Evaluation of Feature Transformation and Machine Learning Models on Early Detection of Diabetes Mellitus by Ahmed Ali Linkon, Inshad Rahman Noman, Md Rashedul Islam, Joy Chakra Bortty, Kanchon Kumar Bishnu, Araf Islam, Rakibul Hasan, Masuk Abdullah

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Designing green robots with environmental sustainability by applying the concept of multi-criteria decision making by V. Sathiya, S. Mahalakshmi, S. Ramabalan, M. Chinnadurai

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Multi-Step Preprocessing With UNet Segmentation and Transfer Learning Model for Pepper Bell Leaf Disease Detection by Aisha Ahmed AlArfaj, Abdulaziz Altamimi, Turki Aljrees, Shakila Basheer, Muhammad Umer, Md. Abdus Samad, Shtwai Alsubai, Imran Ashraf

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A lightweight and explainable CNN model for empowering plant disease diagnosis by Chiranjit Pal, Swastik Karmakar, Imon Mukherjee, Partha Pratim Chakrabarti

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A review on multi-omics integration for aiding study design of large scale TCGA cancer datasets by Eonyong Han, Hwijun Kwon, Inuk Jung

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Evaluating climatic variability's impact on milk yield across climate zones: A machine learning-based comparative study of Switzerland and Thailand by Boonyarat Phadermrod, Varunya Attasena

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circGPAcorr: an integrative tool for functional annotation of circular RNAs using expression data by Petr Ryšavý, Alikhan Anuarbekov, Michaela Dostálová Merkerová, Jiří Kléma

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Data-Driven Spatial Analysis of Reforestation in Pakistan: Identifying Optimal Locations for Sustainable Forest Growth and Climate Change Mitigation by Amna Faisal, Rafia Mumtaz, Muhammad Deedahwar Mazhar Qureshi, Muhammad Ali Tahir, N. Z. Jhanjhi, Mehedi Masud, Mohammad Shorfuzzaman

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Enhanced Brain Tumor Segmentation Using CBAM-Integrated Deep Learning and Area Quantification by Rafiqul Islam, Sazzad Hossain

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Swamped with Too Many Articles? GraphRAG Makes Getting Started Easy by Joëd Ngangmeni, Danda B. Rawat

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Dynamic optimization of support parameters and risk prevention and control during tunneling with fractured surrounding rock: a case study of the Gande’er Mountain tunnel project by Gang Wang, Wenpeng Yuan, Feng Jiang, Yujing Jiang, Peng He

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Leveraging FastViT based knowledge distillation with EfficientNet-B0 for diabetic retinopathy severity classification by Jyotirmayee Rautaray, Ali B.M. Ali, Meenakshi Kandpal, Pranati Mishra, Rzgar Farooq Rashid, Farzona Alimova, Mohamed Kallel, Nadia Batool

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Advancement in public health through machine learning: a narrative review of opportunities and ethical considerations by Sumit Singh Dhanda, Deepak Panwar, Chia-Chen Lin, Tarun Kumar Sharma, Deependra Rastogi, Shantanu Bindewari, Anand Singh, Yung-Hui Li, Neha Agarwal, Saurabh Agarwal

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Deep Learning in motion analysis for false start detection in speedway racing by Jacek Krakowian, Łukasz Jeleń

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Recognition of anxiety and depression using gait data recorded by the kinect sensor: a machine learning approach with data augmentation by Milad Shoryabi, Ahmad Hajipour, Afshin Shoeibi, Ali Foroutannia

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PriBeL: A primary betel leaf dataset from field and controlled environmentMendeley Data by Gauri Mane, Raghav Bhise, Rutuja Kadam, Gagandeep Kaur, Devika Verma, Rupali Chopade, Gitanjali Shinde, Ghanshyam G. Tejani, Seyed Jalaleddin Mousavirad

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Explainable Graph Neural Networks for Power Grid Fault Detection by Richard Bosso, Corey Chang, Mahdi Zarif, Yufei Tang

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Revolutionizing Mental Health Sentiment Analysis With BERT-Fuse: A Hybrid Deep Learning Model by Md. Mithun Hossain, Sanjara, Md. Shakil Hossain, Sudipto Chaki, Md. Saifur Rahman, A. B. M. Shawkat Ali

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Diabetic retinopathy detection using adaptive deep convolutional neural networks on fundus images by Rashid Abbasi, Farhan Amin, Amerah Alabrah, Gyu Sang Choi, Salabat Khan, Md. Belal Bin Heyat, Muhammad Shahid Iqbal, Huiling Chen

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Hybrid heterogeneous ensemble learning framework for flood susceptibility mapping in Balochistan, Pakistan by Muhammad Afaq Hussain, Zhanlong Chen, Biswajeet Pradhan, Sansar Raj Meena, Yulong Zhou

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