Mind the leaf anatomy while taking ground truth with portable chlorophyll meters by Zuzana Lhotáková, Eva Neuwirthová, Markéta Potůčková, Lucie Červená, Lena Hunt, Lucie Kupková, Petr Lukeš, Petya Campbell, Jana Albrechtová

“…For grasses, the model to predict chlorophyll content across multiple species had low performance with CCM-300 (R2 = 0.45, nRMSE = 11%) and failed for SPAD. …”
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Using Deep Learning Techniques to Enhance Blood Cell Detection in Patients with Leukemia by Mahwish Ilyas, Muhammad Bilal, Nadia Malik, Hikmat Ullah Khan, Muhammad Ramzan, Anam Naz

“…This research study proposes an automatic diagnostics prediction of leukemia by analyzing blood images according to the shape of the blast cells using digital image processing and machine learning. …”
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Identifikasi Dini Curah Hujan Berpotensi Banjir Menggunakan Algoritma Long Short-Term Memory (Lstm) Dan Isolation Forest by Ahmad Wijayanto, Aris Sugiharto, Rukun Santoso

“…The Isolation Forest algorithm is then used to automatically identify rainfall with flood potential. …”
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Continuous and funnel-gate configurations of a permeable reactive barrier for reclamation of groundwater laden with tetracycline: experimental and simulation approaches by Ayad A.H. Faisal, Layla Abdulkareem Mokif, Waqed H. Hassan, Radhi AlZubaidi, Saeed Al Marri, Khalid Hashim, Mohammad Amir Khan, Osamah J. Al-sareji

“…An artificial neural network (ANN) using the Levenberg-Marquardt back-propagation (LMA) training algorithm is constructed to compare the effectiveness of Tetracycline removal from aqueous solution using the sorption technique with prepared adsorbent. …”
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A Machine Learning-Based Guide for Repeated Laboratory Testing in Pediatric Emergency Departments by Adi Shuchami, Teddy Lazebnik, Shai Ashkenazi, Avner Herman Cohen, Yael Reichenberg, Vered Shkalim Zemer

“…The minimal decision tree (MDT) algorithm was selected for its interpretability and capacity to generate optimally pruned classification trees. …”
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A Prospective Study to Evaluate the SPY-QP Software for Intraoperative Perfusion Assessment in Breast Reconstruction by Hani I. Naga, MD, Jennifer Gallagher, BS, Joshua K. Kim, BS, Jenny Foster, BS, Yisong Geng, PhD, MBA, Nicholas C. Oleck, MD, Brett T. Phillips, MD, MBA

“…Conversely, it remains challenging to predict necrosis in gray zones.…”
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Predictors for recurrence of chronic osteomyelitis following long bones cavity defect replacement with synthetic materials by Alexander V. Afanasyev, Svetlana A. Bozhkova, Vasily A. Artyukh

“…Based on the scale, an algorithm of treatment for these patients was developed.…”
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Isolating Coefficient-Based Framework to Recognize Influential Nodes in Complex Networks by Buran Basha Mohammad, V. Sateeshkrishna Dhuli, Murali Krishna Enduri, Linga Reddy Cenkeramaddi

“…The simulation outcomes indicate that one of the proposed methods ISCR, utilizing a lower-complexity algorithm, effectively identifies the most influential nodes with high accuracy. …”
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DCMC-UNet: A Novel Segmentation Model for Carbon Traces in Oil-Immersed Transformers Improved with Dynamic Feature Fusion and Adaptive Illumination Enhancement by Hongxin Ji, Jiaqi Li, Zhennan Shi, Zijian Tang, Xinghua Liu, Peilin Han

“…An edge-aware decoder (EAD) was integrated into the decoder, which extracts edge details from predicted segmentation maps and fuses them with encoded features to enrich edge features. …”
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Studying Alzheimer’s disease through an integrative serum metabolomic and lipoproteomic approach by Alessia Vignoli, Giovanni Bellomo, Federico Paolini Paoletti, Claudio Luchinat, Leonardo Tenori, Lucilla Parnetti

“…The great variability in disease evolution and the incomplete understanding of the molecular mechanisms underlying AD make it difficult to predict when a patient will convert from prodromal stage to dementia. …”
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A framework for flood risk zoning and prioritization combining maximum entropy and game theory by Ali Haghizadeh, Reza Fathiganji, Ehsan Sohrabi, Aghdas Lotfi, Leila Ghasemi

“…Variable selection was performed using the Random Forest algorithm, resulting in the identification of nine key factors influencing flood occurrence. …”
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Mapping and discrimination of the mineralization potential in the Bonako area (Central Cameroon Domain): Insights from Landsat 9 OLI data, GIS fuzzy modeling techniques and field o... by Nguimezap Marie Madeleine, Fozing Eric Martial, Safianou Ousmanou, Achu Megnemo Ludovic, Sobze Yemdji Robinson Belmien, Sawadogo Sâga

“…In addition, image processing methods such as band ratios (BR) and selective principal component analysis (Crosta-PCA) were applied to target and delineate hydrothermally altered and corresponding minerals and the spectral angle mapper (SAM) classification algorithm was used to classify the discriminated lithological units within the study area. …”
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Using AlphaFold-Multimer to study novel protein-protein interactions of predation essential hypothetical proteins in Bdellovibrio by Ibukun John Abulude, Isabel Cristina Rodríguez Luna, Alejandro Sánchez Varela, Andrew Camilli, Daniel E. Kadouri, Xianwu Guo

“…By applying Markov Cluster Algorithm and AlphaFold-Multimer to analyze the protein network and interaction partners of the AP-PEPs, we predicted high-confidence protein-protein interactions and two structurally similar but unique novel protein complexes formed among proteins of the Bd2209-Bd2212 and Bd2723-Bd2726 operons. …”
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Aerial image segmentation of embankment dams based on multispectral remote sensing: a case study in the Belo Monte Hydroelectric Complex, Pará, Brazil by Carlos André de Mattos Teixeira, Thabatta Moreira Alves de Araujo, Evelin Cardoso, Marcos Antonio Costantin Filho, João Weyl Costa, Carlos Renato Lisboa Frances

“…Post-processing techniques were applied to refine the predicted masks, enhancing the mean IoU to 93.2% and 91.9%, respectively. …”
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Rethinking Conservation and Restoration Strategies of Endangered and Key Medicinal Clavicarpa Plants in Yunnan‐Kweichow Plateau's Karst Areas Under Climate Change by Chao Luo, Baiyang He, Yulu Wu, Yuteng Xue, Huang Deng, Shanman Li, Xianghong Dong, Litang Lu

“…To mitigate these threats, the Maxent algorithm was employed to analyze current and future distribution patterns, with a particular focus on the influence of climate variables in predicting potential distribution shifts and assessing extinction risks under the optimistic SSP1‐2.6 and the pessimistic SSP5‐8.5 socioeconomic scenarios. …”
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Sustainable Innovation: Harnessing AI and Living Intelligence to Transform Higher Education by Hesham Mohamed Allam, Benjamin Gyamfi, Ban AlOmar

“…AI-driven solutions can help optimize energy use, predict maintenance needs, and reduce waste, all contributing to a smaller environmental footprint. …”
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An artificial intelligence and machine learning-driven CFD simulation for optimizing thermal performance of blood-integrated ternary nano-fluid by Mohib Hussain, Du Lin, Hassan Waqas, Qasem M. Al-Mdallal

“…An AI-integrated, the Levenberg-Marquardt algorithm is employed with a neural network back propagation approach (ANN-LMA) for comprehensive analysis of viscous dissipation and the Lorentz force effects influenced tri-hybrid nano-fluid mixture. …”
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On-Chip Age Estimation Using Machine Learning by Turki Alnuayri, Saqib Khursheed, Daniele Rossi

“…It outperforms the state-of-the-art IC age prediction models even when learning and validating the model with aging and PV.…”
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BedEye: A Bed Exit and Bedside Fall Warning System Based on Skeleton Recognition Technology for Elderly Patients by Liang-Bi Chen, Wan-Jung Chang, Tzu-Chin Yang

“…Moreover, we develop an algorithm for determining bed posture using the posture of patients leaving the bed. …”
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Peptide inhibitors of the anaphase promoting-complex that cause sensitivity to microtubule poison. by Scott C Schuyler, Yueh-Fu Olivia Wu, Hsin-Yu Chen, Yi-Shan Ding, Chia-Jung Lin, Yu-Ting Chu, Ting-Chun Chen, Louis Liao, Wei-Wei Tsai, Anna Huang, Lin-Ing Wang, Ting-Wei Liao, Jia-Hua Jhuo, Vivien Cheng

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