Exploring a digital music teaching model integrated with recurrent neural networks under artificial intelligence by Yang Han

“…Within this teaching model, the music evaluation module employs a three-layer Bidirectional LSTM (Bi-LSTM) combined with an attention mechanism, effectively capturing the long-term sequential features of Musical Instrument Digital Interface (MIDI) music to support the assessment of students’ musical performances. …”
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Metaparameter optimized hybrid deep learning model for next generation cybersecurity in software defined networking environment by C. Labesh Kumar, Suresh Betam, Denis Pustokhin, E. Laxmi Lydia, Kanchan Bala, Rajanikanth Aluvalu, Bhawani Sankar Panigrahi

“…Abstract The Software Defined Networking (SDN) method has evolved to project future systems and collect novel application needs for several years. …”
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Asteroid gravitational field calculation via GeodesyNets with quadratic layers by Zhitao Fu, Weitong Li, Shanhong Liu

“…The traditional SIREN neural network performs well in capturing low-frequency features, such as regular shapes or large-scale density distributions. …”
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A novel approach for energy- and memory-efficient data loss prevention to support Internet of Things networks by Pooya Hejazi, Gianluigi Ferrari

“…Internet of Things integrates various technologies, including wireless sensor networks, edge computing, and cloud computing, to support a wide range of applications such as environmental monitoring and disaster surveillance. …”
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MCAF-Net: Multi-Channel Temporal Cross-Attention Network with Dynamic Gating for Sleep Stage Classification by Xuegang Xu, Quan Wang, Changyuan Wang, Yaxin Zhang

“…To overcome these shortcomings, we present MCAF-Net, a novel network architecture that employs temporal convolution modules to extract channel-specific features from each input signal and introduces a dynamic gated multi-head cross-channel attention mechanism (MCAF) to effectively model the interdependencies between different physiological channels. …”
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Preclinical evaluation of candidate “kill or cure” strategies to treat MFN2-related lipodystrophy by Ineke Luijten, Xiong Weng, Ula Kibildyte, Jana Buchan, Ami Onishi, Jake Mann, Eleanor McKay, David Savage, Robert K. Semple

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Public irrigation decision support systems (IDSS) in Italy: Description, evaluation and national context overview by Mino Sportelli, Antonino Crivello, Manlio Bacco, Giovanni Rallo, Gianluca Brunori

“…This survey comprehensively examines the public irrigation decision support systems (IDSS) in Italy, offering a detailed description, analysis and evaluation of their features. The study investigates the agrometeorological networks and infrastructures that support Italian IDSS, providing a clearer understanding of the national context. …”
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Enhanced Magnetic Wireless Sensor Network Algorithm for Traffic Flow Monitoring in Low-Speed Congested Traffic by Haji Said Fimbombaya, Nerey H. Mvungi, Ndyetabura Y. Hamisi, Hashimu U. Iddi

“…Traffic flow monitoring using magnetic wireless sensor networks in chaotic cities of developing countries represents an emergent technology. …”
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Urban Road Collapse Risk Assessment Study Based on InSAR Spatiotemporal Data by Juncai Jiang, Wenfeng Bai, Yizhao Wang, Fei Wang, Qinglun He, Long Chen, Yuming Qiao, Zhi Wang, Haitao Luo

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A Dual-Branch Residual Network with Attention Mechanisms for Enhanced Classification of Vaginal Lesions in Colposcopic Images by Haima Yang, Yeye Song, Yuling Li, Zubei Hong, Jin Liu, Jun Li, Dawei Zhang, Le Fu, Jinyu Lu, Lihua Qiu

“…The feature guidance module focuses the local branch network on vaginal-specific features by using spatial and channel attention mechanisms. …”
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Inferring Travel Modes from Cellular Signaling Data Based on the Gated Recurrent Unit Neural Network by Yanchen Wang, Fei Yang, Li He, Haode Liu, Li Tan, Cheng Wang

“…This paper builds a travel mode identification model that utilizes the gated recurrent unit (GRU) neural network. With 24 features as input, this method can identify four traffic modes, including walking, bicycle, car, and bus. …”
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Diagnostic and prognostic value of the left atrial myopathy evaluation in cardiac amyloidosis using echocardiography by Aaisha Ferkh, Paul Geenty, Luke Stefani, Peter Emerson, Jennifer Pham, Karen Byth, Anita C. Boyd, David Richards, Mark S. Taylor, Fiona Kwok, Eddy Kizana, Liza Thomas

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SAGEFusionNet: An Auxiliary Supervised Graph Neural Network for Brain Age Prediction as a Neurodegenerative Biomarker by Suraj Kumar, Suman Hazarika, Cota Navin Gupta

“…Additionally, it incorporates multi-layer feature fusion to capture multi-scale structural information across the network hierarchy and auxiliary supervision to enhance gradient flow and feature learning at multiple depths. …”
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A Social-Network-Based Crowd Selection Approach for Crowdsourcing Mobile Apps Requirements Engineering Tasks by Ghadah Alamer, Sultan Alyahya, Hmood Al-Dossari

“…Overall, we believe that the proposed social-network-based crowd selection approach could help in eliciting mobile app requirements and features that could cater to the needs of a large audience.…”
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Super-resolution for electron microscope scanning images of shale via spatial-spectral domain attention network by Junqi Chen, Lijuan Jia, Jinchuan Zhang, Yilong Feng

“…This study introduced a novel neural network called the spatial-spectral domain attention network (SSDAN), which employed spatial and spectral domain attention mechanisms to extract features and restore information in parallel. …”
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Small-world network properties and cortical responses of Tai Chi Yunshou: Insights from fNIRS by Jin Fan, Ruijun He, Dongling Zhong, Xiaobo Liu, Huan Liu, Zhi Chen, Qinjian Dong, Yuxi Li, Chen Xue, Jiaming Zhang, Cheng Xie, XianJun Xiao, Xiaoshen Hu, Xi Wu, Juan Li, Rongjiang Jin

“…Objective: This study aims to characterize the time-domain features and functional network properties from Tai Chi Yunshou across four states (rest, observation, imagination, and motion) using functional near-infrared spectroscopy (fNIRS), thereby discriminating the neural mechanisms underlying the mental regulation and integrative body-mind harmony of Tai Chi Yunshou. …”
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Revealing the Next Word and Character in Arabic: An Effective Blend of Long Short-Term Memory Networks and ARABERT by Fawaz S. Al-Anzi, S. T. Bibin Shalini

“…This work combines the trained Arabic language model ARABERT with the potential of Long Short-Term Memory (LSTM) networks to predict the next word and character in an Arabic text. …”
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An Improved Generative Adversarial Network for Generating Multi-Scale Electronic Map Tiles Considering Cartographic Requirements by Wei Zhu, Qingsheng Guo, Nai Yang, Ying Tong, Chuanbang Zheng

“…We designed a multi-scale electronic map tile generative adversarial network (MsM-GAN), which consisted of several GANs and could generate map tiles at different map scales sequentially. …”
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Convolutional neural network using magnetic resonance brain imaging to predict outcome from tuberculosis meningitis. by Trinh Huu Khanh Dong, Liane S Canas, Joseph Donovan, Daniel Beasley, Nguyen Thuy Thuong-Thuong, Nguyen Hoan Phu, Nguyen Thi Ha, Sebastien Ourselin, Reza Razavi, Guy E Thwaites, Marc Modat

“…We used a convolutional neural network (CNN) to explore the complementary contribution of brain MRI to the conventional prognostic determinants.…”
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Natural sounds can be reconstructed from human neuroimaging data using deep neural network representation. by Jong-Yun Park, Mitsuaki Tsukamoto, Misato Tanaka, Yukiyasu Kamitani

“…Drawing on the hierarchical auditory features of deep neural networks (DNNs) with progressively larger time windows and their neural activity correspondence, we introduce a method for sound reconstruction that integrates brain decoding of DNN features and an audio-generative model. …”
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