Evaluating Optimal Deep Learning Models for Freshness Assessment of Silver Barb Through Technique for Order Preference by Similarity to Ideal Solution with Linear Programming by Atchara Choompol, Sarayut Gonwirat, Narong Wichapa, Anucha Sriburum, Sarayut Thitapars, Thanakorn Yarnguy, Noppakun Thongmual, Waraporn Warorot, Kiatipong Charoenjit, Ronnachai Sangmuenmao

“…Automating fish freshness assessment is crucial for ensuring quality control and operational efficiency in large-scale fish processing. This study evaluates deep learning models for classifying the freshness of Barbonymus gonionotus (Silver Barb) and optimizing their deployment in an automated fish quality sorting system. …”
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Improving crop image recognition performance using pseudolabels by Pengfei Deng, Zhaohui Jiang, Huimin Ma, Yuan Rao, Wu Zhang

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Selecting change image for efficient change detection by Rui Huang, Ruofei Wang, Yuxiang Zhang, Yan Xing, Wei Fan, Kai Leung Yung

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MsDC-DEQ-Net: Deep Equilibrium Model (DEQ) with Multiscale Dilated Convolution for Image Compressive Sensing (CS) by Youhao Yu, Richard M. Dansereau

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On the effect of sampling frequency on the electricity theft detection performance by Fatemeh Soleimani Nasab, Foad Ghaderi

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Preparation and characterization of low-cost ceramic microfiltration membranes for water treatment by Ghouil Boudjemaa, Khebli Zineb, Bouzerara Ferhat, Zermani Dounia, Zitouni Chahinez, Youla Keltoum, Idoui Tayeb, Khennouf Tarek

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Optimization Techniques for Verification of Out-of-Order Execution Machines by Sudarshan K. Srinivasan

“…The optimization techniques work by reducing the computational complexity of the refinement map, a function central to refinement proofs that maps ooo processor model states to ISA states. …”
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Bayes‐optimal tracking of two statistically correlated targets in general clutter by Ronald Mahler

“…Abstract The Bernoulli filter is a very general, computationally feasible Bayes‐optimal approach for tracking a single disappearing and reappearing target, using a single sensor whose observations are corrupted by missed detections and a known, general point‐clutter process. …”
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Minimum phase finite impulse response filter design by Jan C. Olivier, Etienne Barnard

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Multi‐task image restoration network based on spatial aggregation attention and multi‐feature fusion by Chunyan Peng, Xueya Zhao, Yangbo Chen, Wanqing Zhang, Yuhui Zheng

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A Deep Reinforcement Learning Approach for Portfolio Management in Non-Short-Selling Market by Ruidan Su, Chun Chi, Shikui Tu, Lei Xu

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A Robust Sidelobe Cancellation Algorithm Based on Beamforming Vector Norm Constraint by Qing Wang, Huanding Qin, Kai Yang, Hao Wu, Fangmin He, Jin Meng

“…However, traditional SLC suffers from the issue of partially canceling the desired signal at high signal-to-noise ratio (SNR), primarily due to unconstrained beamforming processing. Extensive research has been conducted to address this problem; however, existing algorithms have limitations such as dependence on knowledge of signal array vectors or number of interferers and involve high computational complexity. …”
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A fast Wigner Hough transform algorithm for parameter estimation of low probability of intercept radar polyphase coded signals by Jincheng Yang, Shiwen Chen, Jinpeng Dong, Xiao Han

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Personalized zero‐watermark algorithm based on non‐uniform weighted reconstruction and WGAN by Yiran Peng, Chenheng Deng, Jiaqi Li, KinTak U

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Iris image retrieval using partial matching of image blocks by Fahimeh Afkhamnia, Farsad Zamani Boroujeni, Mohammad Reza Soltanaghaei

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Multiple‐input multiple‐output with frequency diverse array radar transmit beamforming design for low‐probability‐of‐intercept in cluttered environments by Panke Jiang, Pengcheng Gong, Yuntao Wu, Xiong Deng

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Memory‐ and time‐efficient dense network for single‐image super‐resolution by Nasrin Imanpour, Ahmad R. Naghsh‐Nilchi, Amirhassan Monadjemi, Hossein Karshenas, Kamal Nasrollahi, Thomas B. Moeslund

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Wavelet filterbank‐based EEG rhythm‐specific spatial features for covert speech classification by Sukanya Biswas, Rohit Sinha

“…The proposed approach has the potential to be useful in other brain‐computer interface paradigms that employ EEG signals.…”
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MW‐SAM:Mangrove wetland remote sensing image segmentation network based on segment anything model by Yu Zhang, Xin Wang, Jingye Cai, Qun Yang

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Simultaneous single image super‐resolution and blind Gaussian denoising via slim ghost full‐frequency residual blocks by Saghar Farhangfar, Aryaz Baradarani, Mohammad Asadpour, Mohammad Ali Balafar, Roman Gr. Maev

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