Optimizing credit card fraud detection with random forests and SMOTE by P. Sundaravadivel, R. Augustian Isaac, D. Elangovan, D. KrishnaRaj, V. V. Lokesh Rahul, R. Raja

“…In this article, a machine learning-based system to detect fraudulent transactions using a publicly available dataset of credit card transactions. …”
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Molecular detection of dengue virus from febrile patients in Ghana by Joseph Humphrey Kofi Bonney, Deborah Pratt, Magdalene Ofori, Takaya Hayashi, Abigail Abankwa, Yaw Awuku-Larbi, Selassie Kumordjie, Bright Agbodzi, Musah Salisu, Ama Amankwa Ofosua Mante, Stella Bour, Miriam Eshun, Juliana Naa Dedei Acquah Amaning, Prince Ketorwoley, Nancy Enimil, Joel Koomson, Gertrude Stephens, Franklin Asiedu-Bekoe, Dennis Laryea, Samuel Dadzie, Toshihiko Suzuki

“…Results Dengue virus (DENV) was detected in eight patient samples that subtyped to serotypes 1, 2, and 3. …”
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SmellyCode++: Multi-Label Dataset for Code Smell Detection by Nawaf Alomari, Amal Alazba, Hamoud Aljamaan, Mohammad Alshayeb

“…Results: The dataset comprises 107,554 samples with multi-label annotations, improving detection realism. …”
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An Integrated Fault Identification Approach for Rolling Bearings Based on Dual-Tree Complex Wavelet Packet Transform and Generalized Composite Multiscale Amplitude-Aware Permutatio... by Wuqiang Liu, Xiaoqiang Yang, Shen Jinxing

“…Consequently, timely detection and judgment of the current working status of the bearing is the key to improving productivity. …”
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Real-Time Computing Strategies for Automatic Detection of EEG Seizures in ICU by Laura López-Viñas, Jose L. Ayala, Francisco Javier Pardo Moreno

“…The k-nearest neighbours (KNN) model was the most effective in our overall sample, achieving an average F1 score of 0.76. For specific subgroups, different models showed superior performance: Decision Tree for ‘Epilepsy’ (average F1 score of 0.80) and ‘Craniencephalic Trauma’ (average F1 score of 0.84), Random Forest for ‘Cardiorespiratory Arrest’ (average F1 score of 0.89) and ‘Brain Haemorrhage’ (average F1 score of 0.84). …”
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Phytochemicals and Effect of Blanching Time on Oxalate and Phytate Content in Leaves of Some Non-conventional Vegetables in Gombi Local Government Area, Adamawa State, Nigeria by A. H. Boda, B. F. Dowell, D. W. Malgwi, W. Emmanuel

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Phytochemicals and Effect of Blanching Time on Oxalate and Phytate Content in Leaves of Some Non-conventional Vegetables in Gombi Local Government Area, Adamawa State, Nigeria by A. H. Boda, B. F. Dowell, D. W. Malgwi, W. Emmanuel

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Effect of Forest Species Canopy on the Accumulation of Toxic Metals in the Soil Within and Around Macedonia Airport, Northern Greece by Ioannis Mousios, Marianthi Tsakaldimi, Evangelia Gkini, Theocharis Chatzistathis, Petros Ganatsas

“…Some differences were observed in the content of toxic metals studied between the samples taken inside and outside the airport, and some effects of tree canopy were noted. …”
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Simulated Herbivory Induces Volatile Emissions of Oak Saplings, but Parasitoid Communities Vary Mainly Among Forest Sites by Freerk Molleman, Priscila Mezzomo, Manidip Mandal, Soumen Mallick, Martin Moos, Petr Vodrážka, Andreas Prinzing, Urszula Walczak

“…We know little about how parasitoids of herbivorous insects use herbivore-induced volatile organic compounds (VOCs) to locate potential hosts on saplings in forests, and how this depends on tree composition. Therefore, we performed an experiment in a forest in Poland where we placed pairs of oak saplings (<i>Quercus robur</i> or <i>Q. petraea</i>) in neighborhoods dominated by oak, beech, or pine trees. …”
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The Effect of Afforestation with Diverse Species on Carbon Sequestration in Semi-Arid Areas of Kurdistan Province (Case Study: Sanandaj) by Hamed Joneidi, Mohammad Amani Soofi, Bahram gholinejad

“…No significant difference was detected between the mixed stand (81.61 tons ha⁻¹ yr⁻¹) and the F. rotundifolia stand (74.84 tons ha⁻¹ yr⁻¹) regarding total organic carbon storage. …”
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Mosquito-based detection of retroviruses and arboviruses in Senegal: expanding the scope of xenosurveillance by Marie Henriette Dior Ndione, El Hadji Ndiaye, Madeleine Dieng, Babacar Diouf, Safietou Sankhé, Diawo Diallo, Mouhamed Kane, Ndeye Marie Sene, Maimouna Mbanne, Faty Amadou Sy, Seynabou Mbaye Ba Souna Diop, Serge Freddy Moukaha Doukanda, Amadou Alpha Sall, Ousmane Faye, Ndongo Dia, Scott C. Weaver, Oumar Faye, Mawlouth Diallo, Gamou Fall, Alioune Gaye, Moussa Moise Diagne

“…Phylogenetic analysis was conducted using MAFFT and IQ-TREE to compare the detected sequence with global exogenous and endogenous JSRV references. …”
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MSO‐DETR: Metric space optimization for few‐shot object detection by Haifeng Sima, Manyang Wang, Lanlan Liu, Yudong Zhang, Junding Sun

“…Abstract In the metric‐based meta‐learning detection model, the distribution of training samples in the metric space has great influence on the detection performance, and this influence is usually ignored by traditional meta‐detectors. …”
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Handling Class Imbalanced Data in Sarcasm Detection with Ensemble Oversampling Techniques by Ya-Han Hu, Ting-Hsuan Liu, Chih-Fong Tsai, Yu-Jung Lin

“…In this study, we employ five oversampling algorithms: Synthetic Minority Oversampling TEchnique (SMOTE), Adaptive Synthetic Sampling (ADASYN), polynom-fit-SMOTE, Proximity Weighted Synthetic Sampling (ProWSyn), and SMOTE with Instance Prioritization and Filtering (SMOTE_IPF). …”
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Microscopic and molecular detection of Cytauxzoon spp. in cats in Mosul city, Iraq by Sura S. Aghwan, Enas S. Hussein, Salam A Esmaeel

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Advanced Hybrid Machine Learning Model for Accurate Detection of Cardiovascular Disease by Navita, Pooja Mittal, Yogesh Kumar Sharma, Umesh Kumar Lilhore, Sarita Simaiya, Kashif Saleem, Ehab Seif Ghith

“…In the first stage of the proposed hybrid model, the data imbalance problem is solved using a hybrid sampling technique named Synthetic Minority Oversampling Technique-Edited Nearest Neighbors Rule. …”
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Fast Detection and Classification of Ink by Ion Mobility Spectrometry and Artificial Intelligence by Matej Petrik, Emanuel Matas, Martin Sabo, Michal Ries, Stefan Matejcik

“…In this work we present a new way of detection and classification of inks from ballpoint pens of different producers, using the ion mobility spectrometry (IMS) technique and artificial intelligence methods. …”
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Improving Forest Above-Ground Biomass Estimation Accuracy Using Multi-Source Remote Sensing and Optimized Least Absolute Shrinkage and Selection Operator Variable Selection Method by Er Wang, Tianbao Huang, Zhi Liu, Lei Bao, Binbing Guo, Zhibo Yu, Zihang Feng, Hongbin Luo, Guanglong Ou

“…Sentinel 2, Sentinel 1, Landsat 8 OLI, ALOS-2 PALSAR-2, Light Detection and Ranging, and Digital Elevation Model (DEM) data were used in this study. …”
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High genetic diversity detected in olives beyond the boundaries of the Mediterranean Sea. by Mehdi Hosseini-Mazinani, Roberto Mariotti, Bahareh Torkzaban, Massoma Sheikh-Hassani, Saeedeh Ataei, Nicolò G M Cultrera, Saverio Pandolfi, Luciana Baldoni

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Classification performance improvement in imbalanced circumferential guided wave detection data by Yu-hang Zhang, Xu Zhang, Yuan-hang Gu, Li-min Fu, Xin-ran Su, Jun-dong Yuan, Qiao Wu

“…However, the scarcity of defective samples in non-destructive testing datasets poses a significant challenge due to data imbalance. …”
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Improved isolation and PCR detection of Phytophthora agathidicida oospores from soils by Jade T.T. Palmer, Jochem N.A. Vink, Leticia M. Castro, Oliver J.S. Craig, Emily E. Davison, Monica L. Gerth

“…Performance assessment against 65 soil samples from kauri forests revealed P. agathidicida in 69% of samples compared to only 11% detected by existing methods. …”
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