An enhanced GhostNet model for emotion recognition: leveraging efficient feature extraction and attention mechanisms by Jie Sun, Tianwen Xu, Yao Yao

“…Emotion recognition plays a crucial role in understanding decision-making processes, as emotional stimuli significantly influence individuals' choices. …”
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Robotized 3D Scanning and Alignment Method for Dimensional Qualification of Big Parts Printed by Material Extrusion by Juan Carlos Antolin-Urbaneja, Rakel Pacheco Goñi, Nerea Alberdi Olaizola, Ana Isabel Luengo Pizarro

“…The growing availability of thermoplastic materials printed by material extrusion systems requires research to verify the geometrical accuracy after three-dimensional printing processes to assess whether the part can meet the required geometry through milling processes. …”
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Enhancing mixing efficiency in multi-impeller tanks through innovative CFD and artificial neural network approaches by Reza Beigzadeh, Saber Soltanian, Yousef Azizpour

“…This study introduces an innovative model for simulating fluid flow in multi-impeller tanks using Computational Fluid Dynamics (CFD) and Artificial Neural Networks (ANN). …”
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Unraveling the role of neuregulin-mediated astrocytes-OPCs axis in the pathogenesis of age-related macular degeneration and Parkinson’s disease by Shuyan Zhang, Cheng Zhang, Yinjian Zhang, Yibin Feng

“…Additionally, this study highlighted an astrocyte–oligodendrocyte precursor cell (OPCs) signaling axis mediated by Neuregulin (NRG), which is hypothesized to influence neuroinflammatory processes characteristic of dry AMD and PD pathogenesis. …”
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Investigating Tensile Strength in SLA 3D Printing Enhancement Through Experimentation and Finite Element Analysis by Siwasit Pitjamit, Norrapon Vichiansan, Parida Jewpanya, Pinit Nuangpirom, Pakpoom Jaichomphu, Komgrit Leksakul, Pattarawadee Poolperm

“…Experimental testing, conducted using an Instron 5566 machine, reveals that a print orientation of 22.5 degrees and side orientations yield the highest tensile strength, reaching 72.01 MPa. Computational simulations, performed using ANSYS software, corroborate experimental findings, demonstrating promising correlations between experimental and computational results. …”
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Evaluating Critical Success Factors in AI-Driven Drug Discovery Using AHP: A Strategic Framework for Optimization by Amir Mohamed Talib, Areen Metib Al-Hgaish, Rodziah Binti Atan, Abdulaziz Alshammari, Fahad Omar Alomary, Razali Yaakob, Abdulaziz Alsahli, Mohd Hafeez Osman

“…This study presents a novel framework using the Analytic Hierarchy Process (AHP) to systematically evaluate and rank these factors, addressing a crucial gap in strategic planning for AI adoption in pharmaceutical research. …”
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Emotion-Aware RoBERTa enhanced with emotion-specific attention and TF-IDF gating for fine-grained emotion recognition by Fatimah Alqarni, Alaa Sagheer, Amira Alabbad, Hala Hamdoun

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Speech Emotion Recognition: Comparative Analysis of CNN-LSTM and Attention-Enhanced CNN-LSTM Models by Jamsher Bhanbhro, Asif Aziz Memon, Bharat Lal, Shahnawaz Talpur, Madeha Memon

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Filter-Assisted Self-Coherent Detection Field Recovery Scheme for Dual-Polarization Complex-Valued Double-Sideband Signals by Jiahao Huo, Li Han, Peng Qin, Jianlong Tao, Haolin Bai, Xiaoying Zhang

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Choosing a video conferencing service and its adaptation for educational institution by A. N. Markov, R. O. Ihnatovich, A. I. Paramonov

“…The load graphs for the central processing unit, random access memory and local computer network are presented. …”
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Style-Based Composer Identification and Attribution of Symbolic Music Scores: A Systematic Survey by Federico Simonetta

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An Explainable Model Using Graph-Wavelet for Predicting Biophysical Properties of Proteins and Measuring Mutational Effects by Shreya Mishra, Neetesh Pandey, Atul Rawat, Divyanshu Srivastava, Arjun Ray, Vibhor Kumar

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A comprehensive image dataset of Bangladeshi mango varietyMendeley Data by Rup Kumar Bharati, Md. Masudul Islam, Md Ripon Sheikh, Galib Muhammad Shahriar Himel

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Design and Implementation of a GaN-Based Composite Hybrid Switched-Capacitor DC-DC Converter for Space Applications by Samantha Coday, Elisa Krause, Margaret E. Blackwell, Rahul K. Iyer, Nathan M. Ellis, Ansel Barchowsky, Robert C.N. Pilawa-Podgurski

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Radioligands Targeting the Purinergic P2X Receptors by Diego Dal Ben, Michela Buccioni, Catia Lambertucci, Beatrice Francucci, Aleksei Smirnov, Andrea Spinaci, Gabriella Marucci, Rosaria Volpini

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Adaptive feature interaction enhancement network for text classification by Rui Su, Shangbing Gao, Kefan Zhao, Junqiang Zhang

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Big Data Deep Learning: Challenges and Perspectives by Xue-Wen Chen, Xiaotong Lin

“…It has gained huge successes in a broad area of applications such as speech recognition, computer vision, and natural language processing. With the sheer size of data available today, big data brings big opportunities and transformative potential for various sectors; on the other hand, it also presents unprecedented challenges to harnessing data and information. …”
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Secure IoMT for Disease Prediction Empowered With Transfer Learning in Healthcare 5.0, the Concept and Case Study by Tahir Abbas Khan, Areej Fatima, Tariq Shahzad, Atta-Ur-Rahman, Khalid Alissa, Taher M. Ghazal, Mahmoud M. Al-Sakhnini, Sagheer Abbas, Muhammad Adnan Khan, Arfan Ahmed

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Using Machine Learning to Diagnose Autism Based on Eye Tracking Technology by Ameera S. Jaradat, Mohammad Wedyan, Saja Alomari, Malek Mahmoud Barhoush

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Critical Observability of Stochastic Discrete Event Systems Under Intermittent Loss of Observations by Xuya Cong, Haoming Zhu, Wending Cui, Guoyin Zhao, Zhenhua Yu

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