2022年2期
刊物介紹
《CAAI Transactions on Intelligence Technology》是由中國人工智能學(xué)會(huì)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(huì)會(huì)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(huì)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(huì)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(huì)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(huì)副主任?！禖AAI 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(dòng)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
- A comprehensive review on deep learning approaches in wind forecasting applications
- Bayesian estimation‐based sentiment word embedding model for sentiment analysis
- Multi‐gradient‐direction based deep learning model for arecanut disease identification
- Target‐driven visual navigation in indoor scenes using reinforcement learning and imitation learning
- A novel algorithm for distance measurement using stereo camera
- Learning discriminative representation with global and fine‐grained features for cross‐view gait recognition
- Deep image retrieval using artificial neural network interpolation and indexing based on similarity measurement
- Capturing semantic features to improve Chinese event detection
- Network anomaly detection using deep learning techniques
- Intelligent fitting global real-time task scheduling strategy for high-performance multi-core systems
- Demand side management for solving environment constrained economic dispatch of a microgrid system using hybrid MGWOSCACSA algorithm
- Improving sentence simplification model with ordered neurons network
- Efficient computation of Hash Hirschberg protein alignment utilizing hyper threading multi‐core sharing technology
- Wavelet method optimised by ant colony algorithm used for extracting stable and unstable signals in intelligent substations
- Feature extraction of partial discharge in low‐temperature composite insulation based on VMD‐MSE‐IF
- Matrix‐based method for solving decision domains of neighbourhood multigranulation decision‐theoretic rough sets