Intelligent Web-Based Application for Personalized Obesity Management by I Gusti Ngurah Lanang Wijayakusuma, Made Sudarma, I Ketut Gede Darma Putra, Oka Sudana, Minho Jo

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Influence of long-range transported Asian dust on cirrus cloud formation over central Pacific by He Yun, Shen Huijia, Yin Zhenping

“…Cirrus clouds play a vital role in regulating the global radiative balance and climate, with their net radiative forcing determined by microphysical properties, which are strongly related to the ice-nucleating mechanisms, i.e., heterogeneous or homogeneous nucleation. …”
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The Role of Environmental, Social, and Corporate Governance Activities in Cash Holding Policies: The Case of the BIST Sustainability Index by Yusuf Güneysu

“…Likewise, investors can consider non-financial information alongside financial information when making investment decisions. …”
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NEW METHOD FOR BEARING INTELLIGENT DIAGNOSIS BASED ON COMPRESSED SENSING AND MULTILAYER EXTREME LEARNING MACHINE by CHEN WanSheng, WANG Zhen, ZHAO HongJian, WANG FengTao

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Internal Control Systems and Financial Performance of NGOS: A Case of Association Of Volunteers In Service International (Avsi) Kabale Branch - Uganda. by Agwate, Doreen

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Transforming Library and Higher Education Services in Support of Industrialization and Modernization by G. Kabatangare, Tumuhairwe

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CGD-CD: A Contrastive Learning-Guided Graph Diffusion Model for Change Detection in Remote Sensing Images by Yang Shang, Zicheng Lei, Keming Chen, Qianqian Li, Xinyu Zhao

“…Subsequently, a diffusion model is employed to balance the states of nodes within the graph, enabling the co-evolution of adjacency relationships and feature information, thereby aggregating higher-order feature information to obtain superior feature embeddings. …”
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A Sheep Behavior Recognition Approach Based on Improved FESS-YOLOv8n Neural Network by Xiuru Guo, Chunyue Ma, Chen Wang, Xiaochen Cui, Guangdi Xu, Ruimin Wang, Yuqi Liu, Bo Sun, Zhijun Wang, Xuchao Guo

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Transformer-Based Multi-Scale Feature Remote Sensing Image Classification Model by Ting Sun, Jun Li, Xiangrui Zhou, Zan Chen

“…Due to the complexity of backgrounds in RSSC, we require features at different scales to obtain richer scene information. Thus we design a down-sampling module in the model to obtain multi-scale features. …”
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Research on semantic segmentation of parents in hybrid rice breeding based on improved DeepLabV3+ network model by WEN Jia, LIANG Xifeng, WANG Yongwei

“…An extraction method of low-level features with close connection was proposed. The lower-level information and higher-level information were preliminarily concated as the input of the original lower-level information, which enabled the network to obtain more intensive information, thus enhancing the ability of the network to extract details. …”
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Transformer-Based Student Engagement Recognition Using Few-Shot Learning by Wejdan Alarefah, Salma Kammoun Jarraya, Nihal Abuzinadah

“…Improving the recognition of online learning engagement is a critical issue in educational information technology, due to the complexities of student behavior and varying assessment standards. …”
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Detection method of potato leaf disease based on YOLOv5s by Jingtao Li, Hao Chen, Guisong Li, Yueqi Liu, Yanli Yang, Xia Liu, Chang Yi Wang

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Vision-Based UAV Localization on Various Viewpoints by Yee-Ming Ooi, Che-Cheng Chang, Yu-Min Su, Chiao-Ming Chang

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Non-contact current measuring device and method based on TMR array by TAN Wenkai, TANG Xin, YANG Haojie, CHAI Jinchao

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A text classification method by integrating mobile inverted residual bottleneck convolution networks and capsule networks with adaptive feature channels by Tao Jin, Jiaming Liu

“…Abstract This study proposes a novel text classification model, MBConv-CapsNet, to address large-scale text data classification issues in the Internet era. …”
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A Benchmark Dataset and a Framework for Urdu Multimodal Named Entity Recognition by Hussain Ahmad, Qingyang Zeng, Jing Wan

“…The U-MNER framework integrates textual and visual context using Urdu-BERT for text embeddings and ResNet for visual feature extraction, with a Cross-Modal Fusion Module to align and fuse information. …”
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Metode Deteksi Pokok Pohon Secara Automatis pada Citra Perkebunan Sawit Menggunakan Model Convolutional Neural Network (CNN) pada Perangkat Lunak Sistem Informasi Geografis by Samuel Samuel, Kestrilia Rega Prilianti, Hendry Setiawan, Prasetyo Mimboro

“…Pada penelitian ini didemonstrasikan penggunaan metode Convolutional Neural Network (CNN) dengan arsitektur ResNet-34 dan ResNet-50 untuk membangun model deteksi pokok pohon sawit dari citra UAV perkebunan sawit PTPN IV. …”
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Comparing the Estimation Power of Machine Learning Models and Statistical Models in Predicting Profit Component Changes and Selecting the Optimal Model by Maryam Izadi, Ali Ashtab, Akbar Zavari Rezaei

“…MethodsIn this research, using the financial information of 139 manufacturing companies listed on the Tehran Stock Exchange over a 15-year period, from 2008 to 2022, and employing 25 machine learning models and 10 statistical models, the efficiency of machine learning models and statistical models in predicting the direction of changes in profit components including net profit (loss), gross profit (loss), and operating profit (loss) has been compared. …”
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CNN-Based Transfer Learning for 3D Knuckle Recognition by Mohammed Y. Shakor, Nigar M. Shafiq Surameery

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Towards predictive maintenance of hydrogen pressure vessels based on multi-sensor data by Christos Karapanagiotis, Jan Heimann, Eric Duffner, Amir Charmi, Marcus Schukar, Seyedreza Hashemi, Jens Prager

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