Enhancing personalized learning: AI-driven identification of learning styles and content modification strategies by Md. Kabin Hasan Kanchon, Mahir Sadman, Kaniz Fatema Nabila, Ramisa Tarannum, Riasat Khan

“…Next, the text content of the electronic documents is modified by employing different natural language processing (NLP) techniques, including named entity recognition of spaCy, knowledge graph, generative pre-trained transformer 3 (GPT-3), and text-to-text transfer transformer (T5) model, to accommodate diverse learning styles. …”
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Extraction Socket Preservation Using Growth Factors and Stem Cells: a Systematic Review by Mindaugas Pranskunas, Pablo Galindo-Moreno, Miguel Padial-Molina

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Ultra-Short-Term Photovoltaic Power Prediction Based on Predictable Component Reconstruction and Spatiotemporal Heterogeneous Graph Neural Networks by Yingjie Liu, Mao Yang

“…A circuit singular spectral decomposition (CISSD) intrinsic predictable component extraction method is adopted to obtain specific frequency components in sensitive meteorological variables, a mechanism based on radiation characteristics and PV power trend predictable component extraction and reconstruction is proposed to enhance power predictability, and a spatiotemporal heterogeneous graph neural network (STHGNN) combined with a Non-stationary Transformer (Ns-Transformer) combination architecture to achieve joint prediction for different PV components. …”
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Enhanced sentiment analysis framework: Ensemble attention enhanced bidirectional long-short-term encoder for accurate classification of consumer reviews by Ali Jaber Almalki

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A multi-objective improved horse herd optimizer based on convex lens imaging for stochastic optimization of wind energy resources in distribution networks considering reliability a... by Fude Duan, Ali Basem, Dheyaa J. Jasim, Mahdiyeh Eslami, Mustafa Okati

“…Abstract In this study, stochastic multi-objective allocation of wind turbines (WTs) in radial distribution networks is performed using a new multi-objective improved horse herd optimizer (MOIHHO) and an unscented transformation (UT) method for modeling the uncertainties of WTs power and network load. …”
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Multilevel Feature Cross-Fusion-Based High-Resolution Remote Sensing Wetland Landscape Classification and Landscape Pattern Evolution Analysis by Sijia Sun, Biao Wang, Zhenghao Jiang, Ziyan Li, Sheng Xu, Chengrong Pan, Jun Qin, Yanlan Wu, Peng Zhang

“…To address these issues, this study proposes the multilevel feature cross-fusion wetland landscape classification network (MFCFNet), which combines the global modeling capability of Swin Transformer with the local detail-capturing ability of convolutional neural networks (CNNs), facilitating discerning intraclass consistency and interclass differences. …”
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Schleichera oleosa (Kusum) leaf extract mediated green synthesis of bimetallic Ag-Fe nanoparticles: in-vitro evaluation of antimicrobial and antioxidant activities by Divyanshu Singh, Dimpi Gupta, Ankit Tiwari, Jai Naik, Farheen Quraishi, Rajat Pratap Singh, Sunil Kumar Singh, Ashish Kumar Singh

“…Furthermore, Fourier Transform Infrared Spectroscopy was utilized to recognize the specific functional groups associated with phytochemicals which is responsible for the enhanced stability and biological activity of nanoparticles. …”
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SME readiness for Industry 5.0: A systematic literature review by Blessing Takawira, David Pooe

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MTFSR: Multitemporal and Spatial Feature Reconstruction Denoising Network for Remote Sensing Change Detection by YeKai Cui, Peng Duan, Jinjiang Li

“…Meanwhile, a spatial attention mechanism and discrete cosine transform (DCT) are incorporated to further improve the spatial expression and frequency domain perception of the features. …”
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Numerical Study on Welding Residual Stress and Microstructure in Gas Metal Arc Welding Square Tube–Plate Y-Shaped Joints by Zhaoru Yan, Jinsan Ju

“…Subsequently, the calibrated finite element model was employed to analyze the influence of microstructural phase transformations and welding sequences on the welding residual stresses in square tube–plate Y-joints. …”
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Exploration of the soliton solutions of the (n+1) dimensional generalized Kadomstev Petviashvili equation using an innovative approach by Bahadır Kopçasız, Fatma Nur Kaya Sağlam, Hasan Bulut, Taha Radwan

“…We are interested in the new auxiliary equation method (NAEM). We reduce the equation to an ordinary differential equation (ODE) with the help of an appropriate wave transformation and search for different types of soliton solutions. …”
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Exploring Darcy dissipation modulation of nanofluid with titanium dioxide (TiO2) and copper (Cu) for enhanced thermal performance in a vertical sheet by P.K. Pattnaik, MD. Shamshuddin, S.R. Mishra, Subhajit Panda

“…In the context of mathematical modeling, using the correspondence alteration method (similarity transformation), the leading equations were renewed into a system of nonlinear ODEs. …”
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Synthesis of Spatial Linkage with 5 Positions Based on Kinematic Geometry Characteristics by Hanchao WANG, Yingying GUO, Song LIN, Jingyu JIANG

“…Finally, according to the motion task of the mechanism, the function generation task of the spatial mechanism is transformed into the problem of finding a solution for the line guidance model by using the principles of kinematic inversion, and an effective method is proposed for the dimensional synthesis of spatial linkages. …”
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Feature extraction of coal mine ventilator vibration signals based on improved variational mode decomposition by TAO Long, GUO Yanfei

“…The feature components of the ventilator vibration signals were quickly extracted based on the inner product transform principle. Simulation and experimental results showed that the improved VMD algorithm performed well in extracting feature components of different intensities, with good accuracy and noise resistance. …”
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A Multi-Criteria Comparison of Large Language Model Powered Assistants in Pre-Research Studies for the Academia by Murat Akin, Gul Didem Batur Sir, Ayyuce Aydemir Karadag, Hakan Cercioglu

“…Large Language Models (LLMs), including Generative Pre-trained Transformers (GPT), a specific type of Large Language Model Powered Assistants (LLM-PA), have emerged as powerful tools in academic research and education. …”
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Arabic Fake News Dataset Development: Humans and AI-Generated Contributions by Hanen Himdi, Nuha Zamzami, Fatma Najar, Mada Alrehaili, Nizar Bouguila

“…To address this issue, we performed the same task using Deep Learning (DL) and transformer-based methods with different word embeddings. …”
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Accurate Time-to-Target Forecasting for Autonomous Mobile Robots by Stefan-Alexandru Precup, Arpad Gellert, Alexandru Matei, Bogdan-Constantin Pirvu, Constantin-Bala Zamfirescu

“…Accurate estimation of payload delivery times poses a significant challenge for efficient planning across different sectors. This paper addresses this challenge by evaluating the effectiveness of four time forecasting methods: Linear Regression, Random Forest Regression, Transformer and Bidirectional Long Short-Term Memory (BiLSTM) networks. …”
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A systematic review of multimodal fake news detection on social media using deep learning models by Maged Nasser, Noreen Izza Arshad, Abdulalem Ali, Hitham Alhussian, Faisal Saeed, Aminu Da'u, Ibtehal Nafea

“…The volume of data circulating from online sources is growing rapidly and comprises both reliable and unreliable information published through many different sources. Researchers are making plausible efforts to develop reliable methods for detecting and eliminating fake web news. …”
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Development of antimicrobial textile using in‐situ AgNPs and evaluation of comfort performance for biomedical applications by Sonjit Kumar Saha, Md. Rubel Alam, Md. Reazuddin Repon, Abu Bakr Siddique, Ayub Ali, Tanvir Ahmed Chowdhury

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Democratization and Revolution: Democratization Process during 1963-1979 in Iran by Pegah Kheirollahi, Hamid Dehghani, Hamid Nassaj

“…Throughout this era, waves of democratization swept across different nations and Iran was not exempt from this transformative tide. …”
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