An innovative traffic flow detection model based on temporal video frame analysis and grayscale aggregation quantification by Xin Liu, Qiao Meng, Xin Li, Zhijie Wang, Siyuan Kong, Bingyu Li

“…Additionally, the model improves computing resource efficiency by approximately 72.5% and demonstrates substantial real‐time detection capabilities.…”
Get full text

Visual Positioning Detection of EMU Brake Pad Based on Deep Learning by GUAN Chunling, XU Yingjie, SONG Yuechao

“…To address the issues of low efficiency, missed and false detections in the manual inspection of EMU (electric multiple unit) brake pads, it is necessary to study visual positioning detection methods for EMU brake pads. …”
Get full text

Proactive Scheduling and Routing of MRP-Based Production with Constrained Resources by Jarosław Wikarek, Paweł Sitek

“…The proposed innovation solution—the integration of MILP-based optimization with the proprietary PT (data transformation) and PR (model-size reduction) procedures—not only increases operational efficiency but also enables demand source tracking and offers a scalable and economical alternative for modern production environments. …”
Get full text

On-Chip Photonic Convolutional Processing Lights Up Fourier Neural Operator by Zilong Tao, Hao Ouyang, Qiuquan Yan, Shiyin Du, Hao Hao, Jun Zhang, Jie You

“…Fourier Neural Operators (FNOs) have gained increasing attention for their effectiveness in extracting frequencydomain features and efficiently approximating functions, making them wellsuited for classification tasks. …”
Get full text

Deploying AI on Edge: Advancement and Challenges in Edge Intelligence by Tianyu Wang, Jinyang Guo, Bowen Zhang, Ge Yang, Dong Li

“…Although edge intelligence methods have been proposed to alleviate the computational and storage burdens, they still face multiple persistent challenges, such as large-scale model deployment, poor interpretability, privacy and security vulnerabilities, and energy efficiency constraints. This article systematically reviews the current advancements in edge intelligence technologies, highlights key enabling techniques including model sparsity, quantization, knowledge distillation, neural architecture search, and federated learning, and explores their applications in industrial, automotive, healthcare, and consumer domains. …”
Get full text

Adaptive Lossy Color Image Compression System Based on Hybrid Algorithm by Husam Khalid Khammas, Ayça Kurnaz Türkben

“…To implement this proposed method three experiments were performed by using images of varying dimensions, namely (256 * 256), (512 * 512), and (1024 * 1024) and four different quantization coefficients. For efficiency performance measurement of the proposed system, three metrics were used: Peak signal-to-noise ratio (PSNR), Structural similarity index (SSIM), and compression ratio (CR). …”
Get full text

Incremental learning with SVM for multimodal classification of prostatic adenocarcinoma. by José Fernando García Molina, Lei Zheng, Metin Sertdemir, Dietmar J Dinter, Stefan Schönberg, Matthias Rädle

“…Furthermore, the system improves selection of information, efficiency and robustness of the classification. The generated probability map enables radiologists to have a lower variability in diagnosis, decrease false negative rates and reduce the time to recognize and delineate structures in the prostate.…”
Get full text

QP-Adaptive Dual-Path Residual Integrated Frequency Transformer for Data-Driven In-Loop Filter in VVC by Cheng-Hsuan Yeh, Chi-Ting Ni, Kuan-Yu Huang, Zheng-Wei Wu, Cheng-Pin Peng, Pei-Yin Chen

“…As AI-enabled embedded systems such as smart TVs and edge devices demand efficient video processing, Versatile Video Coding (VVC/H.266) becomes essential for bandwidth-constrained Multimedia Internet of Things (M-IoT) applications. …”
Get full text

Research progress in globular fruit picking recognition algorithm based on deep learning by LI Hui, ZHANG Jun, YU Shuochen, LI Zhixin

“…Meanwhile, the traditional manual picking method has become unable to meet the demand for fast and efficient picking. To solve the problem of labor shortage, the research and development of automated fruit picking equipment with integrated computer vision have become the key to solve the problem of labor shortage. …”
Get full text

YOLO-RWY: A Novel Runway Detection Model for Vision-Based Autonomous Landing of Fixed-Wing Unmanned Aerial Vehicles by Ye Li, Yu Xia, Guangji Zheng, Xiaoyang Guo, Qingfeng Li

“…Third, the neck structure is reorganized as a bidirectional feature pyramid network (BiFPN) module with skip connections and attention allocation, enabling efficient multi-scale and across-stage feature fusion. …”
Get full text

An autonomous vehicles’ test case extraction method: Example of vehicle-to-pedestrian scenarios by Zhengping Tan, Qian Wang, Wenhao Hu, Pingfei Li, Liangliang Shi, Hao Feng

“…Overall, the critical scenarios generated in this paper can significantly improve the testing efficiency and safety of AVs.…”
Get full text

Lightweight deep learning method for end-to-end point cloud registration by Linjun Jiang, Yue Liu, Zhiyuan Dong, Yinghao Li, Yusong Lin

“…Specifically, our approach utilizes pruning and weight-sharing quantization techniques to reduce model size and simplify the network structure. …”
Get full text

A Channel-Adaptive Range-Doppler Domain Filtering Serial BAQ Algorithm and Comparative Analysis by Tao Jiang, Fubo Zhang, Yi Xie, Chengwei Zhang, Longyong Chen, Yihao Xu, Haibo Tang

“…To address these issues, this paper introduces the Channel-Adaptive Range-Doppler domain filtering Serial Block Adaptive Quantization algorithm (CARDS-BAQ). By incorporating a point-frequency RD domain filtering approach and leveraging serial data matrix splicing and rollback combined with point-frequency ABAQ, CARDS-BAQ enables efficient data compression for arbitrary channel counts. …”
Get full text

CNN-Based Optimization for Fish Species Classification: Tackling Environmental Variability, Class Imbalance, and Real-Time Constraints by Amirhosein Mohammadisabet, Raza Hasan, Vishal Dattana, Salman Mahmood, Saqib Hussain

“…DenseNet121 achieved the highest accuracy (90.2%), leveraging its superior feature extraction and generalization capabilities, while MobileNetV2 balanced accuracy (83.57%) with computational efficiency, processing images in 0.07 s, making it ideal for real-time deployment. …”
Get full text

Trends and technologies of video coding by Jiantong ZHOU, Haitao YANG, Dong LIU, Xiang MA, Tian WANG

“…The current video coding uses block based hybrid architecture,which uses predictive,transform,quantization and entropy coding techniques to efficiently compress video signals.Further optimizations on current architectures provide more flexible processing and coding for local characteristics of video image signals.Video coding based on machine learning was expected to change the existing hybrid coding framework partially or comprehensively,and bring new research ideas to video coding.In addition to existing 2D video signal,the future of video also needs to spherical video coding and volumetric video coding for AR/VR applications,the new video source data format of the video encoding technology has brought new opportunities and challenges.…”
Get full text

Scalable FPGA Implementation of a Reliability-Based Direct Turbo Decoder for Short Block Codes by Senthil Murugan, Ramesh Bhakthavatchalu, Karthi Balasubramanian, B. Yamuna, Deepak Mishra, Sree Ranjani Rajendran

“…To address this, a Reliability-Based Compact Direct Decoder (RCODD) algorithm has been proposed as a non-iterative alternative that leverages encoder state information and demodulator reliability metrics for efficient decoding. This paper presents the first hardware implementation of the RCODD algorithm on an FPGA, featuring a serial architecture optimized for minimal memory usage and logic complexity. …”
Get full text

Ensemble Transformer–Based Detection of Fake and AI–Generated News by Md. Ishraquzzaman, Mohammed Ashraful Islam Chowdhury, Shahreen Rahman, Riasat Khan

“…The proposed ensemble model is optimized by applying model pruning (reducing parameters from 265M to 210M, improving training time by 25%) and dynamic quantization (reducing model size by 50%, maintaining 95.68% accuracy), enhancing scalability and efficiency while minimizing computational overhead. …”
Get full text

Automated Arrhythmia Classification System: Proof-of-Concept With Lightweight Model on an Ultra-Edge Device by Namho Kim, Seongjae Lee, Seungmin Kim, Sung-Min Park

“…The lightweight model was integrated into a wearable sensing device featuring a resource-constrained microcontroller unit. The efficiency of the lightweight model and edge-computing system was evaluated regarding arrhythmia classification performance and computational complexity. …”
Get full text

Silver-based plasmonic nanoparticles for biosensor organophosphate pesticides using a single film containing acetylcholinesterase/choline oxidase by D. Hermanto, N. Ismillayli, H. Muliasari, R. Wirawan, S.R. Kamali

“…BACKGROUND AND OBJECTIVES: To address the potential harm caused by the intensive use of pesticides in pest control in agriculture, there is a need for accurate and efficient methods to detect and monitor pesticide residues. …”
Get full text

Real-time fire and smoke detection system for diverse indoor and outdoor industrial environmental conditions using a vision-based transfer learning approach by Uttam U. Deshpande, Goh Kah Ong Michael, Sufola Das Chagas Silva Araujo, Sowmyashree H. Srinivasaiah, Harshel Malawade, Yash Kulkarni, Yash Desai

“…Further validation experiments on NVIDIA Jetson Orin Nano and Xavier NX platforms confirmed their effective real-time inference capabilities, making them suitable for deployment in safety-critical scenarios and enabling human-in-the-loop verification for efficient alert handling.…”
Get full text