2023年3期
刊物介紹
《CAAI Transactions on Intelligence Technology》是由中國人工智能學(xué)會和重慶理工大學(xué)共同創(chuàng)辦的英文季刊。該刊為中國人工智能學(xué)會會刊，是中國人工智能界創(chuàng)辦的第一本綜合性AI國際學(xué)術(shù)期刊。編委會陣容強(qiáng)大，中國工程院何新貴院士任期刊顧問，李德毅院士任編委會主任，IEEE CIS副主席、意大利米蘭理工大學(xué)Cesare Alippi教授任期刊海外主編。中國人工智能學(xué)會副理事長劉宏教授和王國胤教授分別擔(dān)任期刊主編與編委會副主任。《CAAI Transactions on Intelligence Technology》（CAAI TIT）是發(fā)表人工智能領(lǐng)域技術(shù)創(chuàng)新成果的高水平研究型國際學(xué)術(shù)期刊，面向全球公開發(fā)行。重點(diǎn)刊登機(jī)器感知與人機(jī)交互、智能信息處理、網(wǎng)絡(luò)智能與移動計(jì)算、智能控制與決策、機(jī)器人與智能系統(tǒng)等領(lǐng)域的原創(chuàng)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