Suchergebnisse - "Memory efficient"

Developing a memory-efficient GPGPU-parallelized contact detection algorithm for 3D engineering-scale FDEM simulations von Lei, Yiming, Liu, Quansheng, Liu, He

“… Despite FDEM’s superior advantages in modeling solid deformation and fracturing behaviors for engineering-scale analysis, it has been restricted to …”
Volltext

FAT-Net: Feature adaptive transformers for automated skin lesion segmentation von Wu, Huisi, Chen, Shihuai, Chen, Guilian, Wang, Wei, Lei, Baiying, Wen, Zhenkun

“… •A novel feature adaptive transformers network (FAT-Net) for automated skin lesion segmentation.•A dual encoder with CNNs and Transformers to effectively …”
Volltext

rMVP: A Memory-efficient, Visualization-enhanced, and Parallel-accelerated Tool for Genome-wide Association Study von Yin, Lilin, Zhang, Haohao, Tang, Zhenshuang, Xu, Jingya, Yin, Dong, Zhang, Zhiwu, Yuan, Xiaohui, Zhu, Mengjin, Zhao, Shuhong, Li, Xinyun, Liu, Xiaolei

“… Along with the development of high-throughput sequencing technologies, both sample size and SNP number are increasing rapidly in genome-wide association …”
Volltext

Identification and recognition of rice diseases and pests using convolutional neural networks von Rahman, Chowdhury R., Arko, Preetom S., Ali, Mohammed E., Iqbal Khan, Mohammad A., Apon, Sajid H., Nowrin, Farzana, Wasif, Abu

“… Accurate and timely detection of diseases and pests in rice plants can help farmers in applying timely treatment on the plants and thereby can reduce the …”
Volltext

Memory-Efficient Class-Incremental Learning for Image Classification von Zhao, Hanbin, Wang, Hui, Fu, Yongjian, Wu, Fei, Li, Xi

“… With the memory-resource-limited constraints, class-incremental learning (CIL) usually suffers from the "catastrophic forgetting" problem when updating the …”
Volltext

Optimized reconstruction of undersampled Dixon sequences using new memory‐efficient unrolled deep neural networks: HalfVarNet and HalfDIRCN von Martin, Sandra, Trabelsi, Amira, Guye, Maxime, Dubois, Marc, Abdeddaim, Redha, Bendahan, David, André, Rémi

“… Purpose Fat fraction (FF) quantification in individual muscles using quantitative MRI is of major importance for monitoring disease progression and assessing …”
Volltext

BRIDGE: A memory-efficient blockchain-agnostic layer for chain topology representation in heterogeneous architectures von Pungilă, Ciprian, Muntean, Otilia, Tonu, Andreea-Rebeca

“… Blockchains today come in various shapes and forms and continue to grow considerably in size. This poses significant challenges for data processing, not only …”
Volltext

GMiner++: Boosting GPU-based frequent itemset mining by reducing redundant computations von Chon, Kang-Wook, Kim, Chanki

“… Frequent itemset mining (FIM) is increasingly important in fundamental data mining techniques. However, the applicability of existing FIM methods is limited, …”
Volltext

Improving long-term autoregressive spatiotemporal predictions: A proof of concept with fluid dynamics von Zhou, Hao, Cheng, Sibo

“… Data-driven approaches have emerged as a powerful alternative to traditional numerical methods for forecasting physical systems, offering fast inference and …”
Volltext

ExtendedSketch+: Super host identification and network host trust evaluation with memory efficiency and high accuracy von Han, Hui, Jing, Xuyang, Yan, Zheng, Pedrycz, Witold

“… Host cardinality estimation is one crucial task in network traffic measurement. Super host is the host that exhibits anomalies in host cardinality and it is …”
Volltext

HyCTAS: Multi-objective hybrid convolution-transformer architecture search for real-time image segmentation von Yu, Hongyuan, Wan, Cheng, Dai, Xiyang, Liu, Mengchen, Chen, Dongdong, Xiao, Bin, Huang, Yan, Lu, Yuan, Wang, Liang

“… Real-time image segmentation demands architectures that preserve fine spatial detail while capturing global context under tight latency and memory budgets …”
Volltext

ML-PINN: A memory-efficient physics-informed Mamba-LSTM network for fast and accurate PDE solving von Gao, YiMing, Wang, Bing, Lu, Jingyi, Tian, Zhou

“… Physics-informed neural networks (PINNs) have emerged as a novel PDE solver and demonstrated significant potential. However, most existing models struggle to …”
Volltext

Mettle: Meta-Token Learning for Memory-Efficient Audio-Visual Adaptation von Zhou, Jinxing, Li, Zhihui, Yu, Yongqiang, Zhou, Yanghao, Guo, Ruohao, Li, Guangyao, Mao, Yuxin, Han, Mingfei, Chang, Xiaojun, Wang, Meng

“… Mainstream research in audio-visual learning has focused on designing task-specific expert models, primarily implemented through sophisticated multimodal …”
Volltext

Do we really need a large number of visual prompts? von Kim, Youngeun, Li, Yuhang, Moitra, Abhishek, Yin, Ruokai, Panda, Priyadarshini

“… Due to increasing interest in adapting models on resource-constrained edges, parameter-efficient transfer learning has been widely explored. Among various …”
Volltext

Targeted Vaccine: Safety Alignment for Large Language Models Against Harmful Fine-Tuning via Layer-Wise Perturbation von Liu, Guozhi, Lin, Weiwei, Mu, Qi, Huang, Tiansheng, Mo, Ruichao, Tao, Yuren, Shen, Li

“… Harmful fine-tuning attack poses a serious threat to the online fine-tuning service. Vaccine, a recent alignment-stage defense, applies uniform perturbation to …”
Volltext

Memory-efficient transformer network with feature fusion for breast tumor segmentation and classification task von Iqbal, Ahmed, Sharif, Muhammad

Volltext

A 334 - \mu \text 0.158 - \text^2 ASIC for Post-Quantum Key-Encapsulation Mechanism Saber With Low-Latency Striding Toom-Cook Multiplication von Ghosh, Archisman, Mera, Jose Maria Bermudo, Karmakar, Angshuman, Das, Debayan, Ghosh, Santosh, Verbauwhede, Ingrid, Sen, Shreyas

“… Lattice-based cryptography is a novel approach to public key cryptography (PKC), of which the mathematical investigation (so far) resists attacks from quantum …”
Volltext

Tree sketch: An accurate and memory-efficient sketch for network-wide measurement von Liu, Lei, Ding, Tong, Feng, Hui, Yan, Zhongmin, Lu, Xudong

Volltext

Memory-Efficient Intrinsic Gating Adaptation for Enhanced On-Device Epilepsy Diagnosis von Li, Shanjin, Wu, Di, Zhao, Shiqi, Yang, Jie, Sawan, Mohamad

“… Recently, advances in neuroscience and the rise of artificial intelligence have significantly enhanced the capabilities of epilepsy diagnosis. While EEG-based …”
Volltext

GPUTucker: Large-Scale GPU-Based Tucker Decomposition Using Tensor Partitioning von Lee, Jihye, Han, Donghyoung, Kwon, Oh-Kyoung, Chon, Kang-Wook, Kim, Min-Soo

“… Tucker decomposition is used extensively for modeling multi-dimensional data represented as tensors. Owing to the increasing magnitude of nonzero values in …”
Volltext