Using Generative Adversarial Networks to Translate Microresistivity Image Logs of Carbonates Into Synthetic Core Images With Accurate Dunham Textures by Saira Baharuddin, Cédric M. John

“…We trained a total of 10 models, testing various combinations of FMS data input formats, image processing methods, GAN architecture, and training hyperparameters. …”
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SGPLane: Efficient lane detection via sampled grid points for autonomous driving by Xuewei Tang, Mengmeng Yang, Kun Jiang, Tuopu Wen, Benny Wijaya, Diange Yang

“…Earlier works revolved around semantic segmentation and object detection with a special program for lanes. However, most methods still suffer from unstable post-processing algorithms which leads to a gap between camera input and downstream applications. …”
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Semantic-BERT and semantic-FastText model for education question classification by Teotino Gomes Soares, Azhari Azhari, Nur Rohkman

“…Question classification (QC) is critical in an educational question-answering (QA) system. However, most existing models suffer from limited semantic accuracy, particularly when dealing with complex or ambiguous education queries. …”
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Feasibility Study of Five Solar Thermal Power Plants in Arequipa, Peru, and Their Comparison with Seto Targets by Harry Aarón Yapu Maldonado

“…Finally, the LCOE is broken down into its main components to identify the most significant costs. The methodology was developed in three stages: (1) collection of technical, economic, and geographical parameters of Gemasolar along with climate and radiation data from Arequipa; (2) simulations in the System Advisor Model (SAM) software to optimize CSP plant design, considering the number and arrangement of heliostats, as well as the dimensions of the tower and receiver; and (3) processing of results in Excel to calculate the LCOE for each CSP configuration and the generation of contour maps in MATLAB to compare LCOE, TES, design power, and relative percentages against SETO targets, SEAL tariffs, and the Gemasolar plant. …”
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ASSESSMENT OF THE INFLUENCE OF MODERN CRUSTAL MOVEMENTS AND THE RECENTLY ACTIVATED PRECAMBRIAN STRUCTURAL PLAN ON THE RELIEF OF THE LAKE LADOGA REGION (THE SOUTHEASTERN BALTIC SHIE... by A. O. Agibalov, V. A. Zaytsev, A. A. Sentsov, A. S. Devyatkina

“…It presents the results of comprehensive studies, including processing of the regional geological and geomorphological data by the modern methods, as the major novelty of our work. …”
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Phase-field model of alloy solidification far from chemical equilibrium at the solid-liquid interface by Kaihua Ji, Mingwang Zhong, Alain Karma

“…Other variational formulations have restricted ranges of materials or processing parameters that can be reliably modeled. …”
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Recent developments in unmanned aerial vehicle (UAV) surveys for rock slope stability analysis—a review by Muhammad Junaid, M. E. Al-Atroush, Sajid Mahmood, Kausar Sultan Shah, Arshad Ullah

“…The existence of most of the cut and natural slopes in morphological complex areas makes it impossible to characterize the discontinuities along the rock slope using conventional scanline mapping and geological compass. …”
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ARTIFICIAL INTELLIGENCE IN EDUCATION: CASES OF USING CHATGPT 3.5 by Дмитро Покришень

“…Among the showcased cases of AI usage, the most demanded queries among teachers are presented. …”
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A Method for On-Board Fire Detection Based on the Integration of Expert Systems and Neural Networks by F. Wang, R. Yue, R. Sun, F. Liu, X. Kong

“…However, current fire detection using remote sensing satellites is mostly for post-disaster confirmation rather than pre-disaster warning, lacking a high-timeliness, high-accuracy onboard fire detection and warning scheme. …”
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Evaluation of food safety management systems in Serbian dairy industry by Igor Tomašević, Nada Šmigić, Ilija Đekić, Vlade Zarić, Nikola Tomić, Jelena Miocinovic, Andreja Rajković

“…The most important identified benefit was increased safety of dairy products with the mean rank scores of 6.85. …”
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Deep learning based approaches for intelligent industrial machinery health management and fault diagnosis in resource-constrained environments by Ali Saeed, Muazzam A. Khan, Usman Akram, Waeal J. Obidallah, Soyiba Jawed, Awais Ahmad

“…The importance of IFD methods in ensuring the smooth execution of industrial processes has become increasingly evident. However, most methods are formulated under the assumption of complete, balanced, and abundant data, which often does not align with real-world engineering scenarios. …”
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Radiological Assessment of Coal Fly Ash from Polish Power and Cogeneration Plants: Implications for Energy Waste Management by Krzysztof Isajenko, Barbara Piotrowska, Mirosław Szyłak-Szydłowski, Magdalena Reizer, Katarzyna Maciejewska, Małgorzata Kwestarz

“…This study aimed to fill this gap and provide crucial data for the Polish energy and environmental context. …”
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Tuning Genetic Algorithm Parameters to Improve Convergence Time by Maria Angelova, Tania Pencheva

“…Among the considered genetic algorithm parameters, generation gap influences most significantly the algorithm convergence time, saving up to 40% of time without affecting the model accuracy.…”
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Incentive mechanism for import substitution of mining equipment by A. A. Grabski, A. A. Rozhkov

“…The SPIC is a form of public–private partnership, which should be primarily aimed at overcoming the technological gap and import dependence through the implementation of a phased import substitution and innovative development of the Russian coal industry and domestic mining machine building.   …”
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Intracellular Cleavage of the Cx43 C-Terminal Domain by Matrix-Metalloproteases: A Novel Contributor to Inflammation? by Marijke De Bock, Nan Wang, Elke Decrock, Geert Bultynck, Luc Leybaert

“…The coordination of tissue function is mediated by gap junctions (GJs) that enable direct cell-cell transfer of metabolic and electric signals. …”
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Optimized Software Implementation of Keccak, Kyber, and Dilithium on RV{32,64}IM{B}{V} by Jipeng Zhang, Yuxing Yan, Junhao Huang, Çetin Kaya Koç

“…In light of this gap, this paper proposes comprehensive and efficient optimizations of Keccak, Kyber, and Dilithium on RV{32,64}IM{B}{V}. …”
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Development of adaptive and emotionally intelligent educational assistants based on conversational AI by Rommel Gutierrez, William Villegas-Ch, Jaime Govea

“…This structural limitation reduces the potential for generating personalized, empathetic, and sustainable learning experiences, particularly in complex domains such as critical reading comprehension. To address this gap, this study proposes and evaluates an educational assistant based on conversational artificial intelligence, which integrates natural language processing, real-time emotional analysis, and dynamic cognitive adaptation. …”
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Mindful Architecture from Text-to-Image AI Perspectives: A Case Study of DALL-E, Midjourney, and Stable Diffusion by Chaniporn Thampanichwat, Tarid Wongvorachan, Limpasilp Sirisakdi, Pornteera Chunhajinda, Suphat Bunyarittikit, Rungroj Wongmahasiri

“…Previous studies demonstrate that a substantial educational gap persists between architecture and mindfulness. …”
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Applications of Industry 4.0 Technologies in Warehouse Management: A Systematic Literature Review by Lihle N. Tikwayo, Tebello N. D. Mathaba

“…<i>Results:</i> Improved process efficiency, the availability of real-time data, added competitive advantage and the ability to integrate business activities digitally are the top four most important benefits of implementing Industry 4.0 technologies and decision support systems in warehouse management. …”
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Development and future prospects of 3D printed surimi products: A review by Dieynabou Diao, Ruizhi Yang, Yijin Liu, Yadong Zhao, Meiling Chen, Yan Chen, Bin Zheng, Heng Yen Khong

“…As one of the dominant seafood products in the global market, consumers appreciate high-quality surimi products for their high nutritional value and unique taste. However, most surimi products on the market need appeal and attractiveness. …”
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