Papers by Computer Science & Information Technology (CS & IT) Computer Science Conference Proceedings (CSCP)
6th International Conference on Machine learning and Cloud Computing (MLCL 2025) will provide an ... more 6th International Conference on Machine learning and Cloud Computing (MLCL 2025) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Machine Learning & Cloud computing. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.
8th International Conference on Natural Language Processing and Trends (NATAP 2025) will provide ... more 8th International Conference on Natural Language Processing and Trends (NATAP 2025) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Natural Language Computing. The Conference looks for significant contributions to all major fields of the Natural Language Computing in theoretical and practical aspects.
6th International Conference on Signal Processing and Machine Learning (SIGML 2025) will provide ... more 6th International Conference on Signal Processing and Machine Learning (SIGML 2025) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Signal Processing and Machine Learning. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.
6th International Conference on Cloud and Internet of Things (ICCIoT 2025) will provide an excell... more 6th International Conference on Cloud and Internet of Things (ICCIoT 2025) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Cloud and IoT. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.
11th International Conference on Artificial Intelligence & Applications (ARIA 2024) will provide ... more 11th International Conference on Artificial Intelligence & Applications (ARIA 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Artificial Intelligence. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.
2nd International Conference on Mathematics, Computer Science & Engineering (MATHCS 2024) will pr... more 2nd International Conference on Mathematics, Computer Science & Engineering (MATHCS 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications impacts and challenges of Mathematics, Computer Science & Engineering. The conference documents practical and theoretical results which make a fundamental contribution for the development of Mathematics Computer Science & Engineering. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field. The goal of this Conference is to bring together researchers and practitioners from academia and industry to focus on Mathematics and Sciences advancements, and establishing new collaborations in these areas.
5th International Conference on Data Science and Machine Learning (DSML 2024) will act as a major... more 5th International Conference on Data Science and Machine Learning (DSML 2024) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Data Science and Machine Learning. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of Data Science and Machine Learning.
5th International Conference on NLP & Artificial Intelligence Techniques (NLAI 2024) will provide... more 5th International Conference on NLP & Artificial Intelligence Techniques (NLAI 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of NLP & Artificial Intelligence Techniques. The Conference looks for significant contributions to all major fields of NLP and Artificial Intelligence in theoretical and practical aspects. The aim of the Conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.
5th International Conference on Machine Learning Techniques and NLP (MLNLP 2024) will provide an ... more 5th International Conference on Machine Learning Techniques and NLP (MLNLP 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Machine Learning Techniques and NLP.
Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to.
org/sesbc/index Scope & Topics 5 th International Conference on Software Engineering, Security an... more org/sesbc/index Scope & Topics 5 th International Conference on Software Engineering, Security and Blockchain (SESBC 2024) Will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Software Engineering, Security and Block chain. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Software Engineering, Security and Block chain.
11 th International Conference on Computer Science, Engineering and Information Technology (CSEI... more 11 th International Conference on Computer Science, Engineering and Information Technology (CSEIT 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Computer Science, Engineering and Information Technology. The Conference looks for significant contributions to all major fields of the Computer Science and Information Technology in theoretical and practical aspects. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to.
6 th International Conference on Machine Learning & Applications (CMLA 2024) will provide an exce... more 6 th International Conference on Machine Learning & Applications (CMLA 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Machine Learning & Applications. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to.
The proliferation of fake news poses a serious threat to society, as it can misinform and manipul... more The proliferation of fake news poses a serious threat to society, as it can misinform and manipulate the
public, erode trust in institutions, and undermine democratic processes. To address this issue, we present
FakeSwarm, a fake news identification system that leverages the swarming characteristics of fake news.
We propose a novel concept of fake news swarming characteristics and design three types of swarm
features, including principal component analysis, metric representation, and position encoding, to extract
the swarm behavior. We evaluate our system on a public dataset and demonstrate the effectiveness of
incorporating swarm features in fake news identification, achieving an f1-score and accuracy over 97% by
combining all three types of swarm features. Furthermore, we design an online learning pipeline based on
the hypothesis of the temporal distribution pattern of fake news emergence, which is validated on a topic
with early emerging fake news and a shortage of text samples, showing that swarm features can
significantly improve recall rates in such cases. Our work provides a new perspective and approach to fake
news detection and highlights the importance of considering swarming characteristics in detecting fake
news.
Mnih's seminal deep reinforcement learning paper that applied a Deep Q-network to Atari video gam... more Mnih's seminal deep reinforcement learning paper that applied a Deep Q-network to Atari video games demonstrated the importance of a replay buffer and a target network. Though the pair were required for convergence, the use of the replay buffer came at a significant computational cost. With each new sample generated by the system, the targets in the mini batch buffer were continually recomputed. We propose an alternative that eliminates the target recomputation called TAO-DQN (Target Accelerated Optimization-DQN). Our approach focuses on a new replay buffer algorithm that lowers the computational burden. We implemented this new approach on three experiments involving environments from the OpenAI gym. This resulted in convergence to better policies in fewer episodes and less time. Furthermore, we offer a mathematical justification for our improved convergence rate.
Mnih's seminal deep reinforcement learning paper that applied a Deep Q-network to Atari video gam... more Mnih's seminal deep reinforcement learning paper that applied a Deep Q-network to Atari video games demonstrated the importance of a replay buffer and a target network. Though the pair were required for convergence, the use of the replay buffer came at a significant computational cost. With each new sample generated by the system, the targets in the mini batch buffer were continually recomputed. We propose an alternative that eliminates the target recomputation called TAO-DQN (Target Accelerated Optimization-DQN). Our approach focuses on a new replay buffer algorithm that lowers the computational burden. We implemented this new approach on three experiments involving environments from the OpenAI gym. This resulted in convergence to better policies in fewer episodes and less time. Furthermore, we offer a mathematical justification for our improved convergence rate.
org/aifl/index Scope & Topics 11 th International Conference of Artificial Intelligence and Fuzzy... more org/aifl/index Scope & Topics 11 th International Conference of Artificial Intelligence and Fuzzy Logic (AI & FL 2023) provides a forum for researchers who address this issue and to present their work in a peer-reviewed forum. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to these topics only. Authors are solicited to contribute to this conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Artificial Intelligence & applications.
10th International Conference on Foundations of Computer Science & Technology (CST 2023) will pro... more 10th International Conference on Foundations of Computer Science & Technology (CST 2023) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Computer Science & Technology. The goal of this Conference is to bring together researchers and practitioners from academia and industry to focus on understanding Modern Computer Science & Technology concepts and establishing new collaborations in these areas.
14th International Conference on Internet Engineering & Web Services (InWeS 2023) will provide an... more 14th International Conference on Internet Engineering & Web Services (InWeS 2023) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Internet Engineering & Web services environment. Current information age is witnessing a dramatic use of digital and electronic devices in the workplace and beyond. Internet Engineering & Web services present a rather arduous requirement of robustness, reliability and availability to the end user. Internet Engineering & Web services has received a significant and sustained research interest in terms of designing and deploying large scale and high performance computational applications in real life. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.
4th International Conference on Computational Science and Engineering (DSCC 2023) will act as a m... more 4th International Conference on Computational Science and Engineering (DSCC 2023) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Data Science, Cloud Computing and Applications. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of Data Science, Cloud Computing & Applications.
Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in Data Science, Cloud Computing & Applications
International Conference on Computer Science, Engineering and Information Technology Trends (CSEI... more International Conference on Computer Science, Engineering and Information Technology Trends (CSEITT 2023) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Computer Science, Computer Engineering and Information Technology Trends. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the fields.
Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to:
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Papers by Computer Science & Information Technology (CS & IT) Computer Science Conference Proceedings (CSCP)
Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to.
public, erode trust in institutions, and undermine democratic processes. To address this issue, we present
FakeSwarm, a fake news identification system that leverages the swarming characteristics of fake news.
We propose a novel concept of fake news swarming characteristics and design three types of swarm
features, including principal component analysis, metric representation, and position encoding, to extract
the swarm behavior. We evaluate our system on a public dataset and demonstrate the effectiveness of
incorporating swarm features in fake news identification, achieving an f1-score and accuracy over 97% by
combining all three types of swarm features. Furthermore, we design an online learning pipeline based on
the hypothesis of the temporal distribution pattern of fake news emergence, which is validated on a topic
with early emerging fake news and a shortage of text samples, showing that swarm features can
significantly improve recall rates in such cases. Our work provides a new perspective and approach to fake
news detection and highlights the importance of considering swarming characteristics in detecting fake
news.
Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in Data Science, Cloud Computing & Applications
Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to:
Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to.
public, erode trust in institutions, and undermine democratic processes. To address this issue, we present
FakeSwarm, a fake news identification system that leverages the swarming characteristics of fake news.
We propose a novel concept of fake news swarming characteristics and design three types of swarm
features, including principal component analysis, metric representation, and position encoding, to extract
the swarm behavior. We evaluate our system on a public dataset and demonstrate the effectiveness of
incorporating swarm features in fake news identification, achieving an f1-score and accuracy over 97% by
combining all three types of swarm features. Furthermore, we design an online learning pipeline based on
the hypothesis of the temporal distribution pattern of fake news emergence, which is validated on a topic
with early emerging fake news and a shortage of text samples, showing that swarm features can
significantly improve recall rates in such cases. Our work provides a new perspective and approach to fake
news detection and highlights the importance of considering swarming characteristics in detecting fake
news.
Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in Data Science, Cloud Computing & Applications
Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to:
Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to.
Authors are solicited to contribute to the Conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Computer Science and Information Technology.