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Women in Computational Intelligence 1

丛书名： Women in engineering and Science

1000年

作者： Alice E Smith

ISBN: (数字)9783030790929

ISBN: (纸本)9783030790912;9783030790943

This book provides a breadth of innovative and impactful research in the field computational intelligence led by women investigators. Topics include intelligent data analytics, optimization of complex systems, approximation of human reasoning, robotic path planning, and intelligent control systems. These topics touch on many of the technological challenges facing the world today and these solutions by women researcher teams are valuable for their excellence and their non-traditional perspective. As an important part of the Women in Science and engineering book series, the work highlights the contribution of women leaders in computational intelligence, inspiring women and men, girls, and boys to enter and apply themselves to this exciting multi-disciplinary field.

关键词： Computational Intelligence Communications engineering, Networks Job Careers in Science and engineering History of Science

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Transaction transmission model for blockchain channels based on non-cooperative games

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Science China(Information Sciences) 2023年第1期66卷 97-114页

作者： Peiyun ZHANG Chenxi LI Mengchu ZHOU Wenjun HUANG Abdullah ABUSORRAH Omaimah O.BAMASAG Engineering Research Center of Digital Forensics of Ministry of Education School of Computer and SoftwareNanjing University of Information Science and Technology School of Computer and Information Anhui Normal University Department of Electrical and Computer Engineering New Jersey Institute of Technology Center of Research Excellence in Renewable Energy and Power Systems Department of Electrical and Computer Engineering Faculty of Engineering and K.A.CARE Energy Research and Innovation CenterKing Abdulaziz University Department of Computer Science Faculty of Computing and Information Technology Center of Excellence in Smart Environment Research King Abdulaziz University

In blockchain networks, transactions can be transmitted through channels. The existing transmission methods depend on their routing information. If a node randomly chooses a channel to transmit a transaction, the transmission may be aborted due to insufficient funds(also called balance) or a low transmission rate. To increase the success rate and reduce transmission delay across all transactions, this work proposes a transaction transmission model for blockchain channels based on non-cooperative game *** balance, channel states, and transmission probability are fully considered. This work then presents an optimized channel transaction transmission algorithm. First, channel balances are analyzed and suitable channels are selected if their balance is sufficient. Second, a Nash equilibrium point is found by using an iterative sub-gradient method and its related channels are then used to transmit transactions. The proposed method is compared with two state-of-the-art approaches: Silent Whispers and Speedy Murmurs. Experimental results show that the proposed method improves transmission success rate, reduces transmission delay,and effectively decreases transmission overhead in comparison with its two competitive peers.

关键词： Blockchain channel transaction transmission channel balance channel state channel transmission probability non-cooperative game

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Towards estimating computer users＇ mood from interaction behaviour with keyboard and mouse

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Frontiers of computer Science 2013年第6期7卷 943-954页

作者： Iflikhar Ahmed KHAN Willem-Paul BRINKMAN Robert HIERONS Department of Computer Software Engineering University of Engineering & Technology Mardan 23200 Pakistan Interactive Intelligence Group Delft University of Technology Delft 2628B the Netherlands Department of Information Systems and Computing Brunel University West London UB83PH UK

The purpose of this exploratory research was to study the relationship between the mood of computer users and their use of keyboard and mouse to examine the possibility of creating a generic or individualized mood measure. To examine this, a field study （n = 26） and a controlled study （n = 16） were conducted. In the field study, interaction data and self-reported mood measurements were collected during normal PC use over several days. In the controlled study, participants worked on a programming task while listening to high or low arousing background music. Besides subjective mood measurement, galvanic skin response （GSR） data was also collected. Results found no generic relationship between the interaction data and the mood data. However, the re- suits of the studies found significant average correlations be- tween mood measurement and personalized regression models based on keyboard and mouse interaction data. Together the results suggest that individualized mood prediction is pos- sible from interaction behaviour with keyboard and mouse.

关键词： keyboard mouse interaction mood measure computer users programming

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Corrections to “An Ensemble Hybrid Framework: A Comparative Analysis of Metaheuristic Algorithms for Ensemble Hybrid CNN Features for Plants Disease Classification”

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IEEE Access 2025年 13卷 31659-31659页

作者： Khaoula Taji Ali Sohail Tariq Shahzad Bilal Shoaib Khan Muhammad Adnan Khan Khmaies Ouahada Electronic Systems Information Processing Mechanics and Energy Laboratory Kenitra Faculty of Sciences Ibn Tofail University Kenitra Morocco Department of Computer Science Minhaj University Lahore Lahore Pakistan Department of Electrical and Electronic Engineering Science University of Johannesburg Johannesburg South Africa Department of Computer Science Green International University Lahore Pakistan Department of Software Faculty of Artificial Intelligence and Software Gachon University Seongnam-si Republic of Korea

Presents corrections to the paper, Corrections to “An Ensemble Hybrid Framework: A Comparative Analysis of Metaheuristic Algorithms for Ensemble Hybrid CNN Features for Plants Disease Classification”.

关键词： Plant diseases Metaheuristics

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Deepfake Detection: Emerging Techniques and Evolving Challenges 12

Deepfake Detection: Emerging Techniques and Evolving Challen...

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12th International Conference on Internet of Everything, Microwave, Embedded, Communication and Networks, IEMECON 2024

作者： Natarajan, Krishnaraj Mathur, Abeer Bhargava, Kshitiz Singh, Manvendra Tejpal, Moulik Department of Database Systems School of Computer Science & Engineering Vellore Institute of Technology Vellore India Department of Software Systems School of Computer Science & Engineering Vellore Institute of Technology Vellore India

ISBN: (纸本)9798350387315

Several newly developed techniques and tools for manipulating images, audio, and videos have been introduced as an outcome of the recent and rapid breakthroughs in AI, machine learning, and deep learning. While most applications for these techniques or tools are in the fields of entertainment and education, some individuals with unlawful intent have also been benefited from them. These individuals use such techniques for various purposes, including the spread of misleading information and unnecessary propaganda, the incitement of political instability, hate and unrest, as well as for purposes of torture and blackmail. These high-quality and convincing manipulated images, audio, or videos are commonly referred to as ‘Deepfakes’. Since then, various solutions to the problems raised by Deepfakes have been proposed in academic studies. This literature review contains relevant publications that offered a variety of approaches to give an updated summary of the research activities in different types of Deepfake attacks, their detection, and countermeasures. It also assesses the effectiveness of the detection capabilities of different techniques with various datasets and algorithms applied in Deepfake detection, while also outlining the various benefits and drawbacks of various methodologies. © 2024 IEEE.

关键词： Deep learning

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A component-oriented programming for embedded mobile robot software

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International Journal of Advanced Robotic systems 2007年第3期4卷 371-380页

作者： Jawawi, Dayang N. A. Mamat, Rosbi Deris, Safaai Department of Software Engineering Faculty of Computer Science and Information Systems Universiti Teknologi Malaysia 81310 UTM Skudai Malaysia Department of Mechatronics and Robotics Engineering Faculty of Electrical Engineering Universiti Teknologi Malaysia 81310 UTM Skudai Malaysia

Applying software reuse to many Embedded Real-Time (ERT) systems poses significant challenges to industrial software processes due to the resource-constrained and real-time requirements of the systems. Autonomous Mobile Robot (AMR) system is a class of ERT systems, hence, inherits the challenge of applying software reuse in general ERT systems. Furthermore, software reuse in AMR systems is challenged by the diversities in terms of robot physical size and shape, environmental interaction and implementation platform. Thus, it is envisioned that component-based software engineering will be the suitable way to promote software reuse in AMR systems with consideration to general requirements to be self-contained, platform-independent and real-time predictable. A framework for component-oriented programming for AMR software development using PECOS component model is proposed in this paper. The main features of this framework are: (1) use graphical representation for components definition and composition;(2) target C language for optimal code generation with resource-constrained micro-controller;and (3) minimal requirement for run-time support. Real-time implementation indicates that, the PECOS component model together with the proposed framework is suitable for resource constrained embedded AMR systems software development.

关键词： Mobile robots

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Countering Deepfakes using an Improved Advanced CNN and its Ensemble with Pretrained Models 3

Countering Deepfakes using an Improved Advanced CNN and its ...

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3rd International Conference on Electrical, Electronics, Information and Communication Technologies, ICEEICT 2024

作者： Mathur, Abeer Tejpal, Moulik Bhargava, Kshitiz Natarajan, Krishnaraj Singh, Manvendra Vellore Institute of Technology School of Computer Science & Engineering Department of Software Systems Vellore India Vellore Institute of Technology School of Computer Science & Engineering Department of Database Systems Vellore India

ISBN: (纸本)9798350369083

The extensive spread of DeepFake images on the internet has emerged as a significant challenge, with applications ranging from harmless entertainment to harmful acts like blackmail, misinformation, and spreading false propaganda. To tackle this issue, this paper introduces a sophisticated DeepFake detection model designed to identify and mitigate the increase of these deceptive images. The model architecture integrates an ensemble approach, combining the strengths of two pre-trained Convolutional Neural Network (CNN) models - MobileNet and Xception - with a novel CNN architecture, the Advanced CNN (ACNN). This rigorous validation process enabled the model to achieve a high accuracy rate of 97.89% in detecting DeepFakes. The successful implementation of this ensemble CNN approach demonstrates its effectiveness in distinguishing between real and fabricated imagery with high precision. This research makes a substantial contribution to the field of digital image forensics, offering a reliable tool for stakeholders across various sectors to identify and counteract the spread of DeepFake images online. © 2024 IEEE.

关键词： Generative adversarial networks

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ASD: Emotions and behavioural-based interventions through social sensor networks

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International Journal of Networking and Virtual Organisations 2018年第2-4期19卷 133-152页

作者： Faustin, Uwizeyimana Kovalan, A. Kannan, Rajkumar School of Computer Sciences and Application Periyar Maniyammai University Thanjavur India Department of Software Engineering Periyar Maniyammai University Thanjavur India Department of Information Systems College of Computer Sciences and IT King Faisal University Saudi Arabia

In India, nowadays one per 88 children is born with autism spectrum disorder (ASD) contrary to a ratio of one per 110 children few years back. In this paper, we propose a social sensor network for individuals with ASD to offer medical promotions as intervention and first aid. They should be in care and medical surveillances. We are monitoring enjoyment, frustration, boredom, and stress by using body-worn sensors and video streaming. This sensor collects the information from the human body and transmits it to their smart phones then to the external server. We introduce an algorithm named as spectrum clustering algorithm (SCA) which clusters people based on activities of the child. Communication is provided between the clusters of people by using context recommendation algorithm. We use prerogative response algorithm (PRA) for load balancing on server while processing the requests. Our processes are simulated using Omnet++ simulator and provide effective results. Copyright © 2018 Inderscience Enterprises Ltd.

关键词： Sensor networks

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Process deployment: A taxonomy of critical success factors

Process deployment: A taxonomy of critical success factors

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2010 6th International Joint Conference on computer, Information, and systems Sciences, and engineering, CISSE 2010

作者： Bayona, Luz S. Calvo-Manzano, Jose A. Cuevas, Gonzalo Feliu, Tomás San Faculty of Computer Science Department of Languages and IT Systems and Software Engineering Technical University of Madrid Madrid Spain

ISBN: (纸本)9781461435570

Various methods, models and standards for software process improvement have been adopted by organizations to improve their software processes. However, despite these efforts they still encounter difficulties in their process deployment throughout the organization. This is because the vast majority of these efforts focus more on the technical aspects, bypassing the human aspects. There is a set of factors that influence the successful deployment of new or modified processes. This paper presents taxonomy of critical success factors in software process deployment to achieve the processes institutionalization. The development of a taxonomy related to these critical success factors is based on a systematic review of existing literature on specialized databases and industrial experiences that have deployed or implemented processes. © 2013 Springer Science+Business Media.

关键词： Taxonomies

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Domain-specific modelling for coordination engineering with SCOPE

Domain-specific modelling for coordination engineering with ...

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Modellierung 2012 - Modeling 2012

作者： Gudenkauf, Stefan Kruse, Steffen Hasselbring, Wilhelm Software Engineering for Business Information Systems OFFIS Institute for Computer Science Germany Software Engineering Group Department of Computer Science Christian-Albrechts-Universität zu Kiel Germany

ISBN: (纸本)9783885792956

The demand for increasing performance is a continuous trend in computing. Today's multi-core processors and future many-core processors require software developers to exploit concurrency in software as far as possible. To ease the task of developing concurrent software we present our Coordination-First approach and the coordination modelling language SCOPE that introduces the space-based choreography of processes, which internally orchestrate fine-grained workflow activities. The main contributions are (1) the Coordination-First approach that addresses the conformance to higher-level concurrency models in a standardised way by regarding the coordination model of a concurrent program as the first artefact in the software development process using model-driven software engineering techniques, (2) the coordination language SCOPE which conforms to the well-known BPMN 2.0 and differentiates between the space-based choreography of multiple concurrent process components and the orchestration of fine-grained activities within a single process component, and (3) the SCOPE workbench - an implementation of SCOPE based on the Xtext language framework to show the feasibility of our approach.

关键词： Modeling languages

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