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Analysis of Bio-Inspired approaches and Social Media Analytics in Twitter datasets for Misinformation Detection 1

Analysis of Bio-Inspired approaches and Social Media Analyti...

引用

1st International Conference on Advances in Electrical, Electronics and Computational Intelligence, ICAEECI 2023

作者： Nicholas, Neomi Nelin Nirmalrani, V. Sathyabama Institute of Science and Technology Faculty of Computer Science and Engineering Chennai India Sathyabama Institute of Science and Technology Department of Information Technology Chennai India

ISBN: (纸本)9798350342796

Bio-inspired algorithms, such as those with regard to collective intelligence and evolutionary algorithms have been increasingly used in social media analytics in recent years. These algorithms have been shown to be effective in many areas, such as sentiment analysis, community identification, and misinformation detection. This paper explains the underlying principles and features of the most recent bio-inspired techniques. The effectiveness of bio-inspired algorithms for the sentiment analysis categorization on Twitter datasets is studied. In this paper, several social media spam detection techniques that are currently in use are tabulated, and detailed study on the use of social media analytics and bio-inspired algorithms to detect misinformation in social media datasets is performed. The findings of the proposed analysis throws light into the efficiency of these algorithms and gaps for more research, which is inevitable to further improve their performance and robustness for misinformation detection. © 2023 IEEE.

关键词： bio inspired algorithms misinformation detection optimization social media analytics twitter datasets

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A Study on Classification of Mobile Application Network Traffic on MIRAGE-COVID-CCMA-2022 Dataset via Machine/Deep Learning and Feature Selection Methods 17

A Study on Classification of Mobile Application Network Traf...

引用

17th International Conference on Information Security and Cryptology, ISCTurkiye 2024

作者： Yasar, Imren Dasdemir Coskun, Aysun Department of Information Security Engineering Gazi University Ankara Turkey Faculty of Technology Department of Computer Engineering Gazi University Ankara Turkey

ISBN: (纸本)9798331533649

In recent years, the use of mobile internet has become widespread rapidly with the introduction of smartphones. The increasing weight of mobile network traffic in the overall network traffic has made mobile network traffic classification a new and important topic of study. The study utilizes MIRAGE-COVID-CCMA-2022 dataset for the classification of mobile application network traffic. The MIRAGE-COVID-CCMA-2022 dataset contains the network traffic of nine communication and collaboration mobile applications including Discord, GotoMeeting, Meet, Messenger, Skype, Slack, Teams, Webex, and Zoom. Experiments were conducted using four machine learning classifiers (Support Vector Machine, k-Nearest Neighbor, Adaptive Boosting, and Random Forest), four deep learning classifiers (Convolutional Neural Networks, Long Short-Term Memory, Bidirectional Long Short-Term Memory, and Gated Recurrent Units), and three feature selection methods (Minimum Redundancy Maximum Relevance, k-Nearest Neighbor, and Random Forest). The results of the study show that an overall accuracy of over 95% for the MIRAGE-COVID-CCMA-2022 dataset with a nine-class classification. The study concludes that the most appropriate classification structure is to select the features using the Minimum Redundancy Maximum Relevance method and classify the features with the Random Forest classifier. Also, this classification structure stands out as one of the classification structures with the fastest running time. © 2024 IEEE.

关键词： deep learning feature extraction machine learning mobile computer networks

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Large-Period Multichannel Metagratings For Broad-Angle Absorption 16

Large-Period Multichannel Metagratings For Broad-Angle Absor...

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16th International Congress on Artificial Materials for Novel Wave Phenomena, Metamaterials 2022

作者： Yashno, Y. Epstein, A. Technion - Israel Institute of Technology Andrew and Erna Viterbi Faculty of Electrical and Computer Engineering Haifa3200003 Israel

ISBN: (数字)9781665465847

ISBN: (纸本)9781665465847

We present an alternative scheme for obtaining effective power dissipation in planar composites, extending the recently proposed concept of metagrating (MGs), sparse arrangements of polarizable particles (meta-atoms), to realize multifunctional absorbers. In contrast to typical metasurface solutions, where periodicities are limited to half of a wavelength at most to avoid high-order Floquet-Bloch modes, we purposely consider large-period MGs, relying on their proven ability to effectively mitigate spurious scattering. The absorption process is thus implemented via precise engineering of the mutual coupling between numerous individual scatterers fitting in the enlarged period, with these additional degrees of freedom further utilized to enforce the perfect absorption conditions for multiple excitation angles simultaneously. The resultant devices, utilizing a standard printed circuit board configuration obtained semianalytically while featuring relaxed fabrication demands, exhibit high absorption across a wide angular range, useful for radar cross section reduction and energy harvesting applications. © 2022 IEEE.

关键词： Printed circuit boards

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Classification problems with unequal error costs - Performance of selected global optimization algorithms

Classification problems with unequal error costs - Performan...

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2019 World Congress on engineering and computer Science, WCECS 2019

作者： Grzybowski, Andrzej Z. Institue of Mathematics Faculty of Mechanical Engineering and Computer Science Czestochowa University of Technology Czestochowa42-201 Poland

ISBN: (纸本)9789881404879

In the paper, an ordinal classification problem with unequal costs of different classification-error-types is considered in the case where the number of classes is greater than 2. It is assumed that each type of classification errors has its specific cost (weight), and the total cost characterizing a given classifier is defined as the expected value of the cost of the classification result. An optimal classifier would be the one that minimizes such a total cost. Thus to find an approximate solution for such a classification problem it is proposed to use Global Optimization (GO) algorithms. The performance of several different types of GO algorithms as tools for solving such a task are compared via computer simulations. The results of simulation experiments are presented and discussed in the paper. Some remarks about the impact of the cost matrix on the probabilities of classification errors related to the developed classifiers are stated as well. © Newswood *** right reserved.

关键词： Errors

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Comparison of zero-voltage-switching current-fed full-bridge and half-bridge isolated dc/dc converters with active-clamp

Comparison of zero-voltage-switching current-fed full-bridge...

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2011 IEEE 9th International Conference on Power Electronics and Drive Systems, PEDS 2011

作者： Rathore, Akshay K. Li, Xiaodong Electrical and Computer Engineering National University of Singapore 117576 Singapore Singapore Faculty of Information Technology Macau University of Science and Technology China

ISBN: (纸本)9781612849997

This short paper presents a comparison between high-frequency current-fed full-bridge and half-bridge isolated dc/dc converters with active-clamp snubber. Active-clamp snubber, in addition to absorbing the turn-off voltage spike across the switch, acts as a zero-voltage transition auxiliary circuit resulting in zero-voltage switching (ZVS) of the semiconductor devices of converters. ZVS range depends upon the design, in particular, ratio of leakage and magnetizing inductances of the transformer. Cost, ZVS range, efficiency, volume, components' rating, losses and efficiency, and power density per cell are compared to select a converter. © 2011 IEEE.

关键词： Zero voltage switching

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Creation of Juices with Interactive Genetic Algorithm via Taste Communication between Users in Remote Locations 8

Creation of Juices with Interactive Genetic Algorithm via Ta...

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8th International Conference on Business and Industrial Research, ICBIR 2023

作者： Fukumoto, Makoto Hanada, Yoshiko Fukuoka Institute of Technology Dept. of Computer Science and Engineering Fukuoka Japan Kansai University Faculty of Engineering Science Osaka Japan

ISBN: (纸本)9798350399646

Creating media content suited to many users is crucial from the viewpoint of business and a situation with multiple users' participation. Interactive Evolutionary Computation (IEC) is known as a search method that finds good solutions;however, it is originally for each user. This study proposes an IEC that gathers evaluations of multiple users in remote locations and utilizes them in the search, and the search target is good blended juices. Each user's good solution is exchanged between the users as a taste-communication. We had the experiment to investigate the proposed IEC's effectiveness with ten participants in five pairs: two participants of the pair located in different locations. The experimental results showed the effectiveness with a significant increase in fitness values and a significant convergence in the search space. Furthermore, details of the exchange of the GA individuals were investigated by observing the pair's exchange and comparing the fitness values of the exchanged GA individuals. © 2023 IEEE.

关键词： Genetic algorithms

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Augmenting a Process Model with State Machine and Business Artifacts 13

Augmenting a Process Model with State Machine and Business A...

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13th International Conference on Advanced Computing and Applications, ACOMP 2019

作者： Truong, Thai-Minh Ton, Long-Phuoc Faculty of Computer Science and Engineering Ho Chi Minh City University of Technology VNU-HCM Viet Nam

ISBN: (纸本)9781728147239

Business processes play a central role in today's smart applications. To become even smarter, they should be flexible, executable and measurable for adapting to changing demand, being enacted effectively and assessed precisely. Due to the fact that de-facto process modeling languages do not cover these properties, this limitation gives rise to substantial amount of work for the extensions of the mainstream process modeling languages. The existing extensions support to capture the other perspectives of processes (e.g., resource allocation, performance measurement). Focusing on data flow aspect, we propose a framework for augmenting a control flow process model to yield an artifact-centric process model based on the state machine and business artifacts. The proposed mechanism is presented with the help of a real-life case study provided by our industrial partners. © 2019 IEEE.

关键词： Modeling languages

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Assessing Quality of Service Performance in SDN Controllers: POX vs. OpenDaylight 6

Assessing Quality of Service Performance in SDN Controllers:...

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6th International Conference on Advancements in Computing, ICAC 2024

作者： Lokuliyana, Shashika Wijesiri, Pipuni Jayakody, Anuradha Abeygunawardhana, Pradeep K.W. Sri Lanka Institute of Information Technology Faculty of Computing Department of Computer Systems Engineering Malabe Sri Lanka

ISBN: (纸本)9798331517878

This research offers a comparative analysis of Qual-ity of Service (QoS) within Software Defined Networks (SDN) by assessing the POX and OpenDaylight controllers across various network topologies. The results show that OpenDaylight has a 32.59% higher average throughput than POX, demonstrating its superior data handling capabilities. Conversely, POX exhibits a 54.53% lower average delay and an 85.05% higher average jitter compared to OpenDaylight, highlighting its effectiveness in maintaining lower latency and variability in packet transmission times. These contrasting performances provide essential insights for network engineers in selecting the optimal SDN controller based on specific network demands, significantly influencing the overall network efficiency and stability. © 2024 IEEE.

关键词： Quality of service

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Using the optimized radial basis function neural network and instantanous features for ARCS

Using the optimized radial basis function neural network and...

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2nd Annual Conference on Electrical and Control engineering, ICECE 2011

作者： Ebrahimzadeh, Ataollah Hossienzadeh, Mahdi Faculty of Electrical and Computer Engineering Babol University of Technology Babol Iran School of Engineering Sobhan Institute of Higher Education Neyshaboor Iran

ISBN: (纸本)9781424481637

Automatic recognition of the communication signals (ARCS)plays an important role for various applications. this paper presents a hybrid intelligent system that automatically recognizes a variety of digital communication signals. The hybrid system includes three main modules: feature extraction module, classifier module and optimization module. In the feature extraction module, we have used the balanced combination of the instantaneous features and other features of the signals. In the classifier module, a radial basis function neural network is proposed as the classifier. In the optimization module it is optimized the recognizer design by genetic algorithm for selection the best structure of the classifier. Simulation results show that the proposed technique has very high recognition accuracy even at very low SNRs. © 2011 IEEE.

关键词： Genetic algorithms

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A compact wideband printed slot antenna with gain enhancement for GPR applications 18

A compact wideband printed slot antenna with gain enhancemen...

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18th International Conference on Electrical engineering/Electronics, computer, Telecommunications and Information technology, ECTI-CON 2021

作者： Sutham, Thanakorn Thaiwirot, Wanwisa Akkaraekthalin, Prayoot Chalermwisutkul, Suramate King Mongkut's University of Technology North Bangkok Faculty of Engineering Department of Electrical and Computer Engineering Bangkok Thailand Bangkok Thailand

ISBN: (纸本)9780738111278

This paper presents a printed wide slot antenna fed by double-shaped feeding strip with a modified slot for gain enhancement. The inverted U-shaped slot of the original slot antenna is modified by adding the wide rectangular slot. In addition, the small rectangular slots are etched on the bottom edge of the radiating slot to improve impedance matching, especially at lower frequencies. The proposed antenna has dimensions of 230 mm × 270 mm, which provides a very wide impedance bandwidth, covering the frequency range from 0.3 to 3.564 GHz. Moreover, a stable and bi-directional radiation pattern is observed within the frequency lower than 1 GHz for subsurface imaging application. The proposed antenna has maximum realized gain about 8.8 dBi at 2.5 GHz, while improving the gain of original antenna about 1 dBi without increasing the antenna size. © 2021 IEEE.

关键词： Slot antennas

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