Relevant bibliographies by topics / Combined methods of training

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Combined methods of training'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Combined methods of training"

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Cohal, Dumitru Cătălin. "Physical Training Methods in Combined Sports. An Analysis Applied to Military Pentathlon." International conference KNOWLEDGE-BASED ORGANIZATION 31, no. 2 (2025): 125–33. https://doi.org/10.2478/kbo-2025-0058.

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Abstract The training methods in combined sports, such as military pentathlon, require a complex, interdisciplinary and personalized approach, aiming at the development of motor skills. Training in the military pentathlon integrates specific training for shooting, obstacle running, obstacle swimming, precision and distance grenade throwing and cross-country running. The five events require distinct skills such as reaction speed, endurance, strength, strength, accuracy and coordination and combinations of these. Modern training methods include integrated training, which combines event-specific
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Tegegne Nigussie, Yared. "Effects of continuous, interval, and combined training methods on middle- and long-distance runners’ performance." Retos 58 (July 30, 2024): 418–25. http://dx.doi.org/10.47197/retos.v58.102976.

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Introduction: Running performance is largely influenced by training methods, including Continuous, Interval, and combined training methods. However, which training method that best improves the performance has not been identified. Aim: This study was to investigate how training methods continuous, interval, and combined training affect distance running performance. Methods: A total of thirty (n=30) athletes from the Ethiopia Hotel Athletics Club were selected as subjects. The studies included trained runners without previous injuries. Interventions lasted at least 12 weeks, with participants a
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Jariono, Gatot, Nurhidayat, Pungki Indarto, Vera Septi Sistiasih, Haris Nugroho, and Uzizatun Maslikah. "Physical Activity Training Methods to Improve the Physical Condition of Volleyball Players: A Systematic Review." Physical Education Theory and Methodology 24, no. 1 (2024): 118–29. http://dx.doi.org/10.17309/tmfv.2024.1.15.

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Study purpose. The study was aimed to identify exercise techniques used to improve the physical condition of volleyball players through literature studies. Materials and methods. A systematic review of these previous studies was conducted. We studied articles published between 2014 and 2023 that explained how to prepare volleyball players to have better physical condition. Scopus, Web of Science, Google Scholar, and PubMed were used for the electronic search. We collected all the articles that discussed how to improve physical performance through exercise. Results. To improve the physical cond
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Yuxuan, Bao. "A STUDY OF METHODS FOR TRAINING WITH DIFFERENT DATASETS IN IMAGE CLASSIFICATION." Advances in Engineering: an International Journal (ADEIJ), Vol.2, No.4 2, no. 4 (2019): 01–18. https://doi.org/10.5281/zenodo.3268551.

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This research developed a training method of Convolutional Neural Network model with multiple datasets to achieve good performance on both datasets. Two different methods of training with two characteristically different datasets with identical categories, one with very clean images and one with real-world data, were proposed and studied. The model used for the study was a neural network derived from ResNet. Mixed training was shown to produce the best accuracies for each dataset when the dataset is mixed into the training set at the highest proportion, and the best combined performance when t
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Hansen, Gyde. "Retrospection methods in translator training and translation research." Journal of Specialised Translation, no. 5 (January 25, 2006): 2–41. https://doi.org/10.26034/cm.jostrans.2006.763.

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This article presents the results of the Copenhagen Retrospection Project which was carried out at CBS in 2004 in connection with research in translation processes. It is a systematic comparison of several methods for introspection, the Integrated Problem and Decision Report (IPDR) by Gile (2004), Retrospection with Replay with Translog (R+Rp) and Retrospection with Replay combined with cognitive clarification via an immediate dialogue(ID) between the subject and the observer (R+Rp+ID). The methods were tested and compared in terms of their applicability, their influence on the number of probl
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Malutan, Raul, Pedro Gómez Vilda, and Monica Borda. "Combined Clustering Methods for Microarray Data Analysis." Advanced Engineering Forum 8-9 (June 2013): 508–15. http://dx.doi.org/10.4028/www.scientific.net/aef.8-9.508.

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Data classification has an important role in analyzing high dimensional data. In this paper Gene Shaving algorithm was used for a previous supervised classification and once the cluster information was obtained, data was classified again with supervised algorithms like Support Vector Machine (SVM) and k-Nearest Neighbor (k-NN) for an optimal clustering. These algorithms have proven to be useful when the classes of the training data and the attributes of each class are well established. The algorithms were run on several data sets, observing that the quality of the obtained clusters is dependen
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Wang, Mei, Zeng Zhang, and Mi Xu. "Postgraduate Training Performance Evaluation Applying Weighting and Comprehensive Fuzzy Evaluation Methods." International Journal of Emerging Technologies in Learning (iJET) 16, no. 01 (2021): 124. http://dx.doi.org/10.3991/ijet.v16i01.18231.

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Postgraduate training performance evaluation is an important part of higher education evaluation. In order to quantitatively evaluate the performance of postgraduate training combined with the needs of talent training in colleges and universities, a comprehensive evaluation system for postgraduate train-ing performance is designed and proposed. The analytic hierarchy process and the entropy method are combined to determine the weights of seven in-put and output indicators, such as funding input, teacher source input, sci-entific research ability, and graduate output quality. The comprehensive
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Sánchez-Sixto, Alberto, Andrew J. Harrison, and Pablo Floría. "Effects of Plyometric vs. Combined Plyometric Training on Vertical Jump Biomechanics in Female Basketball Players." Journal of Human Kinetics 77, no. 1 (2021): 25–35. http://dx.doi.org/10.2478/hukin-2021-0009.

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Abstract The purpose of this study was to assess and compare the effects of plyometric training and combined training programs on vertical jump kinematics and kinetics of female basketball players. Thirty-six female basketball players were included in the study and further divided into three groups: plyometric training, n = 11; combined training n =13; and a control group, n =12. Combined training comprised full squat exercise with low resistance (50-65% 1RM) and low volume (3-6 repetitions/set) combined with repeated jumps. Plyometric training included drop jumps and repeated jumps. Both trai
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Utomo, Ardyansyah Arief Budi, Nurhasan Nurhasan, Oce Wiriawan, and Heryanto Nur Muhammad. "The Effect of Combined Method Training Circuit Training Plyometric on Power and Strength." International Journal of Emerging Research and Review 2, no. 1 (2024): 000064. http://dx.doi.org/10.56707/ijoerar.v2i1.64.

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Objectives: The circuit training plyometric and 2 variable bound (power and strength) methods have not been combined much in research. This research tries to combine them to improve the quality of professional futsal athletes. Method: This research design uses research design matching only design. This type of research uses quasi experiments. The population in this research are professional futsal athletes in Madiun City, numbering 100 people. Meanwhile, the sample used is totalling 30 people. This research is limited only to manifold samples_sex the man who has an age between 18 and 20 years.
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Chekle, Belayneh. "The effects of plyometric and resistance training on linear sprinting speed and repeated sprinting ability of youth players in Ethiopia." SPORT TK-Revista EuroAmericana de Ciencias del Deporte 14 (February 28, 2025): 16. https://doi.org/10.6018/sportk.572191.

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The study investigated the effects of resistance training, plyometric training, and resistance and plyometric training combined on linear-speed and repeated sprinting ability (RSA) of youth soccer players. The authors used a randomized block design, randomly assigning thirty-six male soccer players (aged 18 ± 1.212 years, with a body weight of 57 ± 3.580 kg) to one of three groups: plyometric exercise, combined plyometric and resistance exercise, and resistance exercise. The authors analyzed each group's performance gains by comparing the pretest and post-test performance scores using paired s
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Dissertations / Theses on the topic "Combined methods of training"

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Hawkins, Marcus. "Unilateral or Bilateral Training to Improve Amateur Female Handball Players’ Sprint Acceleration and Change of Direction Ability : A Quantitative Study Comparing Two Training Methods." Thesis, Gymnastik- och idrottshögskolan, GIH, Institutionen för idrotts- och hälsovetenskap, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:gih:diva-4374.

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Aim The aim of the study was to identify the difference between unilateral and bilateral training and their effect on female handball players sprint acceleration and change of direction (COD) ability. The research question was “What differences are there between the effect of combined training performed unilaterally and training performed bilaterally on female handball players’ sprint acceleration ability and COD ability?” Method 60 female (age: 20 ± 5yr) handball players participated in the study, 30 in each group. A loss of 30 subjects occurred, leaving total of 30 subjects finished the st
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Taylor, Carol A. "The Effects of a Combined Mathematics Content/Methods Course Involving Learning Cycles on Preservice Elementary Teachers' Beliefs about the Nature, Teaching and Learning of Mathematics." Diss., Temple University Libraries, 2009. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/22535.

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CITE/Mathematics and Science Education<br>Ed.D.<br>The purpose of this study was to determine whether a one-semester combined mathematics content/methods course based on Simon's (1994) Learning Cycle framework for the mathematical preparation of preservice elementary teachers was more effective at aligning preservice teachers' beliefs with the philosophy of the Standards documents (NCTM, 1989, 1991, 1995, 2000) and other reform literature than another content/methods course. While the six-cycled Learning Cycles framework has been used in separate content and methods courses (Simon, 1995), it h
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Nguyen, Thanh Tien. "Ensemble Learning Techniques and Applications in Pattern Classification." Thesis, Griffith University, 2017. http://hdl.handle.net/10072/366342.

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It is widely known that the best classifier for a given problem is often problem dependent and there is no one classification algorithm that is the best for all classification tasks. A natural question that arise is: can we combine multiple classification algorithms to achieve higher classification accuracy than a single one? That is the idea behind a class of methods called ensemble method. Ensemble method is defined as the combination of several classifiers with the aim of achieving lower classification error rate than using a single classifier. Ensemble methods have been applying to various
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Pilát, Zdeněk. "Optical Micromanipulation Techniques Combined with Microspectroscopic Methods." Doctoral thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2015. http://www.nusl.cz/ntk/nusl-234266.

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Předložená dizertační práce se zabývá kombinací optických mikromanipulací s mikrospektroskopickými metodami. Využili jsme laserovou pinzetu pro transport a třídění živých mikroorganismů, například jednobuněčných řas, či kvasinek. Ramanovskou spektroskopií jsme analyzovali chemické složení jednotlivých buněk a tyto informace jsme využili k automatické selekci buněk s vybranými vlastnostmi. Zkombinovali jsme pulsní amplitudově modulovanou fluorescenční mikrospektroskopii, optické mikromanipulace a jiné techniky ke zmapování stresové odpovědi opticky zachycených buněk při různých časech působení,
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Walker, Adam John. "Combined catalytic methods in the preparation of oxycodone." Thesis, University of Cambridge, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.615849.

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Chitti, Abhishek. "ASSESS MATERIAL PROPERTIES OF CONCRETE USING COMBINED NDT METHODS." OpenSIUC, 2019. https://opensiuc.lib.siu.edu/theses/2490.

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The aim of this research is to assess the material properties of concrete like modulus of elasticity, compressive strength, and Poisson’s ratio using various nondestructive Testing (NDT) methods like Ultrasonic Pulse Velocity (UPV) and Rebound Hammer (RH). Assessment of material properties of concrete is very important as they are used for structural design process. Various NDT methods are applied to ensure the quality of concrete specimens but they can also be used to find material properties. UPV is a NDT method which is used to test the internal condition of the concrete specimen. RH is a s
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Ліщук, Владислав Сергійович, and Н. М. Сиромля. "Innovative methods of foreign languages training." Thesis, Київський національний університет технологій та дизайну, 2021. https://er.knutd.edu.ua/handle/123456789/18224.

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Oddsson, Finnur. "Fluency and controlled-operant training methods." Morgantown, W. Va. : [West Virginia University Libraries], 1998. http://etd.wvu.edu/templates/showETD.cfm?recnum=222.

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Thesis (M.A.)--West Virginia University, 1998.<br>Title from document title page. Document formatted into pages; contains viii, 79 p. : ill. Includes abstract. Includes bibliographical references (p. 66-68).
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Revell, Emily. "Combined cognitive remediation and social cognition training in first episode psychosis." Thesis, University of Manchester, 2017. https://www.research.manchester.ac.uk/portal/en/theses/combined-cognitive-remediation-and-social-cognition-training-in-first-episode-psychosis(a309c184-9478-4763-b2a2-2547463e08da).html.

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Introduction: Impaired neurocognition, especially social cognition, predicts disability in schizophrenia. Early intervention to target impairment is theoretically attractive as a means to minimise chronic disability. Many trials confirm that Cognitive Remediation (CR) produces meaningful, durable improvements in cognition and functioning but few interventions remediate social cognition or focus on the early stages of schizophrenia. Methods: A systematic review and meta-analysis of 11 randomised controlled trials (RCTs) of CR in first episode psychosis (FEP) was completed. A randomised controll
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Abou, Ghadir Mohamed Mohamed Moustafa. "Combined finite strip and finite element methods in structural analysis." Thesis, University of Leeds, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.446434.

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Books on the topic "Combined methods of training"

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Finley, Dorothy L. Combined arms structured simulation-based training programs: Reflections of key developers. U.S. Army Research Institute for the Behavioral and Social Sciences, 2000.

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Kudinov, Anatoliy, Svetlana Ziganshina, and Kirill Husainov. Calculation of thermal schemes of combined-cycle gas installations of thermal power plants. INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/1865669.

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The fundamentals of the theory of increasing the thermal efficiency of power plants through the use of gas turbine and combined-cycle technologies are presented. The classification is given, the basic and calculated thermal schemes, parameters and characteristics of gas turbine and combined-cycle gas installations of various types are given, the principles of their operation are described. The designs of combustion chambers and features of fuel combustion in the combustion chambers of gas turbine installations are given. Methods and examples of calculation of thermal schemes of gas turbine ins
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Konnov, Igor. Combined Relaxation Methods for Variational Inequalities. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-642-56886-2.

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Muñoz-López, Alejandro, Redha Taiar, and Borja Sañudo, eds. Resistance Training Methods. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-81989-7.

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Corapi, Robert. Superhero training methods. North Yard Publishing, 2013.

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Hart, Lois Borland. Training methods that work: 17 tried and tested training methods. Kogan Page, 1992.

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Gao, Jiali, and Mark A. Thompson, eds. Combined Quantum Mechanical and Molecular Mechanical Methods. American Chemical Society, 1998. http://dx.doi.org/10.1021/bk-1998-0712.

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1962-, Gao Jiali, Thompson Mark A. 1957-, American Chemical Society. Division of Computers in Chemistry., and American Chemical Society Meeting, eds. Combined quantum mechanical and molecular mechanical methods. American Chemical Society, 1998.

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1939-, Chattopadhyaya Brajadulal, ed. Combined methods in Indology and other writings. Oxford University Press, 2002.

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Niblett, B. S. Training methods and materials. National Development Centre for School Management Training, 1986.

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Book chapters on the topic "Combined methods of training"

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Huang, Zeqin, and Zhongzhi Shi. "Image Caption Combined with GAN Training Method." In IFIP Advances in Information and Communication Technology. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-46931-3_29.

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Wilk, Tomasz, and Michał Woźniak. "Comparison of Fuzzy Combiner Training Methods." In Computational Collective Intelligence. Technologies and Applications. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34630-9_17.

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Yin, Yunxia, Jiaxun Liu, Zhanji Wei, Yao Mu, and Lihuan Yuan. "Design of Electromagnetic Environment Analysis and Simulation Deduction System for Equipment Testing." In Lecture Notes in Mechanical Engineering. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-97-7887-4_33.

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Abstract The electromagnetic environment on the battlefield is an important factor affecting the combat effectiveness of equipment, and using electromagnetic environment software for equipment testing and training has become one of the current mainstream methods. In response to the problem that the original simulation training system can only set initial conditions and be automatically executed by computers according to the model, and cannot be combined with equipment for electromagnetic countermeasure support training, an equipment testing electromagnetic environment analysis and simulation d
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Rippel, Oliver, and Dorit Merhof. "Anomaly Detection for Automated Visual Inspection: A Review." In Bildverarbeitung in der Automation. Springer Berlin Heidelberg, 2023. http://dx.doi.org/10.1007/978-3-662-66769-9_1.

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AbstractAnomaly detection (AD) methods that are based on deep learning (DL) have considerably improved the state of the art in AD performance on natural images recently. Combined with the public release of large-scale datasets that target AD for automated visual inspection (AVI), this has triggered the development of numerous, novel AD methods specific to AVI. However, with the rapid emergence of novel methods, the need to systematically categorize them arises. In this review, we perform such a categorization, and identify the underlying assumptions as well as working principles of DL-based AD
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Breustedt, Niklas, Paolo Climaco, Jochen Garcke, et al. "On the Interplay of Subset Selection and Informed Graph Neural Networks." In Cognitive Technologies. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-83097-6_10.

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Abstract Machine learning techniques paired with the availability of massive datasets dramatically enhance our ability to explore the chemical compound space by providing fast and accurate predictions of molecular properties. However, learning on large datasets is strongly limited by the availability of computational resources and can be infeasible in some scenarios. Moreover, the instances in the datasets may not yet be labelled and generating the labels can be costly, as in the case of quantum chemistry computations. Thus, there is a need to select small training subsets from large pools of
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Gierecker, Johann, Daniel Schoepflin, Ole Schmedemann, and Thorsten Schüppstuhl. "Configuration and Enablement of Vision Sensor Solutions Through a Combined Simulation Based Process Chain." In Annals of Scientific Society for Assembly, Handling and Industrial Robotics 2021. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-74032-0_26.

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Abstract Machine vision solutions can perform within a wide range of applications and are commonly used to verify the operation of production systems. They offer the potential to automatically record assembly states and derive information, but simultaneously require a high effort of planning, configuration and implementation. This generally leads to an iterative, expert based implementation with long process times and sets major barriers for many companies. Furthermore the implementation is task specific and needs to be repeated with every variation of product, environment or process. Therefor
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Scala, Francesco, Sergio Flesca, and Luigi Pontieri. "Play it Straight: An Intelligent Data Pruning Technique for Green-AI." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-78977-9_5.

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Abstract The escalating climate crisis demands urgent action to mitigate the environmental impact of energy-intensive technologies, including Artificial Intelligence (AI). Lowering AI’s environmental impact requires adopting energy-efficient approaches for training Deep Neural Networks (DNNs). One such approach is to use Dataset Pruning (DP) methods to reduce the number of training instances, and thus the total energy consumed. Numerous DP methods have been proposed in the literature (e.g., GraNd and Craig), with the ultimate aim of speeding up model training. On the other hand, Active Learnin
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Johnson, Amy Leigh, Katie Oven, Nick Rosser, et al. "7. Integrating ethnographic and physical science methods in interdisciplinary research projects." In Critical Physical Geography: Interdisciplinary Approaches to Nature, Power and Politics. Open Book Publishers, 2025. https://doi.org/10.11647/obp.0418.07.

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Researchers and ‘in-country’ Research Associates in interdisciplinary teams combine expertise and experience to tackle transdisciplinary problems. However, there is little instruction available to guide researchers or Research Associates when stepping outside disciplinary comfort zones. The authors discuss how a Critical Physical Geography approach supported team members in developing boundary crossing research in the Sajag-Nepal project. They share three pedagogical moments in team training and effects: 1) Knowledge (learning across disciplines); 2) Sensibility (ethnography as a stepping ston
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Degn, Lise, Hanne Selberg, and Anne-Lene Rye Markussen. "Learning Without a Teacher: Perceptions of Peer-to-Peer Learning Activities in Simulation Training." In How Can we Use Simulation to Improve Competencies in Nursing? Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-10399-5_7.

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AbstractThis chapter reports from an experimental study carried out at University College Copenhagen. In the experiment, fifth-semester nursing students were subjected to an intensified simulation intervention, combined with supporting elements designed to increase collaborative and peer learning. One supporting element was a series of peer-to-peer sessions in which students in small groups trained technical nursing skills for mastery learning, e.g., duodenal tube placement. We describe the study and analyze how the students perceive strengths and weaknesses of the peer-to-peer format and how
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Han, Zhen, Wei Yan, and Gang Liu. "A Performance-Based Urban Block Generative Design Using Deep Reinforcement Learning and Computer Vision." In Proceedings of the 2020 DigitalFUTURES. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4400-6_13.

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AbstractIn recent years, generative design methods are widely used to guide urban or architectural design. Some performance-based generative design methods also combine simulation and optimization algorithms to obtain optimal solutions. In this paper, a performance-based automatic generative design method was proposed to incorporate deep reinforcement learning (DRL) and computer vision for urban planning through a case study to generate an urban block based on its direct sunlight hours, solar heat gains as well as the aesthetics of the layout. The method was tested on the redesign of an old in
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Conference papers on the topic "Combined methods of training"

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Dorneanu, Bogdan, Vasileios K. Mappas, and Harvey Arellano-Garcia. "A Novel Approach to Gradient Evaluation and Efficient Deep Learning: A Hybrid Method." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.120349.

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Deep learning faces significant challenges in efficiently training large-scale models. These issues are closely linked, as efficient training often depends on precise and computationally feasible gradient calculations. This work introduces innovative methodologies to improve deep learning network (DLN) training in complex systems. A novel approach to DLN training is proposed by adapting the block coordinate descent (BCD) method, which optimizes individual layers sequentially. This is combined with traditional batch-based training to create a hybrid method that harnesses the strengths of both t
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Chu, Songkun, Zhenjia Chen, and Lihui Wang. "Virtual Simulation Experiment Training Platform of Radio Measurement Technology Based on Electromagnetic Spectrum Monitoring Method Combined Online and Offline." In 2024 Photonics & Electromagnetics Research Symposium (PIERS). IEEE, 2024. http://dx.doi.org/10.1109/piers62282.2024.10618624.

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Abele, Lilita, Baiba Rivza, Linda Alksne, Peteris Rivza, and Una Libkovska. "FINANCIAL BENEFITS OF IMPLEMENTING PAPERLESS MANAGEMENT IN MUNICIPALITIES." In 24th SGEM International Multidisciplinary Scientific GeoConference 2024. STEF92 Technology, 2024. https://doi.org/10.5593/sgem2024/5.1/s21.67.

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The transition to paperless management in municipalities is an essential step in achieving the goals of environmental economics and sustainability. To assess the benefits of such a transition and find weaknesses, the municipality of Liepaja (Latvia), in cooperation with the municipalities of Vila Nova de Poiares (Portugal) and Mielec (Poland), implemented a joint project. The present research evaluated the financial benefits of switching to paperless management as well as the benefits of training municipal employees to improve their digital skills. The research analysed and compared data colle
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Popikov, Petr, P. Nartov, and Vladimir Pryadkin. "STUMP REMOVAL: AN OVERVIEW OF METHODS, TECHNOLOGIES AND MACHINES." In PROMISING AREAS OF DEVELOPMENT OF THE AUTOMOTIVE INDUSTRY AND PERSONNEL TRAINING. FSBE Institution of Higher Education Voronezh State University of Forestry and Technologies named after G.F. Morozov, 2024. https://doi.org/10.58168/auinpt2024_89-120.

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The article provides a comprehensive review of methods and technologies for stump and tree removal used in forestry and agriculture. Mechanical, chemical, biological, fire-based, and combined approaches are examined, along with their advantages, disadvantages, and conditions of application. Special attention is given to modern technical equipment, including stump pullers, mulchers, and drilling units, which enhance productivity and minimize environmental impact. Recommendations are provided for selecting the optimal method depending on landscape characteristics, vegetation type, and project go
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Naydenova, Stefania, and Evgeniya Dimitrova. "COMBINED METHODS OF PHYSIOTHERAPY IN CASE OF CARPAL TUNNEL SYNDROME." In INTERNATIONAL SCIENTIFIC CONGRESS “APPLIED SPORTS SCIENCES”. Scientific Publishing House NSA Press, 2022. http://dx.doi.org/10.37393/icass2022/145.

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ABSTRACT Purpose: This study aims to compare the efficacy of two different physiotherapy methods for relieving the symptoms of carpal tunnel syndrome (CTS), to supplement already imposed methods, and to summarize a new methodology for prevention. Relevance: Improving the overall physical condition of patients, combating a sedentary lifestyle, and training in the correct body position is the way to prevent the disease. Our study provides scientific evidence to justify the role of physiotherapy for the treatment and prevention of relapses in this condition. Subjects: The randomized controlled tr
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Vasileva, L. S. "EFFECTS OF BIOFEEDBACK TRAINING ON SUPPORT REACTION IN VIBRATION DISEASE." In The 4th «OCCUPATION and HEALTH» International Youth Forum (OHIYF-2022). FSBSI «IRIOH», 2022. http://dx.doi.org/10.31089/978-5-6042929-6-9-2022-1-40-43.

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Introduction: Vibration disease (VD) is the disease with many different symptoms. Non-drug methods are actively used in the methods of its correction. For example, with biofeedback (BFB). The goal is to assess the impact of BFB training on the sensitive area during the correction of balance disorders in patients with VD associated with the combined effects of local and general vibration. Methods: 30 men were examined who were observed with VD associated with combined exposure of local and general vibration (age 48.4±2.1 years). Stimulation ENMG of lower extremities was performed according to t
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Dobrowolska-Opała, Magdalena, and Grzegorz Gudzbeler. "Selection of training methods in systems dedicated to detection of chemical hazards." In The 19th International Conference on Modeling & Applied Simulation. CAL-TEK srl, 2020. http://dx.doi.org/10.46354/i3m.2020.mas.023.

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The paper presents the process of training methods’ selection in systems dedicated to detection of chemical hazards. By examining most common training methods used in detection systems, authors indicates which of them are the most relevant to hazardous chemical substance detection systems, assuming that basic efforts focus on the system as the whole (mainly on detection components) rather than the training module. Furthermore, the indicated methods are characterized in detail and combined with overall utility and economic analysis related to the dimension of the resources involved in the work
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Xin, ZHAO, LI Yan, DING Li, Zhang LuDan, Zhang WenBo, and Zhu ZhaoWei. "Probe into the Methods of Flight Training Based on Special Flight Environment." In Applied Human Factors and Ergonomics Conference. AHFE International, 2018. http://dx.doi.org/10.54941/10014.

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With the changing nature of modern warfare, warfighters have to equip with agile fighting skills and robust psychological qualities. Only by staying calm and being unruffled when facing complicated circumstances, can they give full play to the skills learned during training or save the plane in emergencies. This article is against such background to probe into the methods of flight training based on special flight environment. 10 participants were selected in this experiment. The FSX was used and a retired FT-6 was adapted as the cockpit, the training scheme had been set out. With respect to t
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Niehaus, Lukas, Ulf Krumnack, and Gunther Heidemann. "Weight Rescaling: Applying Initialization Strategies During Training." In 14th Scandinavian Conference on Artificial Intelligence SCAI 2024, June 10-11, 2024, Jönköping, Sweden. Linköping University Electronic Press, 2024. http://dx.doi.org/10.3384/ecp208010.

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The training success of deep learning is known to depend on the initial statistics of neural network parameters. Various strategies have been developed to determine suitable mean and standard deviation for weight distributions based on network architecture. However, during training, weights often diverge from their initial scale. This paper introduces the novel concept of weight rescaling, which enforces weights to remain within their initial regime throughout the training process. It is demonstrated that weight rescaling serves as an effective regularization method, reducing overfitting and s
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Afonasenko, A., S. Popova, and A. Shaleev. "ALLSKY IMAGE SEGMENTATION METHODS FOR CLOUD ANALYSIS." In The XXXI International Symposium "Atmospheric and Ocean Optics. Atmospheric Physics". V.E. Zuev Institute of Atmospheric Optics, Siberian Branch of the Russian Academy of Sciences, 2025. https://doi.org/10.56820/conferencearticle_685d0aa0a7b5f9.30033797.

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The paper considers approaches to Allsky image segmentation for cloud detection. Color index-based methods, machine learning algorithms, and neural network models are compared. Color threshold methods, such as the cloud index, have shown high sensitivity with ease of implementation, but low versatility. Classic machine learning algorithms provide more flexible adaptation, but are limited in taking into account the spatial context. The results of neural network segmentation turned out to be less accurate, which is explained by the insufficient volume of the training sample. A conclusion is made
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Reports on the topic "Combined methods of training"

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Arango, Luis E., Leonardo Bonilla-Mejía, and Luz A. Flórez. Costs of training and the demand for apprentices. Banco de la República, 2025. https://doi.org/10.32468/be.1312.

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In this paper, we show that an increase in apprenticeship wages reduces the demand for apprentices. We exploit a natural experiment that provides exogenous variation in apprenticeship wages combined with discontinuities in the eligibility criteria (firms with fewer than 15 employees are not required to train apprentices). Our main results, based on difference-in-discontinuity methods, indicate that increasing apprenticeship wages from 75% to 100% of the national minimum wage leads to a reduction in the demand for apprentices of 83% in non-eligible firms. The intensive margin analysis, which co
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Modlo, Yevhenii O., Serhiy O. Semerikov, and Ekaterina O. Shmeltzer. Modernization of Professional Training of Electromechanics Bachelors: ICT-based Competence Approach. [б. в.], 2018. http://dx.doi.org/10.31812/123456789/2649.

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Analysis of the standards for the preparation of electromechanics in Ukraine showed that the electromechanic engineer is able to solve complex specialized problems and practical problems in a certain area of professional activity or in the process of study. These problems are characterized by complexity and uncertainty of conditions. The main competencies include social-personal, general-scientific, instrumental, general-professional and specialized-professional. A review of scientific publications devoted to the training of electromechanics has shown that four branches of engineering are invo
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YI, longyue, jihui zhang, yuanbin yang, et al. Comparison of the effectiveness of different acupuncture methods combined with rehabilitation training in the treatment of shoulder-hand syndrome after stroke: a systematic review and network Meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2024. http://dx.doi.org/10.37766/inplasy2024.10.0129.

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González-Velosa, Carolina, and Graciana Rucci. Methods to Anticipate Skills Demand. Inter-American Development Bank, 2016. http://dx.doi.org/10.18235/0010638.

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In Latin America and the Caribbean and in more advanced economies there is evidence that suggests an imbalance between the skills of the workforce and the skills demanded by the productive sector. If this skills mismatch is large and persistent it leads to significant economic and social costs: economies cannot use their human capital efficiently and many individuals cannot access good quality jobs. Correcting these imbalances is not easy; a number of frictions that are prevalent in the labor and education markets limit the capacity of households and education providers to provide skills in li
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Cheng, Peng, James V. Krogmeier, Mark R. Bell, Joshua Li, and Guangwei Yang. Detection and Classification of Concrete Patches by Integrating GPR and Surface Imaging. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317320.

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This research considers the detection, location, and classification of patches in concrete and asphalt-on-concrete pavements using data taken from ground penetrating radar (GPR) and the WayLink 3D Imaging System. In particular, the project seeks to develop a patching table for “inverted-T” patches. A number of deep neural net methods were investigated for patch detection from 3D elevation and image observation, but the success was inconclusive, partly because of a dearth of training data. Later, a method based on thresholding IRI values computed on a 12-foot window was used to localize pavemen
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Cheng, Peng, James V. Krogmeier, Mark R. Bell, Joshua Li, and Guangwei Yang. Detection and Classification of Concrete Patches by Integrating GPR and Surface Imaging. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317320.

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This research considers the detection, location, and classification of patches in concrete and asphalt-on-concrete pavements using data taken from ground penetrating radar (GPR) and the WayLink 3D Imaging System. In particular, the project seeks to develop a patching table for “inverted-T” patches. A number of deep neural net methods were investigated for patch detection from 3D elevation and image observation, but the success was inconclusive, partly because of a dearth of training data. Later, a method based on thresholding IRI values computed on a 12-foot window was used to localize pavemen
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Oleksiuk, Vasyl P., and Olesia R. Oleksiuk. Methodology of teaching cloud technologies to future computer science teachers. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/3891.

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The article deals with the problem of training future computer science teachers for the use of cloud technologies. The authors analyzed courses from leading universities to study cloud technologies. On this basis the model of application and studying of cloud technologies in the process of training of future teachers of informatics was developed. The basic principles of this model are proposed: systematic, gradual, continuous. It contains target, content, operating and effective component. Therefore, the stages of using cloud computing technology were proposed: as a means of organizing learnin
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Mathis, Kenneth B., Philip C. Noble, Sabir K. Ismaily, et al. Computer-Based Training Methods for Surgical Training. Defense Technical Information Center, 2009. http://dx.doi.org/10.21236/ada585366.

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Selph, Shelly S., Andrea C. Skelly, Ngoc Wasson, et al. Physical Activity and the Health of Wheelchair Users: A Systematic Review in Multiple Sclerosis, Cerebral Palsy, and Spinal Cord Injury. Agency for Healthcare Research and Quality (AHRQ), 2021. http://dx.doi.org/10.23970/ahrqepccer241.

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Objectives. Although the health benefits of physical activity are well described for the general population, less is known about the benefits and harms of physical activity in people dependent upon, partially dependent upon, or at risk for needing a wheelchair. This systematic review summarizes the evidence for physical activity in people with multiple sclerosis, cerebral palsy, and spinal cord injury regardless of current use or nonuse of a wheelchair. Data sources. We searched MEDLINE®, CINAHL®, PsycINFO®, Cochrane CENTRAL, Embase®, and Rehabilitation and Sports Medicine Source from 2008 thr
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Bigl, Matthew, Samuel Beal, and Charles Ramsey. Determination of residual low-order detonation particle characteristics from Composition B mortar rounds. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/45260.

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Empirical measurements of the spatial distribution, particle-size distribution, mass, morphology, and energetic composition of particles from low-order (LO) detonations are critical to accurately characterizing environ-mental impacts on military training ranges. This study demonstrated a method of generating and characterizing LO-detonation particles, previously applied to insensitive munitions, to 81 mm mortar rounds containing the conventional explosive formulation Composition B. The three sampled rounds had estimated detonation efficiencies ranging from 64% to 82% as measured by sampled res
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