Evolutionary Reinforcement Learning: A Systematic Review and Future Directions

ASFORMER: LEARNING FROM ADJACENT SCALE

Enhance Volatility of Denormalized Predictions in Time Series Forecasting

Multi-scale reinforced profile for personalized recommendation with deep neural networks in MOOCs

Diffusion Model for Camouflaged Object Detection

A Comprehensive Survey on Deep Learning Techniques in Educational Data Mining

Diffusion Model for Camouflaged Object Detection

Conformal fabrication of functional polymer-derived ceramics thin films

DistVAE: Distributed Variational Autoencoder for sequential recommendation

A Survey on Reinforcement Learning for Recommender Systems

Multi-Domain Feature Representation and Multi-Dimensional Feature Interaction for Person-Job Fit

mTrader: A Multi-Scale Signal Optimization Deep Reinforcement Learning Framework for Financial Trading

Attentive Simple Recurrent Unit Knowledge Tracing Based on Learning Ability

Graphene/SiCN Thin-Film Strain Gauges Fabricated by Direct Writing

Self-Supervised Reinforcement Learning with dual-reward for knowledge-aware recommendation

Additive-Manufactured Platinum Thin-Film Strain Gauges for Structural Microstrain Testing at Elevated Temperatures

ZrB2/SiCN Thin-Film Strain Gauges for In-Situ Strain Detection of Hot Components

Context-aware reinforcement learning for course recommendation

Hierarchical reinforcement learning with dynamic recurrent mechanism for course recommendation

Multi-scale Attention Flow for Probabilistic Time Series Forecasting

TiB2-Modified Polymer-Derived Ceramic SiCN Double-Layer Thin Films Fabricated by Direct Writing for High-Temperature Application

GCNCPR-ACPs: a novel graph convolution network method for ACPs prediction

MBRep: Motif-based representation learning in heterogeneous networks

Relation-aware dynamic attributed graph attention network for stocks recommendation

Temporal Convolution Network Based on Attention for Intelligent Anomaly Detection of Wind Turbine Blades

Kernel-based Hybrid Interpretable Transformer for High-frequency Stock Movement Prediction

Multi-Scaled Attentive Knowledge Tracing

NeuRank: learning to rank with neural networks for drug-target interaction prediction

Adaptive course recommendation in MOOCs

A Deep Segmentation Network of Multi-Scale Feature Fusion Based on Attention Mechanism for IVOCT Lumen Contour

Sample imbalance disease classification model based on association rule feature selection

FHIR Genomics: enabling standardization for precision medicine use cases

A dynamic priority strategy for IoV data scheduling towards key data

Detection of Abnormal Behavior Based on the Scene of Anti-photographing

Urban Traffic Signal Control Based on Multiobjective Joint Optimization

Task-Guided Context-Path Embedding in Temporal Heterogeneous Networks

Prerequisite Relation Learning for Course Concepts Based on Hyperbolic Deep Representation

Patient-Specific Coronary Artery 3D Printing Based on Intravascular Optical Coherence Tomography and Coronary Angiography

Sparse online collaborative filtering with dynamic regularization

A Life Cycle Framework of Green IoT-Based Agriculture and Its Finance, Operation, and Management Issues

Optimized Algorithm for RFID-Based Activity Recognition of the Elderly

Deep Probabilistic Matrix Factorization Framework for Online Collaborative Filtering

Predicting of Associations Between MicroRNA and Human Diseases Based on Multiple Similarities and Arbitrarily-order Proximity Network Embedding

Chinese Character CAPTCHA Recognition and performance estimation via deep neural network

Accurate geometry modeling of vasculatures using implicit fitting with 2D radial basis functions

A novel Gravity-FREAK feature extraction and Gravity-KLT tracking registration algorithm based on iPhone MEMS mobile sensor in mobile environment

Multi-kernel learning for multivariate performance measures optimization

Multiobjective Evolutionary Algorithm Based on Nondominated Sorting and Bidirectional Local Search for Big Data

Cloud computing system risk estimation and service selection approach based on cloud focus theory

A MOEA/D-based multi-objective optimization algorithm for remote medical

Research on Techniques of Multifeatures Extraction for Tongue Image and Its Application in Retrieval

Confidence-weighted bias model for online collaborative filtering

Load balancing prediction method of cloud storage based on analytic hierarchy process and hybrid hierarchical genetic algorithm

An efficient estimation method coping with the capture effect for RFID tags identification and application in remote learning

Medical Cloud Computing Risk Prediction Method Based on Analytic Hierarchy Process and MRHGA-RBF Neural Networking Optimization

Multi-datacenter cloud storage service selection strategy based on AHP and backward cloud generator model

Study of TCM clinical records based on LSA and LDA SHTDT model

Extreme learning machine: a new alternative for measuring heat collection rate and heat loss coefficient of water-in-glass evacuated tube solar water heaters

TCM clinic records data mining approaches based on weighted-LDA and multi-relationship LDA model

Sparse Online Learning for Collaborative Filtering

Deposition of NaGd(WO4)2:Eu3+/Bi3+films on glass substrates and potential applications in white light emitting diodes

Comparative Study on Theoretical and Machine Learning Methods for Acquiring Compressed Liquid Densities of 1,1,1,2,3,3,3-Heptafluoropropane (R227ea) via Song and Mason Equation, Support Vector Machine, and Artificial Neural Networks

Risk identification method for cloud computing safety based on LSA-GCC and LSA-SAM

A network information security risk assessment method based on cloud model

A Study of Risk Evaluation Framework for Cloud Computing System

Distributed storage video cloud of intelligent transportation system based on the backward cloud generator

Application of traffic flow prediction based on back propagation neural network

Service oriented CSOMA model for risk evaluation of cloud computing system

The quality comparison of audio time shift effects using different sub-bands window function and RBF classify

LDA-based model for traditional Chinese medicine diagnosis

The application of LSA in TCM syndromes classification

Voice communication network quality of service estimation and forecast based on cloud model

Fingertip detection method based on curvature

Teaching research of 'embedded systems' combined with CDIO engineering education concept

An encoding and labeling scheme based on continued fraction for dynamic XML

Evolutionary algorithm with PID control system for central air-conditioning energy saving

Optimizing for large time delay systems by BP neural network and evolutionary algorithm improving

A cloud tracing and filtering framework for defensing against denial of service attacks

Improving Central air conditioning energy saving control system through BP Neural Network and Genetic Algorithm

The embedded product testing using cleanroom statistical method

The time-scaling and pitch-shifting algorithms for blackfin DSP