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Showing 20 of 23,220 academic articles

Research on scheduling strategy for automated storage and retrieval system

Sai Geng, Lei Wang, Dongdong Li, Benchi Jiang et al. • CAAI Transactions on Intelligence Technology (2022)

Abstract With the continuous and rapid growth of transport demand, scheduling strategy of warehouse has become a key issue in the field of logistics transportation. The structural differences of the warehouse, the automated storage and retr...

DOAJ Open Access (DOAJ) DOI: 10.1049/cit2.12066

A machine learning approach predicts future risk to suicidal ideation from social media data

Arunima Roy, Katerina Nikolitch, Rachel McGinn, Safiya Jinah et al. • npj Digital Medicine (2020)

Abstract Machine learning analysis of social media data represents a promising way to capture longitudinal environmental influences contributing to individual risk for suicidal thoughts and behaviors. Our objective was to generate an algori...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41746-020-0287-6

A Scalo Gram-Based CNN Ensemble Method With Density-Aware SMOTE Oversampling for Improving Bearing Fault Diagnosis

Muhammad Irfan, Zohaib Mushtaq, Nabeel Ahmed Khan, Salim Nasar Faraj Mursal et al. • IEEE Access (2023)

Machine learning (ML) based bearing fault detection is an emerging application of Artificial Intelligence (AI) that has proven its utility in effectively classifying various faults for timely measures. There are myriad studies dedicated to ...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2023.3332243

Investigations on Rockmass Structure Characteristics and Mechanical Mining Efficiency and Economics in the Jinchuan No. 3 Mine With Hard Rock

Jian Zhao, Dan Huang, Daming Zhu, Mingyue Wang et al. • Advances in Civil Engineering (2026)

Geomechanical characterization is crucial for assessing the feasibility of the mechanical construction method in geotechnical engineering, which is a construction method that neither uses explosives nor involves blasting operations. But for...

DOAJ Open Access (DOAJ) DOI: 10.1155/adce/2598677

Artificial Intelligence for Clinical Trial Design

Stefan Harrer, Pratik P. Shah, Bhavna Josephine Antony, Jianying Hu • Trends in Pharmacological Sciences (2019)

Clinical trials consume the latter half of the 10 to 15 year, 1.5-2.0 billion USD, development cycle for bringing a single new drug to market. Hence, a failed trial sinks not only the investment into the trial itself but also the preclinica...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1016/j.tips.2019.05.005

Artificial Intelligence Review

Amal Kilani, Ahmed Ben Hamida, Habib Hamam • IGI Global eBooks (2017)

In this paper, we present a profound literature review of the Artificial Intelligence (AI). After defining it, we briefly cover its history and enumerate its principal fields of application. We name for example information system, commerce,...

OPENALEX DOI: https://doi.org/10.4018/978-1-5225-2255-3.ch010

Artificial intelligence in reproductive medicine

Renjie Wang, Wei Dong Pan, Lei Jin, Yuehan Li et al. • Reproduction (2019)

Artificial intelligence (AI) has experienced rapid growth over the past few years, moving from the experimental to the implementation phase in various fields, including medicine. Advances in learning algorithms and theories, the availabilit...

OPENALEX cc-by DOI: https://doi.org/10.1530/rep-18-0523 PMC: 6733338

Artificial Intelligence in Meta-optics

Mu Ku Chen, Xiaoyuan Liu, Yanni Sun, Din Ping Tsai • Chemical Reviews (2022)

Recent years have witnessed promising artificial intelligence (AI) applications in many disciplines, including optics, engineering, medicine, economics, and education. In particular, the synergy of AI and meta-optics has greatly benefited b...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1021/acs.chemrev.2c00012 PMC: 9562283

Artificial Intelligence for Intraoperative Guidance

Amin Madani, Babak Namazi, Maria S. Altieri, Daniel A. Hashimoto et al. • Annals of Surgery (2020)

OBJECTIVE: The aim of this study was to develop and evaluate the performance of artificial intelligence (AI) models that can identify safe and dangerous zones of dissection, and anatomical landmarks during laparoscopic cholecystectomy (LC)....

OPENALEX Open Access DOI: https://doi.org/10.1097/sla.0000000000004594 PMC: 8186165

Towards Transparency by Design for Artificial Intelligence

Heike Felzmann, Eduard Fosch‐Villaronga, Christoph Lutz, Aurelia Tamò‐Larrieux • Science and Engineering Ethics (2020)

In this article, we develop the concept of Transparency by Design that serves as practical guidance in helping promote the beneficial functions of transparency while mitigating its challenges in automated-decision making (ADM) environments....

OPENALEX cc-by DOI: https://doi.org/10.1007/s11948-020-00276-4 PMC: 7755865

Artificial intelligence in plant breeding

Muhammad Amjad Farooq, Shang Gao, Muhammad Adeel Hassan, Zhangping Huang et al. • Trends in Genetics (2024)

Harnessing cutting-edge technologies to enhance crop productivity is a pivotal goal in modern plant breeding. Artificial intelligence (AI) is renowned for its prowess in big data analysis and pattern recognition, and is revolutionizing nume...

OPENALEX cc-by-nc DOI: https://doi.org/10.1016/j.tig.2024.07.001