The Enforcement of Law and Policy on STM with the Emergence of Advanced Technologies by Elham Farahani, Shouping Li

“…It also examines the fact that the utilization of advanced technologies in the environment of outer space presents both opportunities and challenges, especially with the emergence of Artificial Intelligence (AI) and Machine Learning (ML). Although revising all regulations is anticipated to be a challenging and time-consuming process, it can be implemented through communication and cooperation between spacefaring countries, private space operators, and other relevant entities at the national and international levels, as well as permanent monitoring and evaluation of all technologies to ensure that they are used in a manner that is consistent with established laws and policies.…”
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The Organizational Structure and Operational Logic of an Urban Smart Governance Information Platform: Discussion on the Background of Urban Governance Transformation in China by Junfang Kang, Xianjun Wang

“…Urban smart governance supported by mobile Internet, the Internet of Things, quantum computing, big data, artificial intelligence, and other information technologies has also entered the field of vision of academics and administrators. …”
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New Radiological Approaches in Dental Education by İrem Öztürk, Kaan Orhan

“…Staying close to new approaches and methods in educational materials and techniques is an inevitable necessity for keeping pace with the times.Objective and Method: The aim of this review is to discuss current studies regarding how new radiological approaches in dentistry, particularly artificial intelligence and its products, can provide differences and advantages in the field of education. …”
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From Backtracking To Deep Learning: A Survey On Methods For Solving Constraint Satisfaction Problems by Fatima AIT HATRIT, Kamal AMROUN

“… Constraint Satisfaction Problems (CSP) are a fundamental mechanism in artificial intelligence, but finding a solution is an NP-complete problem, requiring the exploration of a vast number of combinations to satisfy all constraints. …”
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HCBPM: An Idea toward a Social Learning Environment for Humanoid Robot by Fady Alnajjar, Abdul Rahman Hafiz, Kazuyuki Murase

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Exploration of Application of Unmanned Aerial Vehicle Remote Sensing Monitoring Technology in Reservoir Management—Taking a Reservoir in South China as an Example by SUN Wen, SUN Bo

“…In order to improve the technological level and efficiency of water conservancy project supervision,a drinking water reservoir management department in South China took the lead in building a set of intelligent patrol systems for unmanned aerial vehicles (UAVs).The system included UAVs,UAV automated airports,meteorological monitoring devices,and UAV dispatch and control platforms,and it integrated technologies such as UAV autonomous driving,remote-sensing monitoring,geospatial perception,and artificial intelligence,achieving intelligent flight operations of UAVs in a round-the-clock,fully automatic,and highly frequent manner.It changed traditional routine inspection methods for reservoir security,environment,and land space,greatly improved working efficiency and regulatory effectiveness,and reduced the occurrence of safety incidents around the reservoir,which provided a certain reference value for its application and promotion in the daily management of water conservancy projects.However,the technical issues such as battery life,communication interference,and intelligent perception in the application of UAVs in the industry,as well as the lack of UAV hardware quality and flight standards caused by incomplete industry regulation,collectively limited the orderly development of the industry,and it must be taken seriously by industry-related regulatory authorities.…”
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Cognitive Optimization in Assistive Living System Development by Alan Bowling, Fillia Makedon

“…Support for this approach stems from the artificial intelligence field where optimization is considered to be a critical aspect of cognition, and from the similarity between the performance metrics for the two problem domains. …”
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Enhancing the Efficiency of Routing Strategies in WSNs Using Live Streaming Algorithms by Hayder Jasim Alhamdane, Mohsen Nickray

“…In this piece, we examine the suggestion of fictitious artificial intelligence. Developing a mathematical framework is an effective approach to formulating an ideal green routing strategy that addresses the shortcomings of conventional green networking techniques. …”
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Identification on the structures of block ciphers using machine learning by Ruiqi XIA, Manman LI, Shaozhen CHEN

“…Cryptographic identification is a critical aspect of cryptanalysis and a fundamental premise for key recovery.With the advancement of artificial intelligence, cryptanalysis based on machine learning has become increasingly mature, providing more effective methods and valuable insights for cryptographic identification.The distinguishability experiments were performed based on the Machine Learning to identify the structures of block ciphers in conditions of random keys.The identification of two structures of block ciphers from theoretical and experimental angles was studied.The differences of features in two structures’ cipher texts have been deduced by introducing the runs distribution index, feature distribution functions, KL-divergence, etc.After completing the feasibility research, experiments to identify the structures of two block ciphers using two Machine Learning models and the runs distribution index were conducted.The experiments were divided into two groups: single algorithm group and mixture algorithms group.It is found that the accuracy of both groups are more than 80%, which is around 40% higher than former work.The problem of identifying the structures of Block Ciphers in the conditions of random keys is solved in detail.Meanwhile, differences between the two structures of block ciphers are verified, which can serve as a reference for the design of cryptography algorithms.…”
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Conceptual problems of financial accounting in a digital economy by N. K. Rozhkova, U. Yu. Blinova

“…There are prerequisites for changing the entire accounting system due to modern technologies (blockchain, artificial intelligence), which can completely change the traditional ideas about the formation of accounting and analytical information as well as main functions of accountant. …”
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Machine Condition Monitoring System Based on Edge Computing Technology by Igor Halenar, Lenka Halenarova, Pavol Tanuska, Pavel Vazan

“…The main positive of the design is the processing of data from the sensor layer using artificial intelligence (AI) and expert systems (ESs) with the use of edge computing (EC). …”
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Evaluation Method of Street Green Landscape Viewing Degree Based on Machine Learning by Tieming Wang, Mengyu Liu, Wenhua Huang

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Review: the application of deep reinforcement learning to quantitative trading in financial market by XU Bo, HE Yijun, WEN Jiancheng, LI Xiangxia

“…As an effective learning paradigm to realize general artificial intelligence, deep reinforcement learning (DRL) has achieved significant results in a series of practical quantitative trading applications in financial market, becoming the mainstream method in this field. …”
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Sustainable Development in the Digital Age: Harnessing Emerging Digital Technologies to Catalyze Global SDG Achievement by Claudiu George Bocean

“…This research explores the transformative potential of cutting-edge digital technologies—including artificial intelligence, big data analytics, cloud computing, and the Internet of Things—in fostering sustainable development across economic, social, and environmental dimensions. …”
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Advancing Computational Humor: LLaMa-3 Based Generation with DistilBert Evaluation Framework by He Jinliang, Mei Aohan

“…This research advances the field by showcasing the benefits of comprehensive dataset preparation and targeted fine-tuning, providing a foundation for future developments in humor-related artificial intelligence applications.…”
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Rethinking military command and control systems by George-Ion TOROI

“…In the context of new multi-domain operational paradigms and accelerated technological progress, C2 adaptation involves the integration of emerging technologies such as artificial intelligence, automation and real-time response capabilities to optimize decision-making. …”
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Research on the Disease Intelligent Diagnosis Model Based on Linguistic Truth-Valued Concept Lattice by Li Yang, Yuhui Wang, Haixia Li

“…Uncertainty natural language processing has always been a research focus in the artificial intelligence field. In this paper, we continue to study the linguistic truth-valued concept lattice and apply it to the disease intelligent diagnosis by building an intelligent model to directly handle natural language. …”
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Transforming oral cancer care: The promise of deep learning in diagnosis by Durairaj Varalakshmi, Mayakrishnan Tharaheswari, Thirunavukarasou Anand, Konda Mani Saravanan

“…Deep learning (DL), a subset of artificial intelligence, holds promise for transforming medical image analysis and predictive analytics. …”
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An Explainable Stacked Ensemble Model for Static Route-Free Estimation of Time of Arrival by Sören Schleibaum, Jörg P. Müller, Monika Sester

“…To alleviate this, we investigate explainable artificial intelligence (XAI) methods for explaining the first- and second-level models of the ensemble. …”
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Fusing multispectral information for retinal layer segmentation by Xiang He, Fuwang Wu, Kaixuan Hu, Lizhen Cui, Weiye Song, Yi Wan

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