Titlebook: Intelligence of Things: Technologies and Applications; The Second Internati Nhu-Ngoc Dao,Tran Ngoc Thinh,Ngoc Thanh Nguyen Conference proce

虚弱

Adaptive Conflict-Averse Multi-gradient Descent for Multi-objective Learningti-Gradient Descent (AdaCAGrad) algorithm. Our approach has a unique feature in that it can adjust the learning rate adaptively based on a specific condition, which sets it apart from other existing methods.

SLING

Multicriteria Portfolio Selection with Intuitionistic Fuzzy Goals as a Pseudoconvex Vector Optimizated broadly without special forms on membership and nonmembership functions as in previous works. Computational experiments on real-world scenarios are reported to show the effectiveness of our method.

焦虑

LAITY

Bio-Inspired Clustering: An Ensemble Method for User-Based Collaborative Filteringve the accuracy of recommendations for user-based collaborative filtering. Real-world datasets from MovieLens are used to do experiments that evaluate the effectiveness of the proposed method. Results show significant improvements in accuracy and efficiency based on ., ., and . metrics compared to other baseline methods.

Guileless

Fluctuate

congenial

Research and Develop Solutions to Traffic Data Collection Based on Voice Techniquesic reports from a radio station, processing the data for training ASR models, and experimenting with different ASR models. In essence, this research endeavor strives to generate an enhanced dataset comprising authentic real-world data, leading to superior ASR model accuracy compared to the presently deployed ASR model within UTraffic.

Collected

Reinforcement Learning for Portfolio Selection in the Vietnamese Marketal noise filtering delivers the best portfolio performance across the board, and the Actor-Critic using Kronecker-Factored Trust Region (ACKTR) and the PPO attain dominance in portfolio performance in the training data and testing data respectively.

孤僻

爱得痛了