Peningkatan Performa Pengenalan Wajah pada Gambar Low-Resolution Menggunakan Metode Super-Resolution by Muhammad Imaduddin Abdur Rohim, Auliati Nisa, Muhammad Nurkhoiri Hindratno, Radhiyatul Fajri, Gembong Satrio Wibowanto, Nova Hadi Lestriandoko, Pesigrihastamadya Normakristagaluh

“…Kami menginvestigasi penggunaan metode super-resolution (SR) berbasis deep learning, termasuk DFDNet, LapSRN, GFPGAN, Real-ESRGAN, Real-ESRGAN+GFPGAN, dan FaceSPARNet. …”
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Challenges and future prospects of online practical education in physical education faculties during the COVID-19 pandemic by O.M. Abdel Fattah, A.A. Zureigat, S.H. Qasim, M.A. Alzughailat, A.S. Khasawneh

“…The practical significance of this study lies in the use of its results in strategic planning for distance education in similar situations, thus contributing to achieving better learning out­comes by addressing weaknesses and encouraging positive aspects.…”
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Enhancing Precipitation Nowcasting Through Dual-Attention RNN: Integrating Satellite Infrared and Radar VIL Data by Hao Wang, Rong Yang, Jianxin He, Qiangyu Zeng, Taisong Xiong, Zhihao Liu, Hongfei Jin

“…Traditional deep learning-based prediction methods predominantly rely on weather radar data to quantify precipitation, often neglecting the integration of the thermal processes involved in the formation and dissipation of precipitation, which leads to reduced prediction accuracy. …”
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Racial and Socioeconomic Disparities in Out-Of-Hospital Cardiac Arrest Outcomes: Artificial Intelligence-Augmented Propensity Score and Geospatial Cohort Analysis of 3,952 Patients by Dominique J. Monlezun, Alfred T. Samura, Ritesh S. Patel, Tariq E. Thannoun, Prakash Balan

“…Then AI-based machine learning (backward propagation neural network) augmented multivariable regression and GIS heat mapping were performed. …”
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Hybrid Offset Position Encoding for Large-Scale Point Cloud Semantic Segmentation by Yu Xiao, Hui Wu, Yisheng Chen, Chongcheng Chen, Ruihai Dong, Ding Lin

“…RPE combines explicit encoding to enhance position features through attention, learning position bias implicitly, while OPE calculates absolute position offset encoding by considering differences with grouping embeddings. …”
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hERGAT: predicting hERG blockers using graph attention mechanism through atom- and molecule-level interaction analyses by Dohyeon Lee, Sunyong Yoo

“…Scientific contribution: hERGAT is a deep learning model for predicting hERG blockers by combining GAT and GRU, enabling it to capture complex interactions at atomic and molecular levels. …”
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Cannabis use amongst tinnitus patients: consumption patterns and attitudes by Dorsa Mavedatnia, Marc Levin, Jong Wook Lee, Amr F. Hamour, Kaye Dizon, Trung Le

“…Over half of patients learned about cannabis from a friend or family member and only 22% of patients learned about cannabis from a physician or nurse. …”
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Micro-Expression Recognition Using Convolutional Variational Attention Transformer (ConVAT) With Multihead Attention Mechanism by Hafiz Khizer Bin Talib, Kaiwei Xu, Yanlong Cao, Yuan Ping Xu, Zhijie Xu, Muhammad Zaman, Adnan Akhunzada

“…Despite significant advancements in deep learning models, challenges persist in accurately handling the nuanced and fleeting nature of micro-expressions, particularly when applied across diverse datasets with varied expressions. …”
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ANTHROPOLOGICAL AND AXIOLOGICAL DIMENSIONS OF SOCIAL EXPECTATIONS AND THEIR INFLUENCE ON SOCIETY’S SELF-ORGANIZATION by І. M. Hoian, V. P. Budz

“…The research is based on the synergetic paradigm, the theory of shared intentionality as well as the concept of hidden influence on the processes of socialization, synchronization of social influence on moral decisions, benefits of the cooperative learning, interpretation of social expectations as epistemological norms and standards, and the concept of social support. …”
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Plant Species Composition and Community Perception Towards Landscaping Work Executed at Hawassa University-Main Campus, Ethiopia by Birhanu Kagnew, Firew Kebede

“…In general educational institutions landscaping need to be encouraged to enhance the teaching-learning process, and to make the working environment attractive. …”
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Influence of Support Vector Regression (SVR) on Cryogenic Face Milling by Rao M. C. Karthik, Rashmi L. Malghan, Fuat Kara, Arunkumar Shettigar, Shrikantha S. Rao, Mervin A. Herbert

“…The performance of the (BNN-SVR) is a prevalent new ability to fetch the partially trained weights from the BNN model into the SVR model, thus leading to the conversion of static learning capability to dynamic capability. The performances of the adopted prediction approaches are compared through a range of attained error deviation, i.e., (RA: 3.95%–8.43%), (BNN: 2.36%–5.88%), (SVR: 1.04%–3.61%), respectively. …”
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EPRNG: Effective Pseudo-Random Number Generator on the Internet of Vehicles Using Deep Convolution Generative Adversarial Network by Chenyang Fei, Xiaomei Zhang, Dayu Wang, Haomin Hu, Rong Huang, Zejie Wang

“…Before generating the encryption keys, a random number generator (RNG) plays an important component in cybersecurity. Several deep learning-based RNGs have been deployed to train the initial value and generate pseudo-random numbers. …”
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Life satisfaction of Palestinian and Polish students after pandemic COVID-19 by Krzysztof Zdziarski, Anna Knyszyńska, Katarzyna Karakiewicz-Krawczyk, Mariam Awad, Salam Awad, Narmeen Qumsieh, Marek Landowski, Beata Karakiewicz

“…The COVID-19 pandemic has had a huge impact on the lives of all social groups around the world, including students who have had to face remote learning and isolation. Regardless of cultural, linguistic and religious differences, every young person is looking for the meaning of life and their place in the world. …”
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Integrating testing and modeling methods to examine the feasibility of blended waste materials for the compressive strength of rubberized mortar by Amin Muhammad Nasir, Nassar Roz-Ud-Din, Khan Kaffayatullah, Ul Arifeen Siyab, Khan Mubasher, Qadir Muhammad Tahir

“…Similarly, partial dependence plot analysis suggests that SF, MP, and GP have a comparable effect on the fc′{f}_{\text{c}}^{^{\prime} } of rubberized mortar. The machine learning models demonstrated a significant resemblance to test results. …”
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The challenges of independence: ontogeny of at-sea behaviour in a long-lived seabird by Delord, Karine, Weimerskirch, Henri, Barbraud, Christophe

“…Thus a change in behaviour, resulting in an improvement of skills acquired from growing experience, is expected to occur during a period of learning through the immaturity phase. Very few studies have investigated the ontogeny of foraging behaviour over long periods of time, particularly in long-lived pelagic seabirds, due to the difficulty of obtaining individual tracking data over several years. …”
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Effect of NaOH concentration on production of Na-CMC derived from pineapple waste collected from local society by Faridah Anni, Azhar Aulia, Suryanto Heru, Saputra Ilman, Utami Oktria Putri, Kasmita, Makky Muhammad, Syukri Daimon

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Barriers in online education for displaced universities: Insights from faculty and students by Iryna Glazkova, Natalia Falko, Olena Khomenko, Svitlana Khatuntseva, Nataliya Rula, Anzhelika Shulzhenko, Volodymyr Tatarin

“…Organizational barriers, such as adapting practical courses to online formats and increased workloads due to asynchronous learning, were also prominent.These findings underscore the need for targeted strategies to address the barriers and promote inclusivity and effectiveness in online education. …”
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SSMM-DS: A semantic segmentation model for mangroves based on Deeplabv3+ with swin transformer by Zhenhua Wang, Jinlong Yang, Chuansheng Dong, Xi Zhang, Congqin Yi, Jiuhu Sun

“…We then employed Swin Transformer as the backbone network, enhancing the capability of global information learning and detail feature extraction. Finally, we optimized the loss function by combining cross-entropy loss and dice loss, addressing the issue of sampling imbalance caused by the small areas of mangroves. …”
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Chinese economic presence in East Africa: the case of Kenya by K. A. Gemueva

“…Russia's economic presence in the country has been very limited so far, thereby learning from the practical experience of other major players would be useful for developing an effective strategy to enter the Kenyan market, both to find "keys to success" and to identify potential risks. …”
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What Are the Predictors of Acute Care Nurses' Stroke Knowledge?: Empirical Research Quantitative by Catherine T. Leach, Linda P. Bolin, Melvin S. Swanson, Ashley E. Burch, Patricia C. Woltz

“…Conclusion Various methods of training and reinforcement of learning using varying teaching styles are effective in increasing nurses' stroke knowledge. …”
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