracking Algorithm for Countering Low-Altitude Swarm Target Threats by Nannan Zhu, Fuli Zhong, Xueyue Lei, Guo Niu, Hongtu Xie, Yue Zhang

“…The system achieves full spatiotemporal coverage without beam scanning or complex resource scheduling, enabling simultaneous detection and tracking of multiple targets. …”
Get full text

Research into the Application of ResNet in Soil: A Review by Wenjie Wu, Lijuan Huo, Gaiqiang Yang, Xin Liu, Hongxia Li

“…ResNet outperforms traditional methods by effectively mitigating the vanishing gradient problem, enabling deeper network training, enhancing feature extraction, and improving accuracy in complex pattern recognition tasks. ResNet, as an efficient deep learning model, can automatically extract features from complex soil image data, enabling accurate soil classification and assessment of soil health. …”
Get full text

Frequency-Adaptive Current Control of a Grid-Connected Inverter Based on Incomplete State Observation Under Severe Grid Conditions by Min Kang, Sung-Dong Kim, Kyeong-Hwa Kim

“…Grid-connected inverter (GCI) plays a crucial role in facilitating stable and efficient power delivery, especially under severe and complex grid conditions. …”
Get full text

Automated identification of soil functional components based on NanoSIMS data by Yahan Hu, Johann Maximilian Zollner, Carmen Höschen, Martin Werner, Steffen A. Schweizer

“…NanoSIMS technique allows to investigate the micro-spatial organization in complex structures in multiple scientific fields such as material science, cosmochemistry, and biogeochemistry. …”
Get full text

Histogram of Polarization Gradient for Target Tracking in Infrared DoFP Polarization Thermal Imaging by Jianguo Yang, Dian Sheng, Weiqi Jin, Li Li

“…Division-of-focal-plane (DoFP) polarization imaging systems have demonstrated considerable promise in target detection and tracking in complex backgrounds. However, existing methods face challenges, including dependence on complex image preprocessing procedures and limited real-time performance. …”
Get full text

Multivariate Machine Learning Model Based on YOLOv8 for Traffic Flow Prediction in Intelligent Transportation Systems by Fukui Wu, Hanzhong Tan, Linfeng Zhang, Shuangbing Wen, Tao Hu

“…Experimental results demonstrate that the proposed GBR-SVR model outperforms comparative methods in short-term traffic flow prediction, particularly under dynamic and complex traffic conditions. In conclusion, by integrating real-time data collection from cameras with the predictive advantages of machine learning models, this algorithm offers a more efficient and sustainable solution for urban traffic management.…”
Get full text

Real-Time Cloth Simulation in Extended Reality: Comparative Study Between Unity Cloth Model and Position-Based Dynamics Model with GPU by Taeheon Kim, Jun Ma, Min Hong

“…The proposed system achieves real-time performance by implementing efficient collision detection and response handling with complex environmental meshes (RoomMesh) and dynamic hand meshes (HandMesh), as well as capsule colliders based on hand skeleton tracking (OVRSkeleton). …”
Get full text

Multi-material 3D printed smart floor tiles with triboelectric energy generation and security monitoring by Shidhin Mappoli, Kalyan Ghosh, Martin Pumera

“…Nylon 6 and carbon/polyvinylidene fluoride (C/PVDF) filaments are selected for positive and negative triboelectric layers, respectively and conductive carbon/polylactic acid (C/PLA) filament was selected for both current collectors and wood/PLA is selected for both top and bottom supporting layers. …”
Get full text

Network access and spectrum allocation in next-generation multi-heterogeneous networks by Xiaoqing Dong, Lianglun Cheng, Gengzhong Zheng, Tao Wang

“…Based on this, two kinds of technical paths to solve the complex network selection and spectrum allocation problem are applied in this article. …”
Get full text

High-Performance Room-Temperature Terahertz Photodetection Using 2-Dimensional Electron Gas Channel Transport by Mengjuan Liu, Yongzhen Li, Ziyang Ren, Yao Wang, Haiming Zhu, Qinxi Qiu, Nasir Ali, He Zhu, Jiaqi Zhu, Weien Lai, Zhiming Huang, Huizhen Wu

“…However, the state-of-the-art detection strategies are still limited by issues such as low sensitivity, narrow response range, slow response speed, complex fabrication techniques, and difficulties in scaling up to large arrays. …”
Get full text

Review on development and utilization of offshore renewable energy: An analysis based on a five-dimensional framework by DU Wenjie, CAI Guotian, Qi Xiaoling, WANG Peng, ZHANG Jixiang

“…However, it also faces challenges such as complex environmental conditions, low reliability, and spatial competition. …”
Get full text

Extraction of thiacloprid from honey using aqueous biphasic systems based on potassium phosphate and ionic liquids by Marić Aleksandar Z., Jovanov Pavle T., Sakač Marijana B., Radić Bojana Đ., Đermanović Branislava B., Gadžurić Slobodan B.

“…Conventional extraction techniques are often complex and time-consuming, highlighting the need for more efficient methods. …”
Get full text