Diagnosis and classification of neuromuscular disorders using Bi-LSTM optimized with grey Wolf optimizer for EMG signals by Ruth Keziah Mani, Balakrishnan Nagaraj

“…However, the performance of these models is heavily influenced by hyperparameters such as the number of neurons, hidden layers, and learning rates. …”
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Optimizing cervical cancer diagnosis with accurate cell classification using modified HDFF by Pooja Patre, Dipti Verma

“…By enhancing the feature extraction process and combining multiple layers of deep learning models, the Modified HDFF method improves classification performance across various tasks, ranging from binary to multi-class problems. …”
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The Use of Neural Networks in the Diagnosis of Heart Failure Via the Analysis of Medical Data by Valentino Blanco, Aitana Iglesias

“…The findings demonstrate that the neural network model, characterized by a multi-layered perceptron architecture, achieved a classification accuracy of 89.9% when applied to the test dataset. …”
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Dissolving microneedles fabricated from 3D-printed master molds for application in veterinary medicine by Kornicka Justyna, Śniadek Patrycja, Marycz Krzysztof, Walczak Rafał

“…We have developed a repeatable process in which the obtained microneedles can easily penetrate the outer layers of skin and quickly deliver the model drug. …”
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A New Hybrid Intelligent Method for Accurate Short Term Electric Power Production Forecasting From Uncertain Renewable Energy Resources by Gholamreza Memarzadeh, Farshid Keynia, Faezeh Amirteimoury, Rasoul Memarzadeh, Hossein Noori

“…By capitalizing on the strengths of each individual model, the combined method mitigates their weaknesses, thereby improving the overall efficiency of the forecasting process. …”
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Slaughterhouse wastewater remediation using carbonized sawdust followed by textile filtration by Mahmoud Elkady, Ahmed. M. Yosri, Samar Mohamed Fathy, Mohammed Helmy Ahmed Abbas

“…The treatment process involves three stages: adsorption using activated carbon, which is derived from sawdust, followed by sedimentation, and finally, a slow sand filter with a modified layer of woven textile cotton. …”
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Numerical simulation of seismicity potential resulting from the injection of CO2 into depleted reservoir in Wilbarger County field, Texas by Dorcas S. Eyinla, Hossein Emadi, Steven K. Henderson, Humza Bin Navaid, Abir Kebir, Aman Arora

“…The model effectively captures the complex interplay between geological features and fault failure processes. …”
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A Multi-Scale Adaptive Fusion Network: End-to-End Interpretable Small-Sample Classifier for Motor Imagery EEG by Qiulei Han, Yan Sun, Ze Song, Hongbiao Ye, Tingwei Chen, Jian Zhao

“…Gradient-weighted Class Activation Mapping generated EEG topography maps visualized the brain regions of interest of the model, and the experimental results show that the decision-making process of the model in the MI-EEG decoding task is in accordance with neurophysiological principles. …”
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StApneaNet: A Deep Learning-Based Automatic Sleep Stage Adaptive Apnea Detection Network Using Single Channel EEG Signal by Suvasish Saha, Shaikh Anowarul Fattah, Mohammad Saquib

“…A residual squeeze and excitation based channel attention mechanism is then applied to the output feature channels which are further processed through a bi-directional long short term memory (Bi-LSTM) layer along with a temporal attention block. …”
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Damage Detection Method for Road Ancillary Facilities Integrating Attention Mechanism by Shuang Yang, Huiqin Wang, Ke Wang, Nan Guo

“…The model first introduces the D-GhostNet V3Conv module, replacing the standard convolutional layers, significantly enhancing feature extraction capabilities while reducing computational costs. …”
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Visualizing UNet Decisions: An Explainable AI Perspective for Brain MRI Segmentation by D. Jeya Mala, Mainak Chattopadhyay, Parthiba Mukhopadhyay, Roopak Sinha

“…Overall, this research work represents a significant advancement in leveraging the trustworthiness of UNet in accurate and efficient brain tumor segmentation via XAI methods, ultimately aiming to support clinicians in diagnosis and treatment planning while fostering a deeper understanding of the model’s decision-making processes.…”
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Numerical simulation of snow deposition around structural snow fences by K. Yu. Litvintsev, A. A. Gavrilov, A. A. Dekterev, Yu. N. Zaharinsky, A. A. Minakov, S. A. Filimonov, K. A. Finnikov

“…As part of the solution of these problems, a software package has been developed aimed at numerical modeling of snow transport processes and implementing the snow protection measures. …”
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Segmentation of airways and soft tissues on panoramic radiographs using artificial intelligence technology by Aslıhan Şahan Keskin, İlknur Eninanç

“…Of the radiographs, 72% were allocated for training, 18% for validation, and 10% for testing. A custom AI model based on the ResUNet architecture, comprising 74 layers and 24.3 million parameters, was developed utilizing the TensorFlow library. …”
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Impedance of a flow-through measuring electrochemical cell with a system of planar interdigitated microelectrodes by A. G. Kozlov, E. A. Fadina

“…To assess the influence of the cell height and geometric parameters of the interdigitated microelectrodes on the cell impedance, an analytical approach is proposed that uses several levels of modeling electrochemical processes in the cell. At first, an elementary two-dimensional subdomain is distinguished in the cell structure, for which the potential distribution is determined by solving the differential equation of electrical conductivity. …”
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Faster Image2Video Generation: A Closer Look at CLIP Image Embedding’s Impact on Spatio-Temporal Cross-Attentions by Ashkan Taghipour, Morteza Ghahremani, Mohammed Bennamoun, Aref Miri Rekavandi, Zinuo Li, Hamid Laga, Farid Boussaid

“…VCUT replaces the computationally intensive temporal cross-attention with a one-time computed linear layer, cached and reused across inference steps. …”
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Deep Learning Framework Using Spatial Attention Mechanisms for Adaptable Angle Estimation Across Diverse Array Configurations by Constantinos M. Mylonakis, Pantelis Velanas, Pavlos I. Lazaridis, Panagiotis Sarigiannidis, Sotirios K. Goudos, Zaharias D. Zaharis

“…This paper introduces a novel convolutional neural network (CNN) architecture that combines spatial attention mechanisms with a transfer learning framework to enhance both accuracy and versatility in DoA estimation. The model integrates spatial attention layers to dynamically prioritize signal regions with the highest information value, allowing it to isolate relevant signals and suppress interference in noisy or crowded signal environments. …”
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A numerical investigation of heat and mass transfer in the bioconvective Oldroyd B nanofluid flow through the porous stretching Riga surface with gyrotactic microorganism by Muhammad Zulfiqar, Muhammad Bilal Arain, Muhammad Zubair, Usman, Hadil Alhazmi

“…The Riga plate's flexible layer can mimic microbial movement driven by bioconvection, making it a useful model for studying this phenomenon. …”
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“Image-Spectral” fusion monitoring of peanut leaf spot disease level based on deep learning by Yongda Lin, Jiangtao Tan, Hong Li, Xi Li, Jianguo Wang, Tingting Chen, Lei Zhang

“…The model simultaneously processes RGB and spectral data as inputs, both of which are efficiently loaded through a unified dataloader. …”
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Experimental Study on Mixed Combustion Characteristics of Methanol/Diesel Pool Fires in Engine Rooms of Hybrid Ships by Jiaqi Dong, Zhongzheng Wu, Jinqi Han, Jianghao Li, Jiacheng Liu, Yunfeng Yan, Liang Wang

“…Therefore, a modification was made to the classical flame height model to account for these effects. Moreover, a prediction model for the burning rate of methanol/diesel pool fires was established based on transient temperature variations within the fuel layer. …”
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Formation of cheese pattern when using monospecies cultures by G. M. Sviridenko, O. M. Shukhalova, D. S. Vakhrusheva, D. S. Mamykin

“…It has been established that the use of a culture of citrate-fermenting lactococci L. diacetylactis ensures a stable lactic acid fermentation process during the production and ripening of the model and control cheeses, the formation of an elastic consistency and the desired pattern with eyes of a regular round shape. …”
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