A Multichannel Approach and Testbed for Centimeter-Level WiFi Ranging by Jayson P. Van Marter, Matan Ben-Shachar, Yaron Alpert, Anand G. Dabak, Naofal Al-Dhahir, Murat Torlak

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Maternal Nutritional Factors Enhance Birthweight Prediction: A Super Learner Ensemble Approach by Muhammad Mursil, Hatem A. Rashwan, Pere Cavallé-Busquets, Luis A. Santos-Calderón, Michelle M. Murphy, Domenec Puig

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A Review on Millimeter-Wave Hybrid Beamforming for Wireless Intelligent Transport Systems by Waleed Shahjehan, Rajkumar Singh Rathore, Syed Waqar Shah, Mohammad Aljaidi, Ali Safaa Sadiq, Omprakash Kaiwartya

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A Comprehensive Review on Limitations of Autonomous Driving and Its Impact on Accidents and Collisions by Amit Chougule, Vinay Chamola, Aishwarya Sam, Fei Richard Yu, Biplab Sikdar

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Tree-Based Machine Learning Approach for Predicting the Impact Behavior of Carbon/Flax Bio-Hybrid Fiber-Reinforced Polymer Composite Laminates by Manzar Masud, Aamir Mubashar, Shahid Iqbal, Hassan Ejaz, Saad Abdul Raheem

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Efficient Text Style Transfer Through Robust Masked Language Model and Iterative Inference by Osama Subhani Khan, Naima Iltaf, Usman Zia, Rabia Latif, Nor Shahida Mohd Jamail

“…However, these models are prone to hallucinations and suffer from problems of manually crafting prompts and high computation requirements. The purpose of TST is to edit text sequences so that their style is changed without hindering the meaning of their content. …”
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BFER-Net: Babies Facial Expression Recognition Model Using ResNet12 Enabled Few-Shot Embedding Adaptation and Convolutional Block Attention Modules by Sumiya Arafin, Adnan Ferdous Ashrafi, Md. Golam Rabiul Alam, Ashis Talukder

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<i>DIMScern</i>: A Framework for Discerning <i>DIMSE</i> Services on Remote Medical Devices by Gunhee Kim, Dohyun Kim, Jeonghun Seo, Seyoung Lee, Wonjun Song

“…In the medical domain, computer systems in digital healthcare have increased connectivity continuously and the <i>DICOM</i> Message Service Element (DIMSE) protocol has a critical role in exchanging biomedical imaging data among different digital healthcare systems. …”
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Architecture-Aware Augmentation: A Hybrid Deep Learning and Machine Learning Approach for Enhanced Parkinson’s Disease Detection by Madjda Khedimi, Tao Zhang, Hanine Merzougui, Xin Zhao, Yanzhang Geng, Khamsa Djaroudib, Pascal Lorenz

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A Hybrid Machine Learning Model for Accurate Autism Diagnosis by Durga Prasad Kavadi, Venkata Rami Reddy Chirra, Palacharla Ravi Kumar, Sai Babu Veesam, Sagar Yeruva, Lalitha Kumari Pappala

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An End-to-end Ensemble Machine Learning Approach for Predicting High-impact Solar Energetic Particle Events Using Multimodal Data by Pouya Hosseinzadeh, Soukaina Filali Boubrahimi, Shah Muhammad Hamdi

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Machine learning - driven solar forecasting in dust-prone regions for sustainable energy systems by Kadhim Hayawi, Husna Maliakkal, Neethu Venugopal, Thanveer Musthafa Hussain, Gomathi Bhavani Rajagopalan

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A dynamic adaptive graph convolutional recurrent network model for efficient mid-short term prediction of global sea surface salinity by Guangwen Peng, Yingbing Liu, Cong Xiao, Wenying Du, Changjiang Xiao

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A Novel Federated Learning Framework for Sustainable and Efficient Breast Cancer Classification System (FL-L₂CNN-BCDet) by Nesma Abd El-Mawla, Mohamed A. Berbar, Nawal A. El-Fishawy, Mohamed A. El-Rashidy

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Integrating Fractional-Order Hopfield Neural Network with Differentiated Encryption: Achieving High-Performance Privacy Protection for Medical Images by Wei Feng, Keyuan Zhang, Jing Zhang, Xiangyu Zhao, Yao Chen, Bo Cai, Zhengguo Zhu, Heping Wen, Conghuan Ye

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MalGEA: A malware analysis framework via matrix factorization based node embedding and graph external attention by Ruisheng Li, Qilong Zhang, Huimin Shen

“…Experimental results demonstrate that our method significantly outperforms existing node embedding approaches in terms of computational efficiency, while also achieving high accuracy in malware detection and family classification tasks.…”
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A deep learning approach: Physics-informed neural networks for solving the 2D nonlinear Sine–Gordon equation by Alemayehu Tamirie Deresse, Tamirat Temesgen Dufera

“…We evaluated the accuracy of the model by comparing it to other standard numerical methods in the literature through root mean square error (RMSE), L∞, and L2 relative errors. …”
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Automatic in-situ radiometric calibration for mobile laser scanning: Compensating for distance and angle of incidence effects by H. Laasch, T. Medic, A. Wieser

“…It uses local reflectance estimation, which relies on a modified filtering technique, accommodating the unique characteristics of MLS data. The local method computes the best-fitting AOI compensation function per segment, ideally containing a single material. …”
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Regionalized Generation Expansion Planning: Integrating Spatial Constraints by Radhanon Diewvilai, Kulyos Audomvongseree

“…An area-based reliability index is used to evaluate each area&#x2019;s reliability level, aiding in the suitable placement of future generation units. …”
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Accelerated Adoption of Google Earth Engine for Mangrove Monitoring: A Global Review by K. M. Ashraful Islam, Paulo Murillo-Sandoval, Eric Bullock, Robert Kennedy

“…Traditional remote sensing workflows often struggle with large data volumes, complex preprocessing, and limited computational resources. Google Earth Engine (GEE) addresses these challenges through scalable, cloud-based computation, extensive, preprocessed imagery catalogs, built-in algorithms for rapid feature engineering, and collaborative script sharing that improves reproducibility. …”
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