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Academic Articles & Research Papers
Showing 20 of 690 academic articles
Qiying Yu, Wenzhong Li, Yungang Bai, Zhenlin Lu et al. • Journal of Hydrology: Regional Studies
(2025)
Study Area: The Tailan River Basin in the Aksu region and the Yulong Kashi River in the Hotan River Basin of Xinjiang are located at respective geographical coordinates of 80°21'44'' to 81°10'14'' E, 40°41'41'' to 42°15'13'' N, and 77.25° t...
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Open Access (DOAJ)
DOI: 10.1016/j.ejrh.2025.102311
Binbin Chen, Shengjie Long • IEEE Access
(2020)
In traditional financial analysis discriminant analyses with statistic methods are considered as primary and widely applied corporate credit rating bases in which human impact plays an essential role. Machine learning approaches enormously ...
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Open Access (DOAJ)
DOI: 10.1109/ACCESS.2020.3036469
Lei Zhou, Yuntong Song, Weiqi Ji, Haiqiao Wei • Energy and AI
(2021)
Combustion science is an interdisciplinary study that involves nonlinear physical and chemical phenomena in time and length scales, including complex chemical reactions and fluid flows. Combustion widely supplies energy for powering vehicle...
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DOI: https://doi.org/10.1016/j.egyai.2021.100128
Heechan Han, Boran Kim, Kyunghun Kim, Donghyun Kim et al. • Water Science and Technology
(2023)
Precipitation is one of the driving forces in water cycles, and it is vital for understanding the water cycle, such as surface runoff, soil moisture, and evapotranspiration. However, missing precipitation data at the observatory becomes an ...
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Open Access (DOAJ)
DOI: 10.2166/wst.2023.237
Ammar Alnmr, Ammar Alnmr, Rashad Alsirawan, Haidar Hosamo et al. • Frontiers in Built Environment
(2026)
Efficient and reliable design of Geosynthetic Reinforced Pile-Supported (GRPS) embankments on soft ground remains challenging due to the complex nonlinear soil–structure interaction and the high computational cost of repeated numerical anal...
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Open Access (DOAJ)
DOI: 10.3389/fbuil.2026.1829950
Jing Wei, Xuan Chu, Xiangyu Sun, Kun Xu et al. • InfoMat
(2019)
Abstract Traditional methods of discovering new materials, such as the empirical trial and error method and the density functional theory (DFT)‐based method, are unable to keep pace with the development of materials science today due to the...
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DOI: https://doi.org/10.1002/inf2.12028
Longfei Cui, Xinyu Niu, Haizhong Qian, Xiao Wang et al. • Applied Sciences
(2025)
The extraction of shape features from vector elements is essential in cartography and geographic information science, supporting a range of intelligent processing tasks. Traditional methods rely on different machine learning algorithms tail...
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Open Access (DOAJ)
DOI: 10.3390/app15052383
Yong Wang, Hongwen He, Yuankai Wu, Pei Wang et al. • Engineering
(2025)
An effective energy management strategy (EMS) is essential to optimize the energy efficiency of electric vehicles (EVs). With the advent of advanced machine learning techniques, the focus on developing sophisticated EMS for EVs is increasin...
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Open Access (DOAJ)
DOI: 10.1016/j.eng.2024.10.021
Дмитро АНРДЄЄВ, Олексій ЛИГУН, Андрій ДРОЗД, Олена ПОНОЧОВНА • Компютерні системи та інформаційні технології
(2025)
Critical infrastructures are fundamental to the seamless operation of modern societies, encompassing sectors such as energy, healthcare, transportation, and communications. Ensuring their reliability, performance, continuous operation, safe...
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Open Access (DOAJ)
DOI: 10.31891/csit-2025-2-3
Aida Meto, Gerta Halilaj • Applied Sciences
(2025)
(1) Background: Advancements in dental imaging technologies have significantly transformed diagnostic and surgical practices. The integration of cone beam computed tomography (CBCT), artificial intelligence (AI), augmented reality (AR), and...
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Open Access (DOAJ)
DOI: 10.3390/app15116308
Ashwani Kumar Upadhyay, Komal Khandelwal • Strategic HR Review
(2018)
Purpose This paper aims to review the applications of artificial intelligence (AI) in the hiring process and its practical implications. This paper highlights the strategic shift in recruitment industry caused due to the adoption of AI in t...
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DOI: https://doi.org/10.1108/shr-07-2018-0051
Mingxin Hu, Chaoxing He, Jintao Hao, Nannan Qi et al. • Journal of Translational Medicine
(2026)
Abstract Background Leukemia is a highly heterogeneous and aggressive hematological malignancy. Current therapeutic approaches (e.g. chemotherapy, radiotherapy, small-molecule targeted therapies, and hematopoietic stem cell transplantation,...
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Open Access (DOAJ)
DOI: 10.1186/s12967-026-07966-w
Haoliang Wang, Zarina Shukur, Khairul Akram Zainol Ariffin, Renhao Xiao et al. • Scientific Reports
(2025)
Abstract In recent years, online examinations have been widely adopted because of their flexibility, but the covert and diverse nature of cheating behaviour poses a serious challenge to the fairness and integrity of examinations. Existing a...
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Open Access (DOAJ)
DOI: 10.1038/s41598-025-18412-0
Rajesh Manoharan, R. V. Siva Balan, G. Govinda Rajulu, Amit Kumar Padhy et al. • IEEE Open Journal of the Communications Society
(2026)
Communication is moving from being data-centric to being experience-centric and perception-aware with the advent of 6G wireless networks. Immersive applications such as digital twins, holographic telepresence, extended reality, tactile Inte...
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Open Access (DOAJ)
DOI: 10.1109/OJCOMS.2026.3683716
Nitin Rane, Mallikarjuna Paramesha, Saurabh Choudhary, Jayesh Rane • Journal of Applied Artificial Intelligence
(2024)
In an increasingly complex and unpredictable world, resilience-the ability to withstand and recover from adverse conditions is essential across various sectors. This research paper investigates the transformative potential of artificial int...
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DOI: https://doi.org/10.2139/ssrn.4831911
Ali Taimori, Mathini Sellathurai, Tharmalingam Ratnarajah • IEEE Transactions on Machine Learning in Communications and Networking
(2026)
Communication is a fundamental process in the nature of interconnected entities. Conventional engineering models of information transmission and reception, namely Shannon’s bit communication and Weaver’s semantic communication...
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Open Access (DOAJ)
DOI: 10.1109/TMLCN.2026.3716920
Dean Ho, Peter Wang, Theodore Wonpeum Kee • Nanoscale Horizons
(2018)
The field of nanomedicine has made substantial strides in the areas of therapeutic and diagnostic development. For example, nanoparticle-modified drug compounds and imaging agents have resulted in markedly enhanced treatment outcomes and co...
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DOI: https://doi.org/10.1039/c8nh00233a
Bingbing Fang, Jiacheng Yu, Zhonghao Chen, Ahmed Ibrahim Osman et al. • Environmental Chemistry Letters
(2023)
The rising amount of waste generated worldwide is inducing issues of pollution, waste management, and recycling, calling for new strategies to improve the waste ecosystem, such as the use of artificial intelligence. Here, we review the appl...
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DOI: https://doi.org/10.1007/s10311-023-01604-3
PMC: 10169138
Jiayun Xin, Mohammad Khishe, Diyar Qader Zeebaree, Laith Abualigah et al. • Heliyon
(2024)
Deep Convolutional Neural Networks (DCNNs) have shown remarkable success in image classification tasks, but optimizing their hyperparameters can be challenging due to their complex structure. This paper develops the Adaptive Habitat Biogeog...
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Open Access (DOAJ)
DOI: 10.1016/j.heliyon.2024.e28147
Iain Cockburn, Rebecca M. Henderson, Scott Stern • University of Chicago Press eBooks
(2019)
Artificial intelligence may greatly increase the efficiency of the existing economy. But it may have an even larger impact by serving as a new general-purpose “method of invention” that can reshape the nature of the innovation process and t...
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DOI: https://doi.org/10.7208/chicago/9780226613475.003.0004