![A survey on recent optimal techniques for securing unmanned aerial vehicles applications - Syed - 2021 - Transactions on Emerging Telecommunications Technologies - Wiley Online Library A survey on recent optimal techniques for securing unmanned aerial vehicles applications - Syed - 2021 - Transactions on Emerging Telecommunications Technologies - Wiley Online Library](https://onlinelibrary.wiley.com/cms/asset/77cc5922-892a-4cac-ba00-c859052075f7/ett4133-fig-0002-m.jpg)
A survey on recent optimal techniques for securing unmanned aerial vehicles applications - Syed - 2021 - Transactions on Emerging Telecommunications Technologies - Wiley Online Library
![Mimir: Finding Cost-efficient Storage Configurations in the Public Cloud | Proceedings of the 16th ACM International Conference on Systems and Storage Mimir: Finding Cost-efficient Storage Configurations in the Public Cloud | Proceedings of the 16th ACM International Conference on Systems and Storage](https://dl.acm.org/cms/asset/505aad97-3d0a-457c-9f15-12e461f7e371/3579370.cover.jpg)
Mimir: Finding Cost-efficient Storage Configurations in the Public Cloud | Proceedings of the 16th ACM International Conference on Systems and Storage
![Context-tailored Workload Model Generation for Continuous Representative Load Testing | Proceedings of the ACM/SPEC International Conference on Performance Engineering Context-tailored Workload Model Generation for Continuous Representative Load Testing | Proceedings of the ACM/SPEC International Conference on Performance Engineering](https://dl.acm.org/cms/asset/9449ec79-935a-47d4-a462-cb75231e8d2f/3427921.cover.jpg)
Context-tailored Workload Model Generation for Continuous Representative Load Testing | Proceedings of the ACM/SPEC International Conference on Performance Engineering
![The future is big graphs: a community view on graph processing systems: Communications of the ACM: Vol 64, No 9 The future is big graphs: a community view on graph processing systems: Communications of the ACM: Vol 64, No 9](https://dl.acm.org/cms/asset/1709a6f6-839f-4bd1-b184-d90a29cd45ce/3483634.cover.jpg)
The future is big graphs: a community view on graph processing systems: Communications of the ACM: Vol 64, No 9
![Introducing an annotated bibliography on temporal and evolution aspects in the semantic web | ACM SIGMOD Record Introducing an annotated bibliography on temporal and evolution aspects in the semantic web | ACM SIGMOD Record](https://dl.acm.org/cms/asset/454d733b-b72d-448c-ba5e-333003e6e6b1/2430456.2430460.fp.png)
Introducing an annotated bibliography on temporal and evolution aspects in the semantic web | ACM SIGMOD Record
![Computer security: a survey: ACM SIGMIS Database: the DATABASE for Advances in Information Systems: Vol 4, No 3 Computer security: a survey: ACM SIGMIS Database: the DATABASE for Advances in Information Systems: Vol 4, No 3](https://dl.acm.org/cms/asset/4629103f-5df2-42e0-9869-4bde1e045c8a/1017536.1017537.fp.png)
Computer security: a survey: ACM SIGMIS Database: the DATABASE for Advances in Information Systems: Vol 4, No 3
![Evidential Reasoning for Video Anomaly Detection | Proceedings of the 30th ACM International Conference on Multimedia Evidential Reasoning for Video Anomaly Detection | Proceedings of the 30th ACM International Conference on Multimedia](https://videodelivery.net/eyJraWQiOiI3YjgzNTg3NDZlNWJmNDM0MjY5YzEwZTYwMDg0ZjViYiIsImFsZyI6IlJTMjU2In0.eyJzdWIiOiJjMTQyMTE5YzExODA4OTg0N2Y3ZWVmNjgxNDUxNDZiMSIsImtpZCI6IjdiODM1ODc0NmU1YmY0MzQyNjljMTBlNjAwODRmNWJiIiwiZXhwIjoxNjk2NDA1NTE5fQ.aE2LZbM4i5BmCnk_DgqgDtR3X7NohO-SKMovBE_MgnxSYDS98pbXePW2k6I3W0fCk_lsVrTXOFBlh0iwZQNHETd3BqgMGDYv8J_8XgiPMD4J1v2aJN7Uf5yNUoZp89Fp6_SPWaIY5DNH9hBiZvycumr1c7XcDYKEUkiMd60uKXkRnkHY-1fQzXAzjeImQuGJMJFiHA_6_sc1nxVzZjSL-G8OcptNHXmqacG9FPZT_XYhxFt2bVCaWMwUarfX0V8_rPvVx_uDRDS-QWYXnu2gYWJV1jGNwzD0ya51ALLStypF99ZwC8JvAUNTQtc4-x-Kub0x72n6UjqUhTiD2LlG6g/thumbnails/thumbnail.jpg?time=10.0s)
Evidential Reasoning for Video Anomaly Detection | Proceedings of the 30th ACM International Conference on Multimedia
![LABeL | Proceedings of the 20th ACM International Conference on Modelling, Analysis and Simulation of Wireless and Mobile Systems LABeL | Proceedings of the 20th ACM International Conference on Modelling, Analysis and Simulation of Wireless and Mobile Systems](https://dl.acm.org/cms/asset/3585d7fc-6883-43f5-a652-58f0ac401cea/3127540.cover.jpg)
LABeL | Proceedings of the 20th ACM International Conference on Modelling, Analysis and Simulation of Wireless and Mobile Systems
![PDF) Urban Computing Leveraging Location-Based Social Network Data: a Survey | Thiago H Silva - Academia.edu PDF) Urban Computing Leveraging Location-Based Social Network Data: a Survey | Thiago H Silva - Academia.edu](https://0.academia-photos.com/attachment_thumbnails/62196733/mini_magick20200225-9920-5imk0t.png?1582669088)
PDF) Urban Computing Leveraging Location-Based Social Network Data: a Survey | Thiago H Silva - Academia.edu
![Self-supervised and semi-supervised learning for road condition estimation from distributed road-side cameras | Scientific Reports Self-supervised and semi-supervised learning for road condition estimation from distributed road-side cameras | Scientific Reports](https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fs41598-022-26180-4/MediaObjects/41598_2022_26180_Fig1_HTML.png)
Self-supervised and semi-supervised learning for road condition estimation from distributed road-side cameras | Scientific Reports
![Increasing the Robustness of a Machine Learning-based IoT Malware Detection Method with Adversarial Training | Proceedings of the 2023 ACM Workshop on Wireless Security and Machine Learning Increasing the Robustness of a Machine Learning-based IoT Malware Detection Method with Adversarial Training | Proceedings of the 2023 ACM Workshop on Wireless Security and Machine Learning](https://dl.acm.org/cms/asset/36ec78a1-9728-44c5-9694-b40a5de0171e/3586209.cover.jpg)
Increasing the Robustness of a Machine Learning-based IoT Malware Detection Method with Adversarial Training | Proceedings of the 2023 ACM Workshop on Wireless Security and Machine Learning
![Applied Sciences | Free Full-Text | A Comprehensive Survey on Privacy-Preserving Techniques in Federated Recommendation Systems Applied Sciences | Free Full-Text | A Comprehensive Survey on Privacy-Preserving Techniques in Federated Recommendation Systems](https://www.mdpi.com/applsci/applsci-13-06201/article_deploy/html/images/applsci-13-06201-g001.png)
Applied Sciences | Free Full-Text | A Comprehensive Survey on Privacy-Preserving Techniques in Federated Recommendation Systems
OGAWA, Tadashi on X: "=> "I/O Access Patterns in HPC Applications: A 360-Degree Survey", ACM Computing Surveys, Sep 15, 2023 (Open) https://t.co/t20xpmEYQa I/O community's knowledge over the past 20 years 41 pp,
![Towards Query Performance Prediction for Neural Information Retrieval: Challenges and Opportunities | Proceedings of the 2023 ACM SIGIR International Conference on Theory of Information Retrieval Towards Query Performance Prediction for Neural Information Retrieval: Challenges and Opportunities | Proceedings of the 2023 ACM SIGIR International Conference on Theory of Information Retrieval](https://dl.acm.org/cms/asset/085a9787-2cfa-4eb8-ba93-c5782b66822d/3578337.cover.jpg)
Towards Query Performance Prediction for Neural Information Retrieval: Challenges and Opportunities | Proceedings of the 2023 ACM SIGIR International Conference on Theory of Information Retrieval
![A Systematic Study on Reproducibility of Reinforcement Learning in Recommendation Systems | ACM Transactions on Recommender Systems A Systematic Study on Reproducibility of Reinforcement Learning in Recommendation Systems | ACM Transactions on Recommender Systems](https://dl.acm.org/cms/asset/4b20c7d9-2d18-4e6e-9096-1d7edb8a7a53/3609309.cover.jpg)
A Systematic Study on Reproducibility of Reinforcement Learning in Recommendation Systems | ACM Transactions on Recommender Systems
![Sensors | Free Full-Text | Multi-Agent Deep Reinforcement Learning for Multi-Robot Applications: A Survey Sensors | Free Full-Text | Multi-Agent Deep Reinforcement Learning for Multi-Robot Applications: A Survey](https://www.mdpi.com/sensors/sensors-23-03625/article_deploy/html/images/sensors-23-03625-g001-550.jpg)
Sensors | Free Full-Text | Multi-Agent Deep Reinforcement Learning for Multi-Robot Applications: A Survey
![Occupancy detection systems for indoor environments: A survey of approaches and methods - Dipti Trivedi, Venkataramana Badarla, 2020 Occupancy detection systems for indoor environments: A survey of approaches and methods - Dipti Trivedi, Venkataramana Badarla, 2020](https://journals.sagepub.com/cms/10.1177/1420326X19875621/asset/images/large/10.1177_1420326x19875621-fig1.jpeg)
Occupancy detection systems for indoor environments: A survey of approaches and methods - Dipti Trivedi, Venkataramana Badarla, 2020
![From taxi GPS traces to social and community dynamics: A survey: ACM Computing Surveys: Vol 46, No 2 From taxi GPS traces to social and community dynamics: A survey: ACM Computing Surveys: Vol 46, No 2](https://dl.acm.org/cms/asset/6a6f59d7-d556-4284-ae5a-90a80e3f330d/2543581.cover.jpg)
From taxi GPS traces to social and community dynamics: A survey: ACM Computing Surveys: Vol 46, No 2
![Balancing Fairness and Accuracy in Sentiment Detection using Multiple Black Box Models | Proceedings of the 2nd International Workshop on Fairness, Accountability, Transparency and Ethics in Multimedia Balancing Fairness and Accuracy in Sentiment Detection using Multiple Black Box Models | Proceedings of the 2nd International Workshop on Fairness, Accountability, Transparency and Ethics in Multimedia](https://dl.acm.org/cms/asset/da0c4cda-6a15-4594-acad-dcdd5fae87f6/3422841.cover.jpg)
Balancing Fairness and Accuracy in Sentiment Detection using Multiple Black Box Models | Proceedings of the 2nd International Workshop on Fairness, Accountability, Transparency and Ethics in Multimedia
![Robust Query Optimization Methods With Respect to Estimation Errors: A Survey: ACM SIGMOD Record: Vol 44, No 3 Robust Query Optimization Methods With Respect to Estimation Errors: A Survey: ACM SIGMOD Record: Vol 44, No 3](https://dl.acm.org/cms/asset/d1344ed7-ebe4-49a3-b147-e9bc3e24f461/2854006.cover.jpg)
Robust Query Optimization Methods With Respect to Estimation Errors: A Survey: ACM SIGMOD Record: Vol 44, No 3
![Delay-Sensitive Video Computing in the Cloud: A Survey: ACM Transactions on Multimedia Computing, Communications, and Applications: Vol 14, No 3s Delay-Sensitive Video Computing in the Cloud: A Survey: ACM Transactions on Multimedia Computing, Communications, and Applications: Vol 14, No 3s](https://dl.acm.org/cms/asset/c6a6f0bc-08e9-41b5-880d-b378faaad7fb/3233173.cover.jpg)