A Lightweight Breast Cancer Mass Classification Model Utilizing Simplified Swarm Optimization and Knowledge Distillation by Wei-Chang Yeh, Wei-Chung Shia, Yun-Ting Hsu, Chun-Hui Huang, Yong-Shiuan Lee

“…This research addresses these challenges by utilizing the CBIS-DDSM dataset and introducing a novel concatenated classification architecture and a two-stage strategy to develop an optimized, lightweight model for breast mass abnormality classification. Through data augmentation and image preprocessing, the proposed model demonstrates a superior performance compared to standalone CNN and DNN models. …”
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A rapid recognition method for radar active jamming based on the Hybrid 3_CNN‐Transformer model by Jingjing Wei, Lei Yu, Yinsheng Wei, Rongqing Xu

“…For scenarios with limited data, a rapid active jamming recognition method based on the Hybrid 3_CNN‐Transformer model is proposed. …”
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Integrating Tiny Machine Learning and Edge Computing for Real-Time Object Recognition in Industrial Robotic Arms by Nian-Ze Hu, Bo-An Lin, Yen-Yu Wu, Hao-Lun Huang, You-Xin Lin, Chih-Chen Lin, Po-Han Lu

“…The developed system in this study included the SparkFun Edge development board and Raspberry Pi Camera Module 3, as edge devices for data processing, image recognition, and robotic arm control. …”
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Comparative Analysis of RESTful, GraphQL, and gRPC APIs: Perfomance Insight from Load and Stress Testing by Steven Chandra, Ahmad Farisi

“…Backend constitutes a critical component of digital infrastructure, responsible for processing business logic, managing data, and facilitating communication between software systems. …”
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Comparative Analysis of RESTful, GraphQL, and gRPC APIs: Perfomance Insight from Load and Stress Testing by Steven Chandra, Ahmad Farisi

“…Backend constitutes a critical component of digital infrastructure, responsible for processing business logic, managing data, and facilitating communication between software systems. …”
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Performance Determination of New Universal Dryer Models by A. S. Klyuchnikov

“…In unfavorable weather, grain crops were harvested by a forage harvester and then dried in a mini-module. After processing, high-quality seeds were obtained, the germination rate of which accounted 98-99 percent.…”
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Research and application of mining AI video edge computing technology by ZHANG Liya, HAO Bonan, MA Zheng, YANG Zhifang

“…This enabled real-time and on-site analysis and processing of underground video data, effectively reducing the data transmission delay and improving the response rate and processing efficiency of video analysis.…”
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1-Bit/2-Level Analog-to-Digital Conversion Based on Comparator and FPGA for Aperture Synthesis Passive Millimeter-Wave Imager by Xiangzhou Guo, Ghulam Mehdi, Muhammad Asif, Anyong Hu, Jungang Miao

“…The main error sources during sampling are identified as the timing error of sampling clocks and threshold offset of comparators and analyzed in detail. The sampled data are captured by field programmable gate arrays (FPGAs) to perform further signal processing, and a data capture module performing the serial-to-parallel conversion and per-bit deskew is designed in the FPGA to transfer sampled data from the sampling clock domain to the internal processing clock domain. …”
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Reservoir Computing Based on Two Parallel Reservoirs Under Identical Electrical Message Injection by Dian-Zuo Yue, Zheng-Mao Wu, Yu-Shuang Hou, Chun-Xia Hu, Zai-Fu Jiang, Guang-Qiong Xia

“…Under satisfying the requirement for achieving a good performance, the highest data processing rate can be doubled for RC_M with respect to that for RC₁/RC₂.…”
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Target image detection algorithm of complex road scene based on improved multi-scale adaptive feature fusion technology by Xu Zhaosheng, Liao Zhongming, Xiao Xiaoyong, Ahmad Suzana, Mat Diah Norizan, Ismail Azlan

“…The simulation outcomes illustrate that the recommended IMSAFFT model increases the accuracy ratio of 98.4%, target image detection ratio of 97.4%, traffic prediction rate of 96.5%, processing speed rate of 10.4% and F1-score ratio of 95.4% compared to other existing models.…”
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Klasifikasi Ekspresi Wajah Menggunakan Covolutional Neural Network by Ahmad Taufiq Akbar, Shoffan Saifullah, Hari Prapcoyo

“…Hasil menunjukkan akurasi tertinggi sebesar 90.6% dengan learning rate 0.001 pada pembagian 85% data latih dan 15% data uji, melebihi model yang lebih kompleks. …”
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Differential Rotation of Individual Sunspots and Pores by Andrey G. Tlatov, Kseniya A. Tlatova

“…The analysis of the rotation rate of individual sunspots and pores was performed according to the data from the processing of observations by the Solar Dynamics Observatory/Helioseismic and Magnetic Imager in the period 2010–2024. …”
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Digital materiality by Christian STEIN

“…Similarly, today's AI advancements evoke concerns about technology surpassing human abilities, including creativity and problem-solving. Transformers, by processing vast amounts of digital information, act as material production engines, transforming human-readable inputs into abstract data structures, leading to outputs often more polished than what humans can produce. …”
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AWI-BS: An adaptive weight incentive for blockchain sharding by Zuobin Ying, Laican Song, Deng Chen, Wusong Lan, Ximeng Liu

“…Our analysis suggests that the processing efficiency of cross-shard transactions is consistent with the barrel effect, i.e., that efficiency is more dependent on slower processing shard. …”
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Evaluation of Drying Characteristics and Quality Attributes for Microwave Vacuum Drying of Pork Skin Crisps by Yuangang Li, Jingming Zhang, Junsheng Wang, Junpeng Ren, Chuanai Cao, Qian Liu, Xinning Huang

“…Five classical drying models were used to non-linearly fit the experimental data, and the Midilli et al. model was suitable for characterizing the MVD process of PSC. …”
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An Ultrasound Prototype for Remote Hand Movement Sensing: The Finger Tapping Case by Stefano Franceschini, Maria Maddalena Autorino, Michele Ambrosanio, Vito Pascazio, Fabio Baselice

“…From this spectrum, various characteristics of the hand movement can be extracted through appropriate processing techniques. Specifically, by performing time–frequency analysis and applying specialized data processing, tapping rates and finger displacements can be estimated. …”
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Low-cost computation for isolated sign language video recognition with multiple reservoir computing. by A R Syulistyo, Y Tanaka, D Pramanta, N Fuengfusin, H Tamukoh

“…To enhance the recognition capabilities of RC, we introduce multiple reservoirs with distinct leak rates, extracting diverse features from input videos. …”
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Patient Health Monitoring based on Cloud Computing using the Message Queuing Telemetry Transport Protocol by Laith A. Abdul-Rahaim, Shahad W.Jassim

“…The data collected by the sensors includes readings from body temperature, heart rate, and oxygen. …”
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Hybrid Reinforcement Learning-Based Collision Avoidance Algorithm for Autonomous Vehicle Clusters by Chubing Guo, Jianshe Wu, Panzheng Luo, Zhigang Wang, Kai Zhang, Ziyi Yang, Zengfa Dou, Kan Song

“…Convolutional neural network is used to process image data to capture spatial information in traffic scenes, and time series data is combined with long and short time memory network to capture the time dependence of vehicle motion. …”
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Predicting ICU mortality in heart failure patients based on blood tests and vital signs by Yeao Wang, Jianke Rong, Zhili Wei, Xiaoyu Bai, YunDan Deng

“…Enhance the accuracy of data analysis and improve the universality of the model, all data underwent rigorous preprocessing prior to training, combined with data standardization. …”
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