Fully distributed adaptive event-triggered control with delay-aware dynamic thresholds for islanded AC microgrids by Zahrasadat Sajjadinezhad, Nima Mahdian Dehkordi

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Temporal Forecasting of Distributed Temperature Sensing in a Thermal Hydraulic System With Machine Learning and Statistical Models by Stella Pantopoulou, Matthew Weathered, Darius Lisowski, Lefteri H. Tsoukalas, Alexander Heifetz

“…Next, we investigate zero-shot forecasting (ZSF) with LSTM and ARIMA trained on history of the co-located FOS only, which is advantageous when limited training data is available. …”
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Distributed Hydrological Modeling With Physics‐Encoded Deep Learning: A General Framework and Its Application in the Amazon by Chao Wang, Shijie Jiang, Yi Zheng, Feng Han, Rohini Kumar, Oldrich Rakovec, Siqi Li

“…A hybrid DL model of the Amazon Basin (∼6 × 106 km2) was established based on the framework, and HydroPy, a global‐scale DHM, was encoded as its physical backbone. Trained simultaneously with streamflow observations and Gravity Recovery and Climate Experiment satellite data, the hybrid model yielded median Nash‐Sutcliffe efficiencies of 0.83 and 0.77 for dynamic and distributed simulations of streamflow and total water storage, respectively, 41% and 35% higher than those of the original HydroPy model. …”
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Hybrid islanding detection method using PMU‐ANN approach for inverter‐based distributed generation systems by Mohammad Abu Sarhan, Szymon Barczentewicz, Tomasz Lerch

“…The tests were carried out using Regenerative Grid Simulator Chroma 61815‐powered system which was connected in parallel to adjusting RLC load; the tested inverters were linked to a Photovoltaic Panels Simulator, the National Instruments cRIO‐9024 measuring equipment was used to carry out the measurements, MATLAB and LabVIEW were used for analyzing the data and results. With a testing accuracy of 99.05% and a training accuracy of 99.34%, the results demonstrate a high degree of accuracy. …”
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A web-based surveillance model of eosinophilic meningitis: future prediction and distribution patterns by Noppadol Aekphachaisawat, Kittisak Sawanyawisuth, Chalongchai Phitsanuwong, Sittichai Khamsai, Paiboon Chattakul, Verajit Chomtmongkol, Somsak Tiamkao, Panita Limpawattana, Vichai Senthong, Jarin Chindaprasirt, Chetta Ngamjarus

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A Comprehensive Framework for Out-of-Distribution Detection and Open-Set Recognition in SAR Targets by Fei Gao, Heqing Huang, Jun Wang, Jinping Sun, Amir Hussain, Huiyu Zhou

“…The varying activation coverage reflects how the network responds to different types of inputs within its parameter space. Next, we design a training method that simulates OOD data. By generating low-probability density points near decision boundaries using a multivariate normal distribution and perturbing them with noise. …”
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Field-validated species distribution model of Canada Warbler ( Cardellina canadensis ) in Northwestern Ontario by Vianney J Cupiche-Herrera, Alana R Westwood, Brian E McLaren

“…Model accuracy was assessed through field validation in 2022, using the resulting data for final model validation. The final model showed moderate performance for both training and test data (AUC = 0.7). …”
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IDENTIFYING CHANGES IN MANGROVE FOREST DISTRIBUTION IN LANGKAT REGENCY USING GOOGLE EARTH ENGINE by Rina Mawardah Batubara, M Taufik Rahmadi, Meilinda Suriani Harefa, Darwin Parlaungan Lubis, Sendi Permana, Rifqi Ulfatun Nikmah, Alvin Pratama

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Self-organizing maps to evaluate optimal strategies for balancing binary class distributions: a methodological approach by Alberto Nogales, Diego Guadalupe, Álvaro J. García-Tejedor

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DISTRIBUTION OF URBAN HEAT ISLAND INDEX IN THE SURABAYA, YOGYAKARTA, AND BANDUNG USING REMOTE SENSING by Callista Fabiola Candraningtyas, Hashfi Hawali Abdul Matin, Sapta Suhardono, Yoyon Wahyono

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ANALYSIS AND MATHEMATICAL MODELING OF DISTRIBUTION OF ENGINEERING AND TECHNICAL SPECIALTIES GRADUATES OF PENZA STATE UNIVERSITY by P.V. Aikashev, T.V. Cherusheva, N.V. Zverovshchikova

“…These data highlight the necessity of enhancing the prestige of technical specialties and the relevance of engineering education. …”

Out-of-Distribution in Image Semantic Communication: A Solution With Multimodal Large Language Models by Feifan Zhang, Yuyang Du, Kexin Chen, Yulin Shao, Soung Chang Liew

“…However, the out-of-distribution (OOD) problem, where a pre-trained machine learning (ML) model is applied to unseen tasks that are outside the distribution of its training data, may compromise the integrity of semantic compression. …”
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DIFFERENCE IN THE DISTRIBUTION OF SELECTED BLOOD VARIABLES AMONG ATHLETES DURING A COMPETITION PERIOD by Sam Mugandani, Trayana Djarova-Daniels

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Functional Training Has the Potential to Reduce Fat Mass and Increase Growth Hormone in Overweight Women by Nining Widyah Kusnanik, Muhammad Muhammad, Amrozi Khamidi, Wahyu Dwi Kurniawan, Novadri Ayubi, Abd. Muin, Priya Yoga Pradana, Ali Ridho

“…Furthermore, the normality test was carried out using the Shapiro-Wilk method, if the data were normally distributed the different test was carried out using the paired t-test, but if the data was not normally distributed, the difference was carried out using the Wilcoxon signed rank test. …”
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Comparative Study of Imputation Methods for Time Series Data by Daniyal Khan, Alina Lazar

“…While some imputation approaches estimate missing values based on existing observations, these methods often rely on strong assumptions about the data distribution, which only sometimes improves downstream accuracy. …”
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Diversity and distribution of nitrifying bacteria play an important role in the nitrogen cycle in mangrove sediments by A. Mubaraq, M. Sembiring, E. Widiastuti, E. Fachrial, B. Utomo, M. Turjaman, F. Sidik, Y.I. Ulumuddin, V.B. Arifanti, E.S. Siregar, T. Kajita, S. Proches, M. Basyuni

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Unveiling the Impact of Anaerobic Soccer Training and Small-Sided Games on Soccer Player’s Body Composition by Mochammad Ilham Ramadhani, David Agus Prianto, I Dewa Made Aryananda Wijaya Kusuma, Dewa Ayu Praba Amustikarani, Alex Aldha Yudi, Ketut Chandra Adinata Kusuma

“…Body composition was assessed before and after the intervention using the INBODY 270 device. Data were analyzed using paired t-tests and independent t-tests for normally distributed variables, while the Wilcoxon test was applied to non-normally distributed data. …”
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Improving person re-identification based on two-stage training of convolutional neural networks and augmentation by S. A. Ihnatsyeva, R. P. Bohush

“…The use of different data at different training stages does not allow the CNN to remember training examples, thereby preventing overfitting.Proposed method as expanding the training sample differs as it combines an image pixels cyclic shift, color  exclusion and fragment replacement with a reduced copy of another image. …”
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Online variational Gaussian process for time series data by Weidong Wang, Mian Muhammad Yasir Khalil, Leta Yobsan Bayisa

“…Among these, pseudo-point approximations have proven to be highly influential, leveraging a subset of the training data to represent the entire observation space. …”
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Building Innovative Behavior Through Training, Literacy, and Digital Communication in the General Court of West Kalimantan by Alfan Renaldi, Ake Wihadanto, Kasful Anwar

“…The research method used is a quantitative approach with probability sampling techniques and sample determination using proportional random sampling. Data were collected through questionnaires distributed to 100 respondents. …”
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