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 conve
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...
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...
We use the gradient descent algorithm to guide the weight update. In this algorithm, the target weights are calculated in software based on the gradients of the cost function: $${R}_{n}:={R}_{n}-\alpha \frac{\partial L}{\partial {R}_{n}}$$ (3) where the sign “:=” ...
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 ...
[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...
Ref.Optimization algorithm employedDSM techniques employedObjective functionConstraintsDecision variables [46] Dynamic programming • Direct load control • Load curtailment • Minimization of the total load reduction and ensuring that the capacity of electricity supply will balance the load consumption in...