2023年3期
刊物介绍
《CAAI Transactions on Intelligence Technology》是由中国人工智能学会和重庆理工大学共同创办的英文季刊。该刊为中国人工智能学会会刊，是中国人工智能界创办的第一本综合性AI国际学术期刊。编委会阵容强大，中国工程院何新贵院士任期刊顾问，李德毅院士任编委会主任，IEEE CIS副主席、意大利米兰理工大学Cesare Alippi教授任期刊海外主编。中国人工智能学会副理事长刘宏教授和王国胤教授分别担任期刊主编与编委会副主任。《CAAI Transactions on Intelligence Technology》（CAAI TIT）是发表人工智能领域技术创新成果的高水平研究型国际学术期刊，面向全球公开发行。重点刊登机器感知与人机交互、智能信息处理、网络智能与移动计算、智能控制与决策、机器人与智能系统等领域的原创性成果。
CAAI Transactions on Intelligence Technology
REGULAR ARTICLES
- Thermoelectric energy harvesting for internet of things devices using machine learning: A review
- Forecasting patient demand at urgent care clinics using explainable machine learning
- An embedded vertical‐federated feature selection algorithm based on particle swarm optimisation
- D2PAM: Epileptic seizures prediction using adversarial deep dual patch attention mechanism
- Multi‐granularity re‐ranking for visible‐infrared person re‐identification
- A structural developmental neural network with information saturation for continual unsupervised learning
- Novel multi‐domain attention for abstractive summarisation
- Multisource localization based on angle distribution of time–frequency points using an FOA microphone
- Leveraging hierarchical semantic‐emotional memory in emotional conversation generation
- Predicting recurrence in osteosarcoma via a quantitative histological image classifier derived from tumour nuclear morphological features
- Scale adaptive fitness evaluation‐based particle swarm optimisation for hyperparameter and architecture optimisation in neural networks and deep learning
- Fuzzy coloured petri nets‐based method to analyse and verify the functionality of software
- History dynamics of unified empire in China(770 BC to 476 BC)
- Overlapping community‐based particle swarm optimization algorithm for influence maximization in social networks
- Deep learning framework for multi‐round service bundle recommendation in iterative mashup development
- Short‐time wind speed prediction based on Legendre multi‐wavelet neural network
- Anti‐noise diesel engine misfire diagnosis using a multi‐scale CNN‐LSTM neural network with denoising module
- Hawk‐eye‐inspired perception algorithm of stereo vision for obtaining orchard 3D point cloud navigation map
- Kernel extreme learning machine‐based general solution to forward kinematics of parallel robots
- Fault diagnosis of rolling bearings with noise signal based on modified kernel principal component analysis and DC-ResNet
- Wafer map defect patterns classification based on a lightweight network and data augmentation
- Target tracking method of Siamese networks based on the broad learning system
- Multi‐objective particle swarm optimisation of complex product change plan considering service performance
- SRAFE: Siamese Regression Aesthetic Fusion Evaluation for Chinese Calligraphic Copy
- A federated learning scheme meets dynamic differential privacy
SPECIAL SECTION : RECURRENT DYNAMIC NEURAL NETWORKS: THEORY AND APPLICATIONS
- Guest Editorial: Special issue on recurrent dynamic neural networks: Theory and applications
- Weakly supervised machine learning
- Deep learning: Applications, architectures, models, tools, and frameworks: A comprehensive survey
- An advanced discrete‐time RNN for handling discrete time‐varying matrix inversion: Form model design to disturbance‐suppression analysis
- Recursive recurrent neural network: A novel model for manipulator control with different levels of physical constraints
- The dynamic relaxation form finding method aided with advanced recurrent neural network
- The dynamic relaxation form finding method aided with advanced recurrent neural network
- Iteration dependent interval based open‐closed‐loop iterative learning control for time varying systems with vector relative degree
- A zeroing neurodynamics‐based location method for nodes in underwater acoustic sensor network
- An activated variable parameter gradient-based neural network for time-variant constrained quadratic programming and its applications