Prevention and Control of Blood Stream Infection Using the Balanced Scorecard Approach by Rinawati Rohsiswatmo, Sarah Rafika, Putri M.T Marsubrin

“… Aim: to obtain formulation of an effective and efficient strategy to overcome blood stream infection (BSI). …”
Get full text

Structural Characterization of Lignin and Its Degradation Products with Spectroscopic Methods by Yao Lu, Yong-Chao Lu, Hong-Qin Hu, Feng-Jin Xie, Xian-Yong Wei, Xing Fan

“…Spectroscopic techniques can provide qualitative and quantitative information on functional groups and linkages of constituents in lignin as well as the degradation products. …”
Get full text

Prevention and Control of Blood Stream Infection Using the Balanced Scorecard Approach by Rinawati Rohsiswatmo, Sarah Rafika, Putri M.T Marsubrin

“… Aim: to obtain formulation of an effective and efficient strategy to overcome blood stream infection (BSI). …”
Get full text

A Comparative Analysis of Compression and Transfer Learning Techniques in DeepFake Detection Models by Andreas Karathanasis, John Violos, Ioannis Kompatsiaris

“…Pruning, knowledge distillation, quantization, and adapter modules are explored to enable efficient real-time DeepFake detection. …”
Get full text

Pruning and optimization of optical neural network as a binary optical trigger by Bokun Zhao, Xuening Dong, Kaveh Rahbardar Mojaver, Brett H. Meyer, Odile Liboiron-Ladouceur

“…Optical neural networks implemented with Mach-Zehnder Interferometer (MZI) arrays are a promising solution to enable fast and energy-efficient machine learning inference, yet finding a practical application has proven challenging due to sensitivity to thermal noise and loss. …”
Get full text

High-Bit-Depth Geometry Representation and Compression in MPEG Immersive Video System by Yoonseob Lee, Kwan-Jung Oh, Gwangsoon Lee, Byung Tae Oh

“…Immersive video has been rapidly evolving as a new form of media for virtual reality (VR) applications, increasing demand for efficient compression and transmission techniques. …”
Get full text

Hardware Implementation of Block Floating-Point FFT Based on Approximate Computation and Conflict-Free Access by Xiaohui Zhang, Zenghui Yu, Shushan Qiao, Yi Zhan

“…Operating at a frequency of 671.14 MHz, it delivers a throughput of 1073.82 MS/s for 4096-point FFT computations, with a power consumption of only 110.85 mW and a Signal–to–Quantization Noise Ratio of 58.51 dB. Compared to state-of-the-art designs, this architecture achieves breakthrough improvements in throughput performance while maintaining competitive energy efficiency.…”
Get full text

RDM-YOLO: A Lightweight Multi-Scale Model for Real-Time Behavior Recognition of Fourth Instar Silkworms in Sericulture by Jinye Gao, Jun Sun, Xiaohong Wu, Chunxia Dai

“…Second, standard convolutional layers are replaced with distribution shifting convolution (DSConv), leveraging dynamic sparsity and quantization mechanisms to reduce computational complexity. …”
Get full text

High-Fold 3D Gaussian Splatting Model Pruning Method Assisted by Opacity by Shiyu Qiu, Chunlei Wu, Zhenghao Wan, Siyuan Tong

“…To address this, 3D Gaussian Splatting (3DGS) has emerged as an efficient alternative, utilizing Gaussian-based representations and rasterization techniques to achieve faster rendering speeds without sacrificing image quality. …”
Get full text

Engineering a multi model fallback system for edge devices by Gaurav Kadve, Abishi Chowdhury, Vishal Krishna Singh, Amrit Pal

“…The growing deployment of machine learning applications in edge environments, such as IoT devices and embedded systems, has highlighted the need for efficient, resource-aware systems for edge environments. …”
Get full text

FPG-AI RNN: A Technology-Agnostic Framework for the Automatic Acceleration of LSTM/GRU-Based Models on FPGAs by Tommaso Pacini, Pietro Nannipieri, Silvia Moranti, Luca Fanucci

“…FPGAs have emerged as an efficient technology for accelerating these algorithms, especially in resource- and power-constrained platforms such as edge devices. …”
Get full text

High-Performance and Lightweight AI Model with Integrated Self-Attention Layers for Soybean Pod Number Estimation by Qian Huang

“…<b>Methods:</b> To address these challenges, this study presents a set of lightweight, efficient AI models designed to overcome these limitations. …”
Get full text

A Digital Simulation Model of Broadband Phased Array RF System and Its Application by Jia Ding, Huaizong Shao, Jianxing Lv, Fake Ding

“…The model research and integrated simulation software construction of the broadband phased array RF system provide an efficient and accurate simulation tool for system design and optimization.…”
Get full text

Edge AI for Real-Time Anomaly Detection in Smart Homes by Manuel J. C. S. Reis, Carlos Serôdio

“…Optimization strategies such as quantization reduced LSTM-AE inference time by 76% and power consumption by 35%. …”
Get full text

Real-Time Acoustic Scene Recognition for Elderly Daily Routines Using Edge-Based Deep Learning by Hongyu Yang, Rou Dong, Rong Guo, Yonglin Che, Xiaolong Xie, Jianke Yang, Jiajin Zhang

“…This architecture provides an efficient, reliable, and user-friendly solution for real-time acoustic scene monitoring in elderly care.…”
Get full text

Optimizing encrypted search in the cloud using autoencoder-based query approximation by Mahmoud Mohamed, Khaled Alosman

“…However, encryption reduces search efficiency due to inability to directly compute on ciphertexts. …”
Get full text

A Comparative Study and Optimization of Camera-Based BEV Segmentation for Real-Time Autonomous Driving by Woomin Jun, Sungjin Lee

“…Notably, the lift–splat–shoot view transformation model with the InternImage-T encoder and EfficientNet-B0 decoder demonstrated performance of 53.1 mIoU while achieving high efficiency (51.7 ms and 159.5 MB, respectively). …”
Get full text

Pharmacovigilance processes in low- and middle-income countries: moving from data collection to data analysis and interpretation by Olga Menang, Peter van Eeuwijk, Karen Maigetter, Andy Stergachis, Christian Burri

“…Design: We used a convergent parallel mixed-methods study design consisting of qualitative and quantitative methods. Methods: Qualitative and quantitative methods consisted of semi-structured interviews and an online survey, respectively. …”
Get full text

Optimizing Semantic-Aware Video Compression Using Particle Swarm Optimization Technique for Automotive Applications by Vadivel Shanmugam, B. Uma Maheswari

“…This paper proposes a framework for semantic-aware video compression with reduced functional complexity and a proper flow for quantization parameter optimization. The optimized quantization factors used for encoding the region of interest and the region out of interest of the input video frame. …”
Get full text

Fast Backpropagation Neural Network for VQ-Image Compression by Basil Mahmood, Omaima AL-Allaf

“…<br />In this work, a three layered backpropagation neural network (BPNN) is designed to compress images using vector quantization technique (VQ).The results coming out from the hidden layer represent the codebook used in vector quantization, therefore this is a new method to generate VQ-codebook. …”
Get full text