IMPROVING THE EFFICIENCY OF FOREIGN ECONOMIC ACTIVITY OF ENTERPRISES ON THE BASIS OF MARKET RESEARCH by Iryna Gontareva, Mariia Nesen

“…It is determined that the main areas for further research should be: identifying the most attrac­tive marketing strategies in international markets, how artificial intelligence can become a driving mechanism in the company's marketing, studying pricing strategies and developing financial mar­keting mechanisms in accordance with this data, the impact of e-commerce in international opera­tions and the proper management of these strategies.…”
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Digital Sovereignty in times of AI: between perils of hegemonic agendas and possibilities of alternative approaches by Alexandre Costa-Barbosa, Bianca Herlo, Gesche Joost

“…The current technological frontier is artificial intelligence (AI). Hence, digital sovereignty agendas now encompass the complexities introduced by AI. …”
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Software requirement selection using a combined multi‐objective optimisation technique by Wathiq H. Dukhan, Marghny H. Mohamed, Ali A. Amer, Elnomery Allam Zanaty, Omar Reyad

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EEG analysis of speaking and quiet states during different emotional music stimuli by Xianwei Lin, Xinyue Wu, Zefeng Wang, Zhengting Cai, Zihan Zhang, Guangdong Xie, Lianxin Hu, Laurent Peyrodie

“…Given the close relationship between music and language, researchers have begun to explore how music influences brain activity and cognitive processes by integrating artificial intelligence with advancements in neuroscience.MethodsIn this study, a total of 120 subjects were recruited, all of whom were students aged between 19 and 26 years. …”
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Improvement in Explicit Prediction of Water Quality Using Wavelet-Based LSSVR and M5pRT by Rashmi Bhardwaj, Aashima Bangia

“…Two sample situates have been identified wherever highly reported pollutants levels were found and have been analyzed through artificial intelligence (AI) techniques. It can be observed that wavelet denoised signals fed into the least squares support vector regression (LSSVR) and M5 prime regression tree (M5pRT) predicted more accurately on the basis of the performance errors that are as follows: (a) root mean squared error (RMSE); (b) mean squared error (MSE); (c) mean absolute error (MAE). …”
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Optimization and loss estimation in energy-deficient polygeneration systems: A case study of Pakistan's utilities with integrated renewable energy by Muhammad Shoaib Saleem, Naeem Abas

“…Techniques used for electricity demand forecasting encompass artificial intelligence, artificial neural networks, trend line extrapolations, fuzzy logic, vector support machines, genetic algorithms and expert systems. …”
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Review of models for estimating 3D human pose using deep learning by Sani Salisu, Kamaluddeen Usman Danyaro, Maged Nasser, Israa M. Hayder, Hussain A. Younis

“…Given its wide-ranging applications, HPE has become one of the fastest-growing areas in computer vision and artificial intelligence. This review highlights the latest advances in 3D deep-learning-based HPE models, addressing the major challenges such as accuracy, real-time performance, and data constraints. …”
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Design, Multiperspective Investigations, and Performance Analysis of Multirotor Unmanned Aerial Vehicle for Precision Farming by Darshan Kumar Jayaram, Vijayanandh Raja, Beena Stanislaus Arputharaj, Hussein A. Z. AL-bonsrulah

“…Precision farming with artificial intelligence (AI) has solved this problem. In this experiment, AI algorithms were used to lemon leaves. …”
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Three-Dimensional Reconstruction of Space Targets Utilizing Joint Optical-and-ISAR Co-Location Observation by Wanting Zhou, Lei Liu, Rongzhen Du, Ze Wang, Ronghua Shang, Feng Zhou

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Towards accurate anomaly detection for cloud system via graph-enhanced contrastive learning by Zhen Zhang, Zhe Zhu, Chen Xu, Jinyu Zhang, Shaohua Xu

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Data and Knowledge-Driven Bridge Digital Twin Modeling for Smart Operation and Maintenance by Zhe Sun, Bin Liang, Shengyao Liu, Zhansheng Liu

“…Previous studies have developed advanced sensing techniques and robust artificial intelligence algorithms for capturing and analyzing bridge health conditions. …”
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AI-Enabled Sensing and Decision-Making for IoT Systems by Hao Qinxia, Shah Nazir, Ma Li, Habib Ullah Khan, Wang Lianlian, Sultan Ahmad

“…The influential stage of Internet of Things (IoT) has reformed all fields of life in general but specifically with the emergence of artificial intelligence (AI) has drawn the attention of researchers into a new paradigm of life standard. …”
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An Efficient Detector for Automatic Tomato Classification Systems by Duy-Linh Nguyen, Xuan-Thuy Vo, Adri Priadana, Jehwan Choi, Kang-Hyun Jo

“…Nowadays, artificial intelligence and robotics have been deployed in almost all areas of human life. …”
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Machine Learning in Acute Stroke Neuroimaging. A Systematic Literature Review by D. Matuliauskas, I. Stražnickaitė, A. Samuilis, D. Jatužis

“… Background. Artificial intelligence (AI) in medical imaging is a growing and promising technology that can be applied in stroke diagnosis. …”
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Dual-Channel Deepfake Audio Detection: Leveraging Direct and Reverberant Waveforms by Gunwoo Lee, Jungmin Lee, Minkyo Jung, Joseph Lee, Kihun Hong, Souhwan Jung, Yoseob Han

“…Deepfake content-including audio, video, images, and text-synthesized or modified using artificial intelligence is designed to convincingly mimic real content. …”
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Machine Learning for Promoting Environmental Sustainability in Ports by Meead Mansoursamaei, Mahmoud Moradi, Rosa G. González-Ramírez, Eduardo Lalla-Ruiz

“…The application of machine learning (ML), as one of the main subdomains of artificial intelligence (AI), can be considered a component within the process of digital transformation to advance green activities in maritime port logistics. …”
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Integrating Human-Computer Interactions in Nigerian Energy System: A Skills Requirement Analysis by Omoseni Adepoju, Oluwarotimi Akinyomi, Oluwadamilola Esan

“…This research explores the impact of HCI in the adoption of technologies of 4IR (Artificial Intelligence, the Internet of Things, Big Data, and Cloud Computing), in Nigeria's energy sector. …”
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Transmission line trip faults under extreme snow and ice conditions: a case study by Guojun Zhang

“…Moreover, the integration of unmanned aerial vehicles (UAVs) and artificial intelligence (AI)-based fault detection tools presents promising opportunities for improving remote monitoring capabilities and enabling proactive maintenance interventions. …”
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Single online self-compassion writing intervention reduces anxiety: With the feedback of ChatGPT by Tomoko Kishimoto, Ximing Hao, Trimble Chang, Zhiye Luo

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Efficacy of Bluetooth-Based Data Collection for Road Traffic Analysis and Visualization Using Big Data Analytics by Ashish Rajeshwar Kulkarni, Narendra Kumar, K. Ramachandra Rao

“…Urban traffic management has come a long way from manual control to artificial intelligence techniques. Still real-time adaptive traffic control is an unfulfilled dream due to lack of low cost and easy to install traffic sensor with real-time communication capability. …”
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