Classification of microscopic images of rock thin sections based on TLCA-ResNet34 by Zhenyu Zhao, Shucheng Tan, Hui Chen, Pengwei Wang, Qinghua Zhang, Haoyu Wei, Zhenlin Zhang

“…By adopting the transfer learning method, a context-aware residual block was designed using the coordinate attention(CA) mechanism, and a targeted TLCA-ResNet34 neural network model was developed. This model is capable of extracting deep-layer feature information from entire rock thin section images, thus achieving the classification and identification of microscopic images. …”
Get full text

NoiseAugmentNet-HHO: Enhancing Histopathological Image Classification Through Noise Augmentation by Prem Purusottam Jena, Debahuti Mishra, Kaberi Das, Sashikala Mishra

“…The encoder-decoder architecture of NoiseAugmentNet-HHO ensures robust feature extraction and reconstruction, preserving spatial information essential for accurate classification. …”
Get full text

Multihead Attention U‐Net for Magnetic Particle Imaging–Computed Tomography Image Segmentation by Aniwat Juhong, Bo Li, Yifan Liu, Chia‐Wei Yang, Cheng‐You Yao, Dalen W. Agnew, Yu Leo Lei, Gary D. Luker, Harvey Bumpers, Xuefei Huang, Wibool Piyawattanametha, Zhen Qiu

“…The proposed deep learning model exploits the advantages of the multihead attention mechanism and the U‐Net model to perform segmentation on the MPI‐CT images, showing superb results. …”
Get full text

An improved U-net and attention mechanism-based model for sugar beet and weed segmentation by Yadong Li, Ruinan Guo, Rujia Li, Rongbiao Ji, Mengyao Wu, Dinghao Chen, Cong Han, Ruilin Han, Yongxiu Liu, Yuwen Ruan, Jianping Yang, Jianping Yang

Get full text

CAFU-Net: A Context-Aware Feature Aggregation Network for Lung Nodule Segmentation by Jiachen Hou, Yingqi Lu, Zhougui Ling, Tao Li, Xiangsuo Fan, Yanna Qin, Qingnan Huang

“…To address these issues, this paper proposes an improved U-Net network—CAFU-Net. The network significantly enhances the accuracy and robustness of pulmonary nodule segmentation by integrating context-aware information based on a gating mechanism, a shared-weight triple attention mechanism, and a dual-scale selective convolution kernel structure. …”
Get full text

Online evaluation method for MMC submodule capacitor aging based on CapAgingNet by Xinlan Deng, Youhan Deng, Liang Qin, Weiwei Yao, Min He, Kaipei Liu

“…Subsequently, the CapAgingNet model is introduced, incorporating key technical modules to enhance performance: the Deep Stem module, which extracts larger receptive fields through multiple convolution layers and mitigates the impact of data sparsity in capacitor aging on feature extraction; the efficient channel attention (ECA) module, utilizing one-dimensional convolution for dynamic weighting to adjust the importance of each channel, thereby enhancing the ability of the model to process high-dimensional features in capacitor aging data; and the multiscale feature fusion (MSF) module, which integrates capacitor aging information across different scales by combining fine-grained and coarse-grained features, thus improving the capacity of the model to capture high-frequency variation characteristics. …”
Get full text

Microc alcification Segmentation Using Modified U-net Segmentation Network from Mammogram Images by Md Shamim Hossain

Get full text

GHFormer-Net: Towards more accurate small green apple/begonia fruit detection in the nighttime by Meili Sun, Liancheng Xu, Rong Luo, Yuqi Lu, Weikuan Jia

“…In this paper, we propose an optimized Retinanet-PVTv2 by introducing the gradient harmonizing mechanism to detect small green apple/begonia fruits in the night environment, namely GHFormer-Net. Specifically, PVTv2-B1 based on Transformer is applied as the backbone network to extract feature information from the global receptive, which breaks the limitation that spatial convolution is utilized to extract information from the local area; Next, with the help of FPN, shallow features and high-level features with rich semantic information are incorporated by lateral connections and a top-down structure to generate multi-scale feature maps; Then, a detector of RetinaNet is applied to detect green fruits. …”
Get full text

Dependency-based fault diagnosis approach for SOA-based systems using Colored Petri Nets by Guru Prasad Bhandari, Ratneshwer

Get full text

Persistence of Untreated Bed Nets in the Retail Market in Tanzania: A Cross-Sectional Survey by Benjamin Kamala, Dana Loll, Ruth Msolla, David Dadi, Peter Gitanya, Charles Mwalimu, Frank Chacky, Stella Kajange, Mwinyi Khamis, Sarah-Blythe Ballard, Naomi Serbantez, Stephen Poyer

“…The study used mixed methods: (1) a quantitative survey among sampled outlets supported by photographic documentation of all net products and (2) key informant interviews of retailers and wholesalers. …”
Get full text

SulfideNet: Deep Learning for Detection and Quantification of Iron Sulfides in Drill Core Scans by Maral Rasoolijaberi, Chuiqing Zeng, John Manchuk, Michelle Legat, Abigail Jackson-Gain

“…SulfideNet was evaluated with multiple validation strategies at various scales. …”
Get full text

Using OpenPrescribing.net to evaluate neighbourhood-level prescribing of inhalers for asthma and COPD by Thomas C. Richards, Alison Heppenstall, Rachel A. Oldroyd, Victoria Barr, Roger Beecham

“…Using data from OpenPrescribing.net, we estimate prescription items dispensed for different inhaler drugs in England at Lower Layer Super Output Area or ‘neighbourhood’ level. …”
Get full text

Evaluation of COVID-19 vaccine implementation in a large safety net health system by Jennifer C. Chen, Jennifer C. Chen, Griselda Gutierrez, Griselda Gutierrez, Rachel Kamran, Jill Terry, Jill Terry, Armenui Telliyan, Armenui Telliyan, Camilo Zaks, Savanna L. Carson, Arleen Brown, Karen Kim, Karen Kim

“…The ten identified themes may inform future implementations in safety net health systems.…”
Get full text

The seven deadly sins: measuring overvaluation of social media with the Plan-net 25 scale by Víctor Ciudad-Fernández, Alfredo Zarco-Alpuente, Tamara Escrivá-Martínez, Elena Gomis-Vicent, Begoña Espejo, Óscar Lecuona, José C. Perales, Olatz Lopez-Fernandez, Rosa Baños

“…This study aimed to develop and validate the Plan-net 25 scale, which was designed to assess overvaluation of the relative utility of social media in adolescents. …”
Get full text

Comprehensive evaluation of U-Net based transcranial magnetic stimulation electric field estimations by Taylor A Berger, Kathleen Mantell, Zachary Haigh, Nipun Perera, Ivan Alekseichuk, Alexander Opitz

“…Deep learning (DL) methods, particularly U-Nets, are being investigated for TMS electric field estimations. …”
Get full text

Fusing Horizon Information for Visual Localization by Cheng Zhang, Yuchan Yang, Yiwei Wang, Helu Zhang, Guangyao Li

“…During the BEV map matching process in OrienterNet, visual localization relies primarily on horizontal image information. …”
Get full text

Early Detection and Classification of Diabetic Retinopathy: A Deep Learning Approach by Mustafa Youldash, Atta Rahman, Manar Alsayed, Abrar Sebiany, Joury Alzayat, Noor Aljishi, Ghaida Alshammari, Mona Alqahtani

Get full text

Information and Communications Technology Services Policy by Kabale University

Get full text

CONFLICTS IN PLANNING IMPLEMENTATION ON THE INFORMAL CITY by CARLOS JIMÉNEZ ROMERA, JUAN MARTÍN PIAGGIO

Get full text

Bibliometrics of electronic journals in information science by Donald T. Hawkins

Get full text