A Passive Radar System for Monitoring of Coastal Areas Ship Traffic Using Satellite Illumination Signals by Nguyen Van Quan

“…During development and implementation of the systems, there are a number of problems related to the search of highly efficient processing algorithms, to the optimization of structure and functioning modes when the system is a part of a complex multi-position monitoring system in coastal areas. …”
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The unbreakable chain: the cycle of social inequality – violence, poverty and education by Savaş Varlık, Selahattin Akpınar, Öznur Akpınar, Recep Mehmet Görünü

“…Abstract This research aims to make a scientific contribution toward a better understanding of the complex link between violence, poverty, and education. …”
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Cytokine Couture: Designer IL2 Molecules for the Treatment of Disease by Dashwood A, Ghodsinia AA, Dooley J, Liston A

“…Armed with a better understanding of the structure of IL2 in complex with its receptors, many attempts have been made to create designer IL2 molecules which overcome these problems. …”
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A Hybrid Fault Detection Method of Independent Component Analysis and Auto-Associative Kernel Regression for Process Monitoring in Power Plant by Seunghwan Jung, Jonggeun Kim, Sungshin Kim

“…In complex industrial processes, distributed control systems (DCSs) are currently operated to prevent unplanned shutdowns and major accidents. …”
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Information Fusion of Infrared Images and Vibration Signals for Coupling Fault Diagnosis of Rotating Machinery by Tangbo Bai, Jianwei Yang, Dechen Yao, Ying Wang

“…Rotating machinery has a complicated structure and interaction of multiple components, which usually results in coupling faults with complex dynamic characteristics. Fault diagnosis methods based on vibration signals have been widely used, however, these methods are intricate when identifying coupling faults, especially in the situation where coupling faults share similar patterns. …”
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Connotation and practice of the integration of academic field based on Bourdieu’s theory——taking the cultivation of cyberspace security talents as an example by Qian ZHOU, Haiping HUANG, Le WANG, Yanchun ZHANG, Fu XIAO

“…The deployment of network security has become a crucial strategy for the development of modern nations, with skilled professionals serving as the core driving force behind cybersecurity efforts.Cultivating cybersecurity talents and fostering team building are essential for China's talent reserves and strategic capital accumulation.With economic globalization, 0-day vulnerabilities have constantly emerged in information systems, attack chains have become increasingly complex, threat targets were difficult to detect, and hidden viruses varied over time.Talents trained by traditional universities for network security were unable to adapt to innovative production and practical activities in the new fields, as it was confined to their training structure system.In order to break through the shackles of the internal administrative structure and traditional curriculum system of universities, and ease the contradiction between the uncertainty of cyberspace security situation and the standardization of talent cultivation, the talent cultivation models based on Bourdieu's theory were studied, the fusion meaning of cultural capital in the academic field was analyzed and three practical standards were put forward in terms of teaching content, cultivation model and teaching opportunity of cyberspace security talents in combination with the actual cases of the “Fang class”.In terms of education content, standards and open knowledge systems were established to meet the differentiated needs of students.The mentorship approach was employed to construct habitus, fostering students’ ability to adapt flexibly to problems by adopting different cognitive thinking modes.Favorable teaching opportunities were utilized by tutors in various roles to promote efficient integration of individuals and fields, helping students establish a valuable and stable mindset.By leveraging Bourdieu's theory to explore the integration path of academic fields, it has leveraged the advantages of independently cultivating high-quality talents, vigorously promoting technological innovation and the healthy ecological development of the industry.…”
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Prediction of Auditory Performance in Cochlear Implants Using Machine Learning Methods: A Systematic Review by Beyza Demirtaş Yılmaz

“…However, more research is needed on deep learning applications in complex problems such as comprehension in noise that require time series processing. …”
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Fertility Trends in Serbia during the 1990s by Mirjana Rašević

“… The 1990s represent an exceptionally complex period for the population of Serbia. In addition to the impact of long‑term factors, various tumultuous events affected its demographic development, such as breaking apart of former Yugoslavia, armed conflicts in the neighboring countries, sanctions imposed by the international community, social changes (transition, transformation or regression), deep economic crisis, collapse of social stratification, political problems, institutional crisis, and NATO military intervention. …”
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Parallelizing Quantum Simulation With Decision Diagrams by Shaowen Li, Yusuke Kimura, Hiroyuki Sato, Masahiro Fujita

“…Since people became aware of the power of quantum phenomena in the domain of traditional computation, a great number of complex problems that were once considered intractable in the classical world have been tackled. …”
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Generalized MPC-DSVPWM Methods: Reduction Techniques and Explainable Machine Learning With Conformal Prediction for PMSM Drives by Hasan Ali Gamal Al-Kaf, Sadeq Ali Qasem Mohammed, Kyo-Beum Lee

“…Additionally, machine learning methods have been implemented; however, they require complex optimization methods, as the classification number increases exponentially with the level of the inverter. …”
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Les Kurdes de Syrie, de la “dissimulation” à la “visibilité” ? by Jordi Tejel Gorgas

“…Toutefois, si durant la première moitié du xxe siècle, cette intégration ne présentait pas de problèmes majeurs, l’identité kurde n’étant pas menacée, elle s’est avérée plus complexe avec l’arrivée au pouvoir du parti Ba‘th. …”
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The impact of China’s artificial intelligence development on urban energy efficiency by Jun Zeng, Tian Wang

“…Artificial intelligence (AI) has emerged as a transformative tool in this context, offering innovative solutions to complex energy-related problems. While prior research has examined the energy impacts of digital technologies broadly, few studies have isolated the specific contributions of AI. …”
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Advances in Multi-Source Navigation Data Fusion Processing Methods by Xiaping Ma, Peimin Zhou, Xiaoxing He

“…On the other hand, the introduction of AI technologies like deep learning and reinforcement learning has provided new solutions for multi-source data fusion, particularly enhancing adaptive capabilities in complex and dynamic environments. Additionally, methods based on Factor Graph Optimization (FGO) have also demonstrated advantages in multi-source data fusion, offering better handling of global consistency problems. …”
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Advances in Research on High-Mach-Number Electromagnetic Flow Control Effectiveness by Yang DU, Jun LIU

“…The electromagnetic flow control technology under high-altitude and high-speed flight conditions can be applied in multiple fields such as thermal protection, separation zone control, alleviating ionization blackout problems, aerodynamic shape design, etc. However, the application effects and laws of this technology in various fields have not been systematically summarized. …”
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DIAGNOSTICS OF THE DEVELOPMENT OF INFORMATION AND DIGITAL COMPETENCE OF FUTURE OFFICERS by Роман Буртовий

“…To assess the levels of development of the IDC of future officers, the criteria (motivational and value, cognitive and activity) and the relevant indicators (the presence of motives, value attitudes for self-development, knowledge about IT & DT in general and in the industry, the ability to use DT and IT to solve professional problems) have been determined. The qualitative assessment of the indicators made it possible to characterize the levels of development of future officers' IDC. …”
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Testing convolutional neural network based deep learning systems: a statistical metamorphic approach by Faqeer ur Rehman, Clemente Izurieta

“…Conventional metamorphic testing techniques have certain limitations in verifying deep learning-based models (i.e., convolutional neural networks (CNNs)) that have a stochastic nature (because of randomly initializing the network weights) in their training. …”
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RECENT ADVANCES OF CHOLINESTERASE INHIBITORS PLAYING A CRITICAL ROLE IN THE TREATMENT OF ALZHEIMER’S DISEASE (2020-2022) by Elmas Rumeysa Yıldırım, Nuray Ulusoy Güzeldemirci

“…One of the reasons for this is the complexity of understanding of how the pathology of the disease arises. …”
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The main results of breeding and seed production of perennial grasses on the Don area in 2010–2020 by S. A. Ignatiev, A. A. Regidin, T. V. Gryazeva, K. N. Goryunov

“…In the collection farms of alfalfa there have been tested and agro biologically estimated more than 600 varieties from the world collection of VIR, other research institutions and local hybrids. …”
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RECONFIGURATION OF THE AIRCRAFT INTEGRATED CONTROL SYSTEM REGARDING CONTROL CONSTRAINTS UNDER ACTUATOR FAILURES by A. M. Kulchak, V. V. Kosyanchuk, E. Yu. Zybin

“…For complex MIMO (multi input – multi output) systems there is still no widely accepted universal approach. …”
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Fast autoscaling algorithm for cost optimization of container clusters by José María López, Joaquín Entrialgo, Manuel García, Javier García, José Luis Díaz, Rubén Usamentiaga

“…However, as the number of containers and virtual machines of the cluster increases, resource allocation problems become too complex, and cannot be solved in reasonable time by existing resource allocation models. …”
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