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Journal articles on the topic 'Combined Learning'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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1

Jovita Lantang Anetha, Gisela. "Development of a Discovery Learning Learning Model Combined with Literacy Activities and Educandy Games in Learning Mathematics." International Journal of Science and Research (IJSR) 12, no. 6 (2023): 1850–57. http://dx.doi.org/10.21275/sr23612160341.

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Astuti, Irnin Agustina Dwi, Yoga Budi Bhakti, Ria Asep Sumarni, Dwi Sulisworo, and Moh Toifur. "FLIPPED CLASSROOM AND KAHOOT IN PHYSICS LEARNING: IMPROVING STUDENTS’ MOTIVATION LEARNING." International Journal of Educational Management and Innovation 2, no. 2 (2021): 175. http://dx.doi.org/10.12928/ijemi.v2i2.3491.

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Ideal condition in physics learning should combine concepts with technology. Traditional physics learning causes students to be not interested in learning physics. There must be innovations in physics learning to be more interactive learning. One of them flipped classroom learning. Flipped classroom learning combined with Kahoot online games will make students more active. The purpose of this research is to increase students' learning motivation with Kahoot-based flipped classroom learning. The method used in this research is the quasi-experimental method with the research design of The Random

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Bazarbayeva, Laura Taituleuvna, Irina Viktorovna Lapina, and Gulfiya Faissovna Gainutdinova. "Combined learning: realities and prospects." International Journal of Professional Science, no. 8 (2021): 12–16. http://dx.doi.org/10.54092/25421085_2021_8_12.

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Furse, C. "Teaching and learning combined (TLC)." IEEE Antennas and Propagation Magazine 45, no. 3 (2003): 166–67. http://dx.doi.org/10.1109/map.2003.1232181.

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Agafonov, A. Yu, S. N. Burmistrov, D. D. Kozlov, and A. P. Kryukova. "Implicit Learning of Combined Sequences." Integration of Education 22, no. 2 (2018): 339–52. http://dx.doi.org/10.15507/1991-9468.091.022.201802.339-352.

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P. J., Anu, and K. Ranjith Singh. "Ensemble and deep learning via median method for learning disability classification." Bulletin of Electrical Engineering and Informatics 14, no. 3 (2025): 2031–41. https://doi.org/10.11591/eei.v14i3.8639.

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The study explores the classification of students with and without learning disabilities (LD) through machine learning techniques, utilizing a real dataset and implementing bootstrapping for data augmentation. Noteworthy findings reveal the Adam optimizer's superior performance among various optimizers, achieving a true positive rate (TPR) of 0.97 and a false positive rate (FPR) of 0.02, with high precision, recall, and f1-score values. Additionally, ensemble learning, employing the median method, combines models like Random-ForestClassifier and KerasClassifier, and BaggingClassifier with Kera

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Emima, A., and D. I. George Amalarethinam. "Integrative Ensemble Learning Algorithm for Predicting Students’ Performance." Indian Journal Of Science And Technology 18, no. 1 (2025): 72–84. https://doi.org/10.17485/ijst/v18i1.3718.

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Objectives: To create a stable student performance prediction model utilizing ensemble learning methods. Methods: The study uses boosting techniques such as CatBoost, Extreme Gradient Boosting (XGBoost), and Light Gradient Boosting Machine (LightGBM) as simple classifiers, which are then combined into a composite classifier to improve predictive accuracy. During the training phase, a 5-level hyperparameter optimization for the basic classifiers is performed using ETLBO Optimization IELA's distinguishing feature is its Stacking ensemble method, which functions as an ensemble technique, combinin

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Francois-Lavet, Vincent, Yoshua Bengio, Doina Precup, and Joelle Pineau. "Combined Reinforcement Learning via Abstract Representations." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 3582–89. http://dx.doi.org/10.1609/aaai.v33i01.33013582.

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In the quest for efficient and robust reinforcement learning methods, both model-free and model-based approaches offer advantages. In this paper we propose a new way of explicitly bridging both approaches via a shared low-dimensional learned encoding of the environment, meant to capture summarizing abstractions. We show that the modularity brought by this approach leads to good generalization while being computationally efficient, with planning happening in a smaller latent state space. In addition, this approach recovers a sufficient low-dimensional representation of the environment, which op

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Talaghzi, Jallal, Mostafa Bellafkih, Abdellah Bennane, Mohammed Majid Himmi, and Mohammed Amraouy. "Combined E-Learning Course Recommender System." International Journal of Emerging Technologies in Learning (iJET) 18, no. 06 (2023): 53–70. http://dx.doi.org/10.3991/ijet.v18i06.36987.

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In this paper, we propose learners course recommender system of the E-Dirassa platform. This system, which distinguishes between new and active learners, adopts three complementary recommendation approaches: content-based recommendation as well as course-based collaborative filtering for active learners, and static profile-based collaborative filtering for new learners. Let us also note the use of multi-criteria decision aid (MDA) techniques for the choice of the textual similarity measure to be used in the first approach of content-based recommendation.

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ASKER, LARS, MATS DANIELSON, and LOVE EKENBERG. "COMMITTEES OF LEARNING AGENTS." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 08, no. 02 (2000): 187–202. http://dx.doi.org/10.1142/s0218488500000137.

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We describe how machine learning and decision theory is combined in an application that supports control room operators of a combined heating and power plant to cope with the overwhelming complexity of situations when severe plant disturbances occur. The application is designed as an assistant, rather than as an automatic system that intervenes directly in the operator/plant loop. The application is required to handle vague and numerically imprecise background information in the construction of classifier committees. A classifier committee (or ensemble) is a classifier created by combining the

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Jenkins, Shannon. "Service Learning and Simulations." PS: Political Science & Politics 43, no. 03 (2010): 541–45. http://dx.doi.org/10.1017/s1049096510000788.

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AbstractBoth service learning and simulations have been shown to positively impact student outcomes, but they are not often used together. This article examines how to effectively combine these active learning styles to reap the benefits of both. After examining a case in which the two were combined and the impact this approach had on student evaluations and learning outcomes, I discuss how such projects can be successfully executed in a variety of other classes.

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Lu, Chao, Huaji Wang, Chen Lv, Jianwei Gong, Junqiang Xi, and Dongpu Cao. "Learning Driver-Specific Behavior for Overtaking: A Combined Learning Framework." IEEE Transactions on Vehicular Technology 67, no. 8 (2018): 6788–802. http://dx.doi.org/10.1109/tvt.2018.2820002.

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Bosch, Chantelle, Elsa Mentz, and Gerda Marie Reitsma. "Integrating Cooperative Learning into the Combined Blended Learning Design Model." International Journal of Mobile and Blended Learning 11, no. 1 (2019): 58–73. http://dx.doi.org/10.4018/ijmbl.2019010105.

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Extensive research has been done on the implementation of cooperative learning (CL) in a face-to-face classroom. However, only a few studies could be found on the implementation of CL in a blended learning environment. The implementation of CL in such an environment is a challenging goal for facilitators. It requires a commitment to change and the willingness to take risks, it takes time and requires planning. This article reports on research done to develop a holistic blended learning (BL) design model. The development of the model was based on a synthesis of a number of pedagogical models, w

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Ergin, Erginer. "Latent Learning Disabilities in the Classroom: Interpreting Children's Learning Styles Identified by Memory Recalls." Education Quarterly Reviews 5, no. 4 (2022): 468–75. https://doi.org/10.31014/aior.1993.05.04.678.

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If a learning disability is not defined, it can be said that primary school children show the features of adaptable students within the learning atmosphere of the classroom. Most of the time, teachers think that they teach and their students learn easily. However, studies on children’s memory show that the learning process gets abstract when the number of stimulants in the learning environment increase. Children especially have difficulties when they use more than one sensory memory, like seeing, hearing and touching, at the same time and it gets harder to remember things they learned. I

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Salainti, Engelina, and Meily Ivane Esther Neman. "Teachers’ Perception of Using Digital Game-Based Learning in Teaching and Learning Process." EDUKASIA: Jurnal Pendidikan dan Pembelajaran 5, no. 1 (2024): 955–62. http://dx.doi.org/10.62775/edukasia.v5i1.904.

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Technology is frequently utilized in modern classrooms to enrich the learning experience and facilitate diverse educational phenomena. In this age of technology, it is not uncommon to see technology used in almost every aspect of human life. Monotonous and old-fashioned teaching and learning activities make technology a fascinating aspect for teachers and even more so for students. Especially when technology is combined as an exciting and educational game that makes students feel a pleasant learning environment. DGBL (Digital Game-Based Learning) is a method that can be recommended to teachers

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Husaini, AL, Irani Hoeronis, Hen Hen Lumana, and Luh Desi Puspareni. "Early Detection of Stunting in Toddlers Based on Ensemble Machine Learning in Purbaratu Tasikmalaya." Jurnal Sistem dan Teknologi Informasi (JustIN) 11, no. 3 (2023): 487. http://dx.doi.org/10.26418/justin.v11i3.66465.

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This research utilizes combines several algorithm model that improve the accuracy of early detection of stunting in toddlers in Purbaratu Tasikmalaya. The ensemble method used a voting classifier to combine the prediction results of models. The data used in this research were anthropometric data from 195 toddlers in Purbaratu Tasikmalaya. Results of the testing have identified that the use of the ensemble model machine learning method produces high accuracy for 3 categories of anthropometric data categories tested, that combined accuracy value 97,43 %, 92,30%, and 94,87% for all ensemble model

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Zhang, Ziyang, and Kaamran Raahemifar. "Combined Dictionary Learning in Facial Expression Recognition." Journal of Signal and Information Processing 04, no. 03 (2013): 86–90. http://dx.doi.org/10.4236/jsip.2013.43b015.

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Stefanowski, Jerzy. "Combined learning methods and mining complex data." Intelligent Data Analysis 16, no. 5 (2012): 741–43. http://dx.doi.org/10.3233/ida-2012-0548.

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Yu, C. F., and B. W. Wah. "Learning dominance relations in combined search problems." IEEE Transactions on Software Engineering 14, no. 8 (1988): 1155–75. http://dx.doi.org/10.1109/32.7626.

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Alquran, Hiam, Wan Azani Mustafa, Isam Abu Qasmieh, et al. "Cervical Cancer Classification Using Combined Machine Learning and Deep Learning Approach." Computers, Materials & Continua 72, no. 3 (2022): 5117–34. http://dx.doi.org/10.32604/cmc.2022.025692.

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Jones, Melanie S., Mary E. Levin, Joel R. Levin, and Brian D. Beitzel. "Can vocabulary-learning strategies and pair-learning formats be profitably combined?" Journal of Educational Psychology 92, no. 2 (2000): 256–62. http://dx.doi.org/10.1037/0022-0663.92.2.256.

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Pang, Shuchao, Juan José del Coz, Zhezhou Yu, Oscar Luaces, and Jorge Díez. "Deep Learning and Preference Learning for Object Tracking: A Combined Approach." Neural Processing Letters 47, no. 3 (2017): 859–76. http://dx.doi.org/10.1007/s11063-017-9720-5.

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Sawat, Dattatray D., and Ravindra S. Hegadi. "Unconstrained face detection: a Deep learning and Machine learning combined approach." CSI Transactions on ICT 5, no. 2 (2016): 195–99. http://dx.doi.org/10.1007/s40012-016-0149-1.

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Sajid, Muhammad, Wajeeha Yaseen, and Aman Ullah Khan. "Brain Tumor Segmentation using Deep Learning." VFAST Transactions on Software Engineering 11, no. 2 (2023): 113–23. http://dx.doi.org/10.21015/vtse.v11i2.1533.

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In addition to helping doctors discover and measure tumors, it also helps them develop better recovery and treatment plans. Recent MRI brain tumor segmentation algorithms have focused on U-Net design to combine high-level and low-level features for improved accuracy. Fully convolutional networks, which are also used for this purpose, are unable to successfully reconstruct the image through the decoder path because of the insufficient and low-level information from the encoder path. More effort needs to be done to optimise the low-level information flow from the encoder path to the decoder path

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Frikha, Mohamed, Nesrine Chaâri, Yousri Elghoul, Hasnaa H. Mohamed-Ali, and Anatoly V. Zinkovsky. "Effects of Combined Versus Singular Verbal or Haptic Feedback on Acquisition, Retention, Difficulty, and Competence Perceptions in Motor Learning." Perceptual and Motor Skills 126, no. 4 (2019): 713–32. http://dx.doi.org/10.1177/0031512519842759.

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While augmented feedback (AF) is widely acknowledged to affect motor learning, the effects of mode of feedback on motor learning acquisition, retention, and perceived competence has rarely been studied. The present investigation analyzes the effects of verbal, haptic, and combined (verbal and haptic) feedback when learning a novel gymnastic parallel bars task. Forty-eight physical education students and four expert gymnastics teachers participated in the study. We divided the students into three AF groups (verbal, haptic, and combined) and a no-feedback control group (CG). One gymnastics teach

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Mantra, Ida Bagus Nyoman, Nengah Dwi Handayani, Anak Agung Istri Yudhi Pramawati, and Ida Ayu Made Sri Widiastuti. "Brainstorming Combined With Project-Based Learning as an Effective Learning Strategy in Writing Classrooms." Journal of Language Teaching and Research 14, no. 6 (2023): 1590–96. http://dx.doi.org/10.17507/jltr.1406.17.

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Innovative teaching strategies are required to be implemented in teaching writing to enhance students’ writing skills. This study aims at investigating the effectiveness of brainstorming combined with project-based learning implemented in writing classrooms. This study employed a descriptive research design. Several data collection methods were conducted to gather the data, such as classroom observations, semi-structured interviews with the selected university lecturers, questionnaires and document study of the mid-semester and final semester scores. This study found that brainstorming combine

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Mehta, Kushal, Arshita Jain, Jayalakshmi Mangalagiri, Sumeet Menon, Phuong Nguyen, and David R. Chapman. "Lung Nodule Classification Using Biomarkers, Volumetric Radiomics, and 3D CNNs." Journal of Digital Imaging 34, no. 3 (2021): 647–66. http://dx.doi.org/10.1007/s10278-020-00417-y.

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AbstractWe present a hybrid algorithm to estimate lung nodule malignancy that combines imaging biomarkers from Radiologist’s annotation with image classification of CT scans. Our algorithm employs a 3D Convolutional Neural Network (CNN) as well as a Random Forest in order to combine CT imagery with biomarker annotation and volumetric radiomic features. We analyze and compare the performance of the algorithm using only imagery, only biomarkers, combined imagery + biomarkers, combined imagery + volumetric radiomic features, and finally the combination of imagery + biomarkers + volumetric feature

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H., Güçlü Yavuzcan, and Şahin Damla. "Action Reflected and Project Based Combined Methodology for the Appropriate Comprehension of Mechanisms in Industrial Design Education." Journal of Education and Learning (EduLearn) 12, no. 3 (2018): 406–21. https://doi.org/10.11591/edulearn.v12i3.6865.

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In industrial design education, mechanics-based courses are mainly based on traditional lecture and they are highly abstract for ID students to comprehend the mechanisms The existing studies highlight the requirement of a new approach for mechanics-based courses in ID departments The study presents, a combined teaching model of mechanism mainly based on applied teaching style and action learning to improve ID students' learning experience and competencies through promoting the transference of theoretical knowledge into practical experience and learning The combined teaching model consistin

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Hoa, Pham Thi Thu. "Combined learning, a good solution for Vietnamese universities." SOCIAL SCIENCES 9, no. 1 (2020): 78–85. http://dx.doi.org/10.46223/hcmcoujs.soci.en.9.1.273.2019.

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Information technology has created tremendous chances in higher education across the globe. With the availability and flexibility of learning online, there are increasing competitions between online learning and traditional, face-to-face classroom. These two types of learning both have their pros and cons. From the advantages and disadvantages of online learning, universities have recently changed the way of their teaching through combining online learning and traditional classroom. Therefore, it is necessary to investigate and understand the advancements of the combination of the two types of

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Choi, Soon Hee, Hyang Sook So, Ja Yun Choi, et al. "Comparison of Blended Practicum Combined E-learning between Cooperative and Individual Learning on Learning Outcomes." Journal of Korean Academic Society of Nursing Education 20, no. 2 (2014): 341–49. http://dx.doi.org/10.5977/jkasne.2014.20.2.341.

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Kaur, N., and A. Narkeesh. "Effect of Combined Integrated Learning Programme (CILP) in Children with Learning Disabilities." Journal of Exercise Science and Physiotherapy 7, no. 1 (2011): 50. http://dx.doi.org/10.18376//2011/v7i1/67624.

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Mariana, Iancu M. "Combined Learning Models Based on Constructionism Applied in Modern Learning of Biology." International Journal of End-User Computing and Development 8, no. 1 (2019): 31–54. http://dx.doi.org/10.4018/ijeucd.20190101.oa1.

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The purpose of this research has been to identify modern and effective learning models, based on constructionism, in learning biological concepts. The author shows that the cognitive, formative, and emotional benefits, of combined learning models to obtain the best results in the construction of concepts, by students' effort, in accordance with Papert's constructionism ideas. The researcher recommends using the techno-empirio-psycho-sociocentric (TEPS) combined model, based on information and communication technologies (ICTs), in individual-and team-based rediscovery of new biological concepts

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Li, Fangcheng. "Problem-based Learning Combined with Team-based Learning in Sports Biochemistry Courses." BCP Education & Psychology 3 (November 2, 2021): 95–98. http://dx.doi.org/10.54691/bcpep.v3i.18.

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Explore Problem-based learning (PBL) combining with Team-based learning (TBL) in sports biochemistry course sugar metabolism and movement section theory and experimental teaching, relative to the traditional teaching methods, the two method teaching makes students passive learning for active learning, increase the interest in learning, at the same time exercise their team spirit and active access to learn, improve their self-study ability, practical ability, scientific research ability, at the same time cultivate the consciousness of lifelong learning, the effect is remarkable.

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Park, Kwi Hwa, Chul-Hyun Park, Wook-Jin Chung, and Chan-Jong Yoo. "Implementation of a Problem-Based Learning Program Combined with Team-Based Learning." Korean Journal of Medical Education 22, no. 3 (2010): 225–30. http://dx.doi.org/10.3946/kjme.2010.22.3.225.

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Soeiro, Alfredo Vieira. "Work Based Learning Combined with E-Learning for Acquisition of Management Competences." International Journal of Advanced Corporate Learning (iJAC) 6, no. 2 (2013): 32. http://dx.doi.org/10.3991/ijac.v6i2.2677.

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Geche, F. E., O. Yu Mulesa, A. Ye Batyuk, and V. Yu Smolanka. "LEARNING A COMBINED MODEL OF TIME SERIES FORECASTING." Ukrainian Journal of Information Technology 3, no. 1 (2021): 44–48. http://dx.doi.org/10.23939/ujit2021.03.044.

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The method of construction of the combined model of forecast ing of time series based on basic models of forecasting is developed in the work. The set of basic models is dynamic, ie new prediction models can be included in this set. Models also can be deleted depending on the properties of the time series. For the synthesis of a combined model of forecasting time series with a given forecast step, the optimal step of prehistory is determined at the beginning. Next the functional is constructed. The optimal prehistory step is determined using the autoregression method for a fixed forecast step.

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Ghavami, Akbar, Hossein Samadi, Dana Amir, and Saeed Ghorbani. "Effects of observing real, animated and combined model on learning cognitive and motor levels of basketball jump shot in children." Biomedical Human Kinetics 14, no. 1 (2021): 54–60. https://doi.org/10.2478/bhk-2022-0007.

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Study aim: The purpose of the present study was to investigate the effects of observing the real, animated and combined model demonstrations on cognitive and motor learning of a basketball jump shot. Material and methods: Forty-five subjects with mean age of (11.03±1.7) were randomly divided into three groups: real, animated and combined model demonstrations. Subjects were asked to perform basketball jump shot task during a four-step process. In total, participants shot 150 shots (10 shots in the pretest, 120 shots and 40 observations in the practice phase, and 10 shots in the posttest

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Bhavesh, Patel, Raghavan Kamala, and Desai Mayur. "Active learning in business disciplines using flipped classroom and project learning." Journal of Education and Social Development 3, no. 1 (2019): 15–19. https://doi.org/10.5281/zenodo.3270696.

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Rapidly changing technology and learning styles of students combined with vast depositories of accessible material on the web offer opportunities and challenges to instructors to adapt and enhance student learning experience with “engaged learning” as the key goal. It is critical that the instructor offers a teaching approach that will enhance the self-paced learning for today’s generation of students.  Flipped classroom combined with project based learning is an approach that has shown positive results in pedagogical experiments conducted by the authors in different tim

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Plailek, Teeraporn, Teeraphat Kitjarak, and Weerayuth Plailek. "Improving Creative Problem-Solving Abilities of English Students through HyFlex Learning Management and Project-Based Learning." Higher Education Studies 13, no. 4 (2023): 128. http://dx.doi.org/10.5539/hes.v13n4p128.

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Creative problem-solving ability is one of the important skills that need to be developed within learners through appropriate and supportive learning experiences. This research aims to 1) assess the students&rsquo; creative problem-solving abilities after engaging in HyFlex learning combined with project-based learning; 2) evaluate the students&rsquo; innovations after engaging in HyFlex learning combined with project-based learning; and 3) study students&rsquo; opinions regarding HyFlex learning combined with project-based learning. The sample group employed cluster random samplin

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Liang, Yawen, Shunli Wang, Yongcun Fan, Xueyi Hao, Donglei Liu, and Carlos Fernandez. "State of Health Prediction of Lithium-Ion Batteries Using Combined Machine Learning Model Based on Nonlinear Constraint Optimization." Journal of The Electrochemical Society 171, no. 1 (2024): 010508. http://dx.doi.org/10.1149/1945-7111/ad18e1.

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Accurate State of Health (SOH) estimation of battery systems is critical to vehicle operation safety. However, it’s difficult to guarantee the performance of a single model due to the unstable quality of raw data obtained from lithium-ion battery aging and the complexity of operating conditions in actual vehicle operation. Therefore, this paper combines a long short-term memory (LSTM) network with strong temporality, and support vector regression (SVR) with nonlinear mapping and small sample learning. A novel LSTM-SVR combined model with strong input features, less computational burden and mul

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Daryadokht, Masroor Roudsar, Haghani Hamid, Dehnad Afsaneh, Ghanbari Ghalesari Mojtaba, Ghasemi Shoub Maryam, and Akbarian Rokni Mostafa. "Investigation of students' academic participation in combined learning based on learning management system." Medicni perspektivi 24, no. 4 (2019): 12–18. https://doi.org/10.26641/2307-0404.2019.4.189180.

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Aim and Purpose <strong>–</strong> Using new methods and proper and interactive experiences can help improve the quality and attractiveness of education. The present study aimed to investigating the relationship between academic participation of nursing students who use combination education based on learning management system (LMS) and studied their degree of academic participation. This is a descriptive cross-sectional study in which the researcher has studied student participation through a demographic information form and a questionnaire on academic engagement. The purpose

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Dang, Shuping, Jiashen Tang, Jun Li, Miaowen Wen, Salwani Abdullah, and Chengzhong Li. "Combined Relay Selection Enabled by Supervised Machine Learning." IEEE Transactions on Vehicular Technology 70, no. 4 (2021): 3938–43. http://dx.doi.org/10.1109/tvt.2021.3065074.

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Ren, Qiubing, Mingchao Li, Shuai Han, Ye Zhang, Qi Zhang, and Jonathan Shi. "Basalt Tectonic Discrimination Using Combined Machine Learning Approach." Minerals 9, no. 6 (2019): 376. http://dx.doi.org/10.3390/min9060376.

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Geochemical discrimination of basaltic magmatism from different tectonic settings remains an essential part of recognizing the magma generation process within the Earth’s mantle. Discriminating among mid-ocean ridge basalt (MORB), ocean island basalt (OIB) and island arc basalt (IAB) is that matters to geologists because they are the three most concerned basalts. Being a supplement to conventional discrimination diagrams, we attempt to utilize the machine learning algorithm (MLA) for basalt tectonic discrimination. A combined MLA termed swarm optimized neural fuzzy inference system (SONFIS) wa

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Prosyankina, М. К. "ADVANCED LEARNING AND COMBINED SYSTEM WHEN TEACHING DRAWING." Educational Dimension 9 (May 24, 2022): 211–14. http://dx.doi.org/10.31812/educdim.5347.

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Sharma, Meenakshi, Bushra Sumaiya, Kumud Kant Awasthi, and Rashmi Mehrotra. "A Framework for Learning Combined Problem Solving Skills." World Journal of English Language 12, no. 3 (2022): 10. http://dx.doi.org/10.5430/wjel.v12n3p10.

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Problem-solving is an important part of a well-rounded 2nd-century education. In his essay "Cognition in the Wild," Hutchins advises readers to look about their local region for artifacts that were not created by the combined efforts of multiple individuals, but also mentions but the only one in their region is the one in their area. A little stone on his desk was the thing that passed this test. Collaboration has a tremendous influence on our everyday lives. Researchers are continuously engaged in situations that need us to employ social skills to coordinate with other people, whether it is i

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Milliken, Michael, Yaxin Bi, Leo Galway, and Glenn Hawe. "Intrusion Detection using Ensemble Learning on Combined Features." International Journal of Intelligent Computing Research 6, no. 2 (2015): 550–61. http://dx.doi.org/10.20533/ijicr.2042.4655.2015.0070.

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Campana, Gianluca, and Clara Casco. "Learning in combined-feature search: Specificity to orientation." Perception & Psychophysics 65, no. 8 (2003): 1197–207. http://dx.doi.org/10.3758/bf03194845.

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Baras, J. S., and S. Dey. "Combined compression and classification with learning vector quantization." IEEE Transactions on Information Theory 45, no. 6 (1999): 1911–20. http://dx.doi.org/10.1109/18.782112.

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Mathews, Mark O. "A Combined Approach to Treatment of Learning Difficulties." Early Child Development and Care 137, no. 1 (1997): 111–22. http://dx.doi.org/10.1080/0300443971370109.

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Zhao Heng, 赵恒, and 安维胜 An Weisheng. "Image Salient Object Detection Combined with Deep Learning." Laser & Optoelectronics Progress 55, no. 12 (2018): 121003. http://dx.doi.org/10.3788/lop55.121003.

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