Titlebook: Cognitive Systems and Information Processing; 8th International Co Fuchun Sun,Qinghu Meng,Bin Fang Conference proceedings 2024 The Editor(s

借喻

Interictal EEG Based Prediction of ACTH Efficacy in Infantile Epileptic Spasmstive drugs for the treatment of IESS disorder, but not effective in avoiding side effects. Therefore, improving the prognostic management of IESS by objectively predicting ACTH response is essential. To address this, this study divides patients into four groups: Normal, Mild, Moderate, and Severe, b

Hay-Fever

CCA-MTFCN: A Robotic Pushing-Grasping Collaborative Method Based on Deep Reinforcement Learninge collisions and result in low efficiency and high failure rates. In practice, the lateral robotic push can separate stacked objects to create collision-free grasp affordances. Inspired by this, we devise a method called CCA-MTFCN based on deep reinforcement learning, which can learn the synergies b

Ballad

overweight

Leg Detection for Socially Assistive Robots: Differentiating Multiple Targets with 2D LiDAR the target person. The lack of identifying information is a drawback of the 2D range data obtained by a LiDAR sensor. Consequently, when applying the traditional technique of clustering 2D laser dots with geometric properties, modern LiDAR-based leg detectors typically fail. To recognize and identi

Interim

Image Compressed Sensing Reconstruction via Deep Image Prior with Feature Space and Texture Informatthe reconstruction image is blurred and lacks texture details. In this paper, we design a dual-path compressed sensing reconstruction network based on image feature space information flow and texture information, which can solve the above problems to a certain extent. The feature space information f

不可比拟

Multi-objective Optimization Energy Management Strategy for Fuel Cell Hybrid Electric Vehicles Durinfort, fuel economy and energy sources durability remains a great challenge for fuel cell hybrid electric vehicles (FCHEV). However, in most existing studies, power source durability is often disregarded, and there is an urgent need to address the trade-off between different targets. In the paper, a

hedonic

Pointwise-Measurement-Based Event-Triggered Synchronization of Reaction-Diffusion Neural Networks). First, pointwise measurement is used to balance system design cost and system performance, and DETM is employed to reduce the utilization of communication resources. Subsequently, the pointwise control is performed at certain specific points to save the number of actuators. In addition, the stabi

urethritis

An Improved Image Super-Resolution Algorithm for Percutaneous Endoscopic Lumbar Discectomy available image super-resolution methods, especially deep learning methods, are mostly trained with open-source life scene datasets which possess limited medical image features. To address this issue, we have proposed an improved SRGAN model for the visual enhancement of percutaneous endoscopic lum

致命

anthropologist

Terminal Sliding Mode Control of DC-DC Buck Converter Based on Disturbance Observer to estimate disturbances with unknown disturbance structure. And a novel terminal sliding function incorporated with disturbance estimation is constructed, which can not only reduce the chattering effectively but also make the state converge to the equilibrium point in a finite time. Then a termina