Risultati della ricerca - coding (algorithm OR (Algorithmssssic OR Algorithmssssic))

A Unified Model for Multi-Task Drone Routing in Post-Disaster Road Assessment di Gong, Huatian, Sheu, Jiuh-Biing, Wang, Zheng, Yang, Xiaoguang, Yan, Ran

Sommario: “... methods by 6-14%, heuristic algorithms by 22-42%, and commercial solvers by 24-82% in terms of solution...”
Testo

Learning Sparse Approximate Inverse Preconditioners for Conjugate Gradient Solvers on GPUs di Yang, Zherui, Li, Zhehao, Lyu, Kangbo, Li, Yixuan, Du, Tao, Liu, Ligang

Sommario: “... preconditioners rely on prescribed algorithms to offer rigorous theoretical guarantees, while limiting...”
Testo

PDA-LSTM: Knowledge-driven page data arrangement based on LSTM for LCM supression in QLC 3D NAND flash memories di Li, Qianhui, Wang, Weiya, Zhao, Qianqi, Qu, Tong, He, Jing, Qiang, Xuhong, Hou, Jingwen, Chen, Ke, Zhang, Bao, Wang, Qi

Sommario: “... density gap between cells, there are some algorithm in form of intra-page data mapping such as WBVM, DVDS...”
Testo

AGRAG: Advanced Graph-based Retrieval-Augmented Generation for LLMs di Wang, Yubo, Li, Haoyang, Teng, Fei, Chen, Lei

Sommario: “... this problem to be NP-hard, and propose a greedy algorithm to solve it. The MCMI subgraph generated can serve...”
Testo

INT-DTT+: Low-Complexity Data-Dependent Transforms for Video Coding di Fernández-Menduiña, Samuel, Pavez, Eduardo, Ortega, Antonio, Huang, Tsung-Wei, Canh, Thuong Nguyen, Su, Guan-Ming, Yin, Peng

Sommario: “... codecs for their balance between coding performance and computational efficiency. In contrast, data...”
Testo

Reward Engineering for Spatial Epidemic Simulations: A Reinforcement Learning Platform for Individual Behavioral Learning di Rakhshandehroo, Radman, Coombs, Daniel

Sommario: “..., ranging from sparse survival bonuses to a novel potential field approach, across multiple RL algorithms...”
Testo

Critical Path Aware Timing-Driven Global Placement for Large-Scale Heterogeneous FPGAs di Jiang, He, Guo, Yi, Guo, Shikai, Liu, Huijiang, Li, Xiaochen, Wang, Ning, Di, Zhixiong

Sommario: “... lightweight algorithm, enabling efficient and high-quality timing optimization. Regarding net-level timing...”
Testo

CFLight: Enhancing Safety with Traffic Signal Control through Counterfactual Learning di Li, Mingyuan, Liu, Chunyu, Li, Zhuojun, Liu, Xiao, Yu, Guangsheng, Du, Bo, Shen, Jun, Wu, Qiang

Sommario: “.... Our new algorithm, CFLight, which is derived from this framework, effectively tackles challenging...”
Testo

Error Mitigation of Fault-Tolerant Quantum Circuits with Soft Information di Zhou, Zeyuan, Pexton, Shaun, Kubica, Aleksander, Ding, Yongshan

Sommario: “... protocols. As a proof of principle, we benchmark our approach using a surface-code architecture and two...”
Testo

QuantumSavory: Write Symbolically, Run on Any Backend -- A Unified Simulation Toolkit for Quantum Computing and Networking di KimLee, Hana, Bacciottini, Leonardo, Bhatt, Abhishek, Kille, Andrew, Krastanov, Stefan

Sommario: “...-level noise and heterogeneous hardware, algorithmic structure, and distributed classical control. We...”
Testo

Taming the Memory Footprint Crisis: System Design for Production Diffusion LLM Serving di Fan, Jiakun, Zhang, Yanglin, Li, Xiangchen, Nikolopoulos, Dimitrios S.

Sommario: “... algorithmic sparsity into tangible wall-clock acceleration across heterogeneous hardware. The code...”
Testo

DeepGuard: Defending Deep Joint Source-Channel Coding Against Eavesdropping at Physical-Layer di Chi, Kaiyi, He, Yinghui, Yang, Qianqian, Shu, Yuanchao, Wang, Zhiqin, Luo, Jun, Chen, Jiming

Sommario: “...Deep joint source-channel coding (DeepJSCC) has emerged as a promising paradigm for efficient...”
Testo

Uncovering Patterns of Brain Activity from EEG Data Consistently Associated with Cybersickness Using Neural Network Interpretability Maps di Yau, Jacqueline, Mimnaugh, Katherine J., Center, Evan G., Ojala, Timo, LaValle, Steven M., Yuan, Wenzhen, Amato, Nancy, Kim, Minje, Federmeier, Kara D.

Sommario: “... in real time, machine learning algorithms which can extract meaningful signals from the rest of the brain...”
Testo

LibContinual: A Comprehensive Library towards Realistic Continual Learning di Li, Wenbin, Liu, Shangge, Kang, Borui, Chen, Yiyang, Lew, KaXuan, Chen, Yang, Shi, Yinghuan, Wang, Lei, Gao, Yang, Luo, Jiebo

Sommario: “..., LibContinual integrates 19 representative algorithms across five major methodological categories, providing a...”
Testo

SenseNova-MARS: Empowering Multimodal Agentic Reasoning and Search via Reinforcement Learning di Chng, Yong Xien, Hu, Tao, Tong, Wenwen, Li, Xueheng, Chen, Jiandong, Yu, Haojia, Lu, Jiefan, Guo, Hewei, Deng, Hanming, Xie, Chengjun, Huang, Gao, Lin, Dahua, Lu, Lewei

Sommario: “... Sequence Policy Optimization (BN-GSPO) algorithm to improve the training stability and advance the model...”
Testo

GRL-SNAM: Geometric Reinforcement Learning with Path Differential Hamiltonians for Simultaneous Navigation and Mapping in Unknown Environments di Ellendula, Aditya Sai, Wang, Yi, Nguyen, Minh, Bajaj, Chandrajit

Sommario: “... preemptive navigation algorithms and other reinforcement learning methods by relying exclusively on local...”
Testo

Self-Supervised Animal Identification for Long Videos di Fang, Xuyang, Hannuna, Sion, Simpson, Edwin, Campbell, Neill

Sommario: “... with the Hungarian algorithm for in-batch pseudo-label assignment, our method learns discriminative features without...”
Testo

SDCoNet: Saliency-Driven Multi-Task Collaborative Network for Remote Sensing Object Detection di Qi, Ruo, Dai, Linhui, Qin, Yusong, Yang, Chaolei, Li, Yanshan

Sommario: “... outperforms existing mainstream algorithms in small object detection on low-quality remote sensing images. Our...”
Testo

SPWOOD: Sparse Partial Weakly-Supervised Oriented Object Detection di Zhang, Wei, Liu, Xiang, Liu, Ningjing, Liu, Mingxin, Liao, Wei, Xu, Chunyan, Yang, Xue

Sommario: “... to prohibitively high costs. Based on the supervision level, existing oriented object detection algorithms can...”
Testo

Bridging Academia and Industry: A Comprehensive Benchmark for Attributed Graph Clustering di Liu, Yunhui, Qiu, Pengyu, Xing, Yu, Liu, Yongchao, Du, Peng, Hong, Chuntao, Zheng, Jiajun, Zheng, Tao, He, Tieke

Sommario: “... for a wide array of state-of-the-art AGC algorithms. Our benchmark curates 12 diverse datasets, ranging...”
Testo