|
|
|
|
|
Reenu Mohandas, Mark Southern, Eoin O?Connell and Martin Hayes
Deep learning based visual cognition has greatly improved the accuracy of defect detection, reducing processing times and increasing product throughput across a variety of manufacturing use cases. There is however a continuing need for rigorous procedure...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yiming Chen and Shuang Liang
In the field of education, cognitive diagnosis is crucial for achieving personalized learning. The widely adopted DINA (Deterministic Inputs, Noisy And gate) model uncovers students? mastery of essential skills necessary to answer questions correctly. Ho...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ryszard Dindorf
This article presents the conceptual design, operation principle, dynamic modeling, and simulation results of a discrete incremental hydraulic positioning system (DIHPS) intended for use in high-precision, heavy-load industrial automation solutions. An o...
ver más
|
|
|
|
|
|
|
|
|
|
|
Sijia Jia, Zhenkai Zhang, Qi Dang, Chen Song and Chao Yang
Compared with traditional wings equipped with conventional control surfaces, variable-camber morphing wings have become a hot research topic in the field of aviation due to their ability to maintain a smooth and continuous overall shape while ensuring ex...
ver más
|
|
|
|
|
|
|
|
|
|
|
Esmaeil Mohammadi Dehcheshmeh, Parya Rashed, Vahid Broujerdian, Ayoub Shakouri and Farhad Aslani
This paper summarizes a study focused on evaluating the post-fire performance of steel Intermediate Moment Frames (IMFs) following earthquakes. To this aim, archetypes comprising 3-bay IMFs with three different heights were seismically designed, and thei...
ver más
|
|
|
|
|
|
|
|
|
|
|
Wenyu Cao, Benbo Sun and Pengxiao Wang
Rapidly developed deep learning methods, widely used in various fields of civil engineering, have provided an efficient option to reduce the computational costs and improve the predictive capabilities. However, it should be acknowledged that the applicat...
ver más
|
|
|
|
|
|
|
|
|
|
|
Giuseppe Vizzari and Thomas Cecconello
Pedestrian simulation is a consolidated but still lively area of research. State of the art models mostly take an agent-based perspective, in which pedestrian decisions are made according to a manually defined model. Reinforcement learning (RL), on the o...
ver más
|
|
|
|
|
|
|
|
|
|
|
Wenming Chen, Lianglong Hu, Gongpu Wang, Jianning Yuan, Guocheng Bao, Haiyang Shen, Wen Wu and Zicheng Yin
In this study, a 4UM-120D electric leafy vegetable harvester was employed as the research object. An automatic control system was created to maintain the cutter?s height above the ground within ±2% of the desired value. The intention was to reduce the op...
ver más
|
|
|
|
|
|
|
|
|
|
|
Chouaib El Hachimi, Salwa Belaqziz, Saïd Khabba, Badreddine Sebbar, Driss Dhiba and Abdelghani Chehbouni
Smart management of weather data is an essential step toward implementing sustainability and precision in agriculture. It represents an important input for numerous tasks, such as crop growth, development, yield, and irrigation scheduling, to name a few....
ver más
|
|
|
|
|
|
|
|
|
|
|
Karim Abu Salem, Giuseppe Palaia and Alessandro Antonio Quarta
The combination of new airframes with electric and hybrid-electric propulsion is a potential solution to decarbonize aviation. In this context, recent studies have proven that the box-wing airframe, if integrated on a hybrid-electric aircraft belonging t...
ver más
|
|
|
|
|
|