Advances in Traffic Congestion Prediction: An Overview of Emerging Techniques and Methods by Aristeidis Mystakidis, Paraskevas Koukaras, Christos Tjortjis

“…The ongoing increase in urban populations has resulted in the enduring issue of traffic congestion, adversely affecting the quality of life, including commute duration, road safety, and local air quality. …”
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Perbandingan Metode Cost Sensitive pada Decision Tree dan Naïve Bayes untuk Klasifikasi Data Multiclass by M Aldiki Febriantono, Sholeh Hadi Pramono, Rahmadwati Rahmadwati

“…Seeing as classifiers do have a lot of learning patterns in the data, testing an imbalanced dataset becomes a major classification issue. The cost-sensitive approach on the decision tree C4.5 and nave Bayes is used to solve the rule of misclassification. …”
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Plastic Litter Detection in the Environment Using Hyperspectral Aerial Remote Sensing and Machine Learning by Marco Balsi, Monica Moroni, Soufyane Bouchelaghem

“…Plastic waste has become a critical environmental issue, necessitating effective methods for detection and monitoring. …”
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Soil Erosion Mapping at Kampung Batu Balai, Kuala Krai, Kelantan using Geographic Information System (GIS) by Udin Wani Sofia, Mohd Saidin Seri Almas, Hussin Hamzah

“…A soil erosion map with classification from low to high vulnerability is produced by combining these criteria. …”
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IT service: concepts and types for accounting purposes by I.V., L.V., I.L.

“…There is no unity among scientists on this issue. The purpose of the article is to reveal the concept, main characteristics and types of IT services that have an impact on their accounting. …”
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SMFNet: One-Shot Recognition of Chinese Character Font Based on Siamese Metric Model by Fei Yan, Hua Zhang

“…Furthermore, compared to other prevalent CNN classification models, SMFNet exhibits outstanding performance in terms of parameter quantity and demonstrates excellent capabilities in recognizing new fonts. …”
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Learning From Imbalanced Data Using Triplet Adversarial Samples by Jaesub Yun, Jong-Seok Lee

“…The imbalance of classes in real-world datasets poses a major challenge in machine learning and classification, and traditional synthetic data generation methods often fail to address this problem effectively. …”
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Topology‐aware tensor decomposition for meta‐graph learning by Hansi Yang, Quanming Yao

“…The proposed topology‐aware tensor decomposition is easy to use and simple to implement, and it can be taken as a plug‐in part to upgrade many existing works, including node classification and recommendation on heterogeneous graphs. …”
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Methodological Aspects of Elaborating Marketing Strategy of Innovation Bank Products and Services by N. I. Bykanova

“…In spite of a big number of publications dealing with this issue, academic research should be developed further. …”
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Russian sign language: Main problems of vocabulary study by A.A. Komarova

“…The article analyzes the studies on this issue, starting with the works of G.L. Zaitseva from the 1990s to the present, as well as the classification of the vocabulary of sign languages by Russian and foreign specialists, including those used in cognitive linguistics. …”
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THE ROLE OF TRANSFER PRICING LEGISLATION IN MITIGATING BASE EROSION AND PROFIT SHIFTING IN DEVELOPING COUNTRIES WITH A SPECIFIC FOCUS ON ZIMBABWE by Queen MPOFU

“…In today’s interconnected global economy, transfer pricing has emerged as a critical issue for governments worldwide. Tax authorities are particularly concerned about its potential for profit shifting to low-tax jurisdictions, which can significantly reduce overall tax liabilities. …”
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A stable biologically motivated learning mechanism for visual feature extraction to handle facial categorization. by Karim Rajaei, Seyed-Mahdi Khaligh-Razavi, Masoud Ghodrati, Reza Ebrahimpour, Mohammad Ebrahim Shiri Ahmad Abadi

“…The brain mechanism of extracting visual features for recognizing various objects has consistently been a controversial issue in computational models of object recognition. …”
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Study of the Leading Causes of Death in Guanajay in the year 2013 by Jorge Julian Sánchez Fernández, Ana Lilia Cabrera Menéndez, Ailed Pérez Pi, José Carlos Merino Concepción

“…The top three causes of death in the study period were taken from the certificates issued according to the content of the Tenth Revision of the International Classification of Diseases. …”
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Multi-scalar geographies of polarisation and peripheralisation: A case study of Czechia by Šimon Martin

“…A key issue in socio-economic geography is to understand how regional and social polarisation shapes the territorial organisation of society. …”
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Exploring the Detection Accuracy of Concrete Cracks Using Various CNN Models by Mohammed Ameen Mohammed, Zheng Han, Yange Li

“…Recently, although many concrete crack detection models based on convolutional neural networks (CNNs) have been developed, the accuracy of the proposed models varies. Up-to-date, the issue regarding the convolutional neural network architecture with best performance for detecting concrete cracks is still debated in many previous studies. …”
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Algorithmic Bias as a Core Legal Dilemma in the Age of Artificial Intelligence: Conceptual Basis and the Current State of Regulation by Gergely Ferenc Lendvai, Gergely Gosztonyi

“…This article examines algorithmic bias as a pressing legal challenge, situating the issue within the broader context of artificial intelligence (AI) governance. …”
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The Power and Limits of Reason: Al-Rāzī on the Possibility of General and Particular Metaphysical Knowledge by Eşref Altaş

“…Firstly, after outlining his classification of the metaphysical knowable into essence and existence as well as undetailed (ijmālī) and detailed (taf~īlī), the article analyzes al-Rāzī’s acceptance of the possibility of general knowledge of metaphysics under a few headings by delving into some major themes. …”
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Risk-Generating aspect of public history in digital environment (on the example of Russian video blogging in the 2020s) by Yu. V. Nikulich

“…Based on the analysis of data from in-depth interviews with experts in the field of media history (N = 60) conducted in 2022-2023, a classification of the main risks that a historian faces on the Web has been compiled. …”
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HG-LGBM: A Hybrid Model for Microbiome-Disease Prediction Based on Heterogeneous Networks and Gradient Boosting by Jun Guo, Chunyan Xu, Ying Liu

“…We employ a hierarchical heterogeneous graph transformer (HGT) encoder, which utilizes a multi-head attention mechanism to learn higher-order node representations, while LightGBM optimizes the classification task using gradient-boosted decision trees. …”
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Improving cancer detection through computer-aided diagnosis: A comprehensive analysis of nonlinear and texture features in breast thermograms. by Hamed Khodadadi, Shima Nazem

“…Breast cancer is a significant health issue for women, characterized by its high rates of mortality and sickness. …”
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