Design of current differential protection system for distribution network based on 5G wireless communication by FENG Xinglong, KONG Fengfeng, HUO Kailong, ZHOU Guohua, ZHAO Fang

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Knee Osteoarthritis Diagnosis With Unimodal and Multi-Modal Neural Networks: Data From the Osteoarthritis Initiative by Xin Yu Teh, Pauline Shan Qing Yeoh, Tao Wang, Xiang Wu, Khairunnisa Hasikin, Khin Wee Lai

“…Previous studies on automated knee OA diagnosis have primarily relied on unimodal data, often overlooking the valuable information present in multi-modal data. Multi-modal learning, which integrates information from various modalities, is increasingly recognized for its potential to enhance diagnostic performance in medical applications. …”
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A lightweight mechanism for vision-transformer-based object detection by Yanming Ye, Qiang Sun, Kailong Cheng, Xingfa Shen, Dongjing Wang

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Evaluation of implementing drug checking services for anabolic androgenic steroids in Switzerland: a pilot study by Raphael Magnolini, Michel Kaeppeli, Dominique Schori, Philip Bruggmann, Oliver Senn, ‘DIZ“ Group

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Land cover change mitigated 20 % of the total increased evapotranspiration in tropical Lancang-Mekong River Basin during 2001–2019 by Houbing Chen, Yaoliang Chen, Lamin R. Mansaray, Longwei Li, Shusen Wang

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Deep learning–assisted diagnosis of acute mesenteric ischemia based on CT angiography images by Lei Song, Xuesong Zhang, Jian Zhang, Jie Wu, Jinkai Wang, Feng Wang

“…DCA indicated that the Fusion Model provided a greater net benefit than those of models based solely on imaging and clinical information across the majority of the reasonable threshold probabilities.ConclusionThe incorporation of CTA images and clinical information into the model markedly enhances the diagnostic accuracy and efficiency of AMI. …”
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Analisis Pengaruh Faktor Teknologi, Organisasi, dan Manusia Terhadap Kesuksesan Penerapan E-voting System pada Aspek Penggunaan Sistem, Kepuasan Pengguna, dan Manfaat (Studi Kasus... by Muhammad Rosyid Mubarok, Aditya Rachmadi, Satrio Hadi Wijoyo

“…Organizational factors and system use have a significant effect on net benefits. …”
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Identification and grading method of HCAs in gas pipelines based on multisource data fusion by Haoran TANG, Junnan XIONG, Zhiwei YONG, Wenjie CHEN, Aoru LIU, Qisheng WANG, Huiwen XIAO, Rongkang WANG

“…In recent years, the integration of satellite imagery data and Geographic Information System (GIS) technology has alleviated these deficiencies to some extent. …”
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Trends of Injuries due to Gender Based Violence, Uganda, 2012 – 2016, a retrospective descriptive analysis by Claire Biribawa, Rebecca Nuwemastiko, Frederick Oporia, Ezekiel Baguma, Lilian Bulage, Denis Okethwangu, Alex Riolexus Ario, Olive Kobusingye

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Deep learning-based classification of lymphedema and other lower limb edema diseases using clinical images by Thanat Lewsirirat, Taravichet Titijaroonroj, Sirin Apichonbancha, Ason Uthatham, Veera Suwanruangsri, Nirut Suwan, Surakiat Bokerd, Tossapol Prapassaro, Wanchai Chinchalongporn, Nutcha Yodrabum

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AI-Driven UAV Surveillance for Agricultural Fire Safety by Akmalbek Abdusalomov, Sabina Umirzakova, Komil Tashev, Nodir Egamberdiev, Guzalxon Belalova, Azizjon Meliboev, Ibragim Atadjanov, Zavqiddin Temirov, Young Im Cho

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Effective reduction of unnecessary biopsies through a deep-learning-assisted aggressive prostate cancer detector by Nuno M. Rodrigues, José Guilherme de Almeida, Ana Sofia Castro Verde, Ana Mascarenhas Gaivão, Carlos Bireiro, Inês Santiago, Joana Ip, Sara Belião, Celso Matos, Leonardo Vanneschi, Manolis Tsiknakis, Kostas Marias, Daniele Regge, Sara Silva, The ProCAncer-I Consortium, Nickolas Papanikolaou

“…In this work, we utilize both the highly heterogeneous ProstateNet dataset, and the PI-CAI dataset, to develop accurate aggressive disease detection models.…”
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A Welding Defect Detection Model Based on Hybrid-Enhanced Multi-Granularity Spatiotemporal Representation Learning by Chenbo Shi, Shaojia Yan, Lei Wang, Changsheng Zhu, Yue Yu, Xiangteng Zang, Aiping Liu, Chun Zhang, Xiaobing Feng

“…., reflected laser spots from spatter misclassified as porosity defects) and the limited interpretability of deep learning models, this paper proposes a multi-granularity spatiotemporal representation learning algorithm based on the hybrid enhancement of handcrafted and deep learning features. A MobileNetV2 backbone network integrated with a Temporal Shift Module (TSM) is designed to progressively capture the short-term dynamic features of the molten pool and integrate temporal information across both low-level and high-level features. …”
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Data-driven decision-making for district health management: a cluster-randomised study in 24 districts of Ethiopia by Joanna Schellenberg, Tanya Marchant, Lars Åke Persson, Bilal Iqbal Avan, Mehret Dubale, Girum Taye

“…Outcomes included health information system performance and governance of data-driven decision-making. …”
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Environmental awareness factor of used cell phones by N. Wibowo, R. Nurcahyo, D.S. Gabriel

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ToxiPep: Peptide toxicity prediction via fusion of context-aware representation and atomic-level graph by Jiahui Guan, Peilin Xie, Dian Meng, Lantian Yao, Dan Yu, Ying-Chih Chiang, Tzong-Yi Lee, Junwen Wang

“…A cross-attention mechanism aligns and fuses these two feature modalities, enabling the model to capture intricate relationships between sequence and structural information. ToxiPep outperforms several state-of-the-art tools, including ToxinPred2, CSM-Toxin, PepNet, and ToxinPred3, on both internal and independent test sets. …”
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LMS Software study and a practical application in Language and Literature Didactics / Aplicación práctica en Didáctica de la lengua y la literatura del software LMS by Raquel Portugal Iglesias

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Evaluation of Machine Learning Models for Estimating Grassland Pasture Yield Using Landsat-8 Imagery by Linming Huang, Fen Zhao, Guozheng Hu, Hasbagan Ganjurjav, Rihan Wu, Qingzhu Gao

“…These data, combined with field-measured pasture yields, were employed to construct models using four machine learning algorithms: elastic net regression (Enet), Random Forest (RF), Extreme Gradient Boosting (XGBoost), and Support Vector Machine (SVM). …”
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A new deep learning model for predicting IMRT dose distributions for lung cancer with dose masks by Xuezhen Feng, Xuezhen Feng, Mingqing Wang, Xinyan Lin, Xinyan Lin, Can Li, Can Li, Yuxi Pan, Guoping Zuo, Ruijie Yang

“…Purpose3D U-Net deep neural networks are widely used for predicting radiotherapy dose distributions. …”
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Analysis of Sexually Transmitted Infections data in Chegutu district, Zimbabwe, 2015 to 2019: Secondary data analysis by Memory Chimsimbe, Pride Mucheto, Mujinga Karakadzai, Tsitsi Patience Juru, Emmanuel Govha, Notion Tafara Gombe, Mufuta Tshimanga

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