Enhancing Deep Learning Sustainability by Synchronized Multi Augmentation with Rotations and Multi-Backbone Architectures by Nikita Gordienko, Yuri Gordienko, Sergii Stirenko

“…The outputs provided by these MBs are merged through different fusion strategies: Averaging Fusion with aggregation of predictions and Dense Fusion with integration of features via a fully connected neural network. It aims to increase model accuracy on previously unseen input data and to reduce computational requirements by minimizing neural network size, particularly advantageous for EI systems characterized by the limited computing resources. …”
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An Evaluation of Variational Autoencoder in Credit Card Anomaly Detection by Faleh Alshameri, Ran Xia

“…Variational AutoEncoder (VAE) has been studied in anomaly detections despite being more suitable in generative tasks. This study aims to explore the usage of VAE in credit card anomaly detection and evaluate latent space sampling techniques. …”
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Discovering Key Successful Factors of Mobile Advertisements Using Feature Selection Approaches by Kai-Fu Yang, Venkateswarlu Nalluri, Chun-Cheng Liu, Long-Sheng Chen

“…Additionally, feature selection techniques have recently gained traction in big data analysis, addressing the limitations inherent in traditional statistical approaches. …”
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Benchmarking <i>K</i>_DP in rainfall: a quantitative assessment of estimation algorithms using C-band weather radar observations by M. Aldana, M. Aldana, S. Pulkkinen, A. von Lerber, M. R. Kumjian, D. Moisseev, D. Moisseev

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Particle swarm optimization with YOLOv8 for improved detection performance of tomato plants by Sarah M. Ayyad, Nada M. Sallam, Samah A. Gamel, Zainab H. Ali

“…Firstly, two experiments were conducted to formally confirm whether or not the utilized data augmentation technique significantly improved, one with data augmentation and another one with the end-to-end framework without data augmentation. …”
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Modeling heterogeneity of Sudanese hospital stay in neonatal and maternal unit: non-parametric random effect models with Gamma distribution by Amani Almohaimeed, Ishag Adam

“…In Sudan, the distribution of the length of stay during delivery hospitalizations is heavily skewed, with the average length of stay of 2 to 3 days. This study aimed to investigate the use of non-parametric random effect model with Gamma distributed response for analyzing skewed hospital length of stay data in Sudan in neonatal and maternal unit. …”
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Digital financial inclusion and its dual impact on economic and environmental outcomes in ASEAN countries by Farooq Ahmad Bajwa, Jingtao Fu, Ishtiaq Ahmad Bajwa, Manzar Rehman, Karim Abbas

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Prediction of bank credit customers churn based on machine learning and interpretability analysis by Ying Li, Keyue Yan

“…Additionally, interpreting these models has become essential. This study aims to balance the data using sampling techniques to forecast whether a customer will churn, combine machine learning methods to build a comprehensive customer churn prediction model, and select the model with the best performance. …”
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Confidential Intelligent Traffic Light Control System: Prevention of Unauthorized Traceability by Ahmad Audat, Maram Bani Younes, Marah Yahia, Said Ghoul

“…Some researchers rely on specialized sensors and hardware to gather real-time traffic data at signalized road intersections. Others benefit from artificial intelligence techniques and/or cloud computing technologies. …”
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ToPNA_RoM Dataset – Doctoral Dissertations, Supervisions and Institutional Affiliations in Philosophy in the US and Canada: 1956–2017 by Nicola Ruschena

“…The data were retrieved from the Review of Metaphysics survey, which annually published records of PhD theses based on university submissions. …”
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State of the Art and Future Directions of Small Language Models: A Systematic Review by Flavio Corradini, Matteo Leonesi, Marco Piangerelli

“…The curated data and insights aim to support and inform ongoing and future research in this rapidly evolving field.…”
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Exploring Named Entity Recognition via MacBERT-BiGRU and Global Pointer with Self-Attention by Chengzhe Yuan, Feiyi Tang, Chun Shan, Weiqiang Shen, Ronghua Lin, Chengjie Mao, Junxian Li

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LeONet: A Hybrid Deep Learning Approach for High-Precision Code Clone Detection Using Abstract Syntax Tree Features by Thanoshan Vijayanandan, Kuhaneswaran Banujan, Ashan Induranga, Banage T. G. S. Kumara, Kaveenga Koswattage

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Action Recognition in Real-World Ambient Assisted Living Environment by Vincent Gbouna Zakka, Zhuangzhuang Dai, Luis J. Manso

“…To address this challenge, this paper introduces the Robust and Efficient Temporal Convolution network (RE-TCN), which comprises three main elements: Adaptive Temporal Weighting (ATW), Depthwise Separable Convolutions (DSC), and data augmentation techniques. These elements aim to enhance the model’s accuracy, robustness against noise and occlusion, and computational efficiency within real-world AAL contexts. …”
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Intelligent Monitoring System for Biogas Detection Based on the Internet of Things: Mohammedia, Morocco City Landfill Case by Jamal Mabrouki, Mourade Azrour, Ghizlane Fattah, Driss Dhiba, Souad El Hajjaji

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SVMFN-FSAR: Semantic-Guided Video Multimodal Fusion Network for Few-Shot Action Recognition by Ran Wei, Rui Yan, Hongyu Qu, Xing Li, Qiaolin Ye, Liyong Fu

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Comparison of 2 different fluoroscopy activation intervals in shock wave lithotripsy: a prospective randomized study by Cengiz Çanakcı, Ahmet Şahan, Orkunt Özkaptan, Erdinç Dinçer, Utku Can, Alper Coşkun

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China's annual forest age dataset at a 30&thinsp;m spatial resolution from 1986 to 2022 by R. Shang, R. Shang, X. Lin, J. M. Chen, J. M. Chen, Y. Liang, K. Fang, M. Xu, Y. Yan, W. Ju, G. Yu, N. He, L. Xu, L. Liu, J. Li, W. Li, J. Zhai, Z. Hu

“…However, their low temporal resolution limits their applicability to track multiyear forest carbon changes. This study aims to generate China's annual forest age dataset (CAFA V2.0) at a 30 m resolution from 1986 to 2022, utilizing forest disturbance monitoring and machine learning techniques. …”
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Quantitative imaging datasets of surface micro- to mesoplankton communities and microplastic across the Pacific and North Atlantic oceans from the Tara Pacific expedition by Z. Mériguet, G. Bourdin, N. Kristan, L. Jalabert, O. Bun, M. Picheral, L. Caray-Counil, J. Maury, M.-L. Pedrotti, A. Elineau, D. A. Paz-Garcia, L. Karp-Boss, G. Gorsky, F. Lombard

“…The datasets include the metadata and<span id="page2762"/> the raw data from which morphological traits such as size (equivalent spherical diameter) and biovolume were calculated for each particle as well as a number of quantitative descriptors of the surface plankton communities. …”
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Outcomes of laparoscopic transabdominal preperitoneal hernia repair in the elderly population: a retrospective cohort study by Dawid Golik, Krzysztof Jędras, Przemysław Sroczyński, Grzegorz Dobkowski, Michał R. Janik

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