Improved marine predators algorithm for engineering design optimization problems by Ye Chun, Xu Hua, Chen Qi, Ye Xin Yao

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Object prediction and detection of ground-based weapon with an improved YOLO11 approach by Hanyul Ryu, Mingyu Park, Dae-Yeol Kim

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I know your stance! Analyzing Twitter users’ political stance on diverse perspectives by Jisu Kim, Dongjae Kim, Eunil Park

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Key n-Gram Extractions and Analyses of Different Registers Based on Attention Network by Haiyan Wu, Ying Liu, Shaoyun Shi, Qingfeng Wu, Yunlong Huang

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Imperative Role of Technology Intervention and Implementation for Automation in the Construction Industry by Amit Srivastava, Sajjaf Jawaid, Rajesh Singh, Anita Gehlot, Shaik Vaseem Akram, Neeraj Priyadarshi, Baseem Khan

“…The large amount of data generated from the IoT, RFID, BIM, and AR/VR provided an opportunity for big data and artificial intelligence (AI) to extract meaningful insights related to the events in the construction industry. …”
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Measuring the Risk Spillover Effect of RCEP Stock Markets: Evidence from the TVP-VAR Model and Transfer Entropy by Yijiang Zou, Qinghua Chen, Jihui Han, Mingzhong Xiao

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Reinforcement learning for deep portfolio optimization by Ruyu Yan, Jiafei Jin, Kun Han

“…Portfolio optimization is an important financial task that has received widespread attention in the field of artificial intelligence. In this paper, a novel deep portfolio optimization (DPO) framework was proposed, combining deep learning and reinforcement learning with modern portfolio theory. …”
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Recent advances in recombinant production of soluble proteins in E. coli by Ario de Marco

“…The new capacities offered by artificial intelligence tools could help clarifying this issue, but the training phase will probably require more systematic experimental approaches to collect sufficiently uniform data.…”
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“Having providers who are trained and have empathy is life-saving”: Improving primary care communication through thematic analysis with ChatGPT and human expertise by Michelle A. Stage, Mackenzie M. Creamer, Mollie A. Ruben

“…In the rapidly evolving field of healthcare research, Artificial Intelligence (AI) and conversational models like ChatGPT (Conversational Generative Pre-trained Transformer) offer promising tools for data analysis. …”
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Physical embodiment and anthropomorphism of AI tutors and their role in student enjoyment and performance by Helene Ackermann, Anja Henke, Johann Chevalère, Hae Seon Yun, Verena V. Hafner, Niels Pinkwart, Rebecca Lazarides

“…Abstract Rising interest in artificial intelligence in education reinforces the demand for evidence-based implementation. …”
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The Combination Forecasting of Electricity Price Based on Price Spikes Processing: A Case Study in South Australia by Jianzhou Wang, Ling Xiao, Jun Shi

“…This paper proposes the use of artificial intelligence optimization combination forecasting models based on preprocessing data, called “chaos particles optimization (CPSO) weight-determined combination models.” …”
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AutoPVPrimer: A comprehensive AI-Enhanced pipeline for efficient plant virus primer design and assessment. by Abozar Ghorbani, Mahsa Rostami, Elham Ashrafi-Dehkordi, Pietro Hiram Guzzi

“…We present AutoPVPrimer, an innovative pipeline that integrates artificial intelligence (AI) and machine learning to accelerate the development of plant virus primers. …”
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Parabole d’un ‘éternel retour’ ou voyage vers une post-humanité ? by Orlane Glises de la Rivière

“…While the work is a feat in terms of special effects, it has left its mark on the public with its emblematic character: the robot HAL 9000. This artificial intelligence, pushed to its evolutionary peak, is undoubtedly the most human machine to emerge from science fiction cinema. …”
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Positive Macroscopic Approximation for Fast Attribute Reduction by Zheng-Cai Lu, Zheng Qin, Qiao Jing, Lai-Xiang Shan

“…Attribute reduction is one of the challenging problems facing the effective application of computational intelligence technology for artificial intelligence. Its task is to eliminate dispensable attributes and search for a feature subset that possesses the same classification capacity as that of the original attribute set. …”
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OBTAINING AND TESTING OF MG-CA-SR BIODEGRADABLE MATERIALS USED IN MEDICINE by Kamel Earar, Ion Ciucă, Cornel Munteanu, Norin Forna, Anton Knieling, Alina Calin, Gabriela Leata

“…Additionally, artificial intelligence offers opportunities to optimize material design and predict clinical outcomes. …”
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INDUSTRY 5.0: DIGITALIZATION OF ACCOUNTING THROUGH THE EMERGENCE OF E-INVOICE by GORE BEATRICE ELENA, SCHITZ CORNELIA-ANA, RADU FLORIN

“…Industry 5.0 is defined by the connection between technology and human skills, enhancing the field of accounting through the integration of artificial intelligence (AI), automation, and advanced data analytics solutions. …”
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A hybrid machine learning model for intrusion detection in wireless sensor networks leveraging data balancing and dimensionality reduction by Md. Alamin Talukder, Majdi Khalid, Nasrin Sultana

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A Novel Hyper-Heuristic Algorithm with Soft and Hard Constraints for Causal Discovery Using a Linear Structural Equation Model by Yinglong Dang, Xiaoguang Gao, Zidong Wang

“…Artificial intelligence plays an indispensable role in improving productivity and promoting social development, and causal discovery is one of the extremely important research directions in this field. …”
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Architecture design, key technologies, and application research of GPU heterogeneous resource pool platform based on virtualization by ZHANG Wancai, ZHANG Nan, YANG Wenqing, WANG Tao, ZHANG Wenqiang

“…The current challenges facing the field of artificial intelligence include high prices and market supply disruptions. …”
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Triangulation Applied to the Intra-European Union Tomato Market by Jaime De Pablo Valenciano, José Antonio Torres Arriaza, Juan Uribe-Toril, José Luis Ruiz-Real

“…The methodology used to study the interrelationships of trade flows in the countries of the European Union (EU) is that of triangulation by means of the Leontief input-output model. Artificial intelligence techniques are used to process and triangulate the data based on pathfinding techniques using a cost function. …”
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