Role of rehabilitation in patients with chronic obstructive pulmonary disease by Zeinb M.M. El Dardery, Abdelhfeez Moshrif, Ibrahim M. Shalan, Yasin A. Gala

“…Conclusion Rehabilitation of COPD patients is an efficient tool in improving the life quality beside conventional medical treatment.…”
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Versatile waste sorting in small batch and flexible manufacturing industries using deep learning techniques by Arso M. Vukicevic, Milos Petrovic, Nebojsa Jurisevic, Marko Djapan, Nikola Knezevic, Aleksandar Novakovic, Kosta Jovanovic

“…To address this challenge, our study is focused on assessing the ability of the Segment Anything Model (SAM) family of deep learning architectures to separate highly variable objects during robotic waste sorting. …”
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Authenticity Detection of Egg White Powder Using Near-Infrared Spectroscopy Based on Improved One-Dimensional Convolutional Neural Network Model by ZHU Zhihui, LI Wolin, HAN Yutong, JIN Yongtao, YE Wenjie, WANG Qiaohua, MA Meihu

“…This model required no spectral preprocessing. To enhance its ability to extract spectral features, an efficient channel attention module (ECA) and a one-dimensional global average pooling (1D-GAP) layer were singly or together incorporated into the model, consequently reducing noise interference. …”
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Automated Control System for Drum-Type Biofermenter by A. Yu. Briukhanov, E. V. Vasilev, S. A. Egorov

“…Modern production increasingly relies on the implementation of automated control systems to improve the efficiency, precision, and safety of technological processes. …”
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Recent Trends in Proxy Model Development for Well Placement Optimization Employing Machine Learning Techniques by Sameer Salasakar, Sabyasachi Prakash, Ganesh Thakur

“…Finally, the potential of integrating a data-driven approach with ROM techniques to develop more computationally efficient proxy models for well placement optimization is also discussed. …”
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Direct methanol fuel cells parameter identification with enhanced algorithmic technique by Manish Kumar Singla, Muhammed Ali S.A, Ramesh Kumar, Hamed Zeinoddini-Meymand, Farhad Shahnia

“…This demonstrates superior performance in finding the global minimum, consistent results with limited variability, and the ability to consistently provide near-optimal solutions. …”
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Interpretable and Robust Ensemble Deep Learning Framework for Tea Leaf Disease Classification by Ozan Ozturk, Beytullah Sarica, Dursun Zafer Seker

“…In this study, advanced deep learning architectures such as ResNet50, MobileNet, EfficientNetB0, and DenseNet121 were utilized to classify tea leaf diseases. …”
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Combining convolutional neural network with transformer to improve YOLOv7 for gas plume detection and segmentation in multibeam water column images by Wenguang Chen, Xiao Wang, Junjie Chen, Jialong Sun, Guozhen Zha

“…Inspired by the transformer’s ability to achieve global modeling through self-attention, we combine CNN with the transformer to improve the existing YOLOv7 (You Only Look Once version 7) model. …”
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Extreme genetic fragility of the HIV-1 capsid. by Suzannah J Rihn, Sam J Wilson, Nick J Loman, Mudathir Alim, Saskia E Bakker, David Bhella, Robert J Gifford, Frazer J Rixon, Paul D Bieniasz

“…Genetic robustness, or fragility, is defined as the ability, or lack thereof, of a biological entity to maintain function in the face of mutations. …”
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Intelligent back-to-back testing with denoising autoencoder-based fault detection and DBSCAN clustering by Mohammad Abboush, Christoph Knieke, Andreas Rausch

“…The approach is capable of automatically detecting and clustering the faults in an efficient manner considering the noisy conditions. …”
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Utilizing the subtractive proteomics approach to design ensemble vaccine against Candida lusitaniae for immune response stimulation; a bioinformatics study. by Habiba Naz, Rimsha Timotheous, Muhammad Farhan Sarwar, Tariq Nadeem, Mudassar Fareed Awan, Sajed Ali, Sophia Awais, Irfan Ahmed

“…Vaccine is one of those efficient therapeutic agents which stimulates immune response and prevents a certain infection to get hazardous. …”
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A comprehensive study of non-destructive localization of structural features in metal plates using single and multimodal Lamb wave excitations by Silitonga Dicky J., Declercq Nico F., Walaszek Henri, Vu Quang A., Saidoun Abdelkrim, Samet Naim, Ndiaye Elhadji Barra, Thabourey Jérôme

“…They provide critical insights into the method’s ability to deliver precise and efficient detection of structural anomalies despite inherent challenges in signal interpretation and analysis.…”
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Harmonics Elimination of Reduced Switch Multilevel Inverter Using Henry Gas Solubility Optimization Algorithm by Murni Nabila Mohd Zawawi, Zainuddin Mat Isa, Baharuddin Ismail, Mohd Hafiz Arshad, Ernie Che Mid, Md Hairul Nizam Talib, Muhammad Fitra Zambak

“…This study introduces a pioneering method to enhance the efficiency and effectiveness of three-phase five-level reduced switch cascaded H-bridge multilevel inverters (CHB MLI) by employing the Henry Gas Solubility Optimization (HGSO) algorithm. …”
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Spatial-Channel Multiscale Transformer Network for Hyperspectral Unmixing by Haixin Sun, Qiuguang Cao, Fanlei Meng, Jingwen Xu, Mengdi Cheng

“…In addition, a multiscale multi-head self-attention (MMSA) module is designed to extract rich multiscale global contextual and channel information, enabling a balance between accuracy and efficiency. An efficient feed-forward network (E-FFN) is further introduced to enhance inter-channel information flow and fusion. …”
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PS-YOLO: A Lighter and Faster Network for UAV Object Detection by Han Zhong, Yan Zhang, Zhiguang Shi, Yu Zhang, Liang Zhao

“…Then, we introduce a more efficient neck network called FasterBIFFPN to replace the original PAFPN, enabling more effective multi-scale feature fusion. …”
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Automated Detection of Recent Mud Extrusions Using UAV Imagery and Deep Learning: A Comparative Analysis of Traditional and CNN-Based Approaches by M. Guastella, M. Guastella, A. Pisciotta, R. Martorana, A. D’Alessandro

“…Feature extraction methods were selected based on their ability to distinguish between the two designated classes effectively. …”
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Correction of Fanconi Anemia Group C Hematopoietic Stem Cells Following Intrafemoral Gene Transfer by Ouassila Habi, Johanne Girard, Valérie Bourdages, Marie-Chantal Delisle, Madeleine Carreau

“…Using this approach, we show that FancC−/− HSCs were efficiently corrected. Intrafemoral gene transfer of the FancC gene prevented the mitomycin C-induced BM failure. …”
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Optimized driver fatigue detection method using multimodal neural networks by Shengli Cao, Peihua Feng, Wei Kang, Zeyi Chen, Bo Wang

“…This dynamic interaction between features enhances the model’s ability to capture complex patterns associated with driver fatigue, leading to superior performance. …”
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An enhanced BERT model with improved local feature extraction and long-range dependency capture in promoter prediction for hearing loss by Jing Sun, Yangfan Huang, Jiale Fu, Li Teng, Xiao Liu, Xiaohua Luo

“…The CNN module is able to capture local regulatory features, while the BiLSTM module can effectively model long-distance dependencies, enabling efficient integration of global and local features of promoter sequences. …”
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Plant Growth-Promoting Microbes for Resilient Farming Systems: Mitigating Environmental Stressors and Boosting Crops Productivity—A Review by Assiya Ansabayeva, Murat Makhambetov, Nazih Y. Rebouh, Mostafa Abdelkader, Hani S. Saudy, Karim M. Hassan, Mohamed A. Nasser, Mahmoud A. A. Ali, Mohamed Ebrahim

“…PGPMs, which include bacteria, fungi, and other microorganisms, are increasingly recognized as important contributors to promoting eco-friendly agricultural practices. Their ability to improve nutrient availability, stimulate plant growth, and protect crops from environmental stressors makes them a cornerstone for resilient and efficient farming systems. …”
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