Design and performance evaluation of multilevel inverter for solar energy systems and electric vehicle charging with multi output active clamp forward converter by Adupa Chandramouli, Siva Chidambaranathan V.

“…This study also highlights the application of a Recurrent Neural Network Incremental Conductance (RNN-INC)-based Maximum Power Point Tracking (MPPT) algorithm to optimize power extraction from photovoltaic (PV) arrays. …”
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An Integrated Methodological Approach for Interpreting Used Oil Analysis in Diesel Engines by Reinaldo Ramirez Camba, Cristian Garcia Garcia, Milton Garcia Tobar, Jorge Fajardo Merchan

“…The Binary Segmentation (BS) algorithm is also used for Change-Point Detection. …”
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Myocarditis Detection Using Proximal Policy Optimization and Mutual Learning by Asadi Srinivasulu, Sivaram Rajeyyagari

“…To address class imbalance, a proximal policy optimization (PPO)-based algorithm is utilized, significantly improving the training process by preventing abrupt policy shifts and stabilizing them. …”
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Identification of key genes in periodontitis by Xianyang Cheng, Shan Shen

“…The disease mechanism results from intricate interactions between hereditary factors, the body’s defense mechanisms, and shifts in the composition of oral microbiota, with each element playing a crucial role in the initiation and advancement of the pathological process. …”
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A SWIN-based vision transformer for high-fidelity and high-speed imaging experiments at light sources by Songyuan Tang, Tekin Bicer, Kamel Fezzaa, Samuel Clark

“…These high data acquisition rates are often prone to noisy measurements, or in the case of slower (but less noisy) rates, the loss of scientifically significant phenomena.MethodsWe develop a Shifted Window (SWIN)-based vision transformer to reconstruct high-resolution x-ray image sequences with high fidelity and at a high frame rate and evaluate the underlying algorithmic framework on a high-performance computing (HPC) system. …”
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Electricity pinch analysis method for flexibility supply-demand matching in power systems by Yaling Mao, Tiejiang Yuan, Xueqin Tian, Yue Teng

“…Source and sink composite curves are constructed and horizontally shifted to locate the pinch point, thereby identifying the bottleneck in flexibility balance. …”
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Forecast of hydrocarbon losses in deposits during the development of gas condensate fields by R. K. Dobrolyubova, E. I. Inyakina, I. I. Krasnov, V. V. Inyakin, A. F. Semenenko

“…To create such a model, a technique based on equations of state and an algorithm for modeling vapor-liquid transitions of hydrocarbon mixtures is used. …”
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Environmental Risk Mitigation via Deep Learning Modeling of Compressive Strength in Green Concrete Incorporating Incinerator Ash by Amin Amraee, Seyed Azim Hosseini, Farshid Farokhizadeh, Mohammad Hassan Haeri

“…A database for deep learning modeling was created using Convolutional Neural Networks (CNNs) and the Multi-Verse Optimizer (MVO) algorithm. After evaluating the efficiency and structure of the deep learning model through MATLAB coding, the focus shifted to analyzing the sensitivity of the input parameters on the output parameter using MATLAB for coding, training, and evaluation. …”
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Spatiotemporal Patterns of Drought Migration Across the Contiguous United States by Amitesh Sabut, Ashok Mishra, Dara Entekhabi

“…Moreover, over 77% of the analyzed drought events exhibited notable spatial shifts, suggesting that the majority of these events migrated across different regions instead of staying confined to a single area. …”
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Beam-steering of a single-element nano-antenna with two transferring dielectric flat lenses by Fatma E. Helmy, Ibrahim I. Ibrahim, Amany M. Saleh

“…Two inhomogeneous rectangular dielectric flat lenses modelled with different materials are used in the switched-beam nano-antenna (NA) to boost and steer radiation in a specific direction by shifting each lens. Firstly, a hybrid plasmonic NA design with two movable lenses is shown. …”
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Multiple timescale variations in fronts in the Seto Inland Sea, Japan by M. Dong, X. Guo

“…Intra-tidal movements of tidal fronts corresponded to ebb and flood currents, while spring–neap tidal cycles and seasonal shifts influenced frontal positions and intensities. …”
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Development of a Drought Monitoring System for Winter Wheat in the Huang-Huai-Hai Region, China, Utilizing a Machine Learning–Physical Process Hybrid Model by Qianchuan Mi, Zhiguo Huo, Meixuan Li, Lei Zhang, Rui Kong, Fengyin Zhang, Yi Wang, Yuxin Huo

“…The existing simulation methods like physical process models and machine learning (ML) algorithms have limitations: physical models struggle with parameter acquisition at regional scales, while ML algorithms face difficulties in agricultural settings due to the presence of crops. …”
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Implementation of Method of Minimizing the Side Lobe Level of Autocorrelation Functions of Signals With Nonlinear Frequency Modulation by O. O. Kostyria, A. A. Hryzo, I. A. Khizhnyak, A. V. Fedorov, A. A. Lukianchykov

“…In further research, it is planned to develop an algorithm for optimizing the time-frequency parameters of signals with nonlinear frequency modulation based on mathematical models of current and shifted time. …”
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Control chart for geometrically distributed data based on Bayesian fast double bootstrap by Muhammad Yahya Matdoan, Muhammad Mashuri, Muhammad Ahsan

“…However, these estimators may struggle to detect significant process shifts, particularly in the presence of large deviations. …”
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XAI for Point Cloud Data Using Perturbations Based on Meaningful Segmentation by Raju Ningappa Mulawade, Christoph Garth, Alexander Wiebel

“…The perturbations are introduced using the novel point-shifting mechanism proposed in this work which ensures that the shifted points no longer influence the output of the classification algorithm. …”
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Physics-informed modeling of splitting tensile strength of recycled aggregate concrete using advanced machine learning by Kennedy C. Onyelowe, Viroon Kamchoom, Shadi Hanandeh, S. Anandha Kumar, Rolando Fabián Zabala Vizuete, Rodney Orlando Santillán Murillo, Susana Monserrat Zurita Polo, Rolando Marcel Torres Castillo, Ahmed M. Ebid, Paul Awoyera, Krishna Prakash Arunachalam

“…Abstract Physics-informed modeling (PIM) using advanced machine learning (ML) represents a paradigm shift in the field of concrete technology, offering a potent blend of scientific rigor and computational efficiency. …”
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Opportunities, Challenges, and Future Directions for Generative Artificial Intelligence in Library Information Literacy Education: A Scoping Review by Fan YUAN, Jia LI

“…However, the study also identifies several critical challenges, including concerns about data accuracy concerns, inherent algorithmic biases, risks to academic integrity, and the potential weakening of independent thinking skills due to over-reliance on AI systems. …”
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Current and Future Trends of the Automotive Industry by Dieter Hermann Schramm

“…</p><p>Another trend that will lead to a paradigm shift in the use of individually-powered vehicles is the automation of the task of driving up to the highly automated or even autonomous vehicle. …”
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The dietary patterns of water deer recently rediscovered in Northeast China exhibit remarkable similarities to those observed in other regions by Zongzhi Li, Zhicheng Yao, Mingchun Zhang, Romaan Hayat Khattak, Xingzhi Han, Jia Sun, Zhongyu Li, Jianmin Lang, Chong Chen, Jing Jin, Zhensheng Liu, Liwei Teng

“…By examining the feeding ecology and seasonal dietary shifts of water deer in northeastern China, this study provides valuable insights for the development of targeted conservation strategies to support their populations in this region and beyond.…”
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A mm-Wave 2D Ultra-Wideband Imaging Radar for Breast Cancer Detection by Stefano Moscato, Giulia Matrone, Marco Pasian, Andrea Mazzanti, Maurizio Bozzi, Luca Perregrini, Francesco Svelto, Giovanni Magenes, Paolo Arcioni, Paul Summers

“…Measures are performed with a mm-wave vector network analyzer driven by an automatic routine, which controls also the antennas shifts. The scattering matrix is then calibrated and the delay-multiply-and-sum (DMAS) algorithm is applied to elaborate a high-resolution 2D image of the targets. …”
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