Deep learning in time series forecasting with transformer models and RNNs by Rogerio Pereira dos Santos, João P. Matos-Carvalho, Valderi R. Q. Leithardt

“…This study examined 14 neural network models applied to forecast weather variables, evaluated using metrics such as median absolute error (MedianAbsE), mean absolute error (MeanAbsE), maximum absolute error (MaxAbsE), root mean squared percent error (RMSPE), and root mean square error (RMSE). …”
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Digital Solution for Effective Management of Remote Work: The Case of Kazakhstan Railway by Adilova Nazdana, Sultanbek Madiyar, Sarzhanov Dauren, Sładkowski Aleksander, Zhanseitov Azamat

“…In that context, the research indicates proper appraisal requires integrating the application with existing railway systems. Other significant recommendations of this study will be to reduce manual errors through the application, optimize resource allocation, and help improve overall organizational productivity· However, the research also points out that some challenges—such as those with user adoption and technical integration—remain open for further study. …”
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Design Optimization of Compliant Mechanisms for Vibration- Assisted Machining Applications Using a Hybrid Six Sigma, RSM-FEM, and NSGA-II Approach by Huy-Tuan Pham, Van-Khien Nguyen, Quang-Khoa Dang, Thi Van Anh Duong, Duc-Thong Nguyen, Thanh-Vu Phan

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3D IntelliGenes: AI/ML application using multi-omics data for biomarker discovery and disease prediction with multi-dimensional visualization by Rishabh Narayanan, Elizabeth Peker, William DeGroat, Dinesh Mendhe, Saman Zeeshan, Zeeshan Ahmed

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A review of machine learning techniques for urban resilience research: The application and progress of different machine learning techniques in assessing and enhancing urban resili... by Yu Chen, Wenxing You, Lu Ou, Hui Tang

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A latent variable partial least squares path modeling approach to regional association and polygenic effect with applications to a human obesity study. by Fuzhong Xue, Shengxu Li, Jian'an Luan, Zhongshang Yuan, Robert N Luben, Kay-Tee Khaw, Nicholas J Wareham, Ruth J F Loos, Jing Hua Zhao

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Development and usability testing of a preliminary web-based application for the clinical implementation of blood flow restriction: a mixed methods pilot study by Isaac J. Wedig, Isaac J. Wedig, Isaac J. Wedig, Erich J. Petushek, Erich J. Petushek, John J. Durocher, John McDaniel, Steven J. Elmer

“…Accordingly, this study aimed to develop and test a web-based application to guide practitioners in using BFR safely and effectively.MethodsFirst, we developed an application to assist with medical screening, selection of appropriate equipment, and determination of cuff pressures. …”
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Experimental studies on latent heat capacity of hybrid nano-enhanced phase change materials using artificial neural network for energy storage applications by Pradnya Sameer Deshpande, R. Jyothilakshmi, Lalitha Chinmayee H. M., B. S. Sridhar

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Application of the Correlation Measurement Method for Reconstructing of the Velocity Profile with Spatial and Temporal Discretization in Studies of the Hydrodynamics of Turbulent F... by S. M. Dmitriev, A. E. Khrobostov, D. N. Solncev, A. A. Barinov, A. A. Chesnokov, I. A. Konovalov, M. A. Makarov, T. K. Zyryanova

“…However the question of its applicability and possibilities in studies using the matrix conductometry method remains open. …”
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Application of Twisting Controller and Modified Pufferfish Optimization Algorithm for Power Management in a Solar PV System with Electric-Vehicle and Load-Demand Integration by Arunesh Kumar Singh, Rohit Kumar, D. K. Chaturvedi, Ibraheem, Gulshan Sharma, Pitshou N. Bokoro, Rajesh Kumar

“…Active and reactive powers are controlled by a proportional–integral controller, whereas energy storage batteries improve the quality of energy by storing both current and voltage, which have an impact on steady-state error. Since traditional controllers are unable to maximize the energy output of solar systems, artificial intelligence (AI) is essential for enhancing the energy generation of PV systems under a variety of climatic conditions. …”
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New calculation model and application research on weak water-flushed zones distribution prediction in radial flow well patterns of heterogeneous oil reservoirs. by Mengyun Li, Guicai Zhang, Haihua Pei, Ping Jiang, Liu Yang

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Application of computational fluid dynamics (CFD) for optimal temperature sensor placement in a greenhouse equipped with a pad-fan cooling (PFC) system by Alireza Kalbasinia, Mehrnoosh Jafari, Ramin Kouhikamali, Morteza Sadeghi, Ali Nikbakht, Amir Tayefi

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Advancing Progressive Web Applications to Leverage Medical Imaging for Visualization of Digital Imaging and Communications in Medicine and Multiplanar Reconstruction: Software Deve... by Mohammed A. AboArab, Vassiliki T. Potsika, Alexis Theodorou, Sylvia Vagena, Miltiadis Gravanis, Fragiska Sigala, Dimitrios I. Fotiadis

“…In addition, the application’s accuracy in MPR reconstructions was validated with an error margin of <0.05 mm and outperformed the state-of-the-art methods by 84% to 98% in loading and volume rendering time. …”
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Epigenetic Clock in Bears: A Simple Cost‐Effective Blood DNA Methylation‐Based Age Estimation Method Applicable to Multiple Bear Species by Michito Shimozuru, Shiori Nakamura, Jumpei Yamazaki, Yojiro Yanagawa, Hiroo Tamatani, Misako Kuroe, Koji Yamazaki, Shinsuke Koike, Yusuke Goto, Tomoko Naganuma, Kahoko Tochigi, Akino Inagaki, Naoki Takekoshi, Seungyun Baek, Nobutaka Sato, Yusuke Honda, Toshio Tsubota, Hideyuki Ito

“…The best model specific to brown bears estimated their ages with satisfactory accuracy, with mean absolute error (MAE) of 1.5, 2.1, 2.2, and 0.4 years for Asian black (52 samples from 16 captive and 36 wild bears), polar (27 samples from 21 captive bears), sun bears (11 samples from 8 captive bears), and Andean bears (one captive bear), respectively. …”
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Application of Concentration-Area fractal modeling and artificial neural network to identify Cu, Zn±Pb geochemical anomalies in Hashtjin area, NW of Iran by Ali Imamalipour, Hamed Ebrahimi, Amir reza Abdollahpur

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Application of Machine Learning Methods for Identifying Wave Aberrations from Combined Intensity Patterns Generated Using a Multi-Order Diffractive Spatial Filter by Paval. A. Khorin, Aleksey P. Dzyuba, Aleksey V. Chernykh, Muhammad A. Butt, Svetlana N. Khonina

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Investigation of the application of an automated monitoring system for detecting transmission cable deterioration in Nigeria: A case study of transmission cable lines between Offa... by C.S. Omoniabipi, R. Agbadede, K.C. Emmanuel, O.J. Adewuni, I. Allison

“…The best classification performance achieved a minimum mean squared error (MSE) of 0.074346 after 24 iterations (epochs) of training, validation, and testing. …”
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Design and Construction of A Web-Based Application for Managing Documents for Appointing CPNS to Civil Servants at The Regional Personnel Agency (BKD) of DKI Jakarta Province by Ari Purnomo Aji Wibowo, Rumadi Hartawan, Anton Zulkarnain Sianipar

“…With this Document Management System, it is expected to correct errors in recording transactions, prevent document loss and make work faster so that there are no obstacles and constraints in handling caused by human resource errors. …”
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Guaranteed Performance Resilient Security Consensus Control for Nonlinear Networked Control Systems Under Asynchronous DoS Cyber Attacks and Applications on Multi-UAVs Networks by Chuhan Zhou, Ying Wang, Yun Sun, Chaoqi Fu

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Machine learning-based technique for directivity prediction of a compact and highly efficient 4-port MIMO antenna for 5G millimeter wave applications by Md Ashraful Haque, Kamal Hossain Nahin, Jamal Hossain Nirob, Md Kawsar Ahmed, Narinderjit Singh Sawaran Singh, Liton Chandra Paul, Abeer D. Algarni, Mohammed ElAffendi, Abdelhamied A. Ateya

“…The effectiveness of machine learning (ML) models can be estimated using a variety of different metrics, including the variance score, R square, mean square error (MSE), mean absolute error (MAE), and root mean square error (RMSE). …”
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