Dynamic Text Augmentation for Robust Sentiment Analysis: Enhancing Model Performance With EDA and Multi-Channel CNN by Komang Wahyu Trisna, Jinjie Huang, Yuanjian Chen, I Gede Juliana Eka Putra

“…Experimental evaluations demonstrate the effectiveness of the proposed approach, highlighting significant improvements in F1-score compared to baseline models. …”
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A Road-Adaptive Vibration Reduction System with Fuzzy PI Control Approach for Electric Bicycles by Chao-Li Meng, Van-Tung Bui, Chyi-Ren Dow, Shun-Ming Chang, Yueh-E (Bonnie) Lu

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Energy Consumption Modeling and Flight Time Analysis of Micro Drones by Nusin Akram, Mina Khoshrangbaf, Moharram Challenger, Orhan Dagdeviren

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Agent Selection Framework for Federated Learning in Resource-Constrained Wireless Networks by Maria Raftopoulou, Jose Mairton B. da Silva, Remco Litjens, H. Vincent Poor, Piet van Mieghem

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NIR-RGB-M²Net: A Fusion Model for Precise Agricultural Field Segmentation Using Multisource Remote Sensing Data by Zhankui Tang, Xin Pan, Xiangfei She, Jian Zhao

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Automatic Detection of Tiny Drainage Outlets and Ventilations on Flat Rooftops from Aerial Imagery by L. Arzoumanidis, W. Li, W. Li, J. Knechtel, Y. Kosmayadi, Y. Dehbi

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Towards Effective Parkinson’s Monitoring: Movement Disorder Detection and Symptom Identification Using Wearable Inertial Sensors by Umar Khan, Qaiser Riaz, Mehdi Hussain, Muhammad Zeeshan, Björn Krüger

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Deep learning model for grading carcinoma with Gini-based feature selection and linear production-inspired feature fusion by Shreyan Kundu, Souradeep Mukhopadhyay, Rahul Talukdar, Dmitrii Kaplun, Alexander Voznesensky, Ram Sarkar

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A novel deep learning framework with artificial protozoa optimization-based adaptive environmental response for wind power prediction by Sangkeum Lee, Mohammad H. Almomani, Saleh Ali Alomari, Kashif Saleem, Aseel Smerat, Vaclav Snasel, Amir H. Gandomi, Laith Abualigah

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A Comprehensive Blockchain-Based System for Educational Qualifications Management and Verification to Counter Forgery by Said H. Said, Ramadhani S. Sinde, Efraim M. Kosia, Mussa A. Dida

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Unlocking transcranial FUS-EEG feature fusion for non-invasive sleep staging in next-gen clinical applications by Suneet Gupta, Praveen Gupta, Bechoo Lal, Aniruddha Deka, Hirakjyoti Sarma, Sheifali Gupta

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Detecting All-to-One Backdoor Attacks in Black-Box DNNs via Differential Robustness to Noise by Hao Fu, Prashanth Krishnamurthy, Siddharth Garg, Farshad Khorrami

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Unified wound diagnostic framework for wound segmentation and classification by Mustafa Alhababi, Gregory Auner, Hafiz Malik, Muteb Aljasem, Zaid Aldoulah

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Personalized Federated Learning with Progressive Local Training Strategy and Lightweight Classifier by Jianhao Liu, Wenjuan Gong, Ziyi Fang, Jordi Gonzàlez, Joel Rodrigues

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Tripartite Accounting Framework: A Novel Blockchain-Based Model for Recording B2B Transactions by Muhammad Imran Sarwar, Imran Khan, Louai A. Maghrabi, Arfan Jaffar, Sheeraz Akram

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An FPGA Prototype for Parkinson’s Disease Detection Using Machine Learning on Voice Signal by Mujeev Khan, Abdul Moiz, Gani Nawaz Khan, Mohd Wajid, Mohammed Usman, Jabir Ali

“…To enhance classification performance and reduce computational complexity, we evaluate three feature selection algorithms &#x2014; Chi-squared (<inline-formula> <tex-math notation="LaTeX">$\chi ^{2}$ </tex-math></inline-formula>), Minimum Redundancy Maximum Relevance (mRMR), and Analysis of Variance (ANOVA) &#x2014; and adopt an incremental feature selection approach, where each feature set increment is assessed across five classifiers: K-Nearest Neighbors (KNN), Decision Tree (DT), Artificial Neural Network (ANN), Logistic Regression (LR), and Support Vector Machine (SVM). …”
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Streamlining systematic reviews with large language models using prompt engineering and retrieval augmented generation by Fouad Trad, Ryan Yammine, Jana Charafeddine, Marlene Chakhtoura, Maya Rahme, Ghada El-Hajj Fuleihan, Ali Chehab

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Quantifying leaf symptoms of sorghum charcoal rot in images of field‐grown plants using deep neural networks by Emmanuel M. Gonzalez, Ariyan Zarei, Sebastian Calleja, Clay Christenson, Bruno Rozzi, Jeffrey Demieville, Jiahuai Hu, Andrea L. Eveland, Brian Dilkes, Kobus Barnard, Eric Lyons, Duke Pauli

“…Among the classification models evaluated, EfficientNet‐B3 demonstrated superior performance, achieving an accuracy of 86.97%, a recall rate of 0.71, and an F1 score of 0.73. …”
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Regression Test Suite Minimization Using Modified Artificial Ecosystem Optimization Algorithm by Abhishek Singh Verma, Ankur Choudhary, Shailesh Tiwari

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Enhanced Navigation Accuracy Using Nonlinear Kalman Filters in INS/GPS Integration by Mohammadreza Mollaei, Mohsen Shafieirad, Elahe Moradi

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