Low‐Power Optoelectronic Synaptic Transistors with Multimodal Neuromorphic Computation and Retinal‐Inspired Multiband Optical Binary Communication by Bo Huang, Linfeng Lan, Jiayi Pan, Fuzheng Qi, Jing Li, Churou Wang, Yaping Li, Dechun Zeng, Jiale Huang, Jintao Xu, Junbiao Peng

“…More importantly, the dextran‐OSTs can significantly advance the capabilities of binary optical information processing and memorizing. This demonstrates the great advantages of dextran‐OSTs in multimodal neuromorphic computation, visual self‐adaptation, synergy sensing, and multiband optical communication.…”
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Can Unlabelled Data Improve AI Applications? A Comparative Study on Self-Supervised Learning in Computer Vision. by Markus Bauer, Christoph Augenstein

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Non-parametric comparison of survival functions with censored data: A computational analysis of greedy and Monte Carlo approaches by Lubomír Štěpánek, Filip Habarta, Ivana Malá, Luboš Marek

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Automating attendance management in human resources: A design science approach using computer vision and facial recognition by Bao-Thien Nguyen-Tat, Minh-Quoc Bui, Vuong M. Ngo

“…Unlike Deep Learning algorithms, which typically require significant resources and expensive computing costs, it uses simple image processing techniques like edge detection and Haar features that are easy to comprehend and implement. …”
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DEM-bond model: A computational framework for designing mechanically enhanced polymer nanosphere-based ordered nanostructures by Dan Chen, Zhiren Chen, Tengfang Zhang, Zhihong Zhu, Qingwei Zhou, Fang Luo, Fan Wu, Yunming Wang, Chucai Guo

“…By establishing quantitative correlations between processing parameters (temperature, pressure, types of crosslinking agents and concentration) and mechanical outputs (stiffness and hardness), the DEM-Bond framework provides a powerful computational platform for rational design of nanostructured polymer devices. …”
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A Conceptual Architecture for Adaptive Human-Computer Interface of a PT Operation Platform Based on Context-Awareness by Qing Xue, Xuan Han, Mingrui Li, Minxia Liu

“…We present a conceptual architecture for adaptive human-computer interface of a PT operation platform based on context-awareness. …”
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Computed Tomography-Based Volumetric Additive Manufacturing: Development of a Model Based on Resin Properties and Part Size Interrelationship—Part I by Amir H. Behravesh, Asra Tariq, John Buni, Ghaus Rizvi

“…This study presents an analytical description of the computed tomography-based volumetric additive manufacturing (VAM) process, with an emphasis on the impact of resin properties on product dimensions. …”
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Data Mining–Based Model for Computer-Aided Diagnosis of Autism and Gelotophobia: Mixed Methods Deep Learning Approach by Mohamed Eldawansy, Hazem El Bakry, Samaa M Shohieb

“…Deep learning models were developed using libraries such as PyTorch for training the multilayer perceptron classifier, while CUDA was used to accelerate computations on compatible graphics processing units. …”
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Clinical and computational exploration of red date fruit vinegar: synergistic effects on cardiovascular and type 2 diabetes pathways by Zeshan Ali, Zeshan Ali, Hamad Rafique, Rana Adnan Tahir, Tania Saeed, Muhamad Amir Rasheed, Ishrat Khan, Tawfiq Alsulami, Muqadas Shahzadi, Mariam Laraib Amir, Suleiman A. Althawab, Fangchao Cui, Fangchao Cui

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An EEG dataset for studying asynchronous steady-state visual evoked potential (SSVEP) based brain computer interfaces by Jing Zhao, Qian Zhang, Xinrui Wang, Xueshuo Liu, Jiaxin Li, Fengjie Fan, Zhenhu Liang, Xiaoli Li

“…Compared with the commonly used synchronous brain-computer interface (BCI), the asynchronous BCI is a more flexible and natural way to control the real-world robotic devices. …”
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Probability Multivalued Linguistic Neutrosophic Sets for Quality Evaluation of Digital Media Content Creation and Editing with Computer Assistance by Wen Li, Mengna Guo, Tian Tian

“…The use of computer-assisted tools and artificial intelligence (AI) has drastically changed the content generation and editing processes in the quickly changing world of digital media. by emphasis on usability, performance, creativity support, and automation capabilities, this research performs a thorough quality review of digital media content creation and editing systems augmented by AI. …”
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Exploring the density and morphology of coconut structures at two locations: a time-based analysis using computer tomography by Shenghuang Lin, Chengxu Sun, Li’an Luo, Mengxing Huang, JeromeJeyakumar John Martin, Hongxing Cao, Jinyue Hu, Zhiming Bai, Zhanping He, Yu Zhang, Jing Chen

“…These coconuts were scanned four times using CT, with a two-week interval between each scan. CT data were post-processed to reconstruct two-dimensional slices and three-dimensional models. …”
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Testing the reliability of geometric morphometric and computer vision methods to identify carnivore agency using Bi-Dimensional information by Manuel Domínguez-Rodrigo, Marina Vegara-Riquelme, Juan Palomeque-González, Blanca Jiménez-García, Gabriel Cifuentes-Alcobendas, Marcos Pizarro-Monzo, Elia Organista, Enrique Baquedano

“…However, a limitation in CV methods occurs when applied to the fossil record, as BSM undergo dynamic transformations over time. The most impactful processes occur early in taphonomic history, altering the original BSM properties. …”
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New computational results for integrated production and outbound distribution scheduling problems for a product with a short lifespan by Markó Horváth

“…A set of orders must be satisfied such that the required pieces from a single product must be first processed on a single machine in a plant, then must be delivered to the customers before their lifespan expire using a single vehicle. …”
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Evaluation the root canal shape among residents of Moscow region using cone beam computed tomography scanning by Svetlana Razumova, Anzhela Brago, Haydar Barakat, Ashot Manvelyan, Zoya Guryeva, Elvira Adzhieva, Nikolay Razumov

“…The high occurrence of oval and ribbon-shaped canals, especially in the apical region, may be a problem in their processing and requires further study.…”
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Tracking algorithm when managing competitive activities of top level teams online based on computer visioncomputer vision by A. A. Polozov, N. A. Maltceva, G. S. Kramarenko, M. A. Lipilin, A. R. Akhmetzyanov

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A new role for fluorine-18-fluorodeoxyglucose positron-emission tomography/computed tomography in Erdheim-Chester disease by Ciska-Anne Van Keerberghen, Antoine Harrouk, Luca Leone

“…The disease is challenging to diagnose due to its rarity and mimicry of other infiltrative processes. Technetium-99 m bone scintigraphy showing pathological bone activity in the long bones is highly suggestive of ECD. …”
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Enhancing Road Safety on US Highways: Leveraging Advanced Computer Vision for Automated Guardrail Damage Detection and Evaluation by Alfarooq Al Oide, Dmitry Manasreh, Mohammad Karasneh, Mohamad Melhem, Munir D. Nazzal

“…Existing automated solutions do not fully address the challenges of accurately identifying and assessing guardrail damage under varying lighting and weather conditions and the computational demands of real-time processing. This study addresses these challenges by introducing a novel framework utilizing advanced computer vision techniques, such as YOLOv8 models and the Deep OC–SORT tracker, integrated with camera and GPS systems mounted on a vehicle. …”
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Efficient Computation of Radiative Heat Recovery from Porous Ceramic Monoliths for Efficient Solar Thermochemical Fuel Production by Aniket S. Patankar, Xiao-Yu Wu, Wonjae Choi, Harry Tuller, Ahmed Ghoniem

“…This method, called GREENER: Generalized Radiation Exchange Factors and Net Radiation, combines the accuracy of Monte Carlo Ray Tracing with the low computational cost of the P1 or Rosseland diffusion approximations. …”
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A Symmetric Projection Space and Adversarial Training Framework for Privacy-Preserving Machine Learning with Improved Computational Efficiency by Qianqian Li, Shutian Zhou, Xiangrong Zeng, Jiaqi Shi, Qianye Lin, Chenjia Huang, Yuchen Yue, Yuyao Jiang, Chunli Lv

“…This paper proposes a data security training framework based on symmetric projection space and adversarial training, aimed at addressing the issues of privacy leakage and computational efficiency encountered by current privacy protection technologies when processing sensitive data. …”
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