Cross-modality fusion with EEG and text for enhanced emotion detection in English writing by Jing Wang, Ci Zhang

“…IntroductionEmotion detection in written text is critical for applications in human-computer interaction, affective computing, and personalized content recommendation. …”
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scCompass: An Integrated Multi‐Species scRNA‐seq Database for AI‐Ready by Pengfei Wang, Wenhao Liu, Jiajia Wang, Yana Liu, Pengjiang Li, Ping Xu, Wentao Cui, Ran Zhang, Qingqing Long, Zhilong Hu, Chen Fang, Jingxi Dong, Chunyang Zhang, Yan Chen, Chengrui Wang, Guole Liu, Hanyu Xie, Yiyang Zhang, Meng Xiao, Shubai Chen, Haiping Jiang, The X‐Compass Consortium, Yiqiang Chen, Ge Yang, Shihua Zhang, Zhen Meng, Xuezhi Wang, Guihai Feng, Xin Li, Yuanchun Zhou

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Characterization of antibiotic resistance genes in soils from agroecosystems of the Brazilian Amazon by Taynara Cristina Santos Tavares, Lívia Freitas da Silva Pinto, Oscar Victor Cardenas-Alegria, Carlos William Dias Dantas, Sandro Patroca da Silva, Ana Cecília Ribeiro Cruz, Aníbal Coutinho do Rêgo, Hervé Louis Ghislain Rogez, Rommel Thiago Juca Ramos, Cristian Faturi, Adriana Ribeiro Carneiro Nunes

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RGB and RGNIR image dataset for machine learning in plastic waste detectionZENODO by Owen Tamin, Ervin Gubin Moung, Jamal Ahmad Dargham, Samsul Ariffin Abdul Karim, Ashraf Osman Ibrahim, Nada Adam, Hadia Abdelgader Osman

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An In-Depth Comparative Study of Quantum-Classical Encoding Methods for Network Intrusion Detection by Adam Kadi, Aymene Selamnia, Zakaria Abou El Houda, Hajar Moudoud, Bouziane Brik, Lyes Khoukhi

“…Quantum Machine Learning (QML) seamlessly integrates the computational power of quantum computing with the adaptability of machine learning, offering an innovative approach to solving intricate and high-dimensional challenges. …”
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Resting-State Functional MRI Reveals Altered Seed-Based Connectivity in Diabetic Osteoporosis Patients by Li J, Liu M, Qin J, An Y, Zheng X, Mohamad NS, Ramli I

“…These alterations correlated with deficits in visual processing, working memory, and executive function.Conclusion: Distinct FC reorganization in DOP patients reflects synergistic effects of metabolic and skeletal pathologies on neural networks, potentially mediating cognitive decline through visual pathway disruption and prefrontal-default mode network decoupling. …”
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Fed-Hetero: A Self-Evaluating Federated Learning Framework for Data Heterogeneity by Aiswariya Milan Kummaya, Amudha Joseph, Kumar Rajamani, George Ghinea

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Identifying and forecasting importation and asymptomatic spreaders of multi-drug resistant organisms in hospital settings by Jiaming Cui, Jack Heavey, Eili Klein, Gregory R. Madden, Costi D. Sifri, Anil Vullikanti, B. Aditya Prakash

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Quaternion generative adversarial -driven Soc estimation using Tyrannosaurus optimizer for improving hybrid electric vehicles renewably powered energy management by M. Sivaramkrishnan, Jaganathan Subramani, Mohammad Mukhtar Alam, Liew Tze Hui

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Pattern recognition in SARS cases: insights from t-SNE and k-means clustering applied to COVID-19 symptomatology by Julliana Gonçalves Marques, Bruno Motta de Carvalho, Luiz Affonso Guedes, Márjory Da Costa-Abreu

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Tailoring adversarial attacks on deep neural networks for targeted class manipulation using DeepFool algorithm by S. M. Fazle Rabby Labib, Joyanta Jyoti Mondal, Meem Arafat Manab, Xi Xiao, Sarfaraz Newaz

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Applying the Block-Based Programming Language ALICE for Developing Programming Competencies in University Students by Mariuxi Vinueza-Morales, Jesennia Cardenas-Cobo, Jessica Cabezas-Quinto, Cristian Vidal-Silva

“…The results obtained highlight the effectiveness of the ALICE environment in supporting the programming learning process for first-level Software Engineering university students.…”
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GlauSeg-Net: Retinal Fundus Medical Image Automatic Segmentation With Multi-Task Learning for Glaucoma Early Screening by Shuting Chen, Dezhi Wei, Chengxi Hong, Li Li, Xiuliang Qiu, Hong Jia

“…Traditionally, glaucoma is diagnosed by examining structural changes in these images, but this process heavily relies on the subjective judgment of clinicians, which can lead to errors. …”
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A Dynamic Equilibrium Mechanism of Core Layer Interests in the Mobile Medical Platform Ecosystem by Zheng Shenghua, Hakam Bader, Chen Jue

“…In recent years, with the development of the mobile Internet, big data, and cloud computing, the mobile medical platforms such as Ding Xiang Yuan aggregating platform ecological resources have played an irreplaceable role in improving efficiency, optimizing resource allocation, and even promoting the transformation and upgrading of the medical industry. …”
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Reconfigurable artificial neuron and synapse enabled through a single alloyed memristor by Elias Passerini, Mila Lewerenz, Arnaud Schneuwly, Nadia Jimenez Olalla, Markus Fischer, Raphael Gisler, Luiz Felipe Aguinsky, Alexandros Emboras, Yuriy Fedoryshyn, Mathieu Luisier, Thomas Schimmel, Miklós Csontos, Ueli Koch, Juerg Leuthold

“…Abstract Memristive devices have drawn significant interest due to their use in novel paradigms such as neuromorphic computing. Neuromorphic systems are developed by implementing artificial neurons and synapses on a hardware level. …”
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Development Trend of Information Technology and AdvancedNuclear Power Generation by Tao ZHOU, Haolei ZHANG, Yao YAO, Chunmei LIU

“…Artificial intelligence machine data capture and neural networks learn to process and apply information more precisely. [Conclusion] Informationization is also a new quality productivity revolution, and information technology promotes the progress of nuclear power generation technology to intelligent development. …”
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NNG-Based Secure Approximate k-Nearest Neighbor Query for Large Language Models by Heng Zhou, Yuchao Wang, Yi Qiao, Jin Huang

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Beyond 200-Gb/s PAM4 ADC and DAC-Based Transceiver for Wireline and Linear Optics Applications by Ahmad Khairi, Amir Laufer, Ilia Radashkevich, Yoel Krupnik, Jihwan Kim, Tali Warshavsky Grafi, Ajay Balankutty, Yaniv Sabag, Yoav Segal, Udi Virobnik, Mike Peng Li, Itamar Levin, Yosef Ben Ezra, Ariel Cohen

“…We showcase the silicon results of a transceiver designed in the advanced 3-nm CMOS process, which supports long-reach channels with up to 40 dB of loss at Nyquist. …”
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ICON ComIn – the ICON Community Interface (ComIn version 0.1.0, with ICON version 2024.01-01) by K. Hartung, B. Kern, N.-A. Dreier, J. Geisbüsch, M. Haghighatnasab, P. Jöckel, A. Kerkweg, W. J. Loch, F. Prill, D. Rieger

“…The extensive documentation and a variety of test and example plugins are results of this process.</p> <p>This paper motivates the underlying design principles and provides some concrete reasoning for their selection. …”
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High-Resolution Safety Verification for Evasive Obstacle Avoidance in Autonomous Vehicles by Aliasghar Arab, Milad Khaleghi, Alireza Partovi, Alireza Abbaspour, Chaitanya Shinde, Yashar Mousavi, Vahid Azimi, Ali Karimmoddini

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