Application of Concentration-Area fractal modeling and artificial neural network to identify Cu, Zn±Pb geochemical anomalies in Hashtjin area, NW of Iran by Ali Imamalipour, Hamed Ebrahimi, Amir reza Abdollahpur

“…Results The study area exhibits complex geochemical features. In such a complex setting, it is essential to implement multiple methods in combination to separate anomalies from the background accurately. …”
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In-Memory Versus Disk-Based Computing with Random Forest for Stock Analysis: A Comparative Study by Chitra Joshi, Chitrakant Banchorr, Omkaresh Kulkarni, Kirti Wanjale

“…As opposed to this, the MapReduce approach had higher latency and lower accuracy, reflecting its disk-based constraints and reduced efficiency for iterative machine learning tasks.Conclusion: The conclusion supports the fact that Spark is the better option for complex machine learning tasks such as stock price prediction, as it is good for handling large amounts of data. …”
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MATHEMATICAL MODELS OF DECISION SUPPORT IN THE PROBLEMS OF LOGISTICS NETWORKS OPTIMIZATION by Володимир Валентинович Безкоровайний, Оксана Михайлівна Драз

“…The practical use of the proposed models and procedures will reduce the time and capacity complexity of decision support technologies, and through the use of the proposed selection procedures - to improve their quality across a variety of functional and cost indicators.…”
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ResTreeNet: A Height-Aware LiDAR Tree Classification Model With Explainable AI for Forestry Applications by Asrat Kaleab Taye, Jeong-Mook Park, Hyung-Ju Cho, Jin-Taek Kang, Yeon-Ok Seo

“…However, applying deep learning models to LiDAR-based tree classification remains challenging due to the computational complexity of existing 3D architectures, which often struggle with scalability and practical large-scale implementation. …”
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AbVLM-Q: intelligent quality assessment for abdominal ultrasound standard planes via vision-language modeling by Baohua Wang, Yaqian Wang, Yanhua Chu, Ke Zhang, Lei Liu, Kexin Zhang, Bowen Zhu, Dong Wang, Tianan Jiang

“…Abstract Background Abdominal ultrasound is non-invasive and efficient, yet acquiring standard planes remains challenging due to operator dependency and procedural complexity. …”
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AIpollen: An Analytic Website for Pollen Identification Through Convolutional Neural Networks by Xingchen Yu, Jiawen Zhao, Zhenxiu Xu, Junrong Wei, Qi Wang, Feng Shen, Xiaozeng Yang, Zhonglong Guo

“…With the rapid development of artificial intelligence, deep learning has been widely applied to complex tasks such as computer vision and natural language processing, demonstrating its outstanding performance. …”
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Innovative Damage Assessment of Endodontic Instruments Based on Digital Image Stacking by Raúl Argüello-Sánchez, Ivette Alejandra Calderón-Alday, Antonio Hernández-Morales, Benjamín Gonzalo Rodríguez-Méndez, Diego Medina-Castro, Régulo López-Callejas, Carlo Eduardo Medina-Solís

“…Conventional scanning electron microscopy (SEM) has been the gold standard for this purpose; however, its limited accessibility and complex sample preparation protocols hinder its routine use in clinical settings. …”
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Improvement of urban passenger ground transport structure based on coordinated development of subsystems by D. A. Dryuchin

“…The solution of the tasks set is reflected, indicators reflecting the achievement of the research goal are indicated, confirmation of the hypothesis about the possibility of improving the efficiency of the urban passenger transport complex through the implementation of conditions ensuring the coordinated development and interaction of key subsystems is formulated.Conclusion. …”
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Introducing a Novel Figure of Merit for Evaluating Stability of Perovskite Solar Cells: Utilizing Long Short-Term Memory Neural Networks by Zahraa Ismail, Ahmet Sait Alali, Ahmad Muhammad, Mahmoud Ashraf, Sameh O. Abdellatif

“…Our findings indicate that the LSTM model effectively captures and predicts the complex relationships between key design parameters—efficiency, fill factor, and open-circuit voltage—and degradation-induced changes in PSCs. …”
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The Impact of Natural Resources on the Development of Countries by Mohammad Javad Barbari, Abdolhosain Kalantari, Hosain Raghfar, Gholamreza Ghafari

“…In the present study, qualitative comparative analysis method has been used as a means of quantitative and qualitative research and a powerful tool to analyze the causal complexities. Therefore, four phases of data fuzzy, formation of values table, a method to analyze the variables using complex causality and validation of the results of the research were considered. …”
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Methods of Digital Bite Registration: A Narrative Review by Maryam Jahangiri, Sayed Shojaodin Shayegh

“…However, in patients with complex conditions such as edentulous patients or patients with improper bites, the use of digital scanners can pose challenges. …”
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Impacts of clinical research units on clinical research — a systematic review of empirical studies by Fan Wang, Xu Wang, Enmei Liu, Fujian Song, Yaolong Chen

“…While previous studies suggest that clinical research units (CRUs) provide critical support and expertise for complex clinical research, their necessity for ensuring high-quality clinical research remains uncertain. …”
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Infrastructure support for software import substitution by V. K. Grigoryev, A. A. Biryukova, M. A. Ovchinnikov

“…The purpose of the research is to improve the efficiency of software import substitution processes. …”
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Insights into the effects of biomass feedstock and pyrolysis conditions on the energy storage capacity and durability of standard biochar-based phase-change composites by Dimberu G. Atinafu, Ji Yong Choi, Jihee Nam, Yujin Kang, Sumin Kim

“…Abstract Material selection and production conditions are imperative for determining the functional performances of composite materials. …”
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Correlated Photon Lidar Based on Time-Division Multiplexing by Yun Jiang, Bo Liu, Zixun Wang, Fengyun Huang, Taibei Liu, Lan Luo, Feifan He, Yongqi Yang, Bin Zhao

“…Single-photon lidar (SPL) exhibits high sensitivity, making it particularly suitable for detecting weak echoes over long distances. However, its susceptibility to background noise necessitates the implementation of advanced filtering techniques and complex algorithms, which can significantly increase system cost and complexity. …”
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Optimizing additive manufacturing workflows using model-based systems engineering by Mohamed Amine Daoud, Khadija Bekkay Haouari, Meriem Hayani Mechkouri, Amine Ennawaoui, Hicham El hadraoui, Ilias Naser, Mustapha Ouardouz, Kamal Reklaoui

“…Additive Manufacturing (AM) is a transformative technology enabling the production of complex geometries with reduced waste and lead times. …”
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Machine Learning Models for Predicting Thermal Properties of Radiative Cooling Aerogels by Chengce Yuan, Yimin Shi, Zhichen Ba, Daxin Liang, Jing Wang, Xiaorui Liu, Yabei Xu, Junreng Liu, Hongbo Xu

“…The escalating global climate crisis and energy challenges have made the development of efficient radiative cooling materials increasingly urgent. …”
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A Comprehensive Review of Deep Learning Applications in Cotton Industry: From Field Monitoring to Smart Processing by Zhi-Yu Yang, Wan-Ke Xia, Hao-Qi Chu, Wen-Hao Su, Rui-Feng Wang, Haihua Wang

“…DL enhances accuracy, efficiency, and adaptability, promoting the modernization of cotton production and precision agriculture. …”
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Enhancing gastroenterology with multimodal learning: the role of large language model chatbots in digestive endoscopy by Yuanyuan Qin, Yuanyuan Qin, Jianming Chang, Li Li, Li Li, Mianhua Wu, Mianhua Wu

“…IntroductionAdvancements in artificial intelligence (AI) and large language models (LLMs) have the potential to revolutionize digestive endoscopy by enhancing diagnostic accuracy, improving procedural efficiency, and supporting clinical decision-making. …”
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Towards the Integration of Additive Manufacturing for Freeform Steel and Glass Façade Construction by Lia Tramontini

“…For the structural node, three different nodes are designed per the design guidelines of selected metal AM methods. The three node prototypes are manufactured, and compared in terms of their fabrication efficiency and material efficiency. …”
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