Zobrazeno 1 - 10
of 54 253
pro vyhledávání: '"A A Putra"'
Trusted execution environments (TEEs) protect the integrity and confidentiality of running code and its associated data. Nevertheless, TEEs' integrity protection does not extend to the state saved on disk. Furthermore, modern cloud-native application
Externí odkaz:
http://arxiv.org/abs/2408.06822
Autonomous embedded systems (e.g., robots) typically necessitate intelligent computation with low power/energy processing for completing their tasks. Such requirements can be fulfilled by embodied neuromorphic intelligence with spiking neural network
Externí odkaz:
http://arxiv.org/abs/2407.05262
Total Lagrangian Smoothed Particle Hydrodynamics (TLSPH) is one variant of SPH where the variables are described using the fixed reference configuration and a Lagrangian smoothing kernel. TLSPH elevates the computational efficiency of the standard SP
Externí odkaz:
http://arxiv.org/abs/2407.04021
Autor:
Lovenia, Holy, Mahendra, Rahmad, Akbar, Salsabil Maulana, Miranda, Lester James V., Santoso, Jennifer, Aco, Elyanah, Fadhilah, Akhdan, Mansurov, Jonibek, Imperial, Joseph Marvin, Kampman, Onno P., Moniz, Joel Ruben Antony, Habibi, Muhammad Ravi Shulthan, Hudi, Frederikus, Montalan, Railey, Ignatius, Ryan, Lopo, Joanito Agili, Nixon, William, Karlsson, Börje F., Jaya, James, Diandaru, Ryandito, Gao, Yuze, Amadeus, Patrick, Wang, Bin, Cruz, Jan Christian Blaise, Whitehouse, Chenxi, Parmonangan, Ivan Halim, Khelli, Maria, Zhang, Wenyu, Susanto, Lucky, Ryanda, Reynard Adha, Hermawan, Sonny Lazuardi, Velasco, Dan John, Kautsar, Muhammad Dehan Al, Hendria, Willy Fitra, Moslem, Yasmin, Flynn, Noah, Adilazuarda, Muhammad Farid, Li, Haochen, Lee, Johanes, Damanhuri, R., Sun, Shuo, Qorib, Muhammad Reza, Djanibekov, Amirbek, Leong, Wei Qi, Do, Quyet V., Muennighoff, Niklas, Pansuwan, Tanrada, Putra, Ilham Firdausi, Xu, Yan, Tai, Ngee Chia, Purwarianti, Ayu, Ruder, Sebastian, Tjhi, William, Limkonchotiwat, Peerat, Aji, Alham Fikri, Keh, Sedrick, Winata, Genta Indra, Zhang, Ruochen, Koto, Fajri, Yong, Zheng-Xin, Cahyawijaya, Samuel
Southeast Asia (SEA) is a region rich in linguistic diversity and cultural variety, with over 1,300 indigenous languages and a population of 671 million people. However, prevailing AI models suffer from a significant lack of representation of texts,
Externí odkaz:
http://arxiv.org/abs/2406.10118
Autonomous Driving (AD) systems are considered as the future of human mobility and transportation. Solving computer vision tasks such as image classification and object detection/segmentation, with high accuracy and low power/energy consumption, is h
Externí odkaz:
http://arxiv.org/abs/2404.03493
The learning to defer (L2D) framework allows autonomous systems to be safe and robust by allocating difficult decisions to a human expert. All existing work on L2D assumes that each expert is well-identified, and if any expert were to change, the sys
Externí odkaz:
http://arxiv.org/abs/2403.02683
Autor:
Fernandez, Gabriel P., Brito, Andrey, Hartono, Ardhi Putra Pratama, Sardar, Muhammad Usama, Fetzer, Christof
Our objective is to protect the integrity and confidentiality of applications operating in untrusted environments. Trusted Execution Environments (TEEs) are not a panacea. Hardware TEEs fail to protect applications against Sybil, Fork and Rollback At
Externí odkaz:
http://arxiv.org/abs/2311.06154
Weak supervision has emerged as a promising approach for rapid and large-scale dataset creation in response to the increasing demand for accelerated NLP development. By leveraging labeling functions, weak supervision allows practitioners to generate
Externí odkaz:
http://arxiv.org/abs/2310.11258
Publikováno v:
Studies in Economics and Finance, 2023, Vol. 41, Issue 4, pp. 741-750.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/SEF-12-2022-0569
Autor:
Saifullah, Shoffan, Drezewski, Rafal, Yudhana, Anton, Pranolo, Andri, Kaswijanti, Wilis, Suryotomo, Andiko Putro, Putra, Seno Aji, Khaliduzzaman, Alin, Prabuwono, Anton Satria, Japkowicz, Nathalie
Publikováno v:
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI), Vol 9, No 3 (2023)
This study explored the application of CNN-Transfer Learning for nondestructive chicken egg fertility detection for precision poultry hatchery practices. Four models, VGG16, ResNet50, InceptionNet, and MobileNet, were trained and evaluated on a datas
Externí odkaz:
http://arxiv.org/abs/2309.16257