Histopathological image based breast cancer diagnosis using deep learning and bio inspired optimization by Venkata Nagaraju Thatha, M. Ganesh Karthik, Venu Gopal Gaddam, D. Pramodh Krishna, S. Venkataramana, Kranthi Kumar Lella, Udayaraju Pamula

“…The proposed approach is evaluated on benchmark datasets (BreakHis and BACH), achieving a classification accuracy of 99.60%, surpassing existing state-of-the-art models. …”
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RMAvatar: Photorealistic human avatar reconstruction from monocular video based on rectified mesh-embedded Gaussians by Sen Peng, Weixing Xie, Zilong Wang, Xiaohu Guo, Zhonggui Chen, Baorong Yang, Xiao Dong

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Enhancing Software Effort Estimation in the Analogy-Based Approach Through the Combination of Regression Methods by Taghi Javdani Gandomani, Maedeh Dashti, Hazura Zulzalil, Abu Bakar Md Sultan

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Self-Organizing Neighbor Discovery and Ranging for Battery-Powered Ultra-Wideband Anchors by Davide Vecchia, Pablo Corbalan, Timofei Istomin, Gian Pietro Picco, Enrico Varriale

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High-performance sentiment classification of product reviews using GPU(parallel)-optimized ensembled methods by Annaluri Sreenivasa Rao, Yeruva Jaipal Reddy, Guggilam Navya, Neelima Gurrapu, Jala Jeevan, M. Sridhar, Desidi Narasimha Reddy, Siva Kumar Pathuri, Dama Anand

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Efficient-Proto-Caps: A Parameter-Efficient and Interpretable Capsule Network for Lung Nodule Characterization by Eduardo M. Rodrigues, Margarida Gouveia, Helder P. Oliveira, Tania Pereira

“…Deep learning techniques have demonstrated significant potential in computer-assisted diagnosis based on medical imaging. …”
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Deep‐Learning Based Causal Inference: A Feasibility Study Based on Three Years of Tectonic‐Climate Data From Moxa Geodynamic Observatory by Wasim Ahmad, Valentin Kasburg, Nina Kukowski, Maha Shadaydeh, Joachim Denzler

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CBCT-to-CT synthesis using a hybrid U-Net diffusion model based on transformers and information bottleneck theory by Can Hu, Ning Cao, Xiuhan Li, Yang He, Han Zhou

“…Abstract Cone-beam computed tomography (CBCT) scans are widely used for real time monitoring and patient positioning corrections in image-guided radiation therapy (IGRT), enhancing the precision of radiation treatment. …”
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A Control Theory Approach to Understanding the Dynamics of Cognitive Wellbeing by Ioan Susnea, Emilia Pecheanu, Adina Cocu, Paul Iacobescu, Cornelia Tudorie, Simona Susnea

“…Mediation analyses and path modeling were conducted to evaluate the feedback-based model of the interplay between these variables. (3) Results: The findings confirm a significant relationship between FLE and CWB (β = 0.62, <i>p</i> < 0.001). …”
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PMSFF: Improved Protein Binding Residues Prediction through Multi-Scale Sequence-Based Feature Fusion Strategy by Yuguang Li, Xiaofei Nan, Shoutao Zhang, Qinglei Zhou, Shuai Lu, Zhen Tian

“…We also collect benchmark datasets encompassing various PBRs types and evaluate our PMSFF approach to these datasets. Compared with state-of-the-art methods, PMSFF demonstrates superior performance on most PBRs prediction tasks.…”
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RT-DETR-Smoke: A Real-Time Transformer for Forest Smoke Detection by Zhong Wang, Lanfang Lei, Tong Li, Xian Zu, Peibei Shi

“…First, we designed a high-efficiency hybrid encoder that combines convolutional and Transformer features, thus reducing computational cost while preserving crucial smoke details. …”
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Real-Time Wave Energy Converter Control Using Instantaneous Frequency by Inyong Kim, Ted K. A. Brekken, Solomon Yim, Brian Johnson, Yue Cao, Pranav Chandran

“…Traditional hydrodynamic modeling techniques may require computationally intensive convolution calculations, making real-time control implementation challenging. …”
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A Flexible Constrained ICA Approach for Multisubject fMRI Analysis by Hanlu Yang, Trung Vu, Ehsan Ahmed Dhrubo, Vince D. Calhoun, Tülay Adali

“…To address these challenges, this paper introduces two novel constrained ICA methods, arc-EBM and minc-EBM, designed to overcome the computational complexity issue by incorporating prior information into the analysis framework. …”
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Governmental effectiveness in the transition to a circular economy: Dynamic DEA model by Svetlana V. Ratner, Andrey V. Lychev, Vladimir E. Krivonozhko, Svetlana A. Balashova

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Iterative Inversion of Normal and Lateral Resistivity Logs in Thin-Bedded Rock Formations of the Polish Carpathians by Michał Wilkosz

“…This research highlights the potential of modern computational techniques to enhance the utility of historical resistivity logging data in current studies.…”
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Efficient and Fast Light Field Compression via VAE-Based Spatial and Angular Disentanglement by Soheib Takhtardeshir, Roger Olsson, Christine Guillemot, Marten Sjostrom

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Voter Authentication Using Enhanced ResNet50 for Facial Recognition by Aminou Halidou, Daniel Georges Olle Olle, Arnaud Nguembang Fadja, Daramy Vandi Von Kallon, Tchana Ngninkeu Gil Thibault

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Conditional Generation of Building Bubble Diagrams Based on Stochastic Differential Equations by Zhiwen Wei, Joonki Lee, Hyeongmo Gu, Seungyeon Choo, Jaeil Kim

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Integrating Advanced Techniques: RFE-SVM Feature Engineering and Nelder-Mead Optimized XGBoost for Accurate Lung Cancer Prediction by Sarah Ayad, Hamdi A. Al-Jamimi, Ammar El Kheir

“…This research highlights the importance of advanced computational techniques in healthcare, paving the way for more personalized and effective patient care.…”
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The effect of implicit learning on functional connectivity in schizophrenia by Asli Ceren Hinc, Asli Ceren Hinc, Simay Selek, Ibrahim Sungur, Ibrahim Sungur, Kaan Keskin, Kaan Keskin, Furkan Yazici, Furkan Yazici, Mehmet Can Erata, Mehmet Can Erata, Yigit Erdogan, Alpaslan Yilmaz, Omer Kitis, Mehmet Cagdas Eker, Mehmet Cagdas Eker, Ali Saffet Gonul, Ali Saffet Gonul, Ali Saffet Gonul

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