Deep Learning Model Size Performance Evaluation for Lightning Whistler Detection on Arase Satellite Dataset by I Made Agus Dwi Suarjaya, Desy Purnami Singgih Putri, Yuji Tanaka, Fajar Purnama, I Putu Agung Bayupati, Linawati, Yoshiya Kasahara, Shoya Matsuda, Yoshizumi Miyoshi, Iku Shinohara

“…Our approach involves exposing the models to spectrogram diagrams—visual representations of the frequency content of signals—derived from the Arase Satellite’s WFC (WaveForm Capture) subsystem, with a focus on analyzing whistler-mode plasma waves. …”
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Ecological monitoring of invasive species through deep learning-based object detection by Xinwu Ji, Yang Zhang, Jiaquan Wan, Tao Yang, Qiong Yang, Jiaqing Liao

“…Water hyacinth (Eichhornia crassipes) is a highly invasive aquatic species that poses significant threats to aquatic ecosystem health and water resource sustainability. Monitoring its spatial distribution offers a valuable ecological indicator for assessing environmental degradation and guiding ecological interventions. …”
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Acoustic Sediment Classification Using High-Frequency (400 kHz) Multibeam Data in Pari Water of Seribu Island, Indonesia by Dadang Handoko, Henry Munandar Manik, Totok Hestirianoto, Karlisa Priandana, Rozaimi Che Hasan

“…Sediment distribution maps, generated via FMGT and visualized with ArcGIS, indicated a predominance of fine-grained sediments. …”
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Designing CITOBOT: A portable device for cervical cancer screening using human-centered design, smart prototyping, and artificial intelligence by Marcela Arrivillaga, Paula C. Bermúdez, Juan Pablo García-Cifuentes, Hernán Darío Vargas-Cardona, Daniela Neira, Maria del Mar Torres, Mérida Rodríguez-López, Daniela Morales, Bleider Arizala

“…The development of CITOBOT v4 highlights the importance of fostering innovation in resource-limited settings, offering an effective solution to improve cervical cancer screening and potentially save lives in vulnerable communities.…”
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A Novel MaxViT Model for Accelerated and Precise Soybean Leaf and Seed Disease Identification by Al Shahriar Uddin Khondakar Pranta, Hasib Fardin, Jesika Debnath, Amira Hossain, Anamul Haque Sakib, Md. Redwan Ahmed, Rezaul Haque, Ahmed Wasif Reza, M. Ali Akber Dewan

“…Its modular design also enables future model compression for edge deployment in resource-constrained settings. Finally, we deploy the model in SoyScan, a real-time web tool that streams predictions and visual explanations to growers and agronomists. …”
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Thematic Analysis of Produce Packinghouse Sanitation: Challenges and Recommendations Based on Operator and Educator Insights by Allyson N. Hamilton, Sahaana Chandran, Kristen E. Gibson, Juan Moreira

“…Key challenges include resource limitations, knowledge gaps, outdated equipment, language barriers, and reluctance to invest in change. …”
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BirdRecon: A free open source tool for image based bird species recognition by Hari Kishan Kondaveeti, Nabin Kumar Upadhaya, Dheeraj Sai Tukkugudam, Rahul Panigrahi, Sirivella Madhan Chandra Mouli, Valli Kumari Vatsavayi, Nagendra Panini Challa

“…With its user-friendly design and practical deployment capability on resource-constrained devices, BirdRecon serves as a valuable tool for researchers, conservationists, and birdwatchers, contributing to biodiversity monitoring and conservation efforts.…”
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Gender Classification From Pashto Handwritten Text Images by Khan Sultan, Riaz Ahmad, Siraj Muhammad, Sulaiman Almutairi, Mohammed Abohashrh, Khalil Ullah, Abdallah Namoun, Ibrar Hussain

“…Computer vision (CV) is a subfield of computer science that enables machines to perceive, interpret, and understand visual data. It combines image processing, analysis, and machine learning to extract meaningful insights from images and videos. …”
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Development and Validation of an RPA Assay for Detecting Xanthomonas citri subsp. citri A, A*, and Aw and X. fuscans subsp. aurantifolii B and C by Raquel S. Hill, Archana Pal, Megan M. Dewdney, Liliana Cano, Carrie Lapaire Harmon

“…Current in-field screening methods rely on visual symptom identification and serological tools such as Agdia's X. axonopodis subsp. citri (Xac) ImmunoStrips (Elkhart, IN, U.S.A.). …”
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Evaluation of the precision and accuracy in the classification of breast histopathology images using the MobileNetV3 model by Kenneth DeVoe, Gary Takahashi, Ebrahim Tarshizi, Allan Sacker

“…In comparison with previous efforts, using older and larger convolutional network architectures with feature extraction pre-processing, our work highlights that modern, resource-efficient architectures can classify histopathological images with accuracy that at least matches that of previous efforts, without the need for labor-intensive feature extraction protocols. …”
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Optimizing nation-wide locations of dialysis centers: a geographic information system-based approach to improve healthcare accessibility and availability by Hanna Schroeder, Chen Namimi-Halevi, Osnat Luxenburg, Ayelet Grinbaum Arizon, Zach Tagar, Michal Bromberg, Vered H. Eisenberg

“…This approach offers policymakers a scalable, technology-driven strategy to optimize resource distribution, correct healthcare inequities, and improve accessibility for dialysis patients.…”
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Identifying degradation pathways at Sembrong Dam, Johor: insights from Sentinel-2 satellite imagery and NDVI analysis by Mustafa Anjang Ahmad, Muhammad Dzikri Kahlid, Muhammad Haziq Izzuddin Mohd Hussin, Mohd Adib Mohammad Razi, Ebrahim Hamid Hussein Al-Qadami, Mokhamad Nur Cahyadi

“…NDVI values are classified into different colour classes to visualize the condition of the study area. High NDVI values indicate higher concentrations of agriculture nutrients, potentially triggering eutrophication in watersheds through surface runoff. …”
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Strain localization-controlled rock failure using digital volume correlation technology: In situ compression tests on 3D-printed rock-like samples with a single initial flaw by Yulong Shao, Jingwei Yang, Jineon Kim, Chen He, Jae-Joon Song, Hong Yin, Junsu Leem

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Online platform vs. doctors: a comparative exploration of congenital cataract patient education from virtual to reality by Xuanqiao Lin, Xuanqiao Lin, Xuanqiao Lin, Xuanqiao Lin, Lifang Bai, Lifang Bai, Lifang Bai, Lifang Bai, Xiaohuan Zhao, Xiaohuan Zhao, Xiaohuan Zhao, Xiaohuan Zhao, Lei Cai, Lei Cai, Lei Cai, Lei Cai, Jin Yang, Jin Yang, Jin Yang, Jin Yang

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Ocular Manifestations in Children with Vernal Keratoconjunctivitis by Matteo Capobianco, Marco Zeppieri, Giuseppe Gagliano, Federico Visalli, Fabiana D’Esposito, Roberta Foti, Ludovica Cannizzaro, Daniele Tognetto, Caterina Gagliano

“…Nonetheless, access to modern medicines is restricted in resource-limited environments. Conclusions: VKC poses considerable diagnostic and treatment difficulties due to its chronic nature and possible consequences. …”
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Research on rheumatic heart disease from 2013 to early 2024: a bibliometric analysis by Yifan Chen, Liuding Wang, Dan Ma, Zhijie Cui, Yanjiao Liu, Qinghua Pang, Zhonghui Jiang, Zhuye Gao

“…Microsoft Excel 2019 was used to chart the annual productivity of research relevant to RHD, while ArcGIS (version 10.8) was employed to visualize the global distribution of publications. …”
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ResTreeNet: A Height-Aware LiDAR Tree Classification Model With Explainable AI for Forestry Applications by Asrat Kaleab Taye, Jeong-Mook Park, Hyung-Ju Cho, Jin-Taek Kang, Yeon-Ok Seo

“…With its lightweight architecture (requiring only 0.47 million parameters) and computational efficiency, ResTreeNet is a practical solution for large-scale ecological research, offering an innovative approach to automated forest monitoring and sustainable resource management.…”
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Comprehensive Monitoring of Construction Spoil Disposal Areas in High-Speed Railways Utilizing Integrated 3S Techniques by Xiaodong Hu, Bo Xia, Yongqi Guo, Yang Yin, Huihua Chen

“…By integrating multi-source data, this framework provides robust support for sustainable resource management, reduces the environmental impact, and advances circular economy practices. …”
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Applying photovoice and human-centered design to contextualize an adolescent micronutrient supplementation intervention in Mozambique by Sarah Bauler, Carmen Tse, Aicha Dos Santos, Lucilia Moises, Nicole Mbouemboue, Melissa Young, Joel Gittelsohn, Christine Marie George, Elli Leontsini

“…Conclusions Photovoice provided rich visual data about the lived experiences of adolescent girls in a fragile and resource-constrained context, without the influence of an external researcher interpreting everyday realities, and elicited valuable insights into the barriers, opportunities, and potential improvements in nutrition programming. …”
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Population norms of health-related quality of life in Iran: findings from a national EQ-5D-5L study by Satar Rezaei

“…This study aimed to generate population norms for the EQ-5D-5L dimensions, EQ-VAS (EuroQol-Visual Analogue Scale) scores, and EQ-5D-5L index scores in Iran, stratified by sex and age. …”
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