Enhancing vector control: AI-based identification and counting of Aedes albopictus (Diptera: Culicidae) mosquito eggs by Minghao Wang, Yibin Zhou, Shenjun Yao, Jianping Wu, Minhui Zhu, Linjuan Dong, Dunjia Wang

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Optimizing Pre-Trained Code Embeddings With Triplet Loss for Code Smell Detection by Ali Nizam, Ertugrul Islamoglu, Omer Kerem Adali, Musa Aydin

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Research on Optimized Algorithm for Deep Learning Based Recognition of Sediment Particles in Turbulent Flow by WANG Hao, YANG Feiqi, ZHANG Lei, WU Wei, XIE Haonan, ZHAO Lin

“…Therefore, continuous improvements and refinements remain essential to ensure the acquisition of accurate and reliable particle state data. This study integrates deep learning networks with existing image processing techniques to enable more precise and comprehensive identification of suspended sediment particles. …”
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Leveraging Artificial Intelligence and Clinical Laboratory Evidence to Advance Mobile Health Applications in Ophthalmology: Taking the Ocular Surface Disease as a Case Study by Mini Han Wang, Yi Pan, Xudong Jiang, Zhiyuan Lin, Haoyang Liu, Yunxiao Liu, Jiazheng Cui, Jiaxiang Tan, Chengqi Gong, Guanghui Hou, Xiaoxiao Fang, Yang Yu, Moawiya Haddad, Marion Schindler, José Lopes Camilo Da Costa Alves, Junbin Fang, Xiangrong Yu, Kelvin Kam‐Lung Chong

“…Additionally, back propagation neural networks (BPNN) and universal network for image segmentation (U‐Net) were employed for image classification and segmentation of meibomian gland images to predict Demodex mite infections. …”
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Deep Learning Methods for Inferring Industrial CO₂ Hotspots from Co-Emitted NO₂ Plumes by Erchang Sun, Shichao Wu, Xianhua Wang, Hanhan Ye, Hailiang Shi, Yuan An, Chao Li

“…Deep learning, leveraging its strengths in the automated and rapid analysis of image datasets, holds significant potential to enhance the efficiency and effectiveness of data processing in the GST. …”
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A fine-grained human facial key feature extraction and fusion method for emotion recognition by Shiwei Li, Jisen Wang, Linbo Tian, Jianqiang Wang, Yan Huang

“…This paper proposes a method for modeling and extracting key facial features by integrating global and local facial data. First, we construct a comprehensive image preprocessing model that includes super-resolution processing, lighting and shading processing, and texture enhancement. …”
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Development of ANPR Framework for Pakistani Vehicle Number Plates Using Object Detection and OCR by Salma, Maham Saeed, Rauf ur Rahim, Muhammad Gufran Khan, Adil Zulfiqar, Muhammad Tahir Bhatti

“…For comparison and validation, we implemented a LeNet Convolutional Neural Network (CNN) architecture which uses the segmented image as an input. …”
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MFEM-CIN: A Lightweight Architecture Combining CNN and Transformer for the Classification of Pre-Cancerous Lesions of the Cervix by Peng Chen, Fobao Liu, Jun Zhang, Bing Wang

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Implementation and Impact Assessment of Organic Crop Rotation Techniques for Soil Health Improvement in Temperate Agroecosystems by Shnain Ammar H., Abed Z., Siri Dharmapuri

“…Time series data analysis is performed by LSTM networks to make predictions regarding the trends of soil health as well as to predict the long-term results from crop rotation strategy. …”
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Improved estimation of two-phase capillary pressure with nuclear magnetic resonance measurements via machine learning by Oriyomi Raheem, Misael M. Morales, Wen Pan, Carlos Torres-Verdín

“…Recently, artificial intelligence methods have also been applied to capillary pressure prediction (Qi et al., 2024).Currently, no readily applicable predictive model exists for estimating an entire capillary pressure curve directly from standard petrophysical logs and core data. Although porescale imaging and network modeling techniques can compute capillary pressure from micro-CT rock images (Øren and Bakke, 2003; Valvatne and Blunt, 2004), these approaches are time-consuming, limited to small sample volumes, and not yet practical for routine reservoir evaluation. …”
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Building consistency in explanations: Harmonizing CNN attributions for satellite-based land cover classification by Timo T. Stomberg, Lennart A. Reißner, Martin G. Schultz, Ribana Roscher

“…Attribution methods like Grad-CAM and occlusion sensitivity analysis are frequently used to identify how features contribute to predictions of neural networks. …”
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Evaluating the effects of volume censoring on fetal functional connectivity by Jung-Hoon Kim, Josepheen De Asis-Cruz, Kevin M. Cook, Catherine Limperopoulos

“…Resting-state functional magnetic resonance imaging (rs-fMRI) has provided critical insights into emerging brain networks in fetuses. …”
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Occurrence of stroke in children and young adults in Indonesia: a multicenter private hospital study by Jeanne Leman, Veli Sungono, Yosua Timotius Haryono, Muhammad Adam Mudzakir, Dewi Lestari Rahmawati, Callistus Bruce Henfry Sulay, Gilbert Sterling Octavius

“…Purpose This study aimed to estimate the occurrence of childhood stroke in Indonesia using imaging and clinical data from a private hospital network. …”
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GrainNet: efficient detection and counting of wheat grains based on an improved YOLOv7 modeling by Xin Wang, Changchun Li, Chenyi Zhao, Yinghua Jiao, Hengmao Xiang, Xifang Wu, Huabin Chai

“…Results To enable fast and accurate counting of wheat grains under severe adhesion and complex scenarios, this study collected images of wheat grains from different varieties, backgrounds, densities, imaging heights, adhesion levels, and other natural conditions using various imaging devices and constructed a comprehensive wheat grain dataset through data enhancement techniques. …”
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Depth-to-scalp spatiotemporal dynamics for stereo-EEG by Tal Benoliel, Oshrit Arviv, Diya Doufish, Netaniel Rein, Yuval Harpaz, Evgeny Tsizin, Michal Balberg, Sami Heymann, Zvi Israel, Mordekhay Medvedovsky, Dana Ekstein

“…Put together with the relative degree of focality and location of the averaged scalp spikes’ ESI on the cortex, these data could differentiate onset from propagation of interictal activity and identify unexplored nodes in the epileptic network. …”
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Precision Target Spraying System Integrated with Remote Deep Learning Recognition Model for Cabbage Plant Centers by ZHANG Hui, HU Jun, SHI Hang, LIU Changxi, WU Miao

“…By meticulously recording the response times of the three primary components of the system, the valuable data were gathered. The average time required for image processing was determined to be 29.50 ms, while the transmission of decision signals took an average of 6.40 ms. …”
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A semantic strength and neural correlates in developmental dyslexia by Sladjana Lukic, Sladjana Lukic, Sladjana Lukic, Fei Jiang, Maria Luisa Mandelli, Maria Luisa Mandelli, Ting Qi, Sarah M. Inkelis, Sarah M. Inkelis, Emily Rosenthal, Emily Rosenthal, Zachary Miller, Zachary Miller, Emma Wellman, Emma Wellman, Silvia A. Bunge, Silvia A. Bunge, Silvia A. Bunge, Maria Luisa Gorno-Tempini, Maria Luisa Gorno-Tempini, Christa Watson Pereira, Christa Watson Pereira

“…Differential dynamic rs-fMRI connectivity (shorter average dwell time and greater brain state switches) was observed between the high and average groups in a large-scale bilateral frontal-temporal-occipital network.DiscussionThese data demonstrate that a subgroup of children with dyslexia perform above average on semantic fluency tasks and their performance is strongly linked to distinct psycholinguistic patterns and differences in a task-free resting-state brain network, which includes regions previously implicated in semantic processing. …”
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Investigation of 3D iris morphology early alteration after implantable collamer lens implantation by using SS-OCT by Zhengwei Zhang, Shuimiao Chang, Kaiwen Li, Jinhan Yao, Zhao Wang, Jiewei Liu, Lin Jiang, Feiyan Chai, Xiaogang Wang

“…Results: Forty-six eyes of 27 patients (average age, 26.0 ± 5.3 years) were included in the final data analysis. …”
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Compatibility Between OLCI Marine Remote-Sensing Reflectance from Sentinel-3A and -3B in European Waters by Frédéric Mélin, Ilaria Cazzaniga, Pietro Sciuto

“…There has been an uninterrupted suite of ocean-color missions with global coverage since 1997, a continuity now supported by programs ensuring the launch of a series of platforms such as the Sentinel-3 missions hosting the Ocean and Land Color Imager (OLCI). The products derived from these missions should be consistent and allow the analysis of long-term multi-mission data records, particularly for climate science. …”
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Estimation and evaluation of iron reserves in the eastern area of Eileh1 mine, Razavi Khorasan province by Hamid Esmati Daroneh, Maryam Gholamzadeh

“…All estimation methods require exploratory data analysis, and numerous statistical techniques can be employed to analyze this data. …”
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