AI generations: from AI 1.0 to AI 4.0 by Jiahao Wu, Hengxu You, Jing Du

“…Each AI generation is driven by shifting priorities among algorithms, computing power, and data. AI 1.0 accompanied breakthroughs in pattern recognition and information processing, fueling advances in computer vision, natural language processing, and recommendation systems. …”
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Improving Token-Based Object Detection With Video by Abhineet Singh, Nilanjan Ray

“…This paper improves upon the Pix2Seq object detector by extending it for videos. In the process, it introduces a new way to perform end-to-end video object detection that improves upon existing video detectors in two key ways. …”
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Advancements in Intelligent Sensing Technologies for Food Safety Detection by Wenhui Jiang, Changhong Liu, Wei Liu, Lei Zheng

“…Integrated intelligent sensing systems, incorporating advanced information perception and computational intelligence, have emerged as rapid, user-friendly, and cost-effective solutions through the synergy of multisource sensors and smart computing. …”
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Research on the Key Issues of Big Data Quality Management, Evaluation, and Testing for Automotive Application Scenarios by Yingzi Wang, Ce Yu, Jue Hou, Yongjia Zhang, Xiangyi Fang, Shuyue Wu

“…Through the comprehensive detection process of data importance, network busyness, duration of transmission process, and failure situation, the efficiency has been increased by 20%, and an adaptive data integrity detection method based on random algorithm and encryption algorithm is designed. …”
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ACCOUNTING OF INSTRUMENTAL ERRORS IN THE CONTROL OF WINDINGS OF ELECTRICAL MACHINES WITH THE USE OF QUASI-PERIODIC TEST SIGNALS by A. A. Sheinikov, Yu. V. Suchodolov, V. V. Zelenko

“…Automatic accounting of these errors makes it possible to do without complex correlation processing of quasi-periodic signals that require large computing resources (time and speed of data processing, the amount of RAM) and to ensure the accuracy of measurements.…”
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The State of Retinal Image Analysis: Deep Learning Advances and Applications by Toufique Ahmed Soomro, Faisal Bin Ubaid, Shehnila Zardari, Ahmed Ali Shah, Marwah M. Alansari, Shimaa A. Nagro

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UAV-assisted federated learning with hybrid LoRa P2P/LoRaWAN for sustainable biosphere by Mehran Behjati, Haider A. H. Alobaidy, Rosdiadee Nordin, Nor Fadzilah Abdullah

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Gate‐Tunable Dual‐Mode Optoelectronic Device for Self‐Powered Photodetector and Optoelectronic Synapse by Yi Ouyang, Chaoyi Zhang, Jun Wang, Zheng Guo, Zegao Wang, Mingdong Dong

“…Abstract In the advancing field of optoelectronics, multifunctional devices that integrate both detection and processing capabilities are increasingly desirable. …”
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Soft Electronic Switches and Adaptive Logic Gates Based on Nanostructured Gold Networks by Giacomo Nadalini, Alexander Dallinger, Davide Sottocorno, Francesco Greco, Francesca Borghi, Paolo Milani

“…The integration of data processing capabilities on soft materials is here focused on the development of the edge computing paradigm of interest for soft robotics and wearable devices. …”
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Tool changing and tool sharing system for interconnected multi-material direct ink write 3D printers by James P. Verheyden, Bryce Huffaker, Max J. Sevcik, Isaac Snyder, Finnegan Wilson, Grace I. Rabinowitz, Carter Watkins, Elbert Caravaca, Edward G. Tersine, Veronica Eliasson

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Direct 3D Method of Characteristic Based on Efficient Characteristic Tracing and On-the-fly Generation by YU Rongjun, YANG Rui, HU Yun, ZHAO Shouzhi

“…Among them, the direct 3D MOC has powerful geometric processing capabilities, but its performance requirements for computers are harsh, especially the large storage scale will limit the applicability of the machine. …”

New hybrid features extracted from US images for breast cancer classification by Gigi Tăbăcaru, Simona Moldovanu, Dan Munteanu, Marian Barbu

“…Abstract Artificial intelligence (AI), and image processing fields play a vital role in classifying benign and malignant breast cancer (BC). …”
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Dynamic ReLab: A Binary Path-Based Labeling Scheme for Dynamic XML Data by Yanche Ari Kustiawan, Khairil Imran Ghauth

“…These results highlight Dynamic ReLab’s relevance for modern applications requiring real-time adaptability and high-performance query processing in dynamic XML data environments.…”
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Decentralized Distributed Sequential Neural Networks Inference on Low-Power Microcontrollers in Wireless Sensor Networks: A Predictive Maintenance Case Study by Yernazar Bolat, Iain Murray, Yifei Ren, Nasim Ferdosian

“…The growing adoption of IoT applications has led to increased use of low-power microcontroller units (MCUs) for energy-efficient, local data processing. However, deploying deep neural networks (DNNs) on these constrained devices is challenging due to limitations in memory, computational power, and energy. …”
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A novel approach to Fuzzy mixed graph structure with application towards trade relations between countries by Xiaolong Shi, Yongjun Dai, Ali Asghar Talebi, Hossein Rashmanlou, Seyed Hossein Sadati

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Efficient text-to-video retrieval via multi-modal multi-tagger derived pre-screening by Yingjia Xu, Mengxia Wu, Zixin Guo, Min Cao, Mang Ye, Jorma Laaksonen

“…Most existing methods use real-valued and hash-based embeddings to represent the video and text, allowing retrieval by computing their similarities. However, these methods are often inefficient for large volumes of video, and require significant storage and computing resources. …”
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Enhancing implicit sentiment analysis via knowledge enhancement and context information by Yanying Mao, Qun Liu, Yu Zhang

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Dietary Recommendation Based on Multi-objective Optimization Integrating Nutritional Knowledge and Preference-Health Balance by JIN Ying, MIN Weiqing, ZHOU Pengfei, MEI Shuhuan, JIANG Shuqiang

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Efficient optimum safety factor approach for system reliability-based design optimization with application to composite yarns by Gh. Kharmanda, I. R. Antypas

“…An Optimum Safety Factor (OSF) method is proposed to compute safety factors satisfying a required reliability level without demanding additional computing cost for the reliability evaluation. …”
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Noise-induced self-supervised hybrid UNet transformer for ischemic stroke segmentation with limited data annotations by Wei Kwek Soh, Jagath C. Rajapakse

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