Mapping global annual urban land cover fractions (2001–2020) derived with multi-objective deep learning by Haoyu Wang, Qian Wang, Xiuyuan Zhang, Shihong Du, Lubin Bai, Shuping Xiong

“…This study addresses this issue by developing a Global Annual Urban Land Cover Fraction (GAULCF) dataset, which encompasses six ULC categories (Non-crop Vegetation-Cropland-Building-Non-build Impervious-Surface-Soil-Water, V-C-B-I-S-W) in global urban areas and measures their dynamics from 2001 to 2020. …”
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Rapid estimation method of lithium battery state of health based on novel health feature by DONG Xiaohong, DONG Jinbo, WANG Mingshen, ZENG Fei, PAN Yi

“…The training set divided by two datasets is used to establish a multiple linear regression model, and the validation set divided by two datasets is used to verify the method. …”
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Neuromorphic Vision Based Multivehicle Detection and Tracking for Intelligent Transportation System by Guang Chen, Hu Cao, Muhammad Aafaque, Jieneng Chen, Canbo Ye, Florian Röhrbein, Jörg Conradt, Kai Chen, Zhenshan Bing, Xingbo Liu, Gereon Hinz, Walter Stechele, Alois Knoll

“…The performance of the system is evaluated with a dataset recorded by a neuromorphic vision sensor mounted on a highway bridge. …”
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Predictors of Acquired Perforating Dermatosis in Uremic Patients on Hemodialysis: A Case-Control Study by Cheng-Hao Weng, Ching-Chih Hu, Shir-Hwa Ueng, Chun-Chen Yu, Chung-Yee Hui, Ja-Liang Lin, Chih-Wei Yang, Cheng-Chieh Hung, Ching-Wei Hsu, Tzung-Hai Yen

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Causal Inference for Hypertension Prediction With Wearable E lectrocardiogram and P hotoplethysmogram Signa... by Ke Gon g, Yifan Chen, Xinyue Song, Zhizhong Fu, Xiaorong Ding

“…Methods We used a large public dataset from the Aurora Project , which was conducted by Microsoft Research. …”
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Real-time detection and monitoring of public littering behavior using deep learning for a sustainable environment by Eaman Alharbi, Ghadah Alsulami, Sarah Aljohani, Waad Alharbi, Somayah Albaradei

“…Consequently, project members simulated real-life littering scenarios to gather the required data. This dataset was then used to train different models, including LRCN, CNN-RNN, and MoViNets. …”
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Natural Language Processing and Social Determinants of Health in Mental Health Research: AI-Assisted Scoping Review by Dmitry A Scherbakov, Nina C Hubig, Leslie A Lenert, Alexander V Alekseyenko, Jihad S Obeid

“… Abstract BackgroundThe use of natural language processing (NLP) in mental health research is increasing, with a wide range of applications and datasets being investigated. ObjectiveThis review aims to summarize the use of NLP in mental health research, with a special focus on the types of text datasets and the use of social determinants of health (SDOH) in NLP projects related to mental health. …”
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Analyzing the impact of non-Newtonian nanofluid flow on pollutant discharge concentration in wastewater management using an artificial computing approach by Sidra Jubair, Jie Yang, Bilal Ali, Bandar Bin-Mohsin, Hamiden Abd El-Wahed Khalifa

“…The dataset was developed for various flow scenarios, as well as ANN evaluation and validation. …”
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GloRice, a global rice database (v1.0): I. Gridded paddy rice annual distribution from 1961 to 2021 by Hanzhi Xie, Jingxian Li, Tingting Li, Xinqing Lu, Qiwen Hu, Zhangcai Qin

“…Existing global rice distribution datasets provide valuable insights but are often constrained by time and coverage. …”
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The spectrum-efficacy correlation of Kai-Xin-San for cognition of Aβ42 transgenic Drosophila and verification of its active ingredients by Jinfu Wu, Hang Sun, Yiyang Zhao, Lian Lian, Hongsheng Bian, Yong Guo, Dan Li, Lili Huang

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Reconstructing the genetic structure of the Kazakh from clan distribution data by M. K. Zhabagin, О. Е. Balanovsky, Zh. M. Sabitov, A. Z. Temirgaliyev, A. T. Agdzhoyan, S. M. Koshel, Е. М. Ramankulov, E. V. Balanovska

“…In this study, we analyzed a large (~4.2 million persons) dataset on quasigenetic markers - the geographic distribution of 50 Kazakh clans at the beginning of the 20th century, and compared the dataset with the direct data of the Y-chro-mosomal diversity in modern Kazakh populations. …”
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GastroFuse-Net: an ensemble deep learning framework designed for gastrointestinal abnormality detection in endoscopic images by Sonam Aggarwal, Isha Gupta, Ashok Kumar, Sandeep Kautish, Abdulaziz S. Almazyad, Ali Wagdy Mohamed, Frank Werner, Mohammad Shokouhifar

“…This dataset contained images that were classified according to structures (cecum, z-line, pylorus), diseases (ulcerative colitis, esophagitis, polyps), or surgical operations (dyed resection margins, dyed lifted polyps). …”
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Advancing skeleton-based human behavior recognition: multi-stream fusion spatiotemporal graph convolutional networks by Fenglin Liu, Chenyu Wang, Zhiqiang Tian, Shaoyi Du, Wei Zeng

“…Empirical results bear testament to the efficacy of the proposed multi-stream fused spatiotemporal graph convolutional network paradigm for skeleton-centric behavior recognition, evincing a pinnacle recognition accuracy of 96.0% on the expansive NTU-RGB+D skeleton dataset, alongside a zenithal accuracy of 37.3% on the Kinetics-Skeleton dataset—emanating from RGB data and furthered through pose estimation.…”
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Assessing swidden land use in Myanmar by decision tree-based detection method using landsat imagery by Nyein Chan, Khin Nilar Swe, Khin Thu Wint Kyaw, La Minn Ko Ko, Kyaw Win, Nway Nway Aung, Thet Oo, Zwe Maung Maung, Zar Zar Win Thein

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TCN-Based DDoS Detection and Mitigation in 5G Healthcare-IoT: A Frequency Monitoring and Dynamic Threshold Approach by Mirza Akhi, Ciaran Eising, Lubna Luxmi Dhirani

“…Data is collected over the Message Queuing Telemetry Transport (MQTT) and User Datagram Protocol (UDP) in a realistic 5G-based H-IoT environment, creating two datasets with malicious and benign data. The proposed TCN-based DDoS prediction and mitigation method achieves 99.98% and 95% accuracy on the MQTT dataset. …”
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Cohort profile: Health in Central Denmark (HICD) cohort - a register-based questionnaire survey on diabetes and related complications in the Central Denmark Region by Annelli Sandbæk, Else-Marie Dalsgaard, Kasper Norman, Lasse Bjerg, Anders Aasted Isaksen

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Reliably quantifying the severity of social symptoms in children with autism using ASDSpeech by Marina Eni, Yaniv Zigel, Michal Ilan, Analya Michaelovski, Hava M. Golan, Gal Meiri, Idan Menashe, Ilan Dinstein

“…We openly share both algorithm and speech feature dataset for use and further development by the community.…”
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Disability weights for environmental noise-related health states: results of a disability weights measurement study in Europe by Juanita A Haagsma, Periklis Charalampous, Carolien C H M Maas

“…Comparison of the regression results from paired comparison responses for each country-specific dataset with those run on the pooled dataset showed high linear correlations (0.96–0.98, p<0.001). …”
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The effect of resizing on the natural appearance of scintigraphic images: an image similarity analysis by Siraj Ghassel, Amir Jabbarpour, Jochen Lang, Eric Moulton, Eric Moulton, Ran Klein, Ran Klein, Ran Klein, Ran Klein

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Herald Patch as the Only Evidence of Pityriasis Rosea: Clinical, Laboratory and Pathogenetic Features by Francesco Drago, Astrid Herzum, Serena Varesano, Gaetano Serviddio, Francesco Broccolo, Giulia Ciccarese

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