IEDSFAN: information enhancement and dynamic-static fusion attention network for traffic flow forecasting by Lianfei Yu, Ziling Wang, Wenxi Yang, Zhijian Qu, Chongguang Ren

“…Finally, we generate adaptive parameters to solve the problem that shared parameters cannot learn multiple traffic patterns, and enhance the expression of sequence information through the peak flag module. …”
Get full text

Insights on electric vehicle adoption: Does attitude play a mediating role? by Imran Ali, Mohammad Naushad

“…Vehicles are classified as a mobile source of pollution worldwide. This problem is compounded in countries like India, where the population is enormous, and the number of automobiles increases quickly. …”
Get full text

River Surface Space–Time Image Velocimetry Based on Dual-Channel Residual Network by Ling Gao, Zhen Zhang, Lin Chen, Huabao Li

“…However, environmental interference often blurs weak tracer textures in STIs, limiting the accuracy of traditional MOT detection algorithms based on shallow features like images’ gray gradient. To solve this problem, we propose a deep learning-based MOT detection model using a dual-channel ResNet (DCResNet). …”
Get full text

An Efficient Evolutionary Neural Architecture Search Algorithm Without Training by Yang An, Changsheng Zhang, Jintao Shao, Yuxiao Yan, Baiqing Sun

“…Neural Architecture Search (NAS) has made significant advancements in autonomously constructing high-performance network architectures, capturing extensive attention. …”
Get full text

About the informatization object functioning stability assessment in conditions of computer attacks at exponential distribution law of time before the enemy’s impact by V. A. Voevodin, I. V. Vinogradov, D. I. Volkov

“…Application of the method of discrete Markov processes to solve the problem of assessing the stability of IO, which differs from the known approaches in that to describe the state of IO, the concept of "non-returnable state" is introduced, into which the system can move due to the exhaustion of the resource allocated to restore its readiness after a successful CA.Result. …”
Get full text

Multifactor models of creativity: structural and dynamic approaches in psychological assessment by V. G. Gryazeva-Dobshinskaya, E. I. Koltunov, S. Yu. Korobova, V. A. Glukhova, E. S. Naboichenko

“…The article addresses the problem of diagnosing creativity as a complex and multifactor construct. …”
Get full text

Path Planning of Unmanned Autonomous Helicopter Based on Human-Computer Hybrid Augmented Intelligence by Zengliang Han, Mou Chen, Tongle Zhou, Zhiqiang Nie, Qingxian Wu

“…Unmanned autonomous helicopter (UAH) path planning problem is an important component of the UAH mission planning system. …”
Get full text

Research on Influencing Factors of Promotion of Prefabricated Housing in Hainan Province Based on BPNN–DEMATEL by Hongbing Li, Wanjun Yang, Liang Fan, Qiqi Shao

“…Firstly, the index system of influencing factors was constructed based on grounded theory; then, the key influencing factors were revealed through an expert survey and a BPNN-optimized DEMATEL model; finally, the evolution path of key influencing factors was explored. …”
Get full text

Event-Triggered <italic>H_&#x221E;</italic> Consensus of Leader-Follower Multi-Agent Systems Under ADT Switching Topologies by Cheng Fengmin, Liu Liwei, Guo Huina, Fan Yan

“…This paper is concerned with the <inline-formula> <tex-math notation="LaTeX">${\mathcal {H}}_{\infty }$ </tex-math></inline-formula> control problem of leader-follower multi-agent systems under switching topology. …”
Get full text

Neural Machine Translation in Electrical Engineering With Cross-Layer Information Fusion and Multiple Positional Mapping by Zhenyu Zhang, Yuan Chen, Juwei Zhang

“…This method integrates the Long Short-Term Memory (LSTM) and the attention mechanism to construct a cross-layer information compensation architecture consisting of a cross-layer feature propagation module and a feature fusion module to compensate for the attenuation of cross-layer semantic information and position information. …”
Get full text

How Valid Is Bandura’s Social Cognitive Theory to Explain Physical Activity Behavior? by Viktoria Sophie Egele, Eric Klopp, Robin Stark

“…SCT was modeled using a structural equation model with latent variables. (3) Results: The results showed the very good fit of the structural model, indicating that the theoretically stated relations between the constructs in SCT seem to be corroborated, despite some paths seeming to be more important than others. (4) Conclusions: The use of SCT to explain and predict behavior can be seen as justified, even though it once again appears that some aspects (i.e., self-efficacy) are more crucial than others.…”
Get full text

Trajectory Planning Based on Screw Theory with Consideration of the Optimal Berth Position for a Space Robot by Yong Wang, Ying Liao, Kejie Gong

“…Then, objective functions are constructed. Finally, a genetic algorithm with a modified mutation operator is used to solve this optimization problem. …”
Get full text

An innovative high-gain multi-stage non-isolated step-up converter controlled by optimal interval type-2 fuzzy system based maximum power point tracking by Ali Darvish Falehi, Ebrahim Salary

“…Due to the multi-objective nature of the control problem, multi-objective grey wolf optimizer (MOGWO) is used to optimally tune the controller parameters. …”
Get full text

Multi-Scenario Robust Distributed Permutation Flow Shop Scheduling Based on DDQN by Shilong Guo, Ming Chen

“…In order to address the Distributed Displacement Flow Shop Scheduling Problem (DPFSP) with uncertain processing times in real production environments, Plant Simulation is employed to construct a simulation model for the MSRDPFSP. …”
Get full text

Virtual-Integrated Admittance Control Method of Continuum Robot for Capturing Non-Cooperative Space Targets by Lihua Wang, Zezhou Sun, Yaobing Wang, Jie Wang, Chuliang Yan

“…This study first develops a mathematical model of the CR and addresses the inverse dynamics problem. Subsequently, the VIAC method is introduced to regulate contact force and improve grasping performance. …”
Get full text

Investigation of an Optimized Linear Regression Model with Nonlinear Error Compensation for Tool Wear Prediction by Lihua Shen, Baorui Du, He Fan, Hailong Yang

“…To solve the problem of insufficient accuracy in tool wear process modeling and Remaining Useful Life (RUL) estimation, this study proposes a two-stage prediction method. …”
Get full text

A Novel Surface Subsidence Prediction Model Based on Stochastic Medium Theory for Inclined Coal Seam Mining by Weitao Yan, Junting Guo, Shaoge Yan, Yueguan Yan, Wei Tang

“…Finally, the inclined coal seam mining subsidence prediction model is constructed under the surface rectangular coordinate system. …”
Get full text

Multi-field coupled simulation and structural design of piezoelectric synthetic jet actuator by Lei Song, Huan-Zhen Huang, Wei Wang, Jian Fang, Li-Ping Zhang

“…In this paper, a coupled flow-solid-piezoelectric multiphysics field simulation model is first constructed, which solves the problem that the previous simulation process was not efficient and accurate enough. …”
Get full text

A Real-Time Fault Diagnosis Method for Multi-Source Heterogeneous Information Fusion Based on Two-Level Transfer Learning by Danmin Chen, Zhiqiang Zhang, Funa Zhou, Chaoge Wang

“…This method aims to fully utilize multi-source heterogeneous information and external domain data, construct a two-level transfer mechanism to fuse multi-source heterogeneous information, avoid convolutional operations, and achieve real-time fault diagnosis. …”
Get full text

Analyzing Diagnostic Reasoning of Vision–Language Models via Zero-Shot Chain-of-Thought Prompting in Medical Visual Question Answering by Fatema Tuj Johora Faria, Laith H. Baniata, Ahyoung Choi, Sangwoo Kang

“…By encouraging the model to break down the problem, analyze both visual and contextual cues, and construct a stepwise explanation, the approach makes the reasoning process explicit and clinically meaningful. …”
Get full text