A novel network-level fused deep learning architecture with shallow neural network classifier for gastrointestinal cancer classification from wireless capsule endoscopy images by Muhammad Attique Khan, Usama Shafiq, Ameer Hamza, Anwar M. Mirza, Jamel Baili, Dina Abdulaziz AlHammadi, Hee-Chan Cho, Byoungchol Chang

“…Abstract Deep learning has significantly contributed to medical imaging and computer-aided diagnosis (CAD), providing accurate disease classification and diagnosis. …”
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Research on efficient numerical method of air flow and heat transfer in a refrigerated truck by Shiming Liu, Qi Deng, Yingsun Sun, Puxian Ding

“…The analysis incorporates both iterative (ITA) and non-iterative time-advancement (NITA) schemes to assess computational efficiency. The research aims to compare the accuracy and efficiency of the BSL k-ω and the SST k-ω models, establish an optimal numerical method for reliable simulations, and evaluate the computational benefits of NITA over traditional ITA schemes. …”
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Advanced 3D Face Reconstruction from Single 2D Images Using Enhanced Adversarial Neural Networks and Graph Neural Networks by Mohamed Fathallah, Sherif Eletriby, Maazen Alsabaan, Mohamed I. Ibrahem, Gamal Farok

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The Effects of the Tractor and Semitrailer Routing Problem on Mitigation of Carbon Dioxide Emissions by Hongqi Li, Yanran Li, Yue Lu, Qiang Song, Jun Zhang

“…Computational experiments on various problems generated randomly and a realistic instance are conducted. …”
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Molecular Interaction Studies in Binary Liquid Mixtures from Ultrasonic Data by N. Santhi, PL. Sabarathinam, M. Emayavaramban C. Gopi, C. Manivannan

“…The validity of these relations and theories was tested by comparing the computed sound velocities with experimental values. …”
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Predicting Renal Cell Carcinoma Subtypes and Fuhrman Grading Using Multiphasic CT-Based Texture Analysis and Machine Learning Techniques by Amit Gupta, Sanil Garg, Neel Yadav, Rohan Raju Dhanakshirur, Kshitiz Jain, Rishi Nayyar, Seema Kaushal, Chandan J. Das

“… Objectives The aim of this study is to evaluate computed tomography texture analysis (CTTA) on multiphase CT scans for distinguishing clear cell renal cell carcinoma (ccRCC) from non-ccRCC and predicting Fuhrman's grade in ccRCC using open-source Python libraries.…”
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Investigating Tensile Strength in SLA 3D Printing Enhancement Through Experimentation and Finite Element Analysis by Siwasit Pitjamit, Norrapon Vichiansan, Parida Jewpanya, Pinit Nuangpirom, Pakpoom Jaichomphu, Komgrit Leksakul, Pattarawadee Poolperm

“…This study investigates the optimization of tensile strength in SLA 3D printed resin through a comprehensive experimental and computational analysis. Utilizing a multilevel factorial design approach, the study systematically evaluates the influence of print orientation and layer orientation on tensile strength. …”
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An Efficient and Low-Complexity Transformer-Based Deep Learning Framework for High-Dynamic-Range Image Reconstruction by Josue Lopez-Cabrejos, Thuanne Paixão, Ana Beatriz Alvarez, Diodomiro Baldomero Luque

“…The proposed architecture was evaluated on two datasets, achieving the best results on Tel’s dataset in terms of quality metrics. …”
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Implementation of a Non-Intrusive Primal–Dual Method with 2D-3D-Coupled Models for the Analysis of a DCB Test with Cohesive Zones by Ricardo Hernández, Jorge Hinojosa, Ignacio Fuenzalida-Henríquez, Víctor Tuninetti

“…This study explores a global–local non-intrusive computational strategy to address problems in computational mechanics, specifically applied to a double cantilever beam (DCB) with cohesive interfaces. …”
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Damage and failure modeling of lotus-type porous material subjected to low-cycle fatigue by J. Kramberger, K. Sterkuš, S. Glodež

“…Porous materials exhibit some unique features which are useful for a number of various applications. This paper evaluates a numerical approach for determining of damage initiation and evolution of lotus-type porous material with computational simulations, where the considered computational models have different pore topology patterns. …”
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Potential source of bias in AI models: lactate measurement in the ICU in sepsis patients as a template by Pratiksha Pradhan, Pratiksha Pradhan, Fredrik Willumsen Haug, Fredrik Willumsen Haug, Nebal S. Abu Hussein, Nebal S. Abu Hussein, Dana Moukheiber, Lama Moukheiber, Mira Moukheiber, Sulaiman Moukheiber, Luca Leon Weishaupt, Jacob G. Ellen, Helen D'Couto, Ishan C. Williams, Leo Anthony Celi, Leo Anthony Celi, Leo Anthony Celi, Joao Matos, Joao Matos, Joao Matos, Tristan Struja, Tristan Struja, Tristan Struja

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Beyond N-Grams: Enhancing String Kernels With Transformer-Guided Semantic Insights by Nazar Zaki, Reem Alderei, Mahra Alketbi, Alia Alkaabi, Fatima Alneyadi, Nadeen Zaki

“…The publicly available datasets and robust empirical evaluations contribute valuable benchmarks for future research. …”
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Design and Implementation of a Simulation Framework for a Bio–Neural Dust System by Oussama Abderrahmane Dambri, Arash Azarnoush, Dimitrios Makrakis, Gabriel Levesque, Maja Witter, Abdelhakim Senhaji Hafid

“…This paper presents the development of a computer simulation framework, designed as a cost–effective and technically efficient alternative to experimental studies. …”
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Learning-based parallel acceleration for HaplotypeCaller by Xiangxing Lai, Minguang Xiao, Lingling Weng, Zhiguang Chen

“…Parallelizing GATK HaplotypeCaller with data segmentation is an effective solution, but existing methods struggle to accurately estimate the computational complexity of each data block, leading to severe computational skew. …”
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Entropy-Based Emotion Recognition Using EEG Signals by Yeganeh Alidoost, Babak Mohammadzadeh Asl

“…Additionally, practical applications demand a balance between reducing computational complexity and maintaining high classification accuracy. …”
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SAGCN: Self-Attention Graph Convolutional Network for Human Pose Embedding by Zhongxiong Xu, Jiajun Hong, Yicong Yu, Chengzhu Lin, Linfei Yu, Meixian Xu

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Wheat Soil-Borne Mosaic Virus Disease Detection: A Perspective of Agricultural Decision-Making via Spectral Clustering and Multi-Indicator Feedback by Xue Hou, Chao Zhang, Yunsheng Song, Turki Alghamdi, Majed Aborokbah, Hui Zhang, Haoyue La, Yizhen Wang

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An Open Graph Dataset Organized by Scales by Ying Zhao, Xianzhe Zou, Xiao Wang, Zhanpeng Yang, Xuan Wang, Xin Zhao, Ning Zhang, Xin Huang, Fangfang Zhou

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AI-based prediction of traffic crash severity for improving road safety and transportation efficiency by Ayman Mohamed Mostafa, Bader Aldughayfiq, Mayada Tarek, Alaa S. Alaerjan, Hisham Allahem, Murtada K. Elbashir, Mohamed Ezz, Eslam Hamouda

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Enhancing Image Quality by Optimizing and Fine-Tuning Multi-Fidelity Generative Adversarial Networks by Noor Baha Aldin

“…Achieving a balance between image quality and computational efficiency is one of the most challenging tasks in image enhancement. …”
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