RECONFIGURATION OF THE AIRCRAFT INTEGRATED CONTROL SYSTEM REGARDING CONTROL CONSTRAINTS UNDER ACTUATOR FAILURES by A. M. Kulchak, V. V. Kosyanchuk, E. Yu. Zybin

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Use of satellite data for detecting icebergs and evaluating the iceberg threats by I. A. Bychkova, V. G. Smirnov

“…Te main objective of the research is to develop methods for detecting icebergs using satellite radar data and high space resolution images in the visible spectral range. …”
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Integrating Machine Learning for Enhanced Agricultural Productivity: A Focus on Bananas and Arecanut in the Context of India’s Economic Growth by B. S. Saruk, G. Mokesh Rayalu

“…The research focuses on analysing the complex characteristics of the agricultural industry, with a particular emphasis on the nutritional importance of tropical fruits, notably bananas and arecanut. …”
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COSMIC-Based Early Software Size Estimation Using Deep Learning and Domain-Specific BERT by Yohannes Sefane Molla, Esubalew Alemneh, Samuel Temesgen Yimer

“…In this study, we proposed an automated COSMIC-based early software size estimation approach using a domain-specific BERT called RE-BERT and deep learning algorithms. Two major experiments were employed in the research: the first was further pretraining of the generic BERT model over requirement engineering domain texts to produce a domain-specific pre-trained model called RE-BERT, while the second experiment was developing a deep learning regressor model for COSMIC size estimations using RE-BERT. …”
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Comparative study on Functional Machine learning and Statistical Methods in Disease detection and Weed Removal for Enhanced Agricultural Yield by Sudha D., Menaga D.

“…The technology has developed to rectify the problems using some machine learning algorithms like Random Forest algorithms, Decision trees, Naïve Bayes, KNN, K-Means clustering, Support vector machines. …”
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A novel stemness-related lncRNA signature predicts prognosis, immune infiltration and drug sensitivity of clear cell renal cell carcinoma by Jia Liu, Lin Yao, Yong Yang, Jinchao Ma, Ruijian You, Ziyi Yu, Peng Du

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Comparative analysis of the diagnostyc value of CT and MRI in the assessment of peritoneal carcinomatosis in ovarian cancer by Yu. A. Soloveva, N. A. Rubtsova, E. G. Novikova, D. O. Kabanov, S. A. Skugarev

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Mixed nontuberculous mycobacteria in an immunocompromised patient with progressive multifocal leukoencephalopathy by Dr Christoffel Opperman, Dr Janet Scott, Dr Aliasgar Esmail, Dr Sarishna Singh, Mr Yonas Ghebrekristos, Prof Rob warren, Dr Wynand Goosen

“…LPAs could potentially overlook subpopulations in NTM mixtures, as shown in previous research. In this regard, next-generation sequencing and metagenomics have demonstrated superiority over DNA-DNA hybridization platforms (LPAs) in identifying NTM mixtures, suggesting their integration into diagnostic algorithms. …”
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Editorial by Bulent Cavas

“…This issue features 11 original research articles that highlight contemporary developments, challenges, and opportunities in science education. …”
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Efficiency and safety of the Russian-made KERATOLINK device used to treat patients with stage I–II keratoconus and pellucid marginal corneal degeneration by A. T. Khandzhyan, E. N. Iomdina, A. V. Ivanova, A. S. Sklyarova, N. V. Khodzhabekyan, I. V. Manukyan

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Fc-Binding Cyclopeptide Induces Allostery from Fc to Fab: Revealed Through in Silico Structural Analysis to Anti-Phenobarbital Antibody by Tao Zhou, Huiling Zhang, Xiaoting Yu, Kangliang Pan, Xiaojun Yao, Xing Shen, Hongtao Lei

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Adaptation of Digital Perception Service and Communication Technologies for Local Communication Network of Urban Grid by Cheng ZHONG, Di ZHAI, Yang LU, Jingyi FAN, Xiaobo LIU, Xinyue ZHANG, Xiongwen ZHAO

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Robust Cross-Validation of Predictive Models Used in Credit Default Risk by Jose Vicente Alonso, Lorenzo Escot

“…While many methodologies have been developed, cross-validation is perhaps the most widely accepted, often being part of the model development process by optimizing the hyperparameters of predictive algorithms. This experimental research focuses on evaluating existing robust cross-validation variants to address the issues of validating credit default models. …”
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Precision Weeding in Agriculture: A Comprehensive Review of Intelligent Laser Robots Leveraging Deep Learning Techniques by Chengming Wang, Caixia Song, Tong Xu, Runze Jiang

“…This paper provides a comprehensive review of recent research on laser weeding applications using intelligent robots. …”
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Toward automatic and reliable evaluation of human gastric motility using magnetically controlled capsule endoscope and deep learning by Xueshen Li, Yu Gan, David Duan, Xiao Yang

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The Role of Time in Facial Dynamics and Challenges in Automatic Emotion Recognition (2019–2024) by Williams Contreras-Higuera, Lucrezia Crescenzi-Lanna

“…The study provides valuable insights for selecting appropriate algorithms that are tailored to specific research objectives and contexts.…”
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Using computational models of learning to advance cognitive behavioral therapy by Isabel M. Berwian, Peter Hitchock, Sashank Pisupati, Gila Schoen, Yael Niv

“…Finally, we outline how the understanding of interventions through the lens of learning algorithms can inform intervention research.…”
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Fairness in focus: quantitative insights into bias within machine learning risk evaluations and established credit models by Jacob Ford

“…Given the expanding literature in a nascent field, an example of how leading bias indicators could be aggregated and deployed to evaluate the fairness of a machine learning tool would prove useful for future data scientists. This research addresses how algorithmic bias may be quantified by conducting a case study of a machine learning alternative credit risk metric, comparing threshold effects for various protected classes contrasted with a conventional credit score (FICO). …”
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A survey on surface reconstruction based on 3D Gaussian splatting by Zheng Xu, Gang Chen, Feng Li, Lingyu Chen, Yuanhang Cheng

“…Surface reconstruction is a foundational topic in computer graphics and has gained substantial research interest in recent years. With the emergence of advanced neural radiance fields (NeRFs) and 3D Gaussian splatting (3D GS), numerous innovative many novel algorithms for 3D model surface reconstruction have been developed. …”
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Preface to Special Issue on AI-Based Future Intelligent Networks and Communication Security by Sunil Kumar, Glenford Mapp, Abhay Bansal, Korhan Cengiz

“… Recent advancements in science focus on the study and development of algorithms that can learn from and make predictions and decisions based on data collected through intelligent devices. …”
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