ENHANCING MOBILITY: DEVELOPING A PEDESTRIAN SOLUTION FOR LOCOMOTION CHALLENGES AND ROAD SAFETY by Aneta WNUK, Dagmara JANKOWSKA-KARPA

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AdaptiveSwin-CNN: Adaptive Swin-CNN Framework with Self-Attention Fusion for Robust Multi-Class Retinal Disease Diagnosis by Imran Qureshi

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Features associated with the development of non-motor manifestations in Parkinson's disease Factores asociados con el desarrollo de complicaciones no motoras en la enfermedad de Pa... by Carlos Juri, Paola Viviani, Pedro Chaná

“…In conclusion, this study shows that the features related to the PD progression appear as the main risk factors associated with NMM.…”
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Optimal control efforts to reduce the transmission of HPV in a fractional-order mathematical model by A. El-Mesady, Tareq M. Al-shami, Hegagi Mohamed Ali

“…Further, the fractional optimal control problem (FOCP) is implemented for the proposed problem by utilizing Pontryagin’s maximum principle (PMP) with three time-dependent control variables, which are the efforts to promote safe sexual habits such as using a condom or monogamy, vaccination for HPV, and preventive measures for cervical cancer such as early screening and using drugs that prevent cells from turning cancerous. …”
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Assessment of efficiency of local anesthesia for teeth extracting with use of mental anesthesia by S. Malamed and anesthesia of intraosseal part of the mental nerve from the point...

“…Nowadays pain and anesthesia problems in dentistry are still actual. More than 40 techniques of local anesthesia on the mandible known today don't solve that problem, especially in the lateral part of the mandible. …”
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Stochastic Fractal Search for Bayesian Network Structure Learning Under Soft/Hard Constraints by Yinglong Dang, Xiaoguang Gao, Zidong Wang

“…However, the acquisition of expert knowledge faces problems such as excessively high labor costs, limited expert experience, and the inability to solve large-scale and highly complex DAGs. …”
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An Application of Machine Learning Methods to Cutting Tool Path Clustering and RUL Estimation in Machining by Fabio C. Zegarra, Juan Vargas-Machuca, Avid Roman-Gonzalez, Alberto M. Coronado

“…Machine learning has been widely used in manufacturing, leading to significant advances in diverse problems, including the prediction of wear and remaining useful life (RUL) of machine tools. …”
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Verification of the person’s dynamic signature on a limited number of samples by V. V. Starovoitov

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STEREOTYPICAL REPRESENTATION OF YOUTH IN THE MODERN ENGLISH LITERARY DISCOURSE by Olga V. Beshlei

“…The article reveals the stereotypical representation of young people, which is formed on the basis of the selection of individual, somewhat biased, axiologically marked subjective features and represents the spectrum of differential features of the actualization of the age concept YOUTH according to linguistic and cultural variability in the British-American literary discourse of the XXI century. …”
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Enhancing heart disease classification based on greylag goose optimization algorithm and long short-term memory by Ahmed M. Elshewey, Amira Hassan Abed, Doaa Sami Khafaga, Amel Ali Alhussan, Marwa M. Eid, El-Sayed M. El-kenawy

“…Heart rhythm disorders (arrhythmias), heart valve problems, congenital heart defects present at birth, and heart muscle disorders (cardiomyopathies) are other types of heart disease. …”
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Novel hybrid data-driven modeling based on feature space reconstruction and multihead self-attention gated recurrent unit: applied to PM2.5 concentrations prediction by Xiaoxin Yue, Yulong Bai, Qinghe Yu, Lin Ding, Wei Song, Wenhui Liu, Huhu Ren, Qi Song

“…Abstract In response to the problem of neglecting the periodic and global characteristics of sequence data when predicting PM2.5 concentrations via machine learning models, a PM2.5 concentrations prediction model based on feature space reconstruction and multihead self-attention gated recurrent unit (FSR-MSAGRU) is proposed in this study. …”
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Clothes Retrieval Using M-AlexNet With Mish Function and Feature Selection Using Joint Shannon’s Entropy Pearson’s Correlation Coefficient by Marryam Murtaza, Muhammad Sharif, Mussarat Yasmin, Muhammad Fayyaz, Seifedine Kadry, Mi Young Lee

“…However, significant clothes image variations degrade visual search retrieval accuracy. Another problem with retrieval accuracy is the high dimensions of feature vectors obtained from pre-trained deep CNN models. …”
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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

“…However, existing algorithms for peanut leaf disease detection techniques based on pictures or hyperspectral information still have problems with detection accuracy and stability. To address these limitations, this study proposes a robust multi-source feature fusion model for peanut leaf spot detection, integrating ResNet101 for RGB image feature extraction and an improved 1D-CNN for hyperspectral feature extraction. …”
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A lightweight personnel detection method for underground coal mines by Shuai WANG, Wei YANG, Yuxiang LI, Jiaqi WU, Wei YANG

“…To address the above problems, a lightweight personnel detection method YOLOv5-CWG is proposed for underground coal mine based on YOLOv5.Firstly, the coordinate attention mechanism (Coordinate Attention) embedded in the backbone network adaptively adjusts the weights of each channel in the feature map to enhance the expression ability of the features. …”
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Numerical model development analysis for the efficiency of convectively heated radiative ferromagnetic nanoparticles configured by oxytactic moment of microorganisms by Muhammad Tabrez, Waqar Azeem Khan, Iftikhar Hussain, Mehboob Ali, Yazan Oroud, Taseer Muhammad

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On the method of calculation of buckling and post-buckling behavior of laminated shells with small arbitrary imperfections by Mykola Semenyuk, Volodymyr Trach, Natalia Zhukova

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Narrative Strategy of Skepticism in N. Gstrein’s Novel “Die englischen Jahre” by E. M. Shastina, Yu. K. Kazakova

“…It is proved that the “narrative strategy of skepticism” allows us to trace the changes in the development of the plot of the novel, to identify the features of its poetics, to realize the semantic content of the text when considering the problem of identity on the example of a biographymyth. …”
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Action-Oriented Deep Reinforcement Learning Method for Precast Concrete Component Production Scheduling by Rongzheng Yang, Shuangshuang Xu, Hao Li, Hao Zhu, Hongyu Zhao, Xiangyu Wang

“…Secondly, dynamic processing features that evolve with the production environment are extracted as action representations, providing the agent with comprehensive decision-making information. …”
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Optimizing protein-ligand docking through machine learning: algorithm selection with AutoDock Vina by Ala’ Omar Hasan Zayed

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EEG channels selection for stroke patients rehabilitation using equilibrium optimizer by Al-Betar Mohammed Azmi, Alyasseri Zaid Abdi Alkareem, Makhadmeh Sharif Naser

“…The EO algorithm is utilized to represent the EEG channel selection problem, transforming the features of each individual EEG into binary values and subsequently applying a k-nearest neighbor classifier technique to determine the accuracy rate. …”
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