An Improved Framework for Content- and Link-Based Web-Spam Detection: A Combined Approach by Asim Shahzad, Nazri Mohd Nawi, Muhammad Zubair Rehman, Abdullah Khan

“…The framework uses stopwords, keywords’ frequency, part of speech (POS) ratio, spam keywords database, and copied-content algorithms for content-based web-spam detection. For link-based web-spam detection, we initially exposed the relationship network behind the link-based web spamming and then used the paid-link database, neighbour pages, spam signals, and link-farm algorithms. …”
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STUDY OF THE INFLUENCE OF CRACKS ON THE BEARING CAPACITY OF REINFORCED CONCRETE PLATES USING THE PRINS CALCULATION COMPLEX by K. R. Aydemirov, V. P. Agapov

“…These algorithms assume the use of the same computational scheme in the process of solving the problem. …”
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Prediction of Early Diagnosis in Ovarian Cancer Patients Using Machine Learning Approaches with Boruta and Advanced Feature Selection by Tuğçe Öznacar, Tunç Güler

“…Conclusions: This study highlights the importance of choosing appropriate machine learning algorithms and feature selection techniques for ovarian cancer diagnosis. …”
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A Strategy-Driven Semantic Framework for Precision Decision Support in Targeted Medical Fields by Sivan Albagli-Kim, Dizza Beimel

“…Strategies integrate domain-specific knowledge and algorithms, refining decision making while maintaining the iterative nature of expert–patient interactions. …”
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Machine learning and deep learning in medicine and neuroimaging by Iván Sánchez Fernández, Jurriaan M. Peters

“…For the first time in history, computers can automatically perform some clinically relevant tasks at the level, or even above the level, of the relevant medical specialists. …”
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A Review of Personalised Cardiac Computational Modelling Using Electroanatomical Mapping Data by Ovais A Jaffery, Lea Melki, Gregory Slabaugh, Wilson W Good, Caroline H Roney

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A Review of Recipe Recommendation Methods by Yao Wu, Ling Kang, Quan Guo, Lei Zhao

“…Recipe recommendation aims to provide users with a curated list of recipes tailored to their dietary preferences, nutritional requirements, and other relevant factors. While existing recommendation algorithms have demonstrated effectiveness in traditional domains such as news, music, and product recommendations, there remains a relative paucity of research focused specifically on recipe recommendation within the culinary field, resulting in fragmented findings. …”
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Research progress and prospect of key technologies of fruit target recognition for robotic fruit picking by Shaohua Liu, Jinlin Xue, Tianyu Zhang, Pengfei Lv, Huanhuan Qin, Tianxing Zhao

“…Then, we focus on the relevant contents of fruit target recognition methods based on deep learning, including the target recognition process, the preparation and classification of the dataset, and the research results of target recognition algorithms in classification, detection, segmentation, and compression acceleration of target recognition network models. …”
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Anatomically and Dielectrically Realistic 2.5D 5-Layer Reconfigurable Head Phantom for Testing Microwave Stroke Detection and Classification by Tomas Pokorny, David Vrba, Jan Tesarik, Dario B. Rodrigues, Jan Vrba

“…The presented phantom is suitable for the development and testing of microwave systems and algorithms used in the detection and classification of vascular events relevant to stroke diagnosis.…”
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Applications of machine learning for modeling and advanced control of crystallization processes: Developments and perspectives by Fernando Arrais R.D. Lima, Marcellus G.F. de Moraes, Amaro G. Barreto, Jr, Argimiro R. Secchi, Martha A. Grover, Maurício B. de Souza, Jr

“…Crystallization is a separation method relevant to the production of medicines, food and many other products. …”
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Optimizing Gammatone Cepstral Coefficients for Gear Fault Detection by Zrar Kh Abdul, Abdulbasit K. Al-Talabani, Wisam Hazim Gwad, Entisar Alkayal, Halgurd S. Maghdid, Safar Maghdid Asaad

“…However, GTCC was originally designed for speech feature extraction rather than fault detection, which limits its ability to capture relevant features for fault identification effectively. …”
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Electricity Losses in Focus: Detection and Reduction Strategies—State of the Art by Daniela F. Niste, Radu Tîrnovan, Sorin Pavel, Horia Beleiu, Cziker Andrei, Marius Misaroș

“…Future research directions are based on the implementation of artificial intelligence (AI) algorithms to achieve this goal.…”
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Intelligent energy saving measurement method and realization of power grid based on IoT by Dapin ZHANG, Qinghai OU, Yeshen HE, Yiying ZHANG

“…Power grid energy saving engineering,especially transmission and transformation related projects,is an important link of energy saving.The energy saving measurement methods of the main links of transmission and transformation were summarized,including IPMVP method and general energy saving measurement method in China.At the same time,by using the technology of IoT and fusion of relevant algorithms,the efficiency of measuring equipment can be improved,and the energy saving can be measured in a timely and accurate way.The calculation and measurement methods of energy saving were illustrated by an example,which provided a theoretical basis for energy saving measurement in power grid enterprises.…”
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From Physically Based to Generative Models: A Survey on Underwater Image Synthesis Techniques by Lucas Amparo Barbosa, Antonio Lopes Apolinario

“….), synthesized underwater scenes can provide relevant data to improve image processing algorithms and computer vision tasks. …”
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Global and Local Interpretable Machine Learning Allow Early Prediction of Unscheduled Hospital Readmission by Rafael Ruiz de San Martín, Catalina Morales-Hernández, Carmen Barberá, Carlos Martínez-Cortés, Antonio Jesús Banegas-Luna, Francisco José Segura-Méndez, Horacio Pérez-Sánchez, Isabel Morales-Moreno, Juan José Hernández-Morante

“…A logistic regression model revealed chronic therapy (odds ratio: 3.75), diabetes mellitus history (odds ratio: 1.14), and days of stay (odds ratio: 1.02) as relevant factors. Machine learning algorithms yielded better results regarding sensitivity and other metrics. …”
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Applications of Machine Learning for Wine Recognition Based on ¹H-NMR Spectroscopy by Ariana Raluca Hategan, Adrian Pirnau, Dana Alina Magdas

“…The present study aims to explore the possibility of applying machine learning (ML) algorithms for the development of reliable wine authentication instruments able to encompass the exhaustive performances offered by learning-based methods, and, at the same time, to propose reference practices for improving the recognition ability of the developed models. …”
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Future network model for integrated collaboration of communication, computing, caching and intelligence by HU Yujiao, HUANG Tao, JIA Qingmin, XIE Renchao, LIU Yunjie

“…Simultaneously, 3CI-CoNet connected with intelligent devices, platforms, and algorithms relevant to various industries and applications to provide intelligent network services for emerging applications, ensuring the orderly and efficient operation of various services. 3CI-CoNet was designed with a hierarchical functional architecture, including the foundational resource layer, intelligent access layer, on-demand service layer, and business expression layer. …”
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Future network model for integrated collaboration of communication, computing, caching and intelligence by HU Yujiao, HUANG Tao, JIA Qingmin, XIE Renchao, LIU Yunjie

“…Simultaneously, 3CI-CoNet connected with intelligent devices, platforms, and algorithms relevant to various industries and applications to provide intelligent network services for emerging applications, ensuring the orderly and efficient operation of various services. 3CI-CoNet was designed with a hierarchical functional architecture, including the foundational resource layer, intelligent access layer, on-demand service layer, and business expression layer. …”
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StopSpamX: A multi modal fusion approach for spam detection in social networking by Dasari Siva Krishna, Gorla Srinivas

“…There are no concerns or problems if the data published is true and relevant. The main difficulty arises while we deal with the spam data. …”
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Biomarker discovery by sparse canonical correlation analysis of complex clinical phenotypes of tuberculosis and malaria. by Juho Rousu, Daniel D Agranoff, Olugbemiro Sodeinde, John Shawe-Taylor, Delmiro Fernandez-Reyes

“…Biomarker discovery aims to find small subsets of relevant variables in 'omics data that correlate with the clinical syndromes of interest. …”
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