Tree-Based Algorithms and Incremental Feature Optimization for Fault Detection and Diagnosis in Photovoltaic Systems by Khaled Chahine

“…A comprehensive dataset analysis is conducted to improve the dataset quality and uncover intricate relationships between features and the target variable. …”
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Mining Key Skeleton Poses with Latent SVM for Action Recognition by Xiaoqiang Li, Yi Zhang, Dong Liao

“…We evaluate the proposed approach on three benchmark action datasets captured by Kinect devices: MSR Action 3D dataset, UTKinect Action dataset, and Florence 3D Action dataset. …”
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Headache after pediatric traumatic brain injury: a comparison between a post-acute sample of children and adolescents and general population by Marina Zeldovich, Leonie Krol, Katrin Cunitz, Christian Auer, Daniel Pinggera, Victoria Schön, Philipp Geiger, Joachim Suss, Inga K. Koerte, Emilie Isager Howe, Nada Andelic, Anna Buchheim, Matthias Gondan, Nicole von Steinbüchel

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Cardiovascular Risk Biomarkers in Women with and Without Polycystic Ovary Syndrome by Manjula Nandakumar, Priya Das, Thozhukat Sathyapalan, Alexandra E. Butler, Stephen L. Atkin

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Block Compressed Sensing of Images Using Adaptive Granular Reconstruction by Ran Li, Hongbing Liu, Yu Zeng, Yanling Li

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A Computational Complexity-Based Method for Predicting Scholars’ Ages through Articles’ Information by Jun Zhang, Xiaoyan Su, Mingliang Hou, Jing Ren

“…Given that there is no completely accurate dataset because of the continuous publication of academic papers, we then apply our method on the incomplete dataset. …”
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Interactions among Carbon Dioxide, Heat, and Chemical Lures in Attracting the Bed Bug, Cimex lectularius L. (Hemiptera: Cimicidae) by Narinderpal Singh, Changlu Wang, Richard Cooper, Chaofeng Liu

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Towards automated recipe genre classification using semi-supervised learning. by Nazmus Sakib, G M Shahariar, Md Mohsinul Kabir, Md Kamrul Hasan, Hasan Mahmud

“…In this study, we present a dataset named the "Assorted, Archetypal, and Annotated Two Million Extended (3A2M+) Cooking Recipe Dataset" that contains two million culinary recipes labeled in respective categories with extended named entities extracted from recipe descriptions. …”
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Minisatellite Isolation and Minisatellite Molecular Marker Development in <i>Citrus limon</i> (L.) Osbeck by Oleg S. Alexandrov, Dmitry V. Romanov

“…In this study, a microsatellite dataset was obtained from the analysis of the <i>Citrus limon</i> (L.) …”
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Digital Camouflage Pattern Design Based on the Biased Random Walk by Yuanying Gan, Chuntong Liu, Zhenxin He, Hongcai Li, Zhongye Liu

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Feature Guided CNN for Baby’s Facial Expression Recognition by Qing Lin, Ruili He, Peihe Jiang

“…To the best of our knowledge, the proposed dataset is the first baby face dataset for analyzing a baby’s face image, which is complementary to the existing adult face datasets and can shed some light on exploring baby face analysis. …”
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Drone Video Anomaly Detection by Future Segmentation Prediction and Spatio- Temporal Relational Modeling by Ahmed Fakhry, Janghoon Lee, Jong Taek Lee

“…Our method achieves state-of-the-art (SOTA) AUC scores of 68.13% on the UIT-ADrone dataset and 73.5% mAUC on the Drone-Anomaly dataset, surpassing previous methods by 2.68% and 5.71% respectively. …”
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Classification of Animal Behaviour Using Deep Learning Models by M. Sowmya, M. Balasubramanian, K. Vaidehi

“…The real time behaviour dataset contains 682 images of animals eating, 300 images of animas sitting and 1002 images of animals standing, therefore, there is a total of 1984 images in the training dataset. …”
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Research on Recommendation Algorithm of Joint Light Graph Convolution Network and DropEdge by Haicheng Qu, Jiangtao Guo, Yanji Jiang

“…For the Yelp2018 dataset, recall@20 and ndcg@20 increased by 6.17% and 5.58%, respectively. …”
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The BERT Uncased and LSTM Multiclass Classification Model for Traffic Violation Text Classification by Komang Ayu Triana Indah, I Ketut Gede Darma Putra, I Made Sudarma, Rukmi Sari Hartati, Minho Jo

“…The research results show that the test value on the unmodified dataset is higher than on the modified dataset because the selection of words that have high information value in the modified dataset makes it difficult for the model to understand the context in text classification.…”
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Scale-Dependent Browsing Patterns on Canada Yew (Taxus canadensis) by White-Tailed Deer (Odocoileus virginianus) by Steve K. Windels, David J. Flaspohler

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An Intelligent Framework Based on Deep Learning for SMS and e-mail Spam Detection by Umair Maqsood, Saif Ur Rehman, Tariq Ali, Khalid Mahmood, Tahani Alsaedi, Mahwish Kundi

“…In previous studies using machine learning (ML), spam detection using a small dataset has resulted in lower accuracy. To counter this problem, in this paper, multiple classifiers of ML and a classifier of deep learning (DL) were applied to the SMS and e-mail dataset for spam detection with higher accuracy. …”
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Processing and consolidation of open data on public procurement in France (2015–2023)Zenodo by Adrien Deschamps, Lucas Potin

“…This paper introduces a tabular dataset derived from the processing and consolidation of online public procurement notices. …”
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Prediction of Rooftop Photovoltaic Solar Potential Using Machine Learning by K. Mukilan, K. Thaiyalnayaki, Yagya Dutta Dwivedi, J. Samson Isaac, Amarjeet Poonia, Arvind Sharma, Essam A. Al-Ammar, Saikh Mohammad Wabaidur, B. B. Subramanian, Adane Kassa

“…The machine learning model is supplied with training dataset to get trained with the dataset for conversion into the model and then tested with the test dataset for validating the model. …”
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Prediction and verification of the influence of the rs367781716 SN P on the interaction of ТАТА -binding protein with the promoter of the human АВСА9 gene by O. V. Arkova, I. A. Drachkova, T. V. Arshinova, D. A. Rasskazov, V. V. Suslov, P. M. Ponomarenko, M. P. Ponomarenko, N. A. Kolchanov, L. K. Savinkova

“…Preclinical empirical verification of possible candidate SNP markers may eliminate neutral SNPs from the dataset. In the present study, we found, using the SNP_TATA_Comparator web service, the unannotated SNP rs367781716: the substitution of ancestral T (health) with minor C at position –37 before the transcription initiation site of the АВСА9 gene. …”
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