Multi-scale attention-enhanced deep learning approach for detecting seven trunk pests and diseases in Shanghai’s urban plane trees by Tianyang Song, Guohua Hu, Tianci Yu, Xing Meng, Yanting Zhang, Ruiqing Yang, Benyao Wang, Xia Li

“…This study introduces an enhanced YOLOv8-based detection framework to address multi-scale variability in pest and disease datasets. …”
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Accurate Sugarcane Detection and Row Fitting Using SugarRow-YOLO and Clustering-Based Spline Methods for Autonomous Agricultural Operations by Guiqing Deng, Fangyue Zhou, Huan Dong, Zhihao Xu, Yanzhou Li

“…This method achieved 96.6% in the task, with high precision in sugarcane target detection and demonstrates excellent accuracy in sugarcane row fitting, offering robust technical support for the automation and intelligent advancement of agricultural operations.…”
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Sentiment analysis of news: unveiling AI’s role in sustainability and no poverty (SDG1) by Robin Kunju Mol Raj, Marek Vochozka, S Sujatha

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Functional gastrointestinal disorders predictors in neonates and toddlers: A machine learning approach to risk assessment by Flavia Indrio, Elio Masciari, Flavia Marchese, Matteo Rinaldi, Gianfranco Maffei, Ilaria Gangai, Assunta Grillo, Roberta De Benedetto, Enea Vincenzo Napolitano, Isadora Beghetti, Luigi Corvaglia, Antonio Di Mauro, Arianna Aceti

“…Some discrepancies between potential risk factors identified through conventional statistics and AI were detected. Conclusion: For the first time machine learning allowed to identify BW, cord blood pH and maternal age as important variable for risk prediction of FGIDs in the first year of life. …”
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Computer-Aided Evaluation of Interstitial Lung Diseases by Davide Colombi, Maurizio Marvisi, Sara Ramponi, Laura Balzarini, Chiara Mancini, Gianluca Milanese, Mario Silva, Nicola Sverzellati, Mario Uccelli, Francesco Ferrozzi

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Scalable Nuclei Detection in HER2-SISH Whole Slide Images via Fine-Tuned Stardist with Expert-Annotated Regions of Interest by Zaka Ur Rehman, Mohammad Faizal Ahmad Fauzi, Wan Siti Halimatul Munirah Wan Ahmad, Fazly Salleh Abas, Phaik-Leng Cheah, Seow-Fan Chiew, Lai-Meng Looi

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Machine Learning Creates a Simple Endoscopic Classification System that Improves Dysplasia Detection in Barrett’s Oesophagus amongst Non-expert Endoscopists by Vinay Sehgal, Avi Rosenfeld, David G. Graham, Gideon Lipman, Raf Bisschops, Krish Ragunath, Manuel Rodriguez-Justo, Marco Novelli, Matthew R. Banks, Rehan J. Haidry, Laurence B. Lovat

“…Endoscopic surveillance is performed to detect dysplasia arising in BE as it is likely to be amenable to curative treatment. …”
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Diagnostic accuracy of CADe-assisted reading versus clinician reading for polyp detection in colon capsule endoscopy: a multicentre prospective study by Ian Io Lei, Nicolas Parsons, Cristiana Huhulea, Hagen Wenzek, Elizabeth White, Pablo Laiz, Charlie Noble, Alexander Robertson, Anastasios Koulaouzidis, Ramesh Arasaradnam

“…Artificial intelligence (AI) has shown the potential to improve the diagnostic accuracy of polyp detection and reduce reading times in capsule endoscopy.1–3 Objectives: The primary aim was to assess the diagnostic accuracy of Computer-Aided Detection (CADe) system (AiSPEED™)-assisted CCE reading using full-video analysis in a real-world clinical setting. …”
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Automated Detection of Schizophrenia Based on Retinal Measures and Neurological Soft Signs: Applications of Interpretable Classification Methods and the Choquet Integral Aggregatio... by Pawel Krukow, Steven M. Silverstein, Pawel Karczmarek, Adam Domagala, Adam Kiersztyn, Malgorzata Plechawska-Wojcik, Maria Garcia Gadanon, Kamil Jonak

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AI in 2D Mammography: Improving Breast Cancer Screening Accuracy by Sebastian Ciurescu, Simona Cerbu, Ciprian Nicușor Dima, Florina Borozan, Raluca Pârvănescu, Diana-Gabriela Ilaș, Cosmin Cîtu, Corina Vernic, Ioan Sas

“…Two-dimensional (2D) mammography is the established standard for breast cancer screening; however, its diagnostic accuracy is limited by factors such as breast density and inter-reader variability. Recent advances in artificial intelligence (AI) have shown promise in enhancing radiological interpretation. …”
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Prediction of Soil Carbon Sequestration in Rangelands Regarding the Depth and Elevation of Sample Locations using Adaptive Neuro-Fuzzy Inference System (ANFIS) (Case Study: Lar Wat... by zeinab jafarian, zhila ghorbani

“…Knowing about carbon reservoir distribution and changes for detecting the controller mechanisms of the carbon world cycle and carbon stability is vital for managing ranges. …”
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DMSF-YOLO: A Dynamic Multi-Scale Fusion Method for Maize Tassel Detection in UAV Low-Altitude Remote Sensing Images by Dongbin Liu, Jiandong Fang, Yudong Zhao

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A novel damage detection method based on sequential iteration and Gaussian mixture model for structural health monitoring under environmental effects by Jie-zhong Huang, Jian Yang, Dong-sheng Li, Wei-chen Kong, Ya-fei Wang

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Communicative Personality Characteristics and Evaluation of AI-Generated Photos by Inna V. Vasilieva, Anastasia N. Asafova, Darya S. Grischenko

“…Background. Artificial intelligence (AI) technologies are advancing at an incredible pace, becoming accessible to users. …”
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A survey: Breast Cancer Classification by Using Machine Learning Techniques by Ruaa Hassan Mohammed Ameen, Nasseer Moyasser Basheer, Ahmed Khazal Younis

“…Using automated feature extraction and classification algorithms, physicians' experience in diagnosing and detecting breast cancer can be aided. This paper focuses on various statistical and machine learning studies of mammography datasets for enhancing the accuracy of breast cancer diagnosis and classification based on various variables. …”
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Low-Cost Hyperspectral Imaging in Macroalgae Monitoring by Marc C. Allentoft-Larsen, Joaquim Santos, Mihailo Azhar, Henrik C. Pedersen, Michael L. Jakobsen, Paul M. Petersen, Christian Pedersen, Hans H. Jakobsen

“…HSI emerges as a powerful tool in this context, due to its ability to detect pigment-characteristic fingerprints that are often missed altogether by standard RGB cameras. …”
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Electrocardiographic sex index: a continuous representation of sex by Ibrahim Karabayir, Turgay Celik, Luke Patterson, Liam Butler, David Herrington, Oguz Akbilgic

“…Abstract Clinical risk calculators consider sex as a binary variable. However, sex is a complex trait with anatomic, physiologic, and metabolic attributes that are not easily summarized in this manner [1]. …”
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Multi-Channel Fusion Decision-Making Online Detection Network for Surface Defects in Automotive Pipelines Based on Transfer Learning VGG16 Network by Jian Song, Yingzhong Tian, Xiang Wan

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Computer Vision Meets Generative Models in Agriculture: Technological Advances, Challenges and Opportunities by Xirun Min, Yuwen Ye, Shuming Xiong, Xiao Chen

“…The integration of computer vision (CV) and generative artificial intelligence (GenAI) into smart agriculture has revolutionised traditional farming practices by enabling real-time monitoring, automation, and data-driven decision-making. …”
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Improving Oil Pipeline Surveillance with a Novel 3D Drone Simulation Using Dynamically Constrained Accumulative Membership Fuzzy Logic Algorithm (DCAMFL) for Crack Detection by Omar Saber Muhi, Hameed Mutlag Farhan, Sefer Kurnaz

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