An evaluation of single and multi-date Landsat image classifications using random forest algorithm in a semi-arid savanna of Ghana, West Africa by Eric Adjei Lawer

“…Significant negative correlations observed between the number of classes in LULC schemes and overall accuracy and kappa coefficient indicate that the more complex the LULC scheme, the lower the accuracy produced. …”
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Calculation Method of Phenotypic Traits for Tomato Canopy in Greenhouse Based on the Extraction of Branch Skeleton by Xiaodan Ma, Qiu Jiang, Haiou Guan, Lu Wang, Xia Wu

“…Automatic acquisition of phenotypic traits in tomato plants is important for tomato variety selection and scientific cultivation. Because of time-consuming and labor-intensive traditional manual measurements, the lack of complete structural information in two-dimensional (2D) images, and the complex structure of the plants, it is difficult to automatically obtain the phenotypic traits of the tomato canopy. …”
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Research results of local samples of winter garlic in the Republic of Dagestan by N. M. Nimatulaev, V. G. Suzan, N. V. Litvinenko, I. V. Grekhova

“…Sample 2-13-1 also exceeded the average values for the number of bulbs and bulb mass, but it had an average bulbs less than 20 g and a coefficient of variation of 41%. The results of studying the collection of Dagestan origin showed that the samples represented a complex population with high differentiation in bulb mass and inflorescence characteristics, which made it possible to isolate the source material using individual selection. …”
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Looking outside the box with a pathology aware AI approach for analyzing OCT retinal images in Stargardt disease by Parisa Khateri, Tiana Koottungal, Damon Wong, Rupert W. Strauss, Lucas Janeschitz-Kriegl, Maximilian Pfau, Leopold Schmetterer, Hendrik P. N. Scholl

“…In severely affected regions, identified by a box detection model, the total retina is segmented as a single layer to avoid errors. …”
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Sparse Feature-Weighted Double Laplacian Rank Constraint Non-Negative Matrix Factorization for Image Clustering by Hu Ma, Ziping Ma, Huirong Li, Jingyu Wang

“…Additionally, many NMF variants face challenges when dealing with complex data distributions and are vulnerable to noise and outliers. …”
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Assessment of Microsatellite Genetic Diversity of Cultured Eriocheir sinensis Populations from Jiangsu and Anhui by Yuting HU, Jun LING, He JIANG, Huan WANG, Tingshuang PAN, Guoqing DUAN, Huaxing ZHOU, Min YANG, Tong LI

“…Analysis of molecular variance (AMOVA) and the coefficient of genetic differentiation (Fst) were performed using Arlequin 3.5 software. …”
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Performance of Machine Learning Classifiers for Diabetes Prediction by Mijala Manandhar, Shaikat Baidya, Babalpreet Kaur, Katia Atoji

“…Decision Table offered a clear representation of decision rules but was limited by the complexity of the dataset. In the Trees group, J48 was the most effective, benefitting from its ability to handle complex interactions and numerous features. …”
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Exergetic calculation of the efficiency of heat pump installations for a private building by О. Стенін, В. Пасько, М. Солдатова, І. Дроздович

“…This article offers an exergetic calculation of the coefficient of the degree of thermodynamic perfection for the selection of the appropriate heat pump for the selected scheme of the heat pump installation and real operating conditions. …”
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Determination of correlation between cytokines IL 6, IL8, IL10, IL12, IL17 and severity of hepatocellular carcinoma in patients having hepatitis C by Ishtiaq Ahmad, Hamidullah, Ashraf, Murad Ali, Manzoor Hussain, Rehman Ud Din

“…Method: The retrospective, cross-sectional, analytical study was conducted at the Department of Medicine, Mardan Medical Complex, Mardan, Khyber Pakhtunkhwa, Pakistan, and comprised data of hepatocellular carcinoma patients who were positive for hepatitis C on polymerase chain reaction test from March 2021 to December 2022. …”
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Research on Deep Integration of the “Belt and Road” Aviation Network Based on Community Structure from the Perspective of China by Hongguang Yao, Huihui Xiao

“…The international airline links in the “Belt and Road” aviation network are more complex. A total of 118 key nodes were identified, of which 83.1% were in the top 20% of overall network centrality.…”
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SAMU-Net: A dual-stage polyp segmentation network with a custom attention-based U-Net and segment anything model for enhanced mask prediction by Radiful Islam, Rashik Shahriar Akash, Md Awlad Hossen Rony, Md Zahid Hasan

“…Early detection of colorectal cancer through the proper segmentation of polyps in the colonoscopy images is crucial. …”
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Implementation of Automatic Segmentation Framework as Preprocessing Step for Radiomics Analysis of Lung Anatomical Districts by Alessandro Stefano, Fabiano Bini, Nicolò Lauciello, Giovanni Pasini, Franco Marinozzi, Giorgio Russo

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Cognitive assessment across normal aging and subjective cognitive decline using PGIMS and Stroop color-word test: A cross-sectional study by Akshata Rao, Abhijith R Rao, Bhawana Painkra, Sakthi Kiruthika, Sunil Kumar, Meenal Thakral, Swati Bajpai, Shodhan Aithal, Aparajit Ballav Dey, Prasun Chatterjee

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Near infrared reflectance spectroscopy-driven chemometric modeling for predicting key quality traits in lablab bean (Lablab purpureus L.) Germplasm by Simardeep Kaur, Naseeb Singh, Ernieca L. Nongbri, Mithra T, Veerendra Kumar Verma, Amit Kumar, Tanay Joshi, Jai Chand Rana, Rakesh Bhardwaj, Amritbir Riar

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Salting-Out Assisted Liquid-Liquid Extraction of Cr (VI) from Water Samples before Its Determination by UV-Vis Spectrophotometry by Jote Dame, Feyisa Wedajo, Guyo Jilo Molole, Abera Gure

“…This paper proposes salting-out assisted liquid-liquid extraction for selective extraction of a Cr (VI)-1,5-diphenylcarbazide complex before its determination by UV-Vis spectrophotometry. …”
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Evaluation methods of clay stabilizer in shale reservoirs based on X-ray diffraction and capillary suction time by HE Yanlong, WANG Xin, XUE Xiaojia, HUANG Hai, WU Jiang, LIU Xiaoqing, TANG Siyuan, HU Zhiqiang

“…It was found that they all had the same changing trend as the detected CEC. By introducing the proportional coefficient， the detected and calculated CST was fitted with the calculated CEC， and the corresponding fitted detection value of CEC was obtained. …”
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Comparative Evaluation of Decision Tree (M5) and Least Square Support Vector Machine (LS-SVM) Models for Groundwater Level Prediction in the Mashhad Plain by Vajihe Ramezani saani, Mahdi Zarei, Seyed Morteza Seyedian

“…Nowadays, the application of intelligent models for estimating groundwater levels is increasing due to their ease of use and high accuracy in estimating complex and nonlinear mathematical equations. The aim of the present study is to estimate the groundwater table level of the Mashhad plain aquifer using the decision tree model (M5) and to compare it with the least squares support vector machine model (LS-SVM) under 10 different scenarios.Method: For this purpose, monthly climatic data (precipitation, evaporation, and temperature) and groundwater level information from 60 piezometric wells over a 10-year statistical period were utilized, and the employed models were evaluated using statistics such as the coefficient of determination (R2), RMSE, and MBE.Results: The results of the LS-SVM model indicated that the highest simulation accuracy belonged to scenario 4, followed by scenario 9, while the other scenarios exhibited very low accuracy in simulating the water level. …”
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A clean self-diverting acid for carbonate reservoir in deep wells at high temperatures and its performance evaluation by Xiangsen Gao, Min Wang, Xian Shi, Bin Li, Jian Mao, Poplygin Vladimir Valerievich

“…The innovative clean self-diverting acid fulfills all requirements for deep acid fracturing in deep high-temperature oil and gas reservoirs with complex geological characteristics.…”
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Fractal-Based Architectures with Skip Connections and Attention Mechanism for Improved Segmentation of MS Lesions in Cervical Spinal Cord by Rukiye Polattimur, Mehmet Süleyman Yıldırım, Emre Dandıl

“…<b>Conclusions</b>: For segmentation of the CSC region and detection of MS lesions, the proposed fractal-based Con-FractalU-Net and Att-FractalSpiNet architectures achieved higher scores than the baseline U-Net architecture, particularly in segmenting small and complex structures.…”
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Advanced Hybrid Brain Tumor Segmentation in MRI: Elephant Herding Optimization Combined with Entropy-Guided Fuzzy Clustering by Baiju Karun, Arunprasath Thiyagarajan, Pallikonda Rajasekaran Murugan, Natarajan Jeyaprakash, Kottaimalai Ramaraj, Rakhee Makreri

“…Accurate and early detection of brain tumors is essential for improving clinical outcomes and guiding effective treatment planning. …”
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