Predicting carbon market risk using information from macroeconomic fundamentals

von Jiao, Lei
Veröffentlicht in Energy economics (2018)

Optimization Strategy of Database Service Resources Based on Cloud Environment

von Yao, Lei
Veröffentlicht in International Conference on Applications and Techniques in Cyber Intelligence (7. : 2019 : Huainan) International Conference on Applications and Techniques in Cyber Intelligence ATCI 2019 ; Set 1 (2020)

Konsumgütermarkt und Konsumentenverhalten in Shanghai seit 1990 : am Beispiel eines deutschen Kosmetikunternehmens

von Yao, Lei
Veröffentlicht 1999

Measuring the Novelty of Natural Language Text using the Conjunctive Clauses of a Tsetlin Machine Text Classifier

von Bhattarai, Bimal
Veröffentlicht in ICAART (13. : 2021 : Online) ICAART 2021 ; Volume 2 (2021)

A Tsetlin Machine Framework for Universal Outlier and Novelty Detection

von Bhattarai, Bimal
Veröffentlicht in ICAART (13. : 2021 : Online) Agents and artificial intelligence (2022)

Object Migration Automata for Non-equal Partitioning Problems with Known Partition Sizes

von Omslandseter, Rebekka Olsson
Veröffentlicht in International Conference on Artificial Intelligence Applications and Innovations (17. : 2021 : Chersonissos; Online) Artificial intelligence applications and innovations (2021)

A Learning-Automata Based Solution for Non-equal Partitioning: Partitions with Common GCD Sizes

von Omslandseter, Rebekka Olsson
Veröffentlicht in IEA/AIE (34. : 2021 : Online) Advances and trends in artificial intelligence ; Part 2: From theory to practice (2021)

yi xue chang yong shu ju shou ce

von yao lei
Veröffentlicht 19885

xian qin rong zu yan jiu

von yao lei
Veröffentlicht 20168

Jian shui jin guan han jian zhui he

Veröffentlicht 2022

An Interpretable Word Sense Classifier for Human Explainable Chatbot

von Yadav, Rohan Kumar
Veröffentlicht in ICAART (13. : 2021 : Online) Agents and artificial intelligence (2022)

Interpretability in Word Sense Disambiguation using Tsetlin Machine

von Yadav, Rohan Kumar
Veröffentlicht in ICAART (13. : 2021 : Online) ICAART 2021 ; Volume 2 (2021)

User Grouping and Power Allocation in NOMA Systems: A Reinforcement Learning-Based

von Omslandseter, Rebekka Olsson
Veröffentlicht in IEA/AIE (33. : 2020 : Kitakyūshū) Trends in artificial intelligence theory and applications (2020)

The Transfer of Chinese Textile Industry under the Background of "Belt and Road"

von Xin, Hong
Veröffentlicht in Textile Bioengineering and Informatics Symposium (13. : 2020 : Online) Combatting COVID-19 pandemic with science and technology innovations (2021)

Ming shan xian sheng cun ji si juan

von Yao, Lai
Veröffentlicht in Ming bie ji cong kan ; 4: Di si ce (201606)

Empirical Study on the Influence Factors of the Development of China’s Trade in Producer Services

von Zhang, Qianying
Veröffentlicht in International Conference on Decision Science and Management (2. : 2019 : Changsha) Recent trends in decision science and management (2020)

The Research on the Impact of *Trade Facilitation" on China's Textile and Apparel Exports

von Tian, Ying
Veröffentlicht in International Conference on Decision Science and Management (2. : 2019 : Changsha) Recent trends in decision science and management (2020)

The Hierarchical Discrete Learning Automaton Suitable for Environments with Many Actions and High Accuracy Requirements

von Omslandseter, Rebekka Olsson
Veröffentlicht in AI (Veranstaltung : 34. : 2021 : Sydney; online) AI 2021 (2022)

Analysis of Industry Relevance and Industry Spillover Effect of Textile and Garment Industry in Jiangsu Province

von Shao, Peng-Fei
Veröffentlicht in Textile Bioengineering and Informatics Symposium (13. : 2020 : Online) Combatting COVID-19 pandemic with science and technology innovations (2021)

A Comparative Study of Corporate Social Responsibility Between Overseas Investment and Non-Overseas Investment in the Manufacturing Industry

von Shao, Peng-Fei
Veröffentlicht in Textile Bioengineering and Informatics Symposium (14. : 2021 : Online) Advanced material, smart wearables, industry 4.0 (2022)