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Littérature scientifique sur le sujet « Daisy networks »

Auteur : Grafiati

Publié le 2 juin 2025

Mis à jour le 31 juillet 2025

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Articles de revues sur le sujet "Daisy networks"

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Menon, Jai, and Kent Treiber. "Daisy." ACM SIGMETRICS Performance Evaluation Review 25, no. 3 (1997): 37–44. http://dx.doi.org/10.1145/270900.270908.

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Becker, Johanna, Zsolt Csizmadia, Jérôme Galtier, Alexandre Laugier, Jácint Szabó, and László Szegő. "An integer programming approach to routing in daisy networks." Networks 47, no. 2 (2006): 116–21. http://dx.doi.org/10.1002/net.20104.

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Baldoni, Roberto, Roberto Beraldi, Roy Friedman, and Robbert van Renesse. "The hierarchical daisy architecture for causal delivery." Distributed Systems Engineering 6, no. 2 (1999): 71–81. http://dx.doi.org/10.1088/0967-1846/6/2/302.

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Kamoto, Risako, Kenjiro Onimura, and Kazuhiro Yamabuki. "One-Pot Syntheses of [c2]Daisy-Chain Rotaxane Networks via Thiol-Ene Reaction and Its Application to Gel Electrolyte for Secondary Battery." Reactions 5, no. 4 (2024): 800–811. http://dx.doi.org/10.3390/reactions5040041.

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A new topological material, the [c2]daisy-chain rotaxane network, was successfully synthesized via a thiol-ene reaction between a [c2]daisy-chain rotaxane, which consists of a host–guest compound (H–G compound) where a crown ether and a secondary ammonium salt are linked, and a multi-branched thiol compound. The resulting network polymer exhibited higher compressive strength compared to one without the [c2]daisy-chain rotaxane. Additionally, the neutralized [c2]daisy-chain rotaxane network, in which the ammonium salt was neutralized and there was no interaction with the crown ether, showed inc

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Yu, Hongwei, Kezhu Song, Junfeng Yang, Chuan Wu, Ke Zhong, and Wengui Lv. "Modeling and Research on Power System of Distributed Sensor Networks for Long Streamers in Marine Seismic Exploration." Sensors 20, no. 1 (2019): 28. http://dx.doi.org/10.3390/s20010028.

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The electric power system plays an important role in sensor networks. In the marine seismic exploration streamer system (MSESS), an underwater power system transmits high-voltage direct current to all nodes in the streamer through a daisy chain structure. As offshore oil exploration develops toward deep water, it is necessary to study long streamers with large-scale sensor networks for deep water exploration. When the length of a streamer is increased to a certain value, the output current of the power supply increases sharply. This results in the activation of the overcurrent protection and t

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Veeravalli, B., and Wong Han Min. "Scheduling divisible loads on heterogeneous linear daisy chain networks with arbitrary processor release times." IEEE Transactions on Parallel and Distributed Systems 15, no. 3 (2004): 273–88. http://dx.doi.org/10.1109/tpds.2004.1264811.

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Imran, Muhammad, Muhammad Hanif Durad, Farrukh Aslam Khan, and Haider Abbas. "DAISY: A Detection and Mitigation System Against Denial-of-Service Attacks in Software-Defined Networks." IEEE Systems Journal 14, no. 2 (2020): 1933–44. http://dx.doi.org/10.1109/jsyst.2019.2927223.

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Han Min, Wong, Bharadwaj Veeravalli, and Gerassimos Barlas. "Design and performance evaluation of load distribution strategies for multiple divisible loads on heterogeneous linear daisy chain networks." Journal of Parallel and Distributed Computing 65, no. 12 (2005): 1558–77. http://dx.doi.org/10.1016/j.jpdc.2005.05.016.

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Ramesham, Rajeshuni. "Reliability of Ceramic Column Grid Array (CCGA717) Interconnect Packages Under Extreme Temperatures for Space Applications*." Journal of Microelectronics and Electronic Packaging 7, no. 1 (2010): 16–24. http://dx.doi.org/10.4071/1551-4897-7.1.16.

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Ceramic column grid array packages have been increasing in use based on their advantages such as high interconnect density, very good thermal and electrical performance, compatibility with standard surface-mount packaging assembly processes, and so on. CCGA packages are used in space applications such as in logic and microprocessor functions, telecommunications, flight avionics, and payload electronics. As these packages tend to have less solder joint strain relief than leaded packages, the reliability of CCGA packages is very important for short-term and long-term space missions. CCGA interco

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Nakayama, Yu, and Kaoru Sezaki. "Per-Flow Throughput Fairness in Ring Aggregation Network with Multiple Edge Routers." Big Data and Cognitive Computing 2, no. 3 (2018): 17. http://dx.doi.org/10.3390/bdcc2030017.

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Ring aggregation networks are often employed by network carriers because of their efficiency and high fault tolerance. A fairness scheme is required in ring aggregation to achieve per-flow throughput fairness and bufferbloat avoidance, because frames are forwarded along multiple ring nodes. N Rate N + 1 Color Marking (NRN + 1CM) was proposed to achieve fairness in ring aggregation networks consisting of Layer-2 Switches (SWs). With NRN + 1CM, frames are selectively discarded based on color and the frame-dropping threshold. To avoid the accumulation of a queuing delay, frames are discarded at u

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Thèses sur le sujet "Daisy networks"

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Ma, Chang Yi. "Functional region based daily-life activity recommendation." Thesis, University of Macau, 2018. http://umaclib3.umac.mo/record=b3950696.

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Cavallie, Mester Jon William. "Using LSTM Neural Networks To Predict Daily Stock Returns." Thesis, Linnéuniversitetet, Institutionen för datavetenskap och medieteknik (DM), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-106124.

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Long short-term memory (LSTM) neural networks have been proven to be effective for time series prediction, even in some instances where the data is non-stationary. This lead us to examine their predictive ability of stock market returns, as the development of stock prices and returns tend to be a non-stationary time series. We used daily stock trading data to let an LSTM train models at predicting daily returns for 60 stocks from the OMX30 and Nasdaq-100 indices. Subsequently, we measured their accuracy, precision, and recall. The mean accuracy was 49.75 percent, meaning that the observed accu

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McGuire, Julia Bayer. "Social ecological food systems| Sustainability lessons from Maine dairy networks." Thesis, The University of Maine, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10300303.

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<p> Milk production has played an integral role in the culture, landscape, and economy of Maine's agriculture. Maine dairy farmers have faced numerous sustainability challenges to economic, environmental, and social aspects of their industry. Like many other complex social ecological systems, the Maine dairy industry faces a gap between scientific knowledge and actionable management or policy. A cultural dichotomy exists between conventional and organic farming. Shifting the focus from this binary, metrics such as social capital may play a key role in solving sustainability issues. Difficultie

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Gurram, Sriharsha. "DESIGN OF A CACC ASSISTANT FOR DAILY DEFENSIVE DRIVING." OpenSIUC, 2019. https://opensiuc.lib.siu.edu/theses/2563.

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Automatic Vehicles is a possible future, but it does not mean that we should forget about improving the present day to day life. Most vehicles have Cruise Control, and few have Adaptive Cruise Control, but very few have Cooperative Adaptive Cruise Control(CACC) because it's an integration of software and hardware as different companies produce different vehicles it's hard to get on common ground. CACC at the core is communication among vehicles and sharing information; in this thesis, I tried to make it usable in any car with just the software used in a smartphone. As everybody has a phone in

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Lee, Joon-Hee. "Rank-Date Distribution Method (R-D Method) For Daily Time-Series Bayesian Networks And Total Maximum Daily Load Estimation." DigitalCommons@USU, 2008. https://digitalcommons.usu.edu/etd/132.

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Daily time series-based models are required to estimate the higher frequency fluctuations of nutrient loads and concentrations. Some mechanistic mathematical models can provide daily time series outputs of nutrient concentrations but it is difficult to incorporate non-numerical data, such as management scenarios, to mechanistic mathematical models. Bayesian networks (BNs) were designed to accept and process inputs of varied types of both numerical and non-numerical inputs. A Rank-Data distribution method (R-D method) was developed to provide large time series of daily predicted flows and Total

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Boyland, Natasha Karissa. "The influence of social networks on welfare and productivity in dairy cattle." Thesis, University of Exeter, 2015. http://hdl.handle.net/10871/19360.

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Cattle are gregarious animals that form stable social groups based on affiliative and dominance relationships. However the husbandry practices of the modern dairy industry typically do not take social relationships into consideration, despite a growing body of evidence demonstrating important effects of social relationships on health and fitness in wild animals. Keeping cattle in large, unstable groups can lead to reduced welfare and productivity due to social stress and further research is needed to provide a beneficial social environment that can instead provide stress buffering effects. Soc

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Bligh, W. O. M. "Application of machine learning and connectionist modeling to an Australian dairy database." Thesis, Queensland University of Technology, 2000. https://eprints.qut.edu.au/36851/1/36851_Bligh_2000.pdf.

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The Australian Dairy Herd Improvement Scheme (ADIDS) provides a database containing both raw and processed data relating to milk production in Australia. This thesis provides estimations of potential milk production for dairy breeding using dairy animal data and artificial neural networks (ANNs). By predicting daughter milk production from data representative of dams in a herd and artificial insemination sires, an evaluation of those potential daughter results can lead to the selection of a breeding sire for that herd. Relevant data fields and derived attributes from the dairy database that si

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Robinson, Philip. "Young homeless people : the importance of informal support networks in their daily lives." Thesis, University of Strathclyde, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.432351.

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Fernández, Moctezuma Rafael de Jesús. "Improving maximum daily salinity regressor performance in the Columbia River Estuary project /." Full text open access at:, 2005. http://content.ohsu.edu/u?/etd,50.

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Hart, Evan A. "GIS and the dairy industry: examining the roles of government regulation and dairy cooperatives in the shipment of fluid milk." Thesis, Virginia Tech, 1996. http://hdl.handle.net/10919/44956.

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<p>This thesis deals with the use of Geographic Information Systems (GIS) in the transport of raw fluid milk from its origin on the farm to the processing plant. Current applications of GIS in transportation planning are discussed. Spatial, physical, administrative and legal constraints affecting the shipment of fluid milk are outlined, especially the roles of government legislation and dairy cooperatives. GIS is used to evaluate milk hauling efficiencies on both local and regional scales. The case study focuses on Rockingham and Augusta counties in northwestern Virginia and the surrounding hi

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Livres sur le sujet "Daisy networks"

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William, Stallings, and William Stallings. Local networks. 3rd ed. Macmillan, 1990.

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William, Stallings. Local networks. 2nd ed. Macmillan, 1987.

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William, Stallings. Local and metropolitan area networks. 4th ed. Macmillan, 1993.

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William, Stallings. Local and metropolitan area networks. 5th ed. Prentice Hall International, 1997.

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William, Stallings. Local and metropolitan area networks. 5th ed. Prentice Hall, 1997.

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William, Stallings. Local and metropolitan area networks. 6th ed. Prentice Hall, 2000.

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William, Stallings. Handbook of computer-communications standards. 2nd ed. H.W. Sams, 1989.

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William, Stallings, and William Stallings. Handbook of computer-communications standards. 2nd ed. H.W. Sams, 1989.

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William, Stallings. Handbook of computer-communications standards. Howard W. Sams, 1987.

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William, Stallings, and William Stallings. Handbook of computer-communications standards. Macmillan, 1987.

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Chapitres de livres sur le sujet "Daisy networks"

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Veeravalli, Bharadwaj, and Jingxi Jia. "Design, Analysis, and Performance Evaluation of an Efficient Resource Unaware Scheduling Strategy for Processing Divisible Loads on Distributed Linear Daisy Chain Networks." In High Performance Computing - HiPC 2008. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-89894-8_35.

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Li, Hui, and He Bai. "Network Evolvable Scheme." In Principle of Architecture, Protocol, and Algorithms for CoG-MIN. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-3596-2_12.

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Abstract As the core component of modern information technology, computer network technology is closely related to social production and daily life. This chapter analyzes the key challenges in network evolution and introduces the identifier extension mechanism based on identifier fallback. Furthermore, it discusses the theoretical foundation of complex networks and the role of artificial intelligence technology in network evolution at a macro level.

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Isaakyan, Irina. "Falling Through the Black Hole." In IMISCOE Research Series. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-67833-2_7.

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AbstractAstronomers argue that stars do not exist in isolation: they become part of galaxies, which are further grouped into intergalactic clusters. So do migrants. ‘People migrate in networks’, notes Alejandro Portes (1995). Therefore, they should learn to obtain membership in their networks and to deal with its requirements (ibid). In application to high-skill and elite migrants, the unanswered question is how they manage to sustain their network membership on a daily basis. Seeking to answer it, this chapter studies the dynamics of global elite migrants’ networks, looking into the most chal

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Patel, Prakashkumar, and Nirav Halvadia. "Information Systems in Indian Dairy Cooperatives: A Case Study of Sabar Dairy." In Lecture Notes in Networks and Systems. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-1744-9_38.

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Salimbeni, Sergio, Nahuel Romera, and Andrés Redchuk. "Digital Twin in a Dairy Factory." In Lecture Notes in Networks and Systems. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-14317-5_9.

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Salman, Al Jizani Mohammed Kadhim, and Humam K. Majeed Al-Chalabi. "Daily Routine Monitoring Using Deep Learning Models." In Networks and Systems in Cybernetics. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-35317-8_28.

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Hellström, Daniel, and Henrik Pålsson. "RFID-Enabled Visibility in a Dairy Distribution Network." In Intelligent Agrifood Chains and Networks. Wiley-Blackwell, 2011. http://dx.doi.org/10.1002/9781444339895.ch16.

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Urkude, Shubhangi V., and D. Saravanan. "Deterioration of Daily Life in COVID-19." In Lecture Notes in Networks and Systems. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-1976-3_15.

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Li, Hui, and He Bai. "Network Security." In Principle of Architecture, Protocol, and Algorithms for CoG-MIN. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-3596-2_11.

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Abstract In cyberspace, everything is interconnected, sharing a common destiny. The functioning of society, government operations, and daily necessities like clothing, food, housing, and transportation all rely on software, data, and networks.

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Shaker, Rana, Nada Ibrahim, and Slim Abdennadher. "Unveiling Depression: Monitoring Daily Activity Changes for Anomalies." In Lecture Notes in Networks and Systems. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-65522-7_57.

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Actes de conférences sur le sujet "Daisy networks"

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Sharma, Jatin, Rahul Chauhan, and Nagendar Yamsani. "Enhanced Flower Classification Using Convolutional Neural Networks: A Comparative Study of Bellflower, Common Daisy, Rose, and Sunflower Identification." In 2024 International Conference on Information Science and Communications Technologies (ICISCT). IEEE, 2024. https://doi.org/10.1109/icisct64202.2024.10956566.

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Escoto, Louis Mariae C., Gerwin Marie V. Maranan, Karyll Kaye B. Panajon, Criselle J. Centeno, Mark Anthony S. Mercado, and Marilou B. Mangrobang. "Eminder: Mental Health Companion Bot for Daily Monitoring and Notifications." In 2024 International Conference on Sustainable Communication Networks and Application (ICSCNA). IEEE, 2024. https://doi.org/10.1109/icscna63714.2024.10863922.

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Yun, Suyeon, Sunghan Lee, GyeongBong Kim, Sung Pil Cho, Semin Ryu, and In Cheol Jeong. "ECG-based Daily Activity Recognition Using 1D Convolutional Neural Networks." In 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2024. https://doi.org/10.1109/embc53108.2024.10782143.

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We, Chenchen. "Daily Activity Recognition with Gait Segmentation and Hybrid Neural Networks." In 2024 5th International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI). IEEE, 2024. https://doi.org/10.1109/ichci63580.2024.10807920.

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Liu, Wenfeng, Zhicheng Fan, Zhuanjia Xu, et al. "Multidimensional daily sleep monitoring system based on IoT technology." In 4th International Conference on Green Communication, Network, and Internet of Things (CNIoT 2024), edited by Xiangjie Kong and Cheng Siong Chin. SPIE, 2024. http://dx.doi.org/10.1117/12.3052477.

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Ajmone Marsan, Marco, Andrea F. Fumagalli, Emilio Leonardi, and Fabio Neri. "R-daisy: an all-optical packet network." In Advanced Networks and Services, edited by Robert A. Cryan, P. Nalinaj Fernando, Pierpaolo Ghiggino, and John M. Senior. SPIE, 1995. http://dx.doi.org/10.1117/12.201285.

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Azman, Mohamed, Jithu G. Panicker, and Rajiv Kashyap. "Wireless Daisy Chain and Tree Topology Networks for Smart Cities." In 2019 IEEE International Conference on Electrical, Computer and Communication Technologies (ICECCT). IEEE, 2019. http://dx.doi.org/10.1109/icecct.2019.8869252.

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Jia, Jingxi, and Bharadwaj Veeravalli. "Resource Unaware Computing - A Distributed Strategy for Divisible Load Processing on Linear Daisy Chain Networks." In 2006 14th IEEE International Conference on Networks. IEEE, 2006. http://dx.doi.org/10.1109/icon.2006.302689.

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Oļehnovičs, Edgars, Artūrs Laizāns, Aija Kļaviņa, Juris Porozovs, Viktors Veliks, and Kārlis Freivalds. "Development of the Application to Promote Daily Physical Activities in Adolescents." In 80th International Scientific Conference of the University of Latvia. University of Latvia Press, 2022. http://dx.doi.org/10.22364/htqe.2022.80.

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Many people, especially adolescents, use mobile applications to control their physical activities and reduce sedentary behaviors. While a large variety of sports applications are available, detection of the activity type is a new research area. There are also specific methods how to measure and collect data or control the type of sports activities. Literature research shows that analysis of the current sports application market is evolving in a fast speed. Some authors show that neuron networks can help detect and analyze specific data of sports activities using sensors or mobile phone. The ai

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"Artificial Intelligence Solutions for Optimizing Computer Network Technology: A Research Exploration." In International Conference on Cutting-Edge Developments in Engineering Technology and Science. ICCDETS, 2024. http://dx.doi.org/10.62919/hdge2129.

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Advancements in computer network technology signify a pivotal direction for the evolution of society in the future. The fusion of artificial intelligence (AI) with computer technology not only enhances everyday life but has also become an essential aspect of daily routines. Artificial intelligence, founded on computer-based technologies and distinguished by its superior intellect, is emerging as a key player in the realm of computer networks. To expedite the integration of AI into both social production and daily living, it is crucial to start with a clear understanding of the importance and n

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Rapports d'organisations sur le sujet "Daisy networks"

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Soloviev, Vladimir, Victoria Solovieva, Anna Tuliakova, Alexey Hostryk, and Lukáš Pichl. Complex networks theory and precursors of financial crashes. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/4119.

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Based on the network paradigm of complexity in the work, a systematic analysis of the dynamics of the largest stock markets in the world and cryptocurrency market has been carried out. According to the algorithms of the visibility graph and recurrence plot, the daily values of stock and crypto indices are converted into a networks and multiplex networks, the spectral and topological properties of which are sensitive to the critical and crisis phenomena of the studied complex systems. This work is the first to investigate the network properties of the crypto index CCI30 and the multiplex networ

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Bentley, Jenn A., Hugo Ramirez, Leo L. Timms, et al. Start to Farm: New Farmer Learning Network’s Dairy Series. Iowa State University, 2018. http://dx.doi.org/10.31274/ans_air-180814-334.

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Bentley, Jennifer A., Hugo Ramirez, Leo L. Timms, Larry F. Tranel, Beth E. Doran, and John Olthoff. Start to Farm: New Farmer Learning Network’s Dairy Series. Iowa State University, 2017. http://dx.doi.org/10.31274/ans_air-180814-382.

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Kaiser, D. P., P. Y. Hughes, E. H. Mason, T. R. Karl, and W. A. Brower. United States Historical Climatology Network daily temperature and precipitation data. Office of Scientific and Technical Information (OSTI), 1992. http://dx.doi.org/10.2172/10146509.

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Kaiser, D. P., P. Y. Hughes, E. H. Mason, T. R. Karl, and W. A. Brower. United States Historical Climatology Network daily temperature and precipitation data. Office of Scientific and Technical Information (OSTI), 1992. http://dx.doi.org/10.2172/5269390.

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Easterling, D. R. United States Historical Climatology Network Daily Temperature and Precipitation Data (1871-1997). Office of Scientific and Technical Information (OSTI), 2002. http://dx.doi.org/10.2172/814188.

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Easterling, D., T. Karl, J. Lawrimore, S. Del Greco, Dale Kaiser, and Linda Allison. United States Historically Climatology Network Daily Temperature, Precipitation, and Snow Data for 1871-1997. Office of Scientific and Technical Information (OSTI), 1999. http://dx.doi.org/10.2172/1157067.

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Соловйов, В. М., та В. В. Соловйова. Моделювання мультиплексних мереж. Видавець Ткачук О.В., 2016. http://dx.doi.org/10.31812/0564/1253.

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From the standpoint of interdisciplinary self-organization theories and synergetics analyzes current approaches to modeling socio-economic systems. It is shown that the complex network paradigm is the foundation on which to build predictive models of complex systems. We consider two algorithms to transform time series or a set of time series to the network: recurrent and graph visibility. For the received network designed dynamic spectral, topological and multiplex measures of complexity. For example, the daily values the stock indices show that most of the complexity measures behaving in a ch

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Seneviratne, Kalinga. Exploring the role of Buddhist monks’ and nuns’ engagement in community development as catalysts for social change and sustainable development in Lao People’s Democratic Republic: A case study of the Buddhism for Development Project at Ban Bungsanthueng, Nongbok District, Khammouane Province, by Toung Eh Synuanchanh. Unitec ePress, 2018. http://dx.doi.org/10.34074/thes.revw4499.

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The topic of this research report is an important one in the context of Asia’s rapid economic development in recent years, and the need to rethink development policy and especially methodologies of development communications, so the mistakes of the past will not be replicated. Thus, the study is an important initiative at this period of time. The research takes as a case study the Buddhism for Development Project (BDP) implemented at Ban Bungsanthueng village in the Khammouane Province by its Buddhist Volunteer Spirit for Community network (BVSC network). The fieldwork took place at the BDP’s

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Duvvuri, Sarvani, and Srinivas S. Pulugurtha. Researching Relationships between Truck Travel Time Performance Measures and On-Network and Off-Network Characteristics. Mineta Transportation Institute, 2021. http://dx.doi.org/10.31979/mti.2021.1946.

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Trucks serve significant amount of freight tonnage and are more susceptible to complex interactions with other vehicles in a traffic stream. While traffic congestion continues to be a significant ‘highway’ problem, delays in truck travel result in loss of revenue to the trucking companies. There is a significant research on the traffic congestion mitigation, but a very few studies focused on data exclusive to trucks. This research is aimed at a regional-level analysis of truck travel time data to identify roads for improving mobility and reducing congestion for truck traffic. The objectives of

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