Exploring the Intersection of AI and Human Resources Management / by Muhammad Rafiq, 1987-, editor 655953, Muhammad Farrukh Iqbal, 1988-, editor 655954, Rizwan Mushtaq, 1985-, editor 655955, Omkar Dastane, 1983-, editor 655956, IGI Global (Online service) 631983

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Artificial Intelligence for Retrosynthesis Prediction by Jiang, Yinjie, Yu, Yemin, Kong, Ming, Mei, Yu, Yuan, Luotian, Huang, Zhengxing, Kuang, Kun, Wang, Zhihua, Yao, Huaxiu, Zou, James, Coley, Connor W, Wei, Ying

“…In recent years, there has been a dramatic rise in interest in retrosynthesis prediction with artificial intelligence (AI) techniques. Unlike conventional retrosynthesis prediction performed by chemists and by rule-based expert systems, AI-driven retrosynthesis prediction automatically learns chemistry knowledge from off-the-shelf experimental datasets to predict reactions and retrosynthesis routes. …”
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Artificial intelligence, rationalization, and the limits of control in the public sector: the case of tax policy optimization by Mökander, J, Schroeder, R

“…In this paper, we first frame the use of artificial intelligence (AI) systems in the public sector as a continuation and intensification of long-standing rationalization and bureaucratization processes. …”

Application of artificial intelligence based on state grid ESG platform in clean energy scheduling optimization by Zhu, Tianyi, Guan, Xin, Chen, Chuan, Cao, Xiaojing, Wang, Caimeng, Liao, Jiarong

“…To address this issue, this work proposes an artificial intelligence (AI) empowered method based on the Environmental, Social, and Governance (ESG) big data platform, focusing on multi-objective scheduling optimization for clean energy. …”
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Vision enhancement using artificial intelligence techniques by Yu, Xiaohan

“…This dissertation uses the concept of artificial intelligence and deep learning, with a focus on removing rainwater from heavy rain videos based on a former research published on CVPR in 2018 carried out by my supervisor. …”
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Towards explainable artificial intelligence in the banking sector by Jew, Clarissa Bella

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Deep reinforcement learning for optimal resource allocation by Ng, Steffi Si Yu

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Neural combinatorial optimization: from routing to integer programming by Wu, Yaoxin

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Editorial : special issue on “artificial intelligence for future wireless communications and networking” by Tang, Jianhua, Wang, Jian, Feng, Gang, Quek, Tony Q. S.

“…Recent breakthroughs in Artificial Intelligence (AI) and Machine Learning (ML), including deep neural networks, the availability of huge amount of data, and powerful computing platforms are providing us with technologies to perform tasks that once seemed impossible. …”
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A blockchain-based deep learning-empowered optimal auction platform by Li, Zhaonian

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An advanced scheme based on Artificial Intelligence technique for solving nonlinear Riccati systems by Admon, Mohd Rashid, Senu, Norazak, Ahmadian, Ali, Abdul Majid, Zanariah

“…Recently, one artificial intelligence technique, known as artificial neural network (ANN), has brought advanced development to the arena of mathematical research. …”

Recent Developments in Machine and Human Intelligence / by Rajest, S. Suman, 1988-, editor 656392, Singh, Bhopendra, 1974-, editor 656393, Obaid, Ahmed J., 1983-, editor 656394, Regin, R., 1985-, editor 656395, Chinnusamy, Karthikeyan, 1973-, 656396, IGI Global Scientific Publishing (Online service) 655412

“…Recent developments in artificial intelligence (AI) have qualified for the development of precision approaches that consider individual differences, allowing, for example, the establishment of individualized training, preparation, and recuperation programs optimal for an individual’s cognitive and biological phenotype. …”
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BOR2G: Building Optimal Regularised Reconstructions with GPUs (in cubes) by Tanner, M

"Come to us first": Centering Community Organizations in Artificial Intelligence for Social Good Partnerships by Lin, Hongjin, Karusala, Naveena, Okolo, Chinasa, D'Ignazio, Catherine, Gajos, Krzysztof

“…Artificial Intelligence for Social Good (AI4SG) has emerged as a growing body of research and practice exploring the potential of AI technologies to tackle social issues. …”
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Bioinspired, ingestible electroceutical capsules for hunger-regulating hormone modulation by Ramadi, Khalil B., McRae, James C., Selsing, George, Su, Arnold, Fernandes, Rafael, Hickling, Maela, Rios, Brandon, Babaee, Sahab, Min, Seokkee, Gwynne, Declan, Jia, Neil Zixun, Aragon, Aleyah, Ishida, Keiko, Kuosmanen, Johannes, Jenkins, Josh, Hayward, Alison, Kamrin, Ken, Traverso, Giovanni

Subjects: “…Artificial Intelligence…”
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Application of artificial intelligence in internal combustion engines – bibliometric analysis on progress and future research priorities by Abubakar, Shitu, Muhamad Said, Mohd. Farid, Abas, Mohd. Azman, Samaila, U., Ibrahim, Auwal A., Ismail, Najib Aminu, Narayan, Sunny, Kaisan, M. U.

“…Artificial intelligence (AI) techniques are increasingly used in internal combustion engines (ICEs) and hybrid electric vehicles (HEV) research, mainly for pre-diction, control, optimization, and classification task. …”

Sustainability risk management: exploring the role of artificial intelligence capabilities through an information-processing lens by Kong, Kai Yuan, Yuen, Kum Fai

“…This has driven maritime firms to leverage digital tools, such as artificial intelligence (AI) capabilities, to enhance their sustainability risk management (SRM) endeavors. …”
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Transfer optimization in complex engineering design by Tan, Alan Wei Min

Subjects: “…DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence…”
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Active learning for optimal intervention design in causal models by Zhang, Jiaqi, Cammarata, Louis, Squires, Chandler, Sapsis, Themistoklis P., Uhler, Caroline

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Advancing healthcare with artificial intelligence: diagnostic accuracy of machine learning algorithm in diagnosis of diabetic retinopathy in the Brazilian population by dos Reis, Mateus A., Künas, Cristiano A., da Silva Araújo, Thiago, Schneiders, Josiane, de Azevedo, Pietro B., Nakayama, Luis F., Rados, Dimitris R. V., Umpierre, Roberto N., Berwanger, Otávio, Lavinsky, Daniel, Malerbi, Fernando K., Navaux, Philippe O. A., Schaan, Beatriz D.

“…In healthcare systems in general, access to diabetic retinopathy (DR) screening is limited. Artificial intelligence has the potential to increase care delivery. …”
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