Evaluation of paired-end sequencing strategies for detection of genome rearrangements in cancer. by Ali Bashir, Stanislav Volik, Colin Collins, Vineet Bafna, Benjamin J Raphael

“…We use this formula to compute fusion gene probabilities in several breast cancer samples, and we find that we are able to accurately predict fusion genes in these samples with a relatively small number of fragments of large size. …”
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Evaluation of generative models for emotional 3D animation generation in VR by Kiran Chhatre, Renan Guarese, Andrii Matviienko, Christopher Peters

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Accuracy and robustness evaluation of deep learning algorithms in facial recognition systems by Jing Zhang, Ningyu Hu

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Interface design and interaction optimization for spatial computing 3D content creation and immersive environment generation using Apple Vision Pro by Jie Fu, Mick Grierson, Renpeng Jiang, Shun Fu, Mengzhi He, Muhan Xu

“…A mixed-methods evaluation with 20 participants from diverse creative backgrounds demonstrated that spatial computing-based creation paradigms significantly reduce cognitive load in the design process. …”
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Real-Time Monitoring of Personal Protective Equipment Adherence Using On-Device Artificial Intelligence Models by Yam Horesh, Renana Oz Rokach, Yotam Kolben, Dean Nachman

“…By utilizing a lightweight MobileNetV3 model, we optimized the system for edge computing on a Raspberry Pi 5 single-board computer, enabling rapid image processing without the need for external servers. …”
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Evaluating Handwritten Answers Using DeepSeek: A Comparative Analysis of Deep Learning-Based Assessment by Sanskar Bansal, Vinay Gupta, Eshita Gupta, Peeyush Garg

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Evaluation and optimization of adaptive cruise control in autonomous vehicles using the car learning to act simulator: A performance evaluation under various weather conditions by Roza Al-Hindawi, Taqwa Alhadidi

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A Comparative Analysis of Three Data Fusion Methods and Construction of the Fusion Method Selection Paradigm by Ziqi Liu, Ziqiao Yin, Zhilong Mi, Binghui Guo, Zhiming Zheng

“…However, the choice of fusion strategies for different scenarios is often based on experimental comparisons, which leads to increased computational costs during model training and suboptimal performance during testing. …”
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Analysis of Beam-Column Designs by Varying Axial Load with Internal Forces and Bending Rigidity Using a New Soft Computing Technique by Wen Huang, Tianhua Jiang, Xiucheng Zhang, Naveed Ahmad Khan, Muhammad Sulaiman

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Real-Time Milk Quality Control Using Multi-Spectral Sensing and Edge Computing: Advancing On-Site Detection of Milk Components with XGBoost by Mahmut Durgun

“…This study explores the use of edge computing technologies to enhance the quality control processes in the dairy industry. …”
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Fractional-Order System Identification: Efficient Reduced-Order Modeling with Particle Swarm Optimization and AI-Based Algorithms for Edge Computing Applications by Ignacio Fidalgo Astorquia, Nerea Gómez-Larrakoetxea, Juan J. Gude, Iker Pastor

“…While PSO achieves slightly lower error metrics, its iterative nature leads to higher and more variable computation times compared to the deterministic and rapid inference of AI approaches. …”
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CooccurrenceAffinity: An R package for computing a novel metric of affinity in co-occurrence data that corrects for pervasive errors in traditional indices. by Kumar P Mainali, Eric Slud

“…We further develop functions (a) to compute those intervals, (b) to evaluate their true coverage probability of enclosing the population parameter, and (c) to generate figures. 4. …”
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Optimizing Machine Learning Models with Data-level Approximate Computing: The Role of Diverse Sampling, Precision Scaling, Quantization and Feature Selection Strategies by Ayad M. Dalloo, Amjad J. Humaidi

“…In this paper, we propose a framework that uses data-level approximate computing techniques, including by diverse sampling strategies, precision scaling, quantization, and feature selection methods, to evaluate the impact of these techniques on the computational efficiency and accuracy of KNN and SVM models. …”
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Evaluating the effectiveness of online courses in international trade using deep learning by Zhaozhe Zhang, Javier De Andrés

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Image Visual Quality: Sharpness Evaluation in the Logarithmic Image Processing Framework by Arnaud Pauwelyn, Maxime Carré, Michel Jourlin, Dominique Ginhac, Fabrice Meriaudeau

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A Delphi Evaluation of User Interface Design Guidelines: The Case of Arabic by Ahmed Al-Sa’di, Hosam Al-Samarraie

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State of What Art? A Call for Multi-Prompt LLM Evaluation by Moran Mizrahi, Guy Kaplan, Dan Malkin, Rotem Dror, Dafna Shahaf, Gabriel Stanovsky

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Open-Source Ethernet MAC IP Cores for FPGAs: Overview and Evaluation by Christian Fibich, Patrick Schmitt, Roland Höller, Peter Rössler

“…The goal of this work is to survey available open-source Ethernet MAC IP cores, evaluate existing designs in terms of performance, resource utilization, code quality, or maturity, and to present and summarize the evaluation results herein. …”
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Harnessing large language models to auto-evaluate the student project reports by Haoze Du, Qinjin Jia, Edward Gehringer, Xianfang Wang

“…The detailed descriptions of the methods used with the LLMs for generating effective text feedback evaluations for student project reports will be useful to AI computer programmers, researchers, and computer science instructional designers for improving their courses and future research.…”
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Automated evaluation systems to enhance exam quality and reduce test anxiety by Doaa Mohamed Elbourhamy

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