Early diagnosis of autism across developmental stages through scalable and interpretable ensemble model by Nasirul Mumenin, Maisha Mumtaz Rahman, Mohammad Abu Yousuf, Farzan M. Noori, Md Zia Uddin

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Emerging SMOTE and GAN Variants for Data Augmentation in Imbalance Machine Learning Tasks: A Review by Amadi G. Udu, Marwah T. Salman, Maryam K. Ghalati, Andrea Lecchini-Visintini, David R. Siddle, Hongbiao Dong

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Artificial Intelligence (AI) and the University. How AI Will Change Our Approach to Education by Jacek Grzybowski

“…We will no longer ask who—a human being or a machine—created a certain work, the only evaluation criterion will be its reception and the impression it makes on the recipient’s mind. …”
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Enhancing Supply Chain Agility and Sustainability through Machine Learning: Optimization Techniques for Logistics and Inventory Management by Vikram Pasupuleti, Bharadwaj Thuraka, Chandra Shikhi Kodete, Saiteja Malisetty

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Applying fuzzy analytic hierarchy process to select models developed by abstraction and decision fusion architecture (case study: classification of Persian handwritten characters) by Mohammad Safaei, Somaye Moghari, Mohammad Kazem Fallah, Mehrdad Ghaznavi

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LFEN: A language feature enhanced network for scene text recognition by Hui Chen, Runming Jiang, Fang Hu, Min Chen, Yin Zhang

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Digital Twin for Analog Mars Missions: Investigating Local Positioning Alternatives for GNSS-Denied Environments by Benjamin Reimeir, Amelie Leininger, Raimund Edlinger, Andreas Nüchter, Gernot Grömer

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SpDRAM: Efficient In-DRAM Acceleration of Sparse Matrix-Vector Multiplication by Jieui Kang, Soeun Choi, Eunjin Lee, Jaehyeong Sim

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How AI-powered consultation services in internet hospitals influence patient satisfaction: A structural analysis by Junkai Wang, Linru Fu, Zeguang Huang, Kan Hu, Zhizhuo Lin, Qiuhong Tang

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Optimizing Energy/Current Fluctuation of RF-Powered Secure Adiabatic Logic for IoT Devices by Bendito Freitas Ribeiro, Yasuhiro Takahashi

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Strategies for avoiding land disputes risk: a tripartite evolutionary game based on local governments, enterprises and farmers by Bin Tong, Shukui Tan, Junwen Zhang

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Revolutionizing prostate cancer diagnosis: Unleashing the potential of an optimized deep belief network for accurate Gleason grading in histological images by S. Angel Latha Mary, S. Siva Subramanian, G. Priyanka, T. Vijayakumar, Suganthi Alagumalai

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A Closed-Loop Ear-Worn Wearable EEG System with Real-Time Passive Electrode Skin Impedance Measurement for Early Autism Detection by Muhammad Sheeraz, Abdul Rehman Aslam, Emmanuel Mic Drakakis, Hadi Heidari, Muhammad Awais Bin Altaf, Wala Saadeh

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A Fast Registration Method for Building Point Clouds Obtained by Terrestrial Laser Scanner via 2-D Feature Points by Wuyong Tao, Yansheng Xiao, Ruisheng Wang, Tieding Lu, Shaoping Xu

“…Experimental evaluation conducted on two publicly available datasets well demonstrates that the proposed registration method can achieve good computational efficiency and high accuracy.…”
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Larger models yield better results? Streamlined severity classification of ADHD-related concerns using BERT-based knowledge distillation. by Ahmed Akib Jawad Karim, Kazi Hafiz Md Asad, Md Golam Rabiul Alam

“…Especially using readily available computational tools like Google Colab and Kaggle Notebooks. …”
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Deep Learning Framework for Predicting Transonic Wing Buffet Loads Due to Structural Eigenmode-Based Deformations by Rebecca Zahn, Moritz Zieher, Christian Breitsamter

“…The accurate prediction of unsteady surface pressure distributions is crucial for assessing aeroelastic stability and preventing structural failure, but full-order simulations are computationally expensive; the proposed ROM provides a fast and efficient alternative with a sufficient level of accuracy. …”
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Hierarchical Mixed-Precision Post-Training Quantization for SAR Ship Detection Networks by Hang Wei, Zulin Wang, Yuanhan Ni

“…Post-training quantization (PTQ) provides an efficient method for pre-training neural networks to effectively reduce memory and computational resources without retraining. Despite this, PTQ faces the challenge of maintaining model accuracy, especially at low-bit quantization (e.g., 4-bit or 2-bit). …”
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Research on the connectivity reliability analysis and optimization of natural gas pipeline network based on topology by Xiuxuan Yang, Kun Chen, Minghui Liu

“…This study proposes an integrated framework combining connectivity reliability evaluation with adaptive topology optimization. First, a minimum path set-based reliability model is developed, leveraging an enhanced depth-first search (DFS) algorithm for efficient path identification and binary decision diagrams (BDD) to eliminate 92% of redundant terms in reliability formulas, reducing computational complexity by 40% compared to Monte Carlo simulations. …”
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The Influence of Thermocycling and Ultraviolet Aging on Surface Characteristics and the Repair Bond Strength of CAD/CAM Resin Nanoceramics by Beyza Unalan Degirmenci, Alperen Degirmenci, Zelal Seyfioglu Polat

“…Background: The durability of computer-aided design/computer-aided manufacturing (CAD/CAM) resin nanoceramics in the oral environment is influenced by aging factors such as thermocycling and ultraviolet (UV) exposure. …”
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Enhancing phase change thermal energy storage material properties prediction with digital technologies by Minghao Yu, Jing Liu, Cheng Chen, Mingyue Li

“…Hierarchical feature fusion modules combine low-level atomistic descriptors with high-level continuum features.ResultsBenchmark evaluations show improved performance in predicting elastic modulus, thermal conductivity, and phase transition temperature across five material classes. …”
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