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Jian Huang and Yijun Gu
Community detection is an important task in the analysis of complex networks, which is significant for mining and analyzing the organization and function of networks. As an unsupervised learning algorithm based on the particle competition mechanism, stoc...
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Rui Neves Madeira,Vitor Pires,Octávio Pascoa Dias,João Martins
Pág. pp. 37 - 44
In the last years several mobile learning courses have been experimented. The increasing popularity and additional features of mobile devices is one of the key reasons for mobile learning courses development. The superior portability and accessibility of...
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Louis Martinette, Alice Obenchain-Leeson, Gladys Gomez, Jessica Webb
This study examines the influence of learning orientation on business performance (achievement of sales and profit objectives) in the context of pure service, specifically that of public accounting services firms. The conceptual framework used in this re...
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Yesta Medya Mahardhika, Amang Sudarsono, Ali Ridho Barakbah
Pág. 1 - 21
Botnet is a malicious software that often occurs at this time, and can perform malicious activities, such as DDoS, spamming, phishing, keylogging, clickfraud, steal personal information and important data. Botnets can replicate themselves without user co...
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Jozsef Pap, Csaba Mako, Miklos Illessy, Zef Dedaj, Sina Ardabili, Bernat Torok and Amir Mosavi
Given the importance of identifying key performance points in organizations, this research intends to determine the most critical intra- and extra-organizational elements in assessing the performance of firms using the European Company Survey (ECS) 2019 ...
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Mohammed Madiafi, Jamal Ezzahar, Kamal Baraka and Abdelaziz Bouroumi
In this paper, we propose a new neural architecture for object classification, made up from a set of competitive layers whose number and size are dynamically learned from training data using a two-step process that combines unsupervised and supervised le...
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Nirusa Sirivariskul
Pág. 1 - 6
This research examined between the mediating impact of new product innovativeness on the relationship between learning orientation and new product performance. A survey questionnaire from was used to collect data from 62 firms in Thailand.The results ind...
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Gianita Bleojua,Alexandru Capatinaa,Valter Vairinhosb,Rozalia Nistora,Nicolas Lescac
This study proposes a competitive intelligence connectivist Massive Open Online Course (CI cMOOC) proof of concept and highlights the interactions among content, context and community to explore relevance in CI cMOOC behavior. The CI cMOOC proof of conce...
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Victor Cavaller
The relationship between higher education activities follows a sequential cycle focused on knowledge transference. The aim of this paper is to examine the details of the following associated questions of debate about KT (knowledge translation) in educati...
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Cristian Toma
Scientific research is part of any university mission, at least of big universities, as it represents the complementary element required by the learning process. A learning process based on engendering knowledge is much more valuable and competitive than...
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Magnus Hoppe
As society and business is becoming more complex, the creation and management of knowledge attracts more attention. For intelligence research it offers an alternative perspective on the art and science of intelligence that challenges a previous dominance...
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Janice Lee Scarinci, Edward Howell
Pág. 49 - 56
Research Question: The purpose of this study was to determine whether the addition of an American Cultural Model to an existing English as a Second Language (ESL) program improved the performance of international students. Idea: The English languag...
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Lisbeth Mananeke
Pág. 409 - 422
Competitive advantage and business performance can be considered potential factors in anybusinesses including in the coastal communities. This research analyses the effect of learningorientation on competitive advantage, the effect of learning orientatio...
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Graham Pervan
As part of a research programme on key information systems management issues, a survey of Australasia's largest 500 organisations was conducted to identify which issues were perceived by their chief executive officers (CEOs) as being important, problemat...
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Emerging industries bear great difference from traditional industries. It is valuable to explore the effectiveness of different resource management methods in the two industries. Based on this, the purposes of this paper are first to define and distingui...
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Gianita Bleoju,Alexandru Capatina
Tracking meaningful insights about companies? exposures to high risk of failure in competitive markets, intelligence studies in business should listen to practitioners? signals and act in providing decision making support to systematic scanning for valua...
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Gergely Márk Csányi, Renátó Vági, Andrea Megyeri, Anna Fülöp , Dániel Nagy, János Pál Vadász and István Üveges
Few-shot learning is a deep learning subfield that is the focus of research nowadays. This paper addresses the research question of whether a triplet-trained Siamese network, initially designed for multi-class classification, can effectively handle multi...
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Anand Singh Rajawat, S. B. Goyal, Pradeep Bedi, Tony Jan, Md Whaiduzzaman and Mukesh Prasad
Internet of Medical Things (IoMT) is an ecosystem composed of connected electronic items such as small sensors/actuators and other cyber-physical devices (CPDs) in medical services. When these devices are linked together, they can support patients throug...
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Sufiyan Bashir Mukadam and Hemprasad Yashwant Patil
Skin cancer is one of the most fatal diseases for mankind. The early detection of skin cancer will facilitate its overall treatment and contribute towards lowering the mortalities. This paper presents the deep learning-based algorithm along with pre-proc...
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João A. Bastos
Credit scoring models help lenders decide whether to grant or reject credit to applicants. This paper proposes a credit scoring model based on boosted decision trees, a powerful learning technique that aggregates several decision trees to form a classifi...
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