T. H. An, the proposed inertial DC algorithm defines trial points whose sequence of functional values is not necessary monotonically decreasing, a property that proves useful to prevent the algorithm from converging to a critical point that is not d-stationary. Moreover, our method can handle ...
3715 A Learning Resource Recommendation Algorithm Based on Online Learning Behavior 6868 A LEARNING-BASED MULTI-NODE FUSION POSITIONING METHOD USING WEARABLE INERTIAL SENSORS 3180 A LEARNING-BASED SYSTEM FOR AUTOMATIC INTENTIONAL NON-ADHERENCE DETECTION FROM DOSING VIDEOS 3481 A Lightweight Change Detection...
Considering this, the reviewed papers in this research are categorized according to applied algorithm for navigation. Some of the illustrated algorithms in Table 1 are most well-known which are covered below, while some others are used rarely. However, a brief introduction on the concept of each...
Two distinct algorithm types (deterministic and fully stochastic) were presented for amoebot model type. Future work considers several improvements such as generalising the amoebot model to three-dimensional space, extending the amoebot model to incorporate energy costs, developing a general framework ...
erlang-dkg: Distributed key generation for Erlang (using pairing based cryptography). erlang-crypto_rsassa_pss: RSASSA-PSS Public Key Cryptographic Signature Algorithm for Erlang and Elixir. cinched: Cinched is a microservice to provide cryptographic and key management operations. cryptographic: Erlang...
In robot manipulators, the PSO method improves the optimization control utilized to regulate the DC motor parameter14. The sophisticated technique PSO mutation algorithm is utilized to address the industrial robot handler optimization problem15,16. The reverse dynamic control of the robot manipulator ...
Core ML provides a unified representation for all models. Your app uses Core ML APIs and user data to make predictions, and to train or fine-tune models, all on the user's device. A model is the result of applying a machine learning algorithm to a set of training data. You use a ...
Li and Mourikis [112] improved MSCKF, by proposing a real-time EKF-based VIO algorithm, MSCKF2.0. This algorithm can achieve consistent estimation by ensuring correct observability properties of its linearized system model and performing online estimation of the camera-to-inertial measurement unit ...
The objective of active suspension systems can vary based on the objective of the control algorithm devised. There are two main categories of suspension systems with controllers, known as semi-active controllers and active controllers. Both of the mentioned concepts have been greatly contributed to ...
[7] presented B{GOP}, a centralized coverage algorithm for WSNs. The algorithm proposes sensor candidate and avoids double-coverage depending on the coverage status of the corresponding field. In [8], Wang et al. presented a protocol that can dynamically configure a network to achieve guaranteed...