Decision Support Technique Based on Spherical Fuzzy Yager Aggregation Operators and Their Application in Wind Power Plant Locations: A Case Study of Jhimpir, Pakistan by Ronnason Chinram, Shahzaib Ashraf, Saleem Abdullah, Pattarawan Petchkaew

“…In this research, we establish novel operational laws based on the Yager t-norm and t-conorm under spherical fuzzy environments (SFE). …”
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A Novel Aerosol Optical Depth Retrieval Method Based on SDAE from Himawari-8/AHI Next-Generation Geostationary Satellite in Hubei Province by Shiquan Deng, Ting Bai, Zhe Chen, Yepei Chen

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A computational approach to the study of interactions between proteins and miR10-b, miR-335, and miR-21 involved in breast cancer by Rahma Hammou, Yassine Kasmi, Moulay Ennaji

“…The main results demonstrate the ability of miR-10b, miR-335, and miR-21 to create direct interactions with 3D protein structures. …”
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IOL Power Calculation Features after Radial Keratotomy by A. A. Kasyanov, E. G. Ryzhkova

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Machine learning approach for revealing the nickel grade and recovery optimization in reduction process of laterite ores by Vuri Ayu Setyowati, Fakhreza Abdul

“…With the increasing demand for energy-efficient processes, the selective reduction of laterite nickel ore, followed by ferronickel metal separation, has become the main focus. Researchers have studied and published many process variables or features to date. …”
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Sustainable THz SWIPT via RIS-Enabled Sensing and Adaptive Power Focusing: Toward Green 6G IoT by Sunday Enahoro, Sunday Cookey Ekpo, Mfonobong Uko, Fanuel Elias, Rahul Unnikrishnan, Stephen Alabi, Nurudeen Kolawole Olasunkanmi

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Cluster-network interaction as a management tool for health tourism market in a regional economy by Матвей Оборин

“…The proposed model is tailored to the peculiarities of spatial and territorial location and the market potential of the country’s resort medicine.…”
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What can we learn about multi-hazard impacts from global disaster records? by W. S. Jäger, M. C. de Ruiter, T. Tiggeloven, P. J. Ward, P. J. Ward

“…We find that 35 % of events are multi-hazard events and 61 % of hazards are associated with them, based on a spatial overlap of at least 50 % and a time lag of at most 3 months. …”
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DA-YOLOv7: A Deep Learning-Driven High-Performance Underwater Sonar Image Target Recognition Model by Zhe Chen, Guohao Xie, Xiaofang Deng, Jie Peng, Hongbing Qiu

“…Affected by the complex underwater environment and the limitations of low-resolution sonar image data and small sample sizes, traditional image recognition algorithms have difficulties achieving accurate sonar image recognition. …”
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Spatio-temporal evolution of land subsidence and susceptibility zonation of associated ground fissures in the urban area of loess plateau: a case in Xianyang city, China by Yuemin Sun, Jiewei Zhan, Fei Qiang, Quanzhong Lu, Cong Liu, Zhaowei Yao, Jianbing Peng

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Enhancing prediction of crop yield and soil health assessment for sustainable agriculture using machine learning approach by Kapil Netaji Vhatkar, Shweta Ashish Koparde, Sonali Kothari, Jayesh Sarwade, Kishor Sakur

“…Back-propagation Neural Network (BPNN) is an SL algorithm applied for predicting complex patterns, especially in crop yield and soil health assessments. …”
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Web GIS Based Benthic Habitat Mapping Update Supports Smart Island Lemukutan by Zan Zibar, Robin Saputra, Adityo Raynaldo, Supriyatno Supriyatno

“…This study took place from August 6th to August 13th, 2024, and used a total of 1097 field points to show where all the benthic habitats and Sentinel 2A image data sources were located. The research results obtained the extent of shallow water benthic habitat classification with different variations in each habitat class. …”
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Graph Neural Network With Hessian-Based Locally Linear Embedding for Cancer Metastasis Analysis in Lymph Nodes Using DeepLab Segmentation by Senthil Jayapal, R. Annamalai

“…These segmented regions are then modeled as graphs, where the nodes signify the segmented areas and the edges reflect spatial and functional coupling. To accomplish better preservation of the geometry of high-dimensional data and more effective feature extraction, the HLLE algorithm is applied. …”
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A federated learning-based privacy-preserving image processing framework for brain tumor detection from CT scans by Abdullah Al-Saleh, Ghanshyam G. Tejani, Shailendra Mishra, Sunil Kumar Sharma, Seyed Jalaleddin Mousavirad

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Tri-manual interaction in hybrid BCI-VR systems: integrating gaze, EEG control for enhanced 3D object manipulation by Jian Teng, Jian Teng, Sukyoung Cho, Shaw-mung Lee

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Monte carlo study of the effect of collimator thickness on T-99m source response in single photon emission computed tomography by Jalil Islamian, Mohammad Taghi Toossi, Mahdi Momennezhad, Seyyed Zakavi, Ramin Sadeghi, Michael Ljungberg

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IMPLEMENTATION OF THE DBSCAN METHOD FOR CLUSTER MAPPING OF EARTHQUAKE SPREAD LOCATION by Muhammad Bariklana, Achmad Fauzan

“…The purpose of this study was to classify areas based on the density of earthquake occurrence areas in West Java using Density-Based Spatial Clustering of Application with Noise (DBSCAN). …”
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Potential effects of climate change on the threatened Malagasy poison frogs: A multispecies approach by Albert Carné, David R. Vieites, Neftalí Sillero

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Transformer attention fusion for fine grained medical image classification by Danyal Badar, Junaid Abbas, Raed Alsini, Tahir Abbas, Wang ChengLiang, Ali Daud

“…This model uses self-attention mechanics to improve spatial connections between single scales and cross-attention to automatically match feature patterns across multiple scales, thereby developing a comprehensive information structure. …”
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Generating MODIS hourly land surface temperature under clear sky conditions using Fourier series analysis by Hadi Zare Khormizi, Mohammad Jafari, Hamidreza Ghafarian Malamiri, Ali Tavili, Hamidreza Keshtkar

“…Land surface temperature (LST) data with high temporal and spatial resolution are used in many studies, e.g. to assess climate changes, land–atmosphere interactions, surface energy balance, etc. …”
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