Atrous Convolution-Based Fusion Attention Mechanism for Brain Tumor Segmentation by Abhishek Jadhav, Akhtar Rasool, Manasi Gyanchandani

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Advanced Supply Chain Management Using Adaptive Serial Cascaded Autoencoder with LSTM and Multi-Layered Perceptron Framework by Aniruddha Deka, Parag Jyoti Das, Manob Jyoti Saikia

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Revisiting Information Cascades in Online Social Networks by Michael Sidorov, Ofer Hadar, Dan Vilenchik

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Tabular Data Classification and Regression: XGBoost or Deep Learning With Retrieval-Augmented Generation by Jonindo Pasaribu, Novanto Yudistira, Wayan Firdaus Mahmudy

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MultiChem: predicting chemical properties using multi-view graph attention network by Heesang Moon, Mina Rho

“…However, exploring the vast chemical space is time-consuming and costly, necessitating the development of time-efficient and cost-effective computational methods. Recent advances in deep learning approaches have offered deeper insights into molecular structures. …”
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Adapting security and decentralized knowledge enhancement in federated learning using blockchain technology: literature review by Menna Mamdouh Orabi, Osama Emam, Hanan Fahmy

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Hybrid Optimization Algorithm for Solving Attack-Response Optimization and Engineering Design Problems by Ahmad K. Al Hwaitat, Hussam N. Fakhouri, Jamal Zraqou, Najem Sirhan

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Improving Weather Forecasting in Remote Regions Through Machine Learning by Kaushlendra Yadav, Saket Malviya, Arvind Kumar Tiwari

“…The hypothesis of this paper contends that with sufficient training on diverse datasets, ML can provide a significant predictive advantage, serving as a testament to the ingenuity of modern computational methods in confronting real-world challenges. …”
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Multimodal Deep Learning for Cardiovascular Risk Stratification: Integrating Retinal Biomarkers and Cardiovascular Signals for Enhanced Heart Attack Prediction by K. Sathya, G. Magesh

“…Clinically interpretable biomarkers that combine high computational efficiency (inference time <inline-formula> <tex-math notation="LaTeX">$\approx \; 37$ </tex-math></inline-formula> ms) affirm its design for real-world deployment in preventive cardiovascular screening processes.…”
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Graph-Based Semi-Supervised Learning with Bipartite Graph for Large-Scale Data and Prediction of Unseen Data by Mohammad Alemi, Alireza Bosaghzadeh, Fadi Dornaika

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Spatial Position Reasoning of Image Entities Based on Location Words by Xingguo Qin, Ya Zhou, Jun Li

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StyleGraph: A Heterogeneous Graph Neural Framework for Stylistic and Semantic Rumor Detection on Social Media by Haider Jaffar, Ali Mohades, Mohammad Ebrahim Shiri

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Consistent, highly throughput and space scalable distributed architecture for layered NoSQL data store by Adam Krechowicz, Stanisław Deniziak, Grzegorz Łukawski

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The Effect of Temperature on Intestinal Flora Imbalance Based on Time Series Prediction Model by Jing Zhu, Yafei Xue, Shuyuan Yang

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Deep reinforced traffic-aware CPU allocation in centralized RAN by Sanguk Jeong, Syed M. Raza, Huigyu Yang, Sukjae Lee, Min Young Chung, Moonseong Kim, Hyunseung Choo

“…The impact of DRCA scheme is evaluated using network environment and state indicators from an industry-grade simulator and an open-source dataset. …”
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The Bright Feature Transform for Prominent Point Scatterer Detection and Tone Mapping by Gregory D. Vetaw, Suren Jayasuriya

“…The BFT is analytic, computationally inexpensive, and requires no thresholding or parameter tuning. …”
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Capacity Management as a Service for Enterprise Standard Software by Hendrik Müller, Sascha Bosse, Klaus Turowski

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Enhanced CO₂ Emissions Prediction Using Temporal Fusion Transformer Optimized by Football Optimization Algorithm by Amel Ali Alhussan, Marwa Metwally

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Multistage Threshold Segmentation Method Based on Improved Electric Eel Foraging Optimization by Yunlong Hu, Liangkuan Zhu, Hongyang Zhao

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Towards a minimum universal features set for IoT DDoS attack detection by Osama Ebrahem, Salah Dowaji, Suhel Alhammoud

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