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Quantum Machine Learning Representation Learning Swarm Intelligence Transfer Learning Human-Machine Systems (HMS) Assistive Technology Augmented Cognition Brain-based Information Communications Design Methods Entertainment Engineering Human Factors Human Performance Modeling Human-centered Learning Human-Computer Interact...
minimizing installation time and effort. This flow sensor is ideal for applications such as cooling of processing machines (casting machines), beverage management in filler machines, drainage management, cooling of welding guns, PET bottle molding machine cooling, and coolant management. Come find out...
OTPose: Occlusion-Aware Transformer for Pose Estimation in Sparsely-Labeled Videos. (SMC 2022) videodeep-learningpytorchtransformerhuman-pose-estimationsmcpose-estimationposetrack2d-pose-estimation UpdatedNov 29, 2022 Python Load more… Improve this page ...
development of these systems pose important challenges to the machine learning community as they typically involve high-dimensional, multimodal streams of data characterised by a large variability; where data portions may be missing or labels can be unreliable. ...
in person at the Crowne Plaza Hotel, Knoxville, Tennessee, USA. The conference theme is “Peering into the future: Accelerating science and engineering discoveries through advanced technologies, integrated research infrastructures for experiments, machine learning/AI, and modeling and simulation”. This ...
RDMA is widely used in data-intensive and compute-intensive scenarios and is suitable for multiple fields, such as high-performance computing, machine learning, data centers, and massive storage. In the past, RDMA can be used only together with network cards and switches in specific data center...
classiccars engage the senses in a way that modern vehicles can’t match. There’s a sense of connection and camaraderie between driver and machine that transcends mere transportation—a bond forged on open roads and winding highways, where every journey is an adventure and every car has a ...
接着,使用SMC(滑模控制)设计控制器来实现运动跟踪和力矩控制。在滑模控制器中,通过引入滑模面和滑模控制律,使系统对外部扰动具有鲁棒性。通过对机器人的动力学方程进行求解,结合滑模控制器,可以实现对机器人的逆动力学问题求解和控制。这种方法能够提高机器人运动的精度和稳定性,适用于各种工业应用和机器人操作任务。
Least Square Support Vector Machine (LSSVM) Least Square Twin Support Vector Machine (LSTSVM) Linex Support Vector Machine (Linex-SVM) Pinball Support Vector Machine (Pin-SVM) Pinball General Twin Support Vector Machine (Pin-GTSVM): The datasets and details of the datasets are given in the ...