Titlebook: Computational Collective Intelligence; 16th International C Ngoc Thanh Nguyen,Bogdan Franczyk,Adrianna Kozierk Conference proceedings 2024

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書目名稱Computational Collective Intelligence影響因子(影響力)




書目名稱Computational Collective Intelligence影響因子(影響力)學(xué)科排名




書目名稱Computational Collective Intelligence網(wǎng)絡(luò)公開度




書目名稱Computational Collective Intelligence網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Computational Collective Intelligence被引頻次




書目名稱Computational Collective Intelligence被引頻次學(xué)科排名




書目名稱Computational Collective Intelligence年度引用




書目名稱Computational Collective Intelligence年度引用學(xué)科排名




書目名稱Computational Collective Intelligence讀者反饋




書目名稱Computational Collective Intelligence讀者反饋學(xué)科排名

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An Empirical Analysis of?the?Usage of?Requirements Attributes in?Requirements Engineering Research aature review and two industrial case studies performed at two large organizations developing software-intensive products for a global market. We performed seven snowballing iterations and identified 18 studies where we extracted requirements attributes. Next, we compare these identified attributes w

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Experimental Study on?Link Prediction in?Unweighted and?Weighted Time-Evolving Organizational Social to forecast future connections between pairs of unconnected nodes by analyzing existing connections. The main goal of the paper is to experimentally verify whether incorporating weights on links between vertices, indicating the strength of the relationship, enhances the performance of similarity-ba

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Assessing Student Quality of Life: Analysis of Key Influential Factors-being. Recognizing the complexity of students’ well-being, our research employed a comprehensive questionnaire distributed among a cohort of 544 participants, featuring 201 carefully designed questions across seven thematic blocks. These blocks were tailored to explore various dimensions of student

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Strengthening Network Intrusion Detection in?IoT Environments with?Self-supervised Learning and?Few of connectivity between them. As the IoT networks grow and expand, they become more susceptible to cybersecurity attacks. A significant challenge in current intrusion detection systems for IoT includes handling imbalanced datasets where labeled data are scarce, particularly for new and rare types o

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Detection of Fake Facial Images and Changes in Real Facial Imagesnise objects, characters, and player movements in video games. This allows games to react to player behaviours more intelligently, providing more dynamic and engaging experiences. Additionally, applying deep learning techniques combined with Computer Vision supports generating automatic special effe

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TabGAN-Powered Data Augmentation and?Explainable Boosting-Based Ensemble Learning for?Intrusion Deteenging. This study presents TDAELID, a method designed to improve cyber assault detection on the widely used IEC 60870-5-104 protocol in ICS. TDAELID employs TabGAN to generate realistic samples from minority classes and a clustering approach to select representative samples from majority classes, e