Research progress on characteristics of leakage and diffusion of buried CO2 pipeline by Junpeng ZHANG, Qing MIAO, Shaodong JING, Yongsheng WANG, Xin OUYANG, Zhenning FAN, Haining LIANG, Jian ZHANG

“…The influences of soil geological conditions, soil temperatures, ambient pressures, and wind velocities on the CO2 seepage and diffusion processes in the soil were also examined. Furthermore, the study summarized the currently prevalent modeling methods and physical models utilized for exploring leakage and diffusion of buried CO2 pipelines with full-scale fractures. …”
Get full text

Research on Multi-Scale Spatio-Temporal Graph Convolutional Human Behavior Recognition Method Incorporating Multi-Granularity Features by Yulin Wang, Tao Song, Yichen Yang, Zheng Hong

“…Secondly, a sparse multi-scale adjacency matrix is introduced to solve the bias weighting problem that amplifies the multi-scale spatial domain modeling process under multi-granularity conditions. …”
Get full text

Optimization of SA-Gel Hydrogel Printing Parameters for Extrusion-Based 3D Bioprinting by Weihong Chai, Yalong An, Xingli Wang, Zhe Yang, Qinghua Wei

“…Extrusion-based 3D bioprinting is prevalent in tissue engineering, but enhancing precision is critical as demands for functionality and accuracy escalate. Process parameters (nozzle diameter <i>d</i>, layer height <i>h</i>, printing speed v₁, extrusion speed v₂) significantly influence hydrogel deposition and structure formation. …”
Get full text

The method for calculating phase angle between exciter force of vibration exciter and roller displacement by E. A. Shishkin

“…Introduction. In the process of soil compaction it is important to have information about the current density of the layer, as it enables to quickly adjust the load on the compacted material. …”
Get full text

Analysis of Residual Stresses in Curved Cutouts of Steel Box Girder Transverse Diaphragms by Rongyong Wang, Yongming Xiong, Hao Ni, Yan Liu, Zhuoyi Chen

“…First, a mathematical model of the cutting heat source was established for predicting the temperature field changes during the cutting process of the diaphragm. …”
Get full text

Application of Artificial Neural Networks to Predict the Use of Mobile Learning by University Students by Alejandro Valencia-Arias, Julián Alberto Uribe-Gómez, Evelyn Flores-Siapo, Lucia Palacios-Moya, Ada Gallegos, Ezequiel Martínez Rojas

“…The objective of this study is to assess the intention of Peruvian tertiary education students to employ mobile devices for learning by creating a predictive model that relies on ANNs. Among the main findings, it is evident that the ANN with optimal performance has 10 neurons within its hidden layer. …”
Get full text

CFD investigation and ANN prediction of heat transfer coefficient for fully developed turbulent air flow around double V-baffle turbulators by Abdulaziz Alasiri, H.E. Fawaz

“…A total of 11 hidden layers consisting of 24 neurons each has been used in constructing the ANN, and the training process is optimized using the ADAM algorithm to minimize the loss function. …”
Get full text

APPLICATION OF EXTREME LEARNING MACHINE METHOD ON STOCK CLOSING PRICE FORECASTING PT ANEKA TAMBANG (PERSERO) TBK by Rita Apriliyanti, Neva Satyahadewi, Wirda Andani

“…The ELM method is applied by dividing training data for ELM modeling and testing data used in the forecasting process. …”
Get full text

ECG Signal Detection and Classification of Heart Rhythm Diseases Based on ResNet and LSTM by Qiyang Xie, Xingrui Wang, Hongyu Sun, Yongtao Zhang, Xiang Lu

“…The activation function is changed from the ReLu function to the mish function in this model. Negative information of ECG signals is considered in the training process, which makes the model have more stable and accurate classification ability. …”
Get full text

A double broad learning approach based on variational modal decomposition for Lithium-Ion battery prognostics by Xiaojia Wang, Xinyue Guo, Sheng Xu, Xibin Zhao

“…Second, these two modal data of the feature extraction and modal fusion are inputted into the trained DBL model. Finally, the two modes are connected to the output layer to obtain the predicted result. …”
Get full text

A machine learning neural network architecture for the accelerating universe based modified gravity by Zulqurnain Sabir, Basma Souayeh, Zahraa Zaiour, Alyn Nazal, Mir Waqas Alam, Huda Alfannakh

“…The designed stochastic process for solving the MAUMGM contains log-sigmoid activation function, thirty neurons in the hidden layer, dataset based explicit Runge-Kutta, and Bayesian regularization for the optimization. …”
Get full text

Neural networking-based approach for examining heat transfer and bioconvection in Non-Newtonian fluid with chemical reaction over a stretching sheet by Sohaib Abdal, Talal Taha, Liaqat Ali, Rana Muhammad Zulqarnain, Se-Jin Yook

“…These results contribute to the optimization of fluid flow in nanobiotechnology, chemical engineering, and heat transfer processes, underlining the potential of bioconvection and AI-based modeling for future development.…”
Get full text

Trustworthy Reputation for Federated Learning in O-RAN Using Blockchain and Smart Contracts by Farhana Javed, Josep Mangues-Bafalluy, Engin Zeydan, Luis Blanco

“…We introduce a blockchain-based reputation mechanism that evaluates the accuracy, integrity, and quality of participants&#x2019; model updates within the FL process. Smart contracts automate critical tasks-such as participant registration, model update verification, and reputation scoring-ensuring that data inputs directly influence accountability in a tamper-proof, transparent manner. …”
Get full text

Spatial variability of hydraulic parameters of a cropped soil using horizontal crosshole ground penetrating radar by Lena Lärm, Lutz Weihermüller, Jan Rödder, Jan van derKruk, Harry Vereecken, Anja Klotzsche

“…Finally, we derived spatially resolved SHP, which can be used for 3D process rhizosphere processes and root–soil interaction modeling.…”
Get full text

Optimization of fluoride removal by induced crystallization based on RSM methodology by ZHENG Weicheng, QIN Shulin, WANG Zhongquan, CHEN Xia

“…The process parameters of calcium fluorophosphate induced crystallization for fluoride removal were optimized by RSM, and the model was validated by the experimental results under the optimal process condition. …”
Get full text

EfficientNet-b0-Based 3D Quantification Algorithm for Rectangular Defects in Pipelines by Di Wu, Yong Hong, Jie Wang, Shaojun Wu, Zhihao Zhang, Yizhang Liu

“…This multi-task learning model utilizes a shared feature extraction layer and numerous branching networks to create individual predictions for each task: length, width, and depth. …”
Get full text

The Effect of Drying Methods on Color and Chlorophyll Content of Parsley Leaves by Ilknur Alibas, Mahrukh Parveez Zia, Aslihan Yilmaz

“…The data obtained from the experiments were also modeled using twelve different thin-layer drying equations, and thus the theoretical data were obtained. …”
Get full text

FINE-TUNING RESNET50V2 WITH ADAMW AND ADAPTIVE TRANSFER LEARNING FOR SONGKET CLASSIFICATION IN LOMBOK by Erfan Wahyudi, Bahtiar Imran, Zaeniah, Surni Erniwati, Muh Nasirudin Karim, Zumratul Muahidin

“…During the training process, fine-tuning was applied to the last layer of ResNet50V2, and optimization was performed using AdamW with a learning rate of 0.0001. …”
Get full text

Research on the Sugarcane Stubble Chopping Mechanism of an Ultra-Deep Vertical Rotary Tillage Cutter Based on FEM-SPH Coupling Method by Wang Yang, Huangsheng Lu, Xiong Xiao, Zhengkai Luo, Weilong Dai, Zhiheng Lu

“…The simulation model is used to investigate the rotary tillage process in the stubble field and the stubble chopping mechanism of the UDVRT cutter, identifying the causes of inadequate stubble chopping effectiveness. …”
Get full text

Task reliability evaluation method for autonomous intelligent system based on multi-agent approach by Cheng YANG, Hongxiao LIU, Ying WANG, Jingli YANG

“…MethodsBy constructing a reliability simulation framework based on a double-layer network structure, the separation expression and coupling correlation of the autonomous intelligent system's information propagation process and fault propagation process are realized. …”
Get full text