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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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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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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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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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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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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Spectrophotometric Determination of Bismuth(III) with Arsenazo(III) Reagent in Water samples and Veterinary Preparation by Baghdad Science Journal

“…The limit of detection (LOD) and the limit of quantification (LOQ) are 0.0633 and 0.0847 ?…”
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XPolypNet: A U-Net-Based Model for Semantic Segmentation of Gastrointestinal Polyps With Explainable AI by Arjun Kumar Bose Arnob, Muhammad Mostafa Monowar, Md. Abdul Hamid, M. F. Mridha

“…To address the challenges of varying polyp sizes, indistinct boundaries, and complex textures, the model used a combined loss function (Binary Cross-Entropy and Dice Loss). …”
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UGS-M3F: unified gated swin transformer with multi-feature fully fusion for retinal blood vessel segmentation by Ibtissam Bakkouri, Siham Bakkouri

“…However, accurately segmenting blood vessels in fundus images is challenging due to factors such as significant variability in vessel scale and appearance, occlusions, complex backgrounds, variations in image quality, and the intricate branching patterns of retinal vessels. …”
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Information Merging for Improving Automatic Classification of Electrical Impedance Mammography Images by Jazmin Alvarado-Godinez, Hayde Peregrina-Barreto, Delia Irazú Hernández-Farías, Blanca Murillo-Ortiz

“…Breast cancer remains one of the leading causes of mortality among women worldwide, highlighting the critical need for early and accurate detection methods. Traditional mammography, although widely used, has limitations, including radiation exposure and challenges in detecting early-stage lesions. …”
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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

“…Under optimum conditions, the calibration curve constructed at seven concentration points exhibited good linearity from 0.015 to 2.00 mg/L with a 0.9973 coefficient of determination. The method’s detection and quantification limits were 0.004 and 0.015 mg/L, respectively. …”
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Electrochemical Determination of Caffeine Content in Ethiopian Coffee Samples Using Lignin Modified Glassy Carbon Electrode by Meareg Amare, Senait Aklog

“…In agreement with reported works, caffeine contents (w/w%) of 0.164 in Wonbera coffee; 0.134 in Wolega coffee; 0.097 in Finoteselam coffee; and 0.089 in Zegie coffee were detected confirming the applicability of the developed method for determination of caffeine in a complex matrix environment. …”
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Lung Cancer Management: Revolutionizing Patient Outcomes Through Machine Learning and Artificial Intelligence by Taghi Riahi, Bahareh Shateri‐Amiri, Amirhossein Hajialiasgary Najafabadi, Sina Garazhian, Hanieh Radkhah, Diar Zooravar, Sahar Mansouri, Roya Aghazadeh, Mohammadreza Bordbar, Shirin Raiszadeh

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Historical information based iterative soft Kalman time-varying channel estimation method by Lu CHENG, Lihua YANG, Zenghao WANG, Jie ZHANG, Yan LIANG

“…For high-speed mobile MIMO-OFDM systems,a historical information based iterative soft-Kalman filter time-varying channel estimation method was proposed.Considering that the channels experienced by different trains in the high-speed railway environment have strong correlation,the channel information of the historical train was firstly used to obtain the optimal basis function,which can be employed to model the channel.By the optimal basis function,the computational complexity was reduced and the channel estimation accuracy was improved for the proposed method.Secondly,the soft-Kalman filter and data detection were jointed to estimate the base coefficient in each iteration.To reduce the effect of data detection error propagation on the channel estimation,the soft data detection scheme was employed and the soft detection error was treated as noise in each iteration.In addition,the soft-Kalman filter used in the proposed method does not involve the AR model tracking factor,thereby avoiding the computational complexity introduced by the estimated tracking factor.The simulation results show that the proposed method has better estimation performance,and is more suitable for time-varying channel acquisition of actual high-speed mobile scenarios.…”
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Historical information based iterative soft Kalman time-varying channel estimation method by Lu CHENG, Lihua YANG, Zenghao WANG, Jie ZHANG, Yan LIANG

“…For high-speed mobile MIMO-OFDM systems,a historical information based iterative soft-Kalman filter time-varying channel estimation method was proposed.Considering that the channels experienced by different trains in the high-speed railway environment have strong correlation,the channel information of the historical train was firstly used to obtain the optimal basis function,which can be employed to model the channel.By the optimal basis function,the computational complexity was reduced and the channel estimation accuracy was improved for the proposed method.Secondly,the soft-Kalman filter and data detection were jointed to estimate the base coefficient in each iteration.To reduce the effect of data detection error propagation on the channel estimation,the soft data detection scheme was employed and the soft detection error was treated as noise in each iteration.In addition,the soft-Kalman filter used in the proposed method does not involve the AR model tracking factor,thereby avoiding the computational complexity introduced by the estimated tracking factor.The simulation results show that the proposed method has better estimation performance,and is more suitable for time-varying channel acquisition of actual high-speed mobile scenarios.…”
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