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Pediatrik yaş grubu primer idiyopatik parsiyel epilepsilerinde kantitatif manyetik rezonans görüntüleme ile amigdala volümlerinin değerlendirilmesi [PDF]

, 2006
Günsür, Demet
core  

Meme lezyonlarının karakterizasyonunda difüzyon ağırlıklı manyetik rezonans görüntülemenin tanıya katkısı [PDF]

, 2006
Altay, Canan
core  

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Performance analysis and availability optimization to improve maintenance schedule for the turbo-generator subsystem of a thermal power plant using particle swarm optimization

Reliability Engineering and System Safety, 2020
The work reported in this paper evaluates the performance of the turbo-generator subsystem of a thermal power plant by employing a particle swarm optimization method.
Hanumant Jagtap, Ravinder Kumar, Mohammad H Ahmadi   +2 more
exaly   +2 more sources

Energy and exergy analysis of the turbo-generators and steam turbine for the main feed water pump drive on LNG carrier

Energy Conversion and Management, 2017
Vedran Mrzljak, Igor Poljak, Tomislav Mrakovčić   +2 more
exaly   +2 more sources

Decomposing the Training of Deep Learned Turbo codes via a Feasible MAP Decoder

International Symposium on Turbo Codes and Iterative Information Processing, 2023
Most deep-learned error-correcting codes (DL-ECCs) use binary cross-entropy (BCE) between the true input bits and the soft decoded outputs of the learned encoder/decoder pair as a loss function during training.
Abhijeet Mulgund, Natasha Devroye, György Turán, Milos Zefran   +3 more
semanticscholar   +1 more source

Robust Recovery of Structured Sparse Signals With Uncertain Sensing Matrix: A Turbo-VBI Approach

IEEE Transactions on Wireless Communications, 2020
In many applications in wireless communications, we need to recover a structured sparse signal from a linear measurement model with uncertain sensing matrix. There are two challenges of designing an algorithm framework for this problem.
An Liu, Guanying Liu, Lixiang Lian, V. Lau, Min-Jian Zhao   +4 more
semanticscholar   +1 more source

AutoDAN-Turbo: A Lifelong Agent for Strategy Self-Exploration to Jailbreak LLMs

International Conference on Learning Representations
In this paper, we propose AutoDAN-Turbo, a black-box jailbreak method that can automatically discover as many jailbreak strategies as possible from scratch, without any human intervention or predefined scopes (e.g., specified candidate strategies), and ...
Xiaogeng Liu, Peiran Li, Edward Suh, Yevgeniy Vorobeychik, Z. Mao, Somesh Jha, P. McDaniel, Huan Sun, Bo Li, Chaowei Xiao   +9 more
semanticscholar   +1 more source

T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback

Neural Information Processing Systems
Diffusion-based text-to-video (T2V) models have achieved significant success but continue to be hampered by the slow sampling speed of their iterative sampling processes.
Jiachen Li, Weixi Feng, Tsu-Jui Fu, Xinyi Wang, Sugato Basu, Wenhu Chen, William Yang Wang   +6 more
semanticscholar   +1 more source

T2V-Turbo-v2: Enhancing Video Generation Model Post-Training through Data, Reward, and Conditional Guidance Design

arXiv.org
In this paper, we focus on enhancing a diffusion-based text-to-video (T2V) model during the post-training phase by distilling a highly capable consistency model from a pretrained T2V model.
Jiachen Li, Qian Long, Jian Zheng, Xiaofeng Gao, Robinson Piramuthu, Wenhu Chen, William Yang Wang   +6 more
semanticscholar   +1 more source

Cloud-Assisted Cooperative Localization for Vehicle Platoons: A Turbo Approach

IEEE Transactions on Signal Processing, 2020
Due to the high resolution of angles of arrivals (AoAs) provided by the massive MIMO base station in 5 G wireless systems, it is promising to integrate 5G-based localization technology into autonomous driving to improve the accuracy and robustness of ...
An Liu, Lixiang Lian, V. Lau, Guanying Liu, Min-Jian Zhao   +4 more
semanticscholar   +1 more source