Klasifikasi Citra Sampah Menggunakan Support Vector Machine dengan Ekstraksi Fitur Gray Level Co-Occurrence Matrix dan Color Moments by Iffa Zainan Nisa, Sukmawati Nur Endah, Priyo Sidik Sasongko, Retno Kusumaningrum, Khadijah Khadijah, Rismiyati Rismiyati

“…This result is used to test the 30 test image outside the TrashNet dataset, and achieve accuracy of 70%. …”
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Deep-Learning-Based Land Cover Mapping in Franciacorta Wine Growing Area by Girma Tariku, Isabella Ghiglieno, Andres Sanchez Morchio, Luca Facciano, Celine Birolleau, Anna Simonetto, Ivan Serina, Gianni Gilioli

“…We introduce an efficient methodology for preparing semantic segmentation datasets and contribute the “Land Cover Aerial Imagery” (LICAI) dataset for semantic segmentation. …”
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Effects of feature selection and normalization on network intrusion detection by Mubarak Albarka Umar, Zhanfang Chen, Khaled Shuaib, Yan Liu

“…However, the advent of larger IDS datasets has negatively impacted the performance and computational complexity of AI-based IDSs. …”
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Risk of Dysglycemia in Pregnancy amongst Kenyan Women with HIV Infection: A Nested Case-Control Analysis from the STRiDE Study by Sonak D. Pastakia, Wycliffe K. Kosgei, Astrid Christoffersen-Deb, Benson Kiragu, John N. Hector, Gertrude Anusu, Ponnusamy Saravanan

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Corticomuscular Coupling Alterations During Elbow Isometric Contraction Correlated With Clinical Scores: An fNIRS-sEMG Study in Stroke Survivors by Xiaohan Wang, Weidong Li, Rong Song, Di Ao, Huijing Hu, Le Li

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Image depth estimation assisted by multi-view projection by Liman Liu, Jinshan Tian, Guansheng Luo, Siyuan Xu, Chen Zhang, Huaifei Hu, Wenbing Tao

“…Experimental results on the KITTI dataset, vKITTI dataset, and SeasonDepth dataset demonstrate that our method achieves significant improvements compared to other state-of-the-art depth estimation techniques. …”
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Penyeimbangan Kelas SMOTE dan Seleksi Fitur Ensemble Filter pada Support Vector Machine untuk Klasifikasi Penyakit Liver by Muhammad Amir Nugraha, Muhammad Itqan Mazdadi, Andi Farmadi, Muliadi, Triando Hamonangan Saragih

“…Untuk menyeimbangkan kelas pada dataset, digunakan metode Synthetic Minority Oversampling Technique (SMOTE). …”
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Increased Mortality After Lower Extremity Amputation in a Danish Nationwide Cohort: The Mediating Role of Postoperative Complications by Brix ATH, Petersen TG, Nymark T, Schmal H, Lindberg-Larsen M, Rubin KH

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VRU-YOLO: A Small Object Detection Algorithm for Vulnerable Road Users in Complex Scenes by Yunxiang Liu, Yuqing Shi

“…Moreover, in a generalization test conducted on the remote sensing small target dataset VisDrone2019, the VRU-YOLO model achieved an mAP50 of 31%. …”
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Association mapping and candidate gene identification for yield traits in European hazelnut (Corylus avellana L.) by Asena Akköse Baytar, Ertuğrul Gazi Yanar, Anne Frary, Sami Doğanlar

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Design of an Evolutionary Approach for Intrusion Detection by Gulshan Kumar, Krishan Kumar

“…A novel evolutionary approach is proposed for effective intrusion detection based on benchmark datasets. The proposed approach can generate a pool of noninferior individual solutions and ensemble solutions thereof. …”
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Adaptive Spatial Regularization Target Tracking Algorithm Based on Multifeature Fusion by Turdi Tohti, Xifeng Guo, Askar Hamdulla

“…At the same time, in the OTB-2013 dataset, it has increased by 3.4% and 6.3%, respectively, on the basis of the benchmark algorithm. …”
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Body Composition in Adult Patients with Thalassemia Major by Marianna Vlychou, Evangelos Alexiou, Paschalis Thriskos, Ioannis Fezoulidis, Katerina Vassiou

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Understanding Logical-Shift Error Propagation in Quanvolutional Neural Networks by Marzio Vallero, Emanuele Dri, Edoardo Giusto, Bartolomeo Montrucchio, Paolo Rech

“…We characterize the error propagation in the quantum circuit implementing a single convolution and then in various designs of the same QNN, varying the dataset and the network depth. We track the logical-shift error propagation through the qubits, channels, and subgrids, identifying the faults that are more likely to cause misclassifications. …”
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Data on insect biodiversity in a Chinese potato agroecosystem from DNA metabarcoding by Changjin Lin, Chenxi Liu, Lilin Chen, Hongmei Cheng, Muhammad Ashfaq, Paul D. N. Hebert, Yulin Gao

“…The analysis assigned sequences to 1,688 Barcode Index Numbers (BINs) as species proxies derived from the Global Insecta Library, along with 166 BINs from the China Insecta dataset. This research provides valuable insights for barcoding local biodiversity and developing regional reference libraries and presents a comprehensive dataset of insect biodiversity within potato agroecosystems, encompassing 1,707 BINs linked to known insect taxa.…”
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Diagnosis and Detection of Alzheimer’s Disease Using Learning Algorithm by Gargi Pant Shukla, Santosh Kumar, Saroj Kumar Pandey, Rohit Agarwal, Neeraj Varshney, Ankit Kumar

“…Results are computed on dataset and show that it outperformed with exiting work in terms of accuracy is 97.57% and sensitivity is 97.60%.…”
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A Differentially Driven Dual-Polarized Dual-Wideband Complementary Antenna for 2G/3G/LTE Applications by Botao Feng, Shufang Li, Wenxing An, Weijun Hong, Sixing Yin

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A Smart Intelligence System for Hen Breed and Disease classification using Extra Tree classifier-based Ensemble Technique by Galib Muhammad Shahriar Himel, Md. Masudul Islam

“…In this study, we employed the self-collected dataset named ‘GalliformeSpectra’ for hen breed recognition, alongside a publicly accessible dataset of feces images to identify diseases. …”
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Vision Transformer untuk Klasifikasi Kematangan Pisang by Arya Pangestu, Bedy Purnama, Risnandar Risnandar

“…Evaluasi dilakukan menggunakan metode cross-dataset dengan 5.068 citra pisang yang berbeda dari dataset latih. …”
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An Alternative Method for Traffic Accident Severity Prediction: Using Deep Forests Algorithm by Jing Gan, Linheng Li, Dapeng Zhang, Ziwei Yi, Qiaojun Xiang

“…Motivated by this benefit, this study employs the UK road safety dataset to propose a novel method for predicting the severity of traffic accidents based on the Deep Forests algorithm. …”
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