Nuclei segmentation and classification from histopathology images using federated learning for end-edge platform. by Anjir Ahmed Chowdhury, S M Hasan Mahmud, Md Palash Uddin, Seifedine Kadry, Jung-Yeon Kim, Yunyoung Nam

“…Accurate nuclei segmentation and classification in histology images are critical for cancer detection but remain challenging due to color inconsistency, blurry boundaries, and overlapping nuclei. …”
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An Investigation on Prediction of Infrastructure Asset Defect with CNN and ViT Algorithms by Nam Lethanh, Tu Anh Trinh, Mir Tahmid Hossain

“…This paper presents an investigation into defect detection for civil and structural components using CNN and ViT models available on TensorFlow. …”
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Bio-Inspired Structure Representation Based Cross-View Discriminative Subspace Learning via Simultaneous Local and Global Alignment by Ao Li, Yu Ding, Xunjiang Zheng, Deyun Chen, Guanglu Sun, Kezheng Lin

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Multilobulated congenital epulis protruding from the maxillary anterior alveolar ridge in a four-day-old newborn: A case report by Khalid Almutairi, Rana Alshagroud, Fares Alrawashedah, Tariq Wahass

“…The prognosis for such a lesion is highly favorable, with no instances of recurrence documented in the literature. …”
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The Interactive Multiple Model Strategy With Matrix Form Mode Probability for Models With Different State Vectors by Ehsan Majma, Ryan Ahmed, Uday Deshpande, Saeid Habibi

“…This approach is particularly effective when a system undergoes sudden transitions between different modes, such as trajectory tracking problems or fault detection in systems. In some instances, as the system transitions from one mode to another, the describing model may undergo structural changes resulting in the IMM requiring different dimensionality state vectors. …”
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CONCEPTS OF IMPROVING CURRENT PROTECTION OF POWER-GRID LINES by F. A. Romaniuk, M. A. Shevaldin

“…It also allows increase of the last stage sensitiveness towards asymmetrical short-circuits; detection of the short-circuit location only on the results of fault currents measurement which simplifies the protection implementation; realization of the last (second) protection stage with linear-dependent time delay which ensures potentiality of its operation speed increase.…”
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Performance of Machine Learning Classifiers for Diabetes Prediction by Mijala Manandhar, Shaikat Baidya, Babalpreet Kaur, Katia Atoji

“…The dataset included 768 instances with nine attributes, where the target variable indicated whether a patient tested positive for diabetes. …”
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Personal experience with AI-generated peer reviews: a case study by Nicholas Lo Vecchio

“…Abstract Background While some recent studies have looked at large language model (LLM) use in peer review at the corpus level, to date there have been few examinations of instances of AI-generated reviews in their social context. …”
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Integration of solar flare and coronal mass ejection event dataHarvard Dataverse by Anli Ji, Manolis K. Georgoulis, Berkay Aydin

“…Such process is based on identifying the likely CME candidates with corresponding start and peak times of flares and the first detection time of CMEs. In addition, we check for the locations of flares (within 70 degrees) and CME principal angles as well as the width of each CME to generate spatial connections between instances. …”
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KPMapNet: Keypoint Representation Learning for Online Vectorized High-Definition Map Construction by Bicheng Jin, Wenyu Hao, Wenzhao Qiu, Shanmin Pang

“…Specifically, the conventional equidistant sampling method is modified to better preserve the geometric features of the original instances while maintaining a fixed number of points. …”
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Information Criteria for Signal Extraction Using Singular Spectrum Analysis: White and Red Noise by Nina Golyandina, Nikita Zvonarev

“…The method that considers the Hankel structure of the trajectory matrices appears to be a superior approach in many instances. Reasonable model orders are obtained for real-world time series. …”
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Rapid Analysis of Eukaryotic Bioluminescence to Assess Potential Groundwater Contamination Events by Zacariah L. Hildenbrand, Alexandra Osorio, Doug D. Carlton, Brian E. Fontenot, Jayme L. Walton, Laura R. Hunt, Hyppolite Oka, Dan Hopkins, Bryan Bjorndal, Kevin A. Schug

“…Here we present data using a bioluminescent dinoflagellate, Pyrocystis lunula, in a toxicological bioassay to rapidly assess potential instances of groundwater contamination associated with natural gas extraction. …”
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Clinical management and retrieval of foreign body inclusion in a primary tooth: a case report by Aakriti Chandra, Nilima Thosar, Ramakrishna Yeluri, Ishani Rahate, Mrunali Deshkar

“…Abstract Background While foreign body ingestion is a frequent pediatric emergency, instances of foreign objects becoming lodged in teeth are uncommon. …”
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Collision Avoidance Behavior Mining Model Considering Encounter Scenarios by Shuzhe Chen, Chong Zhang, Lei Wu, Ziwei Wang, Wentao Wu, Shimeng Li, Haotian Gao

“…Addressing the existing issues of low precision and false detection in data mining algorithms, this paper proposes a collision avoidance behavior mining model considering encounter scenarios. …”
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Diagnostic precision, safety, and patient experience of the freehand transperineal prostate biopsy technique under local anesthesia – A single-center experience by Aikaterini Eleftheriadou, Charlotte Collins, Dilaaniy Kannapiran, Faria Antara, Moustafa Elhammadi, Sarosh Janardanan, Michael Mikail, Nimalan Arumainayagam, Danny Darlington Carbin

“…Forty-four patients (59%) tested positive for PCa. There were no instances of urinary retention, sepsis, or hematuria requiring admission, and none required immediate rebiopsy due to undersampling as per the predefined rebiopsy criteria. …”
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The Effect of SMOTE and Optuna Hyperparameter Optimization on TabNet Performance for Heart Disease Classification by Danang Wijayanto, Robert Marco, Acihmah Sidauruk, Mulia Sulistiyono

“…Early diagnosis of heart disease has become increasingly crucial as delayed detection can significantly impact patient outcomes and survival rates. …”
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JMoE-FAP: A novel model for telecom network fraud victimization pattern analysis by Tuo Shi, Jing Hu, Danyang Li, Min Chen

“…The identified patterns can be used to design focused awareness campaigns, enhance fraud detection algorithms, and improve law enforcement training, thereby significantly increasing the effectiveness of anti-fraud initiatives.…”
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Assessing the Guidelines on the Use of Generative Artificial Intelligence Tools in Universities: A Survey of the World’s Top 50 Universities by Midrar Ullah, Salman Bin Naeem, Maged N. Kamel Boulos

“…However, our study found that only a small number of the retrieved guidelines offered instructions on the AI algorithm (understanding how it works), the documentation of prompts and outputs, AI detection tools, and mechanisms for reporting misconduct. …”
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A novel two stage neighborhood search for flexible job shop scheduling problem considering reconfigurable machine tools by Yanjun Shi, Chengjia Yu, Shiduo Ning

“…Furthermore, a trend-detection-based neighborhood search activation strategy is introduced to accelerate convergence and reduce computational costs. …”
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Protection strategy for ADN based on overcurrent relay with adaptability unit using local measurements by J. Cuero-Grueso, A. Herrera-Orozco, J. Mora-Flórez

“…Out of the 90 cases analysed, the strategy successfully adapts and maintains the expected relay operating times in 100% of instances, even with high fault resistance values. …”
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