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Journal articles on the topic 'Accelerative learning'

Author: Grafiati

Published: 4 June 2021

Last updated: 12 February 2022

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1

Knight, Debbie. "Learning styles and accelerative learning: An appraisal." Australian Journal of Learning Disabilities 2, no. 3 (September 1997): 25–28. http://dx.doi.org/10.1080/19404159709546538.

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2

Poynting, Scott, and Greg Noble. "‘Rekindling the Spark’: Teachers' Experiences of ‘Accelerative Learning’." Australian Journal of Education 42, no. 1 (April 1998): 32–48. http://dx.doi.org/10.1177/000494419804200103.

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SEVERAL teacher training packages called ‘Accelerative Learning’ (AL) have recently attracted widespread support among teachers in Australian schools. AL purports to expound a ‘brain theory’, covering various ‘learning styles’. This project investigated the experience of teachers who were attracted by AL. The authors surveyed AL texts, conducted participant observation in AL training, and interviewed AL proponents including 24 teachers at three Western Sydney secondary schools. We found a sense of revitalisation for teachers undertaking AL. While the brain theory of AL resonates with teachers'

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Noble, Greg, and Scott Poynting. "’Weird Science’ and ‘Common Sense’: the discursive construction of accelerative learning." Discourse: Studies in the Cultural Politics of Education 19, no. 2 (August 1998): 141–56. http://dx.doi.org/10.1080/0159630980190201.

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Poonoosamy, Mico. "THE INFLUENCE OF PERSONALITY TYPE ON FOREIGN LANGUAGE LEARNING: A CRITIQUE OF THE ACCELERATIVE INTEGRATED METHOD." PEOPLE: International Journal of Social Sciences 5, no. 3 (November 27, 2019): 142–52. http://dx.doi.org/10.20319/pijss.2019.53.142152.

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Olszewski-Kubilius, Paula. "Talent Search." Journal of Secondary Gifted Education 9, no. 3 (February 1998): 106–13. http://dx.doi.org/10.1177/1932202x9800900303.

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In this paper, the purpose and rationale of talent search is presented, followed by a discussion of the phenomenon of talent search. Talent search includes three important components: diagnosis and evaluation of domains and levels of talent; educational placement and guidance; and talent development opportunities, including summer programs, distance learning programs, contests, competitions, and other related events. There is a solid research base that supports the validity of the talent search identification protocol, the success of students in accelerative programs and the benefits of partic

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6

Carroll, Brandon. "Teaching FSL with AIM? An elementary school case study." SURG Journal 4, no. 2 (March 11, 2011): 21–22. http://dx.doi.org/10.21083/surg.v4i2.1261.

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The publication of the Roadmap for Canada’s Linguistic Duality 2008 – 2013 by the Canadian government has presented a challenge to the country’s ministries of education: to double, by the year 2013, the number of graduates from Canadian secondary schools who have acquired acquired a functional knowledge of their second language. The goal set out by this publication has yet again heightened the polemic around the most effective way to learn a second language. Contributing to the corpus of instructional materials for the teaching of FSL in Canada, Wendy Maxwell, a French teacher in British Colum

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KEREN-PORTNOY, TAMAR. "Facilitation and practice in verb acquisition." Journal of Child Language 33, no. 3 (August 2006): 487–518. http://dx.doi.org/10.1017/s0305000906007495.

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This paper presents a model of syntax acquisition, whose main points are as follows: Syntax is acquired in an item-based manner; early learning facilitates subsequent learning – as evidenced by the accelerating rate of new verbs entering a given structure; and mastery of syntactic knowledge is typically achieved through practice – as evidenced by intensive use and common word order errors – and this slows down learning during the early stages of acquiring a structure.The facilitation and practice hypotheses were tested on naturalistic production samples of six Hebrew-acquiring children ranging

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Mulyana, Enceng. "AKSELERASI PENINGKATAN KOMPETENSI PENDIDIK DAN TENAGA KEPENDIDIKAN NONFORMAL." JIV 2, no. 2 (December 31, 2007): 4–10. http://dx.doi.org/10.21009/jiv.0202.1.

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This article discusses various steps to increase the competence of PTK-PNF. First, it describes the roles of non-formal education in the national education system and the existing problems in the non-formal education. Then, the strategies to accelerate the competencies of PTK-PNF are introduced to cover the basic competencies and mapping of PTK-PNF. Further, the model of acceleration and need analysis to improve the competencies of PTK-PNF and the model of controlling the quality of the competence are elaborated and a set of controlling principles are identified. The article concludes that acc

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Rahma, Ulifa. "Effectiveness of Self-Regulated Learning Training in order to Enhance Self-Directed Learning Skill of Acceleration Students at MTsN Malang." GATR Global Journal of Business and Social Science Review (GJBSSR) Vol.5(3) Jul-Sep 2017 5, no. 3 (June 5, 2017): 106–13. http://dx.doi.org/10.35609/gjbssr.2017.5.3(14).

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Objective - The acceleration class is a special education which is formed to facilitate gifted children to accelerate their study. Junior high school students who attend acceleration program need self-directed learning skills. The research is to know the effectiveness of self-regulated learning training to enhance the self-directed learning skill of acceleration junior high school students. Methodology/Technique - The approach of the research is quantitative research with pre-experimental type one-group pretest-post-test design. The subject of the research is the 16 students of 9th grade at ac

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Adebiyi, Abdulafeez, Olatunde Abidakun, and V’yacheslav Akkerman. "Acceleration of Premixed Flames in Obstructed Pipes with Both Extremes Open." Energies 13, no. 16 (August 7, 2020): 4094. http://dx.doi.org/10.3390/en13164094.

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Premixed flame propagation in obstructed channels with both extremes open is studied by means of computational simulations of the reacting flow equations with a fully-compressible hydrodynamics, transport properties (heat conduction, diffusion and viscosity) and an Arrhenius chemical kinetics. The aim of this paper is to distinguish and scrutinize various regimes of flame propagation in this configuration depending on the geometrical and thermal-chemical parameters. The parametric study includes various channel widths, blockage ratios, and thermal expansion ratios. It is found that the interpl

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11

Ma, Dongqi, and Hui Lin. "An Accelerating Iterative Learning Control Based on an Adjustable Learning Interval." Journal of Control Science and Engineering 2017 (2017): 1–6. http://dx.doi.org/10.1155/2017/1731676.

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An iterative learning control algorithm with an adjustable interval is proposed for nonlinear systems to accelerate the convergence rate of iterative learning control. Forλ-norm, the monotonic convergence of ILC was analyzed, and the corresponding convergence conditions were obtained. The results showed that the convergence rate was mainly determined by the controlled object, the control law gain, the correction factor, and the iteration interval size and that the control law gain was corrected in real time in the modified interval and the modified interval shortened as the number of iteration

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Gibson, Trish, Donald Kerr, and Ron Fisher. "Accelerating supply chain management learning: identifying enablers from a university-industry collaboration." Supply Chain Management: An International Journal 21, no. 4 (June 13, 2016): 470–84. http://dx.doi.org/10.1108/scm-10-2014-0343.

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Purpose There is an acknowledged need to advance the supply chain management (SCM) learning agenda, with an emphasis on integration. This paper discuss an Australian university–industry collaboration aimed at accelerating SCM learning and offers some insight into models for building a forward-looking SCM. Design/methodology/approach The research is an exploratory case study of the industry–university collaboration, using grounded theory procedures. The primary data involved 25 interviews with key participants from the university and industry partners, and from the first cohort of students in t

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Petersen, Sobah Abbas, Manuel Oliveira, Kristin Hestetun, and Anette Østbø Sørensen. "ALF - a Framework for Evaluating Accelerated Learning in Industry." International Journal of Serious Games 6, no. 3 (September 20, 2019): 81–99. http://dx.doi.org/10.17083/ijsg.v6i3.314.

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Games have long been considered as a means to support effective learning, motivate learners and accelerate their learning. Several successful studies using game-based learning are reported in the literature. However, there appears to be a research gap on systematically evaluating accelerated learning in game environments. The main research question we address in this paper is how can we evaluate accelerated learning in game-based learning environments? The main contribution of this paper will be a framework for evaluating accelerated learning in games (ALF). We will illustrate the use of this

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Hesse, Bradford William. "Role of the Internet in Solving the Last Mile Problem in Medicine." Journal of Medical Internet Research 21, no. 10 (October 28, 2019): e16385. http://dx.doi.org/10.2196/16385.

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Internet-augmented medicine has a strong role to play in ensuring that all populations benefit equally from discoveries in the medical sciences. Yet, data from the Centers for Disease Control and Prevention collected from 1999 to 2014 suggested that during the first phase of internet diffusion, progress against mortality has stalled, and in some cases, receded in rural areas that are traditionally underserved by medical and broadband resources. This problem of failing to extend the benefits of extant medical knowledge equitably to all populations regardless of geography can be framed as the “l

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Jiang, Chao, David Ojika, Sofia Vallecorsa, Thorsten Kurth, Prabhat, Bhavesh Patel, and Herman Lam. "Accelerate Scientific Deep Learning Models on Heterogeneous Computing Platform with FPGA." EPJ Web of Conferences 245 (2020): 09014. http://dx.doi.org/10.1051/epjconf/202024509014.

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AI and deep learning are experiencing explosive growth in almost every domain involving analysis of big data. Deep learning using Deep Neural Networks (DNNs) has shown great promise for such scientific data analysis applications. However, traditional CPU-based sequential computing without special instructions can no longer meet the requirements of mission-critical applications, which are compute-intensive and require low latency and high throughput. Heterogeneous computing (HGC), with CPUs integrated with GPUs, FPGAs, and other science-targeted accelerators, offers unique capabilities to accel

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Linton, Frank, and David House. "Accelerating workplace learning." International Journal of Continuing Engineering Education and Lifelong Learning 12, no. 5/6 (2002): 419. http://dx.doi.org/10.1504/ijceell.2002.002143.

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17

Martin, Cathy. "Accelerating Unfinished Learning." Mathematics Teacher: Learning and Teaching PK-12 113, no. 10 (October 2020): 774–76. http://dx.doi.org/10.5951/mtlt.2020.0233.

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Esmaeilzadeh, Hadi, and Jongse Park. "Machine Learning Acceleration." IEEE Micro 39, no. 5 (September 1, 2019): 6–7. http://dx.doi.org/10.1109/mm.2019.2934772.

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Huda, Miftakhul. "Managerial Communication System for the Operation of Learning Acceleration Programs." Jurnal Iqra' : Kajian Ilmu Pendidikan 4, no. 2 (December 23, 2019): 168–81. http://dx.doi.org/10.25217/ji.v4i2.521.

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Research on managerial communication in special classes was essential because it has unique characteristics and need specialized administrative too. This study aimed to find out the mixture of communication in the managerial communication system for the implementation of accelerated classes at State Senior High School 3 Surakarta. The type of this research was descriptive qualitative. The research subjects consisted of the school principals, the administrators of the acceleration program, and the parents of accelerated students at State Senior High School 3 Surakarta. The Data collection techn

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Chambers, Phil. "Accelerate your learning." Industrial and Commercial Training 37, no. 6 (October 2005): 314–18. http://dx.doi.org/10.1108/00197850510617604.

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RADWAN, ELSAYED, and EIICHIRO TAZAKI. "ROUGH SETS AND GENETIC ALGORITHMS IN LEARNING CELLULAR NEURAL NETWORKS CLONING TEMPLATE FOR DECISION MAKING SYSTEM." International Journal of Neural Systems 14, no. 01 (February 2004): 57–68. http://dx.doi.org/10.1142/s0129065704001851.

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We purpose to find a new beneficial method for accelerating the Decision-Making and classifier support applied on imprecise data. This acceleration can be done by integration between Rough Sets theory, which gives us the minimal set of decision rules, and the Cellular Neural Networks. Our method depends on Genetic Algorithms for designing the cloning template for more accuracy. Some illustrative examples are given to demonstrate the effectiveness of the proposed method, whose advantages and limitations are also discussed.

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Tahini, Imad, and Aliaksei Dadykin. "Techniques of new application for acquisition foreign languages: development stages and modern trend." ITM Web of Conferences 27 (2019): 06001. http://dx.doi.org/10.1051/itmconf/20192706001.

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In the conditions of scientific and technical progress and more developing international contacts in the field of science, technology, and culture, the practical knowledge of a foreign language becomes one of the most important characteristics of a highly qualified specialist of any profile. One of the important factors in the development of the system to accelerating learning is the demands of adults themselves. Therefore, we need to create an automated system fast and effective teaching another language that uses the mini-max criterion, which provides the maximum possible result to the minim

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Rajkumar, R., Arnav Kaushal, and Aishik Saha. "Accelerating Machine Learning Research Using Transfer Learning." Indian Journal of Computer Science 3, no. 2 (April 1, 2018): 7. http://dx.doi.org/10.17010/ijcs/2018/v3/i2/123212.

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Biookaghazadeh, Saman, Pravin Kumar Ravi, and Ming Zhao. "Toward Multi-FPGA Acceleration of the Neural Networks." ACM Journal on Emerging Technologies in Computing Systems 17, no. 2 (April 2021): 1–23. http://dx.doi.org/10.1145/3432816.

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High-throughput and low-latency Convolutional Neural Network (CNN) inference is increasingly important for many cloud- and edge-computing applications. FPGA-based acceleration of CNN inference has demonstrated various benefits compared to other high-performance devices such as GPGPUs. Current FPGA CNN-acceleration solutions are based on a single FPGA design, which are limited by the available resources on an FPGA. In addition, they can only accelerate conventional 2D neural networks. To address these limitations, we present a generic multi-FPGA solution, written in OpenCL, which can accelerate

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Zemzem, Wiem, and Moncef Tagina. "A Novel Exploration/Exploitation Policy Accelerating Learning in Both Stationary and Non-Stationary Environment Navigation Tasks." International Journal of Computer and Electrical Engineering 7, no. 3 (2015): 149–58. http://dx.doi.org/10.17706/ijcee.2015.7.3.149-158.

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Webster, Patty D., Sidhartha Deka, Anisa Ismail, Amy F. Stern, and Pierre M. Barker. "Using a Multicountry Learning Network to Harvest and Rapidly Spread Implementation Knowledge across Programs Aimed to Reduce Mother-to-Child Transmission of HIV and Improve Nutrition: Perspectives and Lessons Learned for Similar Large-Scale Initiatives." Journal of the International Association of Providers of AIDS Care (JIAPAC) 18 (January 1, 2019): 232595821984745. http://dx.doi.org/10.1177/2325958219847452.

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As countries pursue UNAIDS’s 90-90-90 target for ending the AIDS epidemic, success is dependent on learning how to deliver effective care. We describe a learning network and mechanisms used to foster communication and sharing of ideas and results across 6 countries in the Partnership for HIV-Free Survival. The network used 2 forms of peer exchange, in-person and virtual, and a variety of knowledge management mechanisms to harvest and spread key learning. Key learning included valuable insights on how to design and convene a multicountry learning network, including top enablers of success and p

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Manukian, Haik, Fabio L. Traversa, and Massimiliano Di Ventra. "Accelerating deep learning with memcomputing." Neural Networks 110 (February 2019): 1–7. http://dx.doi.org/10.1016/j.neunet.2018.10.012.

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Katerynych, L., M. Veres, and E. Safarov. "Neural networks’ learning process acceleration." PROBLEMS IN PROGRAMMING, no. 2-3 (September 2020): 313–21. http://dx.doi.org/10.15407/pp2020.02-03.313.

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This study is devoted to evaluating the process of training of a parallel system in the form of an artificial neural network, which is built using a genetic algorithm. The methods that allow to achieve this goal are computer simulation of a neural network on multi-core CPUs and a genetic algorithm for finding the weights of an artificial neural network. The performance of sequential and parallel training processes of artificial neural network is compared.

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Moshovos, Andreas, Jorge Albericio, Patrick Judd, Alberto Delmas Lascorz, Sayeh Sharify, Tayler Hetherington, Tor Aamodt, and Natalie Enright Jerger. "Value-Based Deep-Learning Acceleration." IEEE Micro 38, no. 1 (January 2018): 41–55. http://dx.doi.org/10.1109/mm.2018.112130309.

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Yulianingsih, Wiwin, Gunarti Dwi Lestari, Utari Dewi, and Rezka Arina Rahma. "Learning Society in Accelerating the Increase of English Understanding and Communicating at Mahesa Putri English Camp." Journal of Nonformal Education 7, no. 1 (February 28, 2021): 39–46. http://dx.doi.org/10.15294/jne.v7i1.26481.

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Camp is one form of non-formal education that is used as a place to live while undergoing language courses. This study is generally aimed at determining the learning society in accelerating the improvement of understanding skills and communication skills in a camp-based English course for students in Mahesa Putri Camp in English Village. The purpose of this study is to determine the role of camp as an enhancer of understanding ability, and the role of camp as an acceleration of communication patterns. The research method used is descriptive qualitative which describes something objectively, ba

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Torres Valdés, Rosa María, Carolina Lorenzo Álvarez, Javier Castro Spila, and Alba Santa Soriano. "Relational university, learning and entrepreneurship ecosystems for sustainable tourism." Journal of Science and Technology Policy Management 10, no. 4 (October 16, 2019): 905–26. http://dx.doi.org/10.1108/jstpm-03-2018-0032.

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Purpose This paper aims to offer a conceptual model for the development of a teaching–learning experiential ecosystem which favors university entrepreneurship in the area of sustainable tourism and innovation acceleration. Design/methodology/approach The methodology is carried out in two phases. First, participatory action research in the context of the “Protocol and Event Organization” subject, included in the Tourism degree taught at the University of Alicante, analyzing a didactic experience as a case study. Second, primary qualitative and quantitative research. Findings Although at a small

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Lee, Jeong-Woo, and Jun-Ho Oh. "Hybrid Learning of Mapping and its Jacobian in Multilayer Neural Networks." Neural Computation 9, no. 5 (July 1, 1997): 937–58. http://dx.doi.org/10.1162/neco.1997.9.5.937.

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There are some learning problems for which a priori information, such as the Jacobian of mapping, is available in addition to input-output examples. This kind of information can be beneficial in neural network learning if it can be embedded into the network. This article is concerned with the method for learning the mapping and available Jacobian simultaneously. The basic idea is to minimize the cost function, which is composed of the mapping error and the Jacobian error. Prior to developing the Jacobian learning rule, we develop an explicit and general method for computing the Jacobian of the

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Snir, Sagi, and Ben Yohay. "Prokaryotic evolutionary mechanisms accelerate learning." Discrete Applied Mathematics 258 (April 2019): 222–34. http://dx.doi.org/10.1016/j.dam.2018.10.044.

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Lee, Young-Ah, and Tae-Choong Chung. "Function Approximation for accelerating learning speed in Reinforcement Learning." Journal of Korean Institute of Intelligent Systems 13, no. 6 (December 1, 2003): 635–42. http://dx.doi.org/10.5391/jkiis.2003.13.6.635.

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Price, B., and C. Boutilier. "Accelerating Reinforcement Learning through Implicit Imitation." Journal of Artificial Intelligence Research 19 (December 1, 2003): 569–629. http://dx.doi.org/10.1613/jair.898.

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Imitation can be viewed as a means of enhancing learning in multiagent environments. It augments an agent's ability to learn useful behaviors by making intelligent use of the knowledge implicit in behaviors demonstrated by cooperative teachers or other more experienced agents. We propose and study a formal model of implicit imitation that can accelerate reinforcement learning dramatically in certain cases. Roughly, by observing a mentor, a reinforcement-learning agent can extract information about its own capabilities in, and the relative value of, unvisited parts of the state space. We study

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Juan, Yongfei, Yongbing Dai, Yang Yang, and Jiao Zhang. "Accelerating materials discovery using machine learning." Journal of Materials Science & Technology 79 (July 2021): 178–90. http://dx.doi.org/10.1016/j.jmst.2020.12.010.

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Chun, Il Yong, and Jeffrey A. Fessler. "Convolutional Dictionary Learning: Acceleration and Convergence." IEEE Transactions on Image Processing 27, no. 4 (April 2018): 1697–712. http://dx.doi.org/10.1109/tip.2017.2761545.

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Politis, Diamanto, Jonas Gabrielsson, Nataliya Galan, and Solomon Akele Abebe. "Entrepreneurial learning in venture acceleration programs." Learning Organization 26, no. 6 (September 9, 2019): 588–603. http://dx.doi.org/10.1108/tlo-04-2018-0082.

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Purpose This study aims to better understand entrepreneurial learning in the context of venture acceleration programs. Design/methodology/approach A qualitative research strategy was used based on multiple in-depth interviews with 21 lead entrepreneurs complemented with participatory observations and secondary sources. The data were inductively analysed following the Gioia methodology (Gioia et al., 2012). Findings The authors build on experiential learning theory to generate a process-focussed model exploring the learning dynamics that venture acceleration programs can facilitate. In this mod

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Wang, Junxiong, Hongzhi Wang, Chenxu Zhao, Jianzhong Li, and Hong Gao. "Iteration acceleration for distributed learning systems." Parallel Computing 72 (February 2018): 29–41. http://dx.doi.org/10.1016/j.parco.2018.01.001.

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Yu, Haishan, and Jun Jiang. "Accelerating catalysts design by machine learning." Science Bulletin 65, no. 19 (October 2020): 1593–94. http://dx.doi.org/10.1016/j.scib.2020.06.004.

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Younger, Jon, René Sorensen, Christine Cleemann, Aaron Younger, Allan Freed, and Sanne Moller. "Accelerating strategic change through action learning." Strategic HR Review 12, no. 4 (June 14, 2013): 177–84. http://dx.doi.org/10.1108/shr-02-2013-0013.

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Jonathan Fainberg*, Rand Wilcox Vanden Berg, Gregory Chesnut, Taehyoung Lee, Jonathan Coleman, Timothy Donahue, Alvin Goh, et al. "MP83-01 ACCELERATING THE LEARNING CURVE." Journal of Urology 203 (April 2020): e1255. http://dx.doi.org/10.1097/ju.0000000000000975.01.

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Khailany, Brucek, Haoxing Ren, Steve Dai, Saad Godil, Ben Keller, Robert Kirby, Alicia Klinefelter, et al. "Accelerating Chip Design With Machine Learning." IEEE Micro 40, no. 6 (November 1, 2020): 23–32. http://dx.doi.org/10.1109/mm.2020.3026231.

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Bøhn, Eivind, Signe Moe, and Tor Arne Johansen. "Accelerating Reinforcement Learning with Suboptimal Guidance." IFAC-PapersOnLine 53, no. 2 (2020): 8090–96. http://dx.doi.org/10.1016/j.ifacol.2020.12.2278.

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Kartini, Justina Endang, and Bambang Ismanto. "MANAJEMEN PROGRAM AKSELERASI DI SMP PL DOMENICO SAVIO SEMARANG." Kelola: Jurnal Manajemen Pendidikan 2, no. 1 (June 7, 2015): 12. http://dx.doi.org/10.24246/j.jk.2015.v2.i1.p12-21.

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<p>This study aimed to describe the management acceleration program in terms of planning, organizing, actuating, and monitoring learning in PL Domenico Savio Junior High School. This research is a qualitative descriptive study. Subjects were principal, manager acceleration, acceleration secretary, and homeroom teacher. Results of research: Planning accelerated program in PL Domenico Savio Junior High School done by preparing teachers, finance, infrastructure, learners, curriculum, time, and high school. Learning plan covering the syllabus and lesson plan contains learning objectives, tea

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Paenke, Ingo, Tadeusz J. Kawecki, and Bernhard Sendhoff. "The Influence of Learning on Evolution: A Mathematical Framework." Artificial Life 15, no. 2 (April 2009): 227–45. http://dx.doi.org/10.1162/artl.2009.15.2.15204.

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The Baldwin effect can be observed if phenotypic learning influences the evolutionary fitness of individuals, which can in turn accelerate or decelerate evolutionary change. Evidence for both learning-induced acceleration and deceleration can be found in the literature. Although the results for both outcomes were supported by specific mathematical or simulation models, no general predictions have been achieved so far. Here we propose a general framework to predict whether evolution benefits from learning or not. It is formulated in terms of the gain function, which quantifies the proportional

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Son, Jaewon, Yonghyuk Yoo, Khu-rai Kim, Youngjae Kim, Kwonyong Lee, and Sungyong Park. "A GPU Scheduling Framework to Accelerate Hyper-Parameter Optimization in Deep Learning Clusters." Electronics 10, no. 3 (February 2, 2021): 350. http://dx.doi.org/10.3390/electronics10030350.

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This paper proposes Hermes, a container-based preemptive GPU scheduling framework for accelerating hyper-parameter optimization in deep learning (DL) clusters. Hermes accelerates hyper-parameter optimization by time-sharing between DL jobs and prioritizing jobs with more promising hyper-parameter combinations. Hermes’s scheduling policy is grounded on the observation that good hyper-parameter combinations converge quickly in the early phases of training. By giving higher priority to fast-converging containers, Hermes’s GPU preemption mechanism can accelerate training. This enables users to fin

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Refonaa, J., Bandaru Suhas, B. V. S. Bhaskar, S. L. JanyShabu, S. Dhamodaran, Sardar Maran, Maria Anu, and M. Lakshmi. "Fall Detection and Daily Living Activity Recognition Logic Regression." Journal of Computational and Theoretical Nanoscience 17, no. 8 (August 1, 2020): 3520–25. http://dx.doi.org/10.1166/jctn.2020.9223.

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It is a must to bring the fall detection system in to use with the increasing number of elder people in the world, because the most of them tend live voluntarily and at risk of injuries. Falls are dangerous in a few cases and could even lead to deadly injuries. A very robust fall detection system must be built in order to counter this problem. Here, we establish fall detection and recognition of daily live behavior through machine learning system. In order to detect different types of activities, including the detection of falls and day to-day activities, We use 2 shared archives for the accel

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Kellman, Philip J., and Sally Krasne. "Accelerating expertise: Perceptual and adaptive learning technology in medical learning." Medical Teacher 40, no. 8 (August 3, 2018): 797–802. http://dx.doi.org/10.1080/0142159x.2018.1484897.

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Yu, X. H. "Acceleration of backpropagation learning using optimised learning rate and momentum." Electronics Letters 29, no. 14 (1993): 1288. http://dx.doi.org/10.1049/el:19930860.

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