Victim Verification with the Use of Deep Metric Learning in DVI System Supported by Mobile Application by Zbigniew Piotrowski, Marta Bistroń, Gabriel Jekateryńczuk, Paweł Kaczmarek, Dymitr Pietrow

“…A neural identification module was developed and trained on approximately 13,000 images from the LFW dataset and fine-tuned using 400 simulated PostMortem (PM) and AnteMortem (AM) images. …”
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Data from a multi-year targeted proteomics study of a longitudinal birth cohort of type 1 diabetes by Lisa M. Bramer, Ernesto S. Nakayasu, Javier E. Flores, Jennifer E. Van Eyk, Michael J. MacCoss, Hemang M. Parikh, Thomas O. Metz, Bobbie-Jo M. Webb-Robertson

“…The targeted proteomic dataset presented here can be used as a resource for new computational methods development, such as for batch correction, as well as for benchmarking and comparing the performance of different methods/tools.…”
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Residual Life Prediction of SA-CNN-BILSTM Aero-Engine Based on a Multichannel Hybrid Network by Yonghao He, Changjun Wen, Wei Xu

“…Specifically, for the two datasets, their mean absolute errors were only 11.47 and 11.76, the root-mean-square error values were only 12.26 and 12.78, and the scoring function values were only 195 and 227.…”
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A Novel Model to Detect and Classify Fresh and Damaged Fruits to Reduce Food Waste Using a Deep Learning Technique by T. Bharath Kumar, Deepak Prashar, Gayatri Vaidya, Vipin Kumar, S. Deva Kumar, F. Sammy

“…For classifying photographs into fresh and decaying fruits, softmax is used, while CNN obtains fruit image properties. A dataset from Kaggle was used to evaluate the suggested model’s performance, and it achieved a 97.14 percent accuracy rate. …”
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Comparison of Feature Selection and Feature Extraction Role in Dimensionality Reduction of Big Data by Haidar Khalid Malik, Nashaat Jasim Al-Anber, Fuad AbdoEsmail Al- Mekhlafi

“… Recently, researchers intensified their efforts on a dataset with a large number of features named Big Data because of the technological revolution and the development in the data science sector. …”
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Gender and Handedness Prediction from Offline Handwriting Using Convolutional Neural Networks by Ángel Morera, Ángel Sánchez, José Francisco Vélez, Ana Belén Moreno

“…Our research was carried out on two public handwriting databases: the IAM dataset containing English texts and the KHATT one with Arabic texts. …”
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Lightweight marine biodetection model based on improved YOLOv10 by Wei Pan, Jiabao Chen, Bangjun Lv, Likun Peng

“…Additionally, the model incorporates the DysnakeConv module within the C2f structure to enhance feature extraction, along with the Powerful-IOU (PIOU) loss function for better data fitting. Testing on URPC dataset shows that YOLOv10-AD achieves an mAP of 85.7%, with a parameter count of 2.45 M, 6.2 GFLOPs, a model size of 5.0 M, and a frame rate of 156 FPS. …”
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Surface defect detection on industrial drum rollers: Using enhanced YOLOv8n and structured light for accurate inspection. by Guofeng Qin, Qinkai Zou, Mengyan Li, Yi Deng, Peiwen Mi, Yongjian Zhu, Hao Liu

“…Future work could explore rotated bounding boxes and broader dataset diversity to enhance generalization in real-world applications.…”
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The Different Characteristics of Cirrus Optical Coherence Tomography between Superior Segmental Optic Hypoplasia and Normal Tension Glaucoma with Superior Retinal Nerve Fiber Defec... by Jong Chul Han, Da Ye Choi, Changwon Kee

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Hypopigmented mycosis fungoides: an important differential diagnosis of hypochromias in childhood by Maria Fernanda de Almeida Cavalcante Aranha, Maria Amélia Lopes dos Santos, Carla Andréa Avelar Pires, Leônidas Braga Dias Júnior, Rafaela Garcia Pereira, Marina Lopes de Freitas Freire, Tamara Tavares da Cruz, Luiza Rennó Rocha de Oliveira

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An Improved Car-Following Speed Model considering Speed of the Lead Vehicle, Vehicle Spacing, and Driver’s Sensitivity to Them by Shuaiyang Jiao, Shengrui Zhang, Zongzhi Li, Bei Zhou, Dan Zhao

“…Further, model validation is carried out using an independent NGSIM dataset by comparing vehicle speed predictions made by the calibrated CFS model with Helbing-Tilch model and Yang et al. model as benchmarks. …”
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Weighted fuzzy C means and enhanced adaptive neuro-fuzzy inference based chronic kidney disease classification by Maria Lincy Jacquline, Natarajan Sudha

“…MKSVM categorizes medical data using chosen dataset criteria. The accuracy of the classifier will be impacted by any range of variations in data obtained for this study. …”
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The Influence of Data Length on the Performance of Artificial Intelligence Models in Predicting Air Pollution by Mohamed Khalid AlOmar, Faidhalrahman Khaleel, Abdulwahab Abdulrazaaq AlSaadi, Mohammed Majeed Hameed, Mohammed Abdulhakim AlSaadi, Nadhir Al-Ansari

“…Accordingly, nine different ratios (50/50, 55/45, 60/40, 65/35, 70/30, 75/25, 80/20, 85/15, and 90/10) are employed to split the data into training and testing datasets for assessing the performance of applied models. …”
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Improving detection of Parkinson’s disease with acoustic feature optimization using particle swarm optimization and machine learning by Elmoundher Hadjaidji, Mohamed Cherif Amara Korba, Khaled Khelil

“…The particle swarm optimization algorithm is employed for this purpose, with the Oxford PD dataset serving as the source data for training and validation. …”
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Prediction Model of Phosphorus Content at the End Point of Electroslag Remelting Based on MI and XGBoost Algorithms by Liu　Yuxiao, Dong　Yanwu, Jiang　Zhouhua, Chen　Xi

“…The MI method is utilized for feature selection and assessment of factors affecting the endpoint phosphorus content. The dataset after feature selection serves as the input variables for the model.The MI-XGBoost model is trained and validated using production data. …”
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Transfer Across Episodes of Analogical Reasoning: The Role of Visuo-Spatial Schemas by Jairo A. Navarrete-Ulloa, Maximo Trench

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Decision Tree Ensembles to Predict Coronavirus Disease 2019 Infection: A Comparative Study by Amir Ahmad, Ourooj Safi, Sharaf Malebary, Sami Alesawi, Entisar Alkayal

“…Machine learning algorithms have been applied to various kinds of datasets to predict Covid-19 positive cases. The machine learning algorithms were applied on a Covid-19 dataset based on commonly taken laboratory tests to predict Covid-19 positive cases. …”
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A Comparison between Atlantic Canadian and National Correction Equations to Improve the Accuracy of Self-Reported Obesity Estimates in Atlantic Canada by Cynthia L. Murray, Gordon W. Walsh, Sarah Connor Gorber

“…Also, to compare the accuracy of the national equations to equations developed specifically for the Atlantic Canadian population. Methods. The dataset consisted of Canadian Community Health Survey (CCHS) 2007-2008 data collected on 17,126 Atlantic Canadians and a subsample of adults, who provided measured height and weight (MHW) data. …”
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Analysing hydrological impacts of controlled drainage, peat thickness and groundwater fluxes in cultivated peat soils by Mika Tähtikarhu, Timo A. Räsänen, Jari Hyväluoma, Arndt Piayda, M. Myllys

“…A hydrological model was combined with a comprehensive field-scale dataset, consisting of several field plots with controlled and regular subsurface drainage, and with varying peat thickness. …”
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ARCS: Adaptive Reinforcement Learning Framework for Automated Cybersecurity Incident Response Strategy Optimization by Shaochen Ren, Jianian Jin, Guanchong Niu, Yang Liu

“…Using a comprehensive dataset of 20,000 cybersecurity incidents, we demonstrate that ARCS achieves 27.3% faster incident resolution times and 31.2% higher defense effectiveness compared to traditional rule-based approaches. …”
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