STar-DETR: A Lightweight Real-Time Detection Transformer for Space Targets in Optical Sensor Systems by Yao Xiao, Yang Guo, Qinghao Pang, Xu Yang, Zhengxu Zhao, Xianlong Yin

“…Subsequently, the dynamic depthwise shuffle transformer (DDST) feature fusion module is introduced to emphasize the trajectory formed by space target exposure. Finally, the minimum points distance scylla intersection over union (MPDSIoU) loss function is developed to enhance regression accuracy and expedite model convergence. …”
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An FPGA Prototype for Parkinson’s Disease Detection Using Machine Learning on Voice Signal by Mujeev Khan, Abdul Moiz, Gani Nawaz Khan, Mohd Wajid, Mohammed Usman, Jabir Ali

“…To enhance classification performance and reduce computational complexity, we evaluate three feature selection algorithms &#x2014; Chi-squared (<inline-formula> <tex-math notation="LaTeX">$\chi ^{2}$ </tex-math></inline-formula>), Minimum Redundancy Maximum Relevance (mRMR), and Analysis of Variance (ANOVA) &#x2014; and adopt an incremental feature selection approach, where each feature set increment is assessed across five classifiers: K-Nearest Neighbors (KNN), Decision Tree (DT), Artificial Neural Network (ANN), Logistic Regression (LR), and Support Vector Machine (SVM). …”
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Design and TCAD analysis of few-layer graphene/ZnO nanowires heterojunction-based photodetector in UV spectral region by Shonak Bansal, Sandeep Kumar, Arpit Jain, Vinita Rohilla, Krishna Prakash, Anupma Gupta, Tanweer Ali, Abdulmajeed M. Alenezi, Mohamed Shabiul Islam, Mohamed S. Soliman, Mohammad Tariqul Islam

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Optimization of abdominal CT based on a model of total risk minimization by putting radiation risk in perspective with imaging benefit by Francesco Ria, Anru R. Zhang, Reginald Lerebours, Alaattin Erkanli, Ehsan Abadi, Daniele Marin, Ehsan Samei

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The Kernel Density Estimation Technique for Spatio-Temporal Distribution and Mapping of Rain Heights over South Africa: The Effects on Rain-Induced Attenuation by Yusuf Babatunde Lawal, Pius Adewale Owolawi, Chunling Tu, Etienne Van Wyk, Joseph Sunday Ojo

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2dSpAn-Auto: an automated tool for analysis of two-dimensional dendritic spine images by Shauvik Paul, Rahul Pramanick, Nirmal Das, Ewa Baczynska, Zeinab Bedrood, Tapabrata Chakraborti, Subhadip Basu, Jakub Wlodarczyk

“…Results 2dSpAn-Auto is validated across multiple imaging modalities (in vitro, ex vivo, and in vivo) for automatic assessment of dendritic spine parameters including spine density, morphometry (spine area, spine length, head width, minimum and average neck width), and total dendrite length. …”
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Genetic algorithm optimization of ensemble learning approach for improved land cover and land use mapping: Application to Talassemtane National Park by Ali Azedou, Aouatif Amine, Isaya Kisekka, Said Lahssini

“…Multiple Machine Learning (ML) classifiers including Random Forest (RF), Support Vector Machines (SVM), Naive Bayes (NB), Classification and Regression Tree (CART), Minimum Distance (MinD), and Gradient Tree Boost (GTB), and a Grid Search (GS)-optimized ensemble-were evaluated. …”
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Design Optimization of Feedforward Equalization for Mobile Fronthaul Based on Delta-Sigma Modulation With High-Order QAM Signals by Jianghao Li, Yangsheng Yuan, Yangjian Cai

“…Our results show that, under the minimum computational complexity, the maximum transmission capacity can reach 8.98 Gbps when using the FFE scheme with 11 taps and step size of 3 &#x00D7; 10^-5 or 3.5 &#x00D7; 10^-5 and the average error vector magnitude (EVM) can be minimized to a level less than 0.032 with 19 taps and step size of 4 &#x00D7; 10^-5 or 4.5 &#x00D7; 10^-5 for 1-bit quantization system while for 2-bit quantization system, the maximum transmission capacity of 11.4 Gbps can be obtained when employing the FFE scheme with 19 taps and step size of 3.5 &#x00D7; 10^-5 and the minimal average EVM less than 0.01 can be achieved with 19 taps and step size of 4 &#x00D7; 10^-5. …”
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Reliability Analysis of Three-dimensional Soil Slopes Considering Spatial Variability of Soil Parameters by Wan Yukuai, Zhou Yuqi, Shao Linlan, Wang Yuke, Zhang Fei

“…Refined iteration termination criteria are incorporated to expedite convergence toward the minimum factor of safety (F) and corresponding critical surface, thereby improving computational efficiency for reliability analysis. …”
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A nano-design of a quantum-based arithmetic and logic unit for enhancing the efficiency of the future IoT applications by Seyed Sajad Ahmadpour, Maryam Zaker, Nima Jafari Navimipour, Neeraj Kumar Misra, Muhammad Zohaib, Sankit Kassa, Arash Heidari, Ahmad Habibizad Navin, Mehdi Hosseinzadeh, Musawer Hakimi

“…By reducing the energy requirements to a minimum, QCA technology makes IoT devices secure. …”
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Characteristics of spatial detection capability for seismic response and data compensation method in underground mines by Changbin WANG, Anye CAO, Guangyao SI, Bing WANG, Xu YANG, Ning ZHANG, Yang YUE

“…The results show that: PMC offers advantages over the classic Minimum Magnitude of Completeness approach in seismology, including independence from the Gutenberg-Richter law, simpler computation, and higher evaluation accuracy. …”
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Optimal configuration of a solar-powered Organic Rankine Cycle power plant utilizing thermochemical energy storage by Sofiene Mellouli, Talal Alqahtani, Salem Algarni, Abdullah A. Faqihi, Badr M. Alshammari, Lioua Kolsi

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MPC based frequency control of an autonomous microgrid integrated with electric vehicles by Abdullahi Bala Kunya, Muhamad M. Mundu, Aminu Babangida, Péter Tamás Szemes

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Excellent piezoelectric and ferroelectric properties of ScxGa1−xN alloy with high Sc concentration by Masato Uehara, Kenji Hirata, Yoshiko Nakamura, Sri Ayu Anggraini, Kazuki Okamoto, Hiroshi Yamada, Hiroshi Funakubo, Morito Akiyama

“…The maximum piezoelectric constant d33 of 33 pC/N exceeds the values of ScxAl1−xN used in radio frequency filters. The minimum coercive field of ferroelectricity Ec of 1.49 MV/cm is the lowest of any ferroelectric wurtzite to date and is comparable to those of state-of-the-art ferroelectric HfO2-based materials used in compute-in-memory for artificial intelligence. …”
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A Design Guideline for Mode (DE) Multiplexer Based on Integrated Tapered Asymmetric Directional Coupler by Haowen Shu, Bitao Shen, Qingzhong Deng, Ming Jin, Xingjun Wang, Zhiping Zhou

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HD-MVCNN: High-density ECG signal based diabetic prediction and classification using multi-view convolutional neural network by D. Santhakumar, K. Dhana Shree, M. Buvanesvari, A. Saran Kumar, Ayodeji Olalekan Salau

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An efficient approach for mathematical modeling and parameter estimation of PEM fuel based on Young’s double-slit experiment algorithm by Basma S. Alqadi, Deema Mohammed Alsekait, Mohamed F. Issa, Essam H. Houssein, Fatma H. Ismail, Mokhtar Said, Nour Mostafa, Fahmi Elsayed

“…Comparative analysis demonstrates that the YDSE algorithm outperforms competing methods by achieving the lowest Sum of Square Error (SSE) with a minimum value of approximately 1.9454, compared to higher values in other algorithms. …”
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Detection of Maize Pathogenic Fungal Spores Based on Deep Learning by Yijie Ren, Ying Xu, Huilin Tian, Qian Zhang, Mingxiu Yang, Rongsheng Zhu, Dawei Xin, Qingshan Chen, Qiaorong Wei, Shuang Song

“…To improve the recognition accuracy of various maize disease spores, this study introduced the YOLOv8s-SPM model by incorporating the space-to-depth and convolution (SPD-Conv) layers, the Partial Self-Attention (PSA) mechanism, and Minimum Point Distance Intersection over Union (MPDIoU) loss function. …”
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Laser-based transmission-reflection fusion device for coal-water mixture concentration measurement by GUO Yu, YANG Chengtao, CHEN Feng, JIANG Peiwen, LI Bing, MA Yancao, XU Rui, HUO Xuesong, TIAN Mi, WU Tengfei

“…The digital signals were superimposed and then processed for grayscale transformation and feature region selection, which helped reduce computational complexity and eliminate interference. …”
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Characterizing the Observational Properties of the Sun’s High-latitude m = 1 Inertial Mode by Boyang Ding, Junwei Zhao, Ruizhu Chen, Matthias Waidele, Sushant S. Mahajan, Oana Vesa

“…The mode’s power exhibits an anticorrelation with solar activity, remaining strong and persistent during the solar activity minimum and becoming weaker and more fragmented during the solar maximum. …”
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