Not seeing the trees for the forest. The impact of neighbours on graph-based configurations in histopathology by Olga Fourkioti, Matt De Vries, Reed Naidoo, Chris Bakal

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A Sizer model for cell differentiation in Arabidopsis thaliana root growth by Irina Pavelescu, Josep Vilarrasa‐Blasi, Ainoa Planas‐Riverola, Mary‐Paz González‐García, Ana I Caño‐Delgado, Marta Ibañes

“…Abstract Plant roots grow due to cell division in the meristem and subsequent cell elongation and differentiation, a tightly coordinated process that ensures growth and adaptation to the changing environment. …”
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Evaluation of the effectiveness of treatment of chronic apical periodontitis with the use of high-intensity laser irradiation and platelet autoplasma by L. P. Gerasimova, A. F. Yusupovа, I. N. Usmanova, A. P. Sorokin

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The DFA/DFT‐based hacking techniques and countermeasures: Case study of the 32‐bit AES encryption crypto‐core by Mouna Karmani, Noura Benhadjyoussef, Belgacem Hamdi, Mohsen Machhout

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Photogrammetry engaged automated image labeling approach by Jonathan Boyack, Jongseong Brad Choi

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Plantention: A general-purpose, lightweight and attention-based model for multi-crop leaf disease classification by Brindha Subburaj, Rohan M, Samhruth Ananthanarayanan, Daehan Won

“…Most computerized methods involve some form of Deep Learning algorithms and models to automate the detection process. Although these models need large amounts of data to operate, their accuracy and precision far beat traditional machine learning methods. …”
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Rapid ecological data collection from 360‐degree imagery using visualisation and immersive sampling in the R pannotator package by Robert Godfree, Nunzio Knerr

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A CT-based interpretable deep learning signature for predicting PD-L1 expression in bladder cancer: a two-center study by Xiaomeng Han, Jing Guan, Li Guo, Qiyan Jiao, Kexin Wang, Feng Hou, Shunli Liu, Shifeng Yang, Chencui Huang, Wenbin Cong, Hexiang Wang

“…Finally, the internal forecasting process of the DL signature was explained using Shapley additive explanation technology. …”
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Text-guided RGB-P grasp generation by Van Duc Vu, Van Thiep Nguyen, Nam Hai Pham, Dinh-Cuong Hoang, Phan Xuan Tan

“…Although state-of-the-art computer vision-based models have made significant progress in predicting grasps, the lack of semantic information from textual data makes them susceptible to ambiguities in object recognition. …”
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Age estimation from morphometric features of maxillary central incisors using CBCT images by Sara Hilmi Kazzaz, Tavga Mustafa Faris, Miwan Salahalddin Abdulrahman, Mohammed Taha Ahmed Baban, Ranjdar Mahmood Talabani, Kazhan Omer Abdalrahman

“…Abstract Background Forensic dentistry is crucial in human identification, with dental age estimation being a key component of this process. The deposition of secondary dentin over an individual’s lifetime, along with the resulting changes in tooth anatomy, serves as an important factor in age estimation. …”
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A bibliometric review on in silico drug repurposing: Performance analysis, science mapping and text mining (2000–2023) by Alejandro I. Trejo-Castro, Emmanuel Martinez-Ledesma, Antonio Martinez-Torteya

“…Drug repositioning is a technique to investigate whether a drug already approved for one disease will function for another disease not included in the original design. This process has attracted much interest in the last two decades because it is less time-consuming and more cost-efficient than traditional drug discovery. …”
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Numerical simulation of seismic stress evolution in the Lajishan Fault zone on the northeastern margin of the Qinghai-Xizang Plateau by Haitao Qin, Guangliang Yang, Chang Liu, Jianquan Chen, Yaolin Shi, Hengzhou Meng

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Current aspects of diagnostics and surgical treatment of acute lung abscesses by V. I. Pertsov, S. I. Savchenko

“…The sensitivity and specificity of computed tomography was 64.3 % and 100.0 %, sonography – 85.7 % and 92.3 %, respectively, in the study. …”
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Evaluating enrichment use in group-housed rhesus macaques (Macaca mulatta): A machine learning approach by Giulia Ciminelli, Claire Witham, Melissa Bateson

“…To streamline the time-intensive task of assessing enrichment programmes we automated the evaluation process by using machine learning technologies. We built two computer vision-based pipelines to evaluate monkeys’ interactions with different enrichment items: a white drum containing raisins and a non-food-based puzzle. …”
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Measurement of the accuracy of dental working casts using a coordinate measuring machine by Potran Michal, Štrbac Branko, Puškar Tatjana, Hadžistević Miodrag, Hodolič Janko, Trifković Branka

“…Casting an accurate and precise working cast presents the first and very important step, since each of the following stages contributes to the overall error of the production process, which can lead to inadequately fitting dental restorations. …”
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Tomato classification with YOLOv8: Enhancing automated sorting and quality assessment by Viviana Moya, Michael Guerra, Karina Pazmiño, Faruk Abedrabbo, Fernando A. Chicaiza, David Pozo-Espín

“…The proposed system integrates computer vision and deep learning with a physical sorting mechanism to categorize tomatoes into three classes: green, red, and damaged, while also determining their size. …”
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Automating field‐based floral surveys with machine learning by Nicholas Sookhan, Shane Sookhan, Devlin Grewal, J. Scott MacIvor

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Violence Detection From Industrial Surveillance Videos Using Deep Learning by Hamza Khan, Xiaohong Yuan, Letu Qingge, Kaushik Roy

“…Unlike traditional methods that process all frames indiscriminately, this targeted filtering mechanism allows computational resources to be allocated more effectively. …”
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Rationally minimizing natural product libraries using mass spectrometry by Monica Ness, Thilini Peramuna, Karen L. Wendt, Jennifer E. Collins, Jarrod B. King, Raphaella Paes, Natalia Mojica Santos, Crystal Okeke, Cameron R. Miller, Debopam Chakrabarti, Robert H. Cichewicz, Laura-Isobel McCall

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Granularity at Scale: Estimating Neighborhood Socioeconomic Indicators From High-Resolution Orthographic Imagery and Hybrid Learning by Ethan Brewer, Giovani Valdrighi, Parikshit Solunke, Joao Rulff, Yurii Piadyk, Zhonghui Lv, Jorge Poco, Claudio Silva

“…Concurrent with improved sensor resolutions, recent advancements in machine learning and computer vision have made it possible to quickly extract features from and detect patterns in image data, in the process correlating these features with other information. …”
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