Leveraging FastViT based knowledge distillation with EfficientNet-B0 for diabetic retinopathy severity classification by Jyotirmayee Rautaray, Ali B.M. Ali, Meenakshi Kandpal, Pranati Mishra, Rzgar Farooq Rashid, Farzona Alimova, Mohamed Kallel, Nadia Batool

“…This study presents FastEffNet, a novel framework that leverages transformer-based knowledge distillation (KD) to enhance DR severity classification while reducing computational complexity. The proposed approach employs FastViT-MA26 as the teacher model and EfficientNet-B0 as the student model, striking the ideal mix between accuracy and computational efficiency. …”
Get full text

Enhanced Skin Lesion Classification Using Deep Learning, Integrating with Sequential Data Analysis: A Multiclass Approach by Azmath Mubeen, Uma N. Dulhare

Get full text

A Method of Word Sense Disambiguation with Restricted Boltzmann Machine by ZHANG Chun-xiang, LI Hai-rui, GAO Xue-yao

Get full text

Research on frequency modulation of thermal power units combined with compressed air energy storage based on model predictive control by You Lv, Hao Sun, Bin Wu, Yijun Shi, Fang Fang

Get full text

A lightweight YOLO network using temporal features for high-resolution sonar segmentation by Sen Gao, Sen Gao, Wei Guo, Wei Guo, Gaofei Xu, Gaofei Xu, Ben Liu, Ben Liu, Yu Sun, Bo Yuan

“…The system processes non-keyframes by predicting semantic vectors through the trained BiLSTM model, selectively skipping computational layers to enhance efficiency. The model was trained and evaluated on a high-resolution sonar dataset collected using an AUV-mounted Oculus MD750d multibeam forward-looking sonar in two distinct underwater environments.ResultsImplementation on Nvidia Jetson TX2 demonstrated significant performance improvements. (1) Processing latency reduced to 87.4 ms (keyframes) and 35.3 ms (non-keyframes)(2)Maintained competitive segmentation accuracy compared to conventional methods and achieved low latency.DiscussionThe proposed architecture successfully addresses the speed-accuracy trade-off in sonar image segmentation through its innovative temporal feature utilization and computational skipping mechanism. …”
Get full text

Deep learning on routine full-breast mammograms enhances lymph node metastasis prediction in early breast cancer by Daqu Zhang, Looket Dihge, Pär-Ola Bendahl, Ida Arvidsson, Magnus Dustler, Julia Ellbrant, Kim Gulis, Malin Hjärtström, Mattias Ohlsson, Cornelia Rejmer, David Schmidt, Sophia Zackrisson, Patrik Edén, Lisa Rydén

Get full text

Machine learning-assisted early detection of keratoconus: a comparative analysis of corneal topography and biomechanical data by Arkadiusz Syta, Arkadiusz Podkowiński, Tomasz Chorągiewicz, Robert Karpiński, Jakub Gęca, Dominika Wróbel-Dudzińska, Katarzyna E Jonak, Dariusz Głuchowski, Marcin Maciejewski, Robert Rejdak, Kamil Jonak

Get full text

A Convolutional Neural Network With Time-Aware Channel Weighting for Temporal Knowledge Graph Completion by Kesheng Zhang, Guige Ouyang, Yongzhong Huang

Get full text

NUNS: A Nonuniform Network Split Method for Data-Centric Storage Sensor Networks by Ki-Young Lee, Hong-Koo Kang, In-Su Shin, Jeong-Joon Kim, Ki-Joon Han

Get full text

GIT-CXR: End-to-End Transformer for Chest X-Ray Report Generation by Iustin Sîrbu, Iulia-Renata Sîrbu, Jasmina Bogojeska, Traian Rebedea

Get full text

A Novel Discrete Time Series Representation With De Bruijn Graphs for Enhanced Forecasting Using TimesNet by Mert Onur Cakiroglu, Hasan Kurban, Elham Buxton, Mehmet Dalkilic

Get full text

Long-term temporal analysis of Sentinel-2 spectral reflectance data for post-earthquake monitoring of urban environment dynamics by Elisabetta Lamboglia, Giorgia Guerrisi, Stefania Bonafoni, Fabio Del Frate

Get full text

A Novel Statistical Approach to Obtain the Best Visibility Slice in MRI Sequence of Brain Tumors by Hassan Al-Yassin, Mohammed A. Fadhel, Omran Al-Shamma

“…A private dataset of twenty MRI scans (sequences) was used for testing and evaluating the system. …”
Get full text

KEXNet: A Knowledge-Enhanced Model for Improved Chest X-Ray Lesion Detection by Quan Yan, Junwen Duan, Jianxin Wang

Get full text

Machine learning-based prediction of speed of sound in fatty acid ethyl esters by Kusum Yadav, Shahad Almansour, Lulwah M. Alkwai, Anupam Yadav, Mehrdad Mottaghi

Get full text

A hybrid rule-based NLP and machine learning approach for PII detection and anonymization in financial documents by Kushagra Mishra, Harsh Pagare, Kanhaiya Sharma

Get full text

VID: Human identification through vein patterns captured from commodity depth cameras by Syed W. Shah, Salil S. Kanhere, Jin Zhang, Lina Yao

Get full text

Detection of flap malperfusion after microsurgical tissue reconstruction using hyperspectral imaging and machine learning by Marianne Maktabi, Benjamin Huber, Toni Pfeiffer, Torsten Schulz

Get full text

Optimized Demand Side Management for Refrigeration: Modeling and Case Study Insights from Kenya by Josephine Nakato Kakande, Godiana Hagile Philipo, Stefan Krauter

Get full text

Leakage Detection in Subway Tunnels Using 3D Point Cloud Data: Integrating Intensity and Geometric Features with XGBoost Classifier by Anyin Zhang, Junjun Huang, Zexin Sun, Juju Duan, Yuanai Zhang, Yueqian Shen

“…Comparative analysis further shows that XGBoost outperforms other classifiers, such as Random Forest, AdaBoost, LightGBM, and CatBoost, in terms of balance of accuracy and computational efficiency. Moreover, compared to deep learning models, including PointNet, PointNet++, and DGCNN, the proposed method demonstrates superior performance in both detection accuracy and computational efficiency.…”
Get full text