Classification Based on the Support Vector Machine for Determining Operational Targets for Controlling Electricity Usage With Conventional Meters: A Case Study of Industrial and Bu... by Galih Arisona, Alief Pascal Taruna, Dwi Irwanto, Arif Bijak Bestari, Wildan Juniawan

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Risk assessment in sociotechnical systems based on functional resonance analysis method and hierarchical fuzzy inference tree by Ashish Kumar, Sudhir Kumar Singh, Biswajit Samanta, Ashis Bhattcherjee

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Attain: Inclusive annotated pavement distress types and severity datasetMendeley Data by Mohammad Rezaeimanesh, Amir Golroo, Mohammad Sadegh Fahmani, Mohammad Javad Amani, Farid Hasanitabaar, Mohammad Saleh Entezari, Sane Karimi

“…Pavement distress detection plays a crucial role in pavement management and rehabilitation (M&R) by providing essential data for maintenance decision-making. The Attain dataset is introduced to facilitate the development of machine learning and deep learning models for pavement distress classification and object detection. …”
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A Hierarchical Machine Learning-Based Strategy for Mapping Grassland in Manitoba’s Diverse Ecoregions by Mirmajid Mousavi, James Kobina Mensah Biney, Barbara Kishchuk, Ali Youssef, Marcos R. C. Cordeiro, Glenn Friesen, Douglas Cattani, Mustapha Namous, Nasem Badreldin

“…The grassland classification process involved three stages: (1) to distinguish between vegetation and non-vegetation covers, (2) to differentiate grassland from non-grassland landscapes, and (3) to identify three specific grassland classes (tame, native, and mixed grasses). …”
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Exploring the Potential Imaging Biomarkers for Parkinson’s Disease Using Machine Learning Approach by Illia Mushta, Sulev Koks, Anton Popov, Oleksandr Lysenko

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A novel brain tumor magnetic resonance imaging dataset (Gazi Brains 2020): initial benchmark results and comprehensive analysis by Seref Sagiroglu, Ramazan Terzi, Emrah Celtikci, Alp Özgün Börcek, Yilmaz Atay, Bilgehan Arslan, Mustafa Caglar Sahin, Kerem Nernekli, Umut Demirezen, Okan Bilge Ozdemir, Kevser Özdem Karaca, Nuh Azgınoğlu

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AI in dermatology: a comprehensive review into skin cancer detection by Kavita Behara, Ernest Bhero, John Terhile Agee

“…Methodology In this study, we conducted a comprehensive analysis of artificial intelligence (AI) applications in the classification of skin cancer. We evaluated publications from three prominent journal databases: Scopus, IEEE, and MDPI. …”
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Comparison of 1D and 3D volume measurement techniques in NF2-associated vestibular schwannoma monitoring by Isabel Gugel, Nuran Aboutaha, Bianca Pfluegler, Ulrike Ernemann, Martin Ulrich Schuhmann, Marcos Tatagiba, Florian Grimm

“…A linear regression model was performed to compare 1D/classification systems to SVA, and the percentage deviation change of MLD3 and OA to SVA was established using a one-way multivariate variance analysis. 2586 SVA and 10344 linear measurements were performed in a cohort of 149 NF2 patients and 292 associated VS. …”
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Detection of COPD exacerbations with continuous monitoring of breathing rate and inspiratory amplitude under oxygen therapy by Juliana Alves Pegoraro, Antoine Guerder, Thomas Similowski, Philippe Salamitou, Jesus Gonzalez-Bermejo, Etienne Birmelé

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Identification of Rice Varieties Using Machine Learning Algorithms by Murat Koklu, İlkay Çınar

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Detection of retinal diseases from OCT images using a VGG16 and transfer learning by Wilwer J. Jaimes, Wilson J. Arenas, Humberto J. Navarro, Miguel Altuve

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CLASEG: advanced multiclassification and segmentation for differential diagnosis of oral lesions using deep learning by Afnan Al-Ali, Ali Hamdi, Mohamed Elshrif, Keivin Isufaj, Khaled Shaban, Peter Chauvin, Sreenath Madathil, Ammar Daer, Faleh Tamimi, Raidan Ba-Hattab

“…A dataset of 2,072 clinical images was used to train and validate the model. The proposed framework integrates EfficientNet-B3 for classification and ResNet-101-based Mask R-CNN for segmentation, achieving a classification accuracy of 74.49% and segmentation performance with an average precision (AP50) of 72.18. …”
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Predictive analysis of clinical features for HPV status in oropharynx squamous cell carcinoma: A machine learning approach with explainability by Emily Diaz Badilla, Ignasi Cos, Claudio Sampieri, Berta Alegre, Isabel Vilaseca, Simone Balocco, Petia Radeva

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ACCOUNTING AND ANALYTICAL INFORMATION FORMATION BY BUSINESS ENTITIES UNDER CONDITIONS OF SUSTAINABLE DEVELOPMENT CONCEPT REALIZATION by N. Iershova, O. Kryvytska, Yu. Kharchuk

“…Keywords: accounting and analytical information, strategic management accounting, management, sustainable development, decision making. JEL Classification С81, D83, M41 Formulas: 0; fig.: 3; tabl.: 1; bibl.: 13. …”
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Bacterial Disease Detection of Cherry Plant Using Deep Features by Hatice Kayhan, Emrah Dönmez, Yavuz Ünal

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Association Between Social Capital and Anxiety Among Older Adults in China: A Cross-Sectional Study by Meng L, Li P, Ye L, He Y, Zhong J

“…Binary logistic regression models and a classification and regression tree model (CART) were performed to assess the association between social capital and anxiety.Results: The finding of this study showed that the prevalence of anxiety among Chinese older adults was 13.04% (667/5115), subjects who were female (OR = 1.649; 95% CI: 1.336– 2.036), with medium-level of annual family income (OR = 0.598; 95% CI: 0.476– 0.751), with reporting 1– 2 diseases (OR = 1.743; 95% CI: 1.322– 2.298), with medium-level of interpersonal trust (OR = 0.668; 95% CI: 0.533– 0.837), social participation (OR = 0.521; 95% CI: 0.390– 0.696), social support (OR = 0.431; 95% CI: 0.264– 0.703) were at a lesser risk of developing anxiety. …”
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Blood-Based Prognostic Prediction Model for Glioblastoma: Construction and Validation by Gao S, Liu Y, Kong J, Huangfu L, Yang Y, Cui H, Sun X, Shi S, Yang D

“…The clinical decision curve showed that when the threshold probability exceeded 20%, the model’s prediction provided the greatest net benefit for GBM patients receiving the Stupp regimen. …”
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Developing a Methodology for Assessing Visual and Environmental Sensitivity for Agrivoltaics Land Suitability Projects: The Case Study of Viterbo Province (Italy) by Ilaria Angelelli, Daniele Codato, Salvatore Eugenio Pappalardo, Massimo De Marchi

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Modeling the compressive strength behavior of concrete reinforced with basalt fiber by Kennedy C. Onyelowe, Ahmed M. Ebid, Shadi Hanandeh, Viroon Kamchoom, Paul Awoyera, Siva Avudaiappan

“…Finally, it can be deduced that after considering the performance indices of the selected ensemble and classification models utilized in this present research paper, all the developed modes have almost the same excellent level of accuracy 95%, but ANN, KNN, and SVR produced R2 of 0.98 each with KNN producing MAE of 1.4 MPa, and MSE of 2.5 MPa to outperform ANN and SVR which produced MAE of 1.55 MPa/MSE of 4.1 MPa and MAE of 1.6 MPa/MSE of 3.85 MPa, respectively. …”
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Prediction of hepatitis-C virus using statistical learning models by Shalini Kumari, Subhajit Das, Prashant Kumar Sonker, Agni Saroj, Mukesh Kumar

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