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Có 40+ tài liệu thuộc chủ đề "Information and Communication Technology"

Validation assessments on resampling method in imbalanced binary classification for linear discriminant analysis

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Validation assessments on resampling method in imbalanced binary classification for linear discriminant analysis. VALIDATION ASSESSMENTS ON RESAMPLING METHOD IN IMBALANCED BINARY CLASSIFICATION FOR. Previous studies have attempted to address the effect of a resampling method on the performance of LDA. This manuscript attempted to shed more light on the effect of a resampling method (ROS or RUS) on the performance...

Analysis of user requirements for a mobile augmented reality application to support literacy development amongst hearing-impaired children

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The results of the study were used in the preliminary development of Word &. Studies have found that SL is the most effective of the three visual forms in which to decode printed text and is the preferred option for hearing-impaired readers (Ahmed, Nahar &. Several benefits of the use of AR in education have been identified, including improved motivation...

High-level fuzzy linguistic features of facial components in human emotion recognition

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HIGH-LEVEL FUZZY LINGUISTIC FEATURES OF FACIAL COMPONENTS IN HUMAN EMOTION RECOGNITION. Moreover, the proposed model has defined high-level fuzzy linguistic features of facial components which distinguish it from existing methods that commonly use low- level image features (e.g. The model functions by detecting facial points first to locate important facial components. then extracting geometric facial components. features which are then...

Ensemble meta classifier with sampling and feature selection for data with multiclass imbalance problem

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Alfred, R., &. Ensemble learning by combining several single classifiers or another ensemble classifier is one of the procedures to solve the imbalance problem in multiclass data. In this paper, an investigation was carried out on the design of the meta classifier ensemble with sampling and feature selection for multiclass imbalanced data. of the ensemble classifier. With the advancement of...

A collision aware priority level medium access control protocol for underwater acoustic sensor networks

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[email protected]. [email protected]. In UASN routing, propagation delay and collision are perennial problems due to data transfers from various sensor nodes to the Sink Node (SN) at the same time. In this paper, we propose a Collision Aware Priority Level mechanism based on Medium Access Control protocol (CAPL-MAC) for transferring data from the Sensor Head (SH) to the SN. The simulation...

Information and communication technology, Automation of quranic readings gathering process

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The authors of the present study could not find any work in the automation of Quranic gathering process. One reason for that could be the nature of the Quranic readings field. It is one of the Quranic scientific fields that are not widely known. Many words of the Holy Quran can be read in more than one way.. Each of...

Human activity detection and action recognition in videos using convolutional neural networks

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Basavaiah, J., &. Human activity detection and action recognition in videos using convolutional neural networks. HUMAN ACTIVITY DETECTION AND ACTION RECOGNITION IN VIDEOS USING CONVOLUTIONAL NEURAL NETWORKS. In this work, a novel approach of feature extraction from video sequence by combining Scale Invariant Feature Transform and optical flow computation are used where shape, gradient and orientation features are also incorporated...

Review of multi-objective swarm intelligence optimization algorithms

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Metaheuristics are general optimization methods applicable to solve different optimization problems (Sörensen et al., 2018. Stojanović et al., 2017). Sayed et al., 2018), and healthcare (Tsai et al., 2016). Wang, 1993) algorithms that have gained great attention as compared to evolutionary algorithms (Del Ser et al., 2019). Mirjalili et al., 2014. Rashedi et al., 2009. To solve MOPs, several multi-objective...

A computational model of temporal dynamics for anxiety in interviewee mental state

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https://doi.org/10.32890/jict2020.19.2.2. Most of the digital approaches to assist interviewees in this condition are focused on coaching of verbal and non-verbal cues. Huffcutt et al., 2011). Without control, a prospective interviewee will be most affected by this pervasive problem, as the competitive and evaluative nature of the selection process is capable of evoking frustration and distress (Rynes, Bretz, &. and TARDIS...

Motion learning using spatio temporal neural network

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Motion learning using spatio-temporal neural network. MOTION LEARNING USING SPATIO-TEMPORAL NEURAL NETWORK. However, most of the studies are based on sigmoidal neural networks in which some dynamic properties of the data are overlooked due to the absence of spatio- temporal encoding functionalities. For this study, motion learning using spatio- temporal neural network is proposed. Furthermore, the learning uses generic neural...

An improved grey wolf optimization based learning of artificial neural network for medical data classification

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Kumar, N., &. Continuous efforts are put in this direction to improve the performance of the diagnosis process through machine learning methods like support vector machine (SVM) by Akay (2009) and Maglogiannis et al. Das et al. (2009), Lin and Chuang (2010), and Yan et al. There are various ways to integrate the metaheuristic techniques with ANN, such as: (i)...

Self adaptive model based on goal oriented requirements engineering for handling service variability

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Self-adaptive model based on goal-oriented requirements engineering for handling service variability. SELF-ADAPTIVE MODEL BASED ON GOAL-ORIENTED REQUIREMENTS ENGINEERING FOR HANDLING SERVICE. The methodology was developed through the monitor-analyse-plan-execute-knowledge control loops approach integrated into the adaptive service (service level) element within the adaptive enterprise service system metamodel based on goal-oriented requirements engineering. The experimental results showed that the model is able...

Hyper-heuristic evolutionary approach for constructing decision tree classifiers

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Hyper heuristic evolutionary approach for constructing decision tree classifiers. Hyper-Heuristic Evolutionary Approach for Constructing Decision Tree Classifiers Sunil Kumar, Saroj Ratnoo &. Classification and regression tree (CART) algorithm is one of the renowned decision tree induction algorithms to address classification as well as regression problems. Finding optimal values for the hyper parameters of a decision tree construction algorithm is a...

Gender classification on skeletal remains: Efficiency of metaheuristic algorithm method and optimized back propagation neural network

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Gender classification on skeletal remains: Efficiency of metaheuristic algorithm method and optimized back propagation neural network. GENDER CLASSIFICATION ON SKELETAL REMAINS:. In forensic anthropology, gender classification is one of the crucial steps involved in developing the biological profiles of skeleton remains. However, not all features can contribute to gender classification in forensic anthropology. This was to obtain a good combination...

An exploratory study for investigating the issues and current practices of service oriented architecture adoption

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The theory which emerged from this study revealed SOA adoption issues, current practices, maturity levels,. The study managed to identify five main issues in SOA adoption which were knowledge, infrastructure, costing, readiness, and documentation issues. Therefore, an exploratory study was conducted to investigate the current practices of SOA adoption processes performed by software development companies in Malaysia. Moreover, the study...

Mitigating slow hypertext transfer protocol distributed denial of service attacks in software defined networks

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Distributed Denial of Service (DDoS) attacks have become one of the persistent forms of attacks on information technology infrastructure connected to public networks due to the ease of access to DDoS attack tools. Furthermore, the algorithm for subsequent implementations of the selective adaptive bubble burst mitigation mechanism was presented. Distributed Denial of Service (DDoS) attacks are assaults against information technology...

Hybrid cryptographic approach for internet of things applications: A review

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et al. Based on. and ‘‘authentication”. Abbasinezhad-Mood, D., &. http://doi.org/10.1016/j.future . http://doi.org/10.1016/j.. Adat, V., &. http://doi.org/10.1007/s . Al-Haj, A., Abandah, G., &. Al-Haj, A., Hussein, N., &. http://doi.org/10.1109/. Alharbi, K., &. org/10.1109/GLOCOM . Altigani, A., &. Arai, T., &. Bagherzandi, A., Jarecki, S., Lu, Y., &. http://doi.org . Q., Maity, S., &. Bansod, G., Raval, N., &. M., Mourad, L.,...

A hybrid ant colony optimization algorithm for solving a highly constrained nurse rostering problem

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Ramli, R., Abdul Rahman, R., &. A hybrid ant colony optimization algorithm for solving a highly constrained nurse rostering problem. Hence, this study focused on solving these issues arising in Nurse Rostering Problems (NRPs) strategizing on a hybrid of Ant Colony Optimization (ACO) algorithm with a hill climbing technique.. Keywords: Ant colony optimization, metaheuristic technique, hybridization strategy, hill climbing, nurse...

Adaptive variable extractions with lda for classification of mixed variables, and applications to medical data

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https://doi.. org/10.32890/jict2021.20.3.2. The variables following this strategy of extraction were then utilised in the construction of the LDA model before applying them to classify objects going forward. As such, a singular issue in the model may be evident (Tharwat et al., 2017), may induce instability in the model itself, may produce a poor quality of the constructed model (Swesi &....

A practical model from multidimensional layering: Personal finance information framework using mobile software interface operations

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Rukhiran, M., &. Besides, it is relatively difficult to make changes in complex software and personal finance application is one of the more complex software to design, develop, and adapt. Therefore, an integrated view of the software system would make the design and implementation consistent to support our framework in a more straightforward manner.. All phases of the software project...