Nighttime Vehicle Detection Algorithm Based on Improved YOLOv7 by Fan Zhang

“…Visualization results validate the robustness of the algorithm in long-distance, multi-target, and complex lighting scenarios. This study provides a high-precision real-time detection solution for nighttime environment sensing for autonomous driving.…”
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AEMF: An Attention-Based Efficient and Multifeature Fast Text Detector by Wanqi Ma, Chaoyu Yang, Jie Yang, Jian Wu

“…Yet, in complex industrial scenarios, traditional detection methods are often unable to meet the requirements, which suffer from many problems of low accuracy and efficiency. …”
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FocusDet: an efficient object detector for small object by Yanli Shi, Yi Jia, Xianhe Zhang

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Experimental Validation of the LabSOCS Detector Efficiency Simulation by Guilherme Soares Zahn, Frederico Antonio Genezini

“…The precise knowledge of the detection efficiency for gamma ray spectrometers is often of paramount importance, and its experimental determination can be both time-consuming and challenging, especially for complex geometries and/or extensive sources. …”
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Measuring communities’ efficiencies within the global tourism network by He Zhu

“…Additionally, through theoretical deduction, we develop methods to assess the communities’ structural, performance, and functional efficiency, calculating their efficiencies to reveal evolutionary trends. …”
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THE PROBLEMS OF MEASUREMENT THE HIGHER PROFESSIONAL EDUCATION INSTITUTIONS EFFICIENCY by L. M. Nurieva, S. G. Kiselev

“…The aim of the article is to analyze the results of monitoring efficiency of universities by the example of educational institutions of the Omsk region.Methods. …”
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Humans learn generalizable representations through efficient coding by Zeming Fang, Chris R. Sims

“…Here, we propose refining the classical reinforcement learning framework by incorporating an efficient coding principle, which emphasizes maximizing reward using the simplest necessary representations. …”
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Optimized Wireless Sensor Network Architecture for AI-Based Wildfire Detection in Remote Areas by Safiah Almarri, Hur Al Safwan, Shahd Al Qisoom, Soufien Gdaim, Abdelkrim Zitouni

“…Wildfires are complex natural disasters that significantly impact ecosystems and human communities. …”
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Construction of 2D TiO₂@MoS₂ Heterojunction Nanosheets for Efficient Toluene Gas Detection by Dehui Wang, Jinwu Hu, Hui Xu, Ding Wang, Guisheng Li

“…Monitoring trace toluene exposure is critical for early-stage lung cancer screening via breath analysis, yet conventional chemiresistive sensors face fundamental limitations, including compromised selectivity in complex VOC matrices and humidity-induced signal drift, with prevailing p–n heterojunction architectures suffering from inherent charge recombination and environmental instability. …”
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Blockage detection in pipelines based on linear frequency modulated acoustic reflection method by Haiyuan Yao, Dan Li, Yan Li, Bo Yang, Yang Meng

“…This study proposes a novel acoustic-based structural health monitoring system integrating linear frequency modulated (LFM) signals with adaptive matched filtering, specifically designed for early blockage detection in complex pipeline networks, including those in built environments. …”
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Potato late blight leaf detection in complex environments by Jingtao Li, Jiawei Wu, Rui Liu, Guofeng Shu, Xia Liu, Kun Zhu, Changyi Wang, Tong Zhu

“…Abstract Potato late blight is a common disease affecting crops worldwide. To help detect this disease in complex environments, an improved YOLOv5 algorithm is proposed. …”
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NavBLIP: a visual-language model for enhancing unmanned aerial vehicles navigation and object detection by Ye Li, Li Yang, Meifang Yang, Fei Yan, Tonghua Liu, Chensi Guo, Rufeng Chen

“…Additionally, these methods often fail to effectively integrate multimodal inputs, which restricts their adaptability and generalization capabilities when facing complex and diverse scenarios.MethodsTo address these challenges, we introduce NavBLIP, a novel visual-language model specifically designed to enhance UAV navigation and object detection by utilizing multimodal data. …”
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Enhancing the Precision and Efficiency of Pulmonary Tumor Detection With Robotic‐Assisted 18F‐FDG PET/CT‐Guided Lung Biopsy: A Case Report by Jian Liu, Chuan Xu, Haiyan Li, Bing Niu, Kai Xu, Xia Lu

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Tuning Frontiers of Efficiency in Tissue P Systems with Evolutional Communication Rules by David Orellana-Martín, Luis Valencia-Cabrera, Bosheng Song, Linqiang Pan, Mario J. Pérez-Jiménez

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Face Detection Using Hybrid SNN-ANN to Process Neuromorphic Event Stream by Waseem Shariff, Paul Kielty, Joe Lemley, Peter Corcoran

“…This paper tackles the challenges of face detection, a vital computer vision task with wide-ranging applications, particularly in driver monitoring systems, where both accuracy and computational efficiency are crucial. …”
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Diagnostic efficiency of exome-based sequencing in pediatric patients with epilepsy by Huafang Zou, Huafang Zou, Qian Zhang, Jianxiang Liao, Jianxiang Liao, Dongfang Zou, Zhanqi Hu, Bing Li, Li Chen, Jialun Wen, Xia Zhao, Victor Wei Zhang, Dezhi Cao, Dezhi Cao

“…This study aims to evaluate the detection efficiencies of different exome-based sequencing techniques.MethodsExome-based epilepsy panel tests, clinical exome sequencing (CES), and whole exome sequencing (WES) were conducted on 259 pediatric patients diagnosed with epilepsy. …”
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An efficient graph attention framework enhances bladder cancer prediction by Taghreed S. Ibrahim, M. S. Saraya, Ahmed I. Saleh, Asmaa H. Rabie

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Examining the Efficiency of Learning-Based Algorithms in the Process of Declaring Customs by Mustafa Günerkan, Ender Şahinaslan, Önder Şahınaslan

“…In the face of the diversity, dynamism, and complexity of the methods used in creating this declaration, human-induced declaration files are produced erroneously. …”
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A YOLO-Based Method for Head Detection in Complex Scenes by Ming Xie, Xiaobing Yang, Boxu Li, Yingjie Fan

“…This paper introduces a novel head detection algorithm, YOLO-Based Head Detection in Complex Scenes (YOLO-HDCS). …”
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Lightweight Detection Methods for Multi-Scale Targets in Complex Scenarios by Anjun Yu, Zhichao Rao, Yonghua Xiong, Jinhua She

“…Detecting multi-scale objects in complex scenes is crucial for real-time applications in building safety, where accurate monitoring of safety equipment under challenging conditions is essential. …”
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