Journal of Ambient Intelligence and Humanized Computing

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A very fast and efficient multistage selective convolution filter for removal of salt and pepper noise
Journal of Ambient Intelligence and Humanized Computing - Tập 14 - Trang 1-17 - 2022
Ahmad Ali Rafiee, Mahmoud Farhang
In this paper we propose a multistage selective convolution filter (MSCF) for fast and efficient removal of salt-and-pepper noise (SPN) in digital images. By avoiding the use of order statistics or other computationally expensive procedures, the proposed denoising algorithm is efficiently implemented using convolution blocks, thereby a significant reduction in computation time is achieved. Moreove...... hiện toàn bộ
3D building fabrication with geometry and texture coordination via hybrid GAN
Journal of Ambient Intelligence and Humanized Computing - Tập 13 - Trang 5177-5188 - 2020
Zhenlong Du, Haiyang Shen, Xiaoli Li, Meng Wang
3D building plays the essential role in digital city construction, city augmented reality and smart urban planning & design. Conventional building construction is accomplished by modeling software which requires significant human intervention. In this paper, a method of 3D building fabrication via Hybrid generative adversarial network (GAN) is proposed, in which a loss function with the introducti...... hiện toàn bộ
RETRACTED ARTICLE: A novel scheduling approach to improve the energy efficiency in cloud computing data centers
Journal of Ambient Intelligence and Humanized Computing - Tập 12 - Trang 6639-6649 - 2020
J. K. Jeevitha, G. Athisha
Cloud computing is the combination of grid computing, distributed computing and utility computing. Cloud computing provides various types of services (servers and storage facility) in the on demand basis. The main goal of the cloud computing is to preserve and organize the very huge data center or data forms. The data forms are composed of thousands of servers that absorb the giant (ample) amount ...... hiện toàn bộ
CIA-level driven secure SDLC framework for integrating security into SDLC process
Journal of Ambient Intelligence and Humanized Computing - Tập 13 - Trang 4601-4624 - 2022
Sooyoung Kang, Seungjoo Kim
From the early 1970s, the U.S. government began to recognize that simple penetration testing could not assure the security quality of products. The results of penetration testing such as identified vulnerabilities and faults can vary depending on the capabilities of the team. In other words, the penetration testing team cannot assure that “vulnerabilities are not found” is equal to “product does n...... hiện toàn bộ
Requirements-preserving design automation for multiprocessor embedded system applications
Journal of Ambient Intelligence and Humanized Computing - Tập 12 - Trang 821-833 - 2020
Md Al Maruf, Akramul Azim
The number of processors is increasing, but the usefulness of parallel computation is not better leveraged due to the inflexibility of design and implementation for multiprocessor embedded system applications. A higher level abstraction (i.e., a parallel programming framework) can ease the programmers to define parallelism for tasks in an application but designers still face the complexity of mapp...... hiện toàn bộ
An interactive robot design to find missing people and inform their location by real-time face recognition system on moving images
Journal of Ambient Intelligence and Humanized Computing - Tập 13 - Trang 4385-4396 - 2021
Emre Avuçlu, Fatih Başçiftçi
In every country over the world, missing children and adults is a social problem. This problem affects both the relatives of the missing people and the community materially and morally. This article presents a new and original project developed to find a solution to this major social problem. There are three main parts of the project that are synchronized and interactive with each other. Each main...... hiện toàn bộ
A method for k-means-like clustering of categorical data
Journal of Ambient Intelligence and Humanized Computing - Tập 14 Số 11 - Trang 15011-15021 - 2023
Thu Hien Nguyen, Duy-Tai Dinh, Songsak Sriboonchitta, Van–Nam Huynh
Enhancing sentiment analysis using Roulette wheel selection based cuckoo search clustering method
Journal of Ambient Intelligence and Humanized Computing - Tập 13 - Trang 1-29 - 2021
Avinash Chandra Pandey, Ankur Kulhari, Deep Shikha Shukla
Sentiment analysis is a type of contextual text mining that assesses how users feel about emotive topics that are frequently discussed on social media. To analyze the sentiments of the textual data, a number of sentiment analysis methods such as lexicon-based, machine learning-based, and hybrid methods have been proposed. Among all methods, unsupervised methods, especially clustering methods are g...... hiện toàn bộ
The workforce analyzer: group discovery among LinkedIn public profiles
Journal of Ambient Intelligence and Humanized Computing - Tập 9 - Trang 2025-2034 - 2017
Kais Dai, Ana Fernández Vilas, Rebeca P. Díaz Redondo
In this paper, we describe two users’ group discovery methods among LinkedIn public profiles. We start by clustering profiles according to their professional background. In this sense, we combine the so-called K-means technique with the gap statistics method and use tag clouds to scrutinize the obtained groups. The second phase of this work consists in classifying the same profiles by relying on a...... hiện toàn bộ
Bayesian inference in the framework of uncertainty theory
Journal of Ambient Intelligence and Humanized Computing -
Anshui Li, Waichon Lio
Tổng số: 3,090   
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