Embedding Fear in Medical AI: A Risk-Averse Framework for Safety and Ethics by Andrej Thurzo, Vladimír Thurzo

“…In today’s high-stakes arenas—from healthcare to defense—algorithms are advancing at an unprecedented pace, yet they still lack a crucial element of human decision-making: an instinctive caution that helps prevent harm. …”
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A hybrid theoretical–numerical–experimental framework for robust health monitoring of thin-walled hollow composite members using guided waves by Akshay Prakash Kalgutkar, Shirsendu Sikdar, Sauvik Banerjee, Karl Walton, Rakesh Mishra

“…This study introduces a hybrid -numerical–experimental framework for robust detection and characterisation of barely visible damage in HCM using guided waves (GW). …”
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Implementation of a wireless sensor network for irrigation management in drip irrigation systems by Mehmet Kamil Meriç

“…The hardware and software designs of the soil moisture monitoring and valve control nodes were created, including the selection of components, specific functionalities of software algorithms, and communication protocols used for data transmission. …”
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A human pose estimation network based on YOLOv8 framework with efficient multi-scale receptive field and expanded feature pyramid network by Shaobin Cai, Han Xu, Wanchen Cai, Yuchang Mo, Liansuo Wei

“…Abstract Deep neural networks are used to accurately detect, estimate, and predict human body poses in images or videos through deep learning-based human pose estimation. …”
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Artificial Intelligence Precision Recognition and Auxiliary Diagnosis of Dental X-ray Panoramic Images Based on Deep Learning by Liu Riming, Gao Zhenshan

“…Objective: This study aims to explore the application of deep learning algorithms in dental X-ray panoramic images, particularly for the automatic segmentation of dental caries and identification of wisdom tooth types, in order to improve the accuracy and efficiency of dental diagnosis and assist doctors in formulating precise treatment plans. …”
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3D Façade Element Extraction from Image-based Instance Segmentation and Scale-Invariant Object Contour Points by F. Frank, V. Shah, S. Worbis, L. Hoegner

“…The images are processed using instance segmentation with YOLOv8 and SAM, complemented by classical and enhanced algorithms for line and edge detection. The SIOCP method refines object contour lines from instance segmentation by incorporating LoD2 building data and 6DoF information. …”
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Constitutional-Legal Aspect of Creating Large Language Models: the Problem of Digital Inequality and Linguistic Discrimination by I. G. Ilin

“…While direct forms of discrimination can be detected in predictive algorithms, generative models create more subtle but no less significant cumulative effects. …”
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Fault analysis of railway track superstructure using time-frequency method from vibrational data by Shahzor Memon, Imtiaz Hussain, Lubna Moin

“…The safety and operational efficiency of railroads could be improved by further research that combines these time-frequency characteristics with machine learning algorithms to increase fault detection accuracy and create monitoring systems for more effective proactive maintenance.…”
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Evaluation and optimization of adaptive cruise control in autonomous vehicles using the car learning to act simulator: A performance evaluation under various weather conditions by Roza Al-Hindawi, Taqwa Alhadidi

“…Therefore, this study used the Hill Climb (HC) and Tabu Machine Learning (ML) algorithms to optimize the speed of the ego vehicle to maintain a safe spacing distance between it and the leading vehicle by training and developing CARLA using a Bayesian Network (BN).…”
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A Systematic Survey of Machine Learning and Deep Learning Models Used in Industrial Internet of Things Security by Ersin Enes Eryılmaz, Erdal Kılıç, Yankı Ertek, Sedat Akleylek

“…Security measures such as patch management, access control, network monitoring, authentication, service isolation, encryption, unauthorized entry detection, and application security are implemented for IIoT networks and devices. …”
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Fuzzy-Based Fusion Model for β-Thalassemia Carriers Prediction Using Machine Learning Technique by Muhammad Ibrahim, Sagheer Abbas, Areej Fatima, Taher M. Ghazal, Muhammad Saleem, Meshal Alharbi, Fahad Mazaed Alotaibi, Muhammad Adnan Khan, Muhammad Waqas, Nouh Elmitwally

“…A machine learning-based late fusion model proposes the detection of beta-thalassemia carriers by analyzing red blood cells. …”
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Assessment of the applicability of multi-satellite precipitation products on the Loess Plateau over the past four decades by Rui Liu, Liu Yang, Zhengguo Shi, Mengdao Xing

“…The findings indicate that the CPC is the most suitable product for inverting daily precipitation on the LP, with the highest correlation coefficient of 0.774 between CPC and observations, and the highest Probability of Detection of 0.667. This is attributed to the stable data sources and excellent algorithms used by CPC. …”
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Novel integrated computational AMP discovery approaches highlight diversity in the helminth AMP repertoire. by Allister Irvine, Darrin McKenzie, Ciaran J McCoy, Robert L J Graham, Ciaren Graham, Sharon A Huws, Louise E Atkinson, Angela Mousley

“…This study highlights limitations in the homology-based approaches, used to identify putative nematode AMPs, for the characterisation of flatworm AMPs, and reveals that innovative algorithmic AMP prediction approaches provide an alternative strategy for novel helminth AMP discovery. …”
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The Result of the Treatment of Optic Nerve Edema after COVID-19 by E. E. Ioyleva, A. Yu. Safonenko, A. O. Otyrba, E. S. Loban

“…The COVID-19 epidemic poses several challenges for the ophthalmological community: to determine algorithms for timely diagnosis and treatment, as well as to ensure the prevention of complications from the organ of vision in patients who have undergone COVID-19. …”
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Dynamic Collaborative Optimization Method for Real-Time Multi-Object Tracking by Ziqi Li, Dongyao Jia, Zihao He, Nengkai Wu

“…Multi-object tracking still faces significant challenges in complex conditions such as dense scenes, occlusion environments, and non-linear motion, especially regarding the detection and identity maintenance of small objects. …”
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Smart city planning focused on the US cities in need of policing innovations and public health safety technologies and strategies by Delores Springs

“…In particular, the article proposes the following for implementation: identifying crime hotspots by means of advanced geographic information systems, applying machine learning algorithms to predict future crime trends, using advanced real-time surveillance technologies and firearms detection systems, applying geospatial analysis to optimise patrol routes, dynamically adjusting patrol routes depending on real-time data analytics, deploying mobile command centres. …”
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Artificial Intelligence Technologies in Criminal Procedural Proving by M. S. Spiridonov

“…A conclusion is substantiated that the assessment of evidences with mathematical algorithms, in which preset values of each evidence quality are used, contradict to the principle of free assessment of evidences in the criminal procedure. …”
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Non-operative management of locally advanced rectal cancer with an emphasis on outcomes and quality of life: a narrative review by In Ja Park

“…Nevertheless, distant metastasis is more frequent in patients who experience regrowth, underscoring the importance of early detection and the need for optimized systemic therapy. …”
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An enhanced deep learning model for accurate classification of ovarian cancer from histopathological images by Anik Kumar Saha, Muntezar Rabbani, Anika Saba Ibte Sum, M. F. Mridha, Md Mohsin Kabir

“…The study examines the most recent Ovarian Cancer classification algorithms in this context to increase prognosis and diagnostic accuracy; our proposed OvCan-FIND model outperforms base models with an exceptional accuracy of 99.74%. …”
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Artificial Intelligence in Pathology: Past, Present, and Future Perspectives by Isma Balaj, Sibora Bërdica, Teona Bushati

“…Conclusion: There has been a significant increase in the development and application of AI tools, including image-based algorithms, in pathology services, and they are expected to dominate the field in the coming years. …”
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