Effect of Driver Energy Saving Awareness on Energy Consumption in a Microscopic Traffic Model by Zawar Hussain Khan, Faryal Ali, Thomas Aaron Gulliver, Ahmed B. Altamimi, Mohammad Alsaffar, Wilayat Khan

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Transformer and Convolutional Neural Network: A Hybrid Model for Multimodal Data in Multiclass Classification of Alzheimer’s Disease by Abdulaziz Alorf

“…Current classification methods for the six AD stages perform poorly in multiclass classification and are computationally expensive, which hinders their clinical use. …”
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Accelerating two-dimensional electronic spectroscopy simulations with a probe qubit protocol by José D. Guimarães, James Lim, Mikhail I. Vasilevskiy, Susana F. Huelga, Martin B. Plenio

“…The implementation of the PQP protocol requires only one additional ancilla qubit, the probe qubit, with one-to-all connectivity and two-qubit interactions between each system and probe qubits. We evaluate the computational resources necessary for this protocol in detail, demonstrating its function as a dynamic frequency-filtering method through numerical simulations. …”
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Water-based graphene oxide inks for inkjet-printed flexible moisture energy generators by Katerina Anagnostou, Massimo Urban, Evangelos Sotiropoulos, Christos Polyzoidis, Katerina Kavalieraki, Kyriakos Mouratis, Giulio Rosati, Arben Merkoçi, Konstantinos Rogdakis, Emmanuel Kymakis

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PVA: The Persistent Volume Autoscaler for Stateful Applications in Kubernetes by Ji-Hyun Na, Hyeon-Jin Yu, Hyeongbin Kang, Heeju Kang, Hee-Dong Lim, Jae-Hyuck Shin, Seo-Young Noh

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Fostering children’s creativity through LLM-driven storytelling with a social robot by Maha Elgarf, Hanan Salam, Christopher Peters

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Damped weighted erasable itemset mining with time sensitive dynamic environments by Hanju Kim, Myungha Cho, Seungwan Park, Doyoung Kim, Doyoon Kim, Unil Yun

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Optimization of Customer Feedback Summarization Using Large Language Models (LLM) and Advanced Retrieval-Augmented Generation by Buchepalli Praneeth, Mohana, Eshitha Chowdary Nattem, Kamala Jetti, B. K. Kavyashree, D. Rakshitha, P. Ramakanth Kumar, K. Sreelakshmi

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Simulations and active learning enable efficient identification of an experimentally-validated broad coronavirus inhibitor by Katarina Elez, Tim Hempel, Jonathan H. Shrimp, Nicole Moor, Lluís Raich, Cheila Rocha, Robin Winter, Tuan Le, Stefan Pöhlmann, Markus Hoffmann, Matthew D. Hall, Frank Noé

“…Large experimental screens are expensive and time-consuming, while virtual screening trades off computational efficiency and experimental correlation. …”
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Social Network Supported Process Recommender System by Yanming Ye, Jianwei Yin, Yueshen Xu

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A Multicast Algorithm for Wireless Sensor Networks Based on Network Coding by Zhi-jie Han, Ru-chuan Wang, Fu Xiao

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Comparison of Scattering from Electrically Large PEC and PMC Targets Coated with Uniaxial Dielectric Medium based on Asymptotic Solution in Spectral Domain by Maryam Samadpour Hendevari, Ali Pourziad, Saeid Nikmehr

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Optimized formulas of the gravitational field of a vertical cylindrical prism by Xiao-Le Deng, Nico Sneeuw, Dimitrios Tsoulis

“…By extending the cylindrical prism to a cylindrical shell, the analytical formulas of the GP, GV, and GGT of a cylindrical shell are derived when the computation point is located on the polar axis. Based on these analytical formulas, a cylindrical shell benchmark is put forward to evaluate the numerical properties of the cylindrical prism, that is to discrete a whole cylindrical shell into cylindrical prisms. …”
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Spatial attention-guided pre-trained networks for accurate identification of crop diseases by Satrughan Kumar, S. S. Aravinth, Sreedhar Kollem, Munish Kumar, Quadri Noorulhasan Naveed, Azath Mubarakali, Abhishek Bhattacherjee, Addisu Frinjo Emma

“…EfficientNet-B3 offers a strong foundation for feature extraction due to its compound scaling and efficient computation, while the spatial attention module improves classification accuracy by directing the model to focus on critical regions of diseased leaves. …”
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Fingerprint-based Wi-Fi indoor localization using map and inertial sensors by Xingwang Wang, Xiaohui Wei, Yuanyuan Liu, Kun Yang, Xuan Du

“…Finally, the proposed work is evaluated and compared with the previous Wi-Fi indoor localization systems. …”
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Implementing FFE-MLSD With Improved BER and Reduced Complexity for Long-Reach PAM4 Wireline Receivers by Hanseok Kim, Sihyun Lee, Piljun Jeong, Jaeha Kim, Woo-Seok Choi

“…In addition, to mitigate the MLSD complexity, Top-K selection approach is proposed to select only the most relevant K branches for MLSD computation using a pre-computed lookup table. The proposed architecture is synthesized and evaluated in a 28nm CMOS process and also implemented on the RealDigital RFSoC<inline-formula> <tex-math notation="LaTeX">$4\times 2$ </tex-math></inline-formula> FPGA board for demonstration. …”
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Model-informed deep-learning photoacoustic reconstruction for low-element linear array by Souradip Paul, S. Alex Lee, Shensheng Zhao, Yun-Sheng Chen

“…In particular, model-based deep learning combines physics-informed priors with neural networks to enhance reconstruction quality and reduce computational demands. However, model matrix inversion during adjoint transformations presents computational challenges in model-based deep learning. …”
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A lightweight remote sensing image detection model with feature aggregation diffusion network by Xiaohui Cheng, Xukun Wang, Yun Deng, Qiu Lu, Yanping Kang, Jian Tang, Yuanyuan Shi, Junyu Zhao

“…A dilation-wise residual module further optimizes multi-scale feature extraction. Evaluated on benchmark datasets, LightFAD-YOLO achieves 1.7 % higher mAP0.5 and 6.4 % improved mAP0.5:0.95 over baseline models, with 9.9 % lower computational load. …”
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Extended VGG16 Deep-Learning Detects COVID-19 from Chest CT Images by abolfazl karimiyan abdar, seyyed mostafa sadjadi, ali bashirgonbadi, mehran naghibi, Hamid Soltanian-Zadeh

“…In addition to clinical tests like Reverse Transcription-Polymerase Chain Reaction (RT-PCR), medical imaging techniques such as Computed Tomography (CT) can be used as a rapid technique to detect and evaluate patients infected by COVID-19. …”
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Quantum machine learning for corrosion resistance in stainless steel by Muhamad Akrom, Supriadi Rustad, Totok Sutojo, De Rosal Ignatius Moses Setiadi, Hermawan Kresno Dipojono, Ryo Maezono, Moses Solomon

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