STBNA-YOLOv5: An Improved YOLOv5 Network for Weed Detection in Rapeseed Field by Tao Tao, Xinhua Wei

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Using artificial intelligence for sustainable crop production – a comprehensive review with a focus on potato production by Magdalena Piekutowska

“…High technology costs and the need for extensive education and training for farmers can hinder widespread AI adoption. …”
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Continuous Glucose Monitoring: A Transformative Approach to the Detection of Prediabetes by Liu X, Zhang J

“…Despite challenges such as cost and the need for effective utilization through training and education, CGM’s potential to revolutionize prediabetes management is evident. …”
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Introduction to the Special Thematic Issue "Virtual Reality and Eye Tracking" by Béatrice Hasler, Rudolf Groner

“…Simultaneously, eye tracking in VR poses new challenges to gaze analyses and requires the establishment of new tools and best practices in gaze interaction and psychological research from controlling influence factors, such as simulator sickness, to adaptations of algorithms in various situations. This thematic special issue introduces and discusses novel applications, challenges and possibilities of eye tracking and gaze interaction in VR from an interdisciplinary perspective, including contributions from the fields of psychology, human-computer interaction, human factors, engineering, neuroscience, and education. …”
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Facilitate Sustainable Architecture Through Computational Integration: A Three-Phase Framework by Passaint Massoud

“…The first phase, the Smart Learning Design Studio, Custom programmed algorithms are used to enhance the learning process in architectural education. …”
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A simultaneous post-LASIK sequential bilateral implantation of multifocal IOLs aimed at refraction correction. A clinical case by E. N. Eskina, A. V. Belogurova, A. I. Fisenko

“…The compliance with the modified algorithms of pre-and intraoperative behavior of the operating team, thorough preparation of the patient, careful calculation of the IOL allowed us to obtain the predictive refractive result with a high level of visual satisfaction and absence of undesirable postoperative phenomena. …”
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Neurotechnological Approaches to Cognitive Rehabilitation in Mild Cognitive Impairment: A Systematic Review of Neuromodulation, EEG, Virtual Reality, and Emerging AI Applications by Evgenia Gkintoni, Stephanos P. Vassilopoulos, Georgios Nikolaou, Apostolos Vantarakis

“…Emerging AI applications showed potential for personalized assessment and intervention through predictive modeling and adaptive algorithms. <i>Conclusions:</i> Neurotechnological approaches offer promising avenues for MCI rehabilitation, with the most substantial evidence for integrated interventions targeting multiple mechanisms. …”
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Modeling Topic-Specific Influential Users in QA Forums Using Association Rule Mining by Umar Ishfaq, Tassawar Ali, Ali Daud, Mohammed Alreshoodi, Azeem Irshad

“…This paper incorporates association rule mining (ARM) based algorithms, that are mostly used for market-basket analysis, for exploring the behavior of users and predict their participation in social interactions. …”
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iCARE: An R package to build, validate and apply absolute risk models. by Parichoy Pal Choudhury, Paige Maas, Amber Wilcox, William Wheeler, Mark Brook, David Check, Montserrat Garcia-Closas, Nilanjan Chatterjee

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Theoretical open-loop model of respiratory mechanics in the extremely preterm infant. by Laura Ellwein Fix, Joseph Khoury, Russell R Moores, Lauren Linkous, Matthew Brandes, Henry J Rozycki

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The relationship between low perceived numeracy and cancer knowledge, beliefs, and affect. by Katherine Ross, Justin Stoler, Nick Carcioppolo

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Committee Machine Learning for Electrofacies-Guided Well Placement and Oil Recovery Optimization by Adewale Amosu, Dung Bui, Oluwapelumi Oke, Abdul-Muaizz Koray, Emmanuel Appiah Kubi, Najmudeen Sibaweihi, William Ampomah

“…In this study, we develop a workflow that mitigates the variability in results produced by different clustering algorithms using a committee machine. Using several unsupervised machine learning methods, including k-means, k-median, hierarchical clustering, spectral clustering, and the Gaussian mixture model, we predict electrofacies from wireline well log data and generate their 3D vertical and lateral distributions and inferred geological properties. …”
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A learning trajectory for developing computational thinking in prospective mathematics teachers through Python programming in Google Colab by Edi Irawan, Moh. Khoridatul Huda, Ratni Purwasih

“…The results showed that HLT, designed in stages, improved the four main components of CT: decomposition, abstraction, pattern recognition, and algorithmic thinking. The students experienced improvements in breaking down problems, devising more efficient solutions, recognising patterns in code structures, and systematically designing algorithms. …”
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Time-series high spatio-temporal resolution vegetation leaf area index estimation based on NDVI trends by Chen Li, Hongmin Zhou, Jia Tang, Changjing Wang, Ziyu Wang, Jinlin Qi, Bihong Yang, Ruojing Fang

“…Vegetation leaf area index (LAI) data with continuous spatio-temporal coverage are crucial for monitoring vegetation growth, predicting crop yields, and studying global environmental changes. …”
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Structures, dynamics, and hydrogen-bond interactions of antifreeze proteins in TIP4P/Ice water and their dependence on force fields. by Hwankyu Lee

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The effect of cell geometry on polarization in budding yeast. by Michael Trogdon, Brian Drawert, Carlos Gomez, Samhita P Banavar, Tau-Mu Yi, Otger Campàs, Linda R Petzold

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An online 11 kv distribution system insulator defect detection approach with modified YOLOv11 and mobileNetV3 by Arnav Bhagwat, Soham Dutta, Debdeep Saha, Maddikara Jaya Bharata Reddy

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Learning from Octopuses: Cutting-Edge Developments and Future Directions by Jinjie Duan, Yuning Lei, Jie Fang, Qi Qi, Zhiming Zhan, Yuxiang Wu

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Application of Machine Learning Technologies for Managing Multifactor Threats in an Integrated Model of Cognitive Security Center at Defense Industry Enterprise by Pavel Panilov, Tatiana Tsibizova

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Quality of a fished resource: Assessing spatial and temporal dynamics. by Sarah J Teck, Julio Lorda, Nick T Shears, Tal Ben-Horin, Rebecca E Toseland, Sarah T Rathbone, Dave Rudie, Steven D Gaines

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