A deep learning model for predicting systemic lupus erythematosus-associated epitopes by Jiale He, Zixia Liu, Xiaopo Tang

“…Methods The framework comprises six interconnected components: (1) handcrafted feature extraction encoding biochemical and physicochemical attributes; (2) an embedding layer for dense sequence representation; (3) a Convolutional Neural Network (CNN) branch that captures local patterns from handcrafted features; (4) a Long Short-Term Memory branch for learning temporal dependencies in sequence data; (5) a scaled dot-product attention-based fusion module that integrates complementary information from both branches; and (6) a Multi-Layer Perceptron for final classification. …”
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Accurate Indoor Home Location Classification through Sound Analysis: The 1D-ILQP Approach by Umut Erman, Türker Tuncer, Nura Abdullahi, Sengul Dogan, Erhan Akbal

“…To facilitate the extraction of high-level textural features, we emulated the convolutional neural network (CNN) architecture, applying maximum pooling to decompose signals. …”
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Evolutionary modeling reveals that value-oriented knowledge creation behaviors reinvent jobs by Yihang Cheng, Zhaoqi Yang, Yuan Cheng, Yong Ge, Hengshu Zhu

“…Our study underlies the mechanisms of job evolution from the organizational level and provides empirical evidence and insights into the job evolution dynamics within knowledge networks.…”
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Powdery mildew resistance prediction in Barley (Hordeum Vulgare L) with emphasis on machine learning approaches by Farveh Vahidpour, Hossein Sabouri, Fakhtak Taliei, Sayed Javad Sajadi, Saeed Yarahmadi, Hossein Hosseini Moghaddam

“…Abstract By employing machine-learning models, this study utilizes agronomical and molecular features to predict powdery mildew disease resistance in Barley (Hordeum Vulgare L). …”
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Federated XAI IDS: An Explainable and Safeguarding Privacy Approach to Detect Intrusion Combining Federated Learning and SHAP by Kazi Fatema, Samrat Kumar Dey, Mehrin Anannya, Risala Tasin Khan, Mohammad Mamunur Rashid, Chunhua Su, Rashed Mazumder

“…Furthermore, UDP has been found to be the most significant feature of the network layer from the SHAP analysis. …”
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InGSA: integrating generalized self-attention in CNN for Alzheimer's disease classification by Faisal Binzagr, Anas W. Abulfaraj

“…Furthermore, several GSA heads are used to exploit other dependency structures of global features as well. Our evaluation of InGSA on a two benchmark dataset, using various pre-trained networks, demonstrates the GSA's superior performance.…”
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Advanced Deep Learning Models for Melanoma Diagnosis in Computer-Aided Skin Cancer Detection by Ranpreet Kaur, Hamid GholamHosseini, Maria Lindén

“…An image segmentation network based on deep learning is then used to extract lesion regions for detailed analysis and calculate the optimized classification features. …”
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SwinTCS: A Swin Transformer Approach to Compressive Sensing with Non-Local Denoising by Xiuying Li, Haoze Li, Hongwei Liao, Zhufeng Suo, Xuesong Chen, Jiameng Han

“…Moreover, to better capture local features of images, we introduce an auxiliary convolutional neural network (CNN). …”
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DDD++: Exploiting Density map consistency for Deep Depth estimation in indoor environments by Giovanni Pintore, Marco Agus, Alberto Signoroni, Enrico Gobbetti

“…By leveraging the distinctive vertical and horizontal patterns found in man-made indoor environments, we propose a streamlined network architecture that incorporates gravity-aligned feature flattening and specialized vision transformers. …”
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An Efficient Sentiment Classification Method with the Help of Neighbors and a Hybrid of RNN Models by Israa K. Salman Al-Tameemi, Mohammad-Reza Feizi-Derakhshi, Saeed Pashazadeh, Mohammad Asadpour

“…Then, a new deep recurrent neural network architecture is proposed, comprising two distinct modules: bidirectional long short-term memory (Bi-LSTM) and gated recurrent unit (GRU). …”
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Hybrid RGSA and Support Vector Machine Framework for Three-Dimensional Magnetic Resonance Brain Tumor Classification by R. Rajesh Sharma, P. Marikkannu

“…Support vector machines, over backpropagation network, and k-nearest neighbor are used to evaluate the goodness of classifier approach. …”
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Investigating the performance of multivariate LSTM models to predict the occurrence of Distributed Denial of Service (DDoS) attack. by Prashant Kumar, Chitra Kushwaha, Dimple Sethi, Debjani Ghosh, Punit Gupta, Ankit Vidyarthi

“…The rationale for selecting Long Short-Term Memory (LSTM) networks for evaluation in our study is based on their proven effectiveness in modeling sequential and time-series data, which are inherent characteristics of network traffic and cybersecurity data. …”
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Research on Open-Set Recognition Methods for Rolling Bearing Fault Diagnosis by Jia Xu, Yan Wang, Renyi Xu, Hailin Wang, Xinzhi Zhou

“…The framework is built upon a serial multi-scale convolutional prototype learning (SMCPL) network, enhanced with an efficient channel attention (ECA) mechanism to extract the most critical fault features. …”
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Fog Computing Architecture for Load Balancing in Parallel Production with a Distributed MES by William Oñate, Ricardo Sanz

“…These improvements and integrations enabled the value chain of this expanded architecture to have lower latency, greater scalability, optimized resource utilization, and improved resistance to network service failures compared to the initial one.…”
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Promoting Geoheritage in the Aspiring Geopark of Taburno-Camposauro (Southern Apennines, Italy) with Innovative Tools by Pietro Palazzo, Alessio Valente

“…In fact, the rock outcrops, landscape features and surface and ground water make it possible to reconstruct the geological evolution of this area. …”
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ATBShellFinder: A Bytecode-Level Webshell Detector Based on Adversarial Training by Yuqin Xie, Yuan Zhang, Daofeng Li, Guoren Xiong

“…Webshell is a malicious server-side script that attackers can upload to a server to execute commands, steal sensitive data, and maintain persistent access. With the rapid evolution of evasion techniques, existing detection methods fail to effectively capture the contextual semantics and abstract features of webshell variants. …”
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THE FREE TRADE AGREEMENT BETWEEN THE EAEU AND VIETNAM AS A FACTOR OF RUSSIAN-VIETNAMESE RELATIONS by N. V. Fedorov

“…The author  pays special attention to evolution of Russian-Vietnamese relations  and also to key factors of Vietnam’s foreign policy. …”
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Kohonen Mapping of the Space of Vibration Parameters of an Intact and Damaged Wheel Rim Structure by Arkadiusz Rychlik, Oleksandr Vrublevskyi, Daria Skonieczna

“…This study presents the utilisation of vibration spectra via Fast Fourier Transform (FFT) and a neural network’s learning capabilities for evaluating structural damage. …”
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CGDINet: A Deep Learning-Based Salient Object Detection Algorithm by Chengyu Hu, Jianxin Guo, Hanfei Xie, Qing Zhu, Baoxi Yuan, Yujie Gao, Xiangyang Ma, Jialu Chen, Juan Tian

“…To address these problems, an improved significance object detection network—CGDINet (Coordinate Attention-Group Consensus Aggregation Module-Depth Auxiliary Module-Inverse Saliency Pyramid Reconstruction Network)—is proposed. …”
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An emotional classification method of Chinese short comment text based on ELECTRA by Shunxiang Zhang, Hongbin Yu, Guangli Zhu

“…In response to such problem, the text proposes a new method based on ELECTRA and hybrid neural network. This method can more accurately capture the emotional features of the text, improve the classification effect, enhance the evaluation feedback mechanism, and facilitate user decision-making. …”
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