IEDSFAN: information enhancement and dynamic-static fusion attention network for traffic flow forecasting by Lianfei Yu, Ziling Wang, Wenxi Yang, Zhijian Qu, Chongguang Ren

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Distance and Density Similarity Based Enhanced k-NN Classifier for Improving Fault Diagnosis Performance of Bearings by Sharif Uddin, Md. Rashedul Islam, Sheraz Ali Khan, Jaeyoung Kim, Jong-Myon Kim, Seok-Man Sohn, Byeong-Keun Choi

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A hardware prototype of wideband high‐dynamic range analog‐to‐digital converter by Satish Mulleti, Eliya Reznitskiy, Shlomi Savariego, Moshe Namer, Nimrod Glazer, Yonina C. Eldar

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Improving the Accuracy Rate of Link Quality Estimation Using Fuzzy Logic in Mobile Wireless Sensor Network by Zhirui Huang, Lip Yee Por, Tan Fong Ang, Mohammad Hossein Anisi, Mohammed Sani Adam

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Novel and Efficient Randomized Algorithms for Feature Selection by Zigeng Wang, Xia Xiao, Sanguthevar Rajasekaran

“…We conduct theoretical computational complexity analysis and further explain our algorithms’ generic parallelizability. …”
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Adsorptive Removal of Hexavalent Chromium by Diphenylcarbazide-Grafted Macadamia Nutshell Powder by Londolani C. Maremeni, Sekomeng J. Modise, Fanyana M. Mtunzi, Michael J. Klink, Vusumzi E. Pakade

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QoS-Aware Routing Mechanism in OpenFlow-Enabled Wireless Multimedia Sensor Networks by Li Han, Shimin Sun, Bokgyu Joo, Xianshu Jin, Sunyoung Han

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Image smoothing method based on global gradient sparsity and local relative gradient constraint optimization by Siyuan Li, Yuan Liu, Jiafu Zeng, Yepeng Liu, Yue Li, Qingsong Xie

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Design and Study of a Miniaturized Millimeter Wave Array Antenna for Wireless Body Area Network by Abdullah G. Alharbi, H. M. Arifur Rahman, Mohammad Monirujjaman Khan, Muhammad Inam Abbasi, Amani Abdulrahman Albraikan, Faris A. Almalki

“…To justify the eligibility of these designs for WBAN applications, a virtual human body model was created within the 3D computer-simulated environment and the simulations were repeated, where four equal-spaced distances were taken into account to identify the antenna and its array behavior more accurately. …”
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Antimicrobial resistance in diverse urban microbiomes: uncovering patterns and predictive markers by Rodolfo Brizola Toscan, Wojciech Lesiński, Piotr Stomma, Balakrishnan Subramanian, Paweł P. Łabaj, Witold R. Rudnicki, Witold R. Rudnicki

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A Coverage and Slicing Dependencies Analysis for Seeking Software Security Defects by Hui He, Dongyan Zhang, Min Liu, Weizhe Zhang, Dongmin Gao

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Advanced Deep Learning Algorithms for Energy Optimization of Smart Cities by Izabela Rojek, Dariusz Mikołajewski, Krzysztof Galas, Adrianna Piszcz

“…However, there is a view that if the pace of development is maintained with large amounts of data, the computational/energy costs may exceed the benefits. The article aims to conduct a comparative analysis and assess the development potential of this group of technologies, taking into account energy efficiency.…”
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Orthogonal Capsule Network with Meta-Reinforcement Learning for Small Sample Hyperspectral Image Classification by Prince Yaw Owusu Amoako, Guo Cao, Boshan Shi, Di Yang, Benedict Boakye Acka

“…Experimental results on four rich Chinese hyperspectral datasets demonstrate the OCN-MRL model’s competitiveness in both higher classification accuracy and less computational cost compared to existing CapsNet-based methods.…”
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Incremental Graph Regulated Nonnegative Matrix Factorization for Face Recognition by Zhe-Zhou Yu, Yu-Hao Liu, Bin Li, Shu-Chao Pang, Cheng-Cheng Jia

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A learning‐based approach to regression analysis for climate data–A case of Northeast China by Jiaxu Guo, Yidan Xu, Liang Hu, Xianwei Wu, Gaochao Xu, Xilong Che

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Paddy Crop and Weed Discrimination: A Multiple Classifier System Approach by Radhika Kamath, Mamatha Balachandra, Srikanth Prabhu

“…One such technique is computer vision-based automatic weed detection and identification. …”
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diaTracer enables spectrum-centric analysis of diaPASEF proteomics data by Kai Li, Guo Ci Teo, Kevin L. Yang, Fengchao Yu, Alexey I. Nesvizhskii

“…We introduce diaTracer, a spectrum-centric computational tool optimized for diaPASEF data. diaTracer performs three-dimensional (mass to charge ratio, retention time, ion mobility) peak tracing and feature detection to generate precursor-resolved “pseudo-tandem mass spectra”, facilitating direct (“spectral-library free”) peptide identification and quantification from diaPASEF data. diaTracer is available as a stand-alone tool and is fully integrated into the widely used FragPipe computational platform. …”
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Typhoon localization detection algorithm based on TGE-YOLO by Lan He, Ling Xiao, Peihao Yang, Sheng Li

“…Secondly, the GSConv convolution is used to replace traditional convolution to reduce the computational cost of the model and effectively aggregate global information. …”
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An Improved Grasshopper Optimizer for Global Tasks by Hanfeng Zhou, Zewei Ding, Hongxin Peng, Zitao Tang, Guoxi Liang, Huiling Chen, Chao Ma, Mingjing Wang

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Geometric Brownian Motion-Based Time Series Modeling Methodology for Statistical Autocorrelated Process Control: Logarithmic Return Model by Siaw Li Lee, Chin Ying Liew, Chee Khium Chen, Li Li Voon

“…The LR model was obviously parsimonious and easier to compute and took a shorter running time than the ARIMA model. …”
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