Robust Predictive Current Control of IMs With MRAS-Based Parameter Estimation by Gabriel Caramori, Igor Oliani, Angelo S. Lunardi, Alfeu J. Sguarezi Filho

“…By leveraging the MRAS observer, the proposed method dynamically aligns model parameters with real-time motor conditions, mitigating the effects of parameter variations and external disturbances. …”
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Identification of multiple power quality disturbances in hybrid microgrid using deep stacked auto-encoder based bi-directional LSTM classifier by Ravi Kumar Jalli, Lipsa Priyadarshini, P.K. Dash, Ranjeeta Bisoi

“…In recent years microgrid technology has created widespread interest for the integration of renewable energy sources into main utility grid to supply clean energy to the end users. …”
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Dynamic Gradient Descent and Reinforcement Learning for AI-Enhanced Indoor Building Environmental Simulation by Xiaolong Chen, Haohao Yang, Hongfeng Zhang, Cora Un In Wong

“…Furthermore, the system employs a multilayer perceptron predictor trained on computational fluid dynamics-augmented data to model nonlinear thermal–airflow interactions, replacing conventional lumped-parameter models. The integration of these components enables autonomous adaptation to short-term disturbances (e.g., occupancy changes) and long-term drifts (e.g., seasonal variations) without manual recalibration. …”
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RETRACTED ARTICLE: Novel gooseneck barnacle optimization a nature inspired technique for optimizing reactive power within systems of power with electric vehicles by Juntao Zhuang, Chengwei Wang, Qiong Cheng, Samad Nourmohammadi, Khalid A. Alnowibet

“…The experimental outcomes demonstrate the NGBO effectively mitigates active power loss and voltage variation in power systems, surpassing several existing metaheuristic optimization techniques by reducing power loss by up to 15% and voltage deviation by up to 10% compared to traditional methods, demonstrating the effectiveness of the method in handling EV-related uncertainties.…”
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Optimal Siting and Sizing of Battery Energy Storage System in Distribution System in View of Resource Uncertainty by Gauri Mandar Karve, Mangesh S. Thakare, Geetanjali A. Vaidya

“…The integration of intermittent Distributed Generations (DGs) like solar photovoltaics into Radial Distribution Systems (RDSs) reduces system losses but causes voltage and power instability issues. …”
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A Deep Reinforcement Learning Framework for Adaptive Resiliency Enhancement in Smart Power Grids by Boyu Wang, Aliasghar Baziar, Mohammad Reza Askari

“…This paper addresses the critical challenge of enhancing resiliency in smart power grids against cyber-physical disturbances, including cyber-attacks, system faults, and dynamic load variations. Traditional control methods often lack adaptability and robustness required to maintain stable grid operation under such evolving threats. …”
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Examining Language Development Quality in Early Childhood Education: A Systematic Review of Assessment and Monitoring Frameworks in Indonesia by Sinta Maulida Hapsari, Nindya Alifia Tittandi, Octavian Dwi Tanto

“…The findings reveal that observational checklists, anecdotal records, and portfolio assessments are the most commonly used methods, while the use of digital tools—such as e-portfolios and language development applications—remains limited and underutilized. …”
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Review on eye-hand span in sight-reading of music by Joris Perra, Bénédicte Poulin-Charronnat, Thierry Baccino, Véronique Drai-Zerbib

“…Promising avenues of research using the eye tracking method are proposed in order to further our knowledge of the construction of an expertise that requires multisensory integration.…”
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Synoptic Analysis of Early Heat Waves in Northwest of Iran by Mahmoud Hooshyar, behrouz sobhani, nader parvin

“…To identify the coherent patterns, cluster analysis was performed on the scores of the components by the WARD integration method. Five types of pre-heat generation waveform patterns were identified. …”
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Novel Approach in Vegetation Detection Using Multi-Scale Convolutional Neural Network by Fatema A. Albalooshi

“…The performance of the proposed MSCNN method is rigorously evaluated and compared against state-of-the-art techniques in the field. …”
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Network-based transfer of pan-cancer immunotherapy responses to guide breast cancer prognosis by Xiaobao Ding, Lin Zhang, Ming Fan, Lihua Li

“…Abstract Breast cancer prognosis is complicated by tumor heterogeneity. Traditional methods focus on cancer-specific gene signatures, but cross-cancer strategies that provide deeper insights into tumor homogeneity are rarely used. …”
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Enhancing Bounding Box Regression for Object Detection: Dimensional Angle Precision IoU-Loss by Hilmy Aliy Andra Putra, Aniati Murni Arymurthy, Dina Chahyati

“…Despite significant technological advancements and the various advantages and disadvantages of IoU loss, improving the accuracy and efficiency of BBR remains an active research area in computer vision. Various IoU loss variations have evolved with new formulations and methods to improve accuracy and convergence speed. …”
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Research on inertia characteristics and lifting strategy of grid-connected inverter by LI Jifang, HAN Aishan

“…ObjectivesTo address the problem of low inertia operation in the power system caused by the integration of a large-scale new energy source，Methodsthe inertia characteristics of grid-connected inverters were analyzed and methods of improving their inertia level were studied. …”
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Enhancement of friction factors for microchannels fabricated using laser powder directed energy deposition by Paul Gradl, Angelo Cervone, Piero Colonna

“…This characterization helped to inform a new prediction method for determining hydraulic diameter and equivalent sand grain roughness, thus reducing the uncertainty of predicted friction factors. …”
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Prognosis, treatment decision-making and value: A qualitative exploration of the emerging role of breast cancer prognostic assays. by Gillian Parker, Stuart Hogarth, Jennifer Fishman, Fiona A Miller

“…<h4>Methods</h4>15 international researcher-physician/scientist key opinion leaders who had conducted studies on breast cancer prognostic assays were interviewed. …”
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PREVALENCE AND STRUCTURE OF DENTOALVEOLAR ANOMALIES AMONG STUDENTS OF DONETSK REGION by S.P. Yarova, О.A. Kobtseva, Yu.Yu. Yarov, K.V. Novikova, D.D. Kobtseva

“…Examinations of students were performed according to the generally accepted method in dentistry. The material of the clinical trial was subjected to variational-statistical analysis in accordance with the purpose of the study. …”
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Effects of binocularity and eye dominance on visually-driven ocular tracking by Kimia Seyedmadani, Kimia Seyedmadani, Keith A. Tucker, Mark R. Anderson, Mark R. Anderson, Yasemin M. Akay, Metin Akay, Leland S. Stone

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Experimental evaluation of an advanced predictive control technique for variable-speed wind turbine systems by Farah Echiheb, Btissam Majout, Ismail EL Kafazi, Badre Bossoufi, Abdelhamid Rabhi, Nicu Bizon, Anton Zhilenkov, Saleh Mobayen

“…These results confirm the superiority of the MPPT-integrated deadbeat predictive control over conventional methods in terms of efficiency, power quality, and system stability. …”
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Adaptive sliding mode control based on maximum power point tracking for boost converter of photovoltaic system under reference voltage optimizer by Borhen Torchani, Ahmad Taher Azar, Ahmad Taher Azar, Ahmad Taher Azar, Anis Sellami, Saim Ahmed, Saim Ahmed, Ibrahim A. Hameed, Ibraheem Kasim Ibraheem, Moamin Ibrahim Jameel Al-Obaidi

“…This article presents an innovative APISMC method applied to PVS, integrating the MPPT technique for a boost converter. …”
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Efficient and Accurate Force Replay in Cosmological-baryonic Simulations by Arpit Arora, Robyn Sanderson, Christopher Regan, Nicolás Garavito-Camargo, Emily Bregou, Nondh Panithanpaisal, Andrew Wetzel, Emily C. Cunningham, Sarah R. Loebman, Adriana Dropulic, Nora Shipp

“…We fit low-order expansions (four angular/harmonic terms) to the galaxy’s potential for each snapshot, spaced roughly 25 Myr apart, over the last 4 Gyr of its evolution, then extract the forces at discrete times and interpolate them between adjacent snapshots for forward orbit integration. Our method reconstructs the forces felt by simulation particles with high fidelity, with 95% of both stars and dark matter, outside of self-gravitating subhalos, exhibiting errors ≤4% in both the disk and the halo. …”
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