Integrated Platform for Bio-Image Processing and Identification of Cervical Cancer by Larisa-Dalina LAZĂR, Diogen BABUC, Todor IVAŞCU

“… Cervical cancer is a major global health issue, ranking among the leading causes of death in women. …”
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Forecasting of Turkish Sovereign Sukuk Prices Using Artificial Neural Network Model by Dilşad Tülgen Çetin, Sedat Metlek

“…For this purpose, a multi-layer feed forward artificial neural network model is designed using dollar-based international sovereign sukuk price data issued by the Turkish Ministry of Treasury and Finance. …”
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Solving Simulated Imbalanced Body Performance Data using A-SUWO and Tomek Link Algorithm by Febryan Grady, Joel Rizky Wahidiyat, Abba Suganda Girsang

“… This research examines the impact of various sampling techniques on the performance of classification models in the context of imbalanced datasets, employing the body performance dataset as a case study.  …”
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FA-Unet: A Deep Learning Method with Fusion of Frequency Domain Features for Fruit Leaf Disease Identification by Xiaowei Li, Wenlin Wu, Fenghua Zhu, Shenhao Guan, Wenliang Zhang, Zheng Li

“…These feature maps are fused with multi-scale convolutional feature maps and then used for classification. Experiments were conducted on the Plant Village (PV) dataset and the Plant Pathology (PP) dataset with complex backgrounds. …”
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The relevance and efficiency analysis of functioning the scientific technical library at industrial enterprises by S. M. Brykalov, A. S. Balyberdin, V. E. Borodina

“…The results analysis was done using well-known scientific methods (grouping, classification, analysis, synthesis, etc.) based on process, complex functional and system approaches. …”
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Iris Recognition System Using Advanced Segmentation Techniques and Fuzzy Clustering Methods for Robotic Control by Slim Ben Chaabane, Rafika Harrabi, Hassene Seddik

“…The centroid’s position is then utilized to issue commands to control the robot. This innovative approach leverages iris movement as a means of communication and control, offering a potential breakthrough in assisting individuals with physical disabilities. …”
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A Two-Level Parallel Incremental Tensor Tucker Decomposition Method with Multi-Mode Growth (TPITTD-MG) by Yajian Zhou, Zongqian Yue, Zhe Chen

“…In this paper, a two-level parallel incremental tensor Tucker decomposition method with multi-mode growth (TPITTD-MG) is proposed to address the low parallelism issue of the existing Tucker decomposition methods on large-scale, high-dimensional, dynamically growing data. …”
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Air quality in the context of its monitoring in Central and Eastern Europe in 2010-2020 by Magdalena Proczek, Małgorzata Beata Dziembała

“…Objectives The purpose of this article is to discuss the issue of air quality monitoring by means of Sustainable Development Indicators (SDIs), and to present the changes in Central and Eastern European (CEE) countries that have taken place in this respect. …”
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Intelligent prediction for face straightness based on sensor data and human operation information by SUN Yan, FU Xiang, WANG Ranfeng, JIA Yifan, ZHANG Zhixing

“…A machine learning classification algorithm was employed to establish a prediction model for the face straightness of the current mining cycle. …”
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Soil stabilisation using binary blend of hospital waste ash and cement for pavement application by Daniel Oguntayo, Ebubechukwu Al-Ihekwaba, Olawale Aransiola, Michael Jethro

“…The management of hospital waste has become a significant global issue due to its detrimental effects on the environment. …”
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Households Vulnerable to Energy Poverty in the Visegrad Group Countries: An Analysis of Socio-Economic Factors Using a Machine Learning Approach by Urszula Grzybowska, Agnieszka Wojewódzka-Wiewiórska, Gintarė Vaznonienė, Hanna Dudek

“…Monitoring households’ exposure to energy poverty is a challenge for future social policy and the use of different methods provides an in-depth view of this complex issue.…”
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Milling Machine Fault Diagnosis Using Acoustic Emission and Hybrid Deep Learning with Feature Optimization by Muhammad Umar, Muhammad Farooq Siddique, Niamat Ullah, Jong-Myon Kim

“…The optimized features are finally fed into a fully connected (FC) layer of the proposed hybrid model for fault classification. The proposed method achieves an accuracy of 99.6%, significantly outperforming traditional approaches. …”
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Understanding spatial variations in the impact of accessibility on land value using geographically weighted regression by Hongbo Du, Corinne Mulley

“…There has been substantial research into this issue recently in the US, but, in the UK, only a few studies have examined the evidence of the impact of transport infrastructure on land value and these studies have concentrated on London. …”
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Tjalma syndrome: A rare manifestation of systemic lupus erythematosus by Ashwaq Alhmoudi, Ahlam Almarzooqi, Maryam Alahmad, Amna Al Muhairi, Sehriban Diab, Raven Haan, Khalid Elsayed

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Multi-strategy enhanced artificial rabbits optimization for prediction of grades in tourism service communication courses by Xiaodan Qu, Zhuyin Jia

“…However, like other metaheuristic algorithms, it often falls into local optima, and as iterations increase, the convergence speed slows down, leading to reduced convergence accuracy. To address this issue, a Multi-Strategy Enhanced Artificial Rabbits Optimization Algorithm (MEARO) is introduced. …”
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A text-speech multimodal Chinese named entity recognition model for crop diseases and pests by Ruilin Liu, Xuchao Guo, HongMei Zhu, Lu Wang

“…To improve the accuracy of the prediction label, the Masked CTC (Connectionist Temporal Classification) Loss is used to further align the multimodal semantic representation. …”
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Transformer-based language-independent gender recognition in noisy audio environments by Or Haim Anidjar, Roi Yozevitch

“…Additionally, this research addresses the critical issue of gender bias in voice recognition systems. …”
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Fault analysis of chemical equipment based on an improved hybrid model. by Wu Huiyong, Kuan Jiang, Wang Yanyu

“…First, the VMD-LMS process handles complex non-stationary signals, addressing the issue of mode mixing. Next, an asymmetric attention mechanism optimizes the ResNet, enhancing feature representation capabilities through deep learning. …”
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Análisis bibliométrico de los artículos originales publicados en la revista Universitas Scientiarum (1987-2007) by Raúl Alberto Poutou-Piñales, Tatiana Alexandra Escorcia-Otálora

“…Weconclude that there is a necessity to increase the IO, the h and to control the IA among others, and therefore we propose to control theage of the references and the self-citation as well as the permanent classification of documents by thematic areas, and the eliminationof the abstracts of degree works and thesis or otherwise to maintain a minimum constant number of original articles and reviews perpublished issue.…”
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Clinical profile of multiple myeloma in South India by Chemban Fousad, K V Gangadharan, Mansoor C Abdulla, Ram Naryan, M Jesha Mohammed Ali

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