RobustDeiT: Noise-Robust Vision Transformers for Medical Image Classification by Mehdi Taassori

Get full text

An SLA-based resource scheduling method in hybrid cloud environment by UXiaofeng XU, Jinsong XU

Get full text

Enhanced Vector Quantization for Embedded Machine Learning: A Post-Training Approach With Incremental Clustering by Thommas K. S. Flores, Morsinaldo Medeiros, Marianne Silva, Daniel G. Costa, Ivanovitch Silva

“…TinyML enables the deployment of Machine Learning (ML) models on resource-constrained devices, addressing a growing need for efficient, low-power AI solutions. However, significant challenges remain due to strict memory, processing, and energy limitations. …”
Get full text

Efficient hardware implementation of interpretable machine learning based on deep neural network representations for sensor data processing by J. Schauer, P. Goodarzi, A. Schütze, T. Schneider

“…This representation retains the interpretability but allows efficient implementation on hardware to process the acquired data directly on the sensor node. …”
Get full text

KronNet a lightweight Kronecker enhanced feed forward neural network for efficient IoT intrusion detection by Saeed Ullah, Junsheng Wu, Mian Muhammad Kamal, Abdul Khader Jilani Saudagar

“…Abstract The rapid expansion of Internet of Things (IoT) networks necessitates efficient intrusion detection systems (IDS) capable of operating within the stringent resource constraints of IoT devices. …”
Get full text

FPGA Acceleration With Hessian-Based Comprehensive Intra-Layer Mixed-Precision Quantization for Transformer Models by Woohong Byun, Jongseok Woo, Saibal Mukhopadhyay

“…Our concurrent quantization method balances the benefits of row-wise weight quantization and Query-Key coupled activation quantization while maximizing energy efficiency through multi-precision optimization. …”
Get full text

Knowledge- and Model-Driven Deep Reinforcement Learning for Efficient Federated Edge Learning: Single- and Multi-Agent Frameworks by Yangchen Li, Lingzhi Zhao, Tianle Wang, Lianghui Ding, Feng Yang

“…In this paper, we investigate federated learning (FL) efficiency improvement in practical edge computing systems, where edge workers have non-independent and identically distributed (non-IID) local data, as well as dynamic and heterogeneous computing and communication capabilities. …”
Get full text

GENERATING OF OPTIMAL QUANTIZATION LEVELS OF CONTROL CURRENTS FOR LINEAR STEPPING DRIVES OF PRECISION MOTION SYSTEMS by I. V. Dainiak, V. P. Oger, D. S. Tsitko, D. G. Begun

“…The investigations have proved an efficiency of the proposed algorithm and methodology for forming coordinate discrete grid.…”
Get full text

Generation of Phase-Only Fourier Hologram Based on Double Phase Method and Quantization Error Analysis by Yang Wu, Jun Wang, Chun Chen, Chan-Juan Liu, Feng-Ming Jin, Yu-Hen Hu

“…The double phase method is an efficient way to generate phase-only holograms with high reconstruction quality due to no addition of a random phase. …”
Get full text

Optimising TinyML with quantization and distillation of transformer and mamba models for indoor localisation on edge devices by Thanaphon Suwannaphong, Ferdian Jovan, Ian Craddock, Ryan McConville

“…Abstract This paper proposes small and efficient machine learning models (TinyML) for resource-constrained edge devices, specifically for on-device indoor localisation. …”
Get full text

An efficient gradient-based algorithm with descent direction for unconstrained optimization with applications to image restoration and robotic motion control by Sulaiman Mohammed Ibrahim, Aliyu M. Awwal, Maulana Malik, Ruzelan Khalid, Aida Mauziah Benjamin, Mohd Kamal Mohd Nawawi, Elissa Nadia Madi

Get full text

QDLTrans: Enhancing English Neural Machine Translation With Quantized Attention Block and Tunable Dual Learning by Xing Liu

“…Specifically, our method outperforms existing approaches in both translation quality and efficiency, offering a balanced solution for enhancing NMT in low-resource settings.…”
Get full text

Enabling Flexible Link Capacity for eCPRI-Based Fronthaul With Load-Adaptive Quantization Resolution by Longsheng Li, Meihua Bi, Haiyun Xin, Yunhao Zhang, Yan Fu, Xin Miao, Ahmed Mohanmmed Mikaeil, Weisheng Hu

“…Bandwidth-efficient 5G optical fronthaul interfaces, such as the Ethernet-based common public radio interface (eCPRI), with novel low layer split (LLS) are being actively investigated. …”
Get full text

Enhancing DBSCAN Accuracy and Computational Efficiency Using Closest Access Point Pre-Clustering for Fingerprint-Based Localization by Abdulmalik Shehu Yaro, Filip Maly, Pavel Prazak

Get full text

Augmentation of Nitrogen Removal Efficiency of Aerobic Denitrifying Bacterial Communities by Inorganic Electron Donors via Enclosure Experiments by JIA Junjie, YAN Cihang, HUANG Tinglin, XING Zhenyan, GONG Hui

Get full text

Efficient merging and validation of deep learning-based nuclei segmentations in H&E slides from multiple models by Jagadheshwar Balan, Shannon K. McDonnell, Zachary Fogarty, Nicholas B. Larson

Get full text

A Remarkably Efficient Phase-Transfer Catalyzed Amination of α-Bromo-α, β-Unsaturated Ketones in Water by Alemayehu Mekonnen, Alemu Tesfaye

Get full text

The Influence of Activity-Based Costing and Just-in-Time on Efficiency Cost Production with Company Size as a Moderation Variable by Fri Medistya Anke Priyono

“… Study This aiming for test the influence of Activity Based Costing (ABC) and Just in Time (JIT) on Efficiency Cost Production (EBP) with Company Size as variable moderation. …”
Get full text

Multifactorial criterion evaluation of lubrication efficiency and wear resistance of friction units operating under extreme operating conditions by O. Milanenko, A. Bobro

Get full text

Impact of Input Image Resolution on Deep Learning Performance for Side-Scan Sonar Classification: An Accuracy–Efficiency Analysis by Xing Du, Yongfu Sun, Yupeng Song, Wanqing Chi, Lifeng Dong, Xiaolong Zhao

“…This study systematically investigates and quantifies this accuracy–efficiency trade-off in SSS image classification by varying input resolution. …”
Get full text