Color fundus photograph-based diabetic retinopathy grading via label relaxed collaborative learning on deep features and radiomics features by Chao Zhang, Guanglei Sheng, Jie Su, Lian Duan

“…IntroductionDiabetic retinopathy (DR) has long been recognized as a common complication of diabetes, making accurate automated grading of its severity essential. Color fundus photographs play a crucial role in the grading of DR. …”
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PseudoCell: Hard Negative Mining as Pseudo Labeling for Deep Learning-Based Centroblast Cell Detection by Narongrid Seesawad, Piyalitt Ittichaiwong, Thapanun Sudhawiyangkul, Phattarapong Sawangjai, Peti Thuwajit, Paisarn Boonsakan, Supasan Sripodok, Kanyakorn Veerakanjana, Komgrid Charngkaew, Ananya Pongpaibul, Napat Angkathunyakul, Narit Hnoohom, Sumeth Yuenyong, Chanitra Thuwajit, Theerawit Wilaiprasitporn

“…<italic>Objective:</italic> To address this limitation, we propose <italic>PseudoCell</italic>, an object detection framework for automated centroblast detection in WSI, eliminating the need for extensive pathologist&#x0027;s refined labels. …”
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Choroidal Thickness Analysis in Patients with Usher Syndrome Type 2 Using EDI OCT by L. Colombo, B. Sala, G. Montesano, C. Pierrottet, S. De Cillà, P. Maltese, M. Bertelli, L. Rossetti

“…Each patient underwent a complete ophthalmologic examination including Best Corrected Visual Acuity (BCVA), intraocular pressure (IOP), axial length (AL), automated visual field (VF), and EDI OCT. Both retinal and choroidal measures were measured. …”
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PHARAOH: A collaborative crowdsourcing platform for phenotyping and regional analysis of histology by Kevin Faust, Min Li Chen, Parsa Babaei Zadeh, Dimitrios G. Oreopoulos, Alberto J. Leon, Ameesha Paliwal, Evelyn Rose Kamski-Hennekam, Marly Mikhail, Xianpi Duan, Xianzhao Duan, Mugeng Liu, Narges Ahangari, Raul Cotau, Vincent Francis Castillo, Nikfar Nikzad, Richard J. Sugden, Patrick Murphy, Safiyh S. Aljohani, Philippe Echelard, Susan J. Done, Kiran Jakate, Zaid Saeed Kamil, Yazeed Alwelaie, Mohammed J. Alyousef, Noor Said Alsafwani, Assem Saleh Alrumeh, Rola M. Saleeb, Maxime Richer, Lidiane Vieira Marins, George M. Yousef, Phedias Diamandis

“…Abstract Deep learning has proven capable of automating key aspects of histopathologic analysis. …”
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Stem and Leaf Segmentation and Phenotypic Parameter Extraction of Tomato Seedlings Based on 3D Point by Xuemei Liang, Wenbo Yu, Li Qin, Jianfeng Wang, Peng Jia, Qi Liu, Xiaoyu Lei, Minglai Yang

“…These findings highlight a robust relationship between manual measurements and the extracted parameters, establishing a technical foundation for high-throughput automated phenotypic parameter extraction in tomato seedlings.…”
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Early detection of sepsis using machine learning algorithms by Rasha M. Abd El-Aziz, Alanazi Rayan

“…This technology-driven approach complements their clinical judgment by aiding healthcare experts in making timely, knowledgeable selections. The ML-SVM machine automates the prediction of sepsis onset with a sensitivity of 91 % and a specificity of 93 %, supplying an accuracy of 95.2 %. …”
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Transient Peripapillary Retinoschisis in Glaucomatous Eyes by Josine van der Schoot, Koenraad A. Vermeer, Hans G. Lemij

“…Participants were measured with spectral domain optical coherence tomography (SD-OCT), scanning laser polarimetry (SLP), scanning laser tomography (SLT), and standard automated perimetry (SAP). The presence of a focal retinoschisis in SD-OCT was observed and correlated to SLP, SLT, and SAP measurements, both cross-sectionally and longitudinally. …”
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Benchmarking human face similarity using identical twins by Shoaib Meraj Sami, John McCauley, Sobhan Soleymani, Nasser Nasrabadi, Jeremy Dawson

“…Abstract The problem of distinguishing identical twins and non‐twin look‐alikes in automated facial recognition (FR) applications has become increasingly important with the widespread adoption of facial biometrics. …”
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Combination Hand-Crafted Features and Semi-Supervised Features Selection From Deep Features for Atrial Fibrillation Detection by Sara Mihandoost

“…However, the current automated detection method for AF has scope for enhancement. …”
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Unveiling microbial communities with EasyAmplicon: A user‐centric guide to perform amplicon sequencing data analysis by Salsabeel Yousuf, Hao Luo, Meiyin Zeng, Lei Chen, Tengfei Ma, Xiaofang Li, Maosheng Zheng, Xin Zhou, Liang Chen, Jiao Xi, Hongye Lu, Huiluo Cao, Xiaoya Ma, Bian Bian, Pengfan Zhang, Jiqiu Wu, Renyou Gan, Baolei Jia, Linyang Sun, Zhicheng Ju, Yunyun Gao, Waqar Afzal Malik, Chuang Ma, Hujie Lyu, Yahui Li, Huiyu Hou, Yuanping Zhou, Defeng Bai, Yao Wang, Haifei Yang, Jiani Xun, Shengda Du, Tianyuan Zhang, Xiulin Wan, Kai Peng, Shanshan Xu, Tao Wen, Tong Chen, Yong‐Xin Liu

“…The widespread adoption of sequencing across diverse fields, coupled with decreasing costs, underscores the critical need for validated, fully automated, reproducible, and adaptable analysis pipelines. …”
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Environmental Effects in Life Cycle Assessment of Machine-Vision-Driven Spall Repair Material Estimation for Sustainable Road Maintenance by Junhwi Cho, Shanelle Aira Rodrigazo, Hwang-Hee Kim, Su-Jin Lee, Chan Gi Park, Jaeheum Yeon

“…By utilizing machine vision techniques, this approach detects spall damage without road closures and automates the calculation of repair areas and material requirements through a proprietary estimation program. …”
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Advancements in MEMS Micromirror and Microshutter Arrays for Light Transmission Through a Substrate by Shilby Baby, Mustaqim Siddi Que Iskhandar, Md Kamrul Hasan, Steffen Liebermann, Jiahao Chen, Hasnain Qasim, Shujie Liu, Eslam Farrag, Dennis Löber, Naureen Ahmed, Guilin Xu, Hartmut Hillmer

“…Finally, simulations demonstrating the potential yearly energy savings for investments in MEMS smart glazing are presented, including a comparison to traditional automated external blind systems in a model office room with definite user interactions throughout the year. …”
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Application of deconvolutional networks for feature interpretability in epilepsy detection by Sihao Shao, Yu Zhou, Ruiheng Wu, Aiping Yang, Qiang Li

“…IntroductionScalp electroencephalography (EEG) is commonly used to assist in epilepsy detection. Even automated detection algorithms are already available to assist clinicians in reviewing EEG data, many algorithms used for seizure detection in epilepsy fail to account for the contributions of different channels. …”
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Convolutional Neural Network for Seizure Detection of Nocturnal Frontal Lobe Epilepsy by Fabio Pisano, Giuliana Sias, Alessandra Fanni, Barbara Cannas, António Dourado, Barbara Pisano, Cesar A. Teixeira

“…In the last decades, numerous approaches to automate this detection have been proposed and, more recently, machine learning has shown very promising performance. …”
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Extending OpenStack Monasca for Predictive Elasticity Control by Giacomo Lanciano, Filippo Galli, Tommaso Cucinotta, Davide Bacciu, Andrea Passarella

“…Traditional auto-scaling approaches are conceived as reactive automations, typically triggered when predefined thresholds are breached by resource consumption metrics. …”
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Simplified Physical Stability Assessment of Chilean Mine Waste Storage Facilities Using GIS and AI: Application in the Antofagasta Region by Gabriel Hermosilla, Gabriel Villavicencio, Giovanni Cocca-Guardia, Vicente Aprigliano, Manuel Silva, Juan Carlos Quezada, Pierre Breul, Vinicius Minatogawa, Jaime Morales

“…By integrating Geographic Information Systems (GIS) and Artificial Intelligence (AI)&#x2014;utilizing models like YOLOv11 and convolutional neural networks&#x2014;we automate the detection and characterization of WRD and LWD from satellite imagery, extracting critical parameters for PS assessment. …”
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PENGARUH PARAMETER PEMESINAN TERHADAP KEKASARAN PERMUKAAN AI6061BE PADA PEMESINAN CNC MINI 500 WATT MENGGUNAKAN PAHAT KARBIDA STRAIGHT ENDMILL by Richard A. M. Napitupulu, Siwan E.A. Perangin angin

“…CNC is a manufacturing process where previously programmed computer software is converted into code that can automate machining movements, one of which is the milling or lathe process. …”
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Key public verifiable MA-CP-ABE scheme based on aggregatable PVSS and consortium blockchain by JING Xu, JIANG Yan

“…A key public verifiable MA-CP-ABE scheme was proposed based on a consortium blockchain, ensuring the trustworthiness of verification parameters through the consortium blockchain and achieving automated verification via smart contracts. The analysis of correctness, confidentiality, robustness, and liveness indicates that when the total number of AA is <italic>n</italic>, the threshold value is <italic>t</italic>, and the number of malicious AA is not more than<italic> t</italic>-1, the scheme can ensure the correct distribution of attribute private keys, and the communication overhead complexity of the system master key initialization is <italic>O</italic>(<italic>tn</italic>).…”
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Genetic Algorithm-Enhanced Direct Method in Protein Crystallography by Ruijiang Fu, Wu-Pei Su, Hongxing He

“…The reconstructed electron density maps were of sufficient quality for automated model building. This method provides an effective alternative for solving structures that are difficult to predict accurately by AlphaFold3 or challenging to solve by molecular replacement and experimental phasing methods. …”
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EduDCM: A Novel Framework for Automatic Educational Dialogue Classification Dataset Construction via Distant Supervision and Large Language Models by Changyong Qi, Longwei Zheng, Yuang Wei, Haoxin Xu, Peiji Chen, Xiaoqing Gu

“…EduDCM innovatively integrates distant supervision with the capabilities of Large Language Models (LLMs) to automate the construction of high-quality educational dialogue classification datasets. …”
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