Federated Knowledge Distillation With 3D Transformer Adaptation for Weakly Labeled Multi-Organ Medical Image Segmentation by Tareq Mahmod AlZubi, Hamza Mukhtar

“…The proposed methodology was evaluated on multi-organ CT datasets, including the BTCV benchmark, under centralized and federated settings. …”
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Ionotropic Gelation Synthesis of Chitosan-Alginate Nanodisks for Delivery System and In Vitro Assessment of Prostate Cancer Cytotoxicity by David Patiño-Ruiz, Leandro Marrugo, Niradiz Reyes, María Acevedo-Morantes, Adriana Herrera

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Trade-Space Exploration With Data Preprocessing and Machine Learning for Satellite Anomalies Reliability Classification by Abdul Mutholib, Nadirah Abdul Rahim, Teddy Surya Gunawan, Mira Kartiwi

“…Leveraging a Seradata dataset spanning 66 years and 4,455 satellite records, the framework systematically evaluates four data cleaning methods, four data transformation techniques, five normalization strategies, and seven machine learning algorithms across 480 configurations. …”
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PRCFX-DT: a new graph-based approach for feature selection and classification of genomic sequences by Amin Khodaei, Sania Eskandari, Hadi Sharifi, Behzad Mozaffari-Tazehkand

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Research of UAV 3D path planning based on improved Dwarf mongoose algorithm with multiple strategies by Lixin Mu, Wenhui Liu, Haocheng Wang, Yu Zhang

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An Energy-Efficient Small-Cell Operation Algorithm for Ultra-Dense Cellular Networks by MD. Mehedi Hasan, MD. Shayanul Haq, MD. Maruf Hossain, Junaed Kiron Tiash, Sungoh Kwon

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Bioethanol Production from Stalk Residues of Chiquere and Gebabe Varieties of Sweet Sorghum by Nitin Mahendra Chauhan, Sunil Tulshiram Hajare, Buzuayehu Mamo, Abreham Assefa Madebo

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Sunrise in the Desert: Leveraging Big Data Analytics for Predictive Solar Energy Production in Saudi Arabia by Da'ad Albahdal, Maha Almousa, Wijdan Aljebreen, Aeshah A. Almutairi

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Bridging Explainability and Security: An XAI-Enhanced Hybrid Deep Learning Framework for IoT Device Identification and Attack Detection by Prabhav Jain, Anshika Rathour, Aashima Sharma, Gurpal Singh Chhabra

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DOA Estimation by Feature Extraction Based on Parallel Deep Neural Networks and MRMR Feature Selection Algorithm by Ashwaq Neaman Hassan Al-Tameemi, Mahmood Mohassel Feghhi, Behzad Mozaffari Tazehkand

“…The performance of the proposed model is evaluated by conducting a wide range of experiments on uncorrelated narrowband data with different scenarios and based on the root mean square error (RMSE) coefficient. …”
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Design and Implementation of Efficient and Transparent Zero Copy Read by Jiwoong Park, Cheolgi Min, Heonyoung Yeom, Yongseok Son

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A Lightweight Neural Network for Denoising Wrapped-Phase Images Generated with Full-Field Optical Interferometry by Muhammad Awais, Younggue Kim, Taeil Yoon, Wonshik Choi, Byeongha Lee

“…Denoising such data is a fundamental problem in computer vision and plays a critical role in biomedical imaging modalities like Full-Field Optical Interferometry. …”
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CrowNet: Open Source Modeling and Simulation of Pedestrian-2-X and Crowd Networks by Stefan Schuhback, Christina Maria Mayr, Jorg Ott, Lars Wischhof

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Contextual information based anomaly detection for multi-scene aerial videos by Girisha S, Ujjwal Verma, Manohara M M. Pai, Radhika M. Pai

“…But manual analysis of these videos is tedious, subjective, and laborious. Hence, developing computer-aided systems for analyzing UAV-based surveillance videos is crucial. …”
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A novel intelligent fault diagnosis method for gearbox based on multi-dimensional attention denoising convolution by Wei Liu, Zeqiao Zhang, Zhiwei Ye, Qiyi He

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ADMNet: adaptive deformable convolution large model combining multi-level progressive fusion for Building Change Detection by Liye Mei, Haonan Yu, Zhaoyi Ye, Chuan Xu, Cheng Lei, Wei Yang

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Deep ensemble learning with transformer models for enhanced Alzheimer’s disease detection by Shiza Latif, Naeem Ul Islam, Zaki Uddin, Khalid Mehmood Cheema, Syed Sohail Ahmed, Muhammad Farhan Khan

“…The proposed model is trained on a corpus of clinical notes from patients with AD and healthy control subjects. Evaluated on the Cookie Theft subset of the DementiaBank Pitt Corpus, our ensemble achieves 94.98% accuracy, 0.9523 F1-score, and 0.93 AUC. …”
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Detection of Violent Scenes in Cartoon Movies Using a Deep Learning Approach by Noreen Fayyaz Khan, Sareer Ul Amin, Zahoor Jan, Changhui Yan

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Exponential Backoff and Its Security Implications for Safety-Critical OT Protocols over TCP/IP Networks by Matthew Boeding, Paul Scalise, Michael Hempel, Hamid Sharif, Juan Lopez

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Chasing in virtual environment:Dynamic alignment for multi-user collaborative redirected walking by Tianyang Dong, Shuqian Lv, Hubin Kong, Huanbo Zhang

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