Long Short-Term Memory-Based Computerized Numerical Control Machining Center Failure Prediction Model by Jintak Choi, Zuobin Xiong, Kyungtae Kang

“…Using continuous learning based on long short-term memory (LSTM), the system enables anomaly detection, failure prediction, cause analysis, root cause identification, remaining useful life (RUL) prediction, and optimal maintenance timing decisions. …”
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Construction and Comprehensive Prognostic Analysis of a Novel Immune-Related lncRNA Signature and Immune Landscape in Gastric Cancer by Xiaolong Liang, Lang Zha, Gangfeng Yu, Xiong Guo, Chuan Qin, Anqi Cheng, Ziwei Wang

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Role of Bioinformatics in Agriculture by M. N. V. Prasad Gajula, Anuj Kumar, E. A. Siddiq, A. K. Polumetla

“…Bioinformatics is the use of computer technology, mathematical algorithms, and statistics with concepts in the life sciences to solve biological problems. …”
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Graph-based two-level indicator system construction method for smart city information security risk assessment by Li Yang, Kai Zou, Yuxuan Zou

“…The rapid development of urban informatization has led to a deep integration of advanced information technology into urban life. Many decision-makers are starting to alleviate the adverse effects of this informatization process through risk assessment. …”
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Artificial intelligence in educational technology and transformative approaches to English language using fuzzy framework with CRITIC-TOPSIS method by Jingdan Liu, Xujie Bao, Liji Chen

“…Abstract Artificial intelligence (AI) is transforming educational technology by enabling personalized, adaptive, and data-driven learning experiences. Machine learning algorithms analyze student performance to tailor content delivery, while natural language processing facilitates interactive learning through voice assistants and essay evaluation. …”
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The Peculiarity of Process and Treatment of Arterial Hypertension in Patients with Type 2 Diabetes Mellitus by T. Yu. Demidova, O. A. Kislyak

“…In this article we want to pay attention to features of AH in patients with diabetes, to bi-directional pathogenic mechanisms, to discuss the new algorithms of the treatment and therapeutic needs of these patients. …”
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Enhancing Coverage and Efficiency in Wireless Sensor Networks: A Review of Optimization Techniques by Rajasekaran S, Shaik Mastan Vali

“…However, achieving full coverage in WSNs presents significant challenges due to resource constraints, such as limited battery life, processing capabilities, and environmental factors like terrain and obstacles. …”
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A Complex Clinical Situation in Polycystic Ovary Syndrome: HAIR-AN Syndrome ‘‘Case Report’’ by Ramin Alizadeh Gheshlagh, Senay Topsakal

“…Bioinformatics tools and in silico algorithms were used to assess the impact of the variants. …”
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Design and experimental validation of MMM-based pipeline stress concentration detection system by Deng Gong, Lunwu Zhao, Gang Han

“…An embedded hardware system was designed using the S3C2140 ARM processor, combined with a high-sensitivity magnetic sensor array, an embedded Linux software suite, and standardized evaluation algorithms compliant with GB/T 35090-2018. This system ensures real-time monitoring, portability, and automated stress concentration identification. …”
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Methodologies for estimating emissions from road transport and comparison with the inventory air emissions (INEMAR). The case of Pavia Province by Marilisa Moretti, Roberto De Lotto

“…According to the actual portrait of emissions (Arpa Lombardia), it is necessary to improve the quality of life and the environment, minimizing emissions into the atmosphere from this sector, implementing specific actions by society and institutions. …”
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Machine Learning and Medical Data: Predicting ICU Mortality and Re-admission Risks by Runia Roy, Ulya Bayram

“…Four machine learning algorithms are applied to the finalized feature set to understand the difference between the binary and the multi-class classification problems. …”
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Latest Trend and Challenges in Machine Learning– and Deep Learning–Based Computational Techniques in Poultry Health and Disease Management: A Review by Shwetha V., Maddodi B. S., Vijaya Laxmi, Abhinav Kumar, Sakshi Shrivastava

“…The advancement of machine learning (ML)– and deep learning (DL)–based algorithms are boons for poultry health and disease management. …”
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Mapping Cell Identity from scRNA-seq: A primer on computational methods by Daniele Traversa, Matteo Chiara

“…However, depending on the underlying algorithmic approach and associated computational requirements, each method might have a specific range of application, with implications that are not always clear to the end user. …”
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Comparing AI-Generated Stimuli and Photos: Visual Search Study by Frol A. Sapronov, Elena S. Gorbunova

“…Background. AI algorithms have rapidly entered everyday life in the last few years, which caused the appearance of a large number of both texts and images generated by neural networks. …”
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Mediatization of collective testimonies during the Russian-Ukrainian War 2022-2023 by Oksana Hudoshnyk, Oleksandr-P. Krupskyi, Nataliia Styrnik

“…Social networks, digital platforms, online museums, YouTube channels and messengers determine the algorithms for the formation of the collective discourse of war, radically transforming the Ukrainian media landscape. …”
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Passive localization based on radio tomography images with CNN model utilizing WIFI RSSI by Muhammad Jabbar, Umar Shoaib

“…We have developed and thoroughly examined the working of radio tomography generation algorithms and present a deep learning approach using a convolutional neural network (CNN) to address the inverse problem. …”
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Diabetes diagnosis using a hybrid CNN LSTM MLP ensemble by Yanmin Fan

“…Diabetes can be treated and a good life can be led with early diagnosis. The conventional method of identifying diabetes utilizing clinical and physical data is laborious, hence an automated method is required. …”
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Epidemiology and Prognosis of Progressive Pulmonary Fibrosis: A Literature Review by Ignacio Español Montero, Fernanda Hernandez-Gonzalez, Jacobo Sellares

“…Understanding disease progression in the broad spectrum of potentially progressive ILDs is key for developing standardized management algorithms irrespective of the ILD diagnosis. Current evidence points towards the potential beneficial effect of antifibrotic drugs in lung function decline and overall outcomes in several non-IPF progressive ILDs showing progression despite optimal management.…”
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Wooden Structures in Sustainable Design: AI-Based Energy Efficiency and Environmental Impact by Çağlar Altay, Mustafa Küçüktüvek

“…Life Cycle Analysis (LCA) has determined that the carbon storage capacity of wooden structures is superior to traditional materials such as steel and concrete. …”
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Genetic fuzzy system for prediction of respiratory rate of chicks subject to thermal challenges by Patrícia F. P. Ferraz, Tadayuki Yanagi Junior, Yamid F. Hernandez-Julio, Gabriel A. e S. Ferraz, Maria A. J. G. Silva, Flavio A. Damasceno

“…ABSTRACT The aim of this study was to estimate and compare the respiratory rate (breath min-1) of broiler chicks subjected to different heat intensities and exposure durations for the first week of life using a Fuzzy Inference System and a Genetic Fuzzy Rule Based System. …”
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